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2026-02-13 14:23:19 +01:00
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-- To be imported
--Forward Curves
--Mtm formula LINKED TO physical contract
-- All counterparties
SELECT
C.Id AS SupplierId,
C.Name,
C.Description,
C.Address,
C.City,
C.ZipCode,
C.Type,
C2.CountryName,
L.LocationName
FROM counterpart.Company AS C
LEFT JOIN geo.Location AS L ON C.LocationId = L.Id
LEFT JOIN geo.Country AS C2 ON C.CountryId = C2.Id
-- All counterparties for import
SELECT
--ROW_NUMBER() OVER (ORDER BY C.name) AS code,
C.Name,
'' AS tax_identifier,
'' AS vat_code,
'' AS address_name,
CASE REPLACE(LTRIM(RTRIM(C.Address)),'"','')
WHEN '0' THEN ''
WHEN '.' THEN ''
WHEN 'a' THEN ''
ELSE REPLACE(LTRIM(RTRIM(C.Address)),'"','') END
AS street,
ISNULL(L.LocationName,'') AS city,
C.ZipCode AS zip,
C2.IsoCode2 AS country_code,
'' AS subdivision_code
FROM counterpart.Company AS C
LEFT JOIN geo.Location AS L ON C.LocationId = L.Id
LEFT JOIN geo.Country AS C2 ON C.CountryId = C2.Id
ORDER BY c.Name
-- Supplier used in purchase contracts
SELECT DISTINCT
C.Id AS SupplierId,
C.Name,
C.Description,
C.Address,
C.City,
C.ZipCode,
C.Type,
C2.CountryName,
L.LocationName
FROM dbo.Deal AS D
LEFT JOIN counterpart.Company AS C ON D.CounterpartId = C.Id
LEFT JOIN geo.Location AS L ON C.LocationId = L.Id
LEFT JOIN geo.Country AS C2 ON C.CountryId = C2.Id
WHERE 1=1
AND D.Status <> 'Cancelled'
AND D.BuyOrSell = 1
-- Customers used in sale contracts
SELECT DISTINCT
C.Id AS CustomerId,
C.Name,
C.Description,
C.Address,
C.City,
C.ZipCode,
C.Type,
C2.CountryName,
L.LocationName
FROM dbo.Deal AS D
LEFT JOIN counterpart.Company AS C ON D.CounterpartId = C.Id
LEFT JOIN geo.Location AS L ON C.LocationId = L.Id
LEFT JOIN geo.Country AS C2 ON C.CountryId = C2.Id
WHERE 1=1
AND D.Status <> 'Cancelled'
AND D.BuyOrSell <> 1
-- Type de produits tradé -> Desk
SELECT
D.Id AS DeskId,
D.Caption AS Desk,
D.Description AS Description,
D.DeskType,
D.IsDefaultDesk,
D.DefaultUnitReference,
D.ActualMT,
D.QuantityPrecision,
D.ActualM3,
D.MT2BBLPrecision
FROM profiles.Desk AS D
-- Book: utilisé pour classer les deals FY (projection)
SELECT
B.Id AS BookId,
B.Caption AS Book,
B.Description AS Description,
D.Caption AS Desk,
B.Year,
B.IsActive
FROM Book AS B
INNER JOIN profiles.Desk AS D ON B.DeskId = D.Id
ORDER BY B.Year
-- Lien entre company (supplier, client...) et le produits tradé
SELECT
C.Name,
D.Caption
FROM dbo.CompanyDeskAndTradingUnit AS CDATU
INNER JOIN counterpart.Company AS C ON CDATU.CompanyId = C.Id
INNER JOIN profiles.Desk AS D ON CDATU.DeskId = D.Id
-- Users
SELECT
XU.Id AS UserId,
XU.FirstName,
XU.LastName,
XU.Login AS LoginName,
D.Caption AS Desk,
D.Description AS DeskDescription,
P.Caption AS ProfileName,
P.Description AS ProfileDescription,
XU.IsAdmin,
XU.IsActive,
XU.IsSystemAdministrator
FROM profiles.XUser AS XU
INNER JOIN profiles.Desk AS D ON XU.DeskId = D.Id
INNER JOIN profiles.Profile AS P ON XU.ProfileId = P.Id
WHERE 1=1
AND XU.Login NOT IN ('Sylvain.Duvernay','Nicolas.Vignon', 'Walter.Marques', 'Katia.Savtsenko', 'Arnaud.Chevallier')
-- Security Group
SELECT *
FROM profiles.Profile AS P
-- Strategy and related book
SELECT
S.Id AS StrategyId,
S.Caption AS StrageyName,
S.Description AS StrategyDescription,
B.Caption AS Book,
B.Year AS YearBook,
S.IsActive
FROM dbo.Strategy AS S
INNER JOIN dbo.Book AS B ON S.BookId = B.Id
ORDER BY B.Year DESC
-- Product Type
SELECT
PT.Id AS ProductTypeId,
PT.Caption AS ProductType,
PT.Description
FROM dbo.ProductType AS PT
-- Product Familly
SELECT
PF.Id AS ProductFamilyId,
PF.Caption AS ProductFamily,
PF.Description,
PT.Caption AS ProductType
FROM dbo.ProductFamily AS PF
INNER JOIN ProductType AS PT ON PF.ProductTypeId = PT.Id
-- Product
SELECT
P.Id AS ProductId,
P.ProductName,
PF.Caption AS ProductFamily,
PT.Caption AS ProductType,
P.DegreeApi,
p.Density,
P.Mt2BblFactor,
P.Density20,
P.Basis
FROM dbo.Product AS P
INNER JOIN dbo.ProductFamily AS PF ON P.FamilyId = PF.Id
INNER JOIN dbo.ProductType AS PT ON PF.ProductTypeId = PT.Id
-- Product Polluant
SELECT
PP.Id AS PolluantId,
PP.PollutantName,
PP.EmissionFactor,
P.ProductName
FROM dbo.ProductPollutant AS PP
INNER JOIN dbo.Product AS P ON PP.ProductId = P.Id
-- Continent
SELECT
C.Id AS ContinentId,
C.ContinentName
FROM geo.Continent AS C
-- Country
SELECT
C.Id AS CountryId,
C.CountryName,
C.IsoCode2,
C.IsoCode3,
C2.ContinentName,
C.BoundNorth,
C.BoundEast,
C.BoundSouth,
C.BoundWest
FROM geo.Country AS C
INNER JOIN geo.Continent AS C2 ON C.ContinentId = C2.Id
-- Incoterm
SELECT
BD.Id AS IncotermId,
BD.Caption AS IncotermAbbr,
Bd.Description AS Incoterm
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'Incoterm'
-- Payment Term Type
SELECT
BD.Id AS PayTermSecurityTypeId,
BD.Caption AS PayTermSecurityTypeAbbr,
Bd.Description AS PayTermSecurityType
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'PayTermSecurityType'
SELECT BD.Caption, DPT.PayTermRangeSize, COUNT(*)
FROM dbo.DealPaymentTerm AS DPT
INNER JOIN dbo.Deal AS D ON DPT.DealId = D.Id
INNER JOIN dbo.BaseDefinition AS BD ON D.PayTermSecurityTypeId = BD.Id
WHERE 1=1
AND DPT.PayTermRangeSize > 0
GROUP BY BD.Caption, DPT.PayTermRangeSize
ORDER BY 3 DESC
-- Delivery Period (no relation with time dimension)
SELECT
BD.Id AS DeliveryPeriodId,
BD.Caption AS DeliveryPeriodAbbr,
Bd.Description AS DeliveryPeriod
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'DeliveryPeriod'
-- Basis Document Type
SELECT
BD.Id AS BasisDocumentId,
BD.Caption AS BasisDocumentAbbr,
Bd.Description AS BasisDocument
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'BasisDocumentType'
-- BusinessArea
SELECT
BD.Id AS BusinessAreaId,
BD.Caption AS BusinessAreaAbbr,
Bd.Description AS BusinessArea
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'BusinessArea'
-- CostGroup
SELECT
BD.Id AS CostGroupId,
BD.Caption AS CostGroupAbbr,
Bd.Description AS CostGroup
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'CostGroup'
-- CostType
SELECT
--BD.Id AS CostTypeId,
BD.Caption AS [code],
Bd.Description AS [name],
'SERVICES' AS [category],
'Mt' AS [uom],
0 as [sale_price],
0 as [cost_price],
'' AS [description]
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'CostType'
ORDER BY 1
-- Jurisdiction
SELECT
BD.Id AS JurisdictionId,
BD.Caption AS JurisdictionAbbr,
Bd.Description AS Jurisdiction
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'Jurisdiction'
-- Exchange
SELECT
BD.Id AS ExchangeId,
BD.Caption AS ExchangeAbbr,
Bd.Description AS Exchange
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'Exchange'
-- Quotation/Price Provider
SELECT
BD.Id AS SourceId,
BD.Caption AS SourceAbbr,
Bd.Description AS Source
FROM dbo.BaseDefinition AS BD
WHERE BD.ClassType = 'QuoteSource'
-- Terminal
SELECT
T.Id AS TerminalId,
T.TerminalName,
L.LocationName,
C.Name AS TerminalOwner
FROM dbo.Terminal AS T
INNER JOIN geo.Location AS L ON T.LocationId = L.Id
INNER JOIN counterpart.Company AS C ON T.OwnerId = C.Id
-- Vessel
SELECT
T.Id AS VesselId,
T.TransporterName,
T.TransportType,
T.Draught,
T.BuildingYear,
c.Name AS VesselOwner,
C2.CountryName AS Flag,
T.ImoNB,
T.CharterType,
T.DeadWeightMT
FROM dbo.Transporter AS T
LEFT JOIN counterpart.Company AS C ON T.OwnerId = C.Id
LEFT JOIN geo.Country AS C2 ON T.FlagId = C2.Id
-- Vessel for insert in TradOn (CSV file structure)
SELECT
(SELECT STRING_AGG(
UPPER(LEFT(value, 1)) + LOWER(SUBSTRING(value, 2, LEN(value))),
' '
)
FROM STRING_SPLIT(T.TransporterName, ' ')
) AS vessel_name,
T.BuildingYear AS vessel_year,
T.ImoNB AS vessel_imo
FROM dbo.Transporter AS T
-- All EUCLID Locations
SELECT
L.Id AS LocationId,
L.LocationName,
L.CoordinateX,
L.CoordinateY,
C.CountryName,
C2.ContinentName,
BD.ClassType,
BD.Caption
FROM geo.Location AS L
INNER JOIN geo.Country AS C ON L.CountryId = C.Id
INNER JOIN geo.Continent AS C2 ON C.ContinentId = C2.Id
INNER JOIN dbo.BaseDefinition AS BD ON L.TypeId = BD.Id
-- Stock Locations (supplier) - CSV file structure
SELECT DISTINCT
LTRIM(RTRIM(LOA.LocationName)) AS [name],
'supplier' AS [type],
LOA.CoordinateX AS [lat],
LOA.CoordinateY AS [lon]
FROM dbo.Deal AS D
LEFT JOIN geo.Location AS LOA ON D.LoadLocationId = LOA.Id
LEFT JOIN geo.Country AS C_L ON LOA.CountryId = C_L.Id
--LEFT JOIN geo.Location AS DIS ON D.DeliveryLocationId = DIS.Id
--LEFT JOIN geo.Country AS C_D ON DIS.CountryId = C_D.Id
WHERE D.Status <> 'Cancelled'
AND ISNULL(LOA.LocationName, '') <> ''
AND LOA.Id <> '8855ED73-344C-4F8D-B4D6-DD214D3B7E61'
ORDER BY 2
-- Stock locations (customer) - CSV file structure
SELECT DISTINCT
LTRIM(RTRIM(DIS.LocationName)) AS [name],
'customer' AS [type],
DIS.CoordinateX AS [lat],
DIS.CoordinateY AS [lon]
FROM dbo.Deal AS D
LEFT JOIN geo.Location AS DIS ON D.DeliveryLocationId = DIS.Id
LEFT JOIN geo.Country AS C_D ON DIS.CountryId = C_D.Id
WHERE D.Status <> 'Cancelled'
AND LTRIM(RTRIM(DIS.LocationName)) <> ''
-- Purchase contracts
;WITH PaymentTerm AS (
SELECT D.Id AS DealId, BD.Caption, DPT.PayTermRangeSize
FROM dbo.DealPaymentTerm AS DPT
INNER JOIN dbo.Deal AS D ON DPT.DealId = D.Id
LEFT JOIN dbo.BaseDefinition AS BD ON D.PayTermSecurityTypeId = BD.Id
WHERE 1=1
AND DPT.PayTermRangeSize > 0
GROUP BY D.Id , BD.Caption, DPT.PayTermRangeSize
)
SELECT
D.Id AS source_id
, D.Id AS source_line_id
, D.Reference AS number
, ISNULL(D.OtherReference, '') AS reference
, ISNULL(D.ContractNumber, '') AS our_reference
, C.name AS party_name
, 'USD' AS currency_code
, CAST(D.Date AS DATE) AS purchase_date
, CASE
WHEN PT.Caption = 'Open account' THEN CONCAT( 'NET ' , PT.PayTermRangeSize )
WHEN PT.Caption = 'LC Doc' THEN CONCAT( 'LC ', PT.PayTermRangeSize, ' DAYS')
ELSE CONCAT( 'NET ' , PT.PayTermRangeSize )
END AS payment_term
, '' AS warehouse_code
, 'NCSW' AS weight_basis --'NCSW'
, ROUND(D.QuantityToleranceMinusPercent,2) AS tol_min_pct
, ROUND(D.QuantityTolerancePlusPercent,2) AS tol_max_pct
, D.QuantityToleranceMin AS tol_min_qty
, D.QuantityToleranceMax AS tol_max_qty
, ISNULL(LOA.LocationName, '') AS from_location_name
, ISNULL(DIS.LocationName, '') AS to_location_name
, ISNULL(INCO.Caption, '') AS incoterm_name
, 'manual' AS invoice_method
,'' AS [description]
, CONCAT( D.Reference , ' / ' , B.Description , ' / ' , S.Caption) AS [comment]
, 'line' AS line_type
, CASE
WHEN ISNULL(C2.CountryName,'') <> '' THEN CONCAT('H2SO4','-',C2.CountryName)
ELSE 'H2SO4'
END AS line_product_code
, ISNULL(C2.CountryName,'') AS origin
, ROUND(D.Quantity , 2) AS line_quantity
, 'Mt' AS line_unit_code
, ISNULL(PRICE.AvgPrice,0) AS line_price
, CONCAT(
D.Quantity , ' Mt of sulphuric acid - ',
CASE
WHEN ISNULL(D.CommodityBasis, 0) = 0 THEN 'Tel-quel'
ELSE CAST(D.CommodityBasis AS VARCHAR(MAX)) + '%'
END) AS line_description
, cast(D.DeliveryDateFrom AS DATE) AS line_from_del
, cast(D.DeliveryDateTo AS DATE) AS line_to_del
, 'bldate' AS pricing_trigger
, CAST(D.EstimatedDateOfBL AS DATE) AS pricing_estimated_date
, ISNULL( CONCAT( TRD.FirstName, ' ', TRD.LastName) , '') AS trader
, ISNULL( CONCAT( OP.FirstName, ' ', OP.LastName) , '') AS operator
, ISNULL(D.CommodityBasis, 0) AS concentration
, B.Description AS book
, S.Caption AS strategy
, ISNULL(BD.Caption , 'Laycan') AS period_at
, ISNULL(D.Demurrage, '') AS demurrage
, D.LaytimeHours AS laytime_hours
, D.NoticeOfReadinessExtraHours AS nor_extra_hours
, ISNULL(D.PumpingHourlyMTRate,0) AS pumping_rate
, D.UseOnlyMinAndMax AS use_only_min_max
, D.DropRemainingQuantity AS drop_remaining_quantity
FROM dbo.Deal AS D
LEFT JOIN dbo.Book AS B ON D.BookId = B.Id
LEFT JOIN dbo.ProductContainer AS PC ON D.Id = PC.Id
LEFT JOIN geo.Location AS LOA ON D.LoadLocationId = LOA.Id
LEFT JOIN geo.Country AS C_L ON LOA.CountryId = C_L.Id
LEFT JOIN geo.Location AS DIS ON D.DeliveryLocationId = DIS.Id
LEFT JOIN geo.Country AS C_D ON DIS.CountryId = C_D.Id
LEFT JOIN counterpart.Company AS C ON D.CounterpartId = C.Id
LEFT JOIN geo.Country AS C_CP ON C.CountryId = C_CP.Id
LEFT JOIN dbo.Product AS P ON D.ProductId = P.Id
LEFT JOIN dbo.BaseDefinition AS INCO ON D.IncotermId = INCO.Id
LEFT JOIN dbo.Strategy AS S ON D.StrategyId = S.Id
LEFT JOIN PaymentTerm AS PT ON D.Id = PT.DealId
LEFT JOIN (
SELECT DealId, AVG(MvTPrice) AS AvgPrice
FROM [singa].[VW_MVT_PRICING]
GROUP BY DealId) AS PRICE ON D.Id = PRICE.DealId
LEFT JOIN profiles.XUser AS TRD ON D.TraderId = TRD.Id
LEFT JOIN profiles.XUser AS OP ON D.OperatorId = OP.Id
LEFT JOIN dbo.BaseDefinition AS BD ON D.DeliveryPeriodId = BD.Id
LEFT JOIN geo.Country AS C2 ON D.CountryOfOriginId = C2.Id
WHERE 1=1
AND D.Status <> 'Cancelled'
AND D.BuyOrSell = 1 -- Purchase contracts
AND ISNULL(D.OtherReference, '') NOT LIKE '%ACCT Matching%'
AND B.Description LIKE '%2025%'
--AND D.Reference = 2093
ORDER BY 3,1
-- Purchase contract costs
SELECT
D.Reference AS contract_number,
LTRIM(RTRIM( ISNULL(D.OtherReference, '') )) AS contract_ref,
1 AS line_sequence,
CASE
WHEN CT.Caption = 'Commision' THEN 'Commission'
WHEN CT.Caption = 'Freight' THEN 'Maritime Freight'
ELSE CT.Caption
END AS product,
LTRIM(RTRIM( ISNULL(C.Name , 'TBD Supplier') )) AS supplier,
ER.CurrencyCode AS currency,
CASE ER.IsRevenue
WHEN 1 THEN 'REC'
ELSE 'PAY'
END AS p_r,
'Per qt' AS mode,
ROUND (
(IIF(PFE.Quantity IS NULL, PFE.WeightBalance / 100, 1) * PFE.OutputPriceValue),
2 ) AS price,
ER.UnitReference AS unit
FROM dbo.Deal AS D
LEFT JOIN dbo.Book AS B ON D.BookId = B.Id
INNER JOIN dbo.ExpenseRevenue AS ER ON D.Id = ER.DealId
INNER JOIN dbo.PriceFormulaElement AS PFE ON PFE.ExpenseRevenueId = ER.Id
INNER JOIN dbo.BaseDefinition AS CT ON ER.CostTypeId = CT.Id
LEFT JOIN counterpart.Company AS C ON ER.CounterpartId = c.Id
WHERE 1=1
AND D.Status <> 'Cancelled'
AND D.BuyOrSell = 1 -- Purchase contracts
AND ISNULL(D.OtherReference, '') NOT LIKE '%ACCT Matching%'
AND B.Description LIKE '%2025%'
AND ER.FormulaGroup NOT IN (1,2) -- Not Price or MtM
ORDER BY 2
-- Sale contracts - Copy/Paste results of this query in CSV file
;WITH PaymentTerm AS (
SELECT D.Id AS DealId, BD.Caption, DPT.PayTermRangeSize
FROM dbo.DealPaymentTerm AS DPT
INNER JOIN dbo.Deal AS D ON DPT.DealId = D.Id
LEFT JOIN dbo.BaseDefinition AS BD ON D.PayTermSecurityTypeId = BD.Id
WHERE 1=1
AND DPT.PayTermRangeSize > 0
GROUP BY D.Id , BD.Caption, DPT.PayTermRangeSize
)
SELECT
D.Id AS source_id
, D.Id AS source_line_id
, D.Reference AS number
, ISNULL(D.OtherReference, '') AS reference
, ISNULL(D.ContractNumber, '') AS our_reference
, C.name AS party_name
, 'USD' AS currency_code
, CAST(D.Date AS DATE) AS sale_date
, CASE
WHEN PT.Caption = 'Open account' THEN CONCAT( 'NET ' , PT.PayTermRangeSize )
WHEN PT.Caption = 'LC Doc' THEN CONCAT( 'LC ', PT.PayTermRangeSize, ' DAYS')
ELSE CONCAT( 'NET ' , PT.PayTermRangeSize )
END AS payment_term
, '' AS warehouse_code
, 'NCSW' AS weight_basis
, ROUND(D.QuantityToleranceMinusPercent,2) AS tol_min_pct
, ROUND(D.QuantityTolerancePlusPercent,2) AS tol_max_pct
, D.QuantityToleranceMin AS tol_min_qty
, D.QuantityToleranceMax AS tol_max_qty
, ISNULL(LOA.LocationName, '') AS from_location_name
, ISNULL(DIS.LocationName, '') AS to_location_name
, ISNULL(INCO.Caption, '') AS incoterm_name
, 'manual' AS invoice_method
,'' AS [description]
, CONCAT( D.Reference , ' / ' , B.Description , ' / ' , S.Caption) AS [comment]
, 'line' AS line_type
, CASE
WHEN ISNULL(C2.CountryName,'') <> '' THEN CONCAT('H2SO4','-',C2.CountryName)
ELSE 'H2SO4'
END AS line_product_code
, ISNULL(C2.CountryName,'') AS origin
, ROUND(D.Quantity , 2) AS line_quantity
, 'Mt' AS line_unit_code
, ISNULL(PRICE.AvgPrice,0) AS line_price
, CONCAT(
D.Quantity , ' Mt of sulphuric acid - ',
CASE
WHEN ISNULL(D.CommodityBasis, 0) = 0 THEN 'Tel-quel'
ELSE CAST(D.CommodityBasis AS VARCHAR(MAX)) + '%'
END) AS line_description
, cast(D.DeliveryDateFrom AS DATE) AS line_from_del
, cast(D.DeliveryDateTo AS DATE) AS line_to_del
, 'bldate' AS pricing_trigger
, CAST(D.EstimatedDateOfBL AS DATE) AS pricing_estimated_date
, ISNULL( CONCAT( TRD.FirstName, ' ', TRD.LastName) , '') AS trader
, ISNULL( CONCAT( OP.FirstName, ' ', OP.LastName) , '') AS operator
, ISNULL(D.CommodityBasis, 0) AS concentration
, B.Description AS book
, S.Caption AS strategy
, ISNULL(BD.Caption , 'Laycan') AS period_at
, ISNULL(D.Demurrage, '') AS demurrage
, D.LaytimeHours AS laytime_hours
, D.NoticeOfReadinessExtraHours AS nor_extra_hours
, ISNULL(D.PumpingHourlyMTRate,0) AS pumping_rate
, D.UseOnlyMinAndMax AS use_only_min_max
, D.DropRemainingQuantity AS drop_remaining_quantity
FROM dbo.Deal AS D
LEFT JOIN dbo.Book AS B ON D.BookId = B.Id
LEFT JOIN dbo.ProductContainer AS PC ON D.Id = PC.Id
LEFT JOIN geo.Location AS LOA ON D.LoadLocationId = LOA.Id
LEFT JOIN geo.Country AS C_L ON LOA.CountryId = C_L.Id
LEFT JOIN geo.Location AS DIS ON D.DeliveryLocationId = DIS.Id
LEFT JOIN geo.Country AS C_D ON DIS.CountryId = C_D.Id
LEFT JOIN counterpart.Company AS C ON D.CounterpartId = C.Id
LEFT JOIN geo.Country AS C_CP ON C.CountryId = C_CP.Id
LEFT JOIN dbo.Product AS P ON D.ProductId = P.Id
LEFT JOIN dbo.BaseDefinition AS INCO ON D.IncotermId = INCO.Id
LEFT JOIN dbo.Strategy AS S ON D.StrategyId = S.Id
LEFT JOIN PaymentTerm AS PT ON D.Id = PT.DealId
LEFT JOIN (
SELECT DealId, AVG(MvTPrice) AS AvgPrice
FROM [singa].[VW_MVT_PRICING]
GROUP BY DealId) AS PRICE ON D.Id = PRICE.DealId
LEFT JOIN profiles.XUser AS TRD ON D.TraderId = TRD.Id
LEFT JOIN profiles.XUser AS OP ON D.OperatorId = OP.Id
LEFT JOIN dbo.BaseDefinition AS BD ON D.DeliveryPeriodId = BD.Id
LEFT JOIN geo.Country AS C2 ON D.CountryOfOriginId = C2.Id
WHERE 1=1
AND D.Status <> 'Cancelled'
AND D.BuyOrSell = -1 -- Sale contracts
AND ISNULL(D.OtherReference, '') NOT LIKE '%ACCT Matching%'
AND B.Description LIKE '%2025%'
ORDER BY 2,1

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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>tryton_helpers.py — Docstrings</title>
<style>
body { font-family: Arial, Helvetica, sans-serif; line-height: 1.5; margin: 32px; color: #222 }
h1 { color: #0b4f6c }
h2 { color: #0b6d3b }
pre { background:#f6f8fa; padding:12px; border-radius:6px; overflow:auto }
code { background:#eef; padding:2px 4px; border-radius:4px }
.signature { font-family: Consolas, monospace; background:#fff8e6; padding:6px; display:inline-block; border-radius:4px }
nav ul { list-style:none; padding-left:0 }
nav li { margin:6px 0 }
footer { margin-top:40px; color:#666; font-size:0.9em }
.note { color:#8a6d3b; font-size:0.95em }
</style>
</head>
<body>
<h1>tryton_helpers.py — Docstrings</h1>
<p class="note">Generated: 2026-02-05 — Summary of Google-style docstrings for helper functions.</p>
<nav>
<h2>Contents</h2>
<ul>
<li><a href="#find_party_by_name">find_party_by_name</a></li>
<li><a href="#find_product_by_code">find_product_by_code</a></li>
<li><a href="#find_currency_by_code">find_currency_by_code</a></li>
<li><a href="#find_contract_line_by_sequence">find_contract_line_by_sequence</a></li>
<li><a href="#find_purchase_contract_by_ref">find_purchase_contract_by_ref</a></li>
<li><a href="#find_supplier_category">find_supplier_category</a></li>
<li><a href="#ensure_party_is_supplier">ensure_party_is_supplier</a></li>
<li><a href="#find_fee_mode_by_name">find_fee_mode_by_name</a></li>
<li><a href="#find_payable_receivable_by_name">find_payable_receivable_by_name</a></li>
<li><a href="#get_existing_fees_for_line">get_existing_fees_for_line</a></li>
<li><a href="#fee_already_exists">fee_already_exists</a></li>
<li><a href="#parse_decimal">parse_decimal</a></li>
</ul>
</nav>
<hr>
<section id="find_party_by_name">
<h2>find_party_by_name</h2>
<div class="signature">def find_party_by_name(party_name)</div>
<pre>
Find a party (typically a supplier, client, service provider...) by its name.
Attempts an exact name match first. If no exact match is found, performs a
case-insensitive 'ilike' lookup. If still not found, a warning is printed
and the function returns None.
Args:
party_name (str): The name of the party to search for. Leading/trailing
whitespace is ignored and empty values return None.
Returns:
object or None: The first matching Tryton `party.party` record if found,
otherwise `None` when no match exists or the input is invalid.
Notes:
- If multiple matches exist the first record returned by Tryton is used.
- This function prints a warning when no party is found.
</pre>
</section>
<section id="find_product_by_code">
<h2>find_product_by_code</h2>
<div class="signature">def find_product_by_code(product_code)</div>
<pre>
Find a product by its code.
Attempts an exact code match first. If no exact match is found, performs a
case-insensitive 'ilike' lookup. If still not found, a warning is printed
and the function returns None.
Args:
product_code (str): The code of the product to search for. Leading and
trailing whitespace is ignored and empty values return None.
Returns:
object or None: The first matching Tryton `product.product` record if
found; otherwise `None` when no match exists or the input is invalid.
Notes:
- If multiple matches exist the first record returned by Tryton is used.
- This function prints a warning when no product is found.
</pre>
</section>
<section id="find_currency_by_code">
<h2>find_currency_by_code</h2>
<div class="signature">def find_currency_by_code(currency_code)</div>
<pre>
Find a currency by its ISO code or name.
Performs a case-sensitive search by currency name after uppercasing the
input. Returns the first matching `currency.currency` record. If the input
is empty or no match is found, a warning is printed and the function
returns `None`.
Args:
currency_code (str): The currency code or name to search for. Leading
and trailing whitespace is ignored; empty values return `None`.
Returns:
object or None: The first matching Tryton `currency.currency` record
if found; otherwise `None` when no match exists or the input is
invalid.
Notes:
- This function searches by the `name` field using an uppercased exact
match. Consider expanding to include ISO code or `ilike` searches if
needed in the future.
- If multiple matches exist the first record returned by Tryton is used.
</pre>
</section>
<section id="find_contract_line_by_sequence">
<h2>find_contract_line_by_sequence</h2>
<div class="signature">def find_contract_line_by_sequence(contract, line_sequence)</div>
<pre>
Find a contract line within a purchase contract by its sequence number.
Validates the provided contract and attempts to convert the provided
`line_sequence` to an integer. Searches the `lines` iterable on the
contract for a line object whose `sequence` attribute matches the
integer sequence number. Returns the first matching line, or `None` if the
contract is invalid, the sequence cannot be parsed, or no matching line is
found.
Args:
contract (object): A `purchase.purchase` record (or similar) expected
to have a `lines` iterable attribute containing line objects.
line_sequence (int | str): Sequence number to search for. Can be an
integer or a string representation of an integer.
Returns:
object or None: The matching contract line object if found; otherwise
`None`.
Notes:
- Prints a warning when the provided `line_sequence` is invalid or when
no matching line is found.
</pre>
</section>
<section id="find_purchase_contract_by_ref">
<h2>find_purchase_contract_by_ref</h2>
<div class="signature">def find_purchase_contract_by_ref(contract_ref)</div>
<pre>
Find a purchase contract by its reference identifier.
Performs an exact match lookup on the `reference` field of the
`purchase.purchase` model. If the input is empty or no contract is found,
the function prints a warning and returns `None`.
Args:
contract_ref (str): The reference string of the purchase contract.
Leading/trailing whitespace is ignored and empty values return None.
Returns:
object or None: The first matching Tryton `purchase.purchase` record if
found; otherwise `None` when no match exists or the input is invalid.
Notes:
- If multiple matches exist the first record returned by Tryton is used.
- This function prints a warning when no contract is found.
</pre>
</section>
<section id="find_supplier_category">
<h2>find_supplier_category</h2>
<div class="signature">def find_supplier_category()</div>
<pre>
Retrieve the 'SUPPLIER' party category from the system.
First attempts an exact match on the `name` field for 'SUPPLIER'. If an
exact match is not found, the function falls back to iterating all party
categories and returns the first one whose uppercased `name` equals
'SUPPLIER'. If no matching category is found, a warning is printed and
`None` is returned.
Args:
None
Returns:
object or None: The matching `party.category` record if found; otherwise
`None`.
Notes:
- This helper helps ensure that parties can be categorized as suppliers
without relying on exact case-sensitive persistence of the category
name.
</pre>
</section>
<section id="ensure_party_is_supplier">
<h2>ensure_party_is_supplier</h2>
<div class="signature">def ensure_party_is_supplier(party, auto_enable=True)</div>
<pre>
Ensure a party has the SUPPLIER category, optionally adding it.
Checks whether the provided `party` record contains the SUPPLIER
category. If the category is missing and `auto_enable` is True, the
function attempts to append the category to the party and save the
record. On success it returns the updated party and True. If
`auto_enable` is False the function leaves the party unchanged and
returns (party, False), printing guidance for manual action.
Args:
party (object): A `party.party` record expected to have a
`categories` collection attribute.
auto_enable (bool): If True (default) attempt to add the SUPPLIER
category when missing; if False do not modify the party and
prompt the user to add the category manually.
Returns:
tuple: (party, bool) where bool is True if the party has the
SUPPLIER category after the call, otherwise False.
Notes:
- Prints informative messages for missing category, permission
issues, and other exceptions. Use `find_supplier_category()` to
retrieve the category object directly if needed.
</pre>
</section>
<section id="find_fee_mode_by_name">
<h2>find_fee_mode_by_name</h2>
<div class="signature">def find_fee_mode_by_name(mode_name)</div>
<pre>
Map a human-readable fee mode name to the system's internal mode code.
Normalizes the input (trims whitespace and uppercases) and returns a
short code used internally. Known mappings are:
- 'PER QT' -> 'perqt'
- '% COST PRICE' -> 'pcost'
- '% PRICE' -> 'pprice'
- 'LUMP SUM' -> 'lumpsum'
Args:
mode_name (str): Fee mode display name. Leading/trailing whitespace is
ignored and comparison is case-insensitive.
Returns:
str or None: The mapped internal mode string if recognized, otherwise
`None` for unknown or empty inputs.
Notes:
- Prints a warning when an unknown mode is encountered.
</pre>
</section>
<section id="find_payable_receivable_by_name">
<h2>find_payable_receivable_by_name</h2>
<div class="signature">def find_payable_receivable_by_name(p_r_value)</div>
<pre>
Determine whether a fee is payable or receivable from a P_R-style value.
Normalizes the input by trimming whitespace and uppercasing it, then maps
common variants to either 'pay' or 'rec'. Recognised payable values include
'PAY', 'PAYABLE', and 'P'; recognised receivable values include 'REC',
'RECEIVABLE', and 'R'. An empty or falsy input returns `None`. Unknown
values print a warning and default to 'pay'.
Args:
p_r_value (str): Raw value from the P_R column (e.g., 'PAY', 'REC').
Returns:
str or None: 'pay' for payable, 'rec' for receivable, or `None` for
empty/invalid inputs.
Notes:
- Prints a warning when encountering an unrecognised value and
defaults to 'pay' to maintain backward compatibility.
</pre>
</section>
<section id="get_existing_fees_for_line">
<h2>get_existing_fees_for_line</h2>
<div class="signature">def get_existing_fees_for_line(contract_line)</div>
<pre>
Retrieve the existing fees associated with a contract line.
Validates the provided `contract_line` and returns its `fees` collection
if present. If the contract line is missing or does not expose a `fees`
attribute, the function returns an empty list to simplify downstream
duplicate checks and iteration.
Args:
contract_line (object): A contract line object expected to have a
`fees` iterable attribute (may be None or empty).
Returns:
list: The fees associated with the contract line, or an empty list if
none exist or the input is invalid.
</pre>
</section>
<section id="fee_already_exists">
<h2>fee_already_exists</h2>
<div class="signature">def fee_already_exists(existing_fees, product, supplier, price)</div>
<pre>
Check whether a fee with the same product, supplier and price already exists.
Iterates `existing_fees` and compares each fee's `product.id`, `party.id`,
and `price` to the provided `product`, `supplier`, and `price` respectively.
The function performs attribute presence checks to avoid AttributeError and
uses exact equality for price comparison.
Args:
existing_fees (iterable): Iterable of fee objects (may be a list or
None). Each fee is expected to expose `product`, `party`, and
`price` attributes.
product (object): Product record with an `id` attribute.
supplier (object): Supplier/party record with an `id` attribute.
price (Decimal | number): Price value to match against fee.price.
Returns:
bool: True if a matching fee exists; False otherwise.
Notes:
- Exact equality is used for price comparison; consider tolerances when
comparing floating point values.
</pre>
</section>
<section id="parse_decimal">
<h2>parse_decimal</h2>
<div class="signature">def parse_decimal(value, field_name)</div>
<pre>
Parse and validate a numeric value into a Decimal.
Converts `value` to a Decimal using `Decimal(str(value))`. Returns `None`
for empty inputs, common string null markers (e.g. 'NULL', 'NONE', 'N/A'),
or when the value cannot be parsed as a decimal (in which case a warning
is printed referencing `field_name`).
Args:
value (str|int|Decimal|None): The raw value to parse into a Decimal.
field_name (str): Name of the field (used to provide contextual
information in warning messages).
Returns:
Decimal or None: A Decimal instance when parsing succeeds; otherwise
`None` for empty/invalid inputs.
Notes:
- Uses `Decimal(str(value))` to avoid floating-point precision issues.
- Catching `ValueError` and `TypeError` ensures the function is safe to
call on arbitrary input values encountered while importing data.
</pre>
</section>
<footer>
<p>Generated from <code>helpers/tryton_helpers.py</code>.</p>
</footer>
</body>
</html>

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import psycopg2
from proteus import config
# CSV file paths
EMPLOYEE_CSV = 'loaders/employees.csv'
PARTIES_CSV = 'loaders/parties.csv'
CUSTOMER_STOCK_LOCATIONS_CSV = 'loaders/customer_stock_locations.csv'
SUPPLIER_STOCK_LOCATIONS_CSV = 'loaders/supplier_stock_locations.csv'
SERVICES_CSV = 'loaders/services.csv'
VESSELS_CSV = 'loaders/vessels.csv'
PURCHASE_CONTRACTS_CSV = 'loaders/Purchase_Contracts_with_mapping.csv'
PURCHASE_FEES_CSV = 'loaders/purchase_fees.csv'
SALE_CONTRACTS_CSV = 'loaders/Sale_Contracts_with_mapping.csv'
# XML-RPC Configuration (for Proteus interaction)
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database access if needed)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
# Database connection configuration for direct PostgreSQL access
# Used by migration mapper and custom field updates
DB_CONFIG = {
'host': DB_HOST, # Your PostgreSQL host
'port': DB_PORT, # Your PostgreSQL port
'database': DATABASE_NAME, # Your Tryton database name
'user': DB_USER, # Your database user
'password': DB_PASSWORD # Your database password
}
# Function to connect to Tryton via XML-RPC
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Server: {HTTPS}{SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
connection = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return connection
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
raise
def get_db_connection():
"""Get PostgreSQL database connection"""
try:
connection = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
database=DATABASE_NAME,
user=DB_USER,
password=DB_PASSWORD
)
return connection
except Exception as e:
print(f"✗ Database connection failed: {e}")
raise

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Reference Data/python_project/helpers/migration_mapping.py Normal file
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# helpers/migration_mapping.py
from datetime import date
import psycopg2
from psycopg2.extras import execute_values
import logging
logger = logging.getLogger(__name__)
class MigrationMapper:
"""Handle migration mapping records between source system and Tryton"""
def __init__(self, db_config):
"""
Initialize with database configuration
Args:
db_config: dict with keys: host, port, database, user, password
"""
self.db_config = db_config
self.connection = None
def __enter__(self):
"""Context manager entry - establish database connection"""
self.connection = psycopg2.connect(**self.db_config)
return self
def __exit__(self, exc_type, exc_val, exc_tb):
"""Context manager exit - close database connection"""
if self.connection:
if exc_type is None:
self.connection.commit()
else:
self.connection.rollback()
self.connection.close()
def save_mapping(self, object_type, source_id, tryton_model, tryton_id, recon_key):
"""
Save a single migration mapping record
Args:
object_type: Type of object being migrated (e.g., 'sale_contract')
source_id: ID from source system
tryton_model: Tryton model name (e.g., 'sale.sale')
tryton_id: Tryton record ID
recon_key: Reconciliation key for matching (e.g., contract number)
"""
mappings = [{
'object_type': object_type,
'source_id': source_id,
'tryton_model': tryton_model,
'tryton_id': tryton_id,
'recon_key': recon_key
}]
self.save_mappings_batch(mappings)
def save_mappings_batch(self, mappings):
"""
Save multiple migration mapping records in batch
Args:
mappings: List of dicts with keys:
- object_type: Type of object being migrated
- source_id: ID from source system
- tryton_model: Tryton model name
- tryton_id: Tryton record ID
- recon_key: Reconciliation key for matching
"""
if not mappings:
logger.warning("No mappings to save")
return
cursor = self.connection.cursor()
# Prepare data for batch insert
values = [
(
[mapping['object_type']], # Array with single element
[mapping['source_id']], # Array with single element
[mapping['tryton_model']], # Array with single element
mapping['tryton_id'],
[mapping['recon_key']], # Array with single element
date.today()
)
for mapping in mappings
]
try:
# Use execute_values for efficient batch insert
# ON CONFLICT DO NOTHING prevents duplicates
execute_values(
cursor,
"""
INSERT INTO public.os_migration_mapping
(object_type, source_id, tryton_model, tryton_id, recon_key, write_date)
VALUES %s
ON CONFLICT DO NOTHING
""",
values,
template="(%s, %s, %s, %s, %s, %s)"
)
logger.info(f"Saved {len(mappings)} migration mapping records")
except Exception as e:
logger.error(f"Error saving migration mappings: {e}")
raise
finally:
cursor.close()
def get_tryton_id(self, object_type, source_id):
"""
Retrieve Tryton ID for a given source system ID
Args:
object_type: Type of object
source_id: ID from source system
Returns:
int: Tryton ID or None if not found
"""
cursor = self.connection.cursor()
try:
cursor.execute(
"""
SELECT tryton_id
FROM public.os_migration_mapping
WHERE %s = ANY(object_type)
AND %s = ANY(source_id)
ORDER BY write_date DESC
LIMIT 1
""",
(object_type, source_id)
)
result = cursor.fetchone()
return result[0] if result else None
finally:
cursor.close()
def get_source_id(self, object_type, tryton_id):
"""
Retrieve source system ID for a given Tryton ID
Args:
object_type: Type of object
tryton_id: Tryton record ID
Returns:
str: Source ID or None if not found
"""
cursor = self.connection.cursor()
try:
cursor.execute(
"""
SELECT source_id[1]
FROM public.os_migration_mapping
WHERE %s = ANY(object_type)
AND tryton_id = %s
ORDER BY write_date DESC
LIMIT 1
""",
(object_type, tryton_id)
)
result = cursor.fetchone()
return result[0] if result else None
finally:
cursor.close()
def get_mapping_by_recon_key(self, object_type, recon_key):
"""
Retrieve mapping by reconciliation key
Args:
object_type: Type of object
recon_key: Reconciliation key
Returns:
dict: Mapping record or None if not found
"""
cursor = self.connection.cursor()
try:
cursor.execute(
"""
SELECT
object_type[1] as object_type,
source_id[1] as source_id,
tryton_model[1] as tryton_model,
tryton_id,
recon_key[1] as recon_key,
write_date
FROM public.os_migration_mapping
WHERE %s = ANY(object_type)
AND %s = ANY(recon_key)
ORDER BY write_date DESC
LIMIT 1
""",
(object_type, recon_key)
)
result = cursor.fetchone()
if result:
return {
'object_type': result[0],
'source_id': result[1],
'tryton_model': result[2],
'tryton_id': result[3],
'recon_key': result[4],
'write_date': result[5]
}
return None
finally:
cursor.close()
def delete_mappings_by_source(self, object_type, source_ids):
"""
Delete mappings by source IDs (useful for re-import)
Args:
object_type: Type of object
source_ids: List of source IDs to delete
Returns:
int: Number of records deleted
"""
if not source_ids:
return 0
cursor = self.connection.cursor()
try:
# Delete records where source_id matches any in the list
cursor.execute(
"""
DELETE FROM public.os_migration_mapping
WHERE %s = ANY(object_type)
AND source_id[1] = ANY(%s)
""",
(object_type, source_ids)
)
deleted_count = cursor.rowcount
logger.info(f"Deleted {deleted_count} migration mapping records")
return deleted_count
finally:
cursor.close()
def get_all_mappings(self, object_type=None):
"""
Retrieve all mappings, optionally filtered by object type
Args:
object_type: Optional object type filter
Returns:
list: List of mapping dicts
"""
cursor = self.connection.cursor()
try:
if object_type:
cursor.execute(
"""
SELECT
object_type[1] as object_type,
source_id[1] as source_id,
tryton_model[1] as tryton_model,
tryton_id,
recon_key[1] as recon_key,
write_date
FROM public.os_migration_mapping
WHERE %s = ANY(object_type)
ORDER BY write_date DESC
""",
(object_type,)
)
else:
cursor.execute(
"""
SELECT
object_type[1] as object_type,
source_id[1] as source_id,
tryton_model[1] as tryton_model,
tryton_id,
recon_key[1] as recon_key,
write_date
FROM public.os_migration_mapping
ORDER BY write_date DESC
"""
)
results = cursor.fetchall()
return [
{
'object_type': row[0],
'source_id': row[1],
'tryton_model': row[2],
'tryton_id': row[3],
'recon_key': row[4],
'write_date': row[5]
}
for row in results
]
finally:
cursor.close()
# Simplified standalone function for quick integration
def save_migration_mapping(db_config, object_type, source_id, tryton_model,
tryton_id, recon_key):
"""
Standalone function to save a single migration mapping
Args:
db_config: dict with database connection parameters
object_type: Type of object being migrated
source_id: ID from source system
tryton_model: Tryton model name
tryton_id: Tryton record ID
recon_key: Reconciliation key for matching
"""
with MigrationMapper(db_config) as mapper:
mapper.save_mapping(object_type, source_id, tryton_model, tryton_id, recon_key)

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43
Reference Data/python_project/loaders/Customer_Stock_Locations.csv Normal file
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@@ -0,0 +1,43 @@
name,type,lat,lon
Adelaide,customer,0,0
BAHODOPI-POSO,customer,0,0
Bandirma,customer,40.369697136983,27.9607200622559
Bangkok,customer,13.75398,100.50144
Barquito,customer,-26.35,-70.65
Beaumont,customer,30.077338673234,-94.0840816497804
Budge Budge,customer,22.47514,88.17767
Fangcheng,customer,21.6140258994842,108.322792053223
Gladstone,customer,-23.81603,151.26279
Go Dau,customer,15.9742225,105.806431
Gresik,customer,-7.14994933032079,112.60986328125
Hai Phong,customer,20.86774,106.69179
Hibi,customer,34.39572,133.78713
Huelva,customer,37.26638,-6.94004
Isabel,customer,6.70748678037316,121.965022087097
Japan,customer,37.3002752813444,138.515625
Jorf Lasfar,customer,-18.7771925,46.854328
Kakinada,customer,16.9957254352666,82.4434661865236
Kandla,customer,22.80078,69.70705
Kemaman,customer,4.23333,103.45
LHOKSEUMAWE,customer,0,0
Limas,customer,40.7389332411361,29.6246337890626
Map Ta Phut,customer,12.648713210033,101.143569946289
Mejillones,customer,-22.8215665806022,-70.5869030289666
Naoshima,customer,34.4612772884371,134.009170532227
New Mangalore,customer,0,0
New Orleans,customer,29.95465,-90.07507
Onahama,customer,36.9268411923102,140.907897949219
Onsan,customer,35.4601106672107,129.37671661377
Paradip,customer,20.2644516477765,86.7077064514162
Pori,customer,61.6450645681561,21.3828277587891
Port Hedland,customer,0,0
Ras Al Khair,customer,0,0
Rio Grande,customer,-32.082574559546,-52.0916748046876
Saganoseki,customer,33.2411282959313,131.885418891907
Samut Prakan,customer,13.5051524908849,100.599746704102
San Juan,customer,18.46633,-66.10572
Stockton,customer,37.9527255601159,-121.316356658936
Tampa,customer,27.897652653541,-82.4285316467287
Tema,customer,-0.828097,11.598909
Tuticorin,customer,8.75436,78.20429
Visakhapatnam,customer,17.4764321971955,83.5180664062501
1 name type lat lon
2 Adelaide customer 0 0
3 BAHODOPI-POSO customer 0 0
4 Bandirma customer 40.369697136983 27.9607200622559
5 Bangkok customer 13.75398 100.50144
6 Barquito customer -26.35 -70.65
7 Beaumont customer 30.077338673234 -94.0840816497804
8 Budge Budge customer 22.47514 88.17767
9 Fangcheng customer 21.6140258994842 108.322792053223
10 Gladstone customer -23.81603 151.26279
11 Go Dau customer 15.9742225 105.806431
12 Gresik customer -7.14994933032079 112.60986328125
13 Hai Phong customer 20.86774 106.69179
14 Hibi customer 34.39572 133.78713
15 Huelva customer 37.26638 -6.94004
16 Isabel customer 6.70748678037316 121.965022087097
17 Japan customer 37.3002752813444 138.515625
18 Jorf Lasfar customer -18.7771925 46.854328
19 Kakinada customer 16.9957254352666 82.4434661865236
20 Kandla customer 22.80078 69.70705
21 Kemaman customer 4.23333 103.45
22 LHOKSEUMAWE customer 0 0
23 Limas customer 40.7389332411361 29.6246337890626
24 Map Ta Phut customer 12.648713210033 101.143569946289
25 Mejillones customer -22.8215665806022 -70.5869030289666
26 Naoshima customer 34.4612772884371 134.009170532227
27 New Mangalore customer 0 0
28 New Orleans customer 29.95465 -90.07507
29 Onahama customer 36.9268411923102 140.907897949219
30 Onsan customer 35.4601106672107 129.37671661377
31 Paradip customer 20.2644516477765 86.7077064514162
32 Pori customer 61.6450645681561 21.3828277587891
33 Port Hedland customer 0 0
34 Ras Al Khair customer 0 0
35 Rio Grande customer -32.082574559546 -52.0916748046876
36 Saganoseki customer 33.2411282959313 131.885418891907
37 Samut Prakan customer 13.5051524908849 100.599746704102
38 San Juan customer 18.46633 -66.10572
39 Stockton customer 37.9527255601159 -121.316356658936
40 Tampa customer 27.897652653541 -82.4285316467287
41 Tema customer -0.828097 11.598909
42 Tuticorin customer 8.75436 78.20429
43 Visakhapatnam customer 17.4764321971955 83.5180664062501

17
Reference Data/python_project/loaders/Employees.csv Normal file
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@@ -0,0 +1,17 @@
name,code
Laura Girardot,EMP1
Jean-Francois Muse,EMP2
ShiHan Tay,EMP3
Max Baiwir,EMP4
Rodrigue Thomas,EMP5
Angela Arbenz,EMP6
Javier Miraba,EMP7
Stephane Monnard,EMP8
Oliver Gysler,EMP9
Mario Isely,EMP10
Gregory Gondeau,EMP11
Sylviane Dubuis,EMP12
Steve Zaccarini,EMP13
Smult Kouane,EMP14
David Susanto,EMP15
Jeremie Collot,EMP16
1 name code
2 Laura Girardot EMP1
3 Jean-Francois Muse EMP2
4 ShiHan Tay EMP3
5 Max Baiwir EMP4
6 Rodrigue Thomas EMP5
7 Angela Arbenz EMP6
8 Javier Miraba EMP7
9 Stephane Monnard EMP8
10 Oliver Gysler EMP9
11 Mario Isely EMP10
12 Gregory Gondeau EMP11
13 Sylviane Dubuis EMP12
14 Steve Zaccarini EMP13
15 Smult Kouane EMP14
16 David Susanto EMP15
17 Jeremie Collot EMP16

372
Reference Data/python_project/loaders/Parties.csv Normal file
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@@ -0,0 +1,372 @@
name,tax_identifier,vat_code,address_name,street,city,zip,country_code,subdivision_code
"HEUNG-A SHIPPING CO., LTD.",,,,"3F, HEUNG-A BLDG, 21, SAEMAL-RO 5-GIL, SONGPA-GU",Seoul,0,KR,
SUMITOMO CORPORATION TOKYO,,,,"INORGANIC CHEMICALS TEAM, INORGANIC AND PERFORMANCE CHEMICALS DEPT. 3-2, OTEMACHI 2-CHROME, CHIYODA-KU",Tokyo,100-8601,JP,
TRANSAMMONIA AG,,,,"PRIME TOWER, HARDSTRASSE 201, 8005 ZURICH, SWITZERLAND",Zurich,8005,CH,
AMEROPA,,,,"ONE TEMASEK AVENUE, MILLENIA TOWER HEX 31-02",Singapore,039192,SG,
NISSHIN SHIPPING CO. LTD,,,,,Monaco,0,MC,
KORINDO PELAYARAN PT,,,,"12th Floor, Wisma Korindo, Jalan Letjen MT Haryono 62, Kel Pancoran",Jakarta,NULL,ID,
PARANAPANEMA S/A (C),,,,"VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA, BAHIA, BRAZIL",Bahia,CEP 42850-00,BR,
AZTEC MARINE LTD,,,,,Monaco,NULL,MC,
MALAYSIAN PHOSPHATE ADDITIVES SB.,,,,"SUITE 609, LEVEL 6, BLOCK F, PHILEO DAMANSARA 1, N° 9, JALAN 16/11, 46350 PETALING JAYA, SELANGOR DE",Petaling Jaya,46350,MY,
BSI INSPEC. SPAIN (BUREAU VERITAS),,,,,Monaco,NULL,MC,
MH PROGRESS LINE S.A.,,,,,Monaco,0,MC,
NAVIERA PETRAL SA,,,,"Oficina 102, Calle Alcanflores 393, Miraflores",Lima,15074,PE,
NAVIG8 LIMITED,,,,,Monaco,0,MC,
INTEROCEANIC (C),,,,7 RENAISSANCE SQUARE 7TH FLOOR,New York,10601,US,
LYNX SHIPPING PTE. LTD,,,,"16 Raffles Quay #41-02, Hong Leong Building, Singapore ",,048581,SG,
ABO SINGAPORE PTE LTD,,,,,Monaco,0,MC,
FERTIPAR FERTILIZANTES,,,,"RUA COMENDADOR CORREA JUNIOR, 1178, BAIRRO 29 DE JULHO, CEP 83.203-762 PARANAGUA, PR BRASIL",Paranagua,CEP 83.203-762,BR,
NATIONAL CHEMICAL CARRIERS LTD,,,,,Monaco,0,MC,
BALLANCE AGRI-NUTRIENTS,,,,"HEWLETT'S ROAD, MOUNT MAUNGANUI, NEW ZEALAND",Mount Maunganui,NULL,NZ,
JX OCEAN CO. LTD,,,,"THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU",Yokohama,220-8148,JP,
SUKSES OSEAN KHATULISTIWA LINE,,,,"Blok J, Jalan Mangga Dua Dalam 5&8, Jakarta Pusat",Jakarta,10730,ID,
PARADEEP PHOSPHATES LIMITED,,,,"BAYAN BHAWAN, PANDIT J. N. MARG, BHUBANESWAR 751001, ORISSA, INDIA",Orissa,751001,IN,
NEW EAGLE SHIPPING S.A.,,,,,Monaco,0,MC,
KGHM POLSKA MIEDZ S.A.,,,,"UL. M. SKLODOWSKIEJ-CURIE 48, 59-301 LUBIN, POLAND",Lubin,59-301,PL,
SUMITOMO CORPORATION - TOHO,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
INTERTEK CALEB BRETT INDIA,,,,,Monaco,0,MC,
PTT ASAHI CHEMICAL CO. LTD.,,,,"8 PHANGMUANG CHAPOH 3-1 ROAD, HUAYPONG SUB-DISTRICT, MUANG DISTRICT, RAYONG 21150, THAILAND",Rayong,21150,TH,
NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO. LTD.,,,,"NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO., LTD, Shuanglong road in Nanjing city of Jiangning Development Zone No 1700, 7th floor, A block, P.R. China China. ",,NULL,CN,
BOLIDEN HARJAVALTA OY,,,,TEOLLISUUSKATU 1,Harjavalta,29200,FI,
TEAM TANKERS INTERNATIONAL LTD.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION INDONESIA (SSRI),,,,Jl. Jend. Sudirman Kav. 61-62,Jakarta,12190,ID,
P&F MARINE CO LTD,,,,,Monaco,0,MC,
LA POSTE,,,,"WANKDORFALLEE 4, 3030 BERNE, SWITZERLAND",Bern,3030,CH,
AURUBIS AG,,,,HOVESTRASSE 50,Hamburg,20539,DE,
ERSHIP SAU,,,,CALLE MARINA 26,Huelva,21001,ES,
"KAWASAKI KISEN KAISHA, LTD.",,,,,Monaco,0,MC,
SUMITOMO CORPORATION - MMC,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
UBE CHEMICALS ASIA PCL (Ex TCL),,,,"18TH FLOOR, SATHORN SQUARE OFFICE TOWER, N° 98 NORTH SATHORN ROAD, SILON SUB-DISTRICT, BANGKOK 10500, THAILAND",Bangkok,10500,TH,
KOREA ZINC COMPANY LTD,,,,"ONSAN COMPLEX, 505 DAEJONG-RI, ONSAN-EUP, ULJU-GUN ULSAN, KOREA",Ulsan,NULL,KR,
MTM TRADING LLC OF MARSHALL ISLANDS,,,,"2960 POST ROAD, CU",Southport,06890,US,
"HOPECHEM CO., LTD (S)",,,,"ROOM 302, NO.233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT,",Shenzhen,518114,CN,
CS MARINE CO LTD,,,,,Monaco,0,MC,
"HAFNIA POOLS PTE LTD ",,,,"18-01, MapleTree Business City, 10, Pasir Panjang Road, Singapore 117438",,117438,SG,
SAEHAN MARINE CO LTD. (ULSAN),,,,"502, KYONG DONG E&S #304 JANGSENGPO-DONG, NAM-KU, ULSAN 44780, KOREA",Ulsan,44780,KR,
CIBRAFERTIL COMP. BRASILIERA DE FERTILIZANTES,,,,"#19-01 SUNTEC TOWER THREE,",Camacari,42810-290,BR,
FAIRFIELD CHEMICAL CARRIERS BV,,,,"8 TEMASEK BOULEVARD, #19-01 SUNTEC TOWER THREE,",Singapore,038988,SG,
"ASHAPURA PERFOCLAY LTS. ",,,,"JEEVAN ADYOG BUILDING, 3RD FLOOR, 278 D. N. ROAD, FORT, MUMBAI 400 001",Mumbai,400 001,IN,
TATA CHEMICALS LIMITED,,,,"DURGACHAK, HALDIA, WEST BENGAL 721 602, INDIA",West Bengal,721 602,IN,
DOE RUN PERU S.R.L.,,,,"#14-04 SOUTHPOINT,",Lima,27,PE,
INTEROCEANIC (S),,,,7 RENAISSANCE SQUARE 7TH FLOOR,New York,10601,US,
"SAEHAN MARINE CO., LTD",,,,,Monaco,NULL,MC,
MAROC-PHOSPHORE S.A.,,,,"2, RUE AL ABTAL, HAY ERRAHA, 20200 CASABLANCA, MOROCCO",Casablanca,20200,MA,
ACE SULFERT (LIANYUNGANG) CO. LTD,,,,,Monaco,NULL,MC,
INCHCAPE SHIPPING SERVICES,,,,,Monaco,0,MC,
AONO MARINE CO LTD,,,,"1-1-17, SHINDEN-CHO",Niihama,792-0003,JP,
BANDIRMA GÜBRE FABRIKALARI A.S. (S),,,,SUSAM SOK. NO:22,Cihangir-Istanbul,34433,TR,
HEXAGON GROUP AG,,,,Bleicherweg 33,Zurich,8002,CH,
INNOPHOS,,,,"DOMICILIO CONOCIDO SN, S.T., PAJARITOS, CP 96384, COATZACOALCOS, VER. MEXICO",Coatzacoalcos,CP 96384,MX,
TODA KISEN KK,,,,,,NULL,MC,
FARMHANNONG,,,,"#523 Maeam-dong Nam-ku, Ulsan 680-050 South Korea",Ulsan,680-050,KR,
"AGROINDUSTRIAS DEL BALSAS ",,,,"ISLA DE EN MEDIO SIN NUMERO, INTERIOR RECINTO PORTUARIO, LAZARO CARDENAS, MICH. MEXICO",Mexico City,NULL,MX,
"A.R. SULPHONATES PVT. LIMITED ",,,,"21, PRINCEP STREET, KOLKATA 700072, INDIA",Kolkata,700072,IN,
WINA TECHNOLOGIES,,,,"9 KOFI PORTUPHY STREET, WESTLANDS, WEST LEGON, ACCRA, GHANA",Accra,0,GH,
ARTHUR J. GALLAGHER (UK) LTD,,,,,Monaco,NULL,MC,
STOLT TANKERS B.V.,,,,"460 ALEXANDRA ROAD, # 10-01 PSA BUILDING",Singapore,119963,SG,
SAS International LLC,,,,"26865 Interstate 45 South - Suite 200 The Woodlands,",,TX 77380,US,
TUFTON OCEANIC LTD.,,,,,Monaco,0,MC,
"D3 CHEMIE ",,,,,Monaco,NULL,MC,
Interacid Trading SA (accounting),,,,En Budron H14,Le Mont-sur-Lausanne,CH-1052,CH,
"SHANGHAI DINGHENG SHIPPING CO.,LTD.",,,,,Monaco,0,MC,
MCC RAMU NICO LTD,,,,"PO BOX 1229, MADANG SECTION 95, LOT 18-19, MODILON RD PAPUA, NEW GUINEA",Modilon RD Papua,0,PG,
FERTIMAC,,,,"AV. PLINIO BRASIL MILANO, 289 CONJ. 301, PORTO ALEGRE - RS - BRASIL, CNPJ : 92194026/0001-36",Porto Alegre,0,BR,
THE PHOSPHATE CO. LTD. .,,,,"14, NETAJI SUBHAS ROAD, KOLKATA 700001, INDIA",Kolkata,700001,IN,
CORP. NACIONAL DEL COBRE,,,,HUÉRFANOS 1270,Santiago,8320000,CL,
"KIMYA MARKET SANAYI.TIC.LTD.STI. ",,,,600 Evler Mah.Balıkesir Asfaltı Sağ Taraf No:72 BANDIRMA BALIKESIR Bandırma Tax Office,Bandirma,NULL,TR,
Marsh / Navigators Insurance Company,,,,1 Penn PLZ FL 55,New York,10119-5500,US,
DE POLI TANKERS BV,,,,TRONDHEIM 20,Barendrecht,2993LE,NL,
"SUNWOO SHIPPING CO., LTD.",,,,"KEB HANA BANK, MAPO-YEOK BRANCH 041-68 52, MAPO-DAERO, MAPO-GU, SEOUL, SOUTH KOREA ACCOUNT NO. 176-910020-20638 SWIFT : KOEXKRSE IN FAVOUR OF SUNWOO SHIPPING CO., LTD. ",Seoul,NULL,KR,
NYRSTAR PORT PIRIE PTY LTD.,,,,HOOFDSTRAAT 1,DORPLEIN,6024 AA BUDEL,NL,
INSPECTORATE (SUISSE) SA,,,,,Monaco,0,MC,
GANSU YONGQI INDUSTRY AND TRADE. CO. (C),,,,"NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, JINCHANG CITY, GANSU PROVINCE, CHINA",Gansu Province,0,CN,
"ASOCIACION DE COOPERATIVAS ARGENTINAS COOP. ",,,,"AV. EDUARDO MADERO 942, 4° - 5° - 6° - 7° PISO/FLOOR, (1106) BUENOS AIRES - ARGENTINA, C.U.I.T. 30-50012088-2",Buenos Aires,1106,AR,
DM SHIPPING CO LTD,,,,,Monaco,0,MC,
SUMITOMO CORPORATION - PPC,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
FILHET - ALLARD MARITIME,,,,,Monaco,0,MC,
IPSL / PEQUIVEN,,,,,Monaco,0,MC,
VENUS SHIPPING CO LTD,,,,"1830, Lotte Gold Rose2Cha 890-59 Daechi 4-sa-dong Gangnam-gu",Seoul,NULL,KR,
"TOHO ZINC CO., LTD.",,,,"8-2,MARUNOUCHI 1-CHOME,CHIYODA-KU,",Tokyo,100-8207,JP,
"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",,,,"8F., NO 88, SEC. 2, NANJING E. RD, ZHONGSHAN DIST., ",Taipei,10457,TW,
INDEVCO TRADING,,,,"35 AMBER ROAD #09-14, THE SEA VIEW, SINGAPORE 439945",Singapore,439945,SG,
"GREATHORSE INTERNATIONAL SHIP MANAGEMENT CO., LTD.",,,,,Monaco,0,MC,
JINCHUAN,,,,"JINCHUAN INDUSTRIAL PARK, QISHA INDUSTRIAL ZONE, GANGKOU DISTRICT, FANGCHENGGANG CITY GUANGXI PROVINCE",Fangchenggang City,538002,CN,
MC FOR LLC,,,," Room 4, Premise 8N, prospekt Nevskiy 20A, St Petersburg, 191186, Russia.",Saint Petersburg,191186,RU,
GRUPO MEXICO,,,,"EDIFICIO PARQUE REFORMA CAMPOS ELISEOS NO. 400, LOMAS DE CHAPULTEPEC",Mexico City,11000,MX,
UBS SWITZERLAND AG,,,,Rue des Noirettes 35 PO Box 2600,Geneva,1211,CH,
WLR/TRF SHIPPING LTD.,,,,,Monaco,0,MC,
TRANSMARINE NAVIGATION CORPORATION,,,,2321 W WASHINGTON ST # K,Stockton,95203,US,
NATIONAL CHEMICAL CARRIERS LTD. CO.,,,,"9/F, ONE JLT, JUMEIRAH LAKE TOWERS",Dubai,,AE,
SORIN CORPORATION,,,,"YOUNG-POONG BLDG, 542, GANGNAM-DAERO, GANGNAM-GU",Seoul,06110,KR,
"JX METALS SMELTING CO.,LTD.",,,,"1-2 OHTEMACHI 1-CHOME, CHIYODA-KU,",Tokyo,100-0004,JP,
CHENGTAI GROUP PTE LTD,,,,TBD,,NULL,CN,
FERFERMEX S.A.,,,,"PREDIO ENCINO GORDO S/N, C.P. 96340",Veracruz,96340,MX,
"SHOKUYU NAVIGATION CO.,SA",,,,,,NULL,MA,
BERLIAN LAJU TANKER TBK PT,,,,"Jalan Abdul Mu'is 40, Kec Gambir",Jakarta,10160,ID,
"INTERACID NORTH AMERICA, INC (Stockton)",,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
META NICKEL,,,,"CEYHUN ATIF KANSU CADDESI 114 BAYRAKTAR CENTER, D BLOK 1. KAT DAIRE NO: 1-",Ankara,2,TR,
OTAMAY SHIPPING INC.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
NEW WAY VYAPAAR PVT LTD,,,,"249/B, G.T. ROAD (NORTH), LILUAH, FIRST FLOOR, ROOM N° 17, HOWRAH 711 204, WB INDIA",Howrah,711 204,IN,
SGS NORTH AMERICA INC.,,,,,Tampa,NULL,US,
KOYO KAIUN ASIA PTE. LTD,,,,,Monaco,0,MC,
KUTCH CHEMICAL INDUSTRIES LTD,,,,"20-21, SARA NIWAS, HARI NAGAR, GOTRI ROAD, GUJARAT",Vadodara,390 007,IN,
FAIRFIELD CHEMICAL CARRIERS INC,,,,"21 RIVER ROAD,2ND FLOOR, CU",Wilton,06897,US,
EGRAIN AG,,,,HESSENSTRASSE 18,Hofheim,65719,DE,
CHEMBULK OCEAN TRANSPORT LLC,,,,"THE DELAMAR 175 RENNELL DRIVE , CU",Southport,06890,US,
FEFERMEX SA DE CV,,,,"PREDIO ENCINO GORDO S/N, COSOLEACAQUE, VERACRUZ, CP 96340, MEXICO",Veracruz,CP 96340,MX,
SOUTHERN PERU COPPER CORP,,,,"AVENIDA, CAMINOS DEL LNCA 171, CHACARILLA DEL ESTANQUE, SURCO",Lima,33,PE,
K.N.D. LINE S.A.,,,,,Monaco,0,MC,
JUPITER DYECHEM PVT LTD.,,,,"MITTAL COURT, A WING, OFFICE N° 92 & 93, 9TH FLOOR, NARIMAN POINT, MUMBAI 400 021, BRANCH OFFICE 138/2 VANMALA COMPOUND, VALEGAON, KHANDAGALE ESTATE, PURNA, BHIWANDI, DISTRICT THANE",Mumbai,400-021,IN,
TIMAC AGRO INDUSTRIA BRASIL,,,,"AV. ALMIRANTE MAXIMIANO FONSECA 1550 KM 02, DIST. INDUSTRIAL 96204-040, RIO GRANDE, RS, BRASIL",Rio Grande,96204-040,BR,
SATCO SULPHURIC ACID,,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
YAOKI SHIPPING S.A.,,,,,,NULL,MC,
"HOPECHEM CO., LTD. (AGENT)",,,,"ROOM 302, N° 233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, SHENZHEN, P. R. CHINA 518114",Shenzhen,518114,CN,
CONS. DOMINICAN REPUBLIC,,,,,Monaco,NULL,MC,
BUNGE ARGENTINA S.A.,,,,"25 DE MAYO 501, 4TH FLOOR, C1002ABK BUENOS AIRES, ARGENTINA",Buenos Aires,C1002ABK,AR,
PISCES LINE SHIPPING S.A.,,,,,Monaco,0,MC,
TONGLING NONFERROUS METALS GROUP CO. LTD,,,,"Room 308, 3rd Floor, Nonferrous Courtyard Business Building, Changjiang West Road, Tongling, Anhui Province",Tongling,24400,CN,
NAVQUIM SHIP MANAGEMENT,,,," 10th Floor, Tower C, Weena 242,",Rotterdam,3012 NJ,NL,
ETI BAKIR A.S.,,,,"ALTUNIZADE, KISIKLI CD. NO:37",Üsküdar-Istanbul,34662,TR,
NEW SEAGULL SHIPPING S.A.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD - SUNTAI,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
"Asahi Tanker Co.,Ltd",,,,"Hibiya-Daibiru 3F 2-2, Uchisaiwaicho 1-Chome, Chiyoda-Ku",Tokyo,100-0011,JP,
SGS ITALIA S.R.L.,,,,,Monaco,0,MC,
"TATSUMI MARINE CO., LTD",,,,"TATSUMI BLDG. 3RD FLOOR 3-8-7, ITABASHI, CHIYODA-KU, TOYKO 102-0072",Tokyo,102-0072,JP,
S5 ASIA LIMITED (THAILAND),,,,"21ST FLOOR, TIMES SQUARE BUILDING, 246 SUKHUMVIT ROAD, KLONGTOEY",Bangkok,10110,TH,
OCEAN STAR,,,,,Monaco,0,MC,
HICRI ERCILI DENIZCILIK AS,,,,"Balikesir Asfalti Sag Taraf Caddesi, 72, 600 Evler Mah",Bandirma,10200,TR,
SUMITOMO CORPORATION ASIA,,,,"KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297",Kuala Lumpur,50710,MY,
YARA SWITZERLAND,,,,"ROUTE DU FLORISSANT 13, 1206 GENEVA, SWITZERLAND",Geneva,1206,CH,
NEW GLORY SHIPPING S.A.,,,,,Monaco,0,MC,
UNI-TANKERS A/S,,,,Turbinevej 10,Middelfart,5500,DK,
SACONIX LLC,,,,"560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA",Rosswell,GA 30075,US,
"PAN PACIFIC COPPER CO., LTD.",,,,"1-2 OHTEMACHI 1-CHOME, CHIYODA-KU,",Tokyo,100-8147,JP,
ZODIAC MARITIME LIMITED OF LONDON,,,,"PORTMAN HOUSE, 2 PORTMAN STREET",London,W1H 6DU,GB,
UTKILEN A.S.,,,,,Monaco,0,MC,
ULTRATANK,,,,,Monaco,0,MC,
"TIANJIN JIAHENGYUAN INTL TRADE CO.,LTD",,,,Monaco,,NULL,CN,
DUKSAN P&V CO LTD,,,,"2nd Floor, Dongailbo Building, 87, Jungang-daero, Jung-gu",Busan,48929,KR,
GOLDEN MERCURY MARITIME S.A.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION THAILAND LTD.,,,,"20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN",Bangkok,10330,TH,
SUMITOMO CORPORATION INDIA PVT LTD,,,,"OFFICE N° 1, UNIT B, 5TH FLOOR S-14, SOLITAIRE CORPORATE PARK 167, GURU HARGOBINDJI ROAD, CHAKALA, ANDHERI (EAST)",Mumbai,400 093,IN,
YOUNG POONG CORPORATION,,,,"555, SUKPO-RI, SUKPO-MYUN, BONGHWA-GUN",Kyoungbuk,0,KR,
BTS TANKERS PTE LTD,,,,,Monaco,0,MC,
STELLA TANKER PTE LTD,,,,10 ANSON ROAD # 23-03,Singapore,079903,SG,
GOLDEN DREAM MARITIME SA,,,,,Monaco,0,MC,
JAL KUMUD SHIPPING IFSC PVT,,,,"Unit GA-20, Ground Floor, Pragya Accelerator Savvy Ats Group, Gift City, Gandhinagar,",Gujarat,382355,IN,
MANGALORE CHEMICALS,,,,"UB TOWER, LEVEL 11, UB CITY, 24, VITTAL MALLYA ROAD, BENGALURU 560 001, INDIA",Bengaluru,560 001,IN,
TATSUMI SHOKAI CO. LTD (ONAHAMA),,,,"312, ONAHAMA AZATAKAYAMA",Iwaki City,0,JP,
CHEMSEA SHIPPING COMPANY LIMITED,,,,Rm 1510 Wing Tuck CommCtr 177-183 Wing Lok St Hong Kong,,NULL,HK,
JEIL INTL CO LTD,,,,"RM 301, 3F SAMJUNG ENTERPRISE B/D, 5, JUNGANG-DAERO 775 BEON-GIL, BUNSANJIN-GU",Busan,0,KR,
GLENCORE INTERNATIONAL AG,,,,"BAARERMATTSTRASSE 3, P.O. BOX 1363, 6341 BAAR, SWITZERLAND",Baar,6341,CH,
MOL NORDIC TANKERS A/S,,,,,Monaco,0,MC,
ESSEX SHIPPING,,,,"JUBILEE HOUSE, 3 THE DRIVE, GREAT WARLEY, BRENTWOOD ESSEX",Brentwood,CM13 3FR,GB,
BANDIRMA GÜBRE FABRIKALARI A.S (C ),,,,SUSAM SOK. NO:22,Cihangir-Istanbul,34433,TR,
SGS SWITZERLAND SA,,,,,Monaco,0,MC,
"TOROS AGRI INDUSTRY AND TRADE CO., INC. (S)",,,,"TEKFEN TOWER,4. LEVENT",Istanbul,34394,TR,
"WOOJIN SHIPPING CO.,LTD",,,,"KUNSHIN BLDG.NEW BLDGO #501, 16, SAMGAE-RO (250-4,DOHWA-DONG) MAPO-GU",Seoul,0,KR,
TRF SHIP MANAGEMENT AS,,,,,Monaco,0,MC,
AMERICAS EXPORT CORP.,,,,"P.O. BOX 3067, WEST PALM BEACH, FL 33402, FLORIDA, UNITED STATES",West Palm Beach,FL 33402,US,
QUANG BINH IMPORT AND EXPORT JOINT STOCK,,,,"N° 23, BLOCK 01, AREA 97 BACH DANG, HA LY, HONG BANG DISTRICT, HAI PHONG CITY, VIETNAM",Hai Phong,0,VN,
GROUPE CHIMIQUE TUNISIEN,,,,"7, RUE DU ROYAUME D'ARABIE-SAOUDITE, 1002 TUNIS BELVEDERE, TUNISIA",Tunis Belvedere,1002,TN,
PARANAPANEMA S/A. (S),,,,"VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA",Bahia,CEP 42850-00,BR,
NYRSTAR SALES & MARKETING AG,,,,TESSINERPLATZ 7,Zurich,8002,CH,
IPRUDENTIAL SHIPPING AGENCY SERVICES INC,,,,"4TH FLOOR, KALAYAAN BLDG, SALCEDO CORNER DELA ROSA ST., LEGASPI VILLAGE, MAKATI VILLAGE, PHILIPPINES 1229",Makati Village,1229,PH,
DAEHO SHIPPING CO LTD,,,,"Room 203(woolim bldg) 19, Daepyeong-ro 28beon-gil, Yeongdo-gu, Busan, Korea",,NULL,KR,
SIETEMAR SA,,,,,Monaco,0,MC,
WALLEM,,,,,Monaco,0,MC,
BACONCO J-V COMPANY,,,,,Monaco,NULL,MC,
"CORAL BAY NICKEL CORP. ",,,,"RIO TUBA EXPORT PROCESSING, ZONE RIO TUBA, BATARAZA, PALAWAN, PHILIPPINES 5306, TIN 005-961-540-00000",Palawan,5306,PH,
ROSSING URANIUM,,,,"PRIVATE BAG 5005, SWAKOPMUNG, NAMIBIA",Swakopmung,0,NA,
INCITEC LTD,,,,"LEVEL 8, 28 SOUTHBANK BOULEVARD, SOUTHBANK, VICTORIA 3006, AUSTRALIA",Victoria,3006,AU,
TBD Supplier,,,,TBD,Monaco,TBD,MC,
SATCO - Tampa Terminal,,,,,Tampa,NULL,US,
NORFALCO LLC,,,,"100 KING STREET WEST, SUITE 6900, PO BOX 403, TORONTO, ON",Toronto,M5X 1E3,CA,
INDIAN FARMERS FERTILIZER COOPERATIVE LTD,,,,"PARADEEP UNIT, VILLAGE MUSADIA, P. O. PARADEEP, JAGATSINGHPUR, ORISSA - 754142, INDIA, GST N° 21AAAAI0050M2Z6",Orissa,754142,IN,
SUMITOMO CORPORATION AFRICA (GHANA),,,,"SILVER STAR TOWER, 8TH FLOOR, AIRPORT CITY, 8TH FLOOR",Accra,0,GH,
SUMITOMO CORPORATION THAILAND,,,,"20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN",Bangkok,10330,TH,
ORION REEDEREI GMBH & CO KG,,,,,Monaco,0,MC,
SOCIEDAD CONTRACTUAL EL ABRA,,,,"CAMINO CONCHI VIEJO S/N, KM 75, CALAMA, CHILE",Calama,0,CL,
POLYSERVE,,,,"22 SYRIA ST., MOHANDESIEEN,",Giza,0,EG,
MT MARITIME MANAGEMENT USA LLC,,,,,Monaco,0,MC,
SUN METALS CORPORATION PTY LTD,,,,1 ZINC AVENUE STUART QLD,STUART,4811,AU,
"SINOTRANS DONGWAN WAREHOUSE LOGISTICS CO.,LTD.",,,,"ZHONGHUA RD, GANGKOU DISTRICT, FANGCHENGGANG",Guangxi,0,CN,
INTERNATIONAL COBALT CO,,,,"P.O. BOX N° 7539, E. BAY STREET, NASSAU, BAHAMAS",Nassau,0,BS,
GULF AGENCY COMPANY LIMITED,,,,,Monaco,0,MC,
NIPPON MARINE CO. LTD,,,,,Monaco,0,MC,
"Interacid Trading Chile ",,,,"Av. Isidora Goyenechea 3600, Of. 301",Santiago,NULL,CL,
DORVAL SC TANKERS INC.,,,,"3RD FL KDX MONZENNAKACHO BLDG, 1-14-1, BOTAN, KOTO-KU",Tokyo,NULL,JP,
Interacid Trading SA,,,,Av. des Baumettes 5,Renens,1020,CH,
BHP BILLITON,,,,"CERRO EL PLOMO 6000, 18TH FLOOR, LAS CONDES, SANTIAGO, CHILE",Santiago,NULL,CL,
ENEOS OCEAN CORPORATION,,,,"THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU",Yokohama,220-8148,JP,
SEATRANS MARINE PRIVATE LIMITED,,,,"ABIR KUNJ, 158 RAJDANGA NABAPALLY",Kolkata,700107,IN,
MAC SHIPPING MANAGEMENT PTE,,,,hk,Hong Kong,NULL,HK,
NEXA RESOURCES CAJAMARQUILLA S.A.,,,,"CAR. CENTRAL N° 9.5 CAJAMARQUILLA (CARR. CENTRAL KM 9.5 DESVIO A HUACHIPA), LIMA, LURIGANCHO",Lurigancho,0,PE,
SUMITOMO CORPORATION - ACIDS,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
OCEAN FAVOR SHIPPING (SHANGHAI) LTD,,,,"ROOM 517 A BUILDING 3 NO 2588, SOUTH LIANHUA ROAD MINHANG DISTRICT",Shanghai,0,CN,
FUJI LAVA MARITIME LTD,,,,,Monaco,0,MC,
"CENTRAL ROMANA CORP. LTD. ",,,,"C/O AMERICAS EXPORT COPR, P.O. BOX 3067, WEST PALM BEACH, FLORIDA 33401-3067",West Palm Beach,33401-3067,US,
THE BTTCO OVERSEAS,,,,"B-92, OM TOWERS, GHODA CAMP ROAD, SHAHIBAUG",Ahmedabad,380 004,IN,
BEYKIM DENIZCILIK GEMI,,,,"IC Kapi 142, Blok 2, Maslak A Blok, AOS 55 Sokak, Maslak Mah, 42, SariyeR",Istanbul,NULL,TR,
YARA BRAZIL,,,,"AV. ALMIRANTE MAXIMIANO FONSECA 2001, CEP 96204-040, RIO GRANDE, RS, BRASIL",Rio Grande,CEP 96204-040,BR,
SAEHAN MARINE CO LTD (BUSAN),,,,"12TH FLOOR, ANNJAY TOWER 208, TEHERAN-RO, GANGNAM-GU, SEOUL, 06220, KOREA",Seoul,6220,KR,
GOLDEN STENA BAYCREST TANKERS PTE LTD,,,,"108 PASIR PANJANG ROAD, #04-15 GOLDEN AGRI PLAZA",Singapore,118535,SG,
DUCGIANG CHEMICAL AND DETERGENT,,,,"TANG LOONG INDUSTRIAL ZONE, TANG LOONG, BAO THANG, LAO CAI, VIETNAM",Lao Cai,NULL,VN,
VISIONCHEM,,,,"#1515 SAMKOO BUILDING, 40 CHEONGPA-RO, YONGSAN-GU",Seoul,4373,KR,
"Shandong Xiangying Chemical Import and Export CO.,LTD.",,,,"715, Tower A, world trade center, Yantai, Handong province,",,NULL,CN,
SUMITOMO MYANMAR,,,,"#208~213, 2ND FLOOR, PRIME HILL BUSINESS SQUARE, NO.60 SHWE DAGON PAGODA ROAD, DAGON TOWNSHIP",Yangon,0,MM,
WILSON INTERNATIONAL TRADING PRIVATE LTD,,,,"8 Temasek Boulevard 17-02/03 Suntec Tower 3 ",Singapore,038988,SG,
PANOLI INTERMEDIATES (INDIA) PVT. LTD.,,,,"'Sara Niwas', 20-21, Harinagar Co.Op. Society, Gotri Road",Vadodara,39007,IN,
DHL EXPESS,,,,,Monaco,NULL,MC,
"HIBI KYODO SMELTING CO.,LTD.",,,,"1-11-1 OSAKI , SHINAGAWA-KU",Tokyo,141-8584,JP,
STERLITE INDUSTRIES,,,,"SIPCOT INDUSTRIAL COMPLEX, MADURAI BYPASS ROAD, THOOTHUKUDI (TAMIL NADU)",Tuticorin,628002,IN,
TAIHEI KAIUN KK,,,,,Monaco,0,MC,
PT QMB NEW ENERGY MATERIALS,,,,"Sopo Del Office Tower Lantai 22, Unit A, Jalan Mega Kuningan Barat III Lot 10.1-6 Kawasan Mega Kuningan, Kota Adm. Jakarta Selatan, Provinsi DKI Jakarta, Kode Pos: 12950, Indonesia",Jakarta,12950,ID,
GLENCORE HOLDING AG,,,,"BAARERMATTSTRASSE 3, P.O. BOX 1363",Baar,6340,CH,
"SHANGHAI SUMITOMO CORPORATION CO.,LTD.",,,,"10F, SHANGHAI WORLD FINANCIAL CENTER, 100 CENTURY AVENUE, PUDONG NEW AREA",Shanghai,200120,CN,
"INEOS SULPHUR CHEMICALS SPAIN, S.L.U.",,,,"DIQUE DE ZIERBENA, MUELLE AZ-1",Zierbena-Bizkaia,48508,ES,
CIECH S.A,,,,UL. WSPOLNA,Warsaw,00-684,PL,
SUMITOMO AUSTRALIA,,,,"LEVEL 21, 101 COLLINS STREET, MELBOURNE VIC 3000, AUSTRALIA",Melbourne,VIC 3000,AU,
GOLDEN JUPITER NAVIGATION S.A.,,,,,Monaco,0,MC,
"Agrifields DMCC, Dubai",,,,"3201, JBC4, Cluster N, Jumeirah Lake Towers",Dubai,NULL,AE,
"CVCI ",,,,"AVENUE D'OUCHY 47, 1006 LAUSANNE, SWITZERLAND",Lausanne,CH-1006,CH,
"PAN OCEAN CO., LTD",,,,"Tower 8, 7, Jong-ro 5-Gil, Jongro-Gu, Seoul, Korea (Rep of) Korea, Republic Of ",Seoul,NULL,KR,
SGS-CSTC STANDARDS TECNICAL SERVICES CO. LTD,,,,,Monaco,0,MC,
SINOCHEM INTERNATIONAL CORP.,,,,,Monaco,0,MC,
"INFICESS SHIPPING CO., LTD.",,,,,Monaco,0,MC,
SUMITOMO CORPORATION VIETNAM LLC (HA),,,,"9TH FLOOR, CORNERSTONE BLDG, 16 PHAN CHU TRINH STREET, HOAN, KIEM DISTRICT",Hanoi,0,VN,
SUMITOMO CORPORATION - NO OR LIMITED COMMISSION,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
SEASTAR MARITIME CO. LTD,,,,"Room 2112, Techno-Mart 21 Bldg, 85 Gwangnaru-Ro 56 Gil, Gwangjin-Gu",Seoul,NULL,KR,
NFC PUBLIC COMPANY LTD - MAHACHAI,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
INTERACID TRADING (CHILE) S.A.,,,,ISIDORA GOYENECHEA NR. 3600 - OFFICE 301 LAS CONDES,Santiago,,CL,
J.M. BAXI & CO,,,,"GODREJ COLISEUM, 8TH FLOOR, 801-C WING, EVERARD NAGAR, SION (EAST),",Mumbai,400022,IN,
KONA MARITIME S.A.,,,,,Monaco,0,MC,
NewChem Consulting AG,,,,Waldeggweg 6A 6318 Walchwil Switzerland,Walchwil,6318,CH,
TAGANITO HPAL NICKEL CORPORATION,,,,"TAGANITO SPECIAL ECONOMIC ZONE (TSEZ) BARANGAY TAGANITO, CLAVER, SURIGAO DEL NORTE, PHILIPPINES 8410",Surigao Del Norte,8410,PH,
KHANG TRUNG HIEU CO. LTD,,,,"N° 12/17, VO THI SAU STREET, QUYET THANG WARD, BIEN HOA CITY, DONG NAI PROVINCE, VIETNAM",Dong Nai Province,0,VN,
INFICESS SHIPPING CO. LTD.,,,,,Monaco,0,MC,
SRF LIMITED,,,,"D II/I, GIDC PCPIR, GIDC PHASE II, TAL VAGRA, VILLAGE DAHEJ, BHARUCH, GUJARAT 392130, INDIA",Gujarat,392130,IN,
FLYTE YANGON SA,,,,"23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este",Panama City,NULL,PA,
ASIA CHEMICAL TANKER ALLIANCE PTE LTD,,,,"6 Temasek Boulevard #44-01 Suntec Tower Four ",Singapore,038986,SG,
TATSUMI SHOKAI (NAOSHIMA/HIBI),,,,"TATSUMI SHOKAI BLDG 3FL 4-1-1, CHIKKO, MINATO-KU",Osaka,552-0021,JP,
COROMANDEL INTERNATIONAL LTD,,,,"COROMANDEL HOUSE, 1-2-10, SARDAR PATEL ROAD, SECUNDERABAD, 500003, INDIA",Secunderabad,50003,IN,
GLENCORE CHILE SPA,,,,"AV. COSTANERA SUR 2730 OF. 1701, PISO 17, LAS CONDES, SANTIAGO, CHILE",Santiago,0,CL,
NIPPON MARINE CO LTD,,,,966-15 OITA CITY,Saganoseki,879-2201,JP,
SGS ESPANOLA DE CONTROL,,,,,Monaco,0,MC,
LISBON SHIPPING LTD,,,,"Room 550, 5th Floor, Zonghe Lou, 385, Chaoyangshan Lu, Huangdao Qu, Qingdao",Qingdao,266400,CN,
FEDERAL EXPRESS (FEDEX/TNT),,,,,Monaco,NULL,MC,
SAI SULPHONATES PCT LTD,,,,"21, C. R. AVENUE, WHITE HOUSE, 2ND FLOOR, 700 072 KOLKATA, INDIA",Kolkata,700 072,IN,
MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,,,,"5 SHENTON WAY, #15-01",Singapore,068808,SG,
SONGA SHIPMANAGMENT LTD,,,,,Monaco,0,MC,
NORTON LILLY INTERNATIONAL,,,,433 CALIFORNIA ST,San Francisco,94104,US,
Xingtong Shipping (Singapore) Pte Ltd,,,,TEMASEK BOULEVARD #24-05 SUNTEC TOWER FOUR SINGAPORE Tel: +65 9298398 Email: chartering@xtshipping.com,Singapore,038986,SG,
GUJARAT FLUOROCHEMICALS LIMITED,,,,"ABS TOWERS, 2ND FLOOR, OLD PADRA ROAD, VADODARA 390007, GUJARAT, INDIA",Vadodara,390007,IN,
CELSIUS SHIPPING APS,,,,,Monaco,0,MC,
JEIL INTERNATIONAL CO. LTD.,,,,,Monaco,0,MC,
TIMAC AGRO IRELAND LIMITED,,,,"4 & 5, PRIORITY COURT THE QUAY, NEW ROSS, CO WEXFORD, IRELAND",Wexford,Y34 HV25,IE,
SUMITOMO CORPORATION ASIA & OCEANIA,,,,"35TH FLOOR UBN TOWER, 10 JALAN P RAMLEE",Kuala Lumpur,50250,MY,
"INTERACID NORTH AMERICA, INC (Beaumont)",,,,"560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA",Roswell,30075,US,
NFC PUBLIC COMPANY LTD - UCHA,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
NUOVA SOLMINE S.P.A.,,,,VIA NUOVA VIGNOLE 38,Serravalle Scrivia AL,15069,IT,
LUMUT VENTURE SDN BHD,,,,,Monaco,0,MC,
CONE SUL AGENCIA DE NAVEGACAO LTDA,,,,,Monaco,NULL,MC,
SUMITOMO CORPORATION (SHANGHAI) LTD,,,,"10F,Shanghai World Financial Center,100 Century Avenue, Pudong New Area, Shanghai ",Shanghai,NULL,CN,
MITSUBISHI MATERIALS CORPORATION METALS COMPANY,,,,"11F KEIDANRENKAIKAN, 1-3-2,OHTEMACHI,CHIYODA-KU",Tokyo,100-8117,JP,
CREDIT SUISSE (SWITZERLAND) SA,,,,1201 Geneva,Geneva,NULL,CH,
"INTERACID NORTH AMERICA, INC (Tampa)",,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
PT PUPUK ISKANDAR MUDA (PIM),,,,JL. MEDAN - BANDA ACEH PO BOX 21,,NULL,ID,
"FURUKAWA METALS & RESOURCES CO., LTD.",,,,"2-3 MARUNOUCHI, 2 - CHOME, CHIYODA-KU",Tokyo,0,JP,
"SUNWOO TANKER CO. LTD, KOREA",,,,"MI-WON BLDG ROOM 1702, 70 GUKJEGEUMYUNG-RO, YEONGDEUNGPO-GU",Seoul,NULL,KR,
SATCO SULPHURIC ACID WC,,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL ",Stockton,33610,US,
SUMITOMO CORPORATION VIETNAM LLC (HM),,,,"LANDMARK BUILDING, 6TH FLOOR, 5B TON DUC THANG, BEN NGHE WARD, DISTRICT 1,",Ho Chi Minh,0,VN,
ODFJELL TANKERS AS,,,,CONRAD MOHRS VEG 29,Bergen,5072,NO,
"SUMITOMO METAL MINING CO., LTD.",,,,"3-5-3, NISHIBARA-CHO, NIIHAMA",EHIME,792-8555,JP,
GANSU YONGQI INDUSTRY AND TRADE. CO. (S),,,,"NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, GANSU PROVINCE,",Jinchang City,0,CN,
UPS UNITED PARCEL SERVICE (SCHWEIZ) AG,,,,,Monaco,0,MC,
HANSA TANKERS AS OF BERGEN,,,,KALFARVEIEN 57A,Bergen,5022,NO,
SC SHIPPING SINGAPORE PTE LTD,,,,,Monaco,0,MC,
FOSPHORY SP Z.O.O,,,,IL. KUJAWSKA 2,Gdansk,80-550,PL,
VELOCITE SARL,,,,"RUE DR CESAR-ROUX 29, 1003 LAUSANNE, SWITZERLAND",Lausanne,1003,CH,
TACHIBANAYA CO. LTD.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION TAIWAN LTD,,,,"SUMITOMO-FLYSUN BLDG. 8TH FL., NO. 260, TUN HWA N. ROAD",Taipei,NULL,TW,
TAIKO MARKETING SDN,,,,"B2-6-01, BLOK B2, MERITUS @ OASIS CORPORATE N° 2, JALAN PJU 1A/2, ARA DAMANSARA, 47301 PETALING JAYA, SELANGOR, MALAYSIA",Petaling Jaya,47301,MY,
"SAEHAN MARINE CO, LTD (MARINE)",,,,10 ANSON ROAD #26-02 INTERNATIONAL PLAZA,Singapore,79903,SG,
DILMAS CO LTD,,,,"ul Pogranichnaya 72, Nakhodka, Primorskiy kray, 692910, Russia.",Primorsk,692910,RU,
SAYBOLT POLAND SP. Z O.O.,,,,1 PODLASKA STR.,Gdynia,81-325,PL,
AKR SEA TRANSPORT PT,,,,"Lot 7, Wisma AKR, Jalan Panjang 5, Kec Kebon Jeruk",Jakarta,11530,ID,
NAVIG8 CHEMICAL POOLS INC.,,,,"3 TEMASEK AVENUE, #25-01 CENTINNIAL TOWER",Singapore,039190,SG,
RAETSMARINE INSURANCE B.V.,,,,,Monaco,0,MC,
AR SAVAGE AND SON,,,,"202 SOUTH ROME AVE, SUITE 200",Tampa,33606,US,
MARCOBRE S.A.C.,,,,"Giovanni Batista Lorenzo Bernini 149, Piso 3, Oficina 301, San Borja, Lima, Peru",Lima,NULL,PE,
LS-NIKKO COPPER INC.,,,,"15FI., (LS YONGSAN TOWER), 92, HANGANG-DAERO, YONSAN-GU",Seoul,4386,KR,
JLS MONKEY CO LTD,,,,"Workshop B, 3rd Floor, Manning Industrial Building, 116-118, How Ming Street, Kwun Tong, Kowloon",Hong Kong,NULL,CN,
SUMITOMO CORPORATION - FURUKAWA,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
CHEMMASTER TANKERS COMPANY LIMITED,,,,"Room 1510,wing Tuck Commerical Centre, 177-183 Wing Lok Street ",Hong Kong,NULL,HK,
BTM MUFG Bank Ltd,,,,"Ropemaker Place, 25 Ropemaker Street London EC2Y 9AN, United Kingdom",London,EC2Y 9AN,GB,
PT PETROKIMIA (PKG),,,,"JI. JEND. AHMAD YANI, GRESIK 61119",Gresik,61119,ID,
"Sulfuric Acid Trading Company , Inc (SATCO)",,,,3710 Corporex Park Drive - Suite 205,Tampa,NULL,US,
TWO LIONS ZHANGJIAGANG,,,,DONGHUA ROAD YANGTZE RIVER INTERNATIONAL CHEMICAL INDUSTRIAL PARK,Zhangjiagang,0,CN,
ACE TANKERS MANAGEMENT B.V.,,,,STRAWINSKYLAAN 1057,Amsterdam,STRAWINSKYLAAN 1057,NL,
PHILIPPINE ASSOCIATED SMELTING AND REFINING CORP.,,,,"LEYTE INDUSTRIAL DEVELOPMENT ESTATE, ISABEL",Leyte,0,PH,
SC SHIPPING SINGAPORE PTE LTD,,,,"6 Temasek Blvd #22/04-05 Suntec Tower 4 ",Singapore,038986,SG,
TBD Shipowner,,,,TBD,Monaco,TBD,MC,
HICRI ERCILI,,,,600 EVLER MAHALLESI BALIKESIR ASFALTI SAĞ TARAF NO: 72,Bandirma,10200,TR,
BARWIL AGENCIES LTD,,,,,Monaco,NULL,MC,
FERTILORE SAS,,,,"40 TER AVENUE DE SUFFREN, 75015 PARIS, FRANCE",Paris,75015,FR,
FLYTE MANILA SA,,,,"23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este",Panama City,NULL,PA,
BOLIDEN MINERAL AB,,,,,Skelleftehamn,932 81,SE,
SHOKUYU TANKER CO. LTD.,,,,,Monaco,0,MC,
"ATLANTIC COPPER ",,,,"P° DE LA CASTELLANA, 95 - 21ST FLOOR",Madrid,28046,ES,
MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,,,,"5 SHENTON WAY, #15-01",Singapore,068808,SG,
TATSUMI MARINE (S) PTE LTD,,,,,Singapore,NULL,SG,
SUMITOMO CORPORATION DIS TICARET A.S.,,,,"Ferko Plaza, Esentepe district, Büyükdere Street No.175, A Blok 20th Floor, Şişli",Istanbul,NULL,TR,
Scrap Co. Ltd,,,,Blvd des Moulins,Monaco,NULL,MC,
"FOCUS SHIPPING CO.,LTD",,,,12/F 3 LOCKHART RD. WANCHAI,Hong Kong,0,HK,
NAMHAE CHEMICAL CORP,,,,"1506, 17, Seobinggo-ro, Yongsan-gu",Seoul,04387,KR,
SHANGHAI ORIENT INTERTEK TESTING SERVICES CO.,,,,,Monaco,0,MC,
MARNAVI SHIPPING MANAGEMENT PVT LTD,,,,,Monaco,0,MC,
SGS TESTING KOREA CO. LTD.,,,,,Monaco,0,MC,
FERALCO (UK) LTD,,,,"DITTON ROAD, WIDNES, CHESHIRE WA 8 OPH, ENGLAND",Cheshire,WA 8 OPH,GB,
ACE QUANTUM CHEMICAL TANKERS CV,,,,,Monaco,0,MC,
HONGKONG ZHOUSHAN YIHAI SHIPPING CO. LTD.,,,,,Monaco,0,MC,
AET SHIP MANAGEMENT (M) SDN. BHD.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD - PROMMITR,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
SUMIMA SDN BHD,,,,,Monaco,0,MC,
"TOROS AGRI INDUSTRY AND TRADE CO, INC. (C )",,,,"TEKFEN TOWER,4. LEVENT",Istanbul,34394,TR,
"TRICON ENERGY, LTD",,,,"1500 Post Oak Blvd., 18th Floor, Houston, Texas 77056 USA",Houston,77056,US,
HUTAMA TRANS KONTINENTAL PT,,,,"Lantai 26, Mangkuluhur City Tower One, Jalan Jendral Gatot Subroto Kav 1-3, Kel Karet Semanggi",Jakarta,12930,ID,
GRACEFUL STAR SHIPPING CO LTD,,,,"Room 2109, 21st Floor, C C Wu Building, 302-308, Hennessy Road, Wan Chai, Hong Kong, China.",Hong Kong,NULL,CN,
MAADEN PHOSPHATE COMPANY,,,,"P.O. Box 11110, Ras Al Khair, Industrial City",Jubail,31961,SA,
SUMITOMO CORP. ASIA,,,,"KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297, 50710 KUALA LUMPUR, MALAYSIA",Kuala Lumpur,50710,MY,
"COOGEE CHEMICALS PTY LTD ",,,,"CNR PATTERSON & KIWANA BEACH ROADS, KWINANA, P.O. BOX 5051 ROCKINGHAM BEACH, WA 6969, AUSTRALIA",Brand,6969,AU,
MAKINO KAIUN CO LTD & MAKI OCEAN SHIPPING SA,,,,,Monaco,0,MC,
PROCYON SHIPPING S.A.,,,,,Monaco,0,MC,
VENATOR ASIA SDN BHD (EX HUNTSMAN),,,,"KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA",Kemaman,24000,MY,
WOMAR LOGISTICS PTE LTD,,,,"8 TEAMASEK BOULEVARD, #22-06, SUNTEC TOWER 3",Singapore,038988,SG,
EASTERN TANKERS CO. LTD.,,,,,Monaco,0,MC,
AS INVENTOR SHIPPING,,,,,Monaco,0,MC,
HICRI ERCILI DENIZCILIK AS,,,,,Monaco,0,MC,
BAO PHUNG COMPANY,,,,,Monaco,NULL,MC,
CIE MARITIME BELGE SA,,,,,Monaco,0,MC,
Accounting Matching,,,,internal,,NULL,CH,
IND-AUST MARITIME PVT LTD,,,,"715, JK Chambers, Sector 17, Vashi, Navi Mumbai, Maharashtra",,400703,IN,
SAG Surveyors Alliance Group,,,,"Calle Bolívar 472 Of 705, Miraflores – Lima 18, Perú",Lima,0,PE,
STAINLESS TANKERS INC C/O WOMAR LOGISTICS PTE LTD,,,,,Monaco,0,MC,
HINDALCO INDUSTRIES LTD,,,,"P.O. DAHEJ, DIST : BHARUCH, PIN CODE",Gujarat,392 130,IN,
INCHCAPE SHIPPING SERVICES (JAPAN) LTD.,,,,"HAMAMATSUCHO BLDG. 6F, 1-1-1, SHIBAURA, MINATO-KU",Tokyo,105-0023,JP,
GOLDEN FORTUNE SHIPHOLDING S.A.,,,,,Monaco,0,MC,
SU NAVIGATION PTE. LTD,,,,"200 CANTONMENT ROAD, #14-04 SOUTHPOINT,",Singapore,089763,SG,
PEREZ Y CIA MADRID,,,,FORTUNY 9,Madrid,28010,ES,
INTER QUIMICA S.A.,,,,"AV. SAN MARTIN 209, EDIF. JARABA IMPORT, SANTO DOMINGO, DOMINICAN REPUBLIC",Santo Domingo,0,DO,
"B&M AGENCIA MARITIMA S.A. ",,,,AVENIDA ANDALICAN 881,Mejillones,NULL,CL,
PROQUIGEL QUIMICA S.A.,,,,"FAZENDA CAROBA S/N, 43.813-300 CANDEIAS, BA, BRASIL",Candeias,43.813-300,BR,
SUMITOMO CORPORATION MANILA,,,,,Manila,0,PH,
TIOXIDE (MALAYSIA) SDN BHD,,,,"KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA",Terengganu,24007,MY,
DAITOH TRADING CO. LTD.,,,,,Monaco,0,MC,
TBD Customer,,,,TBD,Monaco,TBD,MC,
BETTY MILD MARITIME S.A,,,,,Monaco,0,MC,
IINO KAIUN KAISHA LTD OF TOKYO.,,,,"IINO BUILDING, 2-1-1 UCHISAIWAICHO, CHIYODA-KU",Tokyo,100-0011,JP,
IINO SINGAPORE PTE. LTD,,,,168 ROBINSON ROAD #13-02 CAPITAL TOWER,Singapore,068912,SG,
"JINLONG COPPER CO., LTD",,,,"1, Jinshan West Road Tongling Anhui",,244021,CN,
MOSAIC FERTILIZANTES BRAZIL,,,,"AV. ROQUE PETRONI JUNIOR 999, 14° ANDAR BROOKLYN, CEP 04707-910 SAO PAULO, BRAZIL",Sao Paulo,CEP 04707-910,BR,
1 name tax_identifier vat_code address_name street city zip country_code subdivision_code
2 HEUNG-A SHIPPING CO., LTD. 3F, HEUNG-A BLDG, 21, SAEMAL-RO 5-GIL, SONGPA-GU Seoul 0 KR
3 SUMITOMO CORPORATION TOKYO INORGANIC CHEMICALS TEAM, INORGANIC AND PERFORMANCE CHEMICALS DEPT. 3-2, OTEMACHI 2-CHROME, CHIYODA-KU Tokyo 100-8601 JP
4 TRANSAMMONIA AG PRIME TOWER, HARDSTRASSE 201, 8005 ZURICH, SWITZERLAND Zurich 8005 CH
5 AMEROPA ONE TEMASEK AVENUE, MILLENIA TOWER HEX 31-02 Singapore 039192 SG
6 NISSHIN SHIPPING CO. LTD Monaco 0 MC
7 KORINDO PELAYARAN PT 12th Floor, Wisma Korindo, Jalan Letjen MT Haryono 62, Kel Pancoran Jakarta NULL ID
8 PARANAPANEMA S/A (C) VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA, BAHIA, BRAZIL Bahia CEP 42850-00 BR
9 AZTEC MARINE LTD Monaco NULL MC
10 MALAYSIAN PHOSPHATE ADDITIVES SB. SUITE 609, LEVEL 6, BLOCK F, PHILEO DAMANSARA 1, N° 9, JALAN 16/11, 46350 PETALING JAYA, SELANGOR DE Petaling Jaya 46350 MY
11 BSI INSPEC. SPAIN (BUREAU VERITAS) Monaco NULL MC
12 MH PROGRESS LINE S.A. Monaco 0 MC
13 NAVIERA PETRAL SA Oficina 102, Calle Alcanflores 393, Miraflores Lima 15074 PE
14 NAVIG8 LIMITED Monaco 0 MC
15 INTEROCEANIC (C) 7 RENAISSANCE SQUARE 7TH FLOOR New York 10601 US
16 LYNX SHIPPING PTE. LTD 16 Raffles Quay #41-02, Hong Leong Building, Singapore 048581 SG
17 ABO SINGAPORE PTE LTD Monaco 0 MC
18 FERTIPAR FERTILIZANTES RUA COMENDADOR CORREA JUNIOR, 1178, BAIRRO 29 DE JULHO, CEP 83.203-762 PARANAGUA, PR BRASIL Paranagua CEP 83.203-762 BR
19 NATIONAL CHEMICAL CARRIERS LTD Monaco 0 MC
20 BALLANCE AGRI-NUTRIENTS HEWLETT'S ROAD, MOUNT MAUNGANUI, NEW ZEALAND Mount Maunganui NULL NZ
21 JX OCEAN CO. LTD THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU Yokohama 220-8148 JP
22 SUKSES OSEAN KHATULISTIWA LINE Blok J, Jalan Mangga Dua Dalam 5&8, Jakarta Pusat Jakarta 10730 ID
23 PARADEEP PHOSPHATES LIMITED BAYAN BHAWAN, PANDIT J. N. MARG, BHUBANESWAR 751001, ORISSA, INDIA Orissa 751001 IN
24 NEW EAGLE SHIPPING S.A. Monaco 0 MC
25 KGHM POLSKA MIEDZ S.A. UL. M. SKLODOWSKIEJ-CURIE 48, 59-301 LUBIN, POLAND Lubin 59-301 PL
26 SUMITOMO CORPORATION - TOHO 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
27 INTERTEK CALEB BRETT INDIA Monaco 0 MC
28 PTT ASAHI CHEMICAL CO. LTD. 8 PHANGMUANG CHAPOH 3-1 ROAD, HUAYPONG SUB-DISTRICT, MUANG DISTRICT, RAYONG 21150, THAILAND Rayong 21150 TH
29 NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO. LTD. NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO., LTD, Shuanglong road in Nanjing city of Jiangning Development Zone No 1700, 7th floor, A block, P.R. China China. NULL CN
30 BOLIDEN HARJAVALTA OY TEOLLISUUSKATU 1 Harjavalta 29200 FI
31 TEAM TANKERS INTERNATIONAL LTD. Monaco 0 MC
32 SUMITOMO CORPORATION INDONESIA (SSRI) Jl. Jend. Sudirman Kav. 61-62 Jakarta 12190 ID
33 P&F MARINE CO LTD Monaco 0 MC
34 LA POSTE WANKDORFALLEE 4, 3030 BERNE, SWITZERLAND Bern 3030 CH
35 AURUBIS AG HOVESTRASSE 50 Hamburg 20539 DE
36 ERSHIP SAU CALLE MARINA 26 Huelva 21001 ES
37 KAWASAKI KISEN KAISHA, LTD. Monaco 0 MC
38 SUMITOMO CORPORATION - MMC 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
39 UBE CHEMICALS ASIA PCL (Ex TCL) 18TH FLOOR, SATHORN SQUARE OFFICE TOWER, N° 98 NORTH SATHORN ROAD, SILON SUB-DISTRICT, BANGKOK 10500, THAILAND Bangkok 10500 TH
40 KOREA ZINC COMPANY LTD ONSAN COMPLEX, 505 DAEJONG-RI, ONSAN-EUP, ULJU-GUN ULSAN, KOREA Ulsan NULL KR
41 MTM TRADING LLC OF MARSHALL ISLANDS 2960 POST ROAD, CU Southport 06890 US
42 HOPECHEM CO., LTD (S) ROOM 302, NO.233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, Shenzhen 518114 CN
43 CS MARINE CO LTD Monaco 0 MC
44 HAFNIA POOLS PTE LTD 18-01, MapleTree Business City, 10, Pasir Panjang Road, Singapore 117438 117438 SG
45 SAEHAN MARINE CO LTD. (ULSAN) 502, KYONG DONG E&S #304 JANGSENGPO-DONG, NAM-KU, ULSAN 44780, KOREA Ulsan 44780 KR
46 CIBRAFERTIL COMP. BRASILIERA DE FERTILIZANTES #19-01 SUNTEC TOWER THREE, Camacari 42810-290 BR
47 FAIRFIELD CHEMICAL CARRIERS BV 8 TEMASEK BOULEVARD, #19-01 SUNTEC TOWER THREE, Singapore 038988 SG
48 ASHAPURA PERFOCLAY LTS. JEEVAN ADYOG BUILDING, 3RD FLOOR, 278 D. N. ROAD, FORT, MUMBAI 400 001 Mumbai 400 001 IN
49 TATA CHEMICALS LIMITED DURGACHAK, HALDIA, WEST BENGAL 721 602, INDIA West Bengal 721 602 IN
50 DOE RUN PERU S.R.L. #14-04 SOUTHPOINT, Lima 27 PE
51 INTEROCEANIC (S) 7 RENAISSANCE SQUARE 7TH FLOOR New York 10601 US
52 SAEHAN MARINE CO., LTD Monaco NULL MC
53 MAROC-PHOSPHORE S.A. 2, RUE AL ABTAL, HAY ERRAHA, 20200 CASABLANCA, MOROCCO Casablanca 20200 MA
54 ACE SULFERT (LIANYUNGANG) CO. LTD Monaco NULL MC
55 INCHCAPE SHIPPING SERVICES Monaco 0 MC
56 AONO MARINE CO LTD 1-1-17, SHINDEN-CHO Niihama 792-0003 JP
57 BANDIRMA GÜBRE FABRIKALARI A.S. (S) SUSAM SOK. NO:22 Cihangir-Istanbul 34433 TR
58 HEXAGON GROUP AG Bleicherweg 33 Zurich 8002 CH
59 INNOPHOS DOMICILIO CONOCIDO SN, S.T., PAJARITOS, CP 96384, COATZACOALCOS, VER. MEXICO Coatzacoalcos CP 96384 MX
60 TODA KISEN KK NULL MC
61 FARMHANNONG #523 Maeam-dong Nam-ku, Ulsan 680-050 South Korea Ulsan 680-050 KR
62 AGROINDUSTRIAS DEL BALSAS ISLA DE EN MEDIO SIN NUMERO, INTERIOR RECINTO PORTUARIO, LAZARO CARDENAS, MICH. MEXICO Mexico City NULL MX
63 A.R. SULPHONATES PVT. LIMITED 21, PRINCEP STREET, KOLKATA 700072, INDIA Kolkata 700072 IN
64 WINA TECHNOLOGIES 9 KOFI PORTUPHY STREET, WESTLANDS, WEST LEGON, ACCRA, GHANA Accra 0 GH
65 ARTHUR J. GALLAGHER (UK) LTD Monaco NULL MC
66 STOLT TANKERS B.V. 460 ALEXANDRA ROAD, # 10-01 PSA BUILDING Singapore 119963 SG
67 SAS International LLC 26865 Interstate 45 South - Suite 200 The Woodlands, TX 77380 US
68 TUFTON OCEANIC LTD. Monaco 0 MC
69 D3 CHEMIE Monaco NULL MC
70 Interacid Trading SA (accounting) En Budron H14 Le Mont-sur-Lausanne CH-1052 CH
71 SHANGHAI DINGHENG SHIPPING CO.,LTD. Monaco 0 MC
72 MCC RAMU NICO LTD PO BOX 1229, MADANG SECTION 95, LOT 18-19, MODILON RD PAPUA, NEW GUINEA Modilon RD Papua 0 PG
73 FERTIMAC AV. PLINIO BRASIL MILANO, 289 CONJ. 301, PORTO ALEGRE - RS - BRASIL, CNPJ : 92194026/0001-36 Porto Alegre 0 BR
74 THE PHOSPHATE CO. LTD. . 14, NETAJI SUBHAS ROAD, KOLKATA 700001, INDIA Kolkata 700001 IN
75 CORP. NACIONAL DEL COBRE HUÉRFANOS 1270 Santiago 8320000 CL
76 KIMYA MARKET SANAYI.TIC.LTD.STI. 600 Evler Mah.Balıkesir Asfaltı Sağ Taraf No:72 BANDIRMA BALIKESIR Bandırma Tax Office Bandirma NULL TR
77 Marsh / Navigators Insurance Company 1 Penn PLZ FL 55 New York 10119-5500 US
78 DE POLI TANKERS BV TRONDHEIM 20 Barendrecht 2993LE NL
79 SUNWOO SHIPPING CO., LTD. KEB HANA BANK, MAPO-YEOK BRANCH 041-68 52, MAPO-DAERO, MAPO-GU, SEOUL, SOUTH KOREA ACCOUNT NO. 176-910020-20638 SWIFT : KOEXKRSE IN FAVOUR OF SUNWOO SHIPPING CO., LTD. Seoul NULL KR
80 NYRSTAR PORT PIRIE PTY LTD. HOOFDSTRAAT 1 DORPLEIN 6024 AA BUDEL NL
81 INSPECTORATE (SUISSE) SA Monaco 0 MC
82 GANSU YONGQI INDUSTRY AND TRADE. CO. (C) NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, JINCHANG CITY, GANSU PROVINCE, CHINA Gansu Province 0 CN
83 ASOCIACION DE COOPERATIVAS ARGENTINAS COOP. AV. EDUARDO MADERO 942, 4° - 5° - 6° - 7° PISO/FLOOR, (1106) BUENOS AIRES - ARGENTINA, C.U.I.T. 30-50012088-2 Buenos Aires 1106 AR
84 DM SHIPPING CO LTD Monaco 0 MC
85 SUMITOMO CORPORATION - PPC 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
86 FILHET - ALLARD MARITIME Monaco 0 MC
87 IPSL / PEQUIVEN Monaco 0 MC
88 VENUS SHIPPING CO LTD 1830, Lotte Gold Rose2Cha 890-59 Daechi 4-sa-dong Gangnam-gu Seoul NULL KR
89 TOHO ZINC CO., LTD. 8-2,MARUNOUCHI 1-CHOME,CHIYODA-KU, Tokyo 100-8207 JP
90 PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. 8F., NO 88, SEC. 2, NANJING E. RD, ZHONGSHAN DIST., Taipei 10457 TW
91 INDEVCO TRADING 35 AMBER ROAD #09-14, THE SEA VIEW, SINGAPORE 439945 Singapore 439945 SG
92 GREATHORSE INTERNATIONAL SHIP MANAGEMENT CO., LTD. Monaco 0 MC
93 JINCHUAN JINCHUAN INDUSTRIAL PARK, QISHA INDUSTRIAL ZONE, GANGKOU DISTRICT, FANGCHENGGANG CITY GUANGXI PROVINCE Fangchenggang City 538002 CN
94 MC FOR LLC Room 4, Premise 8N, prospekt Nevskiy 20A, St Petersburg, 191186, Russia. Saint Petersburg 191186 RU
95 GRUPO MEXICO EDIFICIO PARQUE REFORMA CAMPOS ELISEOS NO. 400, LOMAS DE CHAPULTEPEC Mexico City 11000 MX
96 UBS SWITZERLAND AG Rue des Noirettes 35 PO Box 2600 Geneva 1211 CH
97 WLR/TRF SHIPPING LTD. Monaco 0 MC
98 TRANSMARINE NAVIGATION CORPORATION 2321 W WASHINGTON ST # K Stockton 95203 US
99 NATIONAL CHEMICAL CARRIERS LTD. CO. 9/F, ONE JLT, JUMEIRAH LAKE TOWERS Dubai AE
100 SORIN CORPORATION YOUNG-POONG BLDG, 542, GANGNAM-DAERO, GANGNAM-GU Seoul 06110 KR
101 JX METALS SMELTING CO.,LTD. 1-2 OHTEMACHI 1-CHOME, CHIYODA-KU, Tokyo 100-0004 JP
102 CHENGTAI GROUP PTE LTD TBD NULL CN
103 FERFERMEX S.A. PREDIO ENCINO GORDO S/N, C.P. 96340 Veracruz 96340 MX
104 SHOKUYU NAVIGATION CO.,SA NULL MA
105 BERLIAN LAJU TANKER TBK PT Jalan Abdul Mu'is 40, Kec Gambir Jakarta 10160 ID
106 INTERACID NORTH AMERICA, INC (Stockton) 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
107 META NICKEL CEYHUN ATIF KANSU CADDESI 114 BAYRAKTAR CENTER, D BLOK 1. KAT DAIRE NO: 1- Ankara 2 TR
108 OTAMAY SHIPPING INC. Monaco 0 MC
109 NFC PUBLIC COMPANY LTD 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
110 NEW WAY VYAPAAR PVT LTD 249/B, G.T. ROAD (NORTH), LILUAH, FIRST FLOOR, ROOM N° 17, HOWRAH 711 204, WB INDIA Howrah 711 204 IN
111 SGS NORTH AMERICA INC. Tampa NULL US
112 KOYO KAIUN ASIA PTE. LTD Monaco 0 MC
113 KUTCH CHEMICAL INDUSTRIES LTD 20-21, SARA NIWAS, HARI NAGAR, GOTRI ROAD, GUJARAT Vadodara 390 007 IN
114 FAIRFIELD CHEMICAL CARRIERS INC 21 RIVER ROAD,2ND FLOOR, CU Wilton 06897 US
115 EGRAIN AG HESSENSTRASSE 18 Hofheim 65719 DE
116 CHEMBULK OCEAN TRANSPORT LLC THE DELAMAR 175 RENNELL DRIVE , CU Southport 06890 US
117 FEFERMEX SA DE CV PREDIO ENCINO GORDO S/N, COSOLEACAQUE, VERACRUZ, CP 96340, MEXICO Veracruz CP 96340 MX
118 SOUTHERN PERU COPPER CORP AVENIDA, CAMINOS DEL LNCA 171, CHACARILLA DEL ESTANQUE, SURCO Lima 33 PE
119 K.N.D. LINE S.A. Monaco 0 MC
120 JUPITER DYECHEM PVT LTD. MITTAL COURT, A WING, OFFICE N° 92 & 93, 9TH FLOOR, NARIMAN POINT, MUMBAI 400 021, BRANCH OFFICE 138/2 VANMALA COMPOUND, VALEGAON, KHANDAGALE ESTATE, PURNA, BHIWANDI, DISTRICT THANE Mumbai 400-021 IN
121 TIMAC AGRO INDUSTRIA BRASIL AV. ALMIRANTE MAXIMIANO FONSECA 1550 KM 02, DIST. INDUSTRIAL 96204-040, RIO GRANDE, RS, BRASIL Rio Grande 96204-040 BR
122 SATCO SULPHURIC ACID 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
123 YAOKI SHIPPING S.A. NULL MC
124 HOPECHEM CO., LTD. (AGENT) ROOM 302, N° 233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, SHENZHEN, P. R. CHINA 518114 Shenzhen 518114 CN
125 CONS. DOMINICAN REPUBLIC Monaco NULL MC
126 BUNGE ARGENTINA S.A. 25 DE MAYO 501, 4TH FLOOR, C1002ABK BUENOS AIRES, ARGENTINA Buenos Aires C1002ABK AR
127 PISCES LINE SHIPPING S.A. Monaco 0 MC
128 TONGLING NONFERROUS METALS GROUP CO. LTD Room 308, 3rd Floor, Nonferrous Courtyard Business Building, Changjiang West Road, Tongling, Anhui Province Tongling 24400 CN
129 NAVQUIM SHIP MANAGEMENT 10th Floor, Tower C, Weena 242, Rotterdam 3012 NJ NL
130 ETI BAKIR A.S. ALTUNIZADE, KISIKLI CD. NO:37 Üsküdar-Istanbul 34662 TR
131 NEW SEAGULL SHIPPING S.A. Monaco 0 MC
132 NFC PUBLIC COMPANY LTD - SUNTAI 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
133 Asahi Tanker Co.,Ltd Hibiya-Daibiru 3F 2-2, Uchisaiwaicho 1-Chome, Chiyoda-Ku Tokyo 100-0011 JP
134 SGS ITALIA S.R.L. Monaco 0 MC
135 TATSUMI MARINE CO., LTD TATSUMI BLDG. 3RD FLOOR 3-8-7, ITABASHI, CHIYODA-KU, TOYKO 102-0072 Tokyo 102-0072 JP
136 S5 ASIA LIMITED (THAILAND) 21ST FLOOR, TIMES SQUARE BUILDING, 246 SUKHUMVIT ROAD, KLONGTOEY Bangkok 10110 TH
137 OCEAN STAR Monaco 0 MC
138 HICRI ERCILI DENIZCILIK AS Balikesir Asfalti Sag Taraf Caddesi, 72, 600 Evler Mah Bandirma 10200 TR
139 SUMITOMO CORPORATION ASIA KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297 Kuala Lumpur 50710 MY
140 YARA SWITZERLAND ROUTE DU FLORISSANT 13, 1206 GENEVA, SWITZERLAND Geneva 1206 CH
141 NEW GLORY SHIPPING S.A. Monaco 0 MC
142 UNI-TANKERS A/S Turbinevej 10 Middelfart 5500 DK
143 SACONIX LLC 560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA Rosswell GA 30075 US
144 PAN PACIFIC COPPER CO., LTD. 1-2 OHTEMACHI 1-CHOME, CHIYODA-KU, Tokyo 100-8147 JP
145 ZODIAC MARITIME LIMITED OF LONDON PORTMAN HOUSE, 2 PORTMAN STREET London W1H 6DU GB
146 UTKILEN A.S. Monaco 0 MC
147 ULTRATANK Monaco 0 MC
148 TIANJIN JIAHENGYUAN INTL TRADE CO.,LTD Monaco NULL CN
149 DUKSAN P&V CO LTD 2nd Floor, Dongailbo Building, 87, Jungang-daero, Jung-gu Busan 48929 KR
150 GOLDEN MERCURY MARITIME S.A. Monaco 0 MC
151 SUMITOMO CORPORATION THAILAND LTD. 20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN Bangkok 10330 TH
152 SUMITOMO CORPORATION INDIA PVT LTD OFFICE N° 1, UNIT B, 5TH FLOOR S-14, SOLITAIRE CORPORATE PARK 167, GURU HARGOBINDJI ROAD, CHAKALA, ANDHERI (EAST) Mumbai 400 093 IN
153 YOUNG POONG CORPORATION 555, SUKPO-RI, SUKPO-MYUN, BONGHWA-GUN Kyoungbuk 0 KR
154 BTS TANKERS PTE LTD Monaco 0 MC
155 STELLA TANKER PTE LTD 10 ANSON ROAD # 23-03 Singapore 079903 SG
156 GOLDEN DREAM MARITIME SA Monaco 0 MC
157 JAL KUMUD SHIPPING IFSC PVT Unit GA-20, Ground Floor, Pragya Accelerator Savvy Ats Group, Gift City, Gandhinagar, Gujarat 382355 IN
158 MANGALORE CHEMICALS UB TOWER, LEVEL 11, UB CITY, 24, VITTAL MALLYA ROAD, BENGALURU 560 001, INDIA Bengaluru 560 001 IN
159 TATSUMI SHOKAI CO. LTD (ONAHAMA) 312, ONAHAMA AZATAKAYAMA Iwaki City 0 JP
160 CHEMSEA SHIPPING COMPANY LIMITED Rm 1510 Wing Tuck CommCtr 177-183 Wing Lok St Hong Kong NULL HK
161 JEIL INTL CO LTD RM 301, 3F SAMJUNG ENTERPRISE B/D, 5, JUNGANG-DAERO 775 BEON-GIL, BUNSANJIN-GU Busan 0 KR
162 GLENCORE INTERNATIONAL AG BAARERMATTSTRASSE 3, P.O. BOX 1363, 6341 BAAR, SWITZERLAND Baar 6341 CH
163 MOL NORDIC TANKERS A/S Monaco 0 MC
164 ESSEX SHIPPING JUBILEE HOUSE, 3 THE DRIVE, GREAT WARLEY, BRENTWOOD ESSEX Brentwood CM13 3FR GB
165 BANDIRMA GÜBRE FABRIKALARI A.S (C ) SUSAM SOK. NO:22 Cihangir-Istanbul 34433 TR
166 SGS SWITZERLAND SA Monaco 0 MC
167 TOROS AGRI INDUSTRY AND TRADE CO., INC. (S) TEKFEN TOWER,4. LEVENT Istanbul 34394 TR
168 WOOJIN SHIPPING CO.,LTD KUNSHIN BLDG.NEW BLDGO #501, 16, SAMGAE-RO (250-4,DOHWA-DONG) MAPO-GU Seoul 0 KR
169 TRF SHIP MANAGEMENT AS Monaco 0 MC
170 AMERICAS EXPORT CORP. P.O. BOX 3067, WEST PALM BEACH, FL 33402, FLORIDA, UNITED STATES West Palm Beach FL 33402 US
171 QUANG BINH IMPORT AND EXPORT JOINT STOCK N° 23, BLOCK 01, AREA 97 BACH DANG, HA LY, HONG BANG DISTRICT, HAI PHONG CITY, VIETNAM Hai Phong 0 VN
172 GROUPE CHIMIQUE TUNISIEN 7, RUE DU ROYAUME D'ARABIE-SAOUDITE, 1002 TUNIS BELVEDERE, TUNISIA Tunis Belvedere 1002 TN
173 PARANAPANEMA S/A. (S) VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA Bahia CEP 42850-00 BR
174 NYRSTAR SALES & MARKETING AG TESSINERPLATZ 7 Zurich 8002 CH
175 IPRUDENTIAL SHIPPING AGENCY SERVICES INC 4TH FLOOR, KALAYAAN BLDG, SALCEDO CORNER DELA ROSA ST., LEGASPI VILLAGE, MAKATI VILLAGE, PHILIPPINES 1229 Makati Village 1229 PH
176 DAEHO SHIPPING CO LTD Room 203(woolim bldg) 19, Daepyeong-ro 28beon-gil, Yeongdo-gu, Busan, Korea NULL KR
177 SIETEMAR SA Monaco 0 MC
178 WALLEM Monaco 0 MC
179 BACONCO J-V COMPANY Monaco NULL MC
180 CORAL BAY NICKEL CORP. RIO TUBA EXPORT PROCESSING, ZONE RIO TUBA, BATARAZA, PALAWAN, PHILIPPINES 5306, TIN 005-961-540-00000 Palawan 5306 PH
181 ROSSING URANIUM PRIVATE BAG 5005, SWAKOPMUNG, NAMIBIA Swakopmung 0 NA
182 INCITEC LTD LEVEL 8, 28 SOUTHBANK BOULEVARD, SOUTHBANK, VICTORIA 3006, AUSTRALIA Victoria 3006 AU
183 TBD Supplier TBD Monaco TBD MC
184 SATCO - Tampa Terminal Tampa NULL US
185 NORFALCO LLC 100 KING STREET WEST, SUITE 6900, PO BOX 403, TORONTO, ON Toronto M5X 1E3 CA
186 INDIAN FARMERS FERTILIZER COOPERATIVE LTD PARADEEP UNIT, VILLAGE MUSADIA, P. O. PARADEEP, JAGATSINGHPUR, ORISSA - 754142, INDIA, GST N° 21AAAAI0050M2Z6 Orissa 754142 IN
187 SUMITOMO CORPORATION AFRICA (GHANA) SILVER STAR TOWER, 8TH FLOOR, AIRPORT CITY, 8TH FLOOR Accra 0 GH
188 SUMITOMO CORPORATION THAILAND 20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN Bangkok 10330 TH
189 ORION REEDEREI GMBH & CO KG Monaco 0 MC
190 SOCIEDAD CONTRACTUAL EL ABRA CAMINO CONCHI VIEJO S/N, KM 75, CALAMA, CHILE Calama 0 CL
191 POLYSERVE 22 SYRIA ST., MOHANDESIEEN, Giza 0 EG
192 MT MARITIME MANAGEMENT USA LLC Monaco 0 MC
193 SUN METALS CORPORATION PTY LTD 1 ZINC AVENUE STUART QLD STUART 4811 AU
194 SINOTRANS DONGWAN WAREHOUSE LOGISTICS CO.,LTD. ZHONGHUA RD, GANGKOU DISTRICT, FANGCHENGGANG Guangxi 0 CN
195 INTERNATIONAL COBALT CO P.O. BOX N° 7539, E. BAY STREET, NASSAU, BAHAMAS Nassau 0 BS
196 GULF AGENCY COMPANY LIMITED Monaco 0 MC
197 NIPPON MARINE CO. LTD Monaco 0 MC
198 Interacid Trading Chile Av. Isidora Goyenechea 3600, Of. 301 Santiago NULL CL
199 DORVAL SC TANKERS INC. 3RD FL KDX MONZENNAKACHO BLDG, 1-14-1, BOTAN, KOTO-KU Tokyo NULL JP
200 Interacid Trading SA Av. des Baumettes 5 Renens 1020 CH
201 BHP BILLITON CERRO EL PLOMO 6000, 18TH FLOOR, LAS CONDES, SANTIAGO, CHILE Santiago NULL CL
202 ENEOS OCEAN CORPORATION THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU Yokohama 220-8148 JP
203 SEATRANS MARINE PRIVATE LIMITED ABIR KUNJ, 158 RAJDANGA NABAPALLY Kolkata 700107 IN
204 MAC SHIPPING MANAGEMENT PTE hk Hong Kong NULL HK
205 NEXA RESOURCES CAJAMARQUILLA S.A. CAR. CENTRAL N° 9.5 CAJAMARQUILLA (CARR. CENTRAL KM 9.5 DESVIO A HUACHIPA), LIMA, LURIGANCHO Lurigancho 0 PE
206 SUMITOMO CORPORATION - ACIDS 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
207 OCEAN FAVOR SHIPPING (SHANGHAI) LTD ROOM 517 A BUILDING 3 NO 2588, SOUTH LIANHUA ROAD MINHANG DISTRICT Shanghai 0 CN
208 FUJI LAVA MARITIME LTD Monaco 0 MC
209 CENTRAL ROMANA CORP. LTD. C/O AMERICAS EXPORT COPR, P.O. BOX 3067, WEST PALM BEACH, FLORIDA 33401-3067 West Palm Beach 33401-3067 US
210 THE BTTCO OVERSEAS B-92, OM TOWERS, GHODA CAMP ROAD, SHAHIBAUG Ahmedabad 380 004 IN
211 BEYKIM DENIZCILIK GEMI IC Kapi 142, Blok 2, Maslak A Blok, AOS 55 Sokak, Maslak Mah, 42, SariyeR Istanbul NULL TR
212 YARA BRAZIL AV. ALMIRANTE MAXIMIANO FONSECA 2001, CEP 96204-040, RIO GRANDE, RS, BRASIL Rio Grande CEP 96204-040 BR
213 SAEHAN MARINE CO LTD (BUSAN) 12TH FLOOR, ANNJAY TOWER 208, TEHERAN-RO, GANGNAM-GU, SEOUL, 06220, KOREA Seoul 6220 KR
214 GOLDEN STENA BAYCREST TANKERS PTE LTD 108 PASIR PANJANG ROAD, #04-15 GOLDEN AGRI PLAZA Singapore 118535 SG
215 DUCGIANG CHEMICAL AND DETERGENT TANG LOONG INDUSTRIAL ZONE, TANG LOONG, BAO THANG, LAO CAI, VIETNAM Lao Cai NULL VN
216 VISIONCHEM #1515 SAMKOO BUILDING, 40 CHEONGPA-RO, YONGSAN-GU Seoul 4373 KR
217 Shandong Xiangying Chemical Import and Export CO.,LTD. 715, Tower A, world trade center, Yantai, Handong province, NULL CN
218 SUMITOMO MYANMAR #208~213, 2ND FLOOR, PRIME HILL BUSINESS SQUARE, NO.60 SHWE DAGON PAGODA ROAD, DAGON TOWNSHIP Yangon 0 MM
219 WILSON INTERNATIONAL TRADING PRIVATE LTD 8 Temasek Boulevard 17-02/03 Suntec Tower 3 Singapore 038988 SG
220 PANOLI INTERMEDIATES (INDIA) PVT. LTD. 'Sara Niwas', 20-21, Harinagar Co.Op. Society, Gotri Road Vadodara 39007 IN
221 DHL EXPESS Monaco NULL MC
222 HIBI KYODO SMELTING CO.,LTD. 1-11-1 OSAKI , SHINAGAWA-KU Tokyo 141-8584 JP
223 STERLITE INDUSTRIES SIPCOT INDUSTRIAL COMPLEX, MADURAI BYPASS ROAD, THOOTHUKUDI (TAMIL NADU) Tuticorin 628002 IN
224 TAIHEI KAIUN KK Monaco 0 MC
225 PT QMB NEW ENERGY MATERIALS Sopo Del Office Tower Lantai 22, Unit A, Jalan Mega Kuningan Barat III Lot 10.1-6 Kawasan Mega Kuningan, Kota Adm. Jakarta Selatan, Provinsi DKI Jakarta, Kode Pos: 12950, Indonesia Jakarta 12950 ID
226 GLENCORE HOLDING AG BAARERMATTSTRASSE 3, P.O. BOX 1363 Baar 6340 CH
227 SHANGHAI SUMITOMO CORPORATION CO.,LTD. 10F, SHANGHAI WORLD FINANCIAL CENTER, 100 CENTURY AVENUE, PUDONG NEW AREA Shanghai 200120 CN
228 INEOS SULPHUR CHEMICALS SPAIN, S.L.U. DIQUE DE ZIERBENA, MUELLE AZ-1 Zierbena-Bizkaia 48508 ES
229 CIECH S.A UL. WSPOLNA Warsaw 00-684 PL
230 SUMITOMO AUSTRALIA LEVEL 21, 101 COLLINS STREET, MELBOURNE VIC 3000, AUSTRALIA Melbourne VIC 3000 AU
231 GOLDEN JUPITER NAVIGATION S.A. Monaco 0 MC
232 Agrifields DMCC, Dubai 3201, JBC4, Cluster N, Jumeirah Lake Towers Dubai NULL AE
233 CVCI AVENUE D'OUCHY 47, 1006 LAUSANNE, SWITZERLAND Lausanne CH-1006 CH
234 PAN OCEAN CO., LTD Tower 8, 7, Jong-ro 5-Gil, Jongro-Gu, Seoul, Korea (Rep of) Korea, Republic Of Seoul NULL KR
235 SGS-CSTC STANDARDS TECNICAL SERVICES CO. LTD Monaco 0 MC
236 SINOCHEM INTERNATIONAL CORP. Monaco 0 MC
237 INFICESS SHIPPING CO., LTD. Monaco 0 MC
238 SUMITOMO CORPORATION VIETNAM LLC (HA) 9TH FLOOR, CORNERSTONE BLDG, 16 PHAN CHU TRINH STREET, HOAN, KIEM DISTRICT Hanoi 0 VN
239 SUMITOMO CORPORATION - NO OR LIMITED COMMISSION 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
240 SEASTAR MARITIME CO. LTD Room 2112, Techno-Mart 21 Bldg, 85 Gwangnaru-Ro 56 Gil, Gwangjin-Gu Seoul NULL KR
241 NFC PUBLIC COMPANY LTD - MAHACHAI 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
242 INTERACID TRADING (CHILE) S.A. ISIDORA GOYENECHEA NR. 3600 - OFFICE 301 LAS CONDES Santiago CL
243 J.M. BAXI & CO GODREJ COLISEUM, 8TH FLOOR, 801-C WING, EVERARD NAGAR, SION (EAST), Mumbai 400022 IN
244 KONA MARITIME S.A. Monaco 0 MC
245 NewChem Consulting AG Waldeggweg 6A 6318 Walchwil Switzerland Walchwil 6318 CH
246 TAGANITO HPAL NICKEL CORPORATION TAGANITO SPECIAL ECONOMIC ZONE (TSEZ) BARANGAY TAGANITO, CLAVER, SURIGAO DEL NORTE, PHILIPPINES 8410 Surigao Del Norte 8410 PH
247 KHANG TRUNG HIEU CO. LTD N° 12/17, VO THI SAU STREET, QUYET THANG WARD, BIEN HOA CITY, DONG NAI PROVINCE, VIETNAM Dong Nai Province 0 VN
248 INFICESS SHIPPING CO. LTD. Monaco 0 MC
249 SRF LIMITED D II/I, GIDC PCPIR, GIDC PHASE II, TAL VAGRA, VILLAGE DAHEJ, BHARUCH, GUJARAT 392130, INDIA Gujarat 392130 IN
250 FLYTE YANGON SA 23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este Panama City NULL PA
251 ASIA CHEMICAL TANKER ALLIANCE PTE LTD 6 Temasek Boulevard #44-01 Suntec Tower Four Singapore 038986 SG
252 TATSUMI SHOKAI (NAOSHIMA/HIBI) TATSUMI SHOKAI BLDG 3FL 4-1-1, CHIKKO, MINATO-KU Osaka 552-0021 JP
253 COROMANDEL INTERNATIONAL LTD COROMANDEL HOUSE, 1-2-10, SARDAR PATEL ROAD, SECUNDERABAD, 500003, INDIA Secunderabad 50003 IN
254 GLENCORE CHILE SPA AV. COSTANERA SUR 2730 OF. 1701, PISO 17, LAS CONDES, SANTIAGO, CHILE Santiago 0 CL
255 NIPPON MARINE CO LTD 966-15 OITA CITY Saganoseki 879-2201 JP
256 SGS ESPANOLA DE CONTROL Monaco 0 MC
257 LISBON SHIPPING LTD Room 550, 5th Floor, Zonghe Lou, 385, Chaoyangshan Lu, Huangdao Qu, Qingdao Qingdao 266400 CN
258 FEDERAL EXPRESS (FEDEX/TNT) Monaco NULL MC
259 SAI SULPHONATES PCT LTD 21, C. R. AVENUE, WHITE HOUSE, 2ND FLOOR, 700 072 KOLKATA, INDIA Kolkata 700 072 IN
260 MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE 5 SHENTON WAY, #15-01 Singapore 068808 SG
261 SONGA SHIPMANAGMENT LTD Monaco 0 MC
262 NORTON LILLY INTERNATIONAL 433 CALIFORNIA ST San Francisco 94104 US
263 Xingtong Shipping (Singapore) Pte Ltd TEMASEK BOULEVARD #24-05 SUNTEC TOWER FOUR SINGAPORE Tel: +65 9298398 Email: chartering@xtshipping.com Singapore 038986 SG
264 GUJARAT FLUOROCHEMICALS LIMITED ABS TOWERS, 2ND FLOOR, OLD PADRA ROAD, VADODARA 390007, GUJARAT, INDIA Vadodara 390007 IN
265 CELSIUS SHIPPING APS Monaco 0 MC
266 JEIL INTERNATIONAL CO. LTD. Monaco 0 MC
267 TIMAC AGRO IRELAND LIMITED 4 & 5, PRIORITY COURT THE QUAY, NEW ROSS, CO WEXFORD, IRELAND Wexford Y34 HV25 IE
268 SUMITOMO CORPORATION ASIA & OCEANIA 35TH FLOOR UBN TOWER, 10 JALAN P RAMLEE Kuala Lumpur 50250 MY
269 INTERACID NORTH AMERICA, INC (Beaumont) 560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA Roswell 30075 US
270 NFC PUBLIC COMPANY LTD - UCHA 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
271 NUOVA SOLMINE S.P.A. VIA NUOVA VIGNOLE 38 Serravalle Scrivia AL 15069 IT
272 LUMUT VENTURE SDN BHD Monaco 0 MC
273 CONE SUL AGENCIA DE NAVEGACAO LTDA Monaco NULL MC
274 SUMITOMO CORPORATION (SHANGHAI) LTD 10F,Shanghai World Financial Center,100 Century Avenue, Pudong New Area, Shanghai Shanghai NULL CN
275 MITSUBISHI MATERIALS CORPORATION METALS COMPANY 11F KEIDANRENKAIKAN, 1-3-2,OHTEMACHI,CHIYODA-KU Tokyo 100-8117 JP
276 CREDIT SUISSE (SWITZERLAND) SA 1201 Geneva Geneva NULL CH
277 INTERACID NORTH AMERICA, INC (Tampa) 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
278 PT PUPUK ISKANDAR MUDA (PIM) JL. MEDAN - BANDA ACEH PO BOX 21 NULL ID
279 FURUKAWA METALS & RESOURCES CO., LTD. 2-3 MARUNOUCHI, 2 - CHOME, CHIYODA-KU Tokyo 0 JP
280 SUNWOO TANKER CO. LTD, KOREA MI-WON BLDG ROOM 1702, 70 GUKJEGEUMYUNG-RO, YEONGDEUNGPO-GU Seoul NULL KR
281 SATCO SULPHURIC ACID WC 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Stockton 33610 US
282 SUMITOMO CORPORATION VIETNAM LLC (HM) LANDMARK BUILDING, 6TH FLOOR, 5B TON DUC THANG, BEN NGHE WARD, DISTRICT 1, Ho Chi Minh 0 VN
283 ODFJELL TANKERS AS CONRAD MOHRS VEG 29 Bergen 5072 NO
284 SUMITOMO METAL MINING CO., LTD. 3-5-3, NISHIBARA-CHO, NIIHAMA EHIME 792-8555 JP
285 GANSU YONGQI INDUSTRY AND TRADE. CO. (S) NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, GANSU PROVINCE, Jinchang City 0 CN
286 UPS UNITED PARCEL SERVICE (SCHWEIZ) AG Monaco 0 MC
287 HANSA TANKERS AS OF BERGEN KALFARVEIEN 57A Bergen 5022 NO
288 SC SHIPPING SINGAPORE PTE LTD Monaco 0 MC
289 FOSPHORY SP Z.O.O IL. KUJAWSKA 2 Gdansk 80-550 PL
290 VELOCITE SARL RUE DR CESAR-ROUX 29, 1003 LAUSANNE, SWITZERLAND Lausanne 1003 CH
291 TACHIBANAYA CO. LTD. Monaco 0 MC
292 SUMITOMO CORPORATION TAIWAN LTD SUMITOMO-FLYSUN BLDG. 8TH FL., NO. 260, TUN HWA N. ROAD Taipei NULL TW
293 TAIKO MARKETING SDN B2-6-01, BLOK B2, MERITUS @ OASIS CORPORATE N° 2, JALAN PJU 1A/2, ARA DAMANSARA, 47301 PETALING JAYA, SELANGOR, MALAYSIA Petaling Jaya 47301 MY
294 SAEHAN MARINE CO, LTD (MARINE) 10 ANSON ROAD #26-02 INTERNATIONAL PLAZA Singapore 79903 SG
295 DILMAS CO LTD ul Pogranichnaya 72, Nakhodka, Primorskiy kray, 692910, Russia. Primorsk 692910 RU
296 SAYBOLT POLAND SP. Z O.O. 1 PODLASKA STR. Gdynia 81-325 PL
297 AKR SEA TRANSPORT PT Lot 7, Wisma AKR, Jalan Panjang 5, Kec Kebon Jeruk Jakarta 11530 ID
298 NAVIG8 CHEMICAL POOLS INC. 3 TEMASEK AVENUE, #25-01 CENTINNIAL TOWER Singapore 039190 SG
299 RAETSMARINE INSURANCE B.V. Monaco 0 MC
300 AR SAVAGE AND SON 202 SOUTH ROME AVE, SUITE 200 Tampa 33606 US
301 MARCOBRE S.A.C. Giovanni Batista Lorenzo Bernini 149, Piso 3, Oficina 301, San Borja, Lima, Peru Lima NULL PE
302 LS-NIKKO COPPER INC. 15FI., (LS YONGSAN TOWER), 92, HANGANG-DAERO, YONSAN-GU Seoul 4386 KR
303 JLS MONKEY CO LTD Workshop B, 3rd Floor, Manning Industrial Building, 116-118, How Ming Street, Kwun Tong, Kowloon Hong Kong NULL CN
304 SUMITOMO CORPORATION - FURUKAWA 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
305 CHEMMASTER TANKERS COMPANY LIMITED Room 1510,wing Tuck Commerical Centre, 177-183 Wing Lok Street Hong Kong NULL HK
306 BTM MUFG Bank Ltd Ropemaker Place, 25 Ropemaker Street London EC2Y 9AN, United Kingdom London EC2Y 9AN GB
307 PT PETROKIMIA (PKG) JI. JEND. AHMAD YANI, GRESIK 61119 Gresik 61119 ID
308 Sulfuric Acid Trading Company , Inc (SATCO) 3710 Corporex Park Drive - Suite 205 Tampa NULL US
309 TWO LIONS ZHANGJIAGANG DONGHUA ROAD YANGTZE RIVER INTERNATIONAL CHEMICAL INDUSTRIAL PARK Zhangjiagang 0 CN
310 ACE TANKERS MANAGEMENT B.V. STRAWINSKYLAAN 1057 Amsterdam STRAWINSKYLAAN 1057 NL
311 PHILIPPINE ASSOCIATED SMELTING AND REFINING CORP. LEYTE INDUSTRIAL DEVELOPMENT ESTATE, ISABEL Leyte 0 PH
312 SC SHIPPING SINGAPORE PTE LTD 6 Temasek Blvd #22/04-05 Suntec Tower 4 Singapore 038986 SG
313 TBD Shipowner TBD Monaco TBD MC
314 HICRI ERCILI 600 EVLER MAHALLESI BALIKESIR ASFALTI SAĞ TARAF NO: 72 Bandirma 10200 TR
315 BARWIL AGENCIES LTD Monaco NULL MC
316 FERTILORE SAS 40 TER AVENUE DE SUFFREN, 75015 PARIS, FRANCE Paris 75015 FR
317 FLYTE MANILA SA 23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este Panama City NULL PA
318 BOLIDEN MINERAL AB Skelleftehamn 932 81 SE
319 SHOKUYU TANKER CO. LTD. Monaco 0 MC
320 ATLANTIC COPPER P° DE LA CASTELLANA, 95 - 21ST FLOOR Madrid 28046 ES
321 MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE 5 SHENTON WAY, #15-01 Singapore 068808 SG
322 TATSUMI MARINE (S) PTE LTD Singapore NULL SG
323 SUMITOMO CORPORATION DIS TICARET A.S. Ferko Plaza, Esentepe district, Büyükdere Street No.175, A Blok 20th Floor, Şişli Istanbul NULL TR
324 Scrap Co. Ltd Blvd des Moulins Monaco NULL MC
325 FOCUS SHIPPING CO.,LTD 12/F 3 LOCKHART RD. WANCHAI Hong Kong 0 HK
326 NAMHAE CHEMICAL CORP 1506, 17, Seobinggo-ro, Yongsan-gu Seoul 04387 KR
327 SHANGHAI ORIENT INTERTEK TESTING SERVICES CO. Monaco 0 MC
328 MARNAVI SHIPPING MANAGEMENT PVT LTD Monaco 0 MC
329 SGS TESTING KOREA CO. LTD. Monaco 0 MC
330 FERALCO (UK) LTD DITTON ROAD, WIDNES, CHESHIRE WA 8 OPH, ENGLAND Cheshire WA 8 OPH GB
331 ACE QUANTUM CHEMICAL TANKERS CV Monaco 0 MC
332 HONGKONG ZHOUSHAN YIHAI SHIPPING CO. LTD. Monaco 0 MC
333 AET SHIP MANAGEMENT (M) SDN. BHD. Monaco 0 MC
334 NFC PUBLIC COMPANY LTD - PROMMITR 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
335 SUMIMA SDN BHD Monaco 0 MC
336 TOROS AGRI INDUSTRY AND TRADE CO, INC. (C ) TEKFEN TOWER,4. LEVENT Istanbul 34394 TR
337 TRICON ENERGY, LTD 1500 Post Oak Blvd., 18th Floor, Houston, Texas 77056 USA Houston 77056 US
338 HUTAMA TRANS KONTINENTAL PT Lantai 26, Mangkuluhur City Tower One, Jalan Jendral Gatot Subroto Kav 1-3, Kel Karet Semanggi Jakarta 12930 ID
339 GRACEFUL STAR SHIPPING CO LTD Room 2109, 21st Floor, C C Wu Building, 302-308, Hennessy Road, Wan Chai, Hong Kong, China. Hong Kong NULL CN
340 MAADEN PHOSPHATE COMPANY P.O. Box 11110, Ras Al Khair, Industrial City Jubail 31961 SA
341 SUMITOMO CORP. ASIA KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297, 50710 KUALA LUMPUR, MALAYSIA Kuala Lumpur 50710 MY
342 COOGEE CHEMICALS PTY LTD CNR PATTERSON & KIWANA BEACH ROADS, KWINANA, P.O. BOX 5051 ROCKINGHAM BEACH, WA 6969, AUSTRALIA Brand 6969 AU
343 MAKINO KAIUN CO LTD & MAKI OCEAN SHIPPING SA Monaco 0 MC
344 PROCYON SHIPPING S.A. Monaco 0 MC
345 VENATOR ASIA SDN BHD (EX HUNTSMAN) KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA Kemaman 24000 MY
346 WOMAR LOGISTICS PTE LTD 8 TEAMASEK BOULEVARD, #22-06, SUNTEC TOWER 3 Singapore 038988 SG
347 EASTERN TANKERS CO. LTD. Monaco 0 MC
348 AS INVENTOR SHIPPING Monaco 0 MC
349 HICRI ERCILI DENIZCILIK AS Monaco 0 MC
350 BAO PHUNG COMPANY Monaco NULL MC
351 CIE MARITIME BELGE SA Monaco 0 MC
352 Accounting Matching internal NULL CH
353 IND-AUST MARITIME PVT LTD 715, JK Chambers, Sector 17, Vashi, Navi Mumbai, Maharashtra 400703 IN
354 SAG Surveyors Alliance Group Calle Bolívar 472 Of 705, Miraflores – Lima 18, Perú Lima 0 PE
355 STAINLESS TANKERS INC C/O WOMAR LOGISTICS PTE LTD Monaco 0 MC
356 HINDALCO INDUSTRIES LTD P.O. DAHEJ, DIST : BHARUCH, PIN CODE Gujarat 392 130 IN
357 INCHCAPE SHIPPING SERVICES (JAPAN) LTD. HAMAMATSUCHO BLDG. 6F, 1-1-1, SHIBAURA, MINATO-KU Tokyo 105-0023 JP
358 GOLDEN FORTUNE SHIPHOLDING S.A. Monaco 0 MC
359 SU NAVIGATION PTE. LTD 200 CANTONMENT ROAD, #14-04 SOUTHPOINT, Singapore 089763 SG
360 PEREZ Y CIA MADRID FORTUNY 9 Madrid 28010 ES
361 INTER QUIMICA S.A. AV. SAN MARTIN 209, EDIF. JARABA IMPORT, SANTO DOMINGO, DOMINICAN REPUBLIC Santo Domingo 0 DO
362 B&M AGENCIA MARITIMA S.A. AVENIDA ANDALICAN 881 Mejillones NULL CL
363 PROQUIGEL QUIMICA S.A. FAZENDA CAROBA S/N, 43.813-300 CANDEIAS, BA, BRASIL Candeias 43.813-300 BR
364 SUMITOMO CORPORATION MANILA Manila 0 PH
365 TIOXIDE (MALAYSIA) SDN BHD KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA Terengganu 24007 MY
366 DAITOH TRADING CO. LTD. Monaco 0 MC
367 TBD Customer TBD Monaco TBD MC
368 BETTY MILD MARITIME S.A Monaco 0 MC
369 IINO KAIUN KAISHA LTD OF TOKYO. IINO BUILDING, 2-1-1 UCHISAIWAICHO, CHIYODA-KU Tokyo 100-0011 JP
370 IINO SINGAPORE PTE. LTD 168 ROBINSON ROAD #13-02 CAPITAL TOWER Singapore 068912 SG
371 JINLONG COPPER CO., LTD 1, Jinshan West Road Tongling Anhui 244021 CN
372 MOSAIC FERTILIZANTES BRAZIL AV. ROQUE PETRONI JUNIOR 999, 14° ANDAR BROOKLYN, CEP 04707-910 SAO PAULO, BRAZIL Sao Paulo CEP 04707-910 BR

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source_id,source_line_id,number,reference,our_reference,party_name,currency_code,purchase_date,payment_term,warehouse_code,weight_basis,tol_min_pct,tol_max_pct,tol_min_qty,tol_max_qty,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,origin,line_quantity,line_unit_code,line_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date,trader,operator,concentration,book,strategy,period_at,demurrage,laytime_hours,nor_extra_hours,pumping_rate,use_only_min_max,drop_remaining_quantity
C00E4A1E-4743-4C73-8F92-FEA123D2DCCE,C00E4A1E-4743-4C73-8F92-FEA123D2DCCE,1761,24972A,S24.025,SUMITOMO CORPORATION - MMC,USD,5/15/2024,NET 30,,NCSW,0,0,5000,5000,Onahama,Map Ta Phut,FOB,manual,,1761 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,33.36,5000 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
A65BA960-E7EC-44FD-A945-8554C8D9B89B,A65BA960-E7EC-44FD-A945-8554C8D9B89B,1849,24976,P25.001,ATLANTIC COPPER ,USD,11/1/2024,NET ,,NCSW,5,5,18050,19950,Huelva,Tampa,FOB,manual,,1849 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,95,19000 Mt of sulphuric acid - Tel-quel,4/15/2025,4/21/2025,bldate,4/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
D890D3AF-EB6C-4B06-9F20-E8C92D2514D1,D890D3AF-EB6C-4B06-9F20-E8C92D2514D1,1866,24977,P25.004/1 & P25.012,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,NCSW,5.08,5.08,14000,15500,Callao,Mejillones,CIF,manual,,1866 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14750,Mt,148.17,14750 Mt of sulphuric acid - Tel-quel,4/18/2025,4/28/2025,bldate,4/18/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
0ED2A6A8-16DD-4CD5-8114-EEE96F711225,0ED2A6A8-16DD-4CD5-8114-EEE96F711225,1867,24991,P25.004/2,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,NCSW,5.08,5.08,14000,15500,Callao,Mejillones,CIF,manual,,1867 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,7/1/2025,7/10/2025,bldate,7/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
AA9BF6DB-3C96-491D-B0E8-3C22C3FE13BB,AA9BF6DB-3C96-491D-B0E8-3C22C3FE13BB,1868,25000,P25.004/3,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 15,,NCSW,5.08,5.08,14000,15500,Callao,Mejillones,CIF,manual,,1868 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,8/20/2025,8/30/2025,bldate,8/20/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
7F86EA2E-2409-4A59-A09E-0B3B0B3C0FFE,7F86EA2E-2409-4A59-A09E-0B3B0B3C0FFE,1869,25016,P25.004/4,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,NCSW,5.08,5.08,14000,15500,Callao,Mejillones,CIP,manual,,1869 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,12/3/2025,12/13/2025,bldate,12/3/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
3B181AD5-AEF1-4DD1-B3BF-835DCAA3B460,3B181AD5-AEF1-4DD1-B3BF-835DCAA3B460,1876,24971AB,P25.005 - 120kt,JINCHUAN,USD,12/5/2024,NET ,,NCSW,10,10,27000,33000,Fangcheng,Mejillones,FOB,manual,,1876 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,40,30000 Mt of sulphuric acid - Tel-quel,4/13/2025,5/2/2025,bldate,4/13/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,0,1
87D65A8B-E366-4F61-A684-F16A9E380D6D,87D65A8B-E366-4F61-A684-F16A9E380D6D,1877,24986ABC,P25.005 - 120kt,JINCHUAN,USD,12/5/2024,LC 30 DAYS,,NCSW,10,10,27000,33000,Fangcheng,Mejillones,FOB,manual,,1877 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,40,30000 Mt of sulphuric acid - Tel-quel,7/5/2025,7/16/2025,bldate,7/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,0,1
F1B16A79-23DE-4BC3-AA05-98FF85120CE2,F1B16A79-23DE-4BC3-AA05-98FF85120CE2,1878,25020ABC,P25.005 - 120kt,JINCHUAN,USD,12/5/2024,NET ,,NCSW,0,0,27000,27000,Fangcheng,Mejillones,FOB,manual,,1878 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,27000,Mt,40,27000 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,1,1
0079657A-2247-4D04-98F5-B111191D935A,0079657A-2247-4D04-98F5-B111191D935A,1881,24970,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,1881 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
FCB43E88-A643-422B-95B6-B68CE61C4015,FCB43E88-A643-422B-95B6-B68CE61C4015,1883,24979,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,1883 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,5/18/2025,5/31/2025,bldate,5/18/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
E5E96218-48BA-46E5-99C8-9E4086AF12A5,E5E96218-48BA-46E5-99C8-9E4086AF12A5,1885,24985,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,1885 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,6/15/2025,6/30/2025,bldate,6/17/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
AA912607-7B83-4DAC-A4EE-E9F24F55B58E,AA912607-7B83-4DAC-A4EE-E9F24F55B58E,1887,24996,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Hibi,Stockton,FOB,manual,,1887 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,8/15/2025,8/29/2025,bldate,8/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
EC24CFB1-7260-4963-A452-F9B4FA60CC0C,EC24CFB1-7260-4963-A452-F9B4FA60CC0C,1889,24989,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Hibi,Stockton,FOB,manual,,1889 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,7/12/2025,7/25/2025,bldate,7/12/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
E7B7D5E1-72E1-490B-85BE-13BC3849ECC2,E7B7D5E1-72E1-490B-85BE-13BC3849ECC2,1891,24999,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Hibi,Stockton,FOB,manual,,1891 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,9/7/2025,9/22/2025,bldate,9/7/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
A547D4C5-F163-4B27-9A88-F66175AEF3E6,A547D4C5-F163-4B27-9A88-F66175AEF3E6,1893,25003,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,1893 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,72,20000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
14292C24-948C-4E7A-8E9C-85F9A0890877,14292C24-948C-4E7A-8E9C-85F9A0890877,1895,25008,P25.006,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET ,,NCSW,10,10,18000,22000,Hibi,Stockton,FOB,manual,,1895 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,64,20000 Mt of sulphuric acid - Tel-quel,11/1/2025,11/30/2025,bldate,11/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
694E3179-4DC2-4C9B-B3D3-B436BA304F28,694E3179-4DC2-4C9B-B3D3-B436BA304F28,1904,24990AB,P25.009 - 60kt,JINCHUAN,USD,12/16/2024,NET ,,NCSW,10,10,27000,33000,Fangcheng,Mejillones,FOB,manual,,1904 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,35,30000 Mt of sulphuric acid - Tel-quel,9/10/2025,9/30/2025,bldate,9/10/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,0,1
EA973053-2D21-4D6C-915D-0212F9C92E94,EA973053-2D21-4D6C-915D-0212F9C92E94,1912,24975,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET ,,NCSW,10,10,9000,11000,Rugao,Isabel,FOB,manual,,1912 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,65.63,10000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/7/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
24306B99-A9C3-4E9D-9961-2E2B98C515AB,24306B99-A9C3-4E9D-9961-2E2B98C515AB,1913,24987,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET ,,NCSW,0,10,10000,11000,YIZHENG,Gladstone,FOB,manual,,1913 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,73.5,10000 Mt of sulphuric acid - Tel-quel,6/8/2025,6/18/2025,bldate,6/8/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
446ABDCD-C09A-4911-88D3-4CD8BDECBBF9,446ABDCD-C09A-4911-88D3-4CD8BDECBBF9,1914,24992,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,NCSW,10,10,9000,11000,Rugao,Tuticorin,FOB,manual,,1914 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,86.5,10000 Mt of sulphuric acid - Tel-quel,7/18/2025,7/30/2025,bldate,7/18/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
38B61B69-789C-4D9A-8A37-1B475BE69C50,38B61B69-789C-4D9A-8A37-1B475BE69C50,1915,24992,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,LC 30 DAYS,,NCSW,10,10,9000,11000,Rugao,Tuticorin,FOB,manual,,1915 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,91.19,10000 Mt of sulphuric acid - Tel-quel,7/18/2025,7/30/2025,bldate,7/18/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
169FEC9E-34DD-488E-9323-7EBE720A641F,169FEC9E-34DD-488E-9323-7EBE720A641F,1916,25006,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET ,,NCSW,5,5,9500,10500,Rugao,Isabel,FOB,manual,,1916 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,91.81,10000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
F14935F1-2D50-4167-9823-2DA248C23D7C,F14935F1-2D50-4167-9823-2DA248C23D7C,1917,25022A,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET ,,NCSW,22.58,22.58,6000,9500,YIZHENG,Visakhapatnam,FOB,manual,,1917 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,7750,Mt,77.31,7750 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,1,1
2A9D4883-8822-467D-8C1E-30ECC64C7000,2A9D4883-8822-467D-8C1E-30ECC64C7000,1919,24980ABC,P25.008,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET ,,NCSW,10,10,27000,33000,YIZHENG,Mejillones,FOB,manual,,1919 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,73.63,30000 Mt of sulphuric acid - Tel-quel,5/30/2025,6/15/2025,bldate,6/2/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
A7285649-0E96-4640-A23B-1876E403F95E,A7285649-0E96-4640-A23B-1876E403F95E,1920,24994,P25.008,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET ,,NCSW,10,10,18000,22000,YIZHENG,Tuticorin,FOB,manual,,1920 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,20000,Mt,92.94,20000 Mt of sulphuric acid - Tel-quel,8/16/2025,8/28/2025,bldate,8/16/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
66B2E095-336E-416C-AA63-55BDAAFAEE2C,66B2E095-336E-416C-AA63-55BDAAFAEE2C,1921,25001ABCD,P25.008,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET ,,NCSW,10,10,27000,33000,Rugao,Mejillones,FOB,manual,,1921 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,73.125,30000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
ADB3789C-0844-46D8-B24C-B92A5DCEF5D0,ADB3789C-0844-46D8-B24C-B92A5DCEF5D0,1925,24988,P25.010,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,NCSW,5.26,5.26,18000,20000,Pori,,FOB,manual,,1925 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19000,Mt,84.57,19000 Mt of sulphuric acid - 100%,6/25/2025,7/4/2025,bldate,6/25/2025,Jeremie Collot, ,100,H2SO4 FY 2025,Default,Laycan,,0,6,550,1,1
C7B91036-E67E-49FA-AD5B-BBC5DA64E89F,C7B91036-E67E-49FA-AD5B-BBC5DA64E89F,1926,24997AB,P25.010,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,NCSW,5.26,5.26,18000,20000,Ronnskar,Beaumont,FOB,manual,,1926 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19000,Mt,88.91,19000 Mt of sulphuric acid - Tel-quel,8/22/2025,9/4/2025,bldate,9/3/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,550,1,1
8C22A21C-C3D8-4C09-9440-274E0546196D,8C22A21C-C3D8-4C09-9440-274E0546196D,1928,25011ABCDE,P25.010,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,NCSW,5.26,5.26,18000,20000,Pori,Mejillones,FOB,manual,,1928 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,19000,Mt,63.49,19000 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,550,1,1
23734B0E-5AC0-4364-8CBA-58505E3B33A1,23734B0E-5AC0-4364-8CBA-58505E3B33A1,1929,25005,P25.010,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET ,,NCSW,3.9,3.9,18500,20000,Ronnskar,Beaumont,FOB,manual,,1929 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19250,Mt,74.56,19250 Mt of sulphuric acid - Tel-quel,10/11/2025,10/20/2025,bldate,10/11/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,550,1,1
EB9CBF03-3B8E-4453-B6DB-1A234C1C8D4E,EB9CBF03-3B8E-4453-B6DB-1A234C1C8D4E,1933,24984,,SUMITOMO CORPORATION - PPC,USD,1/6/2025,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Tuticorin,FOB,manual,,1933 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,42,20000 Mt of sulphuric acid - Tel-quel,6/9/2025,6/19/2025,bldate,6/12/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
E139786E-55C2-46AF-B4FA-0FB613FD14CD,E139786E-55C2-46AF-B4FA-0FB613FD14CD,1937,24983,P25.008,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,1/10/2025,NET ,,NCSW,3.3,3.3,11000,11750,YIZHENG,,FOB,manual,,1937 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,11375,Mt,72.19,11375 Mt of sulphuric acid - Tel-quel,5/15/2025,5/25/2025,bldate,5/15/2025,Stephane Monnard,Oliver Gysler,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,1,1
C5047512-8D3A-4D0C-9187-51F361E8031F,C5047512-8D3A-4D0C-9187-51F361E8031F,1944,24974AB,P25.013,"TRICON ENERGY, LTD",USD,1/31/2025,NET 30,,NCSW,10.71,10.71,12500,15500,Ilo,Mejillones,CFR,manual,,1944 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14000,Mt,145.75,14000 Mt of sulphuric acid - Tel-quel,5/5/2025,5/11/2025,bldate,5/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
A78EF4D1-3579-4F0E-ABF6-484550F4361F,A78EF4D1-3579-4F0E-ABF6-484550F4361F,1949,24972B,S24.025,SUMITOMO CORPORATION - MMC,USD,2/26/2025,NET ,,NCSW,0,0,2700,2700,Onahama,Samut Prakan,FOB,manual,,1949 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2700,Mt,33.36,2700 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
730B0B84-3980-4A56-B259-BC24C3BE0766,730B0B84-3980-4A56-B259-BC24C3BE0766,1956,25002,P25.009 - 60kt,JINCHUAN,USD,3/19/2025,NET ,,NCSW,10,10,27000,33000,Fangcheng,Tuticorin,FOB,manual,,1956 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,30000,Mt,35,30000 Mt of sulphuric acid - Tel-quel,10/10/2025,10/30/2025,bldate,10/26/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,9,350,0,1
4B20B434-6B9D-4A57-BFC2-2FD4EBB71919,4B20B434-6B9D-4A57-BFC2-2FD4EBB71919,1957,24981,P25.014,HEXAGON GROUP AG,USD,3/21/2025,NET ,,NCSW,22.33,22.33,10000,15750,Rugao,Mejillones,CFR,manual,,1957 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,,12875,Mt,156,12875 Mt of sulphuric acid - Tel-quel,4/28/2025,5/7/2025,bldate,5/1/2025,Jeremie Collot,Gregory Gondeau,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
1B11F28C-7AC5-4C89-8444-8E38D04A07C6,1B11F28C-7AC5-4C89-8444-8E38D04A07C6,1959,24978,P25.015,"TRICON ENERGY, LTD",USD,3/28/2025,NET ,,NCSW,10,10,17100,20900,Bandirma,Beaumont,CFR,manual,,1959 / H2SO4 FY 2025 / Default,line,H2SO4-Turkey,Turkey,19000,Mt,138.9,19000 Mt of sulphuric acid - Tel-quel,4/28/2025,5/8/2025,bldate,5/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
C7E0CFA0-05C9-441C-975F-EFABDDD93198,C7E0CFA0-05C9-441C-975F-EFABDDD93198,1962,24973B,P25.004/1,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,4/2/2025,NET ,,NCSW,0,0,20,20,Callao,Mejillones,CIF,manual,,1962 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,20,Mt,155,20 Mt of sulphuric acid - Tel-quel,3/20/2025,4/4/2025,bldate,4/3/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
4412C861-90D3-43D2-B37A-A4BD54DB7416,4412C861-90D3-43D2-B37A-A4BD54DB7416,1970,24982/B,S24.025,SUMITOMO CORPORATION - MMC,USD,4/17/2025,NET 7,,NCSW,0,0,2350,2350,Onahama,Samut Prakan,FOB,manual,,1970 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2350,Mt,45.25,2350 Mt of sulphuric acid - Tel-quel,5/9/2025,5/16/2025,bldate,5/9/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,0,300,1,1
23B0BD08-70B2-476F-B9E2-A272FAE41199,23B0BD08-70B2-476F-B9E2-A272FAE41199,1972,24982/A,S24.025,SUMITOMO CORPORATION - MMC,USD,4/17/2025,NET ,,NCSW,0,0,5000,5000,Onahama,Map Ta Phut,FOB,manual,,1972 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,45.25,5000 Mt of sulphuric acid - Tel-quel,5/9/2025,5/16/2025,bldate,5/9/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,0,300,1,1
9B44DBC7-6AC0-4D07-A413-A0FB29DF03ED,9B44DBC7-6AC0-4D07-A413-A0FB29DF03ED,1986,24993,P25.017,"TRICON ENERGY, LTD",USD,6/19/2025,NET ,,NCSW,10,10,4950,6050,Onsan,Mejillones,CFR,manual,,1986 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-South Korea,South Korea,5500,Mt,169,5500 Mt of sulphuric acid - Tel-quel,8/7/2025,8/15/2025,bldate,8/7/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
85206D6D-4FDD-4D89-BF1F-301EC6CD73F9,85206D6D-4FDD-4D89-BF1F-301EC6CD73F9,1987,25009,P25.008,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,6/24/2025,NET ,,NCSW,10,10,7200,8800,Rugao,LHOKSEUMAWE,FOB,manual,,1987 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,8000,Mt,77.31,8000 Mt of sulphuric acid - Tel-quel,11/5/2025,11/11/2025,bldate,11/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
D49AC946-9F56-4B82-A3A1-2D49F66A5E31,D49AC946-9F56-4B82-A3A1-2D49F66A5E31,1989,24998,P25.018,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 7,,NCSW,0,10,7000,7700,Onahama,LHOKSEUMAWE,FOB,manual,,1989 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,7000,Mt,64,7000 Mt of sulphuric acid - Tel-quel,8/21/2025,8/30/2025,bldate,8/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,0,1
1C27B4DA-D386-40EC-8A18-C8BE1E5AB673,1C27B4DA-D386-40EC-8A18-C8BE1E5AB673,1991,25007A,P25.018,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 7,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,FOB,manual,,1991 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,51,5000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
6453C83B-FF65-4EFA-B123-341FA4B393B5,6453C83B-FF65-4EFA-B123-341FA4B393B5,1993,25013A,P25.018,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET ,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,FOB,manual,,1993 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,55.2,5000 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
64D5642D-2B3B-48FB-AE6C-EF7109D0000C,64D5642D-2B3B-48FB-AE6C-EF7109D0000C,1995,25024A,P25.018,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 7,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,FOB,manual,,1995 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,92,5000 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
1B4518DD-0C0E-43DC-AF81-D36A71801CA8,1B4518DD-0C0E-43DC-AF81-D36A71801CA8,2001,24995,P25.020,"TRICON ENERGY, LTD",USD,7/11/2025,NET 30,,NCSW,22.22,22.22,3500,5500,Zhangjiagang,Mejillones,CFR,manual,,2001 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,4500,Mt,171,4500 Mt of sulphuric acid - Tel-quel,8/19/2025,8/26/2025,bldate,8/19/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
13C5150B-0D4A-49E4-9903-98DD1DA22336,13C5150B-0D4A-49E4-9903-98DD1DA22336,2028,25004,P25.021,SAS International LLC,USD,8/29/2025,NET ,,NCSW,5,5,6650,7350,Rugao,Mejillones,CFR,manual,,2028 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,7000,Mt,150,7000 Mt of sulphuric acid - Tel-quel,10/5/2025,10/14/2025,bldate,10/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
88C62D2D-19AB-49B7-8284-E8C641C26F5A,88C62D2D-19AB-49B7-8284-E8C641C26F5A,2034,25022B,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,9/5/2025,NET ,,NCSW,10,10,8550,10450,YIZHENG,Kakinada,FOB,manual,,2034 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,9500,Mt,114.29,9500 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
CF3B673D-5B5E-4DA9-98BD-91CCDD586B34,CF3B673D-5B5E-4DA9-98BD-91CCDD586B34,2039,25015,P25.022,BOLIDEN HARJAVALTA OY,USD,9/26/2025,NET 30,,NCSW,5.26,5.26,18000,20000,Ronnskar,Beaumont,FOB,manual,,2039 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19000,Mt,65.83,19000 Mt of sulphuric acid - 100%,11/25/2025,12/4/2025,bldate,11/25/2025,Jeremie Collot, ,100,H2SO4 FY 2025,Default,Laycan,,0,6,550,1,1
1E2CD211-032B-4746-A9BE-0CAB195653A3,1E2CD211-032B-4746-A9BE-0CAB195653A3,2040,25010,P25.023,"TRICON ENERGY, LTD",USD,9/26/2025,NET 30,,NCSW,5,5,18050,19950,Bandirma,Tampa,CFR,manual,,2040 / H2SO4 FY 2025 / Default,line,H2SO4-Turkey,Turkey,19000,Mt,102,19000 Mt of sulphuric acid - Tel-quel,10/15/2025,10/25/2025,bldate,10/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
9AD52EA8-B7A3-42FE-B6EA-AF8F9624514F,9AD52EA8-B7A3-42FE-B6EA-AF8F9624514F,2043,25007B,P25.018,SUMITOMO CORPORATION - MMC,USD,9/26/2025,NET 7,,NCSW,20,20,1600,2400,Naoshima,Samut Prakan,FOB,manual,,2043 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2000,Mt,51,2000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
F1121A5B-1CD9-4F69-9B1C-16AB21AE6566,F1121A5B-1CD9-4F69-9B1C-16AB21AE6566,2044,25007C,P25.018,SUMITOMO CORPORATION - MMC,USD,9/26/2025,NET 7,,NCSW,0,0,1000,1000,Naoshima,Samut Prakan,FOB,manual,,2044 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,1000,Mt,51,1000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
74CE5927-E06C-4EA6-81C3-FF56C560DA68,74CE5927-E06C-4EA6-81C3-FF56C560DA68,2047,25014,P25.024,HEXAGON GROUP AG,USD,9/26/2025,NET 20,,NCSW,5,5,18050,19950,Huelva,Tampa,CFR,manual,,2047 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,105.9,19000 Mt of sulphuric acid - Tel-quel,11/15/2025,11/20/2025,bldate,11/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
4CF28C0F-36D6-4C97-866B-C3132F69F3E4,4CF28C0F-36D6-4C97-866B-C3132F69F3E4,2050,25023,P26.001,ATLANTIC COPPER ,USD,10/3/2025,NET 15,,NCSW,5,5,18050,19950,Huelva,Beaumont,FOB,manual,,2050 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,84.5,19000 Mt of sulphuric acid - Tel-quel,1/13/2026,1/19/2026,bldate,1/13/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
627F6B99-510F-41D6-B5C1-CA37024A50E0,627F6B99-510F-41D6-B5C1-CA37024A50E0,2053,25018,P25.025,SUMITOMO CORPORATION - MMC,USD,10/16/2025,NET 7,,NCSW,10,10,17100,20900,Naoshima,Stockton,FOB,manual,,2053 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,19000,Mt,63,19000 Mt of sulphuric acid - Tel-quel,12/15/2025,12/24/2025,bldate,12/20/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
16F9F10A-D40D-42E9-BCA7-62DB34BFDDC3,16F9F10A-D40D-42E9-BCA7-62DB34BFDDC3,2057,25012,P25.026,HEXAGON GROUP AG,USD,10/27/2025,NET 5,,NCSW,0,0,6000,6000,Antwerpen,Mejillones,CFR,manual,,2057 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Switzerland,Switzerland,6000,Mt,159.59,6000 Mt of sulphuric acid - Tel-quel,11/10/2025,11/20/2025,bldate,11/10/2025,Jeremie Collot,Gregory Gondeau,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,0
DD7221A8-0922-463D-9D0E-BA89E41882B2,DD7221A8-0922-463D-9D0E-BA89E41882B2,2058,25013B,P25.018,SUMITOMO CORPORATION - MMC,USD,10/29/2025,NET 7,,NCSW,0,0,3600,3600,Naoshima,Samut Prakan,FOB,manual,,2058 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,3600,Mt,55.2,3600 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
9616EB93-26B4-47D6-8D21-5B3A645496EE,9616EB93-26B4-47D6-8D21-5B3A645496EE,2060,25017,P25.027,SAS International LLC,USD,10/31/2025,NET ,,NCSW,5.26,5.26,9000,10000,Pori,Mejillones,CFR,manual,,2060 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,9500,Mt,165,9500 Mt of sulphuric acid - Tel-quel,12/15/2025,12/31/2025,bldate,12/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
EB771CB4-9D09-47EA-922B-54DA025BD67C,EB771CB4-9D09-47EA-922B-54DA025BD67C,2084,25019A,P25.028,"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",USD,11/17/2025,NET ,,NCSW,10,10,6750,8250,Taichung,Gladstone,FOB,manual,,2084 / H2SO4 FY 2025 / Default,line,H2SO4-Taiwan,Taiwan,7500,Mt,101,7500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,200,0,1
02C94974-BCB9-4C4F-803D-CAB76EFED668,02C94974-BCB9-4C4F-803D-CAB76EFED668,2085,25026ABC,P26.003,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,11/18/2025,NET 30,,NCSW,5,5,16150,17850,Callao,Mejillones,CIF,manual,,2085 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,17000,Mt,171,17000 Mt of sulphuric acid - Tel-quel,1/29/2026,2/9/2026,bldate,1/29/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,0,1
E0611902-DD4D-436C-8AA1-53E59FF7FA6C,E0611902-DD4D-436C-8AA1-53E59FF7FA6C,2093,25028ABC,P26.004,"Shandong Xiangying Chemical Import and Export CO.,LTD.",USD,12/1/2025,NET ,,NCSW,10,10,27000,33000,Laizhou,Mejillones,FOB,manual,,2093 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,30000,Mt,100,30000 Mt of sulphuric acid - Tel-quel,2/19/2026,2/24/2026,bldate,2/19/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,300,0,0
D5B7A728-7CB8-4FF7-B946-EBB9970C52F5,D5B7A728-7CB8-4FF7-B946-EBB9970C52F5,2097,25024B,P25.018,SUMITOMO CORPORATION - MMC,USD,12/3/2025,NET 7,,NCSW,0,0,1899.669,1899.669,Naoshima,Samut Prakan,FOB,manual,,2097 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,1899.67,Mt,55.2,1899.67 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
E5CB510A-ACCB-4BC2-B657-7504DCDAC98D,E5CB510A-ACCB-4BC2-B657-7504DCDAC98D,2105,25024C,P26.011,SUMITOMO CORPORATION - MMC,USD,12/4/2025,NET 7,,NCSW,0,0,3600,3600,Naoshima,Samut Prakan,FOB,manual,,2105 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,3600,Mt,45,3600 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,1
674FB2F0-A66B-4066-A80C-EAC3E4EDEBBE,674FB2F0-A66B-4066-A80C-EAC3E4EDEBBE,2107,MMC FEB LXML ,P26.011,SUMITOMO CORPORATION - MMC,USD,12/5/2025,NET ,,NCSW,0,0,5000,5000,Naoshima,Samut Prakan,FOB,manual,,2107 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,0,5000 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,0
DD5A61C0-ABC7-48A6-BFD9-7BD2337779A1,DD5A61C0-ABC7-48A6-BFD9-7BD2337779A1,2109,MMC MAR MWA buy price for NFC,P26.011,SUMITOMO CORPORATION - MMC,USD,12/5/2025,NET ,,NCSW,0,0,2400,2400,,Samut Prakan,FOB,manual,,2109 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2400,Mt,0,2400 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,0
C0B06F33-B62C-4935-B129-E77F9A223F9A,C0B06F33-B62C-4935-B129-E77F9A223F9A,2122,25021,P26.006,SUMITOMO CORPORATION - PPC,USD,12/10/2025,NET ,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,2122 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,71,20000 Mt of sulphuric acid - Tel-quel,1/7/2026,1/21/2026,bldate,1/7/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
0DA01A1B-5718-42A1-8C2B-8FB010DFDC53,0DA01A1B-5718-42A1-8C2B-8FB010DFDC53,2124,25025,P26.006,SUMITOMO CORPORATION - PPC,USD,12/18/2025,NET 7,,NCSW,10,10,18000,22000,Hibi,Stockton,FOB,manual,,2124 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,69,20000 Mt of sulphuric acid - Tel-quel,1/30/2026,2/13/2026,bldate,2/3/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
D2481F55-7696-4D2D-95BB-49F13CE400A5,D2481F55-7696-4D2D-95BB-49F13CE400A5,2126,25029,P26.006,SUMITOMO CORPORATION - PPC,USD,12/18/2025,NET 7,,NCSW,10,10,18000,22000,Saganoseki,Stockton,FOB,manual,,2126 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,71,20000 Mt of sulphuric acid - Tel-quel,2/26/2026,3/12/2026,bldate,2/26/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,0
1EE52682-41EF-4A02-BB55-B49B611110D1,1EE52682-41EF-4A02-BB55-B49B611110D1,2130,25027,P26.008,SAS International LLC,USD,12/22/2025,NET 15,,NCSW,5,5,12825,14175,Ilo,Mejillones,CFR,manual,,2130 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,13500,Mt,184,13500 Mt of sulphuric acid - Tel-quel,2/15/2026,2/26/2026,bldate,2/15/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,0
6EA11257-D4B3-4D82-9AE2-D759A0FC0495,6EA11257-D4B3-4D82-9AE2-D759A0FC0495,2131,MMC - Feb shipment ,P25.018,SUMITOMO CORPORATION - MMC,USD,12/29/2025,NET 7,,NCSW,0,0,2100,2100,Naoshima,Map Ta Phut,FOB,manual,,2131 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2100,Mt,0,2100 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,300,1,0
9789E145-8EEB-4E86-9805-64B158464B49,9789E145-8EEB-4E86-9805-64B158464B49,2151,25020E,P26.009 - 6kt,JINCHUAN,USD,1/5/2026,NET ,,NCSW,33.36,33.36,2996.46,5996.46,Fangcheng,Mejillones,FOB,manual,,2151 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,4496.46,Mt,160,4496.46 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,1,1
79E29B5D-57B9-4723-977A-771D581994CA,79E29B5D-57B9-4723-977A-771D581994CA,2153,25022C,P25.007 - 100kt,"JINLONG COPPER CO., LTD",USD,1/5/2026,NET ,,NCSW,4.76,4.76,3500,3849.787,YIZHENG,Kakinada,FOB,manual,,2153 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,3674.89,Mt,77.31,3674.89 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,1,1
EE1092B5-A611-4C21-BE22-FB08A91E9976,EE1092B5-A611-4C21-BE22-FB08A91E9976,2155,25019B,P25.028,"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",USD,1/6/2026,NET 5,,NCSW,10,10,2250,2750,Taichung,Gladstone,FOB,manual,,2155 / H2SO4 FY 2025 / Default,line,H2SO4-Taiwan,Taiwan,2500,Mt,101,2500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,200,0,1
9B3D44F0-1322-471E-ADBA-D74C134F9842,9B3D44F0-1322-471E-ADBA-D74C134F9842,2157,25020D,P26.009 - 6kt,JINCHUAN,USD,1/7/2026,NET ,,NCSW,0,0,3000,3000,Fangcheng,Mejillones,FOB,manual,,2157 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,3000,Mt,160,3000 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,9,350,1,1
1 source_id source_line_id number reference our_reference party_name currency_code purchase_date payment_term warehouse_code weight_basis tol_min_pct tol_max_pct tol_min_qty tol_max_qty from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code origin line_quantity line_unit_code line_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date trader operator concentration book strategy period_at demurrage laytime_hours nor_extra_hours pumping_rate use_only_min_max drop_remaining_quantity
2 C00E4A1E-4743-4C73-8F92-FEA123D2DCCE C00E4A1E-4743-4C73-8F92-FEA123D2DCCE 1761 24972A S24.025 SUMITOMO CORPORATION - MMC USD 5/15/2024 NET 30 NCSW 0 0 5000 5000 Onahama Map Ta Phut FOB manual 1761 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 33.36 5000 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
3 A65BA960-E7EC-44FD-A945-8554C8D9B89B A65BA960-E7EC-44FD-A945-8554C8D9B89B 1849 24976 P25.001 ATLANTIC COPPER USD 11/1/2024 NET NCSW 5 5 18050 19950 Huelva Tampa FOB manual 1849 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 95 19000 Mt of sulphuric acid - Tel-quel 4/15/2025 4/21/2025 bldate 4/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
4 D890D3AF-EB6C-4B06-9F20-E8C92D2514D1 D890D3AF-EB6C-4B06-9F20-E8C92D2514D1 1866 24977 P25.004/1 & P25.012 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 NCSW 5.08 5.08 14000 15500 Callao Mejillones CIF manual 1866 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14750 Mt 148.17 14750 Mt of sulphuric acid - Tel-quel 4/18/2025 4/28/2025 bldate 4/18/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
5 0ED2A6A8-16DD-4CD5-8114-EEE96F711225 0ED2A6A8-16DD-4CD5-8114-EEE96F711225 1867 24991 P25.004/2 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 NCSW 5.08 5.08 14000 15500 Callao Mejillones CIF manual 1867 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 7/1/2025 7/10/2025 bldate 7/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
6 AA9BF6DB-3C96-491D-B0E8-3C22C3FE13BB AA9BF6DB-3C96-491D-B0E8-3C22C3FE13BB 1868 25000 P25.004/3 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 15 NCSW 5.08 5.08 14000 15500 Callao Mejillones CIF manual 1868 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 8/20/2025 8/30/2025 bldate 8/20/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
7 7F86EA2E-2409-4A59-A09E-0B3B0B3C0FFE 7F86EA2E-2409-4A59-A09E-0B3B0B3C0FFE 1869 25016 P25.004/4 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 NCSW 5.08 5.08 14000 15500 Callao Mejillones CIP manual 1869 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 12/3/2025 12/13/2025 bldate 12/3/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
8 3B181AD5-AEF1-4DD1-B3BF-835DCAA3B460 3B181AD5-AEF1-4DD1-B3BF-835DCAA3B460 1876 24971AB P25.005 - 120kt JINCHUAN USD 12/5/2024 NET NCSW 10 10 27000 33000 Fangcheng Mejillones FOB manual 1876 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 40 30000 Mt of sulphuric acid - Tel-quel 4/13/2025 5/2/2025 bldate 4/13/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 0 1
9 87D65A8B-E366-4F61-A684-F16A9E380D6D 87D65A8B-E366-4F61-A684-F16A9E380D6D 1877 24986ABC P25.005 - 120kt JINCHUAN USD 12/5/2024 LC 30 DAYS NCSW 10 10 27000 33000 Fangcheng Mejillones FOB manual 1877 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 40 30000 Mt of sulphuric acid - Tel-quel 7/5/2025 7/16/2025 bldate 7/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 0 1
10 F1B16A79-23DE-4BC3-AA05-98FF85120CE2 F1B16A79-23DE-4BC3-AA05-98FF85120CE2 1878 25020ABC P25.005 - 120kt JINCHUAN USD 12/5/2024 NET NCSW 0 0 27000 27000 Fangcheng Mejillones FOB manual 1878 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 27000 Mt 40 27000 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 1 1
11 0079657A-2247-4D04-98F5-B111191D935A 0079657A-2247-4D04-98F5-B111191D935A 1881 24970 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 1881 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
12 FCB43E88-A643-422B-95B6-B68CE61C4015 FCB43E88-A643-422B-95B6-B68CE61C4015 1883 24979 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 1883 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 5/18/2025 5/31/2025 bldate 5/18/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
13 E5E96218-48BA-46E5-99C8-9E4086AF12A5 E5E96218-48BA-46E5-99C8-9E4086AF12A5 1885 24985 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 1885 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 6/15/2025 6/30/2025 bldate 6/17/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
14 AA912607-7B83-4DAC-A4EE-E9F24F55B58E AA912607-7B83-4DAC-A4EE-E9F24F55B58E 1887 24996 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Hibi Stockton FOB manual 1887 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 8/15/2025 8/29/2025 bldate 8/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
15 EC24CFB1-7260-4963-A452-F9B4FA60CC0C EC24CFB1-7260-4963-A452-F9B4FA60CC0C 1889 24989 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Hibi Stockton FOB manual 1889 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 7/12/2025 7/25/2025 bldate 7/12/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
16 E7B7D5E1-72E1-490B-85BE-13BC3849ECC2 E7B7D5E1-72E1-490B-85BE-13BC3849ECC2 1891 24999 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Hibi Stockton FOB manual 1891 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 9/7/2025 9/22/2025 bldate 9/7/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
17 A547D4C5-F163-4B27-9A88-F66175AEF3E6 A547D4C5-F163-4B27-9A88-F66175AEF3E6 1893 25003 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 7 NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 1893 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 72 20000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
18 14292C24-948C-4E7A-8E9C-85F9A0890877 14292C24-948C-4E7A-8E9C-85F9A0890877 1895 25008 P25.006 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET NCSW 10 10 18000 22000 Hibi Stockton FOB manual 1895 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 64 20000 Mt of sulphuric acid - Tel-quel 11/1/2025 11/30/2025 bldate 11/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
19 694E3179-4DC2-4C9B-B3D3-B436BA304F28 694E3179-4DC2-4C9B-B3D3-B436BA304F28 1904 24990AB P25.009 - 60kt JINCHUAN USD 12/16/2024 NET NCSW 10 10 27000 33000 Fangcheng Mejillones FOB manual 1904 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 35 30000 Mt of sulphuric acid - Tel-quel 9/10/2025 9/30/2025 bldate 9/10/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 0 1
20 EA973053-2D21-4D6C-915D-0212F9C92E94 EA973053-2D21-4D6C-915D-0212F9C92E94 1912 24975 P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 NET NCSW 10 10 9000 11000 Rugao Isabel FOB manual 1912 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 65.63 10000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/7/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
21 24306B99-A9C3-4E9D-9961-2E2B98C515AB 24306B99-A9C3-4E9D-9961-2E2B98C515AB 1913 24987 P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 NET NCSW 0 10 10000 11000 YIZHENG Gladstone FOB manual 1913 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 73.5 10000 Mt of sulphuric acid - Tel-quel 6/8/2025 6/18/2025 bldate 6/8/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
22 446ABDCD-C09A-4911-88D3-4CD8BDECBBF9 446ABDCD-C09A-4911-88D3-4CD8BDECBBF9 1914 24992 P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 NCSW 10 10 9000 11000 Rugao Tuticorin FOB manual 1914 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 86.5 10000 Mt of sulphuric acid - Tel-quel 7/18/2025 7/30/2025 bldate 7/18/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
23 38B61B69-789C-4D9A-8A37-1B475BE69C50 38B61B69-789C-4D9A-8A37-1B475BE69C50 1915 24992 P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 LC 30 DAYS NCSW 10 10 9000 11000 Rugao Tuticorin FOB manual 1915 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 91.19 10000 Mt of sulphuric acid - Tel-quel 7/18/2025 7/30/2025 bldate 7/18/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
24 169FEC9E-34DD-488E-9323-7EBE720A641F 169FEC9E-34DD-488E-9323-7EBE720A641F 1916 25006 P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 NET NCSW 5 5 9500 10500 Rugao Isabel FOB manual 1916 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 91.81 10000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
25 F14935F1-2D50-4167-9823-2DA248C23D7C F14935F1-2D50-4167-9823-2DA248C23D7C 1917 25022A P25.007 - 100kt JINLONG COPPER CO., LTD USD 12/17/2024 NET NCSW 22.58 22.58 6000 9500 YIZHENG Visakhapatnam FOB manual 1917 / H2SO4 FY 2025 / Default line H2SO4-China China 7750 Mt 77.31 7750 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 1 1
26 2A9D4883-8822-467D-8C1E-30ECC64C7000 2A9D4883-8822-467D-8C1E-30ECC64C7000 1919 24980ABC P25.008 TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET NCSW 10 10 27000 33000 YIZHENG Mejillones FOB manual 1919 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 73.63 30000 Mt of sulphuric acid - Tel-quel 5/30/2025 6/15/2025 bldate 6/2/2025 Stephane Monnard 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
27 A7285649-0E96-4640-A23B-1876E403F95E A7285649-0E96-4640-A23B-1876E403F95E 1920 24994 P25.008 TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET NCSW 10 10 18000 22000 YIZHENG Tuticorin FOB manual 1920 / H2SO4 FY 2025 / Default line H2SO4-China China 20000 Mt 92.94 20000 Mt of sulphuric acid - Tel-quel 8/16/2025 8/28/2025 bldate 8/16/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
28 66B2E095-336E-416C-AA63-55BDAAFAEE2C 66B2E095-336E-416C-AA63-55BDAAFAEE2C 1921 25001ABCD P25.008 TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET NCSW 10 10 27000 33000 Rugao Mejillones FOB manual 1921 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 73.125 30000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
29 ADB3789C-0844-46D8-B24C-B92A5DCEF5D0 ADB3789C-0844-46D8-B24C-B92A5DCEF5D0 1925 24988 P25.010 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 NCSW 5.26 5.26 18000 20000 Pori FOB manual 1925 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19000 Mt 84.57 19000 Mt of sulphuric acid - 100% 6/25/2025 7/4/2025 bldate 6/25/2025 Jeremie Collot 100 H2SO4 FY 2025 Default Laycan 0 6 550 1 1
30 C7B91036-E67E-49FA-AD5B-BBC5DA64E89F C7B91036-E67E-49FA-AD5B-BBC5DA64E89F 1926 24997AB P25.010 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 NCSW 5.26 5.26 18000 20000 Ronnskar Beaumont FOB manual 1926 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19000 Mt 88.91 19000 Mt of sulphuric acid - Tel-quel 8/22/2025 9/4/2025 bldate 9/3/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 550 1 1
31 8C22A21C-C3D8-4C09-9440-274E0546196D 8C22A21C-C3D8-4C09-9440-274E0546196D 1928 25011ABCDE P25.010 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 NCSW 5.26 5.26 18000 20000 Pori Mejillones FOB manual 1928 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 19000 Mt 63.49 19000 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 550 1 1
32 23734B0E-5AC0-4364-8CBA-58505E3B33A1 23734B0E-5AC0-4364-8CBA-58505E3B33A1 1929 25005 P25.010 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET NCSW 3.9 3.9 18500 20000 Ronnskar Beaumont FOB manual 1929 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19250 Mt 74.56 19250 Mt of sulphuric acid - Tel-quel 10/11/2025 10/20/2025 bldate 10/11/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 550 1 1
33 EB9CBF03-3B8E-4453-B6DB-1A234C1C8D4E EB9CBF03-3B8E-4453-B6DB-1A234C1C8D4E 1933 24984 SUMITOMO CORPORATION - PPC USD 1/6/2025 NET 7 NCSW 10 10 18000 22000 Saganoseki Tuticorin FOB manual 1933 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 42 20000 Mt of sulphuric acid - Tel-quel 6/9/2025 6/19/2025 bldate 6/12/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
34 E139786E-55C2-46AF-B4FA-0FB613FD14CD E139786E-55C2-46AF-B4FA-0FB613FD14CD 1937 24983 P25.008 TONGLING NONFERROUS METALS GROUP CO. LTD USD 1/10/2025 NET NCSW 3.3 3.3 11000 11750 YIZHENG FOB manual 1937 / H2SO4 FY 2025 / Default line H2SO4-China China 11375 Mt 72.19 11375 Mt of sulphuric acid - Tel-quel 5/15/2025 5/25/2025 bldate 5/15/2025 Stephane Monnard Oliver Gysler 0 H2SO4 FY 2025 Default Laycan 0 6 300 1 1
35 C5047512-8D3A-4D0C-9187-51F361E8031F C5047512-8D3A-4D0C-9187-51F361E8031F 1944 24974AB P25.013 TRICON ENERGY, LTD USD 1/31/2025 NET 30 NCSW 10.71 10.71 12500 15500 Ilo Mejillones CFR manual 1944 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14000 Mt 145.75 14000 Mt of sulphuric acid - Tel-quel 5/5/2025 5/11/2025 bldate 5/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
36 A78EF4D1-3579-4F0E-ABF6-484550F4361F A78EF4D1-3579-4F0E-ABF6-484550F4361F 1949 24972B S24.025 SUMITOMO CORPORATION - MMC USD 2/26/2025 NET NCSW 0 0 2700 2700 Onahama Samut Prakan FOB manual 1949 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2700 Mt 33.36 2700 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
37 730B0B84-3980-4A56-B259-BC24C3BE0766 730B0B84-3980-4A56-B259-BC24C3BE0766 1956 25002 P25.009 - 60kt JINCHUAN USD 3/19/2025 NET NCSW 10 10 27000 33000 Fangcheng Tuticorin FOB manual 1956 / H2SO4 FY 2025 / Default line H2SO4-China China 30000 Mt 35 30000 Mt of sulphuric acid - Tel-quel 10/10/2025 10/30/2025 bldate 10/26/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 9 350 0 1
38 4B20B434-6B9D-4A57-BFC2-2FD4EBB71919 4B20B434-6B9D-4A57-BFC2-2FD4EBB71919 1957 24981 P25.014 HEXAGON GROUP AG USD 3/21/2025 NET NCSW 22.33 22.33 10000 15750 Rugao Mejillones CFR manual 1957 / H2SO4 FY 2025 / Chile FY25 line H2SO4 12875 Mt 156 12875 Mt of sulphuric acid - Tel-quel 4/28/2025 5/7/2025 bldate 5/1/2025 Jeremie Collot Gregory Gondeau 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
39 1B11F28C-7AC5-4C89-8444-8E38D04A07C6 1B11F28C-7AC5-4C89-8444-8E38D04A07C6 1959 24978 P25.015 TRICON ENERGY, LTD USD 3/28/2025 NET NCSW 10 10 17100 20900 Bandirma Beaumont CFR manual 1959 / H2SO4 FY 2025 / Default line H2SO4-Turkey Turkey 19000 Mt 138.9 19000 Mt of sulphuric acid - Tel-quel 4/28/2025 5/8/2025 bldate 5/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
40 C7E0CFA0-05C9-441C-975F-EFABDDD93198 C7E0CFA0-05C9-441C-975F-EFABDDD93198 1962 24973B P25.004/1 NEXA RESOURCES CAJAMARQUILLA S.A. USD 4/2/2025 NET NCSW 0 0 20 20 Callao Mejillones CIF manual 1962 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 20 Mt 155 20 Mt of sulphuric acid - Tel-quel 3/20/2025 4/4/2025 bldate 4/3/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
41 4412C861-90D3-43D2-B37A-A4BD54DB7416 4412C861-90D3-43D2-B37A-A4BD54DB7416 1970 24982/B S24.025 SUMITOMO CORPORATION - MMC USD 4/17/2025 NET 7 NCSW 0 0 2350 2350 Onahama Samut Prakan FOB manual 1970 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2350 Mt 45.25 2350 Mt of sulphuric acid - Tel-quel 5/9/2025 5/16/2025 bldate 5/9/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 0 300 1 1
42 23B0BD08-70B2-476F-B9E2-A272FAE41199 23B0BD08-70B2-476F-B9E2-A272FAE41199 1972 24982/A S24.025 SUMITOMO CORPORATION - MMC USD 4/17/2025 NET NCSW 0 0 5000 5000 Onahama Map Ta Phut FOB manual 1972 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 45.25 5000 Mt of sulphuric acid - Tel-quel 5/9/2025 5/16/2025 bldate 5/9/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 0 300 1 1
43 9B44DBC7-6AC0-4D07-A413-A0FB29DF03ED 9B44DBC7-6AC0-4D07-A413-A0FB29DF03ED 1986 24993 P25.017 TRICON ENERGY, LTD USD 6/19/2025 NET NCSW 10 10 4950 6050 Onsan Mejillones CFR manual 1986 / H2SO4 FY 2025 / Chile FY25 line H2SO4-South Korea South Korea 5500 Mt 169 5500 Mt of sulphuric acid - Tel-quel 8/7/2025 8/15/2025 bldate 8/7/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
44 85206D6D-4FDD-4D89-BF1F-301EC6CD73F9 85206D6D-4FDD-4D89-BF1F-301EC6CD73F9 1987 25009 P25.008 TONGLING NONFERROUS METALS GROUP CO. LTD USD 6/24/2025 NET NCSW 10 10 7200 8800 Rugao LHOKSEUMAWE FOB manual 1987 / H2SO4 FY 2025 / Default line H2SO4-China China 8000 Mt 77.31 8000 Mt of sulphuric acid - Tel-quel 11/5/2025 11/11/2025 bldate 11/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
45 D49AC946-9F56-4B82-A3A1-2D49F66A5E31 D49AC946-9F56-4B82-A3A1-2D49F66A5E31 1989 24998 P25.018 SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 7 NCSW 0 10 7000 7700 Onahama LHOKSEUMAWE FOB manual 1989 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 7000 Mt 64 7000 Mt of sulphuric acid - Tel-quel 8/21/2025 8/30/2025 bldate 8/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 0 1
46 1C27B4DA-D386-40EC-8A18-C8BE1E5AB673 1C27B4DA-D386-40EC-8A18-C8BE1E5AB673 1991 25007A P25.018 SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 7 NCSW 0 0 5000 5000 Naoshima Map Ta Phut FOB manual 1991 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 51 5000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
47 6453C83B-FF65-4EFA-B123-341FA4B393B5 6453C83B-FF65-4EFA-B123-341FA4B393B5 1993 25013A P25.018 SUMITOMO CORPORATION - MMC USD 7/2/2025 NET NCSW 0 0 5000 5000 Naoshima Map Ta Phut FOB manual 1993 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 55.2 5000 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
48 64D5642D-2B3B-48FB-AE6C-EF7109D0000C 64D5642D-2B3B-48FB-AE6C-EF7109D0000C 1995 25024A P25.018 SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 7 NCSW 0 0 5000 5000 Naoshima Map Ta Phut FOB manual 1995 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 92 5000 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
49 1B4518DD-0C0E-43DC-AF81-D36A71801CA8 1B4518DD-0C0E-43DC-AF81-D36A71801CA8 2001 24995 P25.020 TRICON ENERGY, LTD USD 7/11/2025 NET 30 NCSW 22.22 22.22 3500 5500 Zhangjiagang Mejillones CFR manual 2001 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 4500 Mt 171 4500 Mt of sulphuric acid - Tel-quel 8/19/2025 8/26/2025 bldate 8/19/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
50 13C5150B-0D4A-49E4-9903-98DD1DA22336 13C5150B-0D4A-49E4-9903-98DD1DA22336 2028 25004 P25.021 SAS International LLC USD 8/29/2025 NET NCSW 5 5 6650 7350 Rugao Mejillones CFR manual 2028 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 7000 Mt 150 7000 Mt of sulphuric acid - Tel-quel 10/5/2025 10/14/2025 bldate 10/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
51 88C62D2D-19AB-49B7-8284-E8C641C26F5A 88C62D2D-19AB-49B7-8284-E8C641C26F5A 2034 25022B P25.007 - 100kt JINLONG COPPER CO., LTD USD 9/5/2025 NET NCSW 10 10 8550 10450 YIZHENG Kakinada FOB manual 2034 / H2SO4 FY 2025 / Default line H2SO4-China China 9500 Mt 114.29 9500 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
52 CF3B673D-5B5E-4DA9-98BD-91CCDD586B34 CF3B673D-5B5E-4DA9-98BD-91CCDD586B34 2039 25015 P25.022 BOLIDEN HARJAVALTA OY USD 9/26/2025 NET 30 NCSW 5.26 5.26 18000 20000 Ronnskar Beaumont FOB manual 2039 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19000 Mt 65.83 19000 Mt of sulphuric acid - 100% 11/25/2025 12/4/2025 bldate 11/25/2025 Jeremie Collot 100 H2SO4 FY 2025 Default Laycan 0 6 550 1 1
53 1E2CD211-032B-4746-A9BE-0CAB195653A3 1E2CD211-032B-4746-A9BE-0CAB195653A3 2040 25010 P25.023 TRICON ENERGY, LTD USD 9/26/2025 NET 30 NCSW 5 5 18050 19950 Bandirma Tampa CFR manual 2040 / H2SO4 FY 2025 / Default line H2SO4-Turkey Turkey 19000 Mt 102 19000 Mt of sulphuric acid - Tel-quel 10/15/2025 10/25/2025 bldate 10/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
54 9AD52EA8-B7A3-42FE-B6EA-AF8F9624514F 9AD52EA8-B7A3-42FE-B6EA-AF8F9624514F 2043 25007B P25.018 SUMITOMO CORPORATION - MMC USD 9/26/2025 NET 7 NCSW 20 20 1600 2400 Naoshima Samut Prakan FOB manual 2043 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2000 Mt 51 2000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
55 F1121A5B-1CD9-4F69-9B1C-16AB21AE6566 F1121A5B-1CD9-4F69-9B1C-16AB21AE6566 2044 25007C P25.018 SUMITOMO CORPORATION - MMC USD 9/26/2025 NET 7 NCSW 0 0 1000 1000 Naoshima Samut Prakan FOB manual 2044 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 1000 Mt 51 1000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
56 74CE5927-E06C-4EA6-81C3-FF56C560DA68 74CE5927-E06C-4EA6-81C3-FF56C560DA68 2047 25014 P25.024 HEXAGON GROUP AG USD 9/26/2025 NET 20 NCSW 5 5 18050 19950 Huelva Tampa CFR manual 2047 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 105.9 19000 Mt of sulphuric acid - Tel-quel 11/15/2025 11/20/2025 bldate 11/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
57 4CF28C0F-36D6-4C97-866B-C3132F69F3E4 4CF28C0F-36D6-4C97-866B-C3132F69F3E4 2050 25023 P26.001 ATLANTIC COPPER USD 10/3/2025 NET 15 NCSW 5 5 18050 19950 Huelva Beaumont FOB manual 2050 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 84.5 19000 Mt of sulphuric acid - Tel-quel 1/13/2026 1/19/2026 bldate 1/13/2026 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
58 627F6B99-510F-41D6-B5C1-CA37024A50E0 627F6B99-510F-41D6-B5C1-CA37024A50E0 2053 25018 P25.025 SUMITOMO CORPORATION - MMC USD 10/16/2025 NET 7 NCSW 10 10 17100 20900 Naoshima Stockton FOB manual 2053 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 19000 Mt 63 19000 Mt of sulphuric acid - Tel-quel 12/15/2025 12/24/2025 bldate 12/20/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
59 16F9F10A-D40D-42E9-BCA7-62DB34BFDDC3 16F9F10A-D40D-42E9-BCA7-62DB34BFDDC3 2057 25012 P25.026 HEXAGON GROUP AG USD 10/27/2025 NET 5 NCSW 0 0 6000 6000 Antwerpen Mejillones CFR manual 2057 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Switzerland Switzerland 6000 Mt 159.59 6000 Mt of sulphuric acid - Tel-quel 11/10/2025 11/20/2025 bldate 11/10/2025 Jeremie Collot Gregory Gondeau 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 0
60 DD7221A8-0922-463D-9D0E-BA89E41882B2 DD7221A8-0922-463D-9D0E-BA89E41882B2 2058 25013B P25.018 SUMITOMO CORPORATION - MMC USD 10/29/2025 NET 7 NCSW 0 0 3600 3600 Naoshima Samut Prakan FOB manual 2058 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 3600 Mt 55.2 3600 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
61 9616EB93-26B4-47D6-8D21-5B3A645496EE 9616EB93-26B4-47D6-8D21-5B3A645496EE 2060 25017 P25.027 SAS International LLC USD 10/31/2025 NET NCSW 5.26 5.26 9000 10000 Pori Mejillones CFR manual 2060 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 9500 Mt 165 9500 Mt of sulphuric acid - Tel-quel 12/15/2025 12/31/2025 bldate 12/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
62 EB771CB4-9D09-47EA-922B-54DA025BD67C EB771CB4-9D09-47EA-922B-54DA025BD67C 2084 25019A P25.028 PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. USD 11/17/2025 NET NCSW 10 10 6750 8250 Taichung Gladstone FOB manual 2084 / H2SO4 FY 2025 / Default line H2SO4-Taiwan Taiwan 7500 Mt 101 7500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 200 0 1
63 02C94974-BCB9-4C4F-803D-CAB76EFED668 02C94974-BCB9-4C4F-803D-CAB76EFED668 2085 25026ABC P26.003 NEXA RESOURCES CAJAMARQUILLA S.A. USD 11/18/2025 NET 30 NCSW 5 5 16150 17850 Callao Mejillones CIF manual 2085 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 17000 Mt 171 17000 Mt of sulphuric acid - Tel-quel 1/29/2026 2/9/2026 bldate 1/29/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 0 1
64 E0611902-DD4D-436C-8AA1-53E59FF7FA6C E0611902-DD4D-436C-8AA1-53E59FF7FA6C 2093 25028ABC P26.004 Shandong Xiangying Chemical Import and Export CO.,LTD. USD 12/1/2025 NET NCSW 10 10 27000 33000 Laizhou Mejillones FOB manual 2093 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 30000 Mt 100 30000 Mt of sulphuric acid - Tel-quel 2/19/2026 2/24/2026 bldate 2/19/2026 Stephane Monnard 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 300 0 0
65 D5B7A728-7CB8-4FF7-B946-EBB9970C52F5 D5B7A728-7CB8-4FF7-B946-EBB9970C52F5 2097 25024B P25.018 SUMITOMO CORPORATION - MMC USD 12/3/2025 NET 7 NCSW 0 0 1899.669 1899.669 Naoshima Samut Prakan FOB manual 2097 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 1899.67 Mt 55.2 1899.67 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
66 E5CB510A-ACCB-4BC2-B657-7504DCDAC98D E5CB510A-ACCB-4BC2-B657-7504DCDAC98D 2105 25024C P26.011 SUMITOMO CORPORATION - MMC USD 12/4/2025 NET 7 NCSW 0 0 3600 3600 Naoshima Samut Prakan FOB manual 2105 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 3600 Mt 45 3600 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 1
67 674FB2F0-A66B-4066-A80C-EAC3E4EDEBBE 674FB2F0-A66B-4066-A80C-EAC3E4EDEBBE 2107 MMC FEB LXML P26.011 SUMITOMO CORPORATION - MMC USD 12/5/2025 NET NCSW 0 0 5000 5000 Naoshima Samut Prakan FOB manual 2107 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 0 5000 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 0
68 DD5A61C0-ABC7-48A6-BFD9-7BD2337779A1 DD5A61C0-ABC7-48A6-BFD9-7BD2337779A1 2109 MMC MAR MWA buy price for NFC P26.011 SUMITOMO CORPORATION - MMC USD 12/5/2025 NET NCSW 0 0 2400 2400 Samut Prakan FOB manual 2109 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2400 Mt 0 2400 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 0
69 C0B06F33-B62C-4935-B129-E77F9A223F9A C0B06F33-B62C-4935-B129-E77F9A223F9A 2122 25021 P26.006 SUMITOMO CORPORATION - PPC USD 12/10/2025 NET NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 2122 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 71 20000 Mt of sulphuric acid - Tel-quel 1/7/2026 1/21/2026 bldate 1/7/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
70 0DA01A1B-5718-42A1-8C2B-8FB010DFDC53 0DA01A1B-5718-42A1-8C2B-8FB010DFDC53 2124 25025 P26.006 SUMITOMO CORPORATION - PPC USD 12/18/2025 NET 7 NCSW 10 10 18000 22000 Hibi Stockton FOB manual 2124 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 69 20000 Mt of sulphuric acid - Tel-quel 1/30/2026 2/13/2026 bldate 2/3/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
71 D2481F55-7696-4D2D-95BB-49F13CE400A5 D2481F55-7696-4D2D-95BB-49F13CE400A5 2126 25029 P26.006 SUMITOMO CORPORATION - PPC USD 12/18/2025 NET 7 NCSW 10 10 18000 22000 Saganoseki Stockton FOB manual 2126 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 71 20000 Mt of sulphuric acid - Tel-quel 2/26/2026 3/12/2026 bldate 2/26/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 0
72 1EE52682-41EF-4A02-BB55-B49B611110D1 1EE52682-41EF-4A02-BB55-B49B611110D1 2130 25027 P26.008 SAS International LLC USD 12/22/2025 NET 15 NCSW 5 5 12825 14175 Ilo Mejillones CFR manual 2130 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 13500 Mt 184 13500 Mt of sulphuric acid - Tel-quel 2/15/2026 2/26/2026 bldate 2/15/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 0
73 6EA11257-D4B3-4D82-9AE2-D759A0FC0495 6EA11257-D4B3-4D82-9AE2-D759A0FC0495 2131 MMC - Feb shipment P25.018 SUMITOMO CORPORATION - MMC USD 12/29/2025 NET 7 NCSW 0 0 2100 2100 Naoshima Map Ta Phut FOB manual 2131 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2100 Mt 0 2100 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 300 1 0
74 9789E145-8EEB-4E86-9805-64B158464B49 9789E145-8EEB-4E86-9805-64B158464B49 2151 25020E P26.009 - 6kt JINCHUAN USD 1/5/2026 NET NCSW 33.36 33.36 2996.46 5996.46 Fangcheng Mejillones FOB manual 2151 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 4496.46 Mt 160 4496.46 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 1 1
75 79E29B5D-57B9-4723-977A-771D581994CA 79E29B5D-57B9-4723-977A-771D581994CA 2153 25022C P25.007 - 100kt JINLONG COPPER CO., LTD USD 1/5/2026 NET NCSW 4.76 4.76 3500 3849.787 YIZHENG Kakinada FOB manual 2153 / H2SO4 FY 2025 / Default line H2SO4-China China 3674.89 Mt 77.31 3674.89 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 350 1 1
76 EE1092B5-A611-4C21-BE22-FB08A91E9976 EE1092B5-A611-4C21-BE22-FB08A91E9976 2155 25019B P25.028 PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. USD 1/6/2026 NET 5 NCSW 10 10 2250 2750 Taichung Gladstone FOB manual 2155 / H2SO4 FY 2025 / Default line H2SO4-Taiwan Taiwan 2500 Mt 101 2500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 200 0 1
77 9B3D44F0-1322-471E-ADBA-D74C134F9842 9B3D44F0-1322-471E-ADBA-D74C134F9842 2157 25020D P26.009 - 6kt JINCHUAN USD 1/7/2026 NET NCSW 0 0 3000 3000 Fangcheng Mejillones FOB manual 2157 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 3000 Mt 160 3000 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 9 350 1 1

6
Reference Data/python_project/loaders/Purchase_Fees.csv Normal file
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@@ -0,0 +1,6 @@
contract_number,contract_ref,line_sequence,product,supplier,currency,p_r,mode,price,unit
1881,24970,1,Maritime Freight,MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,USD,PAY,Per qt,74.5,MT
1881,24970,1,Profit sharing,SUMITOMO CORPORATION - PPC,USD,PAY,Per qt,0.5,MT
1881,24970,1,BAF,MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,USD,REC,Per qt,2.43,MT
1881,24970,1,Finance,TBD Supplier,USD,PAY,Per qt,0.25,MT
1881,24970,1,P&I charterer's liability,FILHET - ALLARD MARITIME,USD,PAY,Per qt,0.06,MT
1 contract_number contract_ref line_sequence product supplier currency p_r mode price unit
2 1881 24970 1 Maritime Freight MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE USD PAY Per qt 74.5 MT
3 1881 24970 1 Profit sharing SUMITOMO CORPORATION - PPC USD PAY Per qt 0.5 MT
4 1881 24970 1 BAF MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE USD REC Per qt 2.43 MT
5 1881 24970 1 Finance TBD Supplier USD PAY Per qt 0.25 MT
6 1881 24970 1 P&I charterer's liability FILHET - ALLARD MARITIME USD PAY Per qt 0.06 MT

97
Reference Data/python_project/loaders/Sale_Contracts_with_mapping.csv Normal file
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@@ -0,0 +1,97 @@
source_id,source_line_id,number,reference,our_reference,party_name,currency_code,sale_date,payment_term,warehouse_code,weight_basis,tol_min_pct,tol_max_pct,tol_min_qty,tol_max_qty,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,origin,line_quantity,line_unit_code,line_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date,trader,operator,concentration,book,strategy,period_at,demurrage,laytime_hours,nor_extra_hours,pumping_rate,use_only_min_max,drop_remaining_quantity
66D5F597-97BD-4EFD-A2A9-038BF6C73226,66D5F597-97BD-4EFD-A2A9-038BF6C73226,2059,25013B,S25.022,SUMITOMO CORPORATION THAILAND LTD.,USD,10/29/2025,NET 30,,NCSW,0,0,3600,3600,Naoshima,Samut Prakan,CFR,manual,,2059 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,3600,Mt,92.63,3600 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
54D2F300-3171-44F0-AED3-06CE02EB52CD,54D2F300-3171-44F0-AED3-06CE02EB52CD,1979,24980C,S25.009,INTERACID TRADING (CHILE) S.A.,USD,5/15/2025,NET ,,NCSW,0.15,0.15,6800,6820.844,YIZHENG,Mejillones,CFR,manual,,1979 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,6810.42,Mt,151,6810.42 Mt of sulphuric acid - Tel-quel,5/30/2025,6/15/2025,bldate,6/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
E26CDF3E-2D71-4BA7-9F44-0754E467AEE4,E26CDF3E-2D71-4BA7-9F44-0754E467AEE4,1990,24998,S25.022,PT PUPUK ISKANDAR MUDA (PIM),USD,7/2/2025,NET ,,NCSW,0,10,7000,7700,Onahama,LHOKSEUMAWE,CFR,manual,,1990 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,7000,Mt,122,7000 Mt of sulphuric acid - Tel-quel,8/21/2025,8/30/2025,bldate,8/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,150,0,1
A81C611E-4FB4-4424-AF6F-09288C5DA260,A81C611E-4FB4-4424-AF6F-09288C5DA260,1865,24993,S25.007 - 5'400MT,INTERACID TRADING (CHILE) S.A.,USD,12/2/2024,NET ,,NCSW,3.8,3.8,5004.264,5400,Onsan,Mejillones,CFR,manual,,1865 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-South Korea,South Korea,5202.13,Mt,155.25,5202.13 Mt of sulphuric acid - Tel-quel,8/7/2025,8/15/2025,bldate,8/7/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
1337C892-B044-4D49-A407-10A48642248B,1337C892-B044-4D49-A407-10A48642248B,2029,25004,S25.009,INTERACID TRADING (CHILE) S.A.,USD,8/29/2025,NET ,,NCSW,0,0,7000,7000,,Mejillones,CFR,manual,,2029 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,,7000,Mt,151,7000 Mt of sulphuric acid - Tel-quel,10/5/2025,10/14/2025,bldate,10/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
E8649BF7-509E-4331-B68E-11ADCD4D47BD,E8649BF7-509E-4331-B68E-11ADCD4D47BD,1857,24984,S25.002 - 2/4,WILSON INTERNATIONAL TRADING PRIVATE LTD,USD,11/18/2024,NET ,,NCSW,10,10,18000,22000,Saganoseki,Tuticorin,CFR,manual,,1857 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,89.5,20000 Mt of sulphuric acid - Tel-quel,6/9/2025,6/19/2025,bldate,6/12/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,250,0,1
A0212DCA-F052-41B9-8E65-12C02F7DAD93,A0212DCA-F052-41B9-8E65-12C02F7DAD93,2024,25002B,S25.030,WILSON INTERNATIONAL TRADING PRIVATE LTD,USD,8/14/2025,NET ,,NCSW,0,0,10000,10000,Fangcheng,Tuticorin,CFR,manual,,2024 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,109,10000 Mt of sulphuric acid - Tel-quel,10/10/2025,10/30/2025,bldate,10/26/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,250,1,1
C37652E5-6428-4FA0-A96F-15B4FD202D8C,C37652E5-6428-4FA0-A96F-15B4FD202D8C,2154,25022BC,,COROMANDEL INTERNATIONAL LTD,USD,1/5/2026,NET ,,NCSW,2.62,2.62,13000,13699.574,YIZHENG,Kakinada,CFR,manual,,2154 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,13349.79,Mt,150,13349.8 Mt of sulphuric acid - Tel-quel,11/20/2025,1/5/2026,bldate,11/29/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,1,1
1878BFAA-DD1E-4DDE-AFD6-16A140779834,1878BFAA-DD1E-4DDE-AFD6-16A140779834,1872,24990B,S25.009,INTERACID TRADING (CHILE) S.A.,USD,12/5/2024,NET ,,NCSW,0,0,18000,18000,Fangcheng,Mejillones,CFR,manual,,1872 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,18000,Mt,151,18000 Mt of sulphuric acid - Tel-quel,9/1/2025,9/30/2025,bldate,9/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
6479690A-1F96-40C6-9BF5-18EF976F1A23,6479690A-1F96-40C6-9BF5-18EF976F1A23,1981,24987,,SUMITOMO AUSTRALIA,USD,5/15/2025,NET 30,,NCSW,0,10,10000,11000,YIZHENG,Gladstone,CFR,manual,,1981 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,156,10000 Mt of sulphuric acid - Tel-quel,6/8/2025,6/18/2025,bldate,6/8/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
5CF1D8F3-B422-4A75-BDAE-1906180D0686,5CF1D8F3-B422-4A75-BDAE-1906180D0686,1863,25001B,S25.006,INTERACID TRADING (CHILE) S.A.,USD,12/2/2024,NET ,,NCSW,0,0,3013.861,3013.861,Rugao,Mejillones,CFR,manual,,1863 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,3013.86,Mt,153.75,3013.86 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
8DFF92DE-7487-464C-8AFC-19968680C1A6,8DFF92DE-7487-464C-8AFC-19968680C1A6,2035,25020B,S25.027,INTERACID TRADING (CHILE) S.A.,USD,9/5/2025,NET 30,,NCSW,0,0,1000,1000,Fangcheng,Mejillones,CFR,manual,,2035 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,1000,Mt,166.5,1000 Mt of sulphuric acid - Tel-quel,12/24/2025,1/5/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
98E12607-43B1-4CDE-B90D-1CE85520DC5B,98E12607-43B1-4CDE-B90D-1CE85520DC5B,2010,25019A,,SUMITOMO AUSTRALIA,USD,7/23/2025,NET ,,NCSW,10,10,6750,8250,Taichung,Gladstone,CFR,manual,,2010 / H2SO4 FY 2025 / Default,line,H2SO4,,7500,Mt,188,7500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,0,350,0,1
62DF7DF0-B346-4D51-B68B-1F60D3D156FF,62DF7DF0-B346-4D51-B68B-1F60D3D156FF,1860,24991,S25.003,INTERACID TRADING (CHILE) S.A.,USD,11/18/2024,NET 30,,NCSW,10,10,13500,16500,Callao,Mejillones,CFR,manual,,1860 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,15000,Mt,154,15000 Mt of sulphuric acid - Tel-quel,7/1/2025,7/10/2025,bldate,7/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,0,1
7AE95778-8A2E-4C29-9A7F-20D97E96135D,7AE95778-8A2E-4C29-9A7F-20D97E96135D,1864,24986B,S25.005,INTERACID TRADING (CHILE) S.A.,USD,12/2/2024,NET 30,,NCSW,0,0,7002.904,7002.904,Fangcheng,Mejillones,CFR,manual,,1864 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,7002.9,Mt,151.5,7002.9 Mt of sulphuric acid - Tel-quel,7/5/2025,7/20/2025,bldate,7/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
B235588D-27C5-4BA0-BEBE-2118CE9E4066,B235588D-27C5-4BA0-BEBE-2118CE9E4066,2055,25012,S25.028,INTERACID TRADING (CHILE) S.A.,USD,10/27/2025,NET ,,NCSW,0,0,6000,6000,Antwerpen,Mejillones,CFR,manual,,2055 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Switzerland,Switzerland,6000,Mt,166.5,6000 Mt of sulphuric acid - Tel-quel,11/1/2025,11/30/2025,bldate,11/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,0
6E2B3633-FD54-48E1-AB85-21CA60985DB5,6E2B3633-FD54-48E1-AB85-21CA60985DB5,2022,25011E,S25.028,INTERACID TRADING (CHILE) S.A.,USD,8/13/2025,NET 30,,NCSW,0,0,3761.818,3761.818,Pori,Mejillones,CFR,manual,,2022 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,3761.82,Mt,166.5,3761.82 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
8A8829E9-FDFC-4313-A2ED-2247AE21DF9E,8A8829E9-FDFC-4313-A2ED-2247AE21DF9E,1882,24970,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,1882 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,112.07,20000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
E3939A75-BA84-4372-95F6-229A1B93E0FD,E3939A75-BA84-4372-95F6-229A1B93E0FD,2036,24997B,S25.013,"INTERACID NORTH AMERICA, INC (Beaumont)",USD,9/8/2025,NET 30,,NCSW,0,0,16991.693,16991.693,Pori,Beaumont,CFR,manual,,2036 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,16991.69,Mt,134.16,16991.7 Mt of sulphuric acid - Tel-quel,8/22/2025,9/4/2025,bldate,9/4/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,1,1
95054417-F7E7-4B2E-8C30-2326D09A2A7F,95054417-F7E7-4B2E-8C30-2326D09A2A7F,1969,24988,S25.020,"TRICON ENERGY, LTD",USD,4/16/2025,NET 30,,NCSW,5,5,18050,19950,Pori,Pori,FOB,manual,,1969 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19000,Mt,100.5,19000 Mt of sulphuric acid - Tel-quel,6/25/2025,7/1/2025,bldate,6/25/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,450,0,1
D1D5873F-AEE8-4FC3-8E3E-246C0690E421,D1D5873F-AEE8-4FC3-8E3E-246C0690E421,2041,25010,S25.032,"INTERACID NORTH AMERICA, INC (Tampa)",USD,9/26/2025,NET 30,,NCSW,5,5,18050,19950,Bandirma,Tampa,CFR,manual,,2041 / H2SO4 FY 2025 / Default,line,H2SO4-Turkey,Turkey,19000,Mt,105,19000 Mt of sulphuric acid - Tel-quel,10/15/2025,10/25/2025,bldate,10/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
750C37B2-488A-4649-A246-2B1F75D1E973,750C37B2-488A-4649-A246-2B1F75D1E973,1900,24980A,S25.011,INTERACID TRADING (CHILE) S.A.,USD,12/5/2024,NET 30,,NCSW,5,5,19000,21000,YIZHENG,Mejillones,CFR,manual,,1900 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,20000,Mt,179,20000 Mt of sulphuric acid - Tel-quel,5/30/2025,6/15/2025,bldate,6/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
1E35F517-989C-41A2-9A31-2B22AD6CC378,1E35F517-989C-41A2-9A31-2B22AD6CC378,2011,25022A,,COROMANDEL INTERNATIONAL LTD,USD,7/23/2025,NET ,,NCSW,0,0,6000,6000,YIZHENG,Visakhapatnam,CFR,manual,,2011 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,6000,Mt,150,6000 Mt of sulphuric acid - Tel-quel,11/20/2025,1/5/2026,bldate,11/29/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,1,1
8C859564-DBBD-4B8B-8D05-2B545E56759F,8C859564-DBBD-4B8B-8D05-2B545E56759F,2108,LXML FEB 2026,S25.010,SUMITOMO CORPORATION THAILAND LTD.,USD,12/5/2025,NET ,,NCSW,0,0,5000,5000,Naoshima,Samut Prakan,CFR,manual,,2108 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,0,5000 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,0
F98601FE-6702-45D5-8162-2EC487DFB70F,F98601FE-6702-45D5-8162-2EC487DFB70F,1899,24971A,S25.011,INTERACID TRADING (CHILE) S.A.,USD,12/5/2024,NET 30,,NCSW,5,5,19000,21000,Fangcheng,Mejillones,CFR,manual,,1899 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,20000,Mt,168.5367,20000 Mt of sulphuric acid - Tel-quel,4/13/2025,5/2/2025,bldate,4/13/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
0CD8121A-C444-4A99-B628-325C172F8BCE,0CD8121A-C444-4A99-B628-325C172F8BCE,1886,24985,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,1886 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,113.6,20000 Mt of sulphuric acid - Tel-quel,6/15/2025,6/30/2025,bldate,6/17/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
1D38048B-3374-47B2-BF0D-33107388AB66,1D38048B-3374-47B2-BF0D-33107388AB66,1974,24983,,SAS International LLC,USD,4/22/2025,NET 20,,NCSW,3.3,3.3,11000,11750,YIZHENG,Jorf Lasfar,FOB,manual,,1974 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,11375,Mt,74,11375 Mt of sulphuric acid - Tel-quel,5/15/2025,5/24/2025,bldate,5/15/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,0,300,1,1
B68DEB06-187A-4254-A4DF-334F1BCB36AC,B68DEB06-187A-4254-A4DF-334F1BCB36AC,2054,25018,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,10/16/2025,NET 30,,NCSW,10,10,17100,20900,Naoshima,Stockton,CFR,manual,,2054 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,19000,Mt,141.11,19000 Mt of sulphuric acid - Tel-quel,12/15/2025,12/24/2025,bldate,12/20/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
80856C25-A3C3-48A7-A4F3-3539EF7361C1,80856C25-A3C3-48A7-A4F3-3539EF7361C1,2075,25020C,S26.003,INTERACID TRADING (CHILE) S.A.,USD,11/17/2025,NET 30,,NCSW,0,0,6000,6000,Fangcheng,Mejillones,CFR,manual,,2075 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,6000,Mt,173,6000 Mt of sulphuric acid - Tel-quel,12/25/2025,1/5/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
EE5C012C-90A6-482A-8A2F-354016B9F912,EE5C012C-90A6-482A-8A2F-354016B9F912,2163,25026B,S26.010,INTERACID TRADING (CHILE) S.A.,USD,1/19/2026,NET ,,NCSW,0,0,2761.818,2761.818,Callao,Mejillones,CFR,manual,,2163 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,2761.82,Mt,172,2761.82 Mt of sulphuric acid - Tel-quel,1/29/2026,2/9/2026,bldate,1/29/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
2C2E3879-D5F1-4039-A2D1-35C1F243DCDC,2C2E3879-D5F1-4039-A2D1-35C1F243DCDC,2026,25011C,S25.003,INTERACID TRADING (CHILE) S.A.,USD,8/25/2025,NET 30,,NCSW,0,0,989.659,989.659,Callao,Mejillones,CFR,manual,,2026 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,989.66,Mt,154,989.659 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
DB8FA818-430A-4783-91A7-41B4A9D82C7B,DB8FA818-430A-4783-91A7-41B4A9D82C7B,1982,25001C,S25.023,INTERACID TRADING (CHILE) S.A.,USD,6/2/2025,NET ,,NCSW,0,0,5000,5000,Rugao,Mejillones,CFR,manual,,1982 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,5000,Mt,161.5,5000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
956A2622-D5C4-4EB0-9780-4227829661DD,956A2622-D5C4-4EB0-9780-4227829661DD,1952,24977,S25.006,INTERACID TRADING (CHILE) S.A.,USD,3/3/2025,NET 30,,NCSW,1.69,1.69,14500,15000,Callao,Mejillones,CIF,manual,,1952 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14750,Mt,153.75,14750 Mt of sulphuric acid - Tel-quel,4/18/2025,4/28/2025,bldate,4/18/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
92423C06-CBEB-4032-B848-4634C7640B46,92423C06-CBEB-4032-B848-4634C7640B46,2037,25011D,S25.031,INTERACID TRADING (CHILE) S.A.,USD,9/23/2025,NET 30,,NCSW,0,0,5000,5000,Pori,Mejillones,CFR,manual,,2037 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,5000,Mt,150,5000 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
5B7A5B00-78A5-48E4-BB20-467AC75FA58C,5B7A5B00-78A5-48E4-BB20-467AC75FA58C,2152,25020E,S26.012,INTERACID TRADING (CHILE) S.A.,USD,1/5/2026,NET 30,,NCSW,33.39,33.39,2996.46,6000,Fangcheng,Mejillones,CFR,manual,,2152 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,4498.23,Mt,172,4498.23 Mt of sulphuric acid - Tel-quel,12/25/2025,1/5/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
3746BE78-C40E-44C9-9435-4997BED9B2E5,3746BE78-C40E-44C9-9435-4997BED9B2E5,1923,24974A,S25.012,INTERACID TRADING (CHILE) S.A.,USD,12/19/2024,NET 30,,NCSW,0,0,12000,12000,Ilo,Mejillones,CFR,manual,,1923 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Mexico,Mexico,12000,Mt,145,12000 Mt of sulphuric acid - Tel-quel,5/5/2025,5/11/2025,bldate,5/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
B0D34AB6-6D63-48A7-9A44-4D70E76DC9DF,B0D34AB6-6D63-48A7-9A44-4D70E76DC9DF,2169,NFC - PROMMITR Feb/mar,S25.022,NFC PUBLIC COMPANY LTD - PROMMITR,USD,2/11/2026,NET ,,NCSW,0,0,2100,2100,Naoshima,Map Ta Phut,CFR,manual,,2169 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2100,Mt,0,2100 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,0
0BDB0387-1BD5-4089-997E-4E65C3159FC9,0BDB0387-1BD5-4089-997E-4E65C3159FC9,2089,25015,S26.007,"INTERACID NORTH AMERICA, INC (Tampa)",USD,11/21/2025,NET 30,,NCSW,5,5,18050,19950,Ronnskar,Beaumont,CFR,manual,,2089 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19000,Mt,133,19000 Mt of sulphuric acid - Tel-quel,11/25/2025,12/4/2025,bldate,11/25/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
F1443208-2B7D-4608-97F5-54E286DED73B,F1443208-2B7D-4608-97F5-54E286DED73B,2164,25027,S26.010,INTERACID TRADING (CHILE) S.A.,USD,1/19/2026,NET 30,,NCSW,0,0,13500,13500,Laizhou,Mejillones,CFR,manual,,2164 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,13500,Mt,172,13500 Mt of sulphuric acid - Tel-quel,2/15/2026,2/26/2026,bldate,2/15/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,0
8504C8B4-FA3D-472F-A480-598E8603025B,8504C8B4-FA3D-472F-A480-598E8603025B,2023,25006,S25.016,"Agrifields DMCC, Dubai",USD,8/14/2025,NET ,,NCSW,5,5,9500,10500,Rugao,Isabel,CIF,manual,,2023 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,110,10000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,200,0,1
F7599096-F3E6-4C9B-8BBF-5AE632CD5BC7,F7599096-F3E6-4C9B-8BBF-5AE632CD5BC7,2119,25020D,S26.003,INTERACID TRADING (CHILE) S.A.,USD,12/9/2025,NET 30,,NCSW,0,0,3000,3000,Fangcheng,Mejillones,CFR,manual,,2119 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,3000,Mt,173,3000 Mt of sulphuric acid - Tel-quel,12/25/2025,1/6/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
64BC5C49-3E1C-4539-883D-61B88878FD68,64BC5C49-3E1C-4539-883D-61B88878FD68,2074,25026,S26.004,INTERACID TRADING (CHILE) S.A.,USD,11/12/2025,NET 30,,NCSW,0,0,14000,14000,,Mejillones,CFR,manual,,2074 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,14000,Mt,168.75,14000 Mt of sulphuric acid - Tel-quel,1/29/2026,2/9/2026,bldate,1/29/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
24B02E69-1AEA-43D8-B61B-61D530C93990,24B02E69-1AEA-43D8-B61B-61D530C93990,1669,24986A,S25.009,INTERACID TRADING (CHILE) S.A.,USD,2/29/2024,NET 30,,NCSW,0,0,20997.096,20997.096,Fangcheng,Mejillones,CFR,manual,,1669 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,20997.1,Mt,151,20997.1 Mt of sulphuric acid - Tel-quel,7/5/2025,7/20/2025,bldate,7/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
DA1CF8A6-AF4B-4CA8-AD7F-626E8CA9BAB2,DA1CF8A6-AF4B-4CA8-AD7F-626E8CA9BAB2,1961,24973B,S25.009 - 120kt,INTERACID TRADING (CHILE) S.A.,USD,4/2/2025,NET 30,,NCSW,0,0,20,20,Callao,Mejillones,CFR,manual,,1961 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,20,Mt,151,20 Mt of sulphuric acid - Tel-quel,3/20/2025,4/4/2025,bldate,4/3/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
A146D2F0-B3BD-46D1-860F-6372963A9E34,A146D2F0-B3BD-46D1-860F-6372963A9E34,1996,25024A,S25.022,NFC PUBLIC COMPANY LTD - PROMMITR,USD,7/2/2025,NET 30,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,CFR,manual,,1996 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,132.91,5000 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
C5B9F1F5-9A11-429B-8D6F-63BA7EFB01C1,C5B9F1F5-9A11-429B-8D6F-63BA7EFB01C1,1874,25011A,S25.009,INTERACID TRADING (CHILE) S.A.,USD,12/5/2024,NET 30,,NCSW,0,0,8090.858,8090.858,Pori,Mejillones,CFR,manual,,1874 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,8090.86,Mt,151,8090.86 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
95E2978F-EE5F-4DA8-A68C-63CE130FDB3C,95E2978F-EE5F-4DA8-A68C-63CE130FDB3C,2021,25016,S25.027,INTERACID TRADING (CHILE) S.A.,USD,8/12/2025,NET 30,,NCSW,3.33,3.33,14500,15500,Callao,Mejillones,CFR,manual,,2021 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Peru,Peru,15000,Mt,166.5,15000 Mt of sulphuric acid - Tel-quel,12/3/2025,12/13/2025,bldate,12/3/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,1
58F2BAC4-54FE-4FB7-A986-67490F1F2362,58F2BAC4-54FE-4FB7-A986-67490F1F2362,2004,25020A,S26.005,INTERACID TRADING (CHILE) S.A.,USD,11/17/2025,NET 30,,NCSW,5.26,5.26,18000,20000,Fangcheng,Mejillones,CFR,manual,,2004 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,19000,Mt,178,19000 Mt of sulphuric acid - Tel-quel,12/24/2025,1/5/2026,bldate,1/5/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
2F8EBC2B-DA6C-4317-9709-6A6E8DA0E7D7,2F8EBC2B-DA6C-4317-9709-6A6E8DA0E7D7,2020,25001D,S25.009,INTERACID TRADING (CHILE) S.A.,USD,8/11/2025,NET ,,NCSW,18.64,18.64,2400,3500,Rugao,Mejillones,CFR,manual,,2020 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,2950,Mt,151,2950 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
6720D794-1509-42A2-8C30-6BFC83E30CC8,6720D794-1509-42A2-8C30-6BFC83E30CC8,1994,25013A,S25.022,NFC PUBLIC COMPANY LTD - PROMMITR,USD,7/2/2025,NET ,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,CFR,manual,,1994 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,89.62,5000 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
F858EE88-3AF3-45AB-99F4-6CE3A3B5C388,F858EE88-3AF3-45AB-99F4-6CE3A3B5C388,2165,25028C,S26.006,INTERACID TRADING (CHILE) S.A.,USD,1/19/2026,NET 30,,NCSW,0,0,6770.364,6770.364,,Mejillones,CFR,manual,,2165 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,,6770.36,Mt,172.5,6770.36 Mt of sulphuric acid - Tel-quel,2/19/2026,2/28/2026,bldate,2/19/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,0
4915E268-8C1A-4D13-A41C-6D7727F888DF,4915E268-8C1A-4D13-A41C-6D7727F888DF,2092,25028B,S26.008 - 5'100MT,INTERACID TRADING (CHILE) S.A.,USD,12/1/2025,NET 30,,NCSW,0,0,5100,5100,,Mejillones,CFR,manual,,2092 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,5100,Mt,174.75,5100 Mt of sulphuric acid - Tel-quel,2/20/2026,2/28/2026,bldate,2/20/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,0
8133993D-4139-489E-BCC7-724984D2E9A8,8133993D-4139-489E-BCC7-724984D2E9A8,1960,24978,S25.018,"INTERACID NORTH AMERICA, INC (Beaumont)",USD,3/28/2025,NET 30,,NCSW,10,10,17100,20900,Bandirma,Beaumont,CFR,manual,,1960 / H2SO4 FY 2025 / Default,line,H2SO4-Turkey,Turkey,19000,Mt,141.9,19000 Mt of sulphuric acid - Tel-quel,4/28/2025,5/8/2025,bldate,5/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
E254C586-E637-4ED8-B518-74555103DBB1,E254C586-E637-4ED8-B518-74555103DBB1,1948,24972B,S24.025,SUMITOMO CORPORATION THAILAND LTD.,USD,2/26/2025,NET ,,NCSW,0,0,2700,2700,Onahama,Samut Prakan,CFR,manual,,1948 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2700,Mt,82.85,2700 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
4A840D36-9667-4627-87BB-774990BEA3EA,4A840D36-9667-4627-87BB-774990BEA3EA,1950,24971B,S25.005,INTERACID TRADING (CHILE) S.A.,USD,3/3/2025,NET 30,,NCSW,13.04,13.04,10000,13000,Fangcheng,Mejillones,CFR,manual,,1950 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,11500,Mt,151.5,11500 Mt of sulphuric acid - Tel-quel,4/13/2025,5/2/2025,bldate,4/13/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
D3624F6F-03B4-4C34-A059-790D82BEDF14,D3624F6F-03B4-4C34-A059-790D82BEDF14,1951,24974B,S25.006,INTERACID TRADING (CHILE) S.A.,USD,3/3/2025,NET ,,NCSW,0,0,2479.256,2479.256,Ilo,Mejillones,CFR,manual,,1951 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Mexico,Mexico,2479.26,Mt,153.75,2479.26 Mt of sulphuric acid - Tel-quel,5/5/2025,5/11/2025,bldate,5/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
A644740E-F2FA-4057-862A-7A109E2C24B7,A644740E-F2FA-4057-862A-7A109E2C24B7,1858,24992,S25.002 - 3/4,WILSON INTERNATIONAL TRADING PRIVATE LTD,USD,11/18/2024,NET 30,,NCSW,10,10,18000,22000,Rugao,Tuticorin,CFR,manual,,1858 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,20000,Mt,89.5,20000 Mt of sulphuric acid - Tel-quel,7/18/2025,7/30/2025,bldate,7/18/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,250,0,1
C3FA8621-31AA-4F00-A27F-7A1E856AC0E4,C3FA8621-31AA-4F00-A27F-7A1E856AC0E4,1762,24972A,S24.025,NFC PUBLIC COMPANY LTD - PROMMITR,USD,5/15/2024,NET ,,NCSW,0,0,5000,5000,,Map Ta Phut,CFR,manual,,1762 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,86.3,5000 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
1BE70D36-8272-405A-9820-7AF8F7B70D95,1BE70D36-8272-405A-9820-7AF8F7B70D95,2132,NFC - PROMMITR Feb,S25.022,NFC PUBLIC COMPANY LTD - PROMMITR,USD,12/29/2025,NET 30,,NCSW,0,0,2400,2400,,Map Ta Phut,CFR,manual,,2132 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2400,Mt,0,2400 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,0
B3A78D90-FADD-4004-A50C-7CCA6FB8A785,B3A78D90-FADD-4004-A50C-7CCA6FB8A785,2046,25007C,S25.022,SUMITOMO CORPORATION THAILAND LTD.,USD,9/26/2025,NET 30,,NCSW,0,0,1000,1000,Naoshima,Samut Prakan,CFR,manual,,2046 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,1000,Mt,91.93,1000 Mt of sulphuric acid - Tel-quel,9/30/2025,10/5/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
5A0514CB-E74F-4149-A4CE-82367A3F75C8,5A0514CB-E74F-4149-A4CE-82367A3F75C8,2025,25011B,S25.007 - 5'400MT,INTERACID TRADING (CHILE) S.A.,USD,8/18/2025,NET ,,NCSW,0,0,395.746,395.746,Pori,Mejillones,CFR,manual,,2025 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,395.75,Mt,155.25,395.746 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
22557B77-FE65-455C-B6D0-8764AD98F44F,22557B77-FE65-455C-B6D0-8764AD98F44F,1892,24999,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Hibi,Stockton,CFR,manual,,1892 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,111.25,20000 Mt of sulphuric acid - Tel-quel,9/7/2025,9/22/2025,bldate,9/7/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
5D7BCD40-5B9B-4916-BCFC-879853C515A2,5D7BCD40-5B9B-4916-BCFC-879853C515A2,2048,25014,S25.034,"INTERACID NORTH AMERICA, INC (Tampa)",USD,9/26/2025,NET 30,,NCSW,5,5,18050,19950,Huelva,Tampa,CFR,manual,,2048 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,108.9,19000 Mt of sulphuric acid - Tel-quel,11/14/2025,11/20/2025,bldate,11/14/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,0,1
476625FC-678E-4C66-A624-8E19B7CD62B1,476625FC-678E-4C66-A624-8E19B7CD62B1,2002,24995,S25.023,INTERACID TRADING (CHILE) S.A.,USD,7/21/2025,NET 30,,NCSW,0,0,5500,5500,YIZHENG,Mejillones,CFR,manual,,2002 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,5500,Mt,161.5,5500 Mt of sulphuric acid - Tel-quel,8/19/2025,8/26/2025,bldate,8/19/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
B71AD060-A147-4C3E-8862-99F6074CA991,B71AD060-A147-4C3E-8862-99F6074CA991,2056,25026C,S25.028,INTERACID TRADING (CHILE) S.A.,USD,10/27/2025,NET 20,,NCSW,0,0,238.182,238.182,Pori,Mejillones,CFR,manual,,2056 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,238.18,Mt,166.5,238.182 Mt of sulphuric acid - Tel-quel,1/1/2026,1/31/2026,bldate,1/1/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
F667050F-DCF4-469D-A929-9A29664F47E8,F667050F-DCF4-469D-A929-9A29664F47E8,1927,24997A,S25.013,"INTERACID NORTH AMERICA, INC (Beaumont)",USD,12/20/2024,NET ,,NCSW,0,0,7000,7000,Pori,Tampa,CFR,manual,,1927 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,7000,Mt,134.16,7000 Mt of sulphuric acid - Tel-quel,8/22/2025,9/4/2025,bldate,9/4/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,300,1,1
D810DBBB-905E-4CEB-B51A-9FF1B74E9E8B,D810DBBB-905E-4CEB-B51A-9FF1B74E9E8B,2106,25024C,S25.010,SUMITOMO CORPORATION THAILAND LTD.,USD,12/4/2025,NET 30,,NCSW,0,0,3600,3600.2,Naoshima,Samut Prakan,CFR,manual,,2106 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,3600.1,Mt,82.4,3600.1 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
CA5FAFBE-D721-4475-BE14-A8CAE2F722FF,CA5FAFBE-D721-4475-BE14-A8CAE2F722FF,1992,25007A,S25.022,NFC PUBLIC COMPANY LTD - PROMMITR,USD,7/2/2025,NET 30,,NCSW,0,0,5000,5000,Naoshima,Map Ta Phut,CFR,manual,,1992 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,92.29,5000 Mt of sulphuric acid - Tel-quel,9/30/2025,10/5/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
561448D8-F135-4120-AE13-A92FEC264793,561448D8-F135-4120-AE13-A92FEC264793,1985,24994,S25.025,WILSON INTERNATIONAL TRADING PRIVATE LTD,USD,6/10/2025,NET ,,NCSW,16.28,16.28,18000,25000,YIZHENG,Tuticorin,CFR,manual,,1985 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,21500,Mt,127.5,21500 Mt of sulphuric acid - Tel-quel,8/16/2025,8/28/2025,bldate,8/16/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,250,1,1
2CDC3D15-AA94-4E61-A0E3-B099028D3820,2CDC3D15-AA94-4E61-A0E3-B099028D3820,1890,24989,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Hibi,Stockton,CFR,manual,,1890 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,111,20000 Mt of sulphuric acid - Tel-quel,7/12/2025,7/25/2025,bldate,7/12/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
B2E3C472-214E-44AA-90C8-B3F724BCECCC,B2E3C472-214E-44AA-90C8-B3F724BCECCC,1901,25001A,S25.011,INTERACID TRADING (CHILE) S.A.,USD,12/5/2024,NET ,,NCSW,5,5,19000,21000,Rugao,Mejillones,CFR,manual,,1901 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,20000,Mt,144.5,20000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,0,1
A1F4F994-9973-4C9B-8388-B73C867BBA4E,A1F4F994-9973-4C9B-8388-B73C867BBA4E,1859,25002A,S25.002 - 4/4,WILSON INTERNATIONAL TRADING PRIVATE LTD,USD,11/18/2024,NET ,,NCSW,10,10,18000,22000,Fangcheng,Tuticorin,CFR,manual,,1859 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,20000,Mt,89.5,20000 Mt of sulphuric acid - Tel-quel,10/10/2025,10/30/2025,bldate,10/26/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,250,0,1
535991DB-A1C1-468A-A0FD-BBDC2A472D10,535991DB-A1C1-468A-A0FD-BBDC2A472D10,1930,25005,S25.013,"INTERACID NORTH AMERICA, INC (Beaumont)",USD,12/20/2024,NET 30,,NCSW,3.9,3.9,18500,20000,Ronnskar,Beaumont,CFR,manual,,1930 / H2SO4 FY 2025 / Default,line,H2SO4-Finland,Finland,19250,Mt,115.31,19250 Mt of sulphuric acid - Tel-quel,10/11/2025,10/20/2025,bldate,10/11/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,1,1
31E490C4-9FDC-49FA-8FC6-BE2492F40E8F,31E490C4-9FDC-49FA-8FC6-BE2492F40E8F,1955,24975,S25.016,"Agrifields DMCC, Dubai",USD,3/19/2025,NET ,,NCSW,10,10,9000,11000,Rugao,Isabel,CIF,manual,,1955 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,10000,Mt,98.5,10000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/7/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,200,0,1
596AB953-7CF3-4D54-A1BB-C166D124DA0D,596AB953-7CF3-4D54-A1BB-C166D124DA0D,2098,25024B,S25.022,SUMITOMO CORPORATION THAILAND LTD.,USD,12/3/2025,NET 30,,NCSW,0,0,1899.669,1899.669,Naoshima,Samut Prakan,CFR,manual,,2098 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,1899.67,Mt,97.63,1899.67 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
D8EC09D9-A4D6-454B-A28F-C2D4EE6DA43B,D8EC09D9-A4D6-454B-A28F-C2D4EE6DA43B,2045,25007B,S25.022,SUMITOMO CORPORATION THAILAND LTD.,USD,9/26/2025,NET 30,,NCSW,20,20,1600,2400,Naoshima,Samut Prakan,CFR,manual,,2045 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2000,Mt,91.56,2000 Mt of sulphuric acid - Tel-quel,9/30/2025,10/5/2025,bldate,10/1/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
2EE91F22-B849-45EA-B730-C46E5ADF0A42,2EE91F22-B849-45EA-B730-C46E5ADF0A42,1968,24980B,S25.019,INTERACID TRADING (CHILE) S.A.,USD,4/6/2025,NET ,,NCSW,0,0,4000,4000,YIZHENG,Mejillones,CFR,manual,,1968 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,4000,Mt,166.5,4000 Mt of sulphuric acid - Tel-quel,5/30/2025,6/15/2025,bldate,6/2/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
AD02F6AD-7BC9-4C74-A0DB-C522F8849811,AD02F6AD-7BC9-4C74-A0DB-C522F8849811,1940,24986C,S25.015,INTERACID TRADING (CHILE) S.A.,USD,1/23/2025,NET ,,NCSW,0,0,5000,5000,Fangcheng,Mejillones,CFR,manual,,1940 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,5000,Mt,151,5000 Mt of sulphuric acid - Tel-quel,7/5/2025,7/20/2025,bldate,7/5/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
2866889F-60E9-4F99-A683-C61DFC477384,2866889F-60E9-4F99-A683-C61DFC477384,2123,25021,S26.014,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/10/2025,NET ,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,2123 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,137.22,20000 Mt of sulphuric acid - Tel-quel,1/7/2026,1/21/2026,bldate,1/7/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
55170A07-EF66-444B-BA8B-C8DBEC2B798C,55170A07-EF66-444B-BA8B-C8DBEC2B798C,1888,24996,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Hibi,Stockton,CFR,manual,,1888 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,110.65,20000 Mt of sulphuric acid - Tel-quel,8/15/2025,8/29/2025,bldate,8/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
514D2631-3EE9-4823-AFF9-D35FD04FA837,514D2631-3EE9-4823-AFF9-D35FD04FA837,1973,24982/A,,NFC PUBLIC COMPANY LTD - PROMMITR,USD,4/17/2025,NET ,,NCSW,0,0,5000,5000,Onahama,Map Ta Phut,CFR,manual,,1973 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,5000,Mt,81.55,5000 Mt of sulphuric acid - Tel-quel,5/8/2025,5/16/2025,bldate,5/9/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,0
38807FED-CFCB-46A4-92CB-D486FF03A0E9,38807FED-CFCB-46A4-92CB-D486FF03A0E9,2127,25029,S26.014,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/18/2025,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,2127 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,138.5,20000 Mt of sulphuric acid - Tel-quel,2/26/2026,3/12/2026,bldate,2/26/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,0
AA26D240-DE88-4CFB-8F10-D87906F8F06D,AA26D240-DE88-4CFB-8F10-D87906F8F06D,1884,24979,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,1884 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,115,20000 Mt of sulphuric acid - Tel-quel,5/18/2025,5/31/2025,bldate,5/18/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
2AD80800-2F9D-4385-A450-DAFAC03161DC,2AD80800-2F9D-4385-A450-DAFAC03161DC,2078,25028A,S26.005,INTERACID TRADING (CHILE) S.A.,USD,11/17/2025,NET 30,,NCSW,0,0,20000,20000,Longkou,Mejillones,CFR,manual,,2078 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,20000,Mt,185,20000 Mt of sulphuric acid - 100%,2/18/2026,2/28/2026,bldate,2/18/2026,Jeremie Collot, ,100,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,1,0
B8E115F4-A2F0-4A69-9321-DBF8BEC5D4D8,B8E115F4-A2F0-4A69-9321-DBF8BEC5D4D8,2042,25009,S25.033,PT PUPUK ISKANDAR MUDA (PIM),USD,9/26/2025,NET ,,NCSW,10,10,7200,8800,Onahama,LHOKSEUMAWE,CFR,manual,,2042 / H2SO4 FY 2025 / Default,line,H2SO4-China,China,8000,Mt,99,8000 Mt of sulphuric acid - Tel-quel,11/5/2025,11/15/2025,bldate,11/5/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,150,0,1
49A55704-7DD9-4E46-8CAF-DC5CDF378831,49A55704-7DD9-4E46-8CAF-DC5CDF378831,2049,25023,S26.001,"INTERACID NORTH AMERICA, INC (Tampa)",USD,10/3/2025,NET 30,,NCSW,5,5,18050,19950,Huelva,Beaumont,CFR,manual,,2049 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,119.5,19000 Mt of sulphuric acid - Tel-quel,1/12/2026,1/20/2026,bldate,1/12/2026,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
06ABB5D2-FBE7-40C8-9AB1-DE08949B4AFB,06ABB5D2-FBE7-40C8-9AB1-DE08949B4AFB,1861,25000,S25.003,INTERACID TRADING (CHILE) S.A.,USD,11/18/2024,NET ,,NCSW,10,10,13500,16500,Callao,Mejillones,CFR,manual,,1861 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,15000,Mt,154,15000 Mt of sulphuric acid - Tel-quel,8/20/2025,8/30/2025,bldate,8/20/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,400,0,1
E657EC0E-1B75-4358-BE49-DE5E92D1C2EE,E657EC0E-1B75-4358-BE49-DE5E92D1C2EE,1850,24976,S25.001,"INTERACID NORTH AMERICA, INC (Tampa)",USD,11/1/2024,NET 30,,NCSW,5,5,18050,19950,Huelva,Tampa,CFR,manual,,1850 / H2SO4 FY 2025 / Default,line,H2SO4-Spain,Spain,19000,Mt,130.25,19000 Mt of sulphuric acid - Tel-quel,4/15/2025,4/21/2025,bldate,4/15/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,6,350,0,1
1F3BE955-ECEF-4EA9-A017-DF317957E602,1F3BE955-ECEF-4EA9-A017-DF317957E602,1971,24982/B,,SUMITOMO CORPORATION THAILAND LTD.,USD,4/17/2025,NET 30,,NCSW,0,0,2350,2350,Onahama,Samut Prakan,CFR,manual,,1971 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4-Japan,Japan,2350,Mt,86.13,2350 Mt of sulphuric acid - Tel-quel,5/8/2025,5/16/2025,bldate,5/9/2025,Stephane Monnard, ,0,H2SO4 FY 2025,Thailand FY25,Laycan,,0,6,250,1,1
A733030D-A266-4551-BF33-E6364A4EDA36,A733030D-A266-4551-BF33-E6364A4EDA36,2156,25019B,,SUMITOMO AUSTRALIA,USD,1/6/2026,NET 30,,NCSW,10,10,2250,2750,Taichung,Gladstone,CFR,manual,,2156 / H2SO4 FY 2025 / Default,line,H2SO4,,2500,Mt,179,2500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,0,350,0,0
1E8C4039-E74B-4728-B2F6-E8A42FFACEC5,1E8C4039-E74B-4728-B2F6-E8A42FFACEC5,1924,24981,S25.005,INTERACID TRADING (CHILE) S.A.,USD,12/19/2024,NET 30,,NCSW,22.33,22.33,10000,15750,Rugao,Mejillones,CFR,manual,,1924 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,12875,Mt,151.5,12875 Mt of sulphuric acid - Tel-quel,4/28/2025,5/7/2025,bldate,5/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
68013CF3-A4A1-4BE7-96FA-EFF922BDBF62,68013CF3-A4A1-4BE7-96FA-EFF922BDBF62,1958,24990A,S25.017,INTERACID TRADING (CHILE) S.A.,USD,3/21/2025,NET ,,NCSW,0,0,15000,15000,Fangcheng,Mejillones,CFR,manual,,1958 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-China,China,15000,Mt,159,15000 Mt of sulphuric acid - Tel-quel,9/1/2025,9/30/2025,bldate,9/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
10994DA8-B0C7-4847-874D-F2E049D618CA,10994DA8-B0C7-4847-874D-F2E049D618CA,2091,25017,S26.009,"TRICON ENERGY, LTD",USD,12/1/2025,NET 30,,NCSW,5.26,5.26,9000,10000,Pori,Mejillones,CFR,manual,,2091 / H2SO4 FY 2025 / Chile FY25,line,H2SO4-Finland,Finland,9500,Mt,172.5,9500 Mt of sulphuric acid - Tel-quel,12/1/2025,12/31/2025,bldate,12/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Chile FY25,Laycan,,0,6,350,1,1
2BF69450-9BF0-4EEB-A235-F518F4B300DB,2BF69450-9BF0-4EEB-A235-F518F4B300DB,1894,25003,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,1894 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,146.23,20000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
5C4CA64F-F7A1-4599-8B69-F699B4605669,5C4CA64F-F7A1-4599-8B69-F699B4605669,2125,25025,S26.014,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/18/2025,NET 30,,NCSW,10,10,18000,22000,Saganoseki,Stockton,CFR,manual,,2125 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,138.5,20000 Mt of sulphuric acid - Tel-quel,1/30/2026,2/13/2026,bldate,2/3/2026,Stephane Monnard, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
03D21F99-0AA1-4690-8C51-FC6F6FA25BE3,03D21F99-0AA1-4690-8C51-FC6F6FA25BE3,1897,25008,S25.008,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET ,,NCSW,10,10,18000,22000,Hibi,Stockton,CFR,manual,,1897 / H2SO4 FY 2025 / Default,line,H2SO4-Japan,Japan,20000,Mt,140.32,20000 Mt of sulphuric acid - Tel-quel,11/1/2025,11/30/2025,bldate,11/1/2025,Jeremie Collot, ,0,H2SO4 FY 2025,Default,Laycan,,0,12,350,0,1
1 source_id source_line_id number reference our_reference party_name currency_code sale_date payment_term warehouse_code weight_basis tol_min_pct tol_max_pct tol_min_qty tol_max_qty from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code origin line_quantity line_unit_code line_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date trader operator concentration book strategy period_at demurrage laytime_hours nor_extra_hours pumping_rate use_only_min_max drop_remaining_quantity
2 66D5F597-97BD-4EFD-A2A9-038BF6C73226 66D5F597-97BD-4EFD-A2A9-038BF6C73226 2059 25013B S25.022 SUMITOMO CORPORATION THAILAND LTD. USD 10/29/2025 NET 30 NCSW 0 0 3600 3600 Naoshima Samut Prakan CFR manual 2059 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 3600 Mt 92.63 3600 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
3 54D2F300-3171-44F0-AED3-06CE02EB52CD 54D2F300-3171-44F0-AED3-06CE02EB52CD 1979 24980C S25.009 INTERACID TRADING (CHILE) S.A. USD 5/15/2025 NET NCSW 0.15 0.15 6800 6820.844 YIZHENG Mejillones CFR manual 1979 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 6810.42 Mt 151 6810.42 Mt of sulphuric acid - Tel-quel 5/30/2025 6/15/2025 bldate 6/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
4 E26CDF3E-2D71-4BA7-9F44-0754E467AEE4 E26CDF3E-2D71-4BA7-9F44-0754E467AEE4 1990 24998 S25.022 PT PUPUK ISKANDAR MUDA (PIM) USD 7/2/2025 NET NCSW 0 10 7000 7700 Onahama LHOKSEUMAWE CFR manual 1990 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 7000 Mt 122 7000 Mt of sulphuric acid - Tel-quel 8/21/2025 8/30/2025 bldate 8/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 150 0 1
5 A81C611E-4FB4-4424-AF6F-09288C5DA260 A81C611E-4FB4-4424-AF6F-09288C5DA260 1865 24993 S25.007 - 5'400MT INTERACID TRADING (CHILE) S.A. USD 12/2/2024 NET NCSW 3.8 3.8 5004.264 5400 Onsan Mejillones CFR manual 1865 / H2SO4 FY 2025 / Chile FY25 line H2SO4-South Korea South Korea 5202.13 Mt 155.25 5202.13 Mt of sulphuric acid - Tel-quel 8/7/2025 8/15/2025 bldate 8/7/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
6 1337C892-B044-4D49-A407-10A48642248B 1337C892-B044-4D49-A407-10A48642248B 2029 25004 S25.009 INTERACID TRADING (CHILE) S.A. USD 8/29/2025 NET NCSW 0 0 7000 7000 Mejillones CFR manual 2029 / H2SO4 FY 2025 / Chile FY25 line H2SO4 7000 Mt 151 7000 Mt of sulphuric acid - Tel-quel 10/5/2025 10/14/2025 bldate 10/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
7 E8649BF7-509E-4331-B68E-11ADCD4D47BD E8649BF7-509E-4331-B68E-11ADCD4D47BD 1857 24984 S25.002 - 2/4 WILSON INTERNATIONAL TRADING PRIVATE LTD USD 11/18/2024 NET NCSW 10 10 18000 22000 Saganoseki Tuticorin CFR manual 1857 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 89.5 20000 Mt of sulphuric acid - Tel-quel 6/9/2025 6/19/2025 bldate 6/12/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 250 0 1
8 A0212DCA-F052-41B9-8E65-12C02F7DAD93 A0212DCA-F052-41B9-8E65-12C02F7DAD93 2024 25002B S25.030 WILSON INTERNATIONAL TRADING PRIVATE LTD USD 8/14/2025 NET NCSW 0 0 10000 10000 Fangcheng Tuticorin CFR manual 2024 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 109 10000 Mt of sulphuric acid - Tel-quel 10/10/2025 10/30/2025 bldate 10/26/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 250 1 1
9 C37652E5-6428-4FA0-A96F-15B4FD202D8C C37652E5-6428-4FA0-A96F-15B4FD202D8C 2154 25022BC COROMANDEL INTERNATIONAL LTD USD 1/5/2026 NET NCSW 2.62 2.62 13000 13699.574 YIZHENG Kakinada CFR manual 2154 / H2SO4 FY 2025 / Default line H2SO4-China China 13349.79 Mt 150 13349.8 Mt of sulphuric acid - Tel-quel 11/20/2025 1/5/2026 bldate 11/29/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 1 1
10 1878BFAA-DD1E-4DDE-AFD6-16A140779834 1878BFAA-DD1E-4DDE-AFD6-16A140779834 1872 24990B S25.009 INTERACID TRADING (CHILE) S.A. USD 12/5/2024 NET NCSW 0 0 18000 18000 Fangcheng Mejillones CFR manual 1872 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 18000 Mt 151 18000 Mt of sulphuric acid - Tel-quel 9/1/2025 9/30/2025 bldate 9/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
11 6479690A-1F96-40C6-9BF5-18EF976F1A23 6479690A-1F96-40C6-9BF5-18EF976F1A23 1981 24987 SUMITOMO AUSTRALIA USD 5/15/2025 NET 30 NCSW 0 10 10000 11000 YIZHENG Gladstone CFR manual 1981 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 156 10000 Mt of sulphuric acid - Tel-quel 6/8/2025 6/18/2025 bldate 6/8/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
12 5CF1D8F3-B422-4A75-BDAE-1906180D0686 5CF1D8F3-B422-4A75-BDAE-1906180D0686 1863 25001B S25.006 INTERACID TRADING (CHILE) S.A. USD 12/2/2024 NET NCSW 0 0 3013.861 3013.861 Rugao Mejillones CFR manual 1863 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 3013.86 Mt 153.75 3013.86 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
13 8DFF92DE-7487-464C-8AFC-19968680C1A6 8DFF92DE-7487-464C-8AFC-19968680C1A6 2035 25020B S25.027 INTERACID TRADING (CHILE) S.A. USD 9/5/2025 NET 30 NCSW 0 0 1000 1000 Fangcheng Mejillones CFR manual 2035 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 1000 Mt 166.5 1000 Mt of sulphuric acid - Tel-quel 12/24/2025 1/5/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
14 98E12607-43B1-4CDE-B90D-1CE85520DC5B 98E12607-43B1-4CDE-B90D-1CE85520DC5B 2010 25019A SUMITOMO AUSTRALIA USD 7/23/2025 NET NCSW 10 10 6750 8250 Taichung Gladstone CFR manual 2010 / H2SO4 FY 2025 / Default line H2SO4 7500 Mt 188 7500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 0 350 0 1
15 62DF7DF0-B346-4D51-B68B-1F60D3D156FF 62DF7DF0-B346-4D51-B68B-1F60D3D156FF 1860 24991 S25.003 INTERACID TRADING (CHILE) S.A. USD 11/18/2024 NET 30 NCSW 10 10 13500 16500 Callao Mejillones CFR manual 1860 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 15000 Mt 154 15000 Mt of sulphuric acid - Tel-quel 7/1/2025 7/10/2025 bldate 7/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 0 1
16 7AE95778-8A2E-4C29-9A7F-20D97E96135D 7AE95778-8A2E-4C29-9A7F-20D97E96135D 1864 24986B S25.005 INTERACID TRADING (CHILE) S.A. USD 12/2/2024 NET 30 NCSW 0 0 7002.904 7002.904 Fangcheng Mejillones CFR manual 1864 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 7002.9 Mt 151.5 7002.9 Mt of sulphuric acid - Tel-quel 7/5/2025 7/20/2025 bldate 7/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
17 B235588D-27C5-4BA0-BEBE-2118CE9E4066 B235588D-27C5-4BA0-BEBE-2118CE9E4066 2055 25012 S25.028 INTERACID TRADING (CHILE) S.A. USD 10/27/2025 NET NCSW 0 0 6000 6000 Antwerpen Mejillones CFR manual 2055 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Switzerland Switzerland 6000 Mt 166.5 6000 Mt of sulphuric acid - Tel-quel 11/1/2025 11/30/2025 bldate 11/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 0
18 6E2B3633-FD54-48E1-AB85-21CA60985DB5 6E2B3633-FD54-48E1-AB85-21CA60985DB5 2022 25011E S25.028 INTERACID TRADING (CHILE) S.A. USD 8/13/2025 NET 30 NCSW 0 0 3761.818 3761.818 Pori Mejillones CFR manual 2022 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 3761.82 Mt 166.5 3761.82 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
19 8A8829E9-FDFC-4313-A2ED-2247AE21DF9E 8A8829E9-FDFC-4313-A2ED-2247AE21DF9E 1882 24970 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 1882 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 112.07 20000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
20 E3939A75-BA84-4372-95F6-229A1B93E0FD E3939A75-BA84-4372-95F6-229A1B93E0FD 2036 24997B S25.013 INTERACID NORTH AMERICA, INC (Beaumont) USD 9/8/2025 NET 30 NCSW 0 0 16991.693 16991.693 Pori Beaumont CFR manual 2036 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 16991.69 Mt 134.16 16991.7 Mt of sulphuric acid - Tel-quel 8/22/2025 9/4/2025 bldate 9/4/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 1 1
21 95054417-F7E7-4B2E-8C30-2326D09A2A7F 95054417-F7E7-4B2E-8C30-2326D09A2A7F 1969 24988 S25.020 TRICON ENERGY, LTD USD 4/16/2025 NET 30 NCSW 5 5 18050 19950 Pori Pori FOB manual 1969 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19000 Mt 100.5 19000 Mt of sulphuric acid - Tel-quel 6/25/2025 7/1/2025 bldate 6/25/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 450 0 1
22 D1D5873F-AEE8-4FC3-8E3E-246C0690E421 D1D5873F-AEE8-4FC3-8E3E-246C0690E421 2041 25010 S25.032 INTERACID NORTH AMERICA, INC (Tampa) USD 9/26/2025 NET 30 NCSW 5 5 18050 19950 Bandirma Tampa CFR manual 2041 / H2SO4 FY 2025 / Default line H2SO4-Turkey Turkey 19000 Mt 105 19000 Mt of sulphuric acid - Tel-quel 10/15/2025 10/25/2025 bldate 10/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
23 750C37B2-488A-4649-A246-2B1F75D1E973 750C37B2-488A-4649-A246-2B1F75D1E973 1900 24980A S25.011 INTERACID TRADING (CHILE) S.A. USD 12/5/2024 NET 30 NCSW 5 5 19000 21000 YIZHENG Mejillones CFR manual 1900 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 20000 Mt 179 20000 Mt of sulphuric acid - Tel-quel 5/30/2025 6/15/2025 bldate 6/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
24 1E35F517-989C-41A2-9A31-2B22AD6CC378 1E35F517-989C-41A2-9A31-2B22AD6CC378 2011 25022A COROMANDEL INTERNATIONAL LTD USD 7/23/2025 NET NCSW 0 0 6000 6000 YIZHENG Visakhapatnam CFR manual 2011 / H2SO4 FY 2025 / Default line H2SO4-China China 6000 Mt 150 6000 Mt of sulphuric acid - Tel-quel 11/20/2025 1/5/2026 bldate 11/29/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 1 1
25 8C859564-DBBD-4B8B-8D05-2B545E56759F 8C859564-DBBD-4B8B-8D05-2B545E56759F 2108 LXML FEB 2026 S25.010 SUMITOMO CORPORATION THAILAND LTD. USD 12/5/2025 NET NCSW 0 0 5000 5000 Naoshima Samut Prakan CFR manual 2108 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 0 5000 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 0
26 F98601FE-6702-45D5-8162-2EC487DFB70F F98601FE-6702-45D5-8162-2EC487DFB70F 1899 24971A S25.011 INTERACID TRADING (CHILE) S.A. USD 12/5/2024 NET 30 NCSW 5 5 19000 21000 Fangcheng Mejillones CFR manual 1899 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 20000 Mt 168.5367 20000 Mt of sulphuric acid - Tel-quel 4/13/2025 5/2/2025 bldate 4/13/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
27 0CD8121A-C444-4A99-B628-325C172F8BCE 0CD8121A-C444-4A99-B628-325C172F8BCE 1886 24985 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 1886 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 113.6 20000 Mt of sulphuric acid - Tel-quel 6/15/2025 6/30/2025 bldate 6/17/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
28 1D38048B-3374-47B2-BF0D-33107388AB66 1D38048B-3374-47B2-BF0D-33107388AB66 1974 24983 SAS International LLC USD 4/22/2025 NET 20 NCSW 3.3 3.3 11000 11750 YIZHENG Jorf Lasfar FOB manual 1974 / H2SO4 FY 2025 / Default line H2SO4-China China 11375 Mt 74 11375 Mt of sulphuric acid - Tel-quel 5/15/2025 5/24/2025 bldate 5/15/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 0 300 1 1
29 B68DEB06-187A-4254-A4DF-334F1BCB36AC B68DEB06-187A-4254-A4DF-334F1BCB36AC 2054 25018 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 10/16/2025 NET 30 NCSW 10 10 17100 20900 Naoshima Stockton CFR manual 2054 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 19000 Mt 141.11 19000 Mt of sulphuric acid - Tel-quel 12/15/2025 12/24/2025 bldate 12/20/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
30 80856C25-A3C3-48A7-A4F3-3539EF7361C1 80856C25-A3C3-48A7-A4F3-3539EF7361C1 2075 25020C S26.003 INTERACID TRADING (CHILE) S.A. USD 11/17/2025 NET 30 NCSW 0 0 6000 6000 Fangcheng Mejillones CFR manual 2075 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 6000 Mt 173 6000 Mt of sulphuric acid - Tel-quel 12/25/2025 1/5/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
31 EE5C012C-90A6-482A-8A2F-354016B9F912 EE5C012C-90A6-482A-8A2F-354016B9F912 2163 25026B S26.010 INTERACID TRADING (CHILE) S.A. USD 1/19/2026 NET NCSW 0 0 2761.818 2761.818 Callao Mejillones CFR manual 2163 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 2761.82 Mt 172 2761.82 Mt of sulphuric acid - Tel-quel 1/29/2026 2/9/2026 bldate 1/29/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
32 2C2E3879-D5F1-4039-A2D1-35C1F243DCDC 2C2E3879-D5F1-4039-A2D1-35C1F243DCDC 2026 25011C S25.003 INTERACID TRADING (CHILE) S.A. USD 8/25/2025 NET 30 NCSW 0 0 989.659 989.659 Callao Mejillones CFR manual 2026 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 989.66 Mt 154 989.659 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
33 DB8FA818-430A-4783-91A7-41B4A9D82C7B DB8FA818-430A-4783-91A7-41B4A9D82C7B 1982 25001C S25.023 INTERACID TRADING (CHILE) S.A. USD 6/2/2025 NET NCSW 0 0 5000 5000 Rugao Mejillones CFR manual 1982 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 5000 Mt 161.5 5000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
34 956A2622-D5C4-4EB0-9780-4227829661DD 956A2622-D5C4-4EB0-9780-4227829661DD 1952 24977 S25.006 INTERACID TRADING (CHILE) S.A. USD 3/3/2025 NET 30 NCSW 1.69 1.69 14500 15000 Callao Mejillones CIF manual 1952 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14750 Mt 153.75 14750 Mt of sulphuric acid - Tel-quel 4/18/2025 4/28/2025 bldate 4/18/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
35 92423C06-CBEB-4032-B848-4634C7640B46 92423C06-CBEB-4032-B848-4634C7640B46 2037 25011D S25.031 INTERACID TRADING (CHILE) S.A. USD 9/23/2025 NET 30 NCSW 0 0 5000 5000 Pori Mejillones CFR manual 2037 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 5000 Mt 150 5000 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
36 5B7A5B00-78A5-48E4-BB20-467AC75FA58C 5B7A5B00-78A5-48E4-BB20-467AC75FA58C 2152 25020E S26.012 INTERACID TRADING (CHILE) S.A. USD 1/5/2026 NET 30 NCSW 33.39 33.39 2996.46 6000 Fangcheng Mejillones CFR manual 2152 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 4498.23 Mt 172 4498.23 Mt of sulphuric acid - Tel-quel 12/25/2025 1/5/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
37 3746BE78-C40E-44C9-9435-4997BED9B2E5 3746BE78-C40E-44C9-9435-4997BED9B2E5 1923 24974A S25.012 INTERACID TRADING (CHILE) S.A. USD 12/19/2024 NET 30 NCSW 0 0 12000 12000 Ilo Mejillones CFR manual 1923 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Mexico Mexico 12000 Mt 145 12000 Mt of sulphuric acid - Tel-quel 5/5/2025 5/11/2025 bldate 5/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
38 B0D34AB6-6D63-48A7-9A44-4D70E76DC9DF B0D34AB6-6D63-48A7-9A44-4D70E76DC9DF 2169 NFC - PROMMITR Feb/mar S25.022 NFC PUBLIC COMPANY LTD - PROMMITR USD 2/11/2026 NET NCSW 0 0 2100 2100 Naoshima Map Ta Phut CFR manual 2169 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2100 Mt 0 2100 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 0
39 0BDB0387-1BD5-4089-997E-4E65C3159FC9 0BDB0387-1BD5-4089-997E-4E65C3159FC9 2089 25015 S26.007 INTERACID NORTH AMERICA, INC (Tampa) USD 11/21/2025 NET 30 NCSW 5 5 18050 19950 Ronnskar Beaumont CFR manual 2089 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19000 Mt 133 19000 Mt of sulphuric acid - Tel-quel 11/25/2025 12/4/2025 bldate 11/25/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
40 F1443208-2B7D-4608-97F5-54E286DED73B F1443208-2B7D-4608-97F5-54E286DED73B 2164 25027 S26.010 INTERACID TRADING (CHILE) S.A. USD 1/19/2026 NET 30 NCSW 0 0 13500 13500 Laizhou Mejillones CFR manual 2164 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 13500 Mt 172 13500 Mt of sulphuric acid - Tel-quel 2/15/2026 2/26/2026 bldate 2/15/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 0
41 8504C8B4-FA3D-472F-A480-598E8603025B 8504C8B4-FA3D-472F-A480-598E8603025B 2023 25006 S25.016 Agrifields DMCC, Dubai USD 8/14/2025 NET NCSW 5 5 9500 10500 Rugao Isabel CIF manual 2023 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 110 10000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 200 0 1
42 F7599096-F3E6-4C9B-8BBF-5AE632CD5BC7 F7599096-F3E6-4C9B-8BBF-5AE632CD5BC7 2119 25020D S26.003 INTERACID TRADING (CHILE) S.A. USD 12/9/2025 NET 30 NCSW 0 0 3000 3000 Fangcheng Mejillones CFR manual 2119 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 3000 Mt 173 3000 Mt of sulphuric acid - Tel-quel 12/25/2025 1/6/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
43 64BC5C49-3E1C-4539-883D-61B88878FD68 64BC5C49-3E1C-4539-883D-61B88878FD68 2074 25026 S26.004 INTERACID TRADING (CHILE) S.A. USD 11/12/2025 NET 30 NCSW 0 0 14000 14000 Mejillones CFR manual 2074 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 14000 Mt 168.75 14000 Mt of sulphuric acid - Tel-quel 1/29/2026 2/9/2026 bldate 1/29/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
44 24B02E69-1AEA-43D8-B61B-61D530C93990 24B02E69-1AEA-43D8-B61B-61D530C93990 1669 24986A S25.009 INTERACID TRADING (CHILE) S.A. USD 2/29/2024 NET 30 NCSW 0 0 20997.096 20997.096 Fangcheng Mejillones CFR manual 1669 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 20997.1 Mt 151 20997.1 Mt of sulphuric acid - Tel-quel 7/5/2025 7/20/2025 bldate 7/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
45 DA1CF8A6-AF4B-4CA8-AD7F-626E8CA9BAB2 DA1CF8A6-AF4B-4CA8-AD7F-626E8CA9BAB2 1961 24973B S25.009 - 120kt INTERACID TRADING (CHILE) S.A. USD 4/2/2025 NET 30 NCSW 0 0 20 20 Callao Mejillones CFR manual 1961 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 20 Mt 151 20 Mt of sulphuric acid - Tel-quel 3/20/2025 4/4/2025 bldate 4/3/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
46 A146D2F0-B3BD-46D1-860F-6372963A9E34 A146D2F0-B3BD-46D1-860F-6372963A9E34 1996 25024A S25.022 NFC PUBLIC COMPANY LTD - PROMMITR USD 7/2/2025 NET 30 NCSW 0 0 5000 5000 Naoshima Map Ta Phut CFR manual 1996 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 132.91 5000 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
47 C5B9F1F5-9A11-429B-8D6F-63BA7EFB01C1 C5B9F1F5-9A11-429B-8D6F-63BA7EFB01C1 1874 25011A S25.009 INTERACID TRADING (CHILE) S.A. USD 12/5/2024 NET 30 NCSW 0 0 8090.858 8090.858 Pori Mejillones CFR manual 1874 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 8090.86 Mt 151 8090.86 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
48 95E2978F-EE5F-4DA8-A68C-63CE130FDB3C 95E2978F-EE5F-4DA8-A68C-63CE130FDB3C 2021 25016 S25.027 INTERACID TRADING (CHILE) S.A. USD 8/12/2025 NET 30 NCSW 3.33 3.33 14500 15500 Callao Mejillones CFR manual 2021 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Peru Peru 15000 Mt 166.5 15000 Mt of sulphuric acid - Tel-quel 12/3/2025 12/13/2025 bldate 12/3/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 1
49 58F2BAC4-54FE-4FB7-A986-67490F1F2362 58F2BAC4-54FE-4FB7-A986-67490F1F2362 2004 25020A S26.005 INTERACID TRADING (CHILE) S.A. USD 11/17/2025 NET 30 NCSW 5.26 5.26 18000 20000 Fangcheng Mejillones CFR manual 2004 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 19000 Mt 178 19000 Mt of sulphuric acid - Tel-quel 12/24/2025 1/5/2026 bldate 1/5/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
50 2F8EBC2B-DA6C-4317-9709-6A6E8DA0E7D7 2F8EBC2B-DA6C-4317-9709-6A6E8DA0E7D7 2020 25001D S25.009 INTERACID TRADING (CHILE) S.A. USD 8/11/2025 NET NCSW 18.64 18.64 2400 3500 Rugao Mejillones CFR manual 2020 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 2950 Mt 151 2950 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
51 6720D794-1509-42A2-8C30-6BFC83E30CC8 6720D794-1509-42A2-8C30-6BFC83E30CC8 1994 25013A S25.022 NFC PUBLIC COMPANY LTD - PROMMITR USD 7/2/2025 NET NCSW 0 0 5000 5000 Naoshima Map Ta Phut CFR manual 1994 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 89.62 5000 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
52 F858EE88-3AF3-45AB-99F4-6CE3A3B5C388 F858EE88-3AF3-45AB-99F4-6CE3A3B5C388 2165 25028C S26.006 INTERACID TRADING (CHILE) S.A. USD 1/19/2026 NET 30 NCSW 0 0 6770.364 6770.364 Mejillones CFR manual 2165 / H2SO4 FY 2025 / Chile FY25 line H2SO4 6770.36 Mt 172.5 6770.36 Mt of sulphuric acid - Tel-quel 2/19/2026 2/28/2026 bldate 2/19/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 0
53 4915E268-8C1A-4D13-A41C-6D7727F888DF 4915E268-8C1A-4D13-A41C-6D7727F888DF 2092 25028B S26.008 - 5'100MT INTERACID TRADING (CHILE) S.A. USD 12/1/2025 NET 30 NCSW 0 0 5100 5100 Mejillones CFR manual 2092 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 5100 Mt 174.75 5100 Mt of sulphuric acid - Tel-quel 2/20/2026 2/28/2026 bldate 2/20/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 0
54 8133993D-4139-489E-BCC7-724984D2E9A8 8133993D-4139-489E-BCC7-724984D2E9A8 1960 24978 S25.018 INTERACID NORTH AMERICA, INC (Beaumont) USD 3/28/2025 NET 30 NCSW 10 10 17100 20900 Bandirma Beaumont CFR manual 1960 / H2SO4 FY 2025 / Default line H2SO4-Turkey Turkey 19000 Mt 141.9 19000 Mt of sulphuric acid - Tel-quel 4/28/2025 5/8/2025 bldate 5/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
55 E254C586-E637-4ED8-B518-74555103DBB1 E254C586-E637-4ED8-B518-74555103DBB1 1948 24972B S24.025 SUMITOMO CORPORATION THAILAND LTD. USD 2/26/2025 NET NCSW 0 0 2700 2700 Onahama Samut Prakan CFR manual 1948 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2700 Mt 82.85 2700 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
56 4A840D36-9667-4627-87BB-774990BEA3EA 4A840D36-9667-4627-87BB-774990BEA3EA 1950 24971B S25.005 INTERACID TRADING (CHILE) S.A. USD 3/3/2025 NET 30 NCSW 13.04 13.04 10000 13000 Fangcheng Mejillones CFR manual 1950 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 11500 Mt 151.5 11500 Mt of sulphuric acid - Tel-quel 4/13/2025 5/2/2025 bldate 4/13/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
57 D3624F6F-03B4-4C34-A059-790D82BEDF14 D3624F6F-03B4-4C34-A059-790D82BEDF14 1951 24974B S25.006 INTERACID TRADING (CHILE) S.A. USD 3/3/2025 NET NCSW 0 0 2479.256 2479.256 Ilo Mejillones CFR manual 1951 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Mexico Mexico 2479.26 Mt 153.75 2479.26 Mt of sulphuric acid - Tel-quel 5/5/2025 5/11/2025 bldate 5/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
58 A644740E-F2FA-4057-862A-7A109E2C24B7 A644740E-F2FA-4057-862A-7A109E2C24B7 1858 24992 S25.002 - 3/4 WILSON INTERNATIONAL TRADING PRIVATE LTD USD 11/18/2024 NET 30 NCSW 10 10 18000 22000 Rugao Tuticorin CFR manual 1858 / H2SO4 FY 2025 / Default line H2SO4-China China 20000 Mt 89.5 20000 Mt of sulphuric acid - Tel-quel 7/18/2025 7/30/2025 bldate 7/18/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 250 0 1
59 C3FA8621-31AA-4F00-A27F-7A1E856AC0E4 C3FA8621-31AA-4F00-A27F-7A1E856AC0E4 1762 24972A S24.025 NFC PUBLIC COMPANY LTD - PROMMITR USD 5/15/2024 NET NCSW 0 0 5000 5000 Map Ta Phut CFR manual 1762 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 86.3 5000 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
60 1BE70D36-8272-405A-9820-7AF8F7B70D95 1BE70D36-8272-405A-9820-7AF8F7B70D95 2132 NFC - PROMMITR Feb S25.022 NFC PUBLIC COMPANY LTD - PROMMITR USD 12/29/2025 NET 30 NCSW 0 0 2400 2400 Map Ta Phut CFR manual 2132 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2400 Mt 0 2400 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 0
61 B3A78D90-FADD-4004-A50C-7CCA6FB8A785 B3A78D90-FADD-4004-A50C-7CCA6FB8A785 2046 25007C S25.022 SUMITOMO CORPORATION THAILAND LTD. USD 9/26/2025 NET 30 NCSW 0 0 1000 1000 Naoshima Samut Prakan CFR manual 2046 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 1000 Mt 91.93 1000 Mt of sulphuric acid - Tel-quel 9/30/2025 10/5/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
62 5A0514CB-E74F-4149-A4CE-82367A3F75C8 5A0514CB-E74F-4149-A4CE-82367A3F75C8 2025 25011B S25.007 - 5'400MT INTERACID TRADING (CHILE) S.A. USD 8/18/2025 NET NCSW 0 0 395.746 395.746 Pori Mejillones CFR manual 2025 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 395.75 Mt 155.25 395.746 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
63 22557B77-FE65-455C-B6D0-8764AD98F44F 22557B77-FE65-455C-B6D0-8764AD98F44F 1892 24999 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Hibi Stockton CFR manual 1892 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 111.25 20000 Mt of sulphuric acid - Tel-quel 9/7/2025 9/22/2025 bldate 9/7/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
64 5D7BCD40-5B9B-4916-BCFC-879853C515A2 5D7BCD40-5B9B-4916-BCFC-879853C515A2 2048 25014 S25.034 INTERACID NORTH AMERICA, INC (Tampa) USD 9/26/2025 NET 30 NCSW 5 5 18050 19950 Huelva Tampa CFR manual 2048 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 108.9 19000 Mt of sulphuric acid - Tel-quel 11/14/2025 11/20/2025 bldate 11/14/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 0 1
65 476625FC-678E-4C66-A624-8E19B7CD62B1 476625FC-678E-4C66-A624-8E19B7CD62B1 2002 24995 S25.023 INTERACID TRADING (CHILE) S.A. USD 7/21/2025 NET 30 NCSW 0 0 5500 5500 YIZHENG Mejillones CFR manual 2002 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 5500 Mt 161.5 5500 Mt of sulphuric acid - Tel-quel 8/19/2025 8/26/2025 bldate 8/19/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
66 B71AD060-A147-4C3E-8862-99F6074CA991 B71AD060-A147-4C3E-8862-99F6074CA991 2056 25026C S25.028 INTERACID TRADING (CHILE) S.A. USD 10/27/2025 NET 20 NCSW 0 0 238.182 238.182 Pori Mejillones CFR manual 2056 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 238.18 Mt 166.5 238.182 Mt of sulphuric acid - Tel-quel 1/1/2026 1/31/2026 bldate 1/1/2026 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
67 F667050F-DCF4-469D-A929-9A29664F47E8 F667050F-DCF4-469D-A929-9A29664F47E8 1927 24997A S25.013 INTERACID NORTH AMERICA, INC (Beaumont) USD 12/20/2024 NET NCSW 0 0 7000 7000 Pori Tampa CFR manual 1927 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 7000 Mt 134.16 7000 Mt of sulphuric acid - Tel-quel 8/22/2025 9/4/2025 bldate 9/4/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 300 1 1
68 D810DBBB-905E-4CEB-B51A-9FF1B74E9E8B D810DBBB-905E-4CEB-B51A-9FF1B74E9E8B 2106 25024C S25.010 SUMITOMO CORPORATION THAILAND LTD. USD 12/4/2025 NET 30 NCSW 0 0 3600 3600.2 Naoshima Samut Prakan CFR manual 2106 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 3600.1 Mt 82.4 3600.1 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
69 CA5FAFBE-D721-4475-BE14-A8CAE2F722FF CA5FAFBE-D721-4475-BE14-A8CAE2F722FF 1992 25007A S25.022 NFC PUBLIC COMPANY LTD - PROMMITR USD 7/2/2025 NET 30 NCSW 0 0 5000 5000 Naoshima Map Ta Phut CFR manual 1992 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 92.29 5000 Mt of sulphuric acid - Tel-quel 9/30/2025 10/5/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
70 561448D8-F135-4120-AE13-A92FEC264793 561448D8-F135-4120-AE13-A92FEC264793 1985 24994 S25.025 WILSON INTERNATIONAL TRADING PRIVATE LTD USD 6/10/2025 NET NCSW 16.28 16.28 18000 25000 YIZHENG Tuticorin CFR manual 1985 / H2SO4 FY 2025 / Default line H2SO4-China China 21500 Mt 127.5 21500 Mt of sulphuric acid - Tel-quel 8/16/2025 8/28/2025 bldate 8/16/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 250 1 1
71 2CDC3D15-AA94-4E61-A0E3-B099028D3820 2CDC3D15-AA94-4E61-A0E3-B099028D3820 1890 24989 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Hibi Stockton CFR manual 1890 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 111 20000 Mt of sulphuric acid - Tel-quel 7/12/2025 7/25/2025 bldate 7/12/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
72 B2E3C472-214E-44AA-90C8-B3F724BCECCC B2E3C472-214E-44AA-90C8-B3F724BCECCC 1901 25001A S25.011 INTERACID TRADING (CHILE) S.A. USD 12/5/2024 NET NCSW 5 5 19000 21000 Rugao Mejillones CFR manual 1901 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 20000 Mt 144.5 20000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 0 1
73 A1F4F994-9973-4C9B-8388-B73C867BBA4E A1F4F994-9973-4C9B-8388-B73C867BBA4E 1859 25002A S25.002 - 4/4 WILSON INTERNATIONAL TRADING PRIVATE LTD USD 11/18/2024 NET NCSW 10 10 18000 22000 Fangcheng Tuticorin CFR manual 1859 / H2SO4 FY 2025 / Default line H2SO4-China China 20000 Mt 89.5 20000 Mt of sulphuric acid - Tel-quel 10/10/2025 10/30/2025 bldate 10/26/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 250 0 1
74 535991DB-A1C1-468A-A0FD-BBDC2A472D10 535991DB-A1C1-468A-A0FD-BBDC2A472D10 1930 25005 S25.013 INTERACID NORTH AMERICA, INC (Beaumont) USD 12/20/2024 NET 30 NCSW 3.9 3.9 18500 20000 Ronnskar Beaumont CFR manual 1930 / H2SO4 FY 2025 / Default line H2SO4-Finland Finland 19250 Mt 115.31 19250 Mt of sulphuric acid - Tel-quel 10/11/2025 10/20/2025 bldate 10/11/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 1 1
75 31E490C4-9FDC-49FA-8FC6-BE2492F40E8F 31E490C4-9FDC-49FA-8FC6-BE2492F40E8F 1955 24975 S25.016 Agrifields DMCC, Dubai USD 3/19/2025 NET NCSW 10 10 9000 11000 Rugao Isabel CIF manual 1955 / H2SO4 FY 2025 / Default line H2SO4-China China 10000 Mt 98.5 10000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/7/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 200 0 1
76 596AB953-7CF3-4D54-A1BB-C166D124DA0D 596AB953-7CF3-4D54-A1BB-C166D124DA0D 2098 25024B S25.022 SUMITOMO CORPORATION THAILAND LTD. USD 12/3/2025 NET 30 NCSW 0 0 1899.669 1899.669 Naoshima Samut Prakan CFR manual 2098 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 1899.67 Mt 97.63 1899.67 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
77 D8EC09D9-A4D6-454B-A28F-C2D4EE6DA43B D8EC09D9-A4D6-454B-A28F-C2D4EE6DA43B 2045 25007B S25.022 SUMITOMO CORPORATION THAILAND LTD. USD 9/26/2025 NET 30 NCSW 20 20 1600 2400 Naoshima Samut Prakan CFR manual 2045 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2000 Mt 91.56 2000 Mt of sulphuric acid - Tel-quel 9/30/2025 10/5/2025 bldate 10/1/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
78 2EE91F22-B849-45EA-B730-C46E5ADF0A42 2EE91F22-B849-45EA-B730-C46E5ADF0A42 1968 24980B S25.019 INTERACID TRADING (CHILE) S.A. USD 4/6/2025 NET NCSW 0 0 4000 4000 YIZHENG Mejillones CFR manual 1968 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 4000 Mt 166.5 4000 Mt of sulphuric acid - Tel-quel 5/30/2025 6/15/2025 bldate 6/2/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
79 AD02F6AD-7BC9-4C74-A0DB-C522F8849811 AD02F6AD-7BC9-4C74-A0DB-C522F8849811 1940 24986C S25.015 INTERACID TRADING (CHILE) S.A. USD 1/23/2025 NET NCSW 0 0 5000 5000 Fangcheng Mejillones CFR manual 1940 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 5000 Mt 151 5000 Mt of sulphuric acid - Tel-quel 7/5/2025 7/20/2025 bldate 7/5/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
80 2866889F-60E9-4F99-A683-C61DFC477384 2866889F-60E9-4F99-A683-C61DFC477384 2123 25021 S26.014 INTERACID NORTH AMERICA, INC (Stockton) USD 12/10/2025 NET NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 2123 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 137.22 20000 Mt of sulphuric acid - Tel-quel 1/7/2026 1/21/2026 bldate 1/7/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
81 55170A07-EF66-444B-BA8B-C8DBEC2B798C 55170A07-EF66-444B-BA8B-C8DBEC2B798C 1888 24996 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Hibi Stockton CFR manual 1888 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 110.65 20000 Mt of sulphuric acid - Tel-quel 8/15/2025 8/29/2025 bldate 8/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
82 514D2631-3EE9-4823-AFF9-D35FD04FA837 514D2631-3EE9-4823-AFF9-D35FD04FA837 1973 24982/A NFC PUBLIC COMPANY LTD - PROMMITR USD 4/17/2025 NET NCSW 0 0 5000 5000 Onahama Map Ta Phut CFR manual 1973 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 5000 Mt 81.55 5000 Mt of sulphuric acid - Tel-quel 5/8/2025 5/16/2025 bldate 5/9/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 0
83 38807FED-CFCB-46A4-92CB-D486FF03A0E9 38807FED-CFCB-46A4-92CB-D486FF03A0E9 2127 25029 S26.014 INTERACID NORTH AMERICA, INC (Stockton) USD 12/18/2025 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 2127 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 138.5 20000 Mt of sulphuric acid - Tel-quel 2/26/2026 3/12/2026 bldate 2/26/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 0
84 AA26D240-DE88-4CFB-8F10-D87906F8F06D AA26D240-DE88-4CFB-8F10-D87906F8F06D 1884 24979 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 1884 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 115 20000 Mt of sulphuric acid - Tel-quel 5/18/2025 5/31/2025 bldate 5/18/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
85 2AD80800-2F9D-4385-A450-DAFAC03161DC 2AD80800-2F9D-4385-A450-DAFAC03161DC 2078 25028A S26.005 INTERACID TRADING (CHILE) S.A. USD 11/17/2025 NET 30 NCSW 0 0 20000 20000 Longkou Mejillones CFR manual 2078 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 20000 Mt 185 20000 Mt of sulphuric acid - 100% 2/18/2026 2/28/2026 bldate 2/18/2026 Jeremie Collot 100 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 1 0
86 B8E115F4-A2F0-4A69-9321-DBF8BEC5D4D8 B8E115F4-A2F0-4A69-9321-DBF8BEC5D4D8 2042 25009 S25.033 PT PUPUK ISKANDAR MUDA (PIM) USD 9/26/2025 NET NCSW 10 10 7200 8800 Onahama LHOKSEUMAWE CFR manual 2042 / H2SO4 FY 2025 / Default line H2SO4-China China 8000 Mt 99 8000 Mt of sulphuric acid - Tel-quel 11/5/2025 11/15/2025 bldate 11/5/2025 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 6 150 0 1
87 49A55704-7DD9-4E46-8CAF-DC5CDF378831 49A55704-7DD9-4E46-8CAF-DC5CDF378831 2049 25023 S26.001 INTERACID NORTH AMERICA, INC (Tampa) USD 10/3/2025 NET 30 NCSW 5 5 18050 19950 Huelva Beaumont CFR manual 2049 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 119.5 19000 Mt of sulphuric acid - Tel-quel 1/12/2026 1/20/2026 bldate 1/12/2026 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
88 06ABB5D2-FBE7-40C8-9AB1-DE08949B4AFB 06ABB5D2-FBE7-40C8-9AB1-DE08949B4AFB 1861 25000 S25.003 INTERACID TRADING (CHILE) S.A. USD 11/18/2024 NET NCSW 10 10 13500 16500 Callao Mejillones CFR manual 1861 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 15000 Mt 154 15000 Mt of sulphuric acid - Tel-quel 8/20/2025 8/30/2025 bldate 8/20/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 400 0 1
89 E657EC0E-1B75-4358-BE49-DE5E92D1C2EE E657EC0E-1B75-4358-BE49-DE5E92D1C2EE 1850 24976 S25.001 INTERACID NORTH AMERICA, INC (Tampa) USD 11/1/2024 NET 30 NCSW 5 5 18050 19950 Huelva Tampa CFR manual 1850 / H2SO4 FY 2025 / Default line H2SO4-Spain Spain 19000 Mt 130.25 19000 Mt of sulphuric acid - Tel-quel 4/15/2025 4/21/2025 bldate 4/15/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 6 350 0 1
90 1F3BE955-ECEF-4EA9-A017-DF317957E602 1F3BE955-ECEF-4EA9-A017-DF317957E602 1971 24982/B SUMITOMO CORPORATION THAILAND LTD. USD 4/17/2025 NET 30 NCSW 0 0 2350 2350 Onahama Samut Prakan CFR manual 1971 / H2SO4 FY 2025 / Thailand FY25 line H2SO4-Japan Japan 2350 Mt 86.13 2350 Mt of sulphuric acid - Tel-quel 5/8/2025 5/16/2025 bldate 5/9/2025 Stephane Monnard 0 H2SO4 FY 2025 Thailand FY25 Laycan 0 6 250 1 1
91 A733030D-A266-4551-BF33-E6364A4EDA36 A733030D-A266-4551-BF33-E6364A4EDA36 2156 25019B SUMITOMO AUSTRALIA USD 1/6/2026 NET 30 NCSW 10 10 2250 2750 Taichung Gladstone CFR manual 2156 / H2SO4 FY 2025 / Default line H2SO4 2500 Mt 179 2500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 0 350 0 0
92 1E8C4039-E74B-4728-B2F6-E8A42FFACEC5 1E8C4039-E74B-4728-B2F6-E8A42FFACEC5 1924 24981 S25.005 INTERACID TRADING (CHILE) S.A. USD 12/19/2024 NET 30 NCSW 22.33 22.33 10000 15750 Rugao Mejillones CFR manual 1924 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 12875 Mt 151.5 12875 Mt of sulphuric acid - Tel-quel 4/28/2025 5/7/2025 bldate 5/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
93 68013CF3-A4A1-4BE7-96FA-EFF922BDBF62 68013CF3-A4A1-4BE7-96FA-EFF922BDBF62 1958 24990A S25.017 INTERACID TRADING (CHILE) S.A. USD 3/21/2025 NET NCSW 0 0 15000 15000 Fangcheng Mejillones CFR manual 1958 / H2SO4 FY 2025 / Chile FY25 line H2SO4-China China 15000 Mt 159 15000 Mt of sulphuric acid - Tel-quel 9/1/2025 9/30/2025 bldate 9/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
94 10994DA8-B0C7-4847-874D-F2E049D618CA 10994DA8-B0C7-4847-874D-F2E049D618CA 2091 25017 S26.009 TRICON ENERGY, LTD USD 12/1/2025 NET 30 NCSW 5.26 5.26 9000 10000 Pori Mejillones CFR manual 2091 / H2SO4 FY 2025 / Chile FY25 line H2SO4-Finland Finland 9500 Mt 172.5 9500 Mt of sulphuric acid - Tel-quel 12/1/2025 12/31/2025 bldate 12/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Chile FY25 Laycan 0 6 350 1 1
95 2BF69450-9BF0-4EEB-A235-F518F4B300DB 2BF69450-9BF0-4EEB-A235-F518F4B300DB 1894 25003 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 1894 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 146.23 20000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
96 5C4CA64F-F7A1-4599-8B69-F699B4605669 5C4CA64F-F7A1-4599-8B69-F699B4605669 2125 25025 S26.014 INTERACID NORTH AMERICA, INC (Stockton) USD 12/18/2025 NET 30 NCSW 10 10 18000 22000 Saganoseki Stockton CFR manual 2125 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 138.5 20000 Mt of sulphuric acid - Tel-quel 1/30/2026 2/13/2026 bldate 2/3/2026 Stephane Monnard 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1
97 03D21F99-0AA1-4690-8C51-FC6F6FA25BE3 03D21F99-0AA1-4690-8C51-FC6F6FA25BE3 1897 25008 S25.008 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET NCSW 10 10 18000 22000 Hibi Stockton CFR manual 1897 / H2SO4 FY 2025 / Default line H2SO4-Japan Japan 20000 Mt 140.32 20000 Mt of sulphuric acid - Tel-quel 11/1/2025 11/30/2025 bldate 11/1/2025 Jeremie Collot 0 H2SO4 FY 2025 Default Laycan 0 12 350 0 1

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Reference Data/python_project/loaders/Services.csv Normal file
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code,name,category,uom,sale_price,cost_price,description
SWAP,SWAP,SERVICES,Mt,0,0,
Time Charter Hire,Time Charter Hire,SERVICES,Mt,0,0,
Paper allocation,Paper allocation,SERVICES,Mt,0,0,
FX Difference,FX Difference,SERVICES,Mt,0,0,
Freight Commission,Freight Commission,SERVICES,Mt,0,0,
CFD,CFD,SERVICES,Mt,0,0,
Deal Expense,Invoice Validation Deal Expense,SERVICES,Mt,0,0,
Spot Owner Demurrage,Spot Owner Demurrage,SERVICES,Mt,0,0,
Product Commission,Commission,SERVICES,Mt,0,0,
Claim Amount,Claim Amount,SERVICES,Mt,0,0,
Import Tax,Import Tax,SERVICES,Mt,0,0,
Freight,Freight,SERVICES,Mt,0,0,
Other,Other,SERVICES,Mt,0,0,
Port Costs,Port Costs,SERVICES,Mt,0,0,
Demurrage,Demurrage,SERVICES,Mt,0,0,
Finance,Finance,SERVICES,Mt,0,0,
Hedging,Hedging,SERVICES,Mt,0,0,
Agency Fees,Agency Fees,SERVICES,Mt,0,0,
Bunker Costs,Bunker Costs,SERVICES,Mt,0,0,
EU ETS,EU ETS,SERVICES,Mt,0,0,
Inspection,Inspection,SERVICES,Mt,0,0,
Banking Charges,Banking Charges,SERVICES,Mt,0,0,
Insurance,Insurance,SERVICES,Mt,0,0,
Broker Fees,Broker Fees,SERVICES,Mt,0,0,
Commision,Commision,SERVICES,Mt,0,0,
LC Fees,LC Fees,SERVICES,Mt,0,0,
Address Commission,Address Commission,SERVICES,Mt,0,0,
Additional berth,Additional berth,SERVICES,Mt,0,0,
P&I charterer's liability,P&I charterer's liability,SERVICES,Mt,0,0,
BAF,Bunker adjustment factor,SERVICES,Mt,0,0,
Negative ACCT,Negative ACCT,SERVICES,Mt,0,0,
Positive ACCT,Positive ACCT,SERVICES,Mt,0,0,
METI freight,METI,SERVICES,Mt,0,0,
COAnalysis,COAnalysis,SERVICES,Mt,0,0,
Expected Revenue,Expected Revenue,SERVICES,Mt,0,0,
Premium + 5% Tax,Premium + 5% Tax,SERVICES,Mt,0,0,
Future allocation,Future allocation,SERVICES,Mt,0,0,
Profit sharing,Profit sharing,SERVICES,Mt,0,0,
Deal Revenue,Invoice Validation Deal Revenue,SERVICES,Mt,0,0,
Contract discount / premium,Contract discount / premium,SERVICES,Mt,0,0,
1 code name category uom sale_price cost_price description
2 SWAP SWAP SERVICES Mt 0 0
3 Time Charter Hire Time Charter Hire SERVICES Mt 0 0
4 Paper allocation Paper allocation SERVICES Mt 0 0
5 FX Difference FX Difference SERVICES Mt 0 0
6 Freight Commission Freight Commission SERVICES Mt 0 0
7 CFD CFD SERVICES Mt 0 0
8 Deal Expense Invoice Validation Deal Expense SERVICES Mt 0 0
9 Spot Owner Demurrage Spot Owner Demurrage SERVICES Mt 0 0
10 Product Commission Commission SERVICES Mt 0 0
11 Claim Amount Claim Amount SERVICES Mt 0 0
12 Import Tax Import Tax SERVICES Mt 0 0
13 Freight Freight SERVICES Mt 0 0
14 Other Other SERVICES Mt 0 0
15 Port Costs Port Costs SERVICES Mt 0 0
16 Demurrage Demurrage SERVICES Mt 0 0
17 Finance Finance SERVICES Mt 0 0
18 Hedging Hedging SERVICES Mt 0 0
19 Agency Fees Agency Fees SERVICES Mt 0 0
20 Bunker Costs Bunker Costs SERVICES Mt 0 0
21 EU ETS EU ETS SERVICES Mt 0 0
22 Inspection Inspection SERVICES Mt 0 0
23 Banking Charges Banking Charges SERVICES Mt 0 0
24 Insurance Insurance SERVICES Mt 0 0
25 Broker Fees Broker Fees SERVICES Mt 0 0
26 Commision Commision SERVICES Mt 0 0
27 LC Fees LC Fees SERVICES Mt 0 0
28 Address Commission Address Commission SERVICES Mt 0 0
29 Additional berth Additional berth SERVICES Mt 0 0
30 P&I charterer's liability P&I charterer's liability SERVICES Mt 0 0
31 BAF Bunker adjustment factor SERVICES Mt 0 0
32 Negative ACCT Negative ACCT SERVICES Mt 0 0
33 Positive ACCT Positive ACCT SERVICES Mt 0 0
34 METI freight METI SERVICES Mt 0 0
35 COAnalysis COAnalysis SERVICES Mt 0 0
36 Expected Revenue Expected Revenue SERVICES Mt 0 0
37 Premium + 5% Tax Premium + 5% Tax SERVICES Mt 0 0
38 Future allocation Future allocation SERVICES Mt 0 0
39 Profit sharing Profit sharing SERVICES Mt 0 0
40 Deal Revenue Invoice Validation Deal Revenue SERVICES Mt 0 0
41 Contract discount / premium Contract discount / premium SERVICES Mt 0 0

34
Reference Data/python_project/loaders/Supplier_Stock_Locations.csv Normal file
View File

@@ -0,0 +1,34 @@
name,type,lat,lon
Antwerpen,supplier,51.2309677570105,4.37805175781251
Bandirma,supplier,40.369697136983,27.9607200622559
Callao,supplier,-12.0144723358403,-77.1260833740236
Donghae,supplier,0,0
Fangcheng,supplier,21.6140258994842,108.322792053223
Hamburg,supplier,53.57532,10.01534
Hazira,supplier,21.125681,82.794998
Hibi,supplier,34.39572,133.78713
Huelva,supplier,37.26638,-6.94004
Ilo,supplier,-17.6361697242517,-71.4935302734376
Japan,supplier,37.3002752813444,138.515625
Laizhou,supplier,37.2882577829837,119.795265197754
Lazaro Cardenas,supplier,17.9073656185063,-102.127704620362
Longkou,supplier,34.668138,104.165802
Naoshima,supplier,34.4612772884371,134.009170532227
Niihama,supplier,34.0407116420786,133.319778442383
Ningde,supplier,26.6965451115852,119.752349853516
Odda,supplier,52.133057,5.29525
Onahama,supplier,36.9268411923102,140.907897949219
Onsan,supplier,35.4601106672107,129.37671661377
Pori,supplier,61.6450645681561,21.3828277587891
Putian,supplier,0,0
Qingdao,supplier,36.06605,120.36939
Rizhao,supplier,0,0
Ronnskar,supplier,64.6574030409482,21.2832641601563
Rugao,supplier,32.0645374947014,120.495300292969
Saganoseki,supplier,33.2411282959313,131.885418891907
Taichung,supplier,0,0
Tampa,supplier,27.897652653541,-82.4285316467287
Ulsan,supplier,35.5366963783951,129.458084106446
Yeosu,supplier,34.7416124988318,127.705078125
YIZHENG,supplier,32.2244855374297,119.227289967737
Zhangjiagang,supplier,31.96815,120.40019
1 name type lat lon
2 Antwerpen supplier 51.2309677570105 4.37805175781251
3 Bandirma supplier 40.369697136983 27.9607200622559
4 Callao supplier -12.0144723358403 -77.1260833740236
5 Donghae supplier 0 0
6 Fangcheng supplier 21.6140258994842 108.322792053223
7 Hamburg supplier 53.57532 10.01534
8 Hazira supplier 21.125681 82.794998
9 Hibi supplier 34.39572 133.78713
10 Huelva supplier 37.26638 -6.94004
11 Ilo supplier -17.6361697242517 -71.4935302734376
12 Japan supplier 37.3002752813444 138.515625
13 Laizhou supplier 37.2882577829837 119.795265197754
14 Lazaro Cardenas supplier 17.9073656185063 -102.127704620362
15 Longkou supplier 34.668138 104.165802
16 Naoshima supplier 34.4612772884371 134.009170532227
17 Niihama supplier 34.0407116420786 133.319778442383
18 Ningde supplier 26.6965451115852 119.752349853516
19 Odda supplier 52.133057 5.29525
20 Onahama supplier 36.9268411923102 140.907897949219
21 Onsan supplier 35.4601106672107 129.37671661377
22 Pori supplier 61.6450645681561 21.3828277587891
23 Putian supplier 0 0
24 Qingdao supplier 36.06605 120.36939
25 Rizhao supplier 0 0
26 Ronnskar supplier 64.6574030409482 21.2832641601563
27 Rugao supplier 32.0645374947014 120.495300292969
28 Saganoseki supplier 33.2411282959313 131.885418891907
29 Taichung supplier 0 0
30 Tampa supplier 27.897652653541 -82.4285316467287
31 Ulsan supplier 35.5366963783951 129.458084106446
32 Yeosu supplier 34.7416124988318 127.705078125
33 YIZHENG supplier 32.2244855374297 119.227289967737
34 Zhangjiagang supplier 31.96815 120.40019

796
Reference Data/python_project/loaders/Vessels.csv Normal file
View File

@@ -0,0 +1,796 @@
vessel_name,vessel_year,vessel_imo
Fairchem Blue Shark,2019,9804837
Woojin Evelyn,2002,9269594
Sigaia Theresa,2015,NULL
Sc Hongkong,2001,9187904
Chem Sol,2017,9739276
Southern Vulture,2018,9852274
Chembulk Yokohama,2003,9276248
Fuji Galaxy,2010,9490301
Ctg Bismuth,2016,9739290
Navig8 Violette,2015,9690626
Stolt Sun,2000,9149512
Houyoshi Park,2016,9725847
Beatrice,2013,9674763
Yc Azalea,2004,9272682
Argent Hibiscus,2010,9414266
Fairchem Success,2017,9798648
Pvt Sunrise,2011,9565742
Stolt Inspiration,1997,9102083
Tiger Reliance,2018,9800776
Bow Hercules,2017,9752046
Stolt Strength,2005,9311024
Lila Vancouver,2008,9407067
Southern Puma,2016,9792008
Niseko Galaxy,2020,9804930
Sun Freesia,2019,9570591
Navig8 Ammolite,2015,9727534
Qikiqtaaluk W.,2011,9421221
Ginga Lynx,2009,9442550
Lime Galaxy,2008,9380972
Skarven,2009,9400394
Davide B,2016,9721750
Ginga Leopard,2008,9425992
Eastern Quest,2009,9472749
Halcon Trader,2016,9742053
Bow Orion,2019,9818515
Navig8 Azotic,2016,9719757
Chemstar Sapphire,2019,9804904
Chem Altamira,2015,9705744
Chemroad Queen,2015,9737151
Chem Sea 1,2016,9731729
Dongyang Chemi,2001,9255969
Shamrock Jupiter,2009,9416082
Bow Faith,1997,9114232
Brillante,2017,9743825
Bow Summer,2005,9215270
Team Sapphire,2004,9312406
Mtm Santos,2015,9712606
Asl Orchid,2011,9594157
Sichem Mississipi,2008,9376658
Chemroute Brilliant,2009,9442562
Chemstar Jewel,2012,9624782
Pacific Endeavor,2011,9490325
Sky Ploeg,2015,9724441
Chemroute Pegasus,2012,9566162
Stolt Ajisai,2011,9477555
Stolt Greenshank,2011,9518799
Golden Hachi,2020,9874583
Mtm Tortola,2016,9742065
Sg Pegasus,2011,9494876
Bow Sirius,2006,9215294
Chemroad Echo,2004,9284685
No.2 Asian Pioneer,2016,9730983
Condor Trader,2016,9742077
Sichem Palace,2004,9304318
Mtm Colorado,2004,9278052
Alessandro Dp,2007,9384162
Kitikmeot W.,2010,9421219
Nordic Ami,2019,9800051
Golden Resolution,2014,9710074
Stolt Kashi,2003,9266243
Chem Wolverine,2006,9340439
Golden Prelude,2021,9881079
Cs Onsan,2013,9659684
Mtm Amsterdam,2018,9776444
Stolt Endurance,2004,9284697
Celsius Mumbai,2005,9304332
Stolt Invention,1997,9102100
Chem Barcelona,2016,9725835
Komodo Park,2024,9981465
Eva Tokyo,2019,9865520
Heung-a Pioneer,2008,9415478
Golden Sky,2017,9792151
Nordic Copenhagen,2019,9796810
Stolt Pondo,2007,9374521
Emanuele S,2007,9298363
Giancarlo D,2016,9721748
Chemraod Hawk,2018,9790622
Sichem Marseill,2007,9378199
Navig8 Victoria,2015,9690614
Stolt Kiri,2003,9266231
Royal Crystal 7,2007,9381330
Stolt Groenland,2009,9414072
Ensemble,2017,9749453
Golden Yosa,2008,9407081
Golden Wave,2019,9819911
Sichem Iris,2008,9392183
Fairchem Katana,2016,9749685
Chembulk Virgin Gorda,2004,9294288
Ginga Puma,2006,9343780
Arpeggio,2017,9749441
Southern Bull,2007,9378785
Mtm New York,2016,9749386
Golden Ace,2015,9736626
Chemroute Sky,2010,9508160
Zy Galaxy,1997,9143221
Daesan Chemi,2004,9303273
Marquette,2016,9732785
Fairchem Thresher,2019,9829746
Sun Diana,2009,9409508
Xena,2007,9360958
Chem Stream,2010,9479979
Navig8 Axinite,2016,9719771
Bay Pride,2017,9806665
Mtm Penang,2015,9712591
Chem Tiger,2003,9287297
Argent Daisy,2009,9382061
Navig8 Andesine,2015,9711559
Chem Mia,2008,9407093
Stolt Hagi,2016,9750206
Gwen,2008,9407067
Bow Saga,2007,9215309
Amagi Galaxy,2010,9490313
Chem Mercury,2018,9815276
Bow Precision,2018,9790646
Chem Spica,2017,9739264
Jal Kisan,2002,9223851
Stolt Loyalty,2017,9680114
Sc Golden Fortune Lx,2000,9233870
Bow Sea,2006,9215282
Chembulk Columbus,2011,9515319
Stolt Creativity,1997,9102095
Chem Lithium,2017,9815252
Tiger Integrity,2018,9760574
Stolt Innovation,1996,9102069
Chem New York,2014,9705732
Navig8 Amber,2015,9714056
Golden Taka,2004,9305544
Chembulk Singapore,2007,9330587
Stolt Bobcat,2009,9511167
Easterly As Omaria,2007,9363819
Southern Mermaid,2014,9724166
Golden Australis,2020,9882748
Giovanni Dp,2003,9261516
Navig8 Almandine,2015,9714068
Genuine Venus,2013,9613965
Trf Miami,2008,9416056
Stolt Vestland,1992,8911669
Hafnia Azurite,2016,9727560
Chemroad Sea,2011,9565730
Stolt Acer,2004,9272668
"Chem Spark ",2016,9731743
Naeba Galaxy,2018,9791169
Southern Turkey,2018,9749740
Sg Friendship,2003,9288576
Bow Santos,2004,9303651
Dreggen,2008,9416070
Golden Pioneer,2010,9421594
Fsl London,2006,9340465
Stolt Yuri,2016,9750218
Roseanne,2003,9300544
Golden Grace,2005,9317030
Mtm Gibraltar,2003,9282924
Southern Owl,2016,9773143
Sichem Melbourne,2007,9376921
Argent Aster,2007,9379959
Golden Orion,2014,9712333
Stolt Jaeger,1997,9114775
Bow Olympus,2019,9818527
Sc Chongqing,2010,9425045
Ocean Hope,2006,9340453
Celsius Middelfart,2015,9733349
Easterly As Olivia,2007,9340489
Woojin Kelly,2006,9330408
Stolt Effort,1999,9178202
Stolt Virtue,2004,9274317
Eva Usuki,2020,9865532
Golden Jupiter,2019,9837573
Dh Diligency,2019,9813060
Singapore Pioneer,2009,9478262
Bow Flower,1994,9047491
Alden,2016,9733363
Bunga Lily,2011,9542178
Stolt Megami,2008,9425980
Bochem Singapura,2011,9565625
Tiger Perseverance,2019,9800788
Dm Emerald,2010,9412763
Celsius Miami,2005,9304320
Bochem Bucephalas,2023,9760550
Akra 103,2000,9187538
Stream Baltic,2019,9838668
Bow Clipper,1995,9047518
Saehan Nuria,2010,NULL
Golden Betelgeuse,2019,9458315
Chem New Orleans,2015,9705756
Yangon,2003,9250165
Chembulk Tortola,2007,9342786
Chem Sirius,2011,9558397
Bow Compass,2009,9412737
Stellar Lilac,2008,9499943
Stream Pacific,2019,9838670
Fairchem Fortitude,2020,9805910
Orchid Sylt,2009,9367413
Manila I,2003,9242326
Chem Star,1997,9156541
Stolt Courage,2004,9296731
Sichem Beijing,2007,9397042
Greenwich Park,2011,9505998
Stolt Stream,2000,9169940
Jutlandia Swan,2015,9736638
Hafnia Topaz,2016,9753686
No2. Heung-a Pioneer,2008,9415480
Bow Dalian,2012,9504205
Chemocean Orion,2018,9777412
Albatross Trader,2015,9724063
Yc Pansy,2005,9311256
Bow Palladium,2017,9777371
Sc Chengdu,2010,9572185
Ulriken,2006,9325843
Mtm Hamburg,2008,9379844
Jipro Isis,2008,9370719
"Graceful Star ",1995,9102928
Chem Venus,2004,9324215
Awasan Pioneer,2009,9438925
Stolt Larix,2015,9617650
Stolt Achievement,1999,9124469
Rudolf Schulte,2011,9576765
Jipro Neftis,2011,9459292
Bow Gemini,2017,9752034
Guanaco,2003,9256834
Stolt Satsuki,2017,9781114
Mtm Dublin,2008,9335824
Stolt Flamenco,2010,9391995
Bow Nangang,2013,9504217
Songa Winds,2009,9416109
Concerto,2017,9743837
Stanley Park,2008,9363845
Stolt Confidence,1996,9102071
Bow Firda,2003,9250751
Bow Flora,1998,9143207
Reinhold Schulte,2012,9576789
Stolt Zulu,2006,9351531
Sinar Malahayati,2006,9349643
Chemroad Polaris,2014,9536923
Stolt Ilex,2010,9505936
Stolt Sisto,2010,9359375
Bristol Trader,2016,9737101
Bochem Mumbai,2010,9565637
Great Epsilon,2020,9873644
Chemstar Iris,2018,9827463
Fairchem Integrity,2019,9860192
Chemroad Rose,2005,9317846
Stolt Lerk,2017,9719252
Bow Hector,2009,9363493
Sichem Amethyst,2006,9354571
Sichem Ruby,2006,9344174
Koryu,2013,9668283
Nordic Aqua,2018,9800116
As Orelia,2008,9363821
Sunrise Ray,2018,9829679
Chem Saiph,2017,9731781
Dh Diligency,2019,9813060
Golden Denise,2006,9366196
Navig8 Gauntlet,2019,9853228
Tiger Tenacity,2017,9760550
Genuine Hercules,2013,9597147
Saehan Jasper,2009,9416111
Korea Chemi,2004,9274276
Astra,2003,9273387
Sichem Manila,2007,9322097
Dionne,2018,9814909
Jbu Sapphire,2009,9412725
Ginga Jaguar,2005,9321873
Goldengate Park,2013,9493145
Chemroad Aqua,2018,9790610
Xing Tong Kai Ming,2024,9988059
Mtm Newport,2018,9774575
Harsanadi,1999,9220196
Fairchem Sabre,2013,9657478
Wawasan Jade,2010,9565613
Damiania,2006,9308235
Uacc Manama,2010,9458822
Stolt Concept,1999,9178197
Eastern Liberty,2002,9276236
Stolt Perseverance,2001,9124471
Caribbean 1,2009,9416094
Ginga Cougar,2005,9321861
Serene Monaco,2005,9309629
Tablones,2003,9043093
Capella,2003,9278650
Ginga Lion,2004,9278727
Sc Petrel,2016,9746176
Scarlet Ray,2020,9799654
Bow Architect,2005,9319480
Eastern Neptune,2006,9370630
Bay Yasu,2008,9363869
Stolt Aguila,2009,9391983
Royal Aqua,2008,9381366
Xanthia,2003,9246152
Sfl Aruba,2022,9919761
Mtm Shanghai,2006,9345908
Lincoln Park,2012,9640097
Chem Rotterdam,2014,9640140
Stolt Magnesium,2017,9739317
Ginga Cheetah,2007,9414216
Mac London,2003,9296872
Eva Hongkong,2017,9800001
Southern Shark,2016,9821299
Navig8 Tanzanite,2016,9753703
Octaden,2007,9340477
Swan Pacific,2016,9749805
Mtm Southport,2008,9416032
Stolt Island,2009,9414058
Jbu Opal,2009,9400409
Songa Challenge,2009,9409510
Ammolit,1995,9016870
Ariane Makara,2009,9442548
Intermezzo,2019,9804825
Bow Capricorn,2016,9752010
Jkt Shanghai,2000,9175535
Sun Ploeg,2015,9724439
Stolt Norland,2009,9414060
Bay Spirit,2019,9852286
Southern Giraffe,2008,9415014
Chemocean Leo,2018,9777424
Sun Triton,2017,9781097
Indigo Ray,2016,9716016
Argent Gerbera,2010,9424596
Sc Virgo,2017,9801093
Ivory Ray,2011,9505986
Sichem Lily,2009,9393395
Songa Dream,2010,9505948
Stolt Distributor,2002,9276145
Celsius Eagle,2010,9423750
Chem Argon,2016,9716004
Sc Taurus,2017,9801081
Fairchem Victory,2016,9773179
Stolt Glory,2005,9311012
Stolt Tenacity,2017,9680102
Clarice,2014,9674775
Stolt Cobalt,2016,9739305
Chem Antares,2004,9286554
Om Shanghai,2007,9358632
Stolt Spruce,1993,8919037
Ginga Ocelot,2013,9581423
Ulsan Chemi,2003,9279927
Stolt Cedar,1994,8919049
Sichem Challenge,1998,9196448
Navig8 Amethyst,2015,9714501
Patalya,2005,9305180
Mtm Rotterdam,2011,9477567
Stolt Surf,2000,9168623
Chembulk Kobe,2002,9263136
Nordic Masa,2009,9451410
Hakone Galaxy,2018,9791171
Stolt Skua,1999,9199311
Songa Breeze,2009,9423645
Southern Xantis,2020,9883493
Stolt Sakura,2010,9432969
Nordic Marita,2012,9558402
Stolt Sea,1999,9149495
Ginga Saker,2003,9258155
Chemstar Stellar,2012,9624770
Fg Rotterdam,2012,9485863
Fairchem Blade,2014,9692416
Chemstar Tierra,2018,9827451
Purple Ray,2020,9804899
Chem Bulldog,2010,9587790
Mtm Singapore,2011,9477529
Moyra,2005,9271999
Chem Stellar,2016,9731755
Clayton,2025,1019979
Stolt Sanderling,2011,9518804
Ginga Panther,2007,9379985
Sichem Hong Kong,2007,9397054
Hyde Park,2017,9725861
Fairchem Endurance,2020,9800441
Bow Faith,1997,5408609
Alpaca,2010,9403293
Golden Vega,2016,9773167
Melderskin,2016,9737577
Stolt Sneland,2008,9352212
Doris Ruby,2003,9279939
Moquegua,2002,9262869
Sc Mercury,2016,9746188
Mid Eagle,2007,9330795
Crimson Ray,2007,9347152
Stolt Efficiency,1998,9102112
Stolt Basuto,2006,9351543
Stolt Alm,2016,9719238
Jazz,2019,9804849
Sun Jupiter,2019,9837573
"Magenta Ray ",2019,9829722
Gt Star,2012,9485849
Fairchem Tiger,2019,9829760
Stolt Voyager,2003,9297292
Stolt Quetzal,2009,9376660
G Silver,2004,9324215
Chem Silicon,2018,9829681
Concon Trader,2018,9800037
Huemul,2008,9371775
As Omaria,2007,9363819
Rayong Chemi,2002,9257125
Navig8 Aventurine,2015,9711547
Stolt Mercury,2017,9739329
Fairchem Falcon,2018,9799642
Fairchem Copper,2019,9829758
Sea Ploeg,2016,9724453
Stolt Breland,2010,9414084
Mtm Tokyo,2003,9279111
Chemroad Journey,2009,9414254
Intrepid Seahawk,2011,9576777
Mtm North Sound,2006,9360946
Stolt Lotus,2014,9617648
Carole M,2016,9732797
Stolt Integrity,2017,9680097
Dh Fealty,2018,9829772
Stolt Maple,2017,9764491
Southern Falcon,2008,9414993
Bow Jaguar,2024,9989209
Melito Carrier,1993,8920581
Saehan Intrasia,2005,9330460
Golden Cygnus,2010,9498080
Chemraod Lily,2006,9325855
Hafnia Turquoise,2016,9753674
Golden Mind,2020,9881067
Cutlass Galaxy,2015,9746164
Navig8 Tourmaline,2016,9753698
Mac Singapore,2001,9244386
Radiant Ray,2018,9749697
Stolt Momiji,2010,9470545
Sun Dahlia,2018,9570577
Zoey,2011,9624548
Mtm Amazon,2007,9374533
Southern Quokka,2017,9792010
Chembulk Barcelona,2004,9278662
Navig8 Aragonite,2015,9727558
Shamrock Mercury,2010,9477531
Ginga Caracal,2009,9426300
Mid Nature,2011,9542154
Ginga Hawk,2000,9222651
Stolt Lind,2017,9719264
Stolt Pelican,1996,9016882
Central Park,2015,9725823
Amelia,2011,9624768
Bow Harmony,2008,9379909
Bow Fortune,1999,9168635
Golden Leader,2017,9805130
Chemroad Quest,2010,9451288
Mtm Vancouver,2019,9867607
Celsius Manhattan,2006,9323766
Chem Houston,2014,9705720
Golden Aspirant,2016,9758313
Lumphini Park,2013,9640114
Navig8 Adamite,2015,9727546
Mandal,2016,9732773
Nordic Callao,2019,9340439
Stolt Sypress,1998,9150315
Tsukuba Galaxy,2020,9796834
Chemroad Orchid,2019,9790608
Valentine,2008,9504023
Trf Bergen,2015,9692246
Nordic Americas,2004,9304306
Stolt Focus,2001,9214305
Golden Ray,2012,9640102
Stolt Kingfisher,1998,9154323
Fairchem Bronco,2007,9360960
Sc Falcon,2016,9746190
Nordic Ace,2018,9800104
Tivoli Park,2018,9780536
Bow Tungsten,2018,9777400
Fanfare,2018,9760562
Chemroad Sirius,2018,9757979
Yelena,2011,9613616
Susana S,2009,9406714
Chemroad Hope,2011,9565754
Spring Ploeg,2017,9774707
Edge Galaxy,2017,9788954
Forest Park,2013,9640126
Southern Hawk,2009,9534901
Zao Galaxy,2012,9566150
Pvt Jupiter,2008,9408803
Stolt Redshank,2011,9566746
Bochem Ghent,2011,9565649
Chemstar River,2017,9758026
Golden Creation,NULL,NULL
Golden Vega,0,NULL
Chem Selenium,0,NULL
Bunga Laurel,NULL,NULL
Bow Condor,0,NULL
Ncc Mekka,1995,9047752
Mac Singapore,2001,9244386
Southern Lion,NULL,NULL
Navi8 Spark,NULL,NULL
Sea Ploeg,NULL,NULL
Golden Creation,NULL,NULL
Mtm Rotterdam,NULL,NULL
Bow Andes,0,NULL
Southern Lion,2011,9567752
"Genuine Galaxy ",0,NULL
Fairchem Triumph,2017,9758038
Polaris Stardom,20089,9470246
Conti Chivalry,NULL,NULL
Bunga Lucerne,2012,9508938
Bw Helium,NULL,NULL
Chembulk Sydney,NULL,NULL
Dh Glory,2020,9815628
Nordic Maya,2005,9339351
Ginga Liger,2021,9893448
Esteem Sango,2021,9900461
Sun Iris,2020,9873254
Goldstar Shine,2004,9279707
Cnc Dream,2004,9305544
Golden Procyon,2015,9750476
Bochem Chennai,2012,9565766
Bochem Chennai,2012,9565766
Bochem Chennai,2012,9565766
Sc Brilliant,2007,9340702
Fairchem Angel,2020,9809394
Itsa Ship Accounting,NULL,None
Forshun,2001,9236054
Pacific Star,2008,9363481
Chermoute Pegasus,2012,9566162
Barbouni,2007,9416020
Lisbon,2000,9223916
Benten Galaxy,2022,NULL
Pvt Azura,2009,9423683
Southern Narwhal,2015,9715995
Mid Fortune,2009,9423683
Bum Shin,2003,9263095
G Bright,2004,9294276
Golden Unity,2011,9572575
T Procyon,2021,9569499
Chem Leona,2010,9505948
Chemroute Sun,2008,9414228
Fairchem Fynbos,2021,9914292
Chem Sceptrum,2017,9731793
Begonia,2005,9330381
Takao Galaxy,2022,9920069
Daeho Sunny,2009,9511105
Bow Cecil,1998,9143219
Sc Scorpio,2017,9801079
Stolt Argon,2016,9739288
Thai Chemi,2006,9330393
Easterly As Omaria,2007,9340489
Taruca,2005,9331402
Lila Confidence,2006,9340427
Eva Fuji,2021,9914242
Bochem Marengo,2017,9749025
Whitney,2009,9551337
Hakuba Galaxy,2021,9804916
Kamui Galaxy,2022,9942653
Chem Sea 1,2016,9731729
Golden Axis,2022,9930832
Chem Star 1,2016,9731731
Stolt Bismuth,2016,9739290
Tsurugi Galaxy,2020,9875501
Tsukuba Galaxy,NULL,9796834
Chem Sceptrum,2017,9731793
Bangkok Chemi,2006,9330410
Bochem London,2016,9743849
Stream Arctic,2019,9817509
Woojin Elvis,2009,9442665
Stolt Fulmar,2000,9148972
Fairchem Conquest,2017,9798648
Ginga Tiger,2003,9278715
Mumbai,2003,9242338
Stolt Facto,2010,9359363
Chem Taurus,2010,9477505
Silver Ray,2013,9493133
Navig8 Aronaldo,2015,9711561
Blue Arrow,2012,9630444
Slogen,2016,9733375
Hodaka Galaxy,2018,9791157
Bow Prosper,2020,9866770
Mtm Kobe,2018,9776456
Marex Sara,2016,9773997
Rlo Explorer,1998,9148958
Chemroute Oasis,2011,9512173
Chemroad Dita,2009,9414242
Karruca,2001,9216470
Stolt Span,1999,9149524
Lavender Ray,2017,9740794
Bow Cedar,1996,9087013
Malbec Legend,2016,9732814
Stolt Ocelot,2008,9459539
Stolt Orca,2012,9565699
Ct Ace,2006,9352597
Mar Camino,2010,9573892
Hari Akash,1998,9156553
Bow Performer,2018,9790658
Bochem Oslo,2010,9420710
Fairchem Valor,2019,9791195
"Jal Garuda ",2000,9196709
Fairchem Kiso,2011,9527075
Argent Sunrise,2008,9392377
Golden Creation,2015,9738662
Stolt Kikyo,1998,9156565
Ami,2006,9360934
Panagia Thalassini,2017,9730335
Stolt Renge,2017,9781126
Sun Venus,2016,9774410
Eastern Oasis,2007,9383986
Ogino Park,2017,9725873
Golden Deneb,2019,9859258
Patrona I,2004,9305178
Navig8 Achroite,2016,9727584
Golden Chie,2010,9566203
Bay Dignity,2017,9806706
Marmotas,2005,9304344
Global Pioneer,2010,9542142
Ds Cougar,2009,9515292
Mtm Houston,2010,9505924
Stolt Commitment,2000,9168647
Songa Peace,2009,9409522
Nave Polaris,2011,9457749
Southern Unicorn,2018,9749702
Tiger Glory,2017,9749025
Rabigh Sun,2008,9392365
Stolt Pride,2016,9680073
Ct Confidence,2006,9340427
Bow Neon,2017,9777369
"Griya Bugis ",1998,9191280
Nocturne,2020,9804863
Raon Teresa,2002,9244984
Nordic Ann,2010,9422665
Yc Daisy,2005,9304344
Stolt Seagull,1997,9125645
Fairchem Pinnacle,2025,NULL
Azalea Galaxy,2006,9343778
Stolt Rindo,2005,9314765
Navig8 Sky,2016,9731731
Rt Star,2011,9523835
Ctg Argon,2016,9739288
Navig8 Ametrine,2015,9714513
Stolt Palm,2018,9764506
Hicri Kaan,1998,9171474
Chemtrans Mobile,2016,9732802
Stolt Sycamore,2000,9198563
Bow Condor,2000,9214032
Bunga Lilac,2011,9542166
Southern Robin,2018,9749714
Bow Star,2004,9197296
Stolt Excellence,2018,9720081
Sagami,2008,9379911
Stolt Tsubaki,2011,9477543
Bow Chain,2002,9214317
Nq Laelia,2008,9393383
Rainbow Island 88,2004,9286542
Chembulk Vancouver,2003,9282364
Mtm Big Apple,2018,9774563
Bunga Laurel,2010,9529645
Stolt Apal,2016,9719240
Wawasan Topaz,2010,9565601
Sichem New York,2007,9337834
Fairchem Sword,2013,9673678
Shenghui Glory,2015,9724037
Navig8 Amazonite,2015,9719769
Bow Sun,2003,9197284
Mid Osprey,2006,9330783
Stolt Vision,2005,9274329
Celsius Messina,2007,9349655
Nordic Aki,2011,9505974
Stolt Selje,1993,8919051
Navig8 Goal,2019,9853216
Ginga Fortitude,2020,9805910
Yc,NULL,NULL
Stolt Spray,2000,9168611
Nq Morina,2002,9243382
Nordic Mari,2010,9422677
Golden Mercury,2003,9272802
Asian Pioneer,2015,9730971
Linken,2016,9733351
Lila Evia,2006,9330771
Mtm Fairfield,2002,9264465
Stolt Ebony,2017,9744908
Stolt Teal,1999,9199323
Mtm New Orleans,2016,9749398
Bow Engineer,2006,9317860
Lavraki,2007,9323077
Stolt Sandpiper,2011,9566758
Golden Sirius,2009,9478274
Fuji Lava,2010,9468528
Flumar Maceio,2006,9345893
Ginga Merlin,2002,9254252
Bow Glory,2017,9758038
Mtm Savannah,2015,9726750
Malbec Legacy,2016,9732826
Wolverine,2006,9043081
Forte Galaxy,2018,NULL
Uacc Marah,2013,9489091
Chem Neon,2018,9815264
"Blue Arrow ",2012,9630444
Xt Sea Lion,2025,1042378
Navig8 Universe,2013,9489106
Sunny Orion,2010,9511143
Stolt Betula,2003,9266267
Stolt Suisen,1998,9156577
Bow Spring,2004,9215256
Bow Cardinal,1997,9114244
Bow Platinum,2018,9777383
Mtm Hudson,2004,9278064
Chem Cobalt,2016,9740770
Eva Bergen,2018,9800013
Latana,2000,9186352
Eastern Prosperity,2008,9383998
"Bellis Theresa ",2000,9192375
Chem Singapore,2015,9705768
Floyen,2016,9749790
Kaimon Galaxy,2012,9552472
Sunny Orion,2010,9511143
Chemstar River,2017,9758026
Fairchem Loyalty,2019,9791183
Nave Cosmos,2010,9457024
Bomar Lynx,2003,9043093
Bow Fagus,1995,9047764
Stolt Osprey,1998,9147461
Bunga Lavender,2010,9542130
Lauren,2002,9266229
Tiger Harmony,2016,9725859
Fairchem Hawk,2019,9804813
Sandro,2017,9390525
Bow Odyssey,2020,9818539
Horin Trader,2015,9724051
Bow Caroline,2009,9367554
Chem Gallium,2017,9740782
Ginga Kite,2001,9228291
Summer Ploeg,2017,9790464
Wawasan Ruby,2010,9477517
Menuett,2019,9790634
Acadia Park,2018,9780548
Sun Neptune,2007,9363807
Marigold,2000,9221669
Chemroad Haya,2004,9303649
Ginga Bobcat,2010,9472737
Key Wind,1999,9148960
Uacc Riyadh,2011,9458834
Bochem Bayard,2017,9749025
Bow Titanium,2018,9777395
Ebony Ray,2008,9363857
Stolt Viking,2001,9196711
Mtm Westport,2005,9317858
Mtm Key West,2020,9790672
Navig8 Aquamarine,2015,9711573
Chem Amsterdam,2013,9640138
Fairchem Honor,2019,9860207
Stolt Sincerity,2016,9680085
Woojin Chemi,2003,9272814
Sichem Mumbai,2006,9322085
Pacific Sapphire,2008,9508158
Jbu Onyx,2008,9392999
Southern Wolf,2019,9867267
Stolt Calluna,2017,9744893
Bow Sky,2005,9215268
Chem Polaris,2008,9416044
Southern Condor,2007,9441659
Golden Sagittarius,2019,9867073
Chemroad Sakura,2018,9757967
Navig8 Alabaster,2015,9727572
Prabhu Parvati,2008,NULL
Sun Edelweiss,2018,9570589
Fairchem Aldebaran,2017,9552666
Stolt Capability,1998,9102124
Straum,2010,9406726
Cypress Galaxy,2007,9379973
Stolt Vanguard,2004,9274305
Mtm Antwerp,2004,9291456
Diva,2017,9760548
Bow Fuling,2012,9504190
Navig8 Amessi,2015,9719745
Stolt Sequoia,2003,9235062
Golden Dream,2002,9255971
Bochem Luxembourg,2015,9737565
Stolt Sagaland,2008,9352200
Harmonics,2019,9799680
Alessandro Dp,2007,9384162
Battersea Park,2002,9255983
Gallop,2019,9799678
Kiso,2008,9379894
Chemroad Wing,2005,9309502
Sc Citrine,2025,9989027
Vari Trader,2018,9800025
Bow Aquarius,2016,9753791
Fairchem Charger,2009,9367401
Elm Galaxy,2006,9331256
Stolt Auk,2001,9164108
Beech Galaxy,2007,9340441
Lilac Ray,2020,9883481
Fairchem Mako,2018,9826574
Argent Iris,2011,9459280
Celsius Birdie,2009,9423724
Golden Altair,2016,9792163
Celsius Mexico,2008,9408798
Woojin Frank,2005,9317262
Birdie Trader,2016,9724099
Liberty,2009,9423542
1 vessel_name vessel_year vessel_imo
2 Fairchem Blue Shark 2019 9804837
3 Woojin Evelyn 2002 9269594
4 Sigaia Theresa 2015 NULL
5 Sc Hongkong 2001 9187904
6 Chem Sol 2017 9739276
7 Southern Vulture 2018 9852274
8 Chembulk Yokohama 2003 9276248
9 Fuji Galaxy 2010 9490301
10 Ctg Bismuth 2016 9739290
11 Navig8 Violette 2015 9690626
12 Stolt Sun 2000 9149512
13 Houyoshi Park 2016 9725847
14 Beatrice 2013 9674763
15 Yc Azalea 2004 9272682
16 Argent Hibiscus 2010 9414266
17 Fairchem Success 2017 9798648
18 Pvt Sunrise 2011 9565742
19 Stolt Inspiration 1997 9102083
20 Tiger Reliance 2018 9800776
21 Bow Hercules 2017 9752046
22 Stolt Strength 2005 9311024
23 Lila Vancouver 2008 9407067
24 Southern Puma 2016 9792008
25 Niseko Galaxy 2020 9804930
26 Sun Freesia 2019 9570591
27 Navig8 Ammolite 2015 9727534
28 Qikiqtaaluk W. 2011 9421221
29 Ginga Lynx 2009 9442550
30 Lime Galaxy 2008 9380972
31 Skarven 2009 9400394
32 Davide B 2016 9721750
33 Ginga Leopard 2008 9425992
34 Eastern Quest 2009 9472749
35 Halcon Trader 2016 9742053
36 Bow Orion 2019 9818515
37 Navig8 Azotic 2016 9719757
38 Chemstar Sapphire 2019 9804904
39 Chem Altamira 2015 9705744
40 Chemroad Queen 2015 9737151
41 Chem Sea 1 2016 9731729
42 Dongyang Chemi 2001 9255969
43 Shamrock Jupiter 2009 9416082
44 Bow Faith 1997 9114232
45 Brillante 2017 9743825
46 Bow Summer 2005 9215270
47 Team Sapphire 2004 9312406
48 Mtm Santos 2015 9712606
49 Asl Orchid 2011 9594157
50 Sichem Mississipi 2008 9376658
51 Chemroute Brilliant 2009 9442562
52 Chemstar Jewel 2012 9624782
53 Pacific Endeavor 2011 9490325
54 Sky Ploeg 2015 9724441
55 Chemroute Pegasus 2012 9566162
56 Stolt Ajisai 2011 9477555
57 Stolt Greenshank 2011 9518799
58 Golden Hachi 2020 9874583
59 Mtm Tortola 2016 9742065
60 Sg Pegasus 2011 9494876
61 Bow Sirius 2006 9215294
62 Chemroad Echo 2004 9284685
63 No.2 Asian Pioneer 2016 9730983
64 Condor Trader 2016 9742077
65 Sichem Palace 2004 9304318
66 Mtm Colorado 2004 9278052
67 Alessandro Dp 2007 9384162
68 Kitikmeot W. 2010 9421219
69 Nordic Ami 2019 9800051
70 Golden Resolution 2014 9710074
71 Stolt Kashi 2003 9266243
72 Chem Wolverine 2006 9340439
73 Golden Prelude 2021 9881079
74 Cs Onsan 2013 9659684
75 Mtm Amsterdam 2018 9776444
76 Stolt Endurance 2004 9284697
77 Celsius Mumbai 2005 9304332
78 Stolt Invention 1997 9102100
79 Chem Barcelona 2016 9725835
80 Komodo Park 2024 9981465
81 Eva Tokyo 2019 9865520
82 Heung-a Pioneer 2008 9415478
83 Golden Sky 2017 9792151
84 Nordic Copenhagen 2019 9796810
85 Stolt Pondo 2007 9374521
86 Emanuele S 2007 9298363
87 Giancarlo D 2016 9721748
88 Chemraod Hawk 2018 9790622
89 Sichem Marseill 2007 9378199
90 Navig8 Victoria 2015 9690614
91 Stolt Kiri 2003 9266231
92 Royal Crystal 7 2007 9381330
93 Stolt Groenland 2009 9414072
94 Ensemble 2017 9749453
95 Golden Yosa 2008 9407081
96 Golden Wave 2019 9819911
97 Sichem Iris 2008 9392183
98 Fairchem Katana 2016 9749685
99 Chembulk Virgin Gorda 2004 9294288
100 Ginga Puma 2006 9343780
101 Arpeggio 2017 9749441
102 Southern Bull 2007 9378785
103 Mtm New York 2016 9749386
104 Golden Ace 2015 9736626
105 Chemroute Sky 2010 9508160
106 Zy Galaxy 1997 9143221
107 Daesan Chemi 2004 9303273
108 Marquette 2016 9732785
109 Fairchem Thresher 2019 9829746
110 Sun Diana 2009 9409508
111 Xena 2007 9360958
112 Chem Stream 2010 9479979
113 Navig8 Axinite 2016 9719771
114 Bay Pride 2017 9806665
115 Mtm Penang 2015 9712591
116 Chem Tiger 2003 9287297
117 Argent Daisy 2009 9382061
118 Navig8 Andesine 2015 9711559
119 Chem Mia 2008 9407093
120 Stolt Hagi 2016 9750206
121 Gwen 2008 9407067
122 Bow Saga 2007 9215309
123 Amagi Galaxy 2010 9490313
124 Chem Mercury 2018 9815276
125 Bow Precision 2018 9790646
126 Chem Spica 2017 9739264
127 Jal Kisan 2002 9223851
128 Stolt Loyalty 2017 9680114
129 Sc Golden Fortune Lx 2000 9233870
130 Bow Sea 2006 9215282
131 Chembulk Columbus 2011 9515319
132 Stolt Creativity 1997 9102095
133 Chem Lithium 2017 9815252
134 Tiger Integrity 2018 9760574
135 Stolt Innovation 1996 9102069
136 Chem New York 2014 9705732
137 Navig8 Amber 2015 9714056
138 Golden Taka 2004 9305544
139 Chembulk Singapore 2007 9330587
140 Stolt Bobcat 2009 9511167
141 Easterly As Omaria 2007 9363819
142 Southern Mermaid 2014 9724166
143 Golden Australis 2020 9882748
144 Giovanni Dp 2003 9261516
145 Navig8 Almandine 2015 9714068
146 Genuine Venus 2013 9613965
147 Trf Miami 2008 9416056
148 Stolt Vestland 1992 8911669
149 Hafnia Azurite 2016 9727560
150 Chemroad Sea 2011 9565730
151 Stolt Acer 2004 9272668
152 Chem Spark 2016 9731743
153 Naeba Galaxy 2018 9791169
154 Southern Turkey 2018 9749740
155 Sg Friendship 2003 9288576
156 Bow Santos 2004 9303651
157 Dreggen 2008 9416070
158 Golden Pioneer 2010 9421594
159 Fsl London 2006 9340465
160 Stolt Yuri 2016 9750218
161 Roseanne 2003 9300544
162 Golden Grace 2005 9317030
163 Mtm Gibraltar 2003 9282924
164 Southern Owl 2016 9773143
165 Sichem Melbourne 2007 9376921
166 Argent Aster 2007 9379959
167 Golden Orion 2014 9712333
168 Stolt Jaeger 1997 9114775
169 Bow Olympus 2019 9818527
170 Sc Chongqing 2010 9425045
171 Ocean Hope 2006 9340453
172 Celsius Middelfart 2015 9733349
173 Easterly As Olivia 2007 9340489
174 Woojin Kelly 2006 9330408
175 Stolt Effort 1999 9178202
176 Stolt Virtue 2004 9274317
177 Eva Usuki 2020 9865532
178 Golden Jupiter 2019 9837573
179 Dh Diligency 2019 9813060
180 Singapore Pioneer 2009 9478262
181 Bow Flower 1994 9047491
182 Alden 2016 9733363
183 Bunga Lily 2011 9542178
184 Stolt Megami 2008 9425980
185 Bochem Singapura 2011 9565625
186 Tiger Perseverance 2019 9800788
187 Dm Emerald 2010 9412763
188 Celsius Miami 2005 9304320
189 Bochem Bucephalas 2023 9760550
190 Akra 103 2000 9187538
191 Stream Baltic 2019 9838668
192 Bow Clipper 1995 9047518
193 Saehan Nuria 2010 NULL
194 Golden Betelgeuse 2019 9458315
195 Chem New Orleans 2015 9705756
196 Yangon 2003 9250165
197 Chembulk Tortola 2007 9342786
198 Chem Sirius 2011 9558397
199 Bow Compass 2009 9412737
200 Stellar Lilac 2008 9499943
201 Stream Pacific 2019 9838670
202 Fairchem Fortitude 2020 9805910
203 Orchid Sylt 2009 9367413
204 Manila I 2003 9242326
205 Chem Star 1997 9156541
206 Stolt Courage 2004 9296731
207 Sichem Beijing 2007 9397042
208 Greenwich Park 2011 9505998
209 Stolt Stream 2000 9169940
210 Jutlandia Swan 2015 9736638
211 Hafnia Topaz 2016 9753686
212 No2. Heung-a Pioneer 2008 9415480
213 Bow Dalian 2012 9504205
214 Chemocean Orion 2018 9777412
215 Albatross Trader 2015 9724063
216 Yc Pansy 2005 9311256
217 Bow Palladium 2017 9777371
218 Sc Chengdu 2010 9572185
219 Ulriken 2006 9325843
220 Mtm Hamburg 2008 9379844
221 Jipro Isis 2008 9370719
222 Graceful Star 1995 9102928
223 Chem Venus 2004 9324215
224 Awasan Pioneer 2009 9438925
225 Stolt Larix 2015 9617650
226 Stolt Achievement 1999 9124469
227 Rudolf Schulte 2011 9576765
228 Jipro Neftis 2011 9459292
229 Bow Gemini 2017 9752034
230 Guanaco 2003 9256834
231 Stolt Satsuki 2017 9781114
232 Mtm Dublin 2008 9335824
233 Stolt Flamenco 2010 9391995
234 Bow Nangang 2013 9504217
235 Songa Winds 2009 9416109
236 Concerto 2017 9743837
237 Stanley Park 2008 9363845
238 Stolt Confidence 1996 9102071
239 Bow Firda 2003 9250751
240 Bow Flora 1998 9143207
241 Reinhold Schulte 2012 9576789
242 Stolt Zulu 2006 9351531
243 Sinar Malahayati 2006 9349643
244 Chemroad Polaris 2014 9536923
245 Stolt Ilex 2010 9505936
246 Stolt Sisto 2010 9359375
247 Bristol Trader 2016 9737101
248 Bochem Mumbai 2010 9565637
249 Great Epsilon 2020 9873644
250 Chemstar Iris 2018 9827463
251 Fairchem Integrity 2019 9860192
252 Chemroad Rose 2005 9317846
253 Stolt Lerk 2017 9719252
254 Bow Hector 2009 9363493
255 Sichem Amethyst 2006 9354571
256 Sichem Ruby 2006 9344174
257 Koryu 2013 9668283
258 Nordic Aqua 2018 9800116
259 As Orelia 2008 9363821
260 Sunrise Ray 2018 9829679
261 Chem Saiph 2017 9731781
262 Dh Diligency 2019 9813060
263 Golden Denise 2006 9366196
264 Navig8 Gauntlet 2019 9853228
265 Tiger Tenacity 2017 9760550
266 Genuine Hercules 2013 9597147
267 Saehan Jasper 2009 9416111
268 Korea Chemi 2004 9274276
269 Astra 2003 9273387
270 Sichem Manila 2007 9322097
271 Dionne 2018 9814909
272 Jbu Sapphire 2009 9412725
273 Ginga Jaguar 2005 9321873
274 Goldengate Park 2013 9493145
275 Chemroad Aqua 2018 9790610
276 Xing Tong Kai Ming 2024 9988059
277 Mtm Newport 2018 9774575
278 Harsanadi 1999 9220196
279 Fairchem Sabre 2013 9657478
280 Wawasan Jade 2010 9565613
281 Damiania 2006 9308235
282 Uacc Manama 2010 9458822
283 Stolt Concept 1999 9178197
284 Eastern Liberty 2002 9276236
285 Stolt Perseverance 2001 9124471
286 Caribbean 1 2009 9416094
287 Ginga Cougar 2005 9321861
288 Serene Monaco 2005 9309629
289 Tablones 2003 9043093
290 Capella 2003 9278650
291 Ginga Lion 2004 9278727
292 Sc Petrel 2016 9746176
293 Scarlet Ray 2020 9799654
294 Bow Architect 2005 9319480
295 Eastern Neptune 2006 9370630
296 Bay Yasu 2008 9363869
297 Stolt Aguila 2009 9391983
298 Royal Aqua 2008 9381366
299 Xanthia 2003 9246152
300 Sfl Aruba 2022 9919761
301 Mtm Shanghai 2006 9345908
302 Lincoln Park 2012 9640097
303 Chem Rotterdam 2014 9640140
304 Stolt Magnesium 2017 9739317
305 Ginga Cheetah 2007 9414216
306 Mac London 2003 9296872
307 Eva Hongkong 2017 9800001
308 Southern Shark 2016 9821299
309 Navig8 Tanzanite 2016 9753703
310 Octaden 2007 9340477
311 Swan Pacific 2016 9749805
312 Mtm Southport 2008 9416032
313 Stolt Island 2009 9414058
314 Jbu Opal 2009 9400409
315 Songa Challenge 2009 9409510
316 Ammolit 1995 9016870
317 Ariane Makara 2009 9442548
318 Intermezzo 2019 9804825
319 Bow Capricorn 2016 9752010
320 Jkt Shanghai 2000 9175535
321 Sun Ploeg 2015 9724439
322 Stolt Norland 2009 9414060
323 Bay Spirit 2019 9852286
324 Southern Giraffe 2008 9415014
325 Chemocean Leo 2018 9777424
326 Sun Triton 2017 9781097
327 Indigo Ray 2016 9716016
328 Argent Gerbera 2010 9424596
329 Sc Virgo 2017 9801093
330 Ivory Ray 2011 9505986
331 Sichem Lily 2009 9393395
332 Songa Dream 2010 9505948
333 Stolt Distributor 2002 9276145
334 Celsius Eagle 2010 9423750
335 Chem Argon 2016 9716004
336 Sc Taurus 2017 9801081
337 Fairchem Victory 2016 9773179
338 Stolt Glory 2005 9311012
339 Stolt Tenacity 2017 9680102
340 Clarice 2014 9674775
341 Stolt Cobalt 2016 9739305
342 Chem Antares 2004 9286554
343 Om Shanghai 2007 9358632
344 Stolt Spruce 1993 8919037
345 Ginga Ocelot 2013 9581423
346 Ulsan Chemi 2003 9279927
347 Stolt Cedar 1994 8919049
348 Sichem Challenge 1998 9196448
349 Navig8 Amethyst 2015 9714501
350 Patalya 2005 9305180
351 Mtm Rotterdam 2011 9477567
352 Stolt Surf 2000 9168623
353 Chembulk Kobe 2002 9263136
354 Nordic Masa 2009 9451410
355 Hakone Galaxy 2018 9791171
356 Stolt Skua 1999 9199311
357 Songa Breeze 2009 9423645
358 Southern Xantis 2020 9883493
359 Stolt Sakura 2010 9432969
360 Nordic Marita 2012 9558402
361 Stolt Sea 1999 9149495
362 Ginga Saker 2003 9258155
363 Chemstar Stellar 2012 9624770
364 Fg Rotterdam 2012 9485863
365 Fairchem Blade 2014 9692416
366 Chemstar Tierra 2018 9827451
367 Purple Ray 2020 9804899
368 Chem Bulldog 2010 9587790
369 Mtm Singapore 2011 9477529
370 Moyra 2005 9271999
371 Chem Stellar 2016 9731755
372 Clayton 2025 1019979
373 Stolt Sanderling 2011 9518804
374 Ginga Panther 2007 9379985
375 Sichem Hong Kong 2007 9397054
376 Hyde Park 2017 9725861
377 Fairchem Endurance 2020 9800441
378 Bow Faith 1997 5408609
379 Alpaca 2010 9403293
380 Golden Vega 2016 9773167
381 Melderskin 2016 9737577
382 Stolt Sneland 2008 9352212
383 Doris Ruby 2003 9279939
384 Moquegua 2002 9262869
385 Sc Mercury 2016 9746188
386 Mid Eagle 2007 9330795
387 Crimson Ray 2007 9347152
388 Stolt Efficiency 1998 9102112
389 Stolt Basuto 2006 9351543
390 Stolt Alm 2016 9719238
391 Jazz 2019 9804849
392 Sun Jupiter 2019 9837573
393 Magenta Ray 2019 9829722
394 Gt Star 2012 9485849
395 Fairchem Tiger 2019 9829760
396 Stolt Voyager 2003 9297292
397 Stolt Quetzal 2009 9376660
398 G Silver 2004 9324215
399 Chem Silicon 2018 9829681
400 Concon Trader 2018 9800037
401 Huemul 2008 9371775
402 As Omaria 2007 9363819
403 Rayong Chemi 2002 9257125
404 Navig8 Aventurine 2015 9711547
405 Stolt Mercury 2017 9739329
406 Fairchem Falcon 2018 9799642
407 Fairchem Copper 2019 9829758
408 Sea Ploeg 2016 9724453
409 Stolt Breland 2010 9414084
410 Mtm Tokyo 2003 9279111
411 Chemroad Journey 2009 9414254
412 Intrepid Seahawk 2011 9576777
413 Mtm North Sound 2006 9360946
414 Stolt Lotus 2014 9617648
415 Carole M 2016 9732797
416 Stolt Integrity 2017 9680097
417 Dh Fealty 2018 9829772
418 Stolt Maple 2017 9764491
419 Southern Falcon 2008 9414993
420 Bow Jaguar 2024 9989209
421 Melito Carrier 1993 8920581
422 Saehan Intrasia 2005 9330460
423 Golden Cygnus 2010 9498080
424 Chemraod Lily 2006 9325855
425 Hafnia Turquoise 2016 9753674
426 Golden Mind 2020 9881067
427 Cutlass Galaxy 2015 9746164
428 Navig8 Tourmaline 2016 9753698
429 Mac Singapore 2001 9244386
430 Radiant Ray 2018 9749697
431 Stolt Momiji 2010 9470545
432 Sun Dahlia 2018 9570577
433 Zoey 2011 9624548
434 Mtm Amazon 2007 9374533
435 Southern Quokka 2017 9792010
436 Chembulk Barcelona 2004 9278662
437 Navig8 Aragonite 2015 9727558
438 Shamrock Mercury 2010 9477531
439 Ginga Caracal 2009 9426300
440 Mid Nature 2011 9542154
441 Ginga Hawk 2000 9222651
442 Stolt Lind 2017 9719264
443 Stolt Pelican 1996 9016882
444 Central Park 2015 9725823
445 Amelia 2011 9624768
446 Bow Harmony 2008 9379909
447 Bow Fortune 1999 9168635
448 Golden Leader 2017 9805130
449 Chemroad Quest 2010 9451288
450 Mtm Vancouver 2019 9867607
451 Celsius Manhattan 2006 9323766
452 Chem Houston 2014 9705720
453 Golden Aspirant 2016 9758313
454 Lumphini Park 2013 9640114
455 Navig8 Adamite 2015 9727546
456 Mandal 2016 9732773
457 Nordic Callao 2019 9340439
458 Stolt Sypress 1998 9150315
459 Tsukuba Galaxy 2020 9796834
460 Chemroad Orchid 2019 9790608
461 Valentine 2008 9504023
462 Trf Bergen 2015 9692246
463 Nordic Americas 2004 9304306
464 Stolt Focus 2001 9214305
465 Golden Ray 2012 9640102
466 Stolt Kingfisher 1998 9154323
467 Fairchem Bronco 2007 9360960
468 Sc Falcon 2016 9746190
469 Nordic Ace 2018 9800104
470 Tivoli Park 2018 9780536
471 Bow Tungsten 2018 9777400
472 Fanfare 2018 9760562
473 Chemroad Sirius 2018 9757979
474 Yelena 2011 9613616
475 Susana S 2009 9406714
476 Chemroad Hope 2011 9565754
477 Spring Ploeg 2017 9774707
478 Edge Galaxy 2017 9788954
479 Forest Park 2013 9640126
480 Southern Hawk 2009 9534901
481 Zao Galaxy 2012 9566150
482 Pvt Jupiter 2008 9408803
483 Stolt Redshank 2011 9566746
484 Bochem Ghent 2011 9565649
485 Chemstar River 2017 9758026
486 Golden Creation NULL NULL
487 Golden Vega 0 NULL
488 Chem Selenium 0 NULL
489 Bunga Laurel NULL NULL
490 Bow Condor 0 NULL
491 Ncc Mekka 1995 9047752
492 Mac Singapore 2001 9244386
493 Southern Lion NULL NULL
494 Navi8 Spark NULL NULL
495 Sea Ploeg NULL NULL
496 Golden Creation NULL NULL
497 Mtm Rotterdam NULL NULL
498 Bow Andes 0 NULL
499 Southern Lion 2011 9567752
500 Genuine Galaxy 0 NULL
501 Fairchem Triumph 2017 9758038
502 Polaris Stardom 20089 9470246
503 Conti Chivalry NULL NULL
504 Bunga Lucerne 2012 9508938
505 Bw Helium NULL NULL
506 Chembulk Sydney NULL NULL
507 Dh Glory 2020 9815628
508 Nordic Maya 2005 9339351
509 Ginga Liger 2021 9893448
510 Esteem Sango 2021 9900461
511 Sun Iris 2020 9873254
512 Goldstar Shine 2004 9279707
513 Cnc Dream 2004 9305544
514 Golden Procyon 2015 9750476
515 Bochem Chennai 2012 9565766
516 Bochem Chennai 2012 9565766
517 Bochem Chennai 2012 9565766
518 Sc Brilliant 2007 9340702
519 Fairchem Angel 2020 9809394
520 Itsa Ship Accounting NULL None
521 Forshun 2001 9236054
522 Pacific Star 2008 9363481
523 Chermoute Pegasus 2012 9566162
524 Barbouni 2007 9416020
525 Lisbon 2000 9223916
526 Benten Galaxy 2022 NULL
527 Pvt Azura 2009 9423683
528 Southern Narwhal 2015 9715995
529 Mid Fortune 2009 9423683
530 Bum Shin 2003 9263095
531 G Bright 2004 9294276
532 Golden Unity 2011 9572575
533 T Procyon 2021 9569499
534 Chem Leona 2010 9505948
535 Chemroute Sun 2008 9414228
536 Fairchem Fynbos 2021 9914292
537 Chem Sceptrum 2017 9731793
538 Begonia 2005 9330381
539 Takao Galaxy 2022 9920069
540 Daeho Sunny 2009 9511105
541 Bow Cecil 1998 9143219
542 Sc Scorpio 2017 9801079
543 Stolt Argon 2016 9739288
544 Thai Chemi 2006 9330393
545 Easterly As Omaria 2007 9340489
546 Taruca 2005 9331402
547 Lila Confidence 2006 9340427
548 Eva Fuji 2021 9914242
549 Bochem Marengo 2017 9749025
550 Whitney 2009 9551337
551 Hakuba Galaxy 2021 9804916
552 Kamui Galaxy 2022 9942653
553 Chem Sea 1 2016 9731729
554 Golden Axis 2022 9930832
555 Chem Star 1 2016 9731731
556 Stolt Bismuth 2016 9739290
557 Tsurugi Galaxy 2020 9875501
558 Tsukuba Galaxy NULL 9796834
559 Chem Sceptrum 2017 9731793
560 Bangkok Chemi 2006 9330410
561 Bochem London 2016 9743849
562 Stream Arctic 2019 9817509
563 Woojin Elvis 2009 9442665
564 Stolt Fulmar 2000 9148972
565 Fairchem Conquest 2017 9798648
566 Ginga Tiger 2003 9278715
567 Mumbai 2003 9242338
568 Stolt Facto 2010 9359363
569 Chem Taurus 2010 9477505
570 Silver Ray 2013 9493133
571 Navig8 Aronaldo 2015 9711561
572 Blue Arrow 2012 9630444
573 Slogen 2016 9733375
574 Hodaka Galaxy 2018 9791157
575 Bow Prosper 2020 9866770
576 Mtm Kobe 2018 9776456
577 Marex Sara 2016 9773997
578 Rlo Explorer 1998 9148958
579 Chemroute Oasis 2011 9512173
580 Chemroad Dita 2009 9414242
581 Karruca 2001 9216470
582 Stolt Span 1999 9149524
583 Lavender Ray 2017 9740794
584 Bow Cedar 1996 9087013
585 Malbec Legend 2016 9732814
586 Stolt Ocelot 2008 9459539
587 Stolt Orca 2012 9565699
588 Ct Ace 2006 9352597
589 Mar Camino 2010 9573892
590 Hari Akash 1998 9156553
591 Bow Performer 2018 9790658
592 Bochem Oslo 2010 9420710
593 Fairchem Valor 2019 9791195
594 Jal Garuda 2000 9196709
595 Fairchem Kiso 2011 9527075
596 Argent Sunrise 2008 9392377
597 Golden Creation 2015 9738662
598 Stolt Kikyo 1998 9156565
599 Ami 2006 9360934
600 Panagia Thalassini 2017 9730335
601 Stolt Renge 2017 9781126
602 Sun Venus 2016 9774410
603 Eastern Oasis 2007 9383986
604 Ogino Park 2017 9725873
605 Golden Deneb 2019 9859258
606 Patrona I 2004 9305178
607 Navig8 Achroite 2016 9727584
608 Golden Chie 2010 9566203
609 Bay Dignity 2017 9806706
610 Marmotas 2005 9304344
611 Global Pioneer 2010 9542142
612 Ds Cougar 2009 9515292
613 Mtm Houston 2010 9505924
614 Stolt Commitment 2000 9168647
615 Songa Peace 2009 9409522
616 Nave Polaris 2011 9457749
617 Southern Unicorn 2018 9749702
618 Tiger Glory 2017 9749025
619 Rabigh Sun 2008 9392365
620 Stolt Pride 2016 9680073
621 Ct Confidence 2006 9340427
622 Bow Neon 2017 9777369
623 Griya Bugis 1998 9191280
624 Nocturne 2020 9804863
625 Raon Teresa 2002 9244984
626 Nordic Ann 2010 9422665
627 Yc Daisy 2005 9304344
628 Stolt Seagull 1997 9125645
629 Fairchem Pinnacle 2025 NULL
630 Azalea Galaxy 2006 9343778
631 Stolt Rindo 2005 9314765
632 Navig8 Sky 2016 9731731
633 Rt Star 2011 9523835
634 Ctg Argon 2016 9739288
635 Navig8 Ametrine 2015 9714513
636 Stolt Palm 2018 9764506
637 Hicri Kaan 1998 9171474
638 Chemtrans Mobile 2016 9732802
639 Stolt Sycamore 2000 9198563
640 Bow Condor 2000 9214032
641 Bunga Lilac 2011 9542166
642 Southern Robin 2018 9749714
643 Bow Star 2004 9197296
644 Stolt Excellence 2018 9720081
645 Sagami 2008 9379911
646 Stolt Tsubaki 2011 9477543
647 Bow Chain 2002 9214317
648 Nq Laelia 2008 9393383
649 Rainbow Island 88 2004 9286542
650 Chembulk Vancouver 2003 9282364
651 Mtm Big Apple 2018 9774563
652 Bunga Laurel 2010 9529645
653 Stolt Apal 2016 9719240
654 Wawasan Topaz 2010 9565601
655 Sichem New York 2007 9337834
656 Fairchem Sword 2013 9673678
657 Shenghui Glory 2015 9724037
658 Navig8 Amazonite 2015 9719769
659 Bow Sun 2003 9197284
660 Mid Osprey 2006 9330783
661 Stolt Vision 2005 9274329
662 Celsius Messina 2007 9349655
663 Nordic Aki 2011 9505974
664 Stolt Selje 1993 8919051
665 Navig8 Goal 2019 9853216
666 Ginga Fortitude 2020 9805910
667 Yc NULL NULL
668 Stolt Spray 2000 9168611
669 Nq Morina 2002 9243382
670 Nordic Mari 2010 9422677
671 Golden Mercury 2003 9272802
672 Asian Pioneer 2015 9730971
673 Linken 2016 9733351
674 Lila Evia 2006 9330771
675 Mtm Fairfield 2002 9264465
676 Stolt Ebony 2017 9744908
677 Stolt Teal 1999 9199323
678 Mtm New Orleans 2016 9749398
679 Bow Engineer 2006 9317860
680 Lavraki 2007 9323077
681 Stolt Sandpiper 2011 9566758
682 Golden Sirius 2009 9478274
683 Fuji Lava 2010 9468528
684 Flumar Maceio 2006 9345893
685 Ginga Merlin 2002 9254252
686 Bow Glory 2017 9758038
687 Mtm Savannah 2015 9726750
688 Malbec Legacy 2016 9732826
689 Wolverine 2006 9043081
690 Forte Galaxy 2018 NULL
691 Uacc Marah 2013 9489091
692 Chem Neon 2018 9815264
693 Blue Arrow 2012 9630444
694 Xt Sea Lion 2025 1042378
695 Navig8 Universe 2013 9489106
696 Sunny Orion 2010 9511143
697 Stolt Betula 2003 9266267
698 Stolt Suisen 1998 9156577
699 Bow Spring 2004 9215256
700 Bow Cardinal 1997 9114244
701 Bow Platinum 2018 9777383
702 Mtm Hudson 2004 9278064
703 Chem Cobalt 2016 9740770
704 Eva Bergen 2018 9800013
705 Latana 2000 9186352
706 Eastern Prosperity 2008 9383998
707 Bellis Theresa 2000 9192375
708 Chem Singapore 2015 9705768
709 Floyen 2016 9749790
710 Kaimon Galaxy 2012 9552472
711 Sunny Orion 2010 9511143
712 Chemstar River 2017 9758026
713 Fairchem Loyalty 2019 9791183
714 Nave Cosmos 2010 9457024
715 Bomar Lynx 2003 9043093
716 Bow Fagus 1995 9047764
717 Stolt Osprey 1998 9147461
718 Bunga Lavender 2010 9542130
719 Lauren 2002 9266229
720 Tiger Harmony 2016 9725859
721 Fairchem Hawk 2019 9804813
722 Sandro 2017 9390525
723 Bow Odyssey 2020 9818539
724 Horin Trader 2015 9724051
725 Bow Caroline 2009 9367554
726 Chem Gallium 2017 9740782
727 Ginga Kite 2001 9228291
728 Summer Ploeg 2017 9790464
729 Wawasan Ruby 2010 9477517
730 Menuett 2019 9790634
731 Acadia Park 2018 9780548
732 Sun Neptune 2007 9363807
733 Marigold 2000 9221669
734 Chemroad Haya 2004 9303649
735 Ginga Bobcat 2010 9472737
736 Key Wind 1999 9148960
737 Uacc Riyadh 2011 9458834
738 Bochem Bayard 2017 9749025
739 Bow Titanium 2018 9777395
740 Ebony Ray 2008 9363857
741 Stolt Viking 2001 9196711
742 Mtm Westport 2005 9317858
743 Mtm Key West 2020 9790672
744 Navig8 Aquamarine 2015 9711573
745 Chem Amsterdam 2013 9640138
746 Fairchem Honor 2019 9860207
747 Stolt Sincerity 2016 9680085
748 Woojin Chemi 2003 9272814
749 Sichem Mumbai 2006 9322085
750 Pacific Sapphire 2008 9508158
751 Jbu Onyx 2008 9392999
752 Southern Wolf 2019 9867267
753 Stolt Calluna 2017 9744893
754 Bow Sky 2005 9215268
755 Chem Polaris 2008 9416044
756 Southern Condor 2007 9441659
757 Golden Sagittarius 2019 9867073
758 Chemroad Sakura 2018 9757967
759 Navig8 Alabaster 2015 9727572
760 Prabhu Parvati 2008 NULL
761 Sun Edelweiss 2018 9570589
762 Fairchem Aldebaran 2017 9552666
763 Stolt Capability 1998 9102124
764 Straum 2010 9406726
765 Cypress Galaxy 2007 9379973
766 Stolt Vanguard 2004 9274305
767 Mtm Antwerp 2004 9291456
768 Diva 2017 9760548
769 Bow Fuling 2012 9504190
770 Navig8 Amessi 2015 9719745
771 Stolt Sequoia 2003 9235062
772 Golden Dream 2002 9255971
773 Bochem Luxembourg 2015 9737565
774 Stolt Sagaland 2008 9352200
775 Harmonics 2019 9799680
776 Alessandro Dp 2007 9384162
777 Battersea Park 2002 9255983
778 Gallop 2019 9799678
779 Kiso 2008 9379894
780 Chemroad Wing 2005 9309502
781 Sc Citrine 2025 9989027
782 Vari Trader 2018 9800025
783 Bow Aquarius 2016 9753791
784 Fairchem Charger 2009 9367401
785 Elm Galaxy 2006 9331256
786 Stolt Auk 2001 9164108
787 Beech Galaxy 2007 9340441
788 Lilac Ray 2020 9883481
789 Fairchem Mako 2018 9826574
790 Argent Iris 2011 9459280
791 Celsius Birdie 2009 9423724
792 Golden Altair 2016 9792163
793 Celsius Mexico 2008 9408798
794 Woojin Frank 2005 9317262
795 Birdie Trader 2016 9724099
796 Liberty 2009 9423542

43
Reference Data/python_project/loaders/backup/Customer_Stock_Locations.csv Normal file
View File

@@ -0,0 +1,43 @@
name,type,lat,lon
Adelaide,customer,0,0
BAHODOPI-POSO,customer,0,0
Bandirma,customer,40.369697136983,27.9607200622559
Bangkok,customer,13.75398,100.50144
Barquito,customer,-26.35,-70.65
Beaumont,customer,30.077338673234,-94.0840816497804
Budge Budge,customer,22.47514,88.17767
Fangcheng,customer,21.6140258994842,108.322792053223
Gladstone,customer,-23.81603,151.26279
Go Dau,customer,15.9742225,105.806431
Gresik,customer,-7.14994933032079,112.60986328125
Hai Phong,customer,20.86774,106.69179
Hibi,customer,34.39572,133.78713
Huelva,customer,37.26638,-6.94004
Isabel,customer,6.70748678037316,121.965022087097
Japan,customer,37.3002752813444,138.515625
Jorf Lasfar,customer,-18.7771925,46.854328
Kakinada,customer,16.9957254352666,82.4434661865236
Kandla,customer,22.80078,69.70705
Kemaman,customer,4.23333,103.45
LHOKSEUMAWE,customer,0,0
Limas,customer,40.7389332411361,29.6246337890626
Map Ta Phut,customer,12.648713210033,101.143569946289
Mejillones,customer,-22.8215665806022,-70.5869030289666
Naoshima,customer,34.4612772884371,134.009170532227
New Mangalore,customer,0,0
New Orleans,customer,29.95465,-90.07507
Onahama,customer,36.9268411923102,140.907897949219
Onsan,customer,35.4601106672107,129.37671661377
Paradip,customer,20.2644516477765,86.7077064514162
Pori,customer,61.6450645681561,21.3828277587891
Port Hedland,customer,0,0
Ras Al Khair,customer,0,0
Rio Grande,customer,-32.082574559546,-52.0916748046876
Saganoseki,customer,33.2411282959313,131.885418891907
Samut Prakan,customer,13.5051524908849,100.599746704102
San Juan,customer,18.46633,-66.10572
Stockton,customer,37.9527255601159,-121.316356658936
Tampa,customer,27.897652653541,-82.4285316467287
Tema,customer,-0.828097,11.598909
Tuticorin,customer,8.75436,78.20429
Visakhapatnam,customer,17.4764321971955,83.5180664062501
1 name type lat lon
2 Adelaide customer 0 0
3 BAHODOPI-POSO customer 0 0
4 Bandirma customer 40.369697136983 27.9607200622559
5 Bangkok customer 13.75398 100.50144
6 Barquito customer -26.35 -70.65
7 Beaumont customer 30.077338673234 -94.0840816497804
8 Budge Budge customer 22.47514 88.17767
9 Fangcheng customer 21.6140258994842 108.322792053223
10 Gladstone customer -23.81603 151.26279
11 Go Dau customer 15.9742225 105.806431
12 Gresik customer -7.14994933032079 112.60986328125
13 Hai Phong customer 20.86774 106.69179
14 Hibi customer 34.39572 133.78713
15 Huelva customer 37.26638 -6.94004
16 Isabel customer 6.70748678037316 121.965022087097
17 Japan customer 37.3002752813444 138.515625
18 Jorf Lasfar customer -18.7771925 46.854328
19 Kakinada customer 16.9957254352666 82.4434661865236
20 Kandla customer 22.80078 69.70705
21 Kemaman customer 4.23333 103.45
22 LHOKSEUMAWE customer 0 0
23 Limas customer 40.7389332411361 29.6246337890626
24 Map Ta Phut customer 12.648713210033 101.143569946289
25 Mejillones customer -22.8215665806022 -70.5869030289666
26 Naoshima customer 34.4612772884371 134.009170532227
27 New Mangalore customer 0 0
28 New Orleans customer 29.95465 -90.07507
29 Onahama customer 36.9268411923102 140.907897949219
30 Onsan customer 35.4601106672107 129.37671661377
31 Paradip customer 20.2644516477765 86.7077064514162
32 Pori customer 61.6450645681561 21.3828277587891
33 Port Hedland customer 0 0
34 Ras Al Khair customer 0 0
35 Rio Grande customer -32.082574559546 -52.0916748046876
36 Saganoseki customer 33.2411282959313 131.885418891907
37 Samut Prakan customer 13.5051524908849 100.599746704102
38 San Juan customer 18.46633 -66.10572
39 Stockton customer 37.9527255601159 -121.316356658936
40 Tampa customer 27.897652653541 -82.4285316467287
41 Tema customer -0.828097 11.598909
42 Tuticorin customer 8.75436 78.20429
43 Visakhapatnam customer 17.4764321971955 83.5180664062501

17
Reference Data/python_project/loaders/backup/Employees.csv Normal file
View File

@@ -0,0 +1,17 @@
name,code
Laura Girardot,EMP1
Jean-Francois Muse,EMP2
ShiHan Tay,EMP3
Max Baiwir,EMP4
Rodrigue Thomas,EMP5
Angela Arbenz,EMP6
Javier Miraba,EMP7
Stephane Monnard,EMP8
Oliver Gysler,EMP9
Mario Isely,EMP10
Gregory Gondeau,EMP11
Sylviane Dubuis,EMP12
Steve Zaccarini,EMP13
Smult Kouane,EMP14
David Susanto,EMP15
Jeremie Collot,EMP16
1 name code
2 Laura Girardot EMP1
3 Jean-Francois Muse EMP2
4 ShiHan Tay EMP3
5 Max Baiwir EMP4
6 Rodrigue Thomas EMP5
7 Angela Arbenz EMP6
8 Javier Miraba EMP7
9 Stephane Monnard EMP8
10 Oliver Gysler EMP9
11 Mario Isely EMP10
12 Gregory Gondeau EMP11
13 Sylviane Dubuis EMP12
14 Steve Zaccarini EMP13
15 Smult Kouane EMP14
16 David Susanto EMP15
17 Jeremie Collot EMP16

372
Reference Data/python_project/loaders/backup/Parties.csv Normal file
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@@ -0,0 +1,372 @@
name,tax_identifier,vat_code,address_name,street,city,zip,country_code,subdivision_code
"HEUNG-A SHIPPING CO., LTD.",,,,"3F, HEUNG-A BLDG, 21, SAEMAL-RO 5-GIL, SONGPA-GU",Seoul,0,KR,
SUMITOMO CORPORATION TOKYO,,,,"INORGANIC CHEMICALS TEAM, INORGANIC AND PERFORMANCE CHEMICALS DEPT. 3-2, OTEMACHI 2-CHROME, CHIYODA-KU",Tokyo,100-8601,JP,
TRANSAMMONIA AG,,,,"PRIME TOWER, HARDSTRASSE 201, 8005 ZURICH, SWITZERLAND",Zurich,8005,CH,
AMEROPA,,,,"ONE TEMASEK AVENUE, MILLENIA TOWER HEX 31-02",Singapore,039192,SG,
NISSHIN SHIPPING CO. LTD,,,,,Monaco,0,MC,
KORINDO PELAYARAN PT,,,,"12th Floor, Wisma Korindo, Jalan Letjen MT Haryono 62, Kel Pancoran",Jakarta,NULL,ID,
PARANAPANEMA S/A (C),,,,"VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA, BAHIA, BRAZIL",Bahia,CEP 42850-00,BR,
AZTEC MARINE LTD,,,,,Monaco,NULL,MC,
MALAYSIAN PHOSPHATE ADDITIVES SB.,,,,"SUITE 609, LEVEL 6, BLOCK F, PHILEO DAMANSARA 1, N° 9, JALAN 16/11, 46350 PETALING JAYA, SELANGOR DE",Petaling Jaya,46350,MY,
BSI INSPEC. SPAIN (BUREAU VERITAS),,,,,Monaco,NULL,MC,
MH PROGRESS LINE S.A.,,,,,Monaco,0,MC,
NAVIERA PETRAL SA,,,,"Oficina 102, Calle Alcanflores 393, Miraflores",Lima,15074,PE,
NAVIG8 LIMITED,,,,,Monaco,0,MC,
INTEROCEANIC (C),,,,7 RENAISSANCE SQUARE 7TH FLOOR,New York,10601,US,
LYNX SHIPPING PTE. LTD,,,,"16 Raffles Quay #41-02, Hong Leong Building, Singapore ",,048581,SG,
ABO SINGAPORE PTE LTD,,,,,Monaco,0,MC,
FERTIPAR FERTILIZANTES,,,,"RUA COMENDADOR CORREA JUNIOR, 1178, BAIRRO 29 DE JULHO, CEP 83.203-762 PARANAGUA, PR BRASIL",Paranagua,CEP 83.203-762,BR,
NATIONAL CHEMICAL CARRIERS LTD,,,,,Monaco,0,MC,
BALLANCE AGRI-NUTRIENTS,,,,"HEWLETT'S ROAD, MOUNT MAUNGANUI, NEW ZEALAND",Mount Maunganui,NULL,NZ,
JX OCEAN CO. LTD,,,,"THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU",Yokohama,220-8148,JP,
SUKSES OSEAN KHATULISTIWA LINE,,,,"Blok J, Jalan Mangga Dua Dalam 5&8, Jakarta Pusat",Jakarta,10730,ID,
PARADEEP PHOSPHATES LIMITED,,,,"BAYAN BHAWAN, PANDIT J. N. MARG, BHUBANESWAR 751001, ORISSA, INDIA",Orissa,751001,IN,
NEW EAGLE SHIPPING S.A.,,,,,Monaco,0,MC,
KGHM POLSKA MIEDZ S.A.,,,,"UL. M. SKLODOWSKIEJ-CURIE 48, 59-301 LUBIN, POLAND",Lubin,59-301,PL,
SUMITOMO CORPORATION - TOHO,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
INTERTEK CALEB BRETT INDIA,,,,,Monaco,0,MC,
PTT ASAHI CHEMICAL CO. LTD.,,,,"8 PHANGMUANG CHAPOH 3-1 ROAD, HUAYPONG SUB-DISTRICT, MUANG DISTRICT, RAYONG 21150, THAILAND",Rayong,21150,TH,
NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO. LTD.,,,,"NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO., LTD, Shuanglong road in Nanjing city of Jiangning Development Zone No 1700, 7th floor, A block, P.R. China China. ",,NULL,CN,
BOLIDEN HARJAVALTA OY,,,,TEOLLISUUSKATU 1,Harjavalta,29200,FI,
TEAM TANKERS INTERNATIONAL LTD.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION INDONESIA (SSRI),,,,Jl. Jend. Sudirman Kav. 61-62,Jakarta,12190,ID,
P&F MARINE CO LTD,,,,,Monaco,0,MC,
LA POSTE,,,,"WANKDORFALLEE 4, 3030 BERNE, SWITZERLAND",Bern,3030,CH,
AURUBIS AG,,,,HOVESTRASSE 50,Hamburg,20539,DE,
ERSHIP SAU,,,,CALLE MARINA 26,Huelva,21001,ES,
"KAWASAKI KISEN KAISHA, LTD.",,,,,Monaco,0,MC,
SUMITOMO CORPORATION - MMC,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
UBE CHEMICALS ASIA PCL (Ex TCL),,,,"18TH FLOOR, SATHORN SQUARE OFFICE TOWER, N° 98 NORTH SATHORN ROAD, SILON SUB-DISTRICT, BANGKOK 10500, THAILAND",Bangkok,10500,TH,
KOREA ZINC COMPANY LTD,,,,"ONSAN COMPLEX, 505 DAEJONG-RI, ONSAN-EUP, ULJU-GUN ULSAN, KOREA",Ulsan,NULL,KR,
MTM TRADING LLC OF MARSHALL ISLANDS,,,,"2960 POST ROAD, CU",Southport,06890,US,
"HOPECHEM CO., LTD (S)",,,,"ROOM 302, NO.233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT,",Shenzhen,518114,CN,
CS MARINE CO LTD,,,,,Monaco,0,MC,
"HAFNIA POOLS PTE LTD ",,,,"18-01, MapleTree Business City, 10, Pasir Panjang Road, Singapore 117438",,117438,SG,
SAEHAN MARINE CO LTD. (ULSAN),,,,"502, KYONG DONG E&S #304 JANGSENGPO-DONG, NAM-KU, ULSAN 44780, KOREA",Ulsan,44780,KR,
CIBRAFERTIL COMP. BRASILIERA DE FERTILIZANTES,,,,"#19-01 SUNTEC TOWER THREE,",Camacari,42810-290,BR,
FAIRFIELD CHEMICAL CARRIERS BV,,,,"8 TEMASEK BOULEVARD, #19-01 SUNTEC TOWER THREE,",Singapore,038988,SG,
"ASHAPURA PERFOCLAY LTS. ",,,,"JEEVAN ADYOG BUILDING, 3RD FLOOR, 278 D. N. ROAD, FORT, MUMBAI 400 001",Mumbai,400 001,IN,
TATA CHEMICALS LIMITED,,,,"DURGACHAK, HALDIA, WEST BENGAL 721 602, INDIA",West Bengal,721 602,IN,
DOE RUN PERU S.R.L.,,,,"#14-04 SOUTHPOINT,",Lima,27,PE,
INTEROCEANIC (S),,,,7 RENAISSANCE SQUARE 7TH FLOOR,New York,10601,US,
"SAEHAN MARINE CO., LTD",,,,,Monaco,NULL,MC,
MAROC-PHOSPHORE S.A.,,,,"2, RUE AL ABTAL, HAY ERRAHA, 20200 CASABLANCA, MOROCCO",Casablanca,20200,MA,
ACE SULFERT (LIANYUNGANG) CO. LTD,,,,,Monaco,NULL,MC,
INCHCAPE SHIPPING SERVICES,,,,,Monaco,0,MC,
AONO MARINE CO LTD,,,,"1-1-17, SHINDEN-CHO",Niihama,792-0003,JP,
BANDIRMA GÜBRE FABRIKALARI A.S. (S),,,,SUSAM SOK. NO:22,Cihangir-Istanbul,34433,TR,
HEXAGON GROUP AG,,,,Bleicherweg 33,Zurich,8002,CH,
INNOPHOS,,,,"DOMICILIO CONOCIDO SN, S.T., PAJARITOS, CP 96384, COATZACOALCOS, VER. MEXICO",Coatzacoalcos,CP 96384,MX,
TODA KISEN KK,,,,,,NULL,MC,
FARMHANNONG,,,,"#523 Maeam-dong Nam-ku, Ulsan 680-050 South Korea",Ulsan,680-050,KR,
"AGROINDUSTRIAS DEL BALSAS ",,,,"ISLA DE EN MEDIO SIN NUMERO, INTERIOR RECINTO PORTUARIO, LAZARO CARDENAS, MICH. MEXICO",Mexico City,NULL,MX,
"A.R. SULPHONATES PVT. LIMITED ",,,,"21, PRINCEP STREET, KOLKATA 700072, INDIA",Kolkata,700072,IN,
WINA TECHNOLOGIES,,,,"9 KOFI PORTUPHY STREET, WESTLANDS, WEST LEGON, ACCRA, GHANA",Accra,0,GH,
ARTHUR J. GALLAGHER (UK) LTD,,,,,Monaco,NULL,MC,
STOLT TANKERS B.V.,,,,"460 ALEXANDRA ROAD, # 10-01 PSA BUILDING",Singapore,119963,SG,
SAS International LLC,,,,"26865 Interstate 45 South - Suite 200 The Woodlands,",,TX 77380,US,
TUFTON OCEANIC LTD.,,,,,Monaco,0,MC,
"D3 CHEMIE ",,,,,Monaco,NULL,MC,
Interacid Trading SA (accounting),,,,En Budron H14,Le Mont-sur-Lausanne,CH-1052,CH,
"SHANGHAI DINGHENG SHIPPING CO.,LTD.",,,,,Monaco,0,MC,
MCC RAMU NICO LTD,,,,"PO BOX 1229, MADANG SECTION 95, LOT 18-19, MODILON RD PAPUA, NEW GUINEA",Modilon RD Papua,0,PG,
FERTIMAC,,,,"AV. PLINIO BRASIL MILANO, 289 CONJ. 301, PORTO ALEGRE - RS - BRASIL, CNPJ : 92194026/0001-36",Porto Alegre,0,BR,
THE PHOSPHATE CO. LTD. .,,,,"14, NETAJI SUBHAS ROAD, KOLKATA 700001, INDIA",Kolkata,700001,IN,
CORP. NACIONAL DEL COBRE,,,,HUÉRFANOS 1270,Santiago,8320000,CL,
"KIMYA MARKET SANAYI.TIC.LTD.STI. ",,,,600 Evler Mah.Balıkesir Asfaltı Sağ Taraf No:72 BANDIRMA BALIKESIR Bandırma Tax Office,Bandirma,NULL,TR,
Marsh / Navigators Insurance Company,,,,1 Penn PLZ FL 55,New York,10119-5500,US,
DE POLI TANKERS BV,,,,TRONDHEIM 20,Barendrecht,2993LE,NL,
"SUNWOO SHIPPING CO., LTD.",,,,"KEB HANA BANK, MAPO-YEOK BRANCH 041-68 52, MAPO-DAERO, MAPO-GU, SEOUL, SOUTH KOREA ACCOUNT NO. 176-910020-20638 SWIFT : KOEXKRSE IN FAVOUR OF SUNWOO SHIPPING CO., LTD. ",Seoul,NULL,KR,
NYRSTAR PORT PIRIE PTY LTD.,,,,HOOFDSTRAAT 1,DORPLEIN,6024 AA BUDEL,NL,
INSPECTORATE (SUISSE) SA,,,,,Monaco,0,MC,
GANSU YONGQI INDUSTRY AND TRADE. CO. (C),,,,"NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, JINCHANG CITY, GANSU PROVINCE, CHINA",Gansu Province,0,CN,
"ASOCIACION DE COOPERATIVAS ARGENTINAS COOP. ",,,,"AV. EDUARDO MADERO 942, 4° - 5° - 6° - 7° PISO/FLOOR, (1106) BUENOS AIRES - ARGENTINA, C.U.I.T. 30-50012088-2",Buenos Aires,1106,AR,
DM SHIPPING CO LTD,,,,,Monaco,0,MC,
SUMITOMO CORPORATION - PPC,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
FILHET - ALLARD MARITIME,,,,,Monaco,0,MC,
IPSL / PEQUIVEN,,,,,Monaco,0,MC,
VENUS SHIPPING CO LTD,,,,"1830, Lotte Gold Rose2Cha 890-59 Daechi 4-sa-dong Gangnam-gu",Seoul,NULL,KR,
"TOHO ZINC CO., LTD.",,,,"8-2,MARUNOUCHI 1-CHOME,CHIYODA-KU,",Tokyo,100-8207,JP,
"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",,,,"8F., NO 88, SEC. 2, NANJING E. RD, ZHONGSHAN DIST., ",Taipei,10457,TW,
INDEVCO TRADING,,,,"35 AMBER ROAD #09-14, THE SEA VIEW, SINGAPORE 439945",Singapore,439945,SG,
"GREATHORSE INTERNATIONAL SHIP MANAGEMENT CO., LTD.",,,,,Monaco,0,MC,
JINCHUAN,,,,"JINCHUAN INDUSTRIAL PARK, QISHA INDUSTRIAL ZONE, GANGKOU DISTRICT, FANGCHENGGANG CITY GUANGXI PROVINCE",Fangchenggang City,538002,CN,
MC FOR LLC,,,," Room 4, Premise 8N, prospekt Nevskiy 20A, St Petersburg, 191186, Russia.",Saint Petersburg,191186,RU,
GRUPO MEXICO,,,,"EDIFICIO PARQUE REFORMA CAMPOS ELISEOS NO. 400, LOMAS DE CHAPULTEPEC",Mexico City,11000,MX,
UBS SWITZERLAND AG,,,,Rue des Noirettes 35 PO Box 2600,Geneva,1211,CH,
WLR/TRF SHIPPING LTD.,,,,,Monaco,0,MC,
TRANSMARINE NAVIGATION CORPORATION,,,,2321 W WASHINGTON ST # K,Stockton,95203,US,
NATIONAL CHEMICAL CARRIERS LTD. CO.,,,,"9/F, ONE JLT, JUMEIRAH LAKE TOWERS",Dubai,,AE,
SORIN CORPORATION,,,,"YOUNG-POONG BLDG, 542, GANGNAM-DAERO, GANGNAM-GU",Seoul,06110,KR,
"JX METALS SMELTING CO.,LTD.",,,,"1-2 OHTEMACHI 1-CHOME, CHIYODA-KU,",Tokyo,100-0004,JP,
CHENGTAI GROUP PTE LTD,,,,TBD,,NULL,CN,
FERFERMEX S.A.,,,,"PREDIO ENCINO GORDO S/N, C.P. 96340",Veracruz,96340,MX,
"SHOKUYU NAVIGATION CO.,SA",,,,,,NULL,MA,
BERLIAN LAJU TANKER TBK PT,,,,"Jalan Abdul Mu'is 40, Kec Gambir",Jakarta,10160,ID,
"INTERACID NORTH AMERICA, INC (Stockton)",,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
META NICKEL,,,,"CEYHUN ATIF KANSU CADDESI 114 BAYRAKTAR CENTER, D BLOK 1. KAT DAIRE NO: 1-",Ankara,2,TR,
OTAMAY SHIPPING INC.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
NEW WAY VYAPAAR PVT LTD,,,,"249/B, G.T. ROAD (NORTH), LILUAH, FIRST FLOOR, ROOM N° 17, HOWRAH 711 204, WB INDIA",Howrah,711 204,IN,
SGS NORTH AMERICA INC.,,,,,Tampa,NULL,US,
KOYO KAIUN ASIA PTE. LTD,,,,,Monaco,0,MC,
KUTCH CHEMICAL INDUSTRIES LTD,,,,"20-21, SARA NIWAS, HARI NAGAR, GOTRI ROAD, GUJARAT",Vadodara,390 007,IN,
FAIRFIELD CHEMICAL CARRIERS INC,,,,"21 RIVER ROAD,2ND FLOOR, CU",Wilton,06897,US,
EGRAIN AG,,,,HESSENSTRASSE 18,Hofheim,65719,DE,
CHEMBULK OCEAN TRANSPORT LLC,,,,"THE DELAMAR 175 RENNELL DRIVE , CU",Southport,06890,US,
FEFERMEX SA DE CV,,,,"PREDIO ENCINO GORDO S/N, COSOLEACAQUE, VERACRUZ, CP 96340, MEXICO",Veracruz,CP 96340,MX,
SOUTHERN PERU COPPER CORP,,,,"AVENIDA, CAMINOS DEL LNCA 171, CHACARILLA DEL ESTANQUE, SURCO",Lima,33,PE,
K.N.D. LINE S.A.,,,,,Monaco,0,MC,
JUPITER DYECHEM PVT LTD.,,,,"MITTAL COURT, A WING, OFFICE N° 92 & 93, 9TH FLOOR, NARIMAN POINT, MUMBAI 400 021, BRANCH OFFICE 138/2 VANMALA COMPOUND, VALEGAON, KHANDAGALE ESTATE, PURNA, BHIWANDI, DISTRICT THANE",Mumbai,400-021,IN,
TIMAC AGRO INDUSTRIA BRASIL,,,,"AV. ALMIRANTE MAXIMIANO FONSECA 1550 KM 02, DIST. INDUSTRIAL 96204-040, RIO GRANDE, RS, BRASIL",Rio Grande,96204-040,BR,
SATCO SULPHURIC ACID,,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
YAOKI SHIPPING S.A.,,,,,,NULL,MC,
"HOPECHEM CO., LTD. (AGENT)",,,,"ROOM 302, N° 233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, SHENZHEN, P. R. CHINA 518114",Shenzhen,518114,CN,
CONS. DOMINICAN REPUBLIC,,,,,Monaco,NULL,MC,
BUNGE ARGENTINA S.A.,,,,"25 DE MAYO 501, 4TH FLOOR, C1002ABK BUENOS AIRES, ARGENTINA",Buenos Aires,C1002ABK,AR,
PISCES LINE SHIPPING S.A.,,,,,Monaco,0,MC,
TONGLING NONFERROUS METALS GROUP CO. LTD,,,,"Room 308, 3rd Floor, Nonferrous Courtyard Business Building, Changjiang West Road, Tongling, Anhui Province",Tongling,24400,CN,
NAVQUIM SHIP MANAGEMENT,,,," 10th Floor, Tower C, Weena 242,",Rotterdam,3012 NJ,NL,
ETI BAKIR A.S.,,,,"ALTUNIZADE, KISIKLI CD. NO:37",Üsküdar-Istanbul,34662,TR,
NEW SEAGULL SHIPPING S.A.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD - SUNTAI,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
"Asahi Tanker Co.,Ltd",,,,"Hibiya-Daibiru 3F 2-2, Uchisaiwaicho 1-Chome, Chiyoda-Ku",Tokyo,100-0011,JP,
SGS ITALIA S.R.L.,,,,,Monaco,0,MC,
"TATSUMI MARINE CO., LTD",,,,"TATSUMI BLDG. 3RD FLOOR 3-8-7, ITABASHI, CHIYODA-KU, TOYKO 102-0072",Tokyo,102-0072,JP,
S5 ASIA LIMITED (THAILAND),,,,"21ST FLOOR, TIMES SQUARE BUILDING, 246 SUKHUMVIT ROAD, KLONGTOEY",Bangkok,10110,TH,
OCEAN STAR,,,,,Monaco,0,MC,
HICRI ERCILI DENIZCILIK AS,,,,"Balikesir Asfalti Sag Taraf Caddesi, 72, 600 Evler Mah",Bandirma,10200,TR,
SUMITOMO CORPORATION ASIA,,,,"KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297",Kuala Lumpur,50710,MY,
YARA SWITZERLAND,,,,"ROUTE DU FLORISSANT 13, 1206 GENEVA, SWITZERLAND",Geneva,1206,CH,
NEW GLORY SHIPPING S.A.,,,,,Monaco,0,MC,
UNI-TANKERS A/S,,,,Turbinevej 10,Middelfart,5500,DK,
SACONIX LLC,,,,"560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA",Rosswell,GA 30075,US,
"PAN PACIFIC COPPER CO., LTD.",,,,"1-2 OHTEMACHI 1-CHOME, CHIYODA-KU,",Tokyo,100-8147,JP,
ZODIAC MARITIME LIMITED OF LONDON,,,,"PORTMAN HOUSE, 2 PORTMAN STREET",London,W1H 6DU,GB,
UTKILEN A.S.,,,,,Monaco,0,MC,
ULTRATANK,,,,,Monaco,0,MC,
"TIANJIN JIAHENGYUAN INTL TRADE CO.,LTD",,,,Monaco,,NULL,CN,
DUKSAN P&V CO LTD,,,,"2nd Floor, Dongailbo Building, 87, Jungang-daero, Jung-gu",Busan,48929,KR,
GOLDEN MERCURY MARITIME S.A.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION THAILAND LTD.,,,,"20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN",Bangkok,10330,TH,
SUMITOMO CORPORATION INDIA PVT LTD,,,,"OFFICE N° 1, UNIT B, 5TH FLOOR S-14, SOLITAIRE CORPORATE PARK 167, GURU HARGOBINDJI ROAD, CHAKALA, ANDHERI (EAST)",Mumbai,400 093,IN,
YOUNG POONG CORPORATION,,,,"555, SUKPO-RI, SUKPO-MYUN, BONGHWA-GUN",Kyoungbuk,0,KR,
BTS TANKERS PTE LTD,,,,,Monaco,0,MC,
STELLA TANKER PTE LTD,,,,10 ANSON ROAD # 23-03,Singapore,079903,SG,
GOLDEN DREAM MARITIME SA,,,,,Monaco,0,MC,
JAL KUMUD SHIPPING IFSC PVT,,,,"Unit GA-20, Ground Floor, Pragya Accelerator Savvy Ats Group, Gift City, Gandhinagar,",Gujarat,382355,IN,
MANGALORE CHEMICALS,,,,"UB TOWER, LEVEL 11, UB CITY, 24, VITTAL MALLYA ROAD, BENGALURU 560 001, INDIA",Bengaluru,560 001,IN,
TATSUMI SHOKAI CO. LTD (ONAHAMA),,,,"312, ONAHAMA AZATAKAYAMA",Iwaki City,0,JP,
CHEMSEA SHIPPING COMPANY LIMITED,,,,Rm 1510 Wing Tuck CommCtr 177-183 Wing Lok St Hong Kong,,NULL,HK,
JEIL INTL CO LTD,,,,"RM 301, 3F SAMJUNG ENTERPRISE B/D, 5, JUNGANG-DAERO 775 BEON-GIL, BUNSANJIN-GU",Busan,0,KR,
GLENCORE INTERNATIONAL AG,,,,"BAARERMATTSTRASSE 3, P.O. BOX 1363, 6341 BAAR, SWITZERLAND",Baar,6341,CH,
MOL NORDIC TANKERS A/S,,,,,Monaco,0,MC,
ESSEX SHIPPING,,,,"JUBILEE HOUSE, 3 THE DRIVE, GREAT WARLEY, BRENTWOOD ESSEX",Brentwood,CM13 3FR,GB,
BANDIRMA GÜBRE FABRIKALARI A.S (C ),,,,SUSAM SOK. NO:22,Cihangir-Istanbul,34433,TR,
SGS SWITZERLAND SA,,,,,Monaco,0,MC,
"TOROS AGRI INDUSTRY AND TRADE CO., INC. (S)",,,,"TEKFEN TOWER,4. LEVENT",Istanbul,34394,TR,
"WOOJIN SHIPPING CO.,LTD",,,,"KUNSHIN BLDG.NEW BLDGO #501, 16, SAMGAE-RO (250-4,DOHWA-DONG) MAPO-GU",Seoul,0,KR,
TRF SHIP MANAGEMENT AS,,,,,Monaco,0,MC,
AMERICAS EXPORT CORP.,,,,"P.O. BOX 3067, WEST PALM BEACH, FL 33402, FLORIDA, UNITED STATES",West Palm Beach,FL 33402,US,
QUANG BINH IMPORT AND EXPORT JOINT STOCK,,,,"N° 23, BLOCK 01, AREA 97 BACH DANG, HA LY, HONG BANG DISTRICT, HAI PHONG CITY, VIETNAM",Hai Phong,0,VN,
GROUPE CHIMIQUE TUNISIEN,,,,"7, RUE DU ROYAUME D'ARABIE-SAOUDITE, 1002 TUNIS BELVEDERE, TUNISIA",Tunis Belvedere,1002,TN,
PARANAPANEMA S/A. (S),,,,"VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA",Bahia,CEP 42850-00,BR,
NYRSTAR SALES & MARKETING AG,,,,TESSINERPLATZ 7,Zurich,8002,CH,
IPRUDENTIAL SHIPPING AGENCY SERVICES INC,,,,"4TH FLOOR, KALAYAAN BLDG, SALCEDO CORNER DELA ROSA ST., LEGASPI VILLAGE, MAKATI VILLAGE, PHILIPPINES 1229",Makati Village,1229,PH,
DAEHO SHIPPING CO LTD,,,,"Room 203(woolim bldg) 19, Daepyeong-ro 28beon-gil, Yeongdo-gu, Busan, Korea",,NULL,KR,
SIETEMAR SA,,,,,Monaco,0,MC,
WALLEM,,,,,Monaco,0,MC,
BACONCO J-V COMPANY,,,,,Monaco,NULL,MC,
"CORAL BAY NICKEL CORP. ",,,,"RIO TUBA EXPORT PROCESSING, ZONE RIO TUBA, BATARAZA, PALAWAN, PHILIPPINES 5306, TIN 005-961-540-00000",Palawan,5306,PH,
ROSSING URANIUM,,,,"PRIVATE BAG 5005, SWAKOPMUNG, NAMIBIA",Swakopmung,0,NA,
INCITEC LTD,,,,"LEVEL 8, 28 SOUTHBANK BOULEVARD, SOUTHBANK, VICTORIA 3006, AUSTRALIA",Victoria,3006,AU,
TBD Supplier,,,,TBD,Monaco,TBD,MC,
SATCO - Tampa Terminal,,,,,Tampa,NULL,US,
NORFALCO LLC,,,,"100 KING STREET WEST, SUITE 6900, PO BOX 403, TORONTO, ON",Toronto,M5X 1E3,CA,
INDIAN FARMERS FERTILIZER COOPERATIVE LTD,,,,"PARADEEP UNIT, VILLAGE MUSADIA, P. O. PARADEEP, JAGATSINGHPUR, ORISSA - 754142, INDIA, GST N° 21AAAAI0050M2Z6",Orissa,754142,IN,
SUMITOMO CORPORATION AFRICA (GHANA),,,,"SILVER STAR TOWER, 8TH FLOOR, AIRPORT CITY, 8TH FLOOR",Accra,0,GH,
SUMITOMO CORPORATION THAILAND,,,,"20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN",Bangkok,10330,TH,
ORION REEDEREI GMBH & CO KG,,,,,Monaco,0,MC,
SOCIEDAD CONTRACTUAL EL ABRA,,,,"CAMINO CONCHI VIEJO S/N, KM 75, CALAMA, CHILE",Calama,0,CL,
POLYSERVE,,,,"22 SYRIA ST., MOHANDESIEEN,",Giza,0,EG,
MT MARITIME MANAGEMENT USA LLC,,,,,Monaco,0,MC,
SUN METALS CORPORATION PTY LTD,,,,1 ZINC AVENUE STUART QLD,STUART,4811,AU,
"SINOTRANS DONGWAN WAREHOUSE LOGISTICS CO.,LTD.",,,,"ZHONGHUA RD, GANGKOU DISTRICT, FANGCHENGGANG",Guangxi,0,CN,
INTERNATIONAL COBALT CO,,,,"P.O. BOX N° 7539, E. BAY STREET, NASSAU, BAHAMAS",Nassau,0,BS,
GULF AGENCY COMPANY LIMITED,,,,,Monaco,0,MC,
NIPPON MARINE CO. LTD,,,,,Monaco,0,MC,
"Interacid Trading Chile ",,,,"Av. Isidora Goyenechea 3600, Of. 301",Santiago,NULL,CL,
DORVAL SC TANKERS INC.,,,,"3RD FL KDX MONZENNAKACHO BLDG, 1-14-1, BOTAN, KOTO-KU",Tokyo,NULL,JP,
Interacid Trading SA,,,,Av. des Baumettes 5,Renens,1020,CH,
BHP BILLITON,,,,"CERRO EL PLOMO 6000, 18TH FLOOR, LAS CONDES, SANTIAGO, CHILE",Santiago,NULL,CL,
ENEOS OCEAN CORPORATION,,,,"THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU",Yokohama,220-8148,JP,
SEATRANS MARINE PRIVATE LIMITED,,,,"ABIR KUNJ, 158 RAJDANGA NABAPALLY",Kolkata,700107,IN,
MAC SHIPPING MANAGEMENT PTE,,,,hk,Hong Kong,NULL,HK,
NEXA RESOURCES CAJAMARQUILLA S.A.,,,,"CAR. CENTRAL N° 9.5 CAJAMARQUILLA (CARR. CENTRAL KM 9.5 DESVIO A HUACHIPA), LIMA, LURIGANCHO",Lurigancho,0,PE,
SUMITOMO CORPORATION - ACIDS,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
OCEAN FAVOR SHIPPING (SHANGHAI) LTD,,,,"ROOM 517 A BUILDING 3 NO 2588, SOUTH LIANHUA ROAD MINHANG DISTRICT",Shanghai,0,CN,
FUJI LAVA MARITIME LTD,,,,,Monaco,0,MC,
"CENTRAL ROMANA CORP. LTD. ",,,,"C/O AMERICAS EXPORT COPR, P.O. BOX 3067, WEST PALM BEACH, FLORIDA 33401-3067",West Palm Beach,33401-3067,US,
THE BTTCO OVERSEAS,,,,"B-92, OM TOWERS, GHODA CAMP ROAD, SHAHIBAUG",Ahmedabad,380 004,IN,
BEYKIM DENIZCILIK GEMI,,,,"IC Kapi 142, Blok 2, Maslak A Blok, AOS 55 Sokak, Maslak Mah, 42, SariyeR",Istanbul,NULL,TR,
YARA BRAZIL,,,,"AV. ALMIRANTE MAXIMIANO FONSECA 2001, CEP 96204-040, RIO GRANDE, RS, BRASIL",Rio Grande,CEP 96204-040,BR,
SAEHAN MARINE CO LTD (BUSAN),,,,"12TH FLOOR, ANNJAY TOWER 208, TEHERAN-RO, GANGNAM-GU, SEOUL, 06220, KOREA",Seoul,6220,KR,
GOLDEN STENA BAYCREST TANKERS PTE LTD,,,,"108 PASIR PANJANG ROAD, #04-15 GOLDEN AGRI PLAZA",Singapore,118535,SG,
DUCGIANG CHEMICAL AND DETERGENT,,,,"TANG LOONG INDUSTRIAL ZONE, TANG LOONG, BAO THANG, LAO CAI, VIETNAM",Lao Cai,NULL,VN,
VISIONCHEM,,,,"#1515 SAMKOO BUILDING, 40 CHEONGPA-RO, YONGSAN-GU",Seoul,4373,KR,
"Shandong Xiangying Chemical Import and Export CO.,LTD.",,,,"715, Tower A, world trade center, Yantai, Handong province,",,NULL,CN,
SUMITOMO MYANMAR,,,,"#208~213, 2ND FLOOR, PRIME HILL BUSINESS SQUARE, NO.60 SHWE DAGON PAGODA ROAD, DAGON TOWNSHIP",Yangon,0,MM,
WILSON INTERNATIONAL TRADING PRIVATE LTD,,,,"8 Temasek Boulevard 17-02/03 Suntec Tower 3 ",Singapore,038988,SG,
PANOLI INTERMEDIATES (INDIA) PVT. LTD.,,,,"'Sara Niwas', 20-21, Harinagar Co.Op. Society, Gotri Road",Vadodara,39007,IN,
DHL EXPESS,,,,,Monaco,NULL,MC,
"HIBI KYODO SMELTING CO.,LTD.",,,,"1-11-1 OSAKI , SHINAGAWA-KU",Tokyo,141-8584,JP,
STERLITE INDUSTRIES,,,,"SIPCOT INDUSTRIAL COMPLEX, MADURAI BYPASS ROAD, THOOTHUKUDI (TAMIL NADU)",Tuticorin,628002,IN,
TAIHEI KAIUN KK,,,,,Monaco,0,MC,
PT QMB NEW ENERGY MATERIALS,,,,"Sopo Del Office Tower Lantai 22, Unit A, Jalan Mega Kuningan Barat III Lot 10.1-6 Kawasan Mega Kuningan, Kota Adm. Jakarta Selatan, Provinsi DKI Jakarta, Kode Pos: 12950, Indonesia",Jakarta,12950,ID,
GLENCORE HOLDING AG,,,,"BAARERMATTSTRASSE 3, P.O. BOX 1363",Baar,6340,CH,
"SHANGHAI SUMITOMO CORPORATION CO.,LTD.",,,,"10F, SHANGHAI WORLD FINANCIAL CENTER, 100 CENTURY AVENUE, PUDONG NEW AREA",Shanghai,200120,CN,
"INEOS SULPHUR CHEMICALS SPAIN, S.L.U.",,,,"DIQUE DE ZIERBENA, MUELLE AZ-1",Zierbena-Bizkaia,48508,ES,
CIECH S.A,,,,UL. WSPOLNA,Warsaw,00-684,PL,
SUMITOMO AUSTRALIA,,,,"LEVEL 21, 101 COLLINS STREET, MELBOURNE VIC 3000, AUSTRALIA",Melbourne,VIC 3000,AU,
GOLDEN JUPITER NAVIGATION S.A.,,,,,Monaco,0,MC,
"Agrifields DMCC, Dubai",,,,"3201, JBC4, Cluster N, Jumeirah Lake Towers",Dubai,NULL,AE,
"CVCI ",,,,"AVENUE D'OUCHY 47, 1006 LAUSANNE, SWITZERLAND",Lausanne,CH-1006,CH,
"PAN OCEAN CO., LTD",,,,"Tower 8, 7, Jong-ro 5-Gil, Jongro-Gu, Seoul, Korea (Rep of) Korea, Republic Of ",Seoul,NULL,KR,
SGS-CSTC STANDARDS TECNICAL SERVICES CO. LTD,,,,,Monaco,0,MC,
SINOCHEM INTERNATIONAL CORP.,,,,,Monaco,0,MC,
"INFICESS SHIPPING CO., LTD.",,,,,Monaco,0,MC,
SUMITOMO CORPORATION VIETNAM LLC (HA),,,,"9TH FLOOR, CORNERSTONE BLDG, 16 PHAN CHU TRINH STREET, HOAN, KIEM DISTRICT",Hanoi,0,VN,
SUMITOMO CORPORATION - NO OR LIMITED COMMISSION,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
SEASTAR MARITIME CO. LTD,,,,"Room 2112, Techno-Mart 21 Bldg, 85 Gwangnaru-Ro 56 Gil, Gwangjin-Gu",Seoul,NULL,KR,
NFC PUBLIC COMPANY LTD - MAHACHAI,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
INTERACID TRADING (CHILE) S.A.,,,,ISIDORA GOYENECHEA NR. 3600 - OFFICE 301 LAS CONDES,Santiago,,CL,
J.M. BAXI & CO,,,,"GODREJ COLISEUM, 8TH FLOOR, 801-C WING, EVERARD NAGAR, SION (EAST),",Mumbai,400022,IN,
KONA MARITIME S.A.,,,,,Monaco,0,MC,
NewChem Consulting AG,,,,Waldeggweg 6A 6318 Walchwil Switzerland,Walchwil,6318,CH,
TAGANITO HPAL NICKEL CORPORATION,,,,"TAGANITO SPECIAL ECONOMIC ZONE (TSEZ) BARANGAY TAGANITO, CLAVER, SURIGAO DEL NORTE, PHILIPPINES 8410",Surigao Del Norte,8410,PH,
KHANG TRUNG HIEU CO. LTD,,,,"N° 12/17, VO THI SAU STREET, QUYET THANG WARD, BIEN HOA CITY, DONG NAI PROVINCE, VIETNAM",Dong Nai Province,0,VN,
INFICESS SHIPPING CO. LTD.,,,,,Monaco,0,MC,
SRF LIMITED,,,,"D II/I, GIDC PCPIR, GIDC PHASE II, TAL VAGRA, VILLAGE DAHEJ, BHARUCH, GUJARAT 392130, INDIA",Gujarat,392130,IN,
FLYTE YANGON SA,,,,"23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este",Panama City,NULL,PA,
ASIA CHEMICAL TANKER ALLIANCE PTE LTD,,,,"6 Temasek Boulevard #44-01 Suntec Tower Four ",Singapore,038986,SG,
TATSUMI SHOKAI (NAOSHIMA/HIBI),,,,"TATSUMI SHOKAI BLDG 3FL 4-1-1, CHIKKO, MINATO-KU",Osaka,552-0021,JP,
COROMANDEL INTERNATIONAL LTD,,,,"COROMANDEL HOUSE, 1-2-10, SARDAR PATEL ROAD, SECUNDERABAD, 500003, INDIA",Secunderabad,50003,IN,
GLENCORE CHILE SPA,,,,"AV. COSTANERA SUR 2730 OF. 1701, PISO 17, LAS CONDES, SANTIAGO, CHILE",Santiago,0,CL,
NIPPON MARINE CO LTD,,,,966-15 OITA CITY,Saganoseki,879-2201,JP,
SGS ESPANOLA DE CONTROL,,,,,Monaco,0,MC,
LISBON SHIPPING LTD,,,,"Room 550, 5th Floor, Zonghe Lou, 385, Chaoyangshan Lu, Huangdao Qu, Qingdao",Qingdao,266400,CN,
FEDERAL EXPRESS (FEDEX/TNT),,,,,Monaco,NULL,MC,
SAI SULPHONATES PCT LTD,,,,"21, C. R. AVENUE, WHITE HOUSE, 2ND FLOOR, 700 072 KOLKATA, INDIA",Kolkata,700 072,IN,
MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,,,,"5 SHENTON WAY, #15-01",Singapore,068808,SG,
SONGA SHIPMANAGMENT LTD,,,,,Monaco,0,MC,
NORTON LILLY INTERNATIONAL,,,,433 CALIFORNIA ST,San Francisco,94104,US,
Xingtong Shipping (Singapore) Pte Ltd,,,,TEMASEK BOULEVARD #24-05 SUNTEC TOWER FOUR SINGAPORE Tel: +65 9298398 Email: chartering@xtshipping.com,Singapore,038986,SG,
GUJARAT FLUOROCHEMICALS LIMITED,,,,"ABS TOWERS, 2ND FLOOR, OLD PADRA ROAD, VADODARA 390007, GUJARAT, INDIA",Vadodara,390007,IN,
CELSIUS SHIPPING APS,,,,,Monaco,0,MC,
JEIL INTERNATIONAL CO. LTD.,,,,,Monaco,0,MC,
TIMAC AGRO IRELAND LIMITED,,,,"4 & 5, PRIORITY COURT THE QUAY, NEW ROSS, CO WEXFORD, IRELAND",Wexford,Y34 HV25,IE,
SUMITOMO CORPORATION ASIA & OCEANIA,,,,"35TH FLOOR UBN TOWER, 10 JALAN P RAMLEE",Kuala Lumpur,50250,MY,
"INTERACID NORTH AMERICA, INC (Beaumont)",,,,"560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA",Roswell,30075,US,
NFC PUBLIC COMPANY LTD - UCHA,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
NUOVA SOLMINE S.P.A.,,,,VIA NUOVA VIGNOLE 38,Serravalle Scrivia AL,15069,IT,
LUMUT VENTURE SDN BHD,,,,,Monaco,0,MC,
CONE SUL AGENCIA DE NAVEGACAO LTDA,,,,,Monaco,NULL,MC,
SUMITOMO CORPORATION (SHANGHAI) LTD,,,,"10F,Shanghai World Financial Center,100 Century Avenue, Pudong New Area, Shanghai ",Shanghai,NULL,CN,
MITSUBISHI MATERIALS CORPORATION METALS COMPANY,,,,"11F KEIDANRENKAIKAN, 1-3-2,OHTEMACHI,CHIYODA-KU",Tokyo,100-8117,JP,
CREDIT SUISSE (SWITZERLAND) SA,,,,1201 Geneva,Geneva,NULL,CH,
"INTERACID NORTH AMERICA, INC (Tampa)",,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL",Tampa,33610,US,
PT PUPUK ISKANDAR MUDA (PIM),,,,JL. MEDAN - BANDA ACEH PO BOX 21,,NULL,ID,
"FURUKAWA METALS & RESOURCES CO., LTD.",,,,"2-3 MARUNOUCHI, 2 - CHOME, CHIYODA-KU",Tokyo,0,JP,
"SUNWOO TANKER CO. LTD, KOREA",,,,"MI-WON BLDG ROOM 1702, 70 GUKJEGEUMYUNG-RO, YEONGDEUNGPO-GU",Seoul,NULL,KR,
SATCO SULPHURIC ACID WC,,,,"10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL ",Stockton,33610,US,
SUMITOMO CORPORATION VIETNAM LLC (HM),,,,"LANDMARK BUILDING, 6TH FLOOR, 5B TON DUC THANG, BEN NGHE WARD, DISTRICT 1,",Ho Chi Minh,0,VN,
ODFJELL TANKERS AS,,,,CONRAD MOHRS VEG 29,Bergen,5072,NO,
"SUMITOMO METAL MINING CO., LTD.",,,,"3-5-3, NISHIBARA-CHO, NIIHAMA",EHIME,792-8555,JP,
GANSU YONGQI INDUSTRY AND TRADE. CO. (S),,,,"NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, GANSU PROVINCE,",Jinchang City,0,CN,
UPS UNITED PARCEL SERVICE (SCHWEIZ) AG,,,,,Monaco,0,MC,
HANSA TANKERS AS OF BERGEN,,,,KALFARVEIEN 57A,Bergen,5022,NO,
SC SHIPPING SINGAPORE PTE LTD,,,,,Monaco,0,MC,
FOSPHORY SP Z.O.O,,,,IL. KUJAWSKA 2,Gdansk,80-550,PL,
VELOCITE SARL,,,,"RUE DR CESAR-ROUX 29, 1003 LAUSANNE, SWITZERLAND",Lausanne,1003,CH,
TACHIBANAYA CO. LTD.,,,,,Monaco,0,MC,
SUMITOMO CORPORATION TAIWAN LTD,,,,"SUMITOMO-FLYSUN BLDG. 8TH FL., NO. 260, TUN HWA N. ROAD",Taipei,NULL,TW,
TAIKO MARKETING SDN,,,,"B2-6-01, BLOK B2, MERITUS @ OASIS CORPORATE N° 2, JALAN PJU 1A/2, ARA DAMANSARA, 47301 PETALING JAYA, SELANGOR, MALAYSIA",Petaling Jaya,47301,MY,
"SAEHAN MARINE CO, LTD (MARINE)",,,,10 ANSON ROAD #26-02 INTERNATIONAL PLAZA,Singapore,79903,SG,
DILMAS CO LTD,,,,"ul Pogranichnaya 72, Nakhodka, Primorskiy kray, 692910, Russia.",Primorsk,692910,RU,
SAYBOLT POLAND SP. Z O.O.,,,,1 PODLASKA STR.,Gdynia,81-325,PL,
AKR SEA TRANSPORT PT,,,,"Lot 7, Wisma AKR, Jalan Panjang 5, Kec Kebon Jeruk",Jakarta,11530,ID,
NAVIG8 CHEMICAL POOLS INC.,,,,"3 TEMASEK AVENUE, #25-01 CENTINNIAL TOWER",Singapore,039190,SG,
RAETSMARINE INSURANCE B.V.,,,,,Monaco,0,MC,
AR SAVAGE AND SON,,,,"202 SOUTH ROME AVE, SUITE 200",Tampa,33606,US,
MARCOBRE S.A.C.,,,,"Giovanni Batista Lorenzo Bernini 149, Piso 3, Oficina 301, San Borja, Lima, Peru",Lima,NULL,PE,
LS-NIKKO COPPER INC.,,,,"15FI., (LS YONGSAN TOWER), 92, HANGANG-DAERO, YONSAN-GU",Seoul,4386,KR,
JLS MONKEY CO LTD,,,,"Workshop B, 3rd Floor, Manning Industrial Building, 116-118, How Ming Street, Kwun Tong, Kowloon",Hong Kong,NULL,CN,
SUMITOMO CORPORATION - FURUKAWA,,,,"3-2 OTEMACHI 2-CHOME, CHIYODA-KU",Tokyo,100-8601,JP,
CHEMMASTER TANKERS COMPANY LIMITED,,,,"Room 1510,wing Tuck Commerical Centre, 177-183 Wing Lok Street ",Hong Kong,NULL,HK,
BTM MUFG Bank Ltd,,,,"Ropemaker Place, 25 Ropemaker Street London EC2Y 9AN, United Kingdom",London,EC2Y 9AN,GB,
PT PETROKIMIA (PKG),,,,"JI. JEND. AHMAD YANI, GRESIK 61119",Gresik,61119,ID,
"Sulfuric Acid Trading Company , Inc (SATCO)",,,,3710 Corporex Park Drive - Suite 205,Tampa,NULL,US,
TWO LIONS ZHANGJIAGANG,,,,DONGHUA ROAD YANGTZE RIVER INTERNATIONAL CHEMICAL INDUSTRIAL PARK,Zhangjiagang,0,CN,
ACE TANKERS MANAGEMENT B.V.,,,,STRAWINSKYLAAN 1057,Amsterdam,STRAWINSKYLAAN 1057,NL,
PHILIPPINE ASSOCIATED SMELTING AND REFINING CORP.,,,,"LEYTE INDUSTRIAL DEVELOPMENT ESTATE, ISABEL",Leyte,0,PH,
SC SHIPPING SINGAPORE PTE LTD,,,,"6 Temasek Blvd #22/04-05 Suntec Tower 4 ",Singapore,038986,SG,
TBD Shipowner,,,,TBD,Monaco,TBD,MC,
HICRI ERCILI,,,,600 EVLER MAHALLESI BALIKESIR ASFALTI SAĞ TARAF NO: 72,Bandirma,10200,TR,
BARWIL AGENCIES LTD,,,,,Monaco,NULL,MC,
FERTILORE SAS,,,,"40 TER AVENUE DE SUFFREN, 75015 PARIS, FRANCE",Paris,75015,FR,
FLYTE MANILA SA,,,,"23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este",Panama City,NULL,PA,
BOLIDEN MINERAL AB,,,,,Skelleftehamn,932 81,SE,
SHOKUYU TANKER CO. LTD.,,,,,Monaco,0,MC,
"ATLANTIC COPPER ",,,,"P° DE LA CASTELLANA, 95 - 21ST FLOOR",Madrid,28046,ES,
MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,,,,"5 SHENTON WAY, #15-01",Singapore,068808,SG,
TATSUMI MARINE (S) PTE LTD,,,,,Singapore,NULL,SG,
SUMITOMO CORPORATION DIS TICARET A.S.,,,,"Ferko Plaza, Esentepe district, Büyükdere Street No.175, A Blok 20th Floor, Şişli",Istanbul,NULL,TR,
Scrap Co. Ltd,,,,Blvd des Moulins,Monaco,NULL,MC,
"FOCUS SHIPPING CO.,LTD",,,,12/F 3 LOCKHART RD. WANCHAI,Hong Kong,0,HK,
NAMHAE CHEMICAL CORP,,,,"1506, 17, Seobinggo-ro, Yongsan-gu",Seoul,04387,KR,
SHANGHAI ORIENT INTERTEK TESTING SERVICES CO.,,,,,Monaco,0,MC,
MARNAVI SHIPPING MANAGEMENT PVT LTD,,,,,Monaco,0,MC,
SGS TESTING KOREA CO. LTD.,,,,,Monaco,0,MC,
FERALCO (UK) LTD,,,,"DITTON ROAD, WIDNES, CHESHIRE WA 8 OPH, ENGLAND",Cheshire,WA 8 OPH,GB,
ACE QUANTUM CHEMICAL TANKERS CV,,,,,Monaco,0,MC,
HONGKONG ZHOUSHAN YIHAI SHIPPING CO. LTD.,,,,,Monaco,0,MC,
AET SHIP MANAGEMENT (M) SDN. BHD.,,,,,Monaco,0,MC,
NFC PUBLIC COMPANY LTD - PROMMITR,,,,"88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND",Bangkok,10260,TH,
SUMIMA SDN BHD,,,,,Monaco,0,MC,
"TOROS AGRI INDUSTRY AND TRADE CO, INC. (C )",,,,"TEKFEN TOWER,4. LEVENT",Istanbul,34394,TR,
"TRICON ENERGY, LTD",,,,"1500 Post Oak Blvd., 18th Floor, Houston, Texas 77056 USA",Houston,77056,US,
HUTAMA TRANS KONTINENTAL PT,,,,"Lantai 26, Mangkuluhur City Tower One, Jalan Jendral Gatot Subroto Kav 1-3, Kel Karet Semanggi",Jakarta,12930,ID,
GRACEFUL STAR SHIPPING CO LTD,,,,"Room 2109, 21st Floor, C C Wu Building, 302-308, Hennessy Road, Wan Chai, Hong Kong, China.",Hong Kong,NULL,CN,
MAADEN PHOSPHATE COMPANY,,,,"P.O. Box 11110, Ras Al Khair, Industrial City",Jubail,31961,SA,
SUMITOMO CORP. ASIA,,,,"KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297, 50710 KUALA LUMPUR, MALAYSIA",Kuala Lumpur,50710,MY,
"COOGEE CHEMICALS PTY LTD ",,,,"CNR PATTERSON & KIWANA BEACH ROADS, KWINANA, P.O. BOX 5051 ROCKINGHAM BEACH, WA 6969, AUSTRALIA",Brand,6969,AU,
MAKINO KAIUN CO LTD & MAKI OCEAN SHIPPING SA,,,,,Monaco,0,MC,
PROCYON SHIPPING S.A.,,,,,Monaco,0,MC,
VENATOR ASIA SDN BHD (EX HUNTSMAN),,,,"KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA",Kemaman,24000,MY,
WOMAR LOGISTICS PTE LTD,,,,"8 TEAMASEK BOULEVARD, #22-06, SUNTEC TOWER 3",Singapore,038988,SG,
EASTERN TANKERS CO. LTD.,,,,,Monaco,0,MC,
AS INVENTOR SHIPPING,,,,,Monaco,0,MC,
HICRI ERCILI DENIZCILIK AS,,,,,Monaco,0,MC,
BAO PHUNG COMPANY,,,,,Monaco,NULL,MC,
CIE MARITIME BELGE SA,,,,,Monaco,0,MC,
Accounting Matching,,,,internal,,NULL,CH,
IND-AUST MARITIME PVT LTD,,,,"715, JK Chambers, Sector 17, Vashi, Navi Mumbai, Maharashtra",,400703,IN,
SAG Surveyors Alliance Group,,,,"Calle Bolívar 472 Of 705, Miraflores – Lima 18, Perú",Lima,0,PE,
STAINLESS TANKERS INC C/O WOMAR LOGISTICS PTE LTD,,,,,Monaco,0,MC,
HINDALCO INDUSTRIES LTD,,,,"P.O. DAHEJ, DIST : BHARUCH, PIN CODE",Gujarat,392 130,IN,
INCHCAPE SHIPPING SERVICES (JAPAN) LTD.,,,,"HAMAMATSUCHO BLDG. 6F, 1-1-1, SHIBAURA, MINATO-KU",Tokyo,105-0023,JP,
GOLDEN FORTUNE SHIPHOLDING S.A.,,,,,Monaco,0,MC,
SU NAVIGATION PTE. LTD,,,,"200 CANTONMENT ROAD, #14-04 SOUTHPOINT,",Singapore,089763,SG,
PEREZ Y CIA MADRID,,,,FORTUNY 9,Madrid,28010,ES,
INTER QUIMICA S.A.,,,,"AV. SAN MARTIN 209, EDIF. JARABA IMPORT, SANTO DOMINGO, DOMINICAN REPUBLIC",Santo Domingo,0,DO,
"B&M AGENCIA MARITIMA S.A. ",,,,AVENIDA ANDALICAN 881,Mejillones,NULL,CL,
PROQUIGEL QUIMICA S.A.,,,,"FAZENDA CAROBA S/N, 43.813-300 CANDEIAS, BA, BRASIL",Candeias,43.813-300,BR,
SUMITOMO CORPORATION MANILA,,,,,Manila,0,PH,
TIOXIDE (MALAYSIA) SDN BHD,,,,"KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA",Terengganu,24007,MY,
DAITOH TRADING CO. LTD.,,,,,Monaco,0,MC,
TBD Customer,,,,TBD,Monaco,TBD,MC,
BETTY MILD MARITIME S.A,,,,,Monaco,0,MC,
IINO KAIUN KAISHA LTD OF TOKYO.,,,,"IINO BUILDING, 2-1-1 UCHISAIWAICHO, CHIYODA-KU",Tokyo,100-0011,JP,
IINO SINGAPORE PTE. LTD,,,,168 ROBINSON ROAD #13-02 CAPITAL TOWER,Singapore,068912,SG,
"JINLONG COPPER CO., LTD",,,,"1, Jinshan West Road Tongling Anhui",,244021,CN,
MOSAIC FERTILIZANTES BRAZIL,,,,"AV. ROQUE PETRONI JUNIOR 999, 14° ANDAR BROOKLYN, CEP 04707-910 SAO PAULO, BRAZIL",Sao Paulo,CEP 04707-910,BR,
1 name tax_identifier vat_code address_name street city zip country_code subdivision_code
2 HEUNG-A SHIPPING CO., LTD. 3F, HEUNG-A BLDG, 21, SAEMAL-RO 5-GIL, SONGPA-GU Seoul 0 KR
3 SUMITOMO CORPORATION TOKYO INORGANIC CHEMICALS TEAM, INORGANIC AND PERFORMANCE CHEMICALS DEPT. 3-2, OTEMACHI 2-CHROME, CHIYODA-KU Tokyo 100-8601 JP
4 TRANSAMMONIA AG PRIME TOWER, HARDSTRASSE 201, 8005 ZURICH, SWITZERLAND Zurich 8005 CH
5 AMEROPA ONE TEMASEK AVENUE, MILLENIA TOWER HEX 31-02 Singapore 039192 SG
6 NISSHIN SHIPPING CO. LTD Monaco 0 MC
7 KORINDO PELAYARAN PT 12th Floor, Wisma Korindo, Jalan Letjen MT Haryono 62, Kel Pancoran Jakarta NULL ID
8 PARANAPANEMA S/A (C) VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA, BAHIA, BRAZIL Bahia CEP 42850-00 BR
9 AZTEC MARINE LTD Monaco NULL MC
10 MALAYSIAN PHOSPHATE ADDITIVES SB. SUITE 609, LEVEL 6, BLOCK F, PHILEO DAMANSARA 1, N° 9, JALAN 16/11, 46350 PETALING JAYA, SELANGOR DE Petaling Jaya 46350 MY
11 BSI INSPEC. SPAIN (BUREAU VERITAS) Monaco NULL MC
12 MH PROGRESS LINE S.A. Monaco 0 MC
13 NAVIERA PETRAL SA Oficina 102, Calle Alcanflores 393, Miraflores Lima 15074 PE
14 NAVIG8 LIMITED Monaco 0 MC
15 INTEROCEANIC (C) 7 RENAISSANCE SQUARE 7TH FLOOR New York 10601 US
16 LYNX SHIPPING PTE. LTD 16 Raffles Quay #41-02, Hong Leong Building, Singapore 048581 SG
17 ABO SINGAPORE PTE LTD Monaco 0 MC
18 FERTIPAR FERTILIZANTES RUA COMENDADOR CORREA JUNIOR, 1178, BAIRRO 29 DE JULHO, CEP 83.203-762 PARANAGUA, PR BRASIL Paranagua CEP 83.203-762 BR
19 NATIONAL CHEMICAL CARRIERS LTD Monaco 0 MC
20 BALLANCE AGRI-NUTRIENTS HEWLETT'S ROAD, MOUNT MAUNGANUI, NEW ZEALAND Mount Maunganui NULL NZ
21 JX OCEAN CO. LTD THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU Yokohama 220-8148 JP
22 SUKSES OSEAN KHATULISTIWA LINE Blok J, Jalan Mangga Dua Dalam 5&8, Jakarta Pusat Jakarta 10730 ID
23 PARADEEP PHOSPHATES LIMITED BAYAN BHAWAN, PANDIT J. N. MARG, BHUBANESWAR 751001, ORISSA, INDIA Orissa 751001 IN
24 NEW EAGLE SHIPPING S.A. Monaco 0 MC
25 KGHM POLSKA MIEDZ S.A. UL. M. SKLODOWSKIEJ-CURIE 48, 59-301 LUBIN, POLAND Lubin 59-301 PL
26 SUMITOMO CORPORATION - TOHO 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
27 INTERTEK CALEB BRETT INDIA Monaco 0 MC
28 PTT ASAHI CHEMICAL CO. LTD. 8 PHANGMUANG CHAPOH 3-1 ROAD, HUAYPONG SUB-DISTRICT, MUANG DISTRICT, RAYONG 21150, THAILAND Rayong 21150 TH
29 NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO. LTD. NANJING MEDIATOR PETROCHEMICAL TECHNOLOGY CO., LTD, Shuanglong road in Nanjing city of Jiangning Development Zone No 1700, 7th floor, A block, P.R. China China. NULL CN
30 BOLIDEN HARJAVALTA OY TEOLLISUUSKATU 1 Harjavalta 29200 FI
31 TEAM TANKERS INTERNATIONAL LTD. Monaco 0 MC
32 SUMITOMO CORPORATION INDONESIA (SSRI) Jl. Jend. Sudirman Kav. 61-62 Jakarta 12190 ID
33 P&F MARINE CO LTD Monaco 0 MC
34 LA POSTE WANKDORFALLEE 4, 3030 BERNE, SWITZERLAND Bern 3030 CH
35 AURUBIS AG HOVESTRASSE 50 Hamburg 20539 DE
36 ERSHIP SAU CALLE MARINA 26 Huelva 21001 ES
37 KAWASAKI KISEN KAISHA, LTD. Monaco 0 MC
38 SUMITOMO CORPORATION - MMC 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
39 UBE CHEMICALS ASIA PCL (Ex TCL) 18TH FLOOR, SATHORN SQUARE OFFICE TOWER, N° 98 NORTH SATHORN ROAD, SILON SUB-DISTRICT, BANGKOK 10500, THAILAND Bangkok 10500 TH
40 KOREA ZINC COMPANY LTD ONSAN COMPLEX, 505 DAEJONG-RI, ONSAN-EUP, ULJU-GUN ULSAN, KOREA Ulsan NULL KR
41 MTM TRADING LLC OF MARSHALL ISLANDS 2960 POST ROAD, CU Southport 06890 US
42 HOPECHEM CO., LTD (S) ROOM 302, NO.233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, Shenzhen 518114 CN
43 CS MARINE CO LTD Monaco 0 MC
44 HAFNIA POOLS PTE LTD 18-01, MapleTree Business City, 10, Pasir Panjang Road, Singapore 117438 117438 SG
45 SAEHAN MARINE CO LTD. (ULSAN) 502, KYONG DONG E&S #304 JANGSENGPO-DONG, NAM-KU, ULSAN 44780, KOREA Ulsan 44780 KR
46 CIBRAFERTIL COMP. BRASILIERA DE FERTILIZANTES #19-01 SUNTEC TOWER THREE, Camacari 42810-290 BR
47 FAIRFIELD CHEMICAL CARRIERS BV 8 TEMASEK BOULEVARD, #19-01 SUNTEC TOWER THREE, Singapore 038988 SG
48 ASHAPURA PERFOCLAY LTS. JEEVAN ADYOG BUILDING, 3RD FLOOR, 278 D. N. ROAD, FORT, MUMBAI 400 001 Mumbai 400 001 IN
49 TATA CHEMICALS LIMITED DURGACHAK, HALDIA, WEST BENGAL 721 602, INDIA West Bengal 721 602 IN
50 DOE RUN PERU S.R.L. #14-04 SOUTHPOINT, Lima 27 PE
51 INTEROCEANIC (S) 7 RENAISSANCE SQUARE 7TH FLOOR New York 10601 US
52 SAEHAN MARINE CO., LTD Monaco NULL MC
53 MAROC-PHOSPHORE S.A. 2, RUE AL ABTAL, HAY ERRAHA, 20200 CASABLANCA, MOROCCO Casablanca 20200 MA
54 ACE SULFERT (LIANYUNGANG) CO. LTD Monaco NULL MC
55 INCHCAPE SHIPPING SERVICES Monaco 0 MC
56 AONO MARINE CO LTD 1-1-17, SHINDEN-CHO Niihama 792-0003 JP
57 BANDIRMA GÜBRE FABRIKALARI A.S. (S) SUSAM SOK. NO:22 Cihangir-Istanbul 34433 TR
58 HEXAGON GROUP AG Bleicherweg 33 Zurich 8002 CH
59 INNOPHOS DOMICILIO CONOCIDO SN, S.T., PAJARITOS, CP 96384, COATZACOALCOS, VER. MEXICO Coatzacoalcos CP 96384 MX
60 TODA KISEN KK NULL MC
61 FARMHANNONG #523 Maeam-dong Nam-ku, Ulsan 680-050 South Korea Ulsan 680-050 KR
62 AGROINDUSTRIAS DEL BALSAS ISLA DE EN MEDIO SIN NUMERO, INTERIOR RECINTO PORTUARIO, LAZARO CARDENAS, MICH. MEXICO Mexico City NULL MX
63 A.R. SULPHONATES PVT. LIMITED 21, PRINCEP STREET, KOLKATA 700072, INDIA Kolkata 700072 IN
64 WINA TECHNOLOGIES 9 KOFI PORTUPHY STREET, WESTLANDS, WEST LEGON, ACCRA, GHANA Accra 0 GH
65 ARTHUR J. GALLAGHER (UK) LTD Monaco NULL MC
66 STOLT TANKERS B.V. 460 ALEXANDRA ROAD, # 10-01 PSA BUILDING Singapore 119963 SG
67 SAS International LLC 26865 Interstate 45 South - Suite 200 The Woodlands, TX 77380 US
68 TUFTON OCEANIC LTD. Monaco 0 MC
69 D3 CHEMIE Monaco NULL MC
70 Interacid Trading SA (accounting) En Budron H14 Le Mont-sur-Lausanne CH-1052 CH
71 SHANGHAI DINGHENG SHIPPING CO.,LTD. Monaco 0 MC
72 MCC RAMU NICO LTD PO BOX 1229, MADANG SECTION 95, LOT 18-19, MODILON RD PAPUA, NEW GUINEA Modilon RD Papua 0 PG
73 FERTIMAC AV. PLINIO BRASIL MILANO, 289 CONJ. 301, PORTO ALEGRE - RS - BRASIL, CNPJ : 92194026/0001-36 Porto Alegre 0 BR
74 THE PHOSPHATE CO. LTD. . 14, NETAJI SUBHAS ROAD, KOLKATA 700001, INDIA Kolkata 700001 IN
75 CORP. NACIONAL DEL COBRE HUÉRFANOS 1270 Santiago 8320000 CL
76 KIMYA MARKET SANAYI.TIC.LTD.STI. 600 Evler Mah.Balıkesir Asfaltı Sağ Taraf No:72 BANDIRMA BALIKESIR Bandırma Tax Office Bandirma NULL TR
77 Marsh / Navigators Insurance Company 1 Penn PLZ FL 55 New York 10119-5500 US
78 DE POLI TANKERS BV TRONDHEIM 20 Barendrecht 2993LE NL
79 SUNWOO SHIPPING CO., LTD. KEB HANA BANK, MAPO-YEOK BRANCH 041-68 52, MAPO-DAERO, MAPO-GU, SEOUL, SOUTH KOREA ACCOUNT NO. 176-910020-20638 SWIFT : KOEXKRSE IN FAVOUR OF SUNWOO SHIPPING CO., LTD. Seoul NULL KR
80 NYRSTAR PORT PIRIE PTY LTD. HOOFDSTRAAT 1 DORPLEIN 6024 AA BUDEL NL
81 INSPECTORATE (SUISSE) SA Monaco 0 MC
82 GANSU YONGQI INDUSTRY AND TRADE. CO. (C) NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, JINCHANG CITY, GANSU PROVINCE, CHINA Gansu Province 0 CN
83 ASOCIACION DE COOPERATIVAS ARGENTINAS COOP. AV. EDUARDO MADERO 942, 4° - 5° - 6° - 7° PISO/FLOOR, (1106) BUENOS AIRES - ARGENTINA, C.U.I.T. 30-50012088-2 Buenos Aires 1106 AR
84 DM SHIPPING CO LTD Monaco 0 MC
85 SUMITOMO CORPORATION - PPC 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
86 FILHET - ALLARD MARITIME Monaco 0 MC
87 IPSL / PEQUIVEN Monaco 0 MC
88 VENUS SHIPPING CO LTD 1830, Lotte Gold Rose2Cha 890-59 Daechi 4-sa-dong Gangnam-gu Seoul NULL KR
89 TOHO ZINC CO., LTD. 8-2,MARUNOUCHI 1-CHOME,CHIYODA-KU, Tokyo 100-8207 JP
90 PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. 8F., NO 88, SEC. 2, NANJING E. RD, ZHONGSHAN DIST., Taipei 10457 TW
91 INDEVCO TRADING 35 AMBER ROAD #09-14, THE SEA VIEW, SINGAPORE 439945 Singapore 439945 SG
92 GREATHORSE INTERNATIONAL SHIP MANAGEMENT CO., LTD. Monaco 0 MC
93 JINCHUAN JINCHUAN INDUSTRIAL PARK, QISHA INDUSTRIAL ZONE, GANGKOU DISTRICT, FANGCHENGGANG CITY GUANGXI PROVINCE Fangchenggang City 538002 CN
94 MC FOR LLC Room 4, Premise 8N, prospekt Nevskiy 20A, St Petersburg, 191186, Russia. Saint Petersburg 191186 RU
95 GRUPO MEXICO EDIFICIO PARQUE REFORMA CAMPOS ELISEOS NO. 400, LOMAS DE CHAPULTEPEC Mexico City 11000 MX
96 UBS SWITZERLAND AG Rue des Noirettes 35 PO Box 2600 Geneva 1211 CH
97 WLR/TRF SHIPPING LTD. Monaco 0 MC
98 TRANSMARINE NAVIGATION CORPORATION 2321 W WASHINGTON ST # K Stockton 95203 US
99 NATIONAL CHEMICAL CARRIERS LTD. CO. 9/F, ONE JLT, JUMEIRAH LAKE TOWERS Dubai AE
100 SORIN CORPORATION YOUNG-POONG BLDG, 542, GANGNAM-DAERO, GANGNAM-GU Seoul 06110 KR
101 JX METALS SMELTING CO.,LTD. 1-2 OHTEMACHI 1-CHOME, CHIYODA-KU, Tokyo 100-0004 JP
102 CHENGTAI GROUP PTE LTD TBD NULL CN
103 FERFERMEX S.A. PREDIO ENCINO GORDO S/N, C.P. 96340 Veracruz 96340 MX
104 SHOKUYU NAVIGATION CO.,SA NULL MA
105 BERLIAN LAJU TANKER TBK PT Jalan Abdul Mu'is 40, Kec Gambir Jakarta 10160 ID
106 INTERACID NORTH AMERICA, INC (Stockton) 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
107 META NICKEL CEYHUN ATIF KANSU CADDESI 114 BAYRAKTAR CENTER, D BLOK 1. KAT DAIRE NO: 1- Ankara 2 TR
108 OTAMAY SHIPPING INC. Monaco 0 MC
109 NFC PUBLIC COMPANY LTD 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
110 NEW WAY VYAPAAR PVT LTD 249/B, G.T. ROAD (NORTH), LILUAH, FIRST FLOOR, ROOM N° 17, HOWRAH 711 204, WB INDIA Howrah 711 204 IN
111 SGS NORTH AMERICA INC. Tampa NULL US
112 KOYO KAIUN ASIA PTE. LTD Monaco 0 MC
113 KUTCH CHEMICAL INDUSTRIES LTD 20-21, SARA NIWAS, HARI NAGAR, GOTRI ROAD, GUJARAT Vadodara 390 007 IN
114 FAIRFIELD CHEMICAL CARRIERS INC 21 RIVER ROAD,2ND FLOOR, CU Wilton 06897 US
115 EGRAIN AG HESSENSTRASSE 18 Hofheim 65719 DE
116 CHEMBULK OCEAN TRANSPORT LLC THE DELAMAR 175 RENNELL DRIVE , CU Southport 06890 US
117 FEFERMEX SA DE CV PREDIO ENCINO GORDO S/N, COSOLEACAQUE, VERACRUZ, CP 96340, MEXICO Veracruz CP 96340 MX
118 SOUTHERN PERU COPPER CORP AVENIDA, CAMINOS DEL LNCA 171, CHACARILLA DEL ESTANQUE, SURCO Lima 33 PE
119 K.N.D. LINE S.A. Monaco 0 MC
120 JUPITER DYECHEM PVT LTD. MITTAL COURT, A WING, OFFICE N° 92 & 93, 9TH FLOOR, NARIMAN POINT, MUMBAI 400 021, BRANCH OFFICE 138/2 VANMALA COMPOUND, VALEGAON, KHANDAGALE ESTATE, PURNA, BHIWANDI, DISTRICT THANE Mumbai 400-021 IN
121 TIMAC AGRO INDUSTRIA BRASIL AV. ALMIRANTE MAXIMIANO FONSECA 1550 KM 02, DIST. INDUSTRIAL 96204-040, RIO GRANDE, RS, BRASIL Rio Grande 96204-040 BR
122 SATCO SULPHURIC ACID 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
123 YAOKI SHIPPING S.A. NULL MC
124 HOPECHEM CO., LTD. (AGENT) ROOM 302, N° 233 KENGBEI VILLAGE, WUTONG-SHAN ART TOWN, LUOHU DISTRICT, SHENZHEN, P. R. CHINA 518114 Shenzhen 518114 CN
125 CONS. DOMINICAN REPUBLIC Monaco NULL MC
126 BUNGE ARGENTINA S.A. 25 DE MAYO 501, 4TH FLOOR, C1002ABK BUENOS AIRES, ARGENTINA Buenos Aires C1002ABK AR
127 PISCES LINE SHIPPING S.A. Monaco 0 MC
128 TONGLING NONFERROUS METALS GROUP CO. LTD Room 308, 3rd Floor, Nonferrous Courtyard Business Building, Changjiang West Road, Tongling, Anhui Province Tongling 24400 CN
129 NAVQUIM SHIP MANAGEMENT 10th Floor, Tower C, Weena 242, Rotterdam 3012 NJ NL
130 ETI BAKIR A.S. ALTUNIZADE, KISIKLI CD. NO:37 Üsküdar-Istanbul 34662 TR
131 NEW SEAGULL SHIPPING S.A. Monaco 0 MC
132 NFC PUBLIC COMPANY LTD - SUNTAI 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
133 Asahi Tanker Co.,Ltd Hibiya-Daibiru 3F 2-2, Uchisaiwaicho 1-Chome, Chiyoda-Ku Tokyo 100-0011 JP
134 SGS ITALIA S.R.L. Monaco 0 MC
135 TATSUMI MARINE CO., LTD TATSUMI BLDG. 3RD FLOOR 3-8-7, ITABASHI, CHIYODA-KU, TOYKO 102-0072 Tokyo 102-0072 JP
136 S5 ASIA LIMITED (THAILAND) 21ST FLOOR, TIMES SQUARE BUILDING, 246 SUKHUMVIT ROAD, KLONGTOEY Bangkok 10110 TH
137 OCEAN STAR Monaco 0 MC
138 HICRI ERCILI DENIZCILIK AS Balikesir Asfalti Sag Taraf Caddesi, 72, 600 Evler Mah Bandirma 10200 TR
139 SUMITOMO CORPORATION ASIA KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297 Kuala Lumpur 50710 MY
140 YARA SWITZERLAND ROUTE DU FLORISSANT 13, 1206 GENEVA, SWITZERLAND Geneva 1206 CH
141 NEW GLORY SHIPPING S.A. Monaco 0 MC
142 UNI-TANKERS A/S Turbinevej 10 Middelfart 5500 DK
143 SACONIX LLC 560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA Rosswell GA 30075 US
144 PAN PACIFIC COPPER CO., LTD. 1-2 OHTEMACHI 1-CHOME, CHIYODA-KU, Tokyo 100-8147 JP
145 ZODIAC MARITIME LIMITED OF LONDON PORTMAN HOUSE, 2 PORTMAN STREET London W1H 6DU GB
146 UTKILEN A.S. Monaco 0 MC
147 ULTRATANK Monaco 0 MC
148 TIANJIN JIAHENGYUAN INTL TRADE CO.,LTD Monaco NULL CN
149 DUKSAN P&V CO LTD 2nd Floor, Dongailbo Building, 87, Jungang-daero, Jung-gu Busan 48929 KR
150 GOLDEN MERCURY MARITIME S.A. Monaco 0 MC
151 SUMITOMO CORPORATION THAILAND LTD. 20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN Bangkok 10330 TH
152 SUMITOMO CORPORATION INDIA PVT LTD OFFICE N° 1, UNIT B, 5TH FLOOR S-14, SOLITAIRE CORPORATE PARK 167, GURU HARGOBINDJI ROAD, CHAKALA, ANDHERI (EAST) Mumbai 400 093 IN
153 YOUNG POONG CORPORATION 555, SUKPO-RI, SUKPO-MYUN, BONGHWA-GUN Kyoungbuk 0 KR
154 BTS TANKERS PTE LTD Monaco 0 MC
155 STELLA TANKER PTE LTD 10 ANSON ROAD # 23-03 Singapore 079903 SG
156 GOLDEN DREAM MARITIME SA Monaco 0 MC
157 JAL KUMUD SHIPPING IFSC PVT Unit GA-20, Ground Floor, Pragya Accelerator Savvy Ats Group, Gift City, Gandhinagar, Gujarat 382355 IN
158 MANGALORE CHEMICALS UB TOWER, LEVEL 11, UB CITY, 24, VITTAL MALLYA ROAD, BENGALURU 560 001, INDIA Bengaluru 560 001 IN
159 TATSUMI SHOKAI CO. LTD (ONAHAMA) 312, ONAHAMA AZATAKAYAMA Iwaki City 0 JP
160 CHEMSEA SHIPPING COMPANY LIMITED Rm 1510 Wing Tuck CommCtr 177-183 Wing Lok St Hong Kong NULL HK
161 JEIL INTL CO LTD RM 301, 3F SAMJUNG ENTERPRISE B/D, 5, JUNGANG-DAERO 775 BEON-GIL, BUNSANJIN-GU Busan 0 KR
162 GLENCORE INTERNATIONAL AG BAARERMATTSTRASSE 3, P.O. BOX 1363, 6341 BAAR, SWITZERLAND Baar 6341 CH
163 MOL NORDIC TANKERS A/S Monaco 0 MC
164 ESSEX SHIPPING JUBILEE HOUSE, 3 THE DRIVE, GREAT WARLEY, BRENTWOOD ESSEX Brentwood CM13 3FR GB
165 BANDIRMA GÜBRE FABRIKALARI A.S (C ) SUSAM SOK. NO:22 Cihangir-Istanbul 34433 TR
166 SGS SWITZERLAND SA Monaco 0 MC
167 TOROS AGRI INDUSTRY AND TRADE CO., INC. (S) TEKFEN TOWER,4. LEVENT Istanbul 34394 TR
168 WOOJIN SHIPPING CO.,LTD KUNSHIN BLDG.NEW BLDGO #501, 16, SAMGAE-RO (250-4,DOHWA-DONG) MAPO-GU Seoul 0 KR
169 TRF SHIP MANAGEMENT AS Monaco 0 MC
170 AMERICAS EXPORT CORP. P.O. BOX 3067, WEST PALM BEACH, FL 33402, FLORIDA, UNITED STATES West Palm Beach FL 33402 US
171 QUANG BINH IMPORT AND EXPORT JOINT STOCK N° 23, BLOCK 01, AREA 97 BACH DANG, HA LY, HONG BANG DISTRICT, HAI PHONG CITY, VIETNAM Hai Phong 0 VN
172 GROUPE CHIMIQUE TUNISIEN 7, RUE DU ROYAUME D'ARABIE-SAOUDITE, 1002 TUNIS BELVEDERE, TUNISIA Tunis Belvedere 1002 TN
173 PARANAPANEMA S/A. (S) VIA DO COBRE N° 3700, AREA INDUSTRIAL OESTE (AIO) - COPEC, CEP 42850-00 DIAS D'AVILA Bahia CEP 42850-00 BR
174 NYRSTAR SALES & MARKETING AG TESSINERPLATZ 7 Zurich 8002 CH
175 IPRUDENTIAL SHIPPING AGENCY SERVICES INC 4TH FLOOR, KALAYAAN BLDG, SALCEDO CORNER DELA ROSA ST., LEGASPI VILLAGE, MAKATI VILLAGE, PHILIPPINES 1229 Makati Village 1229 PH
176 DAEHO SHIPPING CO LTD Room 203(woolim bldg) 19, Daepyeong-ro 28beon-gil, Yeongdo-gu, Busan, Korea NULL KR
177 SIETEMAR SA Monaco 0 MC
178 WALLEM Monaco 0 MC
179 BACONCO J-V COMPANY Monaco NULL MC
180 CORAL BAY NICKEL CORP. RIO TUBA EXPORT PROCESSING, ZONE RIO TUBA, BATARAZA, PALAWAN, PHILIPPINES 5306, TIN 005-961-540-00000 Palawan 5306 PH
181 ROSSING URANIUM PRIVATE BAG 5005, SWAKOPMUNG, NAMIBIA Swakopmung 0 NA
182 INCITEC LTD LEVEL 8, 28 SOUTHBANK BOULEVARD, SOUTHBANK, VICTORIA 3006, AUSTRALIA Victoria 3006 AU
183 TBD Supplier TBD Monaco TBD MC
184 SATCO - Tampa Terminal Tampa NULL US
185 NORFALCO LLC 100 KING STREET WEST, SUITE 6900, PO BOX 403, TORONTO, ON Toronto M5X 1E3 CA
186 INDIAN FARMERS FERTILIZER COOPERATIVE LTD PARADEEP UNIT, VILLAGE MUSADIA, P. O. PARADEEP, JAGATSINGHPUR, ORISSA - 754142, INDIA, GST N° 21AAAAI0050M2Z6 Orissa 754142 IN
187 SUMITOMO CORPORATION AFRICA (GHANA) SILVER STAR TOWER, 8TH FLOOR, AIRPORT CITY, 8TH FLOOR Accra 0 GH
188 SUMITOMO CORPORATION THAILAND 20TH, 21ST & 22ND FLOOR UNIT 1, M. THAI TOWER, ALL SEASONS PLACE, 87 WIRELESS ROAD, LUMPINI, PHATUMWAN Bangkok 10330 TH
189 ORION REEDEREI GMBH & CO KG Monaco 0 MC
190 SOCIEDAD CONTRACTUAL EL ABRA CAMINO CONCHI VIEJO S/N, KM 75, CALAMA, CHILE Calama 0 CL
191 POLYSERVE 22 SYRIA ST., MOHANDESIEEN, Giza 0 EG
192 MT MARITIME MANAGEMENT USA LLC Monaco 0 MC
193 SUN METALS CORPORATION PTY LTD 1 ZINC AVENUE STUART QLD STUART 4811 AU
194 SINOTRANS DONGWAN WAREHOUSE LOGISTICS CO.,LTD. ZHONGHUA RD, GANGKOU DISTRICT, FANGCHENGGANG Guangxi 0 CN
195 INTERNATIONAL COBALT CO P.O. BOX N° 7539, E. BAY STREET, NASSAU, BAHAMAS Nassau 0 BS
196 GULF AGENCY COMPANY LIMITED Monaco 0 MC
197 NIPPON MARINE CO. LTD Monaco 0 MC
198 Interacid Trading Chile Av. Isidora Goyenechea 3600, Of. 301 Santiago NULL CL
199 DORVAL SC TANKERS INC. 3RD FL KDX MONZENNAKACHO BLDG, 1-14-1, BOTAN, KOTO-KU Tokyo NULL JP
200 Interacid Trading SA Av. des Baumettes 5 Renens 1020 CH
201 BHP BILLITON CERRO EL PLOMO 6000, 18TH FLOOR, LAS CONDES, SANTIAGO, CHILE Santiago NULL CL
202 ENEOS OCEAN CORPORATION THE LANDMARK TOWER YOKOHAMA 48TH FLOOR 2-2-1, MINATOMIRAI, NISHI-KU Yokohama 220-8148 JP
203 SEATRANS MARINE PRIVATE LIMITED ABIR KUNJ, 158 RAJDANGA NABAPALLY Kolkata 700107 IN
204 MAC SHIPPING MANAGEMENT PTE hk Hong Kong NULL HK
205 NEXA RESOURCES CAJAMARQUILLA S.A. CAR. CENTRAL N° 9.5 CAJAMARQUILLA (CARR. CENTRAL KM 9.5 DESVIO A HUACHIPA), LIMA, LURIGANCHO Lurigancho 0 PE
206 SUMITOMO CORPORATION - ACIDS 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
207 OCEAN FAVOR SHIPPING (SHANGHAI) LTD ROOM 517 A BUILDING 3 NO 2588, SOUTH LIANHUA ROAD MINHANG DISTRICT Shanghai 0 CN
208 FUJI LAVA MARITIME LTD Monaco 0 MC
209 CENTRAL ROMANA CORP. LTD. C/O AMERICAS EXPORT COPR, P.O. BOX 3067, WEST PALM BEACH, FLORIDA 33401-3067 West Palm Beach 33401-3067 US
210 THE BTTCO OVERSEAS B-92, OM TOWERS, GHODA CAMP ROAD, SHAHIBAUG Ahmedabad 380 004 IN
211 BEYKIM DENIZCILIK GEMI IC Kapi 142, Blok 2, Maslak A Blok, AOS 55 Sokak, Maslak Mah, 42, SariyeR Istanbul NULL TR
212 YARA BRAZIL AV. ALMIRANTE MAXIMIANO FONSECA 2001, CEP 96204-040, RIO GRANDE, RS, BRASIL Rio Grande CEP 96204-040 BR
213 SAEHAN MARINE CO LTD (BUSAN) 12TH FLOOR, ANNJAY TOWER 208, TEHERAN-RO, GANGNAM-GU, SEOUL, 06220, KOREA Seoul 6220 KR
214 GOLDEN STENA BAYCREST TANKERS PTE LTD 108 PASIR PANJANG ROAD, #04-15 GOLDEN AGRI PLAZA Singapore 118535 SG
215 DUCGIANG CHEMICAL AND DETERGENT TANG LOONG INDUSTRIAL ZONE, TANG LOONG, BAO THANG, LAO CAI, VIETNAM Lao Cai NULL VN
216 VISIONCHEM #1515 SAMKOO BUILDING, 40 CHEONGPA-RO, YONGSAN-GU Seoul 4373 KR
217 Shandong Xiangying Chemical Import and Export CO.,LTD. 715, Tower A, world trade center, Yantai, Handong province, NULL CN
218 SUMITOMO MYANMAR #208~213, 2ND FLOOR, PRIME HILL BUSINESS SQUARE, NO.60 SHWE DAGON PAGODA ROAD, DAGON TOWNSHIP Yangon 0 MM
219 WILSON INTERNATIONAL TRADING PRIVATE LTD 8 Temasek Boulevard 17-02/03 Suntec Tower 3 Singapore 038988 SG
220 PANOLI INTERMEDIATES (INDIA) PVT. LTD. 'Sara Niwas', 20-21, Harinagar Co.Op. Society, Gotri Road Vadodara 39007 IN
221 DHL EXPESS Monaco NULL MC
222 HIBI KYODO SMELTING CO.,LTD. 1-11-1 OSAKI , SHINAGAWA-KU Tokyo 141-8584 JP
223 STERLITE INDUSTRIES SIPCOT INDUSTRIAL COMPLEX, MADURAI BYPASS ROAD, THOOTHUKUDI (TAMIL NADU) Tuticorin 628002 IN
224 TAIHEI KAIUN KK Monaco 0 MC
225 PT QMB NEW ENERGY MATERIALS Sopo Del Office Tower Lantai 22, Unit A, Jalan Mega Kuningan Barat III Lot 10.1-6 Kawasan Mega Kuningan, Kota Adm. Jakarta Selatan, Provinsi DKI Jakarta, Kode Pos: 12950, Indonesia Jakarta 12950 ID
226 GLENCORE HOLDING AG BAARERMATTSTRASSE 3, P.O. BOX 1363 Baar 6340 CH
227 SHANGHAI SUMITOMO CORPORATION CO.,LTD. 10F, SHANGHAI WORLD FINANCIAL CENTER, 100 CENTURY AVENUE, PUDONG NEW AREA Shanghai 200120 CN
228 INEOS SULPHUR CHEMICALS SPAIN, S.L.U. DIQUE DE ZIERBENA, MUELLE AZ-1 Zierbena-Bizkaia 48508 ES
229 CIECH S.A UL. WSPOLNA Warsaw 00-684 PL
230 SUMITOMO AUSTRALIA LEVEL 21, 101 COLLINS STREET, MELBOURNE VIC 3000, AUSTRALIA Melbourne VIC 3000 AU
231 GOLDEN JUPITER NAVIGATION S.A. Monaco 0 MC
232 Agrifields DMCC, Dubai 3201, JBC4, Cluster N, Jumeirah Lake Towers Dubai NULL AE
233 CVCI AVENUE D'OUCHY 47, 1006 LAUSANNE, SWITZERLAND Lausanne CH-1006 CH
234 PAN OCEAN CO., LTD Tower 8, 7, Jong-ro 5-Gil, Jongro-Gu, Seoul, Korea (Rep of) Korea, Republic Of Seoul NULL KR
235 SGS-CSTC STANDARDS TECNICAL SERVICES CO. LTD Monaco 0 MC
236 SINOCHEM INTERNATIONAL CORP. Monaco 0 MC
237 INFICESS SHIPPING CO., LTD. Monaco 0 MC
238 SUMITOMO CORPORATION VIETNAM LLC (HA) 9TH FLOOR, CORNERSTONE BLDG, 16 PHAN CHU TRINH STREET, HOAN, KIEM DISTRICT Hanoi 0 VN
239 SUMITOMO CORPORATION - NO OR LIMITED COMMISSION 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
240 SEASTAR MARITIME CO. LTD Room 2112, Techno-Mart 21 Bldg, 85 Gwangnaru-Ro 56 Gil, Gwangjin-Gu Seoul NULL KR
241 NFC PUBLIC COMPANY LTD - MAHACHAI 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
242 INTERACID TRADING (CHILE) S.A. ISIDORA GOYENECHEA NR. 3600 - OFFICE 301 LAS CONDES Santiago CL
243 J.M. BAXI & CO GODREJ COLISEUM, 8TH FLOOR, 801-C WING, EVERARD NAGAR, SION (EAST), Mumbai 400022 IN
244 KONA MARITIME S.A. Monaco 0 MC
245 NewChem Consulting AG Waldeggweg 6A 6318 Walchwil Switzerland Walchwil 6318 CH
246 TAGANITO HPAL NICKEL CORPORATION TAGANITO SPECIAL ECONOMIC ZONE (TSEZ) BARANGAY TAGANITO, CLAVER, SURIGAO DEL NORTE, PHILIPPINES 8410 Surigao Del Norte 8410 PH
247 KHANG TRUNG HIEU CO. LTD N° 12/17, VO THI SAU STREET, QUYET THANG WARD, BIEN HOA CITY, DONG NAI PROVINCE, VIETNAM Dong Nai Province 0 VN
248 INFICESS SHIPPING CO. LTD. Monaco 0 MC
249 SRF LIMITED D II/I, GIDC PCPIR, GIDC PHASE II, TAL VAGRA, VILLAGE DAHEJ, BHARUCH, GUJARAT 392130, INDIA Gujarat 392130 IN
250 FLYTE YANGON SA 23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este Panama City NULL PA
251 ASIA CHEMICAL TANKER ALLIANCE PTE LTD 6 Temasek Boulevard #44-01 Suntec Tower Four Singapore 038986 SG
252 TATSUMI SHOKAI (NAOSHIMA/HIBI) TATSUMI SHOKAI BLDG 3FL 4-1-1, CHIKKO, MINATO-KU Osaka 552-0021 JP
253 COROMANDEL INTERNATIONAL LTD COROMANDEL HOUSE, 1-2-10, SARDAR PATEL ROAD, SECUNDERABAD, 500003, INDIA Secunderabad 50003 IN
254 GLENCORE CHILE SPA AV. COSTANERA SUR 2730 OF. 1701, PISO 17, LAS CONDES, SANTIAGO, CHILE Santiago 0 CL
255 NIPPON MARINE CO LTD 966-15 OITA CITY Saganoseki 879-2201 JP
256 SGS ESPANOLA DE CONTROL Monaco 0 MC
257 LISBON SHIPPING LTD Room 550, 5th Floor, Zonghe Lou, 385, Chaoyangshan Lu, Huangdao Qu, Qingdao Qingdao 266400 CN
258 FEDERAL EXPRESS (FEDEX/TNT) Monaco NULL MC
259 SAI SULPHONATES PCT LTD 21, C. R. AVENUE, WHITE HOUSE, 2ND FLOOR, 700 072 KOLKATA, INDIA Kolkata 700 072 IN
260 MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE 5 SHENTON WAY, #15-01 Singapore 068808 SG
261 SONGA SHIPMANAGMENT LTD Monaco 0 MC
262 NORTON LILLY INTERNATIONAL 433 CALIFORNIA ST San Francisco 94104 US
263 Xingtong Shipping (Singapore) Pte Ltd TEMASEK BOULEVARD #24-05 SUNTEC TOWER FOUR SINGAPORE Tel: +65 9298398 Email: chartering@xtshipping.com Singapore 038986 SG
264 GUJARAT FLUOROCHEMICALS LIMITED ABS TOWERS, 2ND FLOOR, OLD PADRA ROAD, VADODARA 390007, GUJARAT, INDIA Vadodara 390007 IN
265 CELSIUS SHIPPING APS Monaco 0 MC
266 JEIL INTERNATIONAL CO. LTD. Monaco 0 MC
267 TIMAC AGRO IRELAND LIMITED 4 & 5, PRIORITY COURT THE QUAY, NEW ROSS, CO WEXFORD, IRELAND Wexford Y34 HV25 IE
268 SUMITOMO CORPORATION ASIA & OCEANIA 35TH FLOOR UBN TOWER, 10 JALAN P RAMLEE Kuala Lumpur 50250 MY
269 INTERACID NORTH AMERICA, INC (Beaumont) 560 WEST CROSSVILLE ROAD, SUITE N° 204, ROSWELL, GA 30075, USA Roswell 30075 US
270 NFC PUBLIC COMPANY LTD - UCHA 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
271 NUOVA SOLMINE S.P.A. VIA NUOVA VIGNOLE 38 Serravalle Scrivia AL 15069 IT
272 LUMUT VENTURE SDN BHD Monaco 0 MC
273 CONE SUL AGENCIA DE NAVEGACAO LTDA Monaco NULL MC
274 SUMITOMO CORPORATION (SHANGHAI) LTD 10F,Shanghai World Financial Center,100 Century Avenue, Pudong New Area, Shanghai Shanghai NULL CN
275 MITSUBISHI MATERIALS CORPORATION METALS COMPANY 11F KEIDANRENKAIKAN, 1-3-2,OHTEMACHI,CHIYODA-KU Tokyo 100-8117 JP
276 CREDIT SUISSE (SWITZERLAND) SA 1201 Geneva Geneva NULL CH
277 INTERACID NORTH AMERICA, INC (Tampa) 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Tampa 33610 US
278 PT PUPUK ISKANDAR MUDA (PIM) JL. MEDAN - BANDA ACEH PO BOX 21 NULL ID
279 FURUKAWA METALS & RESOURCES CO., LTD. 2-3 MARUNOUCHI, 2 - CHOME, CHIYODA-KU Tokyo 0 JP
280 SUNWOO TANKER CO. LTD, KOREA MI-WON BLDG ROOM 1702, 70 GUKJEGEUMYUNG-RO, YEONGDEUNGPO-GU Seoul NULL KR
281 SATCO SULPHURIC ACID WC 10210 HIGHLAND MANOR DRIVE - SUITE 140, TAMPA - FL Stockton 33610 US
282 SUMITOMO CORPORATION VIETNAM LLC (HM) LANDMARK BUILDING, 6TH FLOOR, 5B TON DUC THANG, BEN NGHE WARD, DISTRICT 1, Ho Chi Minh 0 VN
283 ODFJELL TANKERS AS CONRAD MOHRS VEG 29 Bergen 5072 NO
284 SUMITOMO METAL MINING CO., LTD. 3-5-3, NISHIBARA-CHO, NIIHAMA EHIME 792-8555 JP
285 GANSU YONGQI INDUSTRY AND TRADE. CO. (S) NORTH OF YANAN ROAD, WEST OF HEYA ROAD, JINCHUAN DISTRICT, GANSU PROVINCE, Jinchang City 0 CN
286 UPS UNITED PARCEL SERVICE (SCHWEIZ) AG Monaco 0 MC
287 HANSA TANKERS AS OF BERGEN KALFARVEIEN 57A Bergen 5022 NO
288 SC SHIPPING SINGAPORE PTE LTD Monaco 0 MC
289 FOSPHORY SP Z.O.O IL. KUJAWSKA 2 Gdansk 80-550 PL
290 VELOCITE SARL RUE DR CESAR-ROUX 29, 1003 LAUSANNE, SWITZERLAND Lausanne 1003 CH
291 TACHIBANAYA CO. LTD. Monaco 0 MC
292 SUMITOMO CORPORATION TAIWAN LTD SUMITOMO-FLYSUN BLDG. 8TH FL., NO. 260, TUN HWA N. ROAD Taipei NULL TW
293 TAIKO MARKETING SDN B2-6-01, BLOK B2, MERITUS @ OASIS CORPORATE N° 2, JALAN PJU 1A/2, ARA DAMANSARA, 47301 PETALING JAYA, SELANGOR, MALAYSIA Petaling Jaya 47301 MY
294 SAEHAN MARINE CO, LTD (MARINE) 10 ANSON ROAD #26-02 INTERNATIONAL PLAZA Singapore 79903 SG
295 DILMAS CO LTD ul Pogranichnaya 72, Nakhodka, Primorskiy kray, 692910, Russia. Primorsk 692910 RU
296 SAYBOLT POLAND SP. Z O.O. 1 PODLASKA STR. Gdynia 81-325 PL
297 AKR SEA TRANSPORT PT Lot 7, Wisma AKR, Jalan Panjang 5, Kec Kebon Jeruk Jakarta 11530 ID
298 NAVIG8 CHEMICAL POOLS INC. 3 TEMASEK AVENUE, #25-01 CENTINNIAL TOWER Singapore 039190 SG
299 RAETSMARINE INSURANCE B.V. Monaco 0 MC
300 AR SAVAGE AND SON 202 SOUTH ROME AVE, SUITE 200 Tampa 33606 US
301 MARCOBRE S.A.C. Giovanni Batista Lorenzo Bernini 149, Piso 3, Oficina 301, San Borja, Lima, Peru Lima NULL PE
302 LS-NIKKO COPPER INC. 15FI., (LS YONGSAN TOWER), 92, HANGANG-DAERO, YONSAN-GU Seoul 4386 KR
303 JLS MONKEY CO LTD Workshop B, 3rd Floor, Manning Industrial Building, 116-118, How Ming Street, Kwun Tong, Kowloon Hong Kong NULL CN
304 SUMITOMO CORPORATION - FURUKAWA 3-2 OTEMACHI 2-CHOME, CHIYODA-KU Tokyo 100-8601 JP
305 CHEMMASTER TANKERS COMPANY LIMITED Room 1510,wing Tuck Commerical Centre, 177-183 Wing Lok Street Hong Kong NULL HK
306 BTM MUFG Bank Ltd Ropemaker Place, 25 Ropemaker Street London EC2Y 9AN, United Kingdom London EC2Y 9AN GB
307 PT PETROKIMIA (PKG) JI. JEND. AHMAD YANI, GRESIK 61119 Gresik 61119 ID
308 Sulfuric Acid Trading Company , Inc (SATCO) 3710 Corporex Park Drive - Suite 205 Tampa NULL US
309 TWO LIONS ZHANGJIAGANG DONGHUA ROAD YANGTZE RIVER INTERNATIONAL CHEMICAL INDUSTRIAL PARK Zhangjiagang 0 CN
310 ACE TANKERS MANAGEMENT B.V. STRAWINSKYLAAN 1057 Amsterdam STRAWINSKYLAAN 1057 NL
311 PHILIPPINE ASSOCIATED SMELTING AND REFINING CORP. LEYTE INDUSTRIAL DEVELOPMENT ESTATE, ISABEL Leyte 0 PH
312 SC SHIPPING SINGAPORE PTE LTD 6 Temasek Blvd #22/04-05 Suntec Tower 4 Singapore 038986 SG
313 TBD Shipowner TBD Monaco TBD MC
314 HICRI ERCILI 600 EVLER MAHALLESI BALIKESIR ASFALTI SAĞ TARAF NO: 72 Bandirma 10200 TR
315 BARWIL AGENCIES LTD Monaco NULL MC
316 FERTILORE SAS 40 TER AVENUE DE SUFFREN, 75015 PARIS, FRANCE Paris 75015 FR
317 FLYTE MANILA SA 23rd Floor, MMG Tower, Paseo del Mar y Boulevard Pacific, Costa del Este Panama City NULL PA
318 BOLIDEN MINERAL AB Skelleftehamn 932 81 SE
319 SHOKUYU TANKER CO. LTD. Monaco 0 MC
320 ATLANTIC COPPER P° DE LA CASTELLANA, 95 - 21ST FLOOR Madrid 28046 ES
321 MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE 5 SHENTON WAY, #15-01 Singapore 068808 SG
322 TATSUMI MARINE (S) PTE LTD Singapore NULL SG
323 SUMITOMO CORPORATION DIS TICARET A.S. Ferko Plaza, Esentepe district, Büyükdere Street No.175, A Blok 20th Floor, Şişli Istanbul NULL TR
324 Scrap Co. Ltd Blvd des Moulins Monaco NULL MC
325 FOCUS SHIPPING CO.,LTD 12/F 3 LOCKHART RD. WANCHAI Hong Kong 0 HK
326 NAMHAE CHEMICAL CORP 1506, 17, Seobinggo-ro, Yongsan-gu Seoul 04387 KR
327 SHANGHAI ORIENT INTERTEK TESTING SERVICES CO. Monaco 0 MC
328 MARNAVI SHIPPING MANAGEMENT PVT LTD Monaco 0 MC
329 SGS TESTING KOREA CO. LTD. Monaco 0 MC
330 FERALCO (UK) LTD DITTON ROAD, WIDNES, CHESHIRE WA 8 OPH, ENGLAND Cheshire WA 8 OPH GB
331 ACE QUANTUM CHEMICAL TANKERS CV Monaco 0 MC
332 HONGKONG ZHOUSHAN YIHAI SHIPPING CO. LTD. Monaco 0 MC
333 AET SHIP MANAGEMENT (M) SDN. BHD. Monaco 0 MC
334 NFC PUBLIC COMPANY LTD - PROMMITR 88 SC GROUP BUILDING, 3RD FLOOR, THE PARKLAND ROAD, BANGNA NUEA SUB-DISTRICT, BANGNA, BANGKOK 10260, THAILAND Bangkok 10260 TH
335 SUMIMA SDN BHD Monaco 0 MC
336 TOROS AGRI INDUSTRY AND TRADE CO, INC. (C ) TEKFEN TOWER,4. LEVENT Istanbul 34394 TR
337 TRICON ENERGY, LTD 1500 Post Oak Blvd., 18th Floor, Houston, Texas 77056 USA Houston 77056 US
338 HUTAMA TRANS KONTINENTAL PT Lantai 26, Mangkuluhur City Tower One, Jalan Jendral Gatot Subroto Kav 1-3, Kel Karet Semanggi Jakarta 12930 ID
339 GRACEFUL STAR SHIPPING CO LTD Room 2109, 21st Floor, C C Wu Building, 302-308, Hennessy Road, Wan Chai, Hong Kong, China. Hong Kong NULL CN
340 MAADEN PHOSPHATE COMPANY P.O. Box 11110, Ras Al Khair, Industrial City Jubail 31961 SA
341 SUMITOMO CORP. ASIA KUALA LUMPUR BRANCH, UBN TOWER, 35TH FLOOR, 10 JALAN P. RAMLEE, P.O. BOX 10297, 50710 KUALA LUMPUR, MALAYSIA Kuala Lumpur 50710 MY
342 COOGEE CHEMICALS PTY LTD CNR PATTERSON & KIWANA BEACH ROADS, KWINANA, P.O. BOX 5051 ROCKINGHAM BEACH, WA 6969, AUSTRALIA Brand 6969 AU
343 MAKINO KAIUN CO LTD & MAKI OCEAN SHIPPING SA Monaco 0 MC
344 PROCYON SHIPPING S.A. Monaco 0 MC
345 VENATOR ASIA SDN BHD (EX HUNTSMAN) KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA Kemaman 24000 MY
346 WOMAR LOGISTICS PTE LTD 8 TEAMASEK BOULEVARD, #22-06, SUNTEC TOWER 3 Singapore 038988 SG
347 EASTERN TANKERS CO. LTD. Monaco 0 MC
348 AS INVENTOR SHIPPING Monaco 0 MC
349 HICRI ERCILI DENIZCILIK AS Monaco 0 MC
350 BAO PHUNG COMPANY Monaco NULL MC
351 CIE MARITIME BELGE SA Monaco 0 MC
352 Accounting Matching internal NULL CH
353 IND-AUST MARITIME PVT LTD 715, JK Chambers, Sector 17, Vashi, Navi Mumbai, Maharashtra 400703 IN
354 SAG Surveyors Alliance Group Calle Bolívar 472 Of 705, Miraflores – Lima 18, Perú Lima 0 PE
355 STAINLESS TANKERS INC C/O WOMAR LOGISTICS PTE LTD Monaco 0 MC
356 HINDALCO INDUSTRIES LTD P.O. DAHEJ, DIST : BHARUCH, PIN CODE Gujarat 392 130 IN
357 INCHCAPE SHIPPING SERVICES (JAPAN) LTD. HAMAMATSUCHO BLDG. 6F, 1-1-1, SHIBAURA, MINATO-KU Tokyo 105-0023 JP
358 GOLDEN FORTUNE SHIPHOLDING S.A. Monaco 0 MC
359 SU NAVIGATION PTE. LTD 200 CANTONMENT ROAD, #14-04 SOUTHPOINT, Singapore 089763 SG
360 PEREZ Y CIA MADRID FORTUNY 9 Madrid 28010 ES
361 INTER QUIMICA S.A. AV. SAN MARTIN 209, EDIF. JARABA IMPORT, SANTO DOMINGO, DOMINICAN REPUBLIC Santo Domingo 0 DO
362 B&M AGENCIA MARITIMA S.A. AVENIDA ANDALICAN 881 Mejillones NULL CL
363 PROQUIGEL QUIMICA S.A. FAZENDA CAROBA S/N, 43.813-300 CANDEIAS, BA, BRASIL Candeias 43.813-300 BR
364 SUMITOMO CORPORATION MANILA Manila 0 PH
365 TIOXIDE (MALAYSIA) SDN BHD KAWASAN INDUSTRI TELUK KALUNG, P.O. BOX 29, KEMAMA 24007, TERENGGANU, MALAYSIA Terengganu 24007 MY
366 DAITOH TRADING CO. LTD. Monaco 0 MC
367 TBD Customer TBD Monaco TBD MC
368 BETTY MILD MARITIME S.A Monaco 0 MC
369 IINO KAIUN KAISHA LTD OF TOKYO. IINO BUILDING, 2-1-1 UCHISAIWAICHO, CHIYODA-KU Tokyo 100-0011 JP
370 IINO SINGAPORE PTE. LTD 168 ROBINSON ROAD #13-02 CAPITAL TOWER Singapore 068912 SG
371 JINLONG COPPER CO., LTD 1, Jinshan West Road Tongling Anhui 244021 CN
372 MOSAIC FERTILIZANTES BRAZIL AV. ROQUE PETRONI JUNIOR 999, 14° ANDAR BROOKLYN, CEP 04707-910 SAO PAULO, BRAZIL Sao Paulo CEP 04707-910 BR

2
Reference Data/python_project/loaders/backup/Purchase_Contracts.csv Normal file
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@@ -0,0 +1,2 @@
reference,party_code,currency_code,purchase_date,warehouse_code,payment_term,invoice_method,description,comment,state,line_type,line_product_code,line_quantity,line_unit_price,line_description,line_delivery_date
25026ABC,2869,USD,11/18/2025,,NET 30,order,Office Supplies Order,Urgent delivery required,draft,line,H2SO4,17000,100,Premium Notebooks,1/29/2026
1 reference party_code currency_code purchase_date warehouse_code payment_term invoice_method description comment state line_type line_product_code line_quantity line_unit_price line_description line_delivery_date
2 25026ABC 2869 USD 11/18/2025 NET 30 order Office Supplies Order Urgent delivery required draft line H2SO4 17000 100 Premium Notebooks 1/29/2026

78
Reference Data/python_project/loaders/backup/Purchase_Contracts_v2.csv Normal file
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@@ -0,0 +1,78 @@
number,reference,party_name,currency_code,purchase_date,payment_term,warehouse_code,wb,tol_min,tol_max,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,line_quantity,line_unit_code,line_unit_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date
1849,24976,ATLANTIC COPPER ,USD,11/1/2024,NET 30,,1,5,5,Huelva,Tampa,FOB,manual,,1849 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,95,19000 Mt of sulphuric acid - Tel-quel,4/15/2025,4/21/2025,bldate,4/15/2025
2050,25023,ATLANTIC COPPER ,USD,10/3/2025,NET 30,,1,5,5,Huelva,Huelva,CFR,manual,,2050 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,84.5,19000 Mt of sulphuric acid - Tel-quel,1/13/2026,1/19/2026,bldate,1/13/2026
1925,24988,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,1,5.26,5.26,Pori,,FOB,manual,,1925 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,84.57,19000 Mt of sulphuric acid - 100%,6/25/2025,7/4/2025,bldate,6/25/2025
1926,24997AB,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,1,5.26,5.26,Ronnskar,Beaumont,FOB,manual,,1926 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,88.91,19000 Mt of sulphuric acid - Tel-quel,8/22/2025,9/4/2025,bldate,9/3/2025
1928,25011ABCDE,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,1,5.26,5.26,Pori,Mejillones,FOB,manual,,1928 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,19000,Mt,63.49,19000 Mt of sulphuric acid - Tel-quel,11/16/2025,11/25/2025,bldate,11/16/2025
1929,25005,BOLIDEN HARJAVALTA OY,USD,12/20/2024,NET 30,,1,3.9,3.9,Ronnskar,Beaumont,FOB,manual,,1929 / H2SO4 FY 2025 / Default,line,H2SO4,19250,Mt,74.56,19250 Mt of sulphuric acid - Tel-quel,10/11/2025,10/20/2025,bldate,10/11/2025
2039,25015,BOLIDEN HARJAVALTA OY,USD,9/26/2025,NET 30,,1,5.26,5.26,Ronnskar,Beaumont,FOB,manual,,2039 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,65.83,19000 Mt of sulphuric acid - 100%,11/25/2025,12/4/2025,bldate,11/25/2025
1957,24981,HEXAGON GROUP AG,USD,3/21/2025,NET 30,,1,22.33,22.33,Rugao,Mejillones,CFR,manual,,1957 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,12875,Mt,156,12875 Mt of sulphuric acid - Tel-quel,4/28/2025,5/7/2025,bldate,5/1/2025
2047,25014,HEXAGON GROUP AG,USD,9/26/2025,NET 30,,1,5,5,Huelva,Tampa,CFR,manual,,2047 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,105.9,19000 Mt of sulphuric acid - Tel-quel,11/15/2025,11/20/2025,bldate,11/15/2025
2057,25012,HEXAGON GROUP AG,USD,10/27/2025,NET 30,,1,0,0,Antwerpen,Mejillones,CFR,manual,,2057 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,6000,Mt,159.59,6000 Mt of sulphuric acid - Tel-quel,11/10/2025,11/20/2025,bldate,11/10/2025
2038,STOLT COA MTM,INTERACID TRADING (CHILE) S.A.,USD,9/26/2025,NET 30,,1,0,0,,,,manual,,2038 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,0.01,Mt,0,0.01 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026
1876,24971AB,JINCHUAN,USD,12/5/2024,NET 30,,1,10,10,Fangcheng,Mejillones,FOB,manual,,1876 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,30000,Mt,40,30000 Mt of sulphuric acid - Tel-quel,4/13/2025,5/2/2025,bldate,4/13/2025
1877,24986ABC,JINCHUAN,USD,12/5/2024,NET 30,,1,10,10,Fangcheng,Mejillones,FOB,manual,,1877 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,30000,Mt,40,30000 Mt of sulphuric acid - Tel-quel,7/5/2025,7/16/2025,bldate,7/5/2025
1878,25020ABCD,JINCHUAN,USD,12/5/2024,NET 30,,1,0,0,Fangcheng,Mejillones,FOB,manual,,1878 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,27000,Mt,40,27000 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026
1904,24990AB,JINCHUAN,USD,12/16/2024,NET 30,,1,10,10,Fangcheng,Mejillones,FOB,manual,,1904 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,30000,Mt,35,30000 Mt of sulphuric acid - Tel-quel,9/10/2025,9/30/2025,bldate,9/10/2025
1956,25002,JINCHUAN,USD,3/19/2025,NET 30,,1,10,10,Fangcheng,Tuticorin,FOB,manual,,1956 / H2SO4 FY 2025 / Default,line,H2SO4,30000,Mt,35,30000 Mt of sulphuric acid - Tel-quel,10/10/2025,10/30/2025,bldate,10/26/2025
2151,25020E,JINCHUAN,USD,1/5/2026,NET 30,,1,33.36,33.36,Fangcheng,Mejillones,FOB,manual,,2151 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,4496.46,Mt,160,4496.46 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026
2157,25020D,JINCHUAN,USD,1/7/2026,NET 30,,1,0,0,Fangcheng,Mejillones,FOB,manual,,2157 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,3000,Mt,160,3000 Mt of sulphuric acid - Tel-quel,12/21/2025,1/4/2026,bldate,1/5/2026
1912,24975,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,10,10,Rugao,Isabel,FOB,manual,,1912 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,65.63,10000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/7/2025
1913,24987,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,0,10,YIZHENG,Gladstone,FOB,manual,,1913 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,73.5,10000 Mt of sulphuric acid - Tel-quel,6/8/2025,6/18/2025,bldate,6/8/2025
1914,24992,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,10,10,Rugao,Tuticorin,FOB,manual,,1914 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,86.5,10000 Mt of sulphuric acid - Tel-quel,7/18/2025,7/30/2025,bldate,7/18/2025
1915,24992,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,10,10,Rugao,Tuticorin,FOB,manual,,1915 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,91.19,10000 Mt of sulphuric acid - Tel-quel,7/18/2025,7/30/2025,bldate,7/18/2025
1916,25006,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,5,5,Rugao,Isabel,FOB,manual,,1916 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,91.81,10000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025
1917,25022A,"JINLONG COPPER CO., LTD",USD,12/17/2024,NET 30,,1,22.58,22.58,YIZHENG,Visakhapatnam,FOB,manual,,1917 / H2SO4 FY 2025 / Default,line,H2SO4,7750,Mt,77.31,7750 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025
2034,25022B,"JINLONG COPPER CO., LTD",USD,9/5/2025,NET 30,,1,10,10,YIZHENG,Kakinada,FOB,manual,,2034 / H2SO4 FY 2025 / Default,line,H2SO4,9500,Mt,114.29,9500 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025
2153,25022C,"JINLONG COPPER CO., LTD",USD,1/5/2026,NET 30,,1,4.76,4.76,YIZHENG,Kakinada,FOB,manual,,2153 / H2SO4 FY 2025 / Default,line,H2SO4,3674.89,Mt,77.31,3674.89 Mt of sulphuric acid - Tel-quel,12/29/2025,1/5/2026,bldate,12/29/2025
1866,24977,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,1,5.08,5.08,Callao,Mejillones,CIF,manual,,1866 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,14750,Mt,148.17,14750 Mt of sulphuric acid - Tel-quel,4/18/2025,4/28/2025,bldate,4/18/2025
1867,24991,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,1,5.08,5.08,Callao,Mejillones,CIF,manual,,1867 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,7/1/2025,7/10/2025,bldate,7/1/2025
1868,25000,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,1,5.08,5.08,Callao,Mejillones,CIF,manual,,1868 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,8/20/2025,8/30/2025,bldate,8/20/2025
1869,25016,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,12/2/2024,NET 30,,1,5.08,5.08,Callao,Mejillones,CIP,manual,,1869 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,14750,Mt,155,14750 Mt of sulphuric acid - Tel-quel,12/3/2025,12/13/2025,bldate,12/3/2025
1962,24973B,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,4/2/2025,NET 30,,1,0,0,Callao,Mejillones,CIF,manual,,1962 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,20,Mt,155,20 Mt of sulphuric acid - Tel-quel,3/20/2025,4/4/2025,bldate,4/3/2025
2085,25026ABC,NEXA RESOURCES CAJAMARQUILLA S.A.,USD,11/18/2025,NET 30,,1,5,5,Callao,Mejillones,CIF,manual,,2085 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,17000,Mt,171,17000 Mt of sulphuric acid - Tel-quel,1/29/2026,2/9/2026,bldate,1/29/2026
2084,25019A,"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",USD,11/17/2025,NET 30,,1,10,10,Taichung,Gladstone,FOB,manual,,2084 / H2SO4 FY 2025 / Default,line,H2SO4,7500,Mt,101,7500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025
2155,25019B,"PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD.",USD,1/6/2026,NET 30,,1,10,10,Taichung,Gladstone,FOB,manual,,2155 / H2SO4 FY 2025 / Default,line,H2SO4,2500,Mt,101,2500 Mt of sulphuric acid - Tel-quel,12/24/2025,1/2/2026,bldate,12/24/2025
2028,25004,SAS International LLC,USD,8/29/2025,NET 30,,1,5,5,Rugao,Mejillones,CFR,manual,,2028 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,7000,Mt,150,7000 Mt of sulphuric acid - Tel-quel,10/5/2025,10/14/2025,bldate,10/5/2025
2060,25017,SAS International LLC,USD,10/31/2025,NET 30,,1,5.26,5.26,Pori,Mejillones,CFR,manual,,2060 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,9500,Mt,165,9500 Mt of sulphuric acid - Tel-quel,12/15/2025,12/31/2025,bldate,12/15/2025
2130,25027,SAS International LLC,USD,12/22/2025,NET 30,,1,5,5,Ilo,Mejillones,CFR,manual,,2130 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,13500,Mt,184,13500 Mt of sulphuric acid - Tel-quel,2/15/2026,2/26/2026,bldate,2/15/2026
2093,Humon 2026 contract 1/4,"Shandong Xiangying Chemical Import and Export CO.,LTD.",USD,12/1/2025,NET 30,,1,10,10,Laizhou,,FOB,manual,,2093 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,32837.82,Mt,0,32837.8 Mt of sulphuric acid - Tel-quel,2/1/2026,2/28/2026,bldate,2/1/2026
1761,24972A,SUMITOMO CORPORATION - MMC,USD,5/15/2024,NET 30,,1,0,0,Onahama,Map Ta Phut,FOB,manual,,1761 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,33.36,5000 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025
1949,24972B,SUMITOMO CORPORATION - MMC,USD,2/26/2025,NET 30,,1,0,0,Onahama,Samut Prakan,FOB,manual,,1949 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,2700,Mt,33.36,2700 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025
1970,24982/B,SUMITOMO CORPORATION - MMC,USD,4/17/2025,NET 30,,1,0,0,Onahama,Samut Prakan,FOB,manual,,1970 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,2350,Mt,45.25,2350 Mt of sulphuric acid - Tel-quel,5/9/2025,5/16/2025,bldate,5/9/2025
1972,24982/A,SUMITOMO CORPORATION - MMC,USD,4/17/2025,NET 30,,1,0,0,Onahama,Map Ta Phut,FOB,manual,,1972 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,45.25,5000 Mt of sulphuric acid - Tel-quel,5/9/2025,5/16/2025,bldate,5/9/2025
1989,24998,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 30,,1,0,10,Onahama,LHOKSEUMAWE,FOB,manual,,1989 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,7000,Mt,64,7000 Mt of sulphuric acid - Tel-quel,8/21/2025,8/30/2025,bldate,8/21/2025
1991,25007A,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 30,,1,0,0,Naoshima,Map Ta Phut,FOB,manual,,1991 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,51,5000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025
1993,25013A,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 30,,1,0,0,Naoshima,Map Ta Phut,FOB,manual,,1993 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,55.2,5000 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025
1995,25024A,SUMITOMO CORPORATION - MMC,USD,7/2/2025,NET 30,,1,0,0,Naoshima,Map Ta Phut,FOB,manual,,1995 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,92,5000 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026
2043,25007B,SUMITOMO CORPORATION - MMC,USD,9/26/2025,NET 30,,1,20,20,Naoshima,Samut Prakan,FOB,manual,,2043 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,2000,Mt,51,2000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025
2044,25007C,SUMITOMO CORPORATION - MMC,USD,9/26/2025,NET 30,,1,0,0,Naoshima,Samut Prakan,FOB,manual,,2044 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,1000,Mt,51,1000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/7/2025,bldate,10/1/2025
2053,25018,SUMITOMO CORPORATION - MMC,USD,10/16/2025,NET 30,,1,10,10,Naoshima,Stockton,FOB,manual,,2053 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,63,19000 Mt of sulphuric acid - Tel-quel,12/15/2025,12/24/2025,bldate,12/20/2025
2058,25013B,SUMITOMO CORPORATION - MMC,USD,10/29/2025,NET 30,,1,0,0,Naoshima,Samut Prakan,FOB,manual,,2058 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,3600,Mt,55.2,3600 Mt of sulphuric acid - Tel-quel,11/21/2025,12/3/2025,bldate,11/21/2025
2097,25024B,SUMITOMO CORPORATION - MMC,USD,12/3/2025,NET 30,,1,0,0,Naoshima,Samut Prakan,FOB,manual,,2097 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,1899.67,Mt,55.2,1899.67 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026
2105,25024C,SUMITOMO CORPORATION - MMC,USD,12/4/2025,NET 30,,1,0,0,Naoshima,Samut Prakan,FOB,manual,,2105 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,3600,Mt,45,3600 Mt of sulphuric acid - Tel-quel,1/15/2026,1/24/2026,bldate,1/15/2026
2107,MMC FEB LXML ,SUMITOMO CORPORATION - MMC,USD,12/5/2025,NET 30,,1,0,0,,Samut Prakan,FOB,manual,,2107 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,2000,Mt,0,2000 Mt of sulphuric acid - Tel-quel,2/1/2026,2/28/2026,bldate,2/1/2026
2109,MMC MAR LXML ,SUMITOMO CORPORATION - MMC,USD,12/5/2025,NET 30,,1,0,0,,Samut Prakan,FOB,manual,,2109 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,1700,Mt,0,1700 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026
2131,MMC - Feb shipment ,SUMITOMO CORPORATION - MMC,USD,12/29/2025,NET 30,,1,0,0,,Map Ta Phut,FOB,manual,,2131 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,3500,Mt,0,3500 Mt of sulphuric acid - Tel-quel,2/10/2026,2/28/2026,bldate,2/10/2026
1881,24970,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,1881 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/1/2025
1883,24979,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,1883 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,5/18/2025,5/31/2025,bldate,5/18/2025
1885,24985,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,1885 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,37,20000 Mt of sulphuric acid - Tel-quel,6/15/2025,6/30/2025,bldate,6/17/2025
1887,24996,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Hibi,Stockton,FOB,manual,,1887 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,8/15/2025,8/29/2025,bldate,8/15/2025
1889,24989,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Hibi,Stockton,FOB,manual,,1889 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,7/12/2025,7/25/2025,bldate,7/12/2025
1891,24999,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Hibi,Stockton,FOB,manual,,1891 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,34,20000 Mt of sulphuric acid - Tel-quel,9/7/2025,9/22/2025,bldate,9/7/2025
1893,25003,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,1893 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,72,20000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/15/2025,bldate,10/1/2025
1895,25008,SUMITOMO CORPORATION - PPC,USD,12/5/2024,NET 30,,1,10,10,Hibi,Stockton,FOB,manual,,1895 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,64,20000 Mt of sulphuric acid - Tel-quel,11/1/2025,11/30/2025,bldate,11/1/2025
1933,24984,SUMITOMO CORPORATION - PPC,USD,1/6/2025,NET 30,,1,10,10,Saganoseki,Tuticorin,FOB,manual,,1933 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,42,20000 Mt of sulphuric acid - Tel-quel,6/9/2025,6/19/2025,bldate,6/12/2025
2122,25021,SUMITOMO CORPORATION - PPC,USD,12/10/2025,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,2122 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,71,20000 Mt of sulphuric acid - Tel-quel,1/7/2026,1/21/2026,bldate,1/7/2026
2124,25025,SUMITOMO CORPORATION - PPC,USD,12/18/2025,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,2124 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,71,20000 Mt of sulphuric acid - Tel-quel,1/30/2026,2/13/2026,bldate,1/30/2026
2126,PPC 2026 Stockton contract 03/12,SUMITOMO CORPORATION - PPC,USD,12/18/2025,NET 30,,1,10,10,Saganoseki,Stockton,FOB,manual,,2126 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,0,20000 Mt of sulphuric acid - Tel-quel,3/1/2026,3/31/2026,bldate,3/1/2026
1919,24980ABC,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET 30,,1,10,10,YIZHENG,Mejillones,FOB,manual,,1919 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,30000,Mt,73.63,30000 Mt of sulphuric acid - Tel-quel,5/30/2025,6/15/2025,bldate,6/2/2025
1920,24994,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET 30,,1,10,10,YIZHENG,Tuticorin,FOB,manual,,1920 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,92.94,20000 Mt of sulphuric acid - Tel-quel,8/16/2025,8/28/2025,bldate,8/16/2025
1921,25001ABCD,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,12/17/2024,NET 30,,1,10,10,Rugao,Mejillones,FOB,manual,,1921 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,30000,Mt,73.125,30000 Mt of sulphuric acid - Tel-quel,10/1/2025,10/20/2025,bldate,10/1/2025
1937,24983,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,1/10/2025,NET 30,,1,3.3,3.3,YIZHENG,,FOB,manual,,1937 / H2SO4 FY 2025 / Default,line,H2SO4,11375,Mt,72.19,11375 Mt of sulphuric acid - Tel-quel,5/15/2025,5/25/2025,bldate,5/15/2025
1987,25009,TONGLING NONFERROUS METALS GROUP CO. LTD,USD,6/24/2025,NET 30,,1,10,10,Rugao,LHOKSEUMAWE,FOB,manual,,1987 / H2SO4 FY 2025 / Default,line,H2SO4,8000,Mt,77.31,8000 Mt of sulphuric acid - Tel-quel,11/5/2025,11/11/2025,bldate,11/5/2025
1944,24974AB,"TRICON ENERGY, LTD",USD,1/31/2025,NET 30,,1,10.71,10.71,Ilo,Mejillones,CFR,manual,,1944 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,14000,Mt,145.75,14000 Mt of sulphuric acid - Tel-quel,5/5/2025,5/11/2025,bldate,5/5/2025
1959,24978,"TRICON ENERGY, LTD",USD,3/28/2025,NET 30,,1,10,10,Bandirma,Beaumont,CFR,manual,,1959 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,138.9,19000 Mt of sulphuric acid - Tel-quel,4/28/2025,5/8/2025,bldate,5/1/2025
1986,24993,"TRICON ENERGY, LTD",USD,6/19/2025,NET 30,,1,10,10,Onsan,Mejillones,CFR,manual,,1986 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,5500,Mt,169,5500 Mt of sulphuric acid - Tel-quel,8/7/2025,8/15/2025,bldate,8/7/2025
2001,24995,"TRICON ENERGY, LTD",USD,7/11/2025,NET 30,,1,22.22,22.22,Zhangjiagang,Mejillones,CFR,manual,,2001 / H2SO4 FY 2025 / Chile FY25,line,H2SO4,4500,Mt,171,4500 Mt of sulphuric acid - Tel-quel,8/19/2025,8/26/2025,bldate,8/19/2025
2040,25010,"TRICON ENERGY, LTD",USD,9/26/2025,NET 30,,1,5,5,Bandirma,Tampa,CFR,manual,,2040 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,102,19000 Mt of sulphuric acid - Tel-quel,10/15/2025,10/25/2025,bldate,10/15/2025
1 number reference party_name currency_code purchase_date payment_term warehouse_code wb tol_min tol_max from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code line_quantity line_unit_code line_unit_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date
2 1849 24976 ATLANTIC COPPER USD 11/1/2024 NET 30 1 5 5 Huelva Tampa FOB manual 1849 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 95 19000 Mt of sulphuric acid - Tel-quel 4/15/2025 4/21/2025 bldate 4/15/2025
3 2050 25023 ATLANTIC COPPER USD 10/3/2025 NET 30 1 5 5 Huelva Huelva CFR manual 2050 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 84.5 19000 Mt of sulphuric acid - Tel-quel 1/13/2026 1/19/2026 bldate 1/13/2026
4 1925 24988 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 1 5.26 5.26 Pori FOB manual 1925 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 84.57 19000 Mt of sulphuric acid - 100% 6/25/2025 7/4/2025 bldate 6/25/2025
5 1926 24997AB BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 1 5.26 5.26 Ronnskar Beaumont FOB manual 1926 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 88.91 19000 Mt of sulphuric acid - Tel-quel 8/22/2025 9/4/2025 bldate 9/3/2025
6 1928 25011ABCDE BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 1 5.26 5.26 Pori Mejillones FOB manual 1928 / H2SO4 FY 2025 / Chile FY25 line H2SO4 19000 Mt 63.49 19000 Mt of sulphuric acid - Tel-quel 11/16/2025 11/25/2025 bldate 11/16/2025
7 1929 25005 BOLIDEN HARJAVALTA OY USD 12/20/2024 NET 30 1 3.9 3.9 Ronnskar Beaumont FOB manual 1929 / H2SO4 FY 2025 / Default line H2SO4 19250 Mt 74.56 19250 Mt of sulphuric acid - Tel-quel 10/11/2025 10/20/2025 bldate 10/11/2025
8 2039 25015 BOLIDEN HARJAVALTA OY USD 9/26/2025 NET 30 1 5.26 5.26 Ronnskar Beaumont FOB manual 2039 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 65.83 19000 Mt of sulphuric acid - 100% 11/25/2025 12/4/2025 bldate 11/25/2025
9 1957 24981 HEXAGON GROUP AG USD 3/21/2025 NET 30 1 22.33 22.33 Rugao Mejillones CFR manual 1957 / H2SO4 FY 2025 / Chile FY25 line H2SO4 12875 Mt 156 12875 Mt of sulphuric acid - Tel-quel 4/28/2025 5/7/2025 bldate 5/1/2025
10 2047 25014 HEXAGON GROUP AG USD 9/26/2025 NET 30 1 5 5 Huelva Tampa CFR manual 2047 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 105.9 19000 Mt of sulphuric acid - Tel-quel 11/15/2025 11/20/2025 bldate 11/15/2025
11 2057 25012 HEXAGON GROUP AG USD 10/27/2025 NET 30 1 0 0 Antwerpen Mejillones CFR manual 2057 / H2SO4 FY 2025 / Chile FY25 line H2SO4 6000 Mt 159.59 6000 Mt of sulphuric acid - Tel-quel 11/10/2025 11/20/2025 bldate 11/10/2025
12 2038 STOLT COA MTM INTERACID TRADING (CHILE) S.A. USD 9/26/2025 NET 30 1 0 0 manual 2038 / H2SO4 FY 2025 / Chile FY25 line H2SO4 0.01 Mt 0 0.01 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026
13 1876 24971AB JINCHUAN USD 12/5/2024 NET 30 1 10 10 Fangcheng Mejillones FOB manual 1876 / H2SO4 FY 2025 / Chile FY25 line H2SO4 30000 Mt 40 30000 Mt of sulphuric acid - Tel-quel 4/13/2025 5/2/2025 bldate 4/13/2025
14 1877 24986ABC JINCHUAN USD 12/5/2024 NET 30 1 10 10 Fangcheng Mejillones FOB manual 1877 / H2SO4 FY 2025 / Chile FY25 line H2SO4 30000 Mt 40 30000 Mt of sulphuric acid - Tel-quel 7/5/2025 7/16/2025 bldate 7/5/2025
15 1878 25020ABCD JINCHUAN USD 12/5/2024 NET 30 1 0 0 Fangcheng Mejillones FOB manual 1878 / H2SO4 FY 2025 / Chile FY25 line H2SO4 27000 Mt 40 27000 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026
16 1904 24990AB JINCHUAN USD 12/16/2024 NET 30 1 10 10 Fangcheng Mejillones FOB manual 1904 / H2SO4 FY 2025 / Chile FY25 line H2SO4 30000 Mt 35 30000 Mt of sulphuric acid - Tel-quel 9/10/2025 9/30/2025 bldate 9/10/2025
17 1956 25002 JINCHUAN USD 3/19/2025 NET 30 1 10 10 Fangcheng Tuticorin FOB manual 1956 / H2SO4 FY 2025 / Default line H2SO4 30000 Mt 35 30000 Mt of sulphuric acid - Tel-quel 10/10/2025 10/30/2025 bldate 10/26/2025
18 2151 25020E JINCHUAN USD 1/5/2026 NET 30 1 33.36 33.36 Fangcheng Mejillones FOB manual 2151 / H2SO4 FY 2025 / Chile FY25 line H2SO4 4496.46 Mt 160 4496.46 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026
19 2157 25020D JINCHUAN USD 1/7/2026 NET 30 1 0 0 Fangcheng Mejillones FOB manual 2157 / H2SO4 FY 2025 / Chile FY25 line H2SO4 3000 Mt 160 3000 Mt of sulphuric acid - Tel-quel 12/21/2025 1/4/2026 bldate 1/5/2026
20 1912 24975 JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 10 10 Rugao Isabel FOB manual 1912 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 65.63 10000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/7/2025
21 1913 24987 JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 0 10 YIZHENG Gladstone FOB manual 1913 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 73.5 10000 Mt of sulphuric acid - Tel-quel 6/8/2025 6/18/2025 bldate 6/8/2025
22 1914 24992 JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 10 10 Rugao Tuticorin FOB manual 1914 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 86.5 10000 Mt of sulphuric acid - Tel-quel 7/18/2025 7/30/2025 bldate 7/18/2025
23 1915 24992 JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 10 10 Rugao Tuticorin FOB manual 1915 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 91.19 10000 Mt of sulphuric acid - Tel-quel 7/18/2025 7/30/2025 bldate 7/18/2025
24 1916 25006 JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 5 5 Rugao Isabel FOB manual 1916 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 91.81 10000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025
25 1917 25022A JINLONG COPPER CO., LTD USD 12/17/2024 NET 30 1 22.58 22.58 YIZHENG Visakhapatnam FOB manual 1917 / H2SO4 FY 2025 / Default line H2SO4 7750 Mt 77.31 7750 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025
26 2034 25022B JINLONG COPPER CO., LTD USD 9/5/2025 NET 30 1 10 10 YIZHENG Kakinada FOB manual 2034 / H2SO4 FY 2025 / Default line H2SO4 9500 Mt 114.29 9500 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025
27 2153 25022C JINLONG COPPER CO., LTD USD 1/5/2026 NET 30 1 4.76 4.76 YIZHENG Kakinada FOB manual 2153 / H2SO4 FY 2025 / Default line H2SO4 3674.89 Mt 77.31 3674.89 Mt of sulphuric acid - Tel-quel 12/29/2025 1/5/2026 bldate 12/29/2025
28 1866 24977 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 1 5.08 5.08 Callao Mejillones CIF manual 1866 / H2SO4 FY 2025 / Chile FY25 line H2SO4 14750 Mt 148.17 14750 Mt of sulphuric acid - Tel-quel 4/18/2025 4/28/2025 bldate 4/18/2025
29 1867 24991 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 1 5.08 5.08 Callao Mejillones CIF manual 1867 / H2SO4 FY 2025 / Chile FY25 line H2SO4 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 7/1/2025 7/10/2025 bldate 7/1/2025
30 1868 25000 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 1 5.08 5.08 Callao Mejillones CIF manual 1868 / H2SO4 FY 2025 / Chile FY25 line H2SO4 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 8/20/2025 8/30/2025 bldate 8/20/2025
31 1869 25016 NEXA RESOURCES CAJAMARQUILLA S.A. USD 12/2/2024 NET 30 1 5.08 5.08 Callao Mejillones CIP manual 1869 / H2SO4 FY 2025 / Chile FY25 line H2SO4 14750 Mt 155 14750 Mt of sulphuric acid - Tel-quel 12/3/2025 12/13/2025 bldate 12/3/2025
32 1962 24973B NEXA RESOURCES CAJAMARQUILLA S.A. USD 4/2/2025 NET 30 1 0 0 Callao Mejillones CIF manual 1962 / H2SO4 FY 2025 / Chile FY25 line H2SO4 20 Mt 155 20 Mt of sulphuric acid - Tel-quel 3/20/2025 4/4/2025 bldate 4/3/2025
33 2085 25026ABC NEXA RESOURCES CAJAMARQUILLA S.A. USD 11/18/2025 NET 30 1 5 5 Callao Mejillones CIF manual 2085 / H2SO4 FY 2025 / Chile FY25 line H2SO4 17000 Mt 171 17000 Mt of sulphuric acid - Tel-quel 1/29/2026 2/9/2026 bldate 1/29/2026
34 2084 25019A PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. USD 11/17/2025 NET 30 1 10 10 Taichung Gladstone FOB manual 2084 / H2SO4 FY 2025 / Default line H2SO4 7500 Mt 101 7500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025
35 2155 25019B PEIFENG TECHNOLOGY & FERTILIZERS CO., LTD. USD 1/6/2026 NET 30 1 10 10 Taichung Gladstone FOB manual 2155 / H2SO4 FY 2025 / Default line H2SO4 2500 Mt 101 2500 Mt of sulphuric acid - Tel-quel 12/24/2025 1/2/2026 bldate 12/24/2025
36 2028 25004 SAS International LLC USD 8/29/2025 NET 30 1 5 5 Rugao Mejillones CFR manual 2028 / H2SO4 FY 2025 / Chile FY25 line H2SO4 7000 Mt 150 7000 Mt of sulphuric acid - Tel-quel 10/5/2025 10/14/2025 bldate 10/5/2025
37 2060 25017 SAS International LLC USD 10/31/2025 NET 30 1 5.26 5.26 Pori Mejillones CFR manual 2060 / H2SO4 FY 2025 / Chile FY25 line H2SO4 9500 Mt 165 9500 Mt of sulphuric acid - Tel-quel 12/15/2025 12/31/2025 bldate 12/15/2025
38 2130 25027 SAS International LLC USD 12/22/2025 NET 30 1 5 5 Ilo Mejillones CFR manual 2130 / H2SO4 FY 2025 / Chile FY25 line H2SO4 13500 Mt 184 13500 Mt of sulphuric acid - Tel-quel 2/15/2026 2/26/2026 bldate 2/15/2026
39 2093 Humon 2026 contract 1/4 Shandong Xiangying Chemical Import and Export CO.,LTD. USD 12/1/2025 NET 30 1 10 10 Laizhou FOB manual 2093 / H2SO4 FY 2025 / Chile FY25 line H2SO4 32837.82 Mt 0 32837.8 Mt of sulphuric acid - Tel-quel 2/1/2026 2/28/2026 bldate 2/1/2026
40 1761 24972A SUMITOMO CORPORATION - MMC USD 5/15/2024 NET 30 1 0 0 Onahama Map Ta Phut FOB manual 1761 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 33.36 5000 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025
41 1949 24972B SUMITOMO CORPORATION - MMC USD 2/26/2025 NET 30 1 0 0 Onahama Samut Prakan FOB manual 1949 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 2700 Mt 33.36 2700 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025
42 1970 24982/B SUMITOMO CORPORATION - MMC USD 4/17/2025 NET 30 1 0 0 Onahama Samut Prakan FOB manual 1970 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 2350 Mt 45.25 2350 Mt of sulphuric acid - Tel-quel 5/9/2025 5/16/2025 bldate 5/9/2025
43 1972 24982/A SUMITOMO CORPORATION - MMC USD 4/17/2025 NET 30 1 0 0 Onahama Map Ta Phut FOB manual 1972 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 45.25 5000 Mt of sulphuric acid - Tel-quel 5/9/2025 5/16/2025 bldate 5/9/2025
44 1989 24998 SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 30 1 0 10 Onahama LHOKSEUMAWE FOB manual 1989 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 7000 Mt 64 7000 Mt of sulphuric acid - Tel-quel 8/21/2025 8/30/2025 bldate 8/21/2025
45 1991 25007A SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 30 1 0 0 Naoshima Map Ta Phut FOB manual 1991 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 51 5000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025
46 1993 25013A SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 30 1 0 0 Naoshima Map Ta Phut FOB manual 1993 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 55.2 5000 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025
47 1995 25024A SUMITOMO CORPORATION - MMC USD 7/2/2025 NET 30 1 0 0 Naoshima Map Ta Phut FOB manual 1995 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 92 5000 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026
48 2043 25007B SUMITOMO CORPORATION - MMC USD 9/26/2025 NET 30 1 20 20 Naoshima Samut Prakan FOB manual 2043 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 2000 Mt 51 2000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025
49 2044 25007C SUMITOMO CORPORATION - MMC USD 9/26/2025 NET 30 1 0 0 Naoshima Samut Prakan FOB manual 2044 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 1000 Mt 51 1000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/7/2025 bldate 10/1/2025
50 2053 25018 SUMITOMO CORPORATION - MMC USD 10/16/2025 NET 30 1 10 10 Naoshima Stockton FOB manual 2053 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 63 19000 Mt of sulphuric acid - Tel-quel 12/15/2025 12/24/2025 bldate 12/20/2025
51 2058 25013B SUMITOMO CORPORATION - MMC USD 10/29/2025 NET 30 1 0 0 Naoshima Samut Prakan FOB manual 2058 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 3600 Mt 55.2 3600 Mt of sulphuric acid - Tel-quel 11/21/2025 12/3/2025 bldate 11/21/2025
52 2097 25024B SUMITOMO CORPORATION - MMC USD 12/3/2025 NET 30 1 0 0 Naoshima Samut Prakan FOB manual 2097 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 1899.67 Mt 55.2 1899.67 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026
53 2105 25024C SUMITOMO CORPORATION - MMC USD 12/4/2025 NET 30 1 0 0 Naoshima Samut Prakan FOB manual 2105 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 3600 Mt 45 3600 Mt of sulphuric acid - Tel-quel 1/15/2026 1/24/2026 bldate 1/15/2026
54 2107 MMC FEB LXML SUMITOMO CORPORATION - MMC USD 12/5/2025 NET 30 1 0 0 Samut Prakan FOB manual 2107 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 2000 Mt 0 2000 Mt of sulphuric acid - Tel-quel 2/1/2026 2/28/2026 bldate 2/1/2026
55 2109 MMC MAR LXML SUMITOMO CORPORATION - MMC USD 12/5/2025 NET 30 1 0 0 Samut Prakan FOB manual 2109 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 1700 Mt 0 1700 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026
56 2131 MMC - Feb shipment SUMITOMO CORPORATION - MMC USD 12/29/2025 NET 30 1 0 0 Map Ta Phut FOB manual 2131 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 3500 Mt 0 3500 Mt of sulphuric acid - Tel-quel 2/10/2026 2/28/2026 bldate 2/10/2026
57 1881 24970 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Saganoseki Stockton FOB manual 1881 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/1/2025
58 1883 24979 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Saganoseki Stockton FOB manual 1883 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 5/18/2025 5/31/2025 bldate 5/18/2025
59 1885 24985 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Saganoseki Stockton FOB manual 1885 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 37 20000 Mt of sulphuric acid - Tel-quel 6/15/2025 6/30/2025 bldate 6/17/2025
60 1887 24996 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Hibi Stockton FOB manual 1887 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 8/15/2025 8/29/2025 bldate 8/15/2025
61 1889 24989 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Hibi Stockton FOB manual 1889 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 7/12/2025 7/25/2025 bldate 7/12/2025
62 1891 24999 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Hibi Stockton FOB manual 1891 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 34 20000 Mt of sulphuric acid - Tel-quel 9/7/2025 9/22/2025 bldate 9/7/2025
63 1893 25003 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Saganoseki Stockton FOB manual 1893 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 72 20000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/15/2025 bldate 10/1/2025
64 1895 25008 SUMITOMO CORPORATION - PPC USD 12/5/2024 NET 30 1 10 10 Hibi Stockton FOB manual 1895 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 64 20000 Mt of sulphuric acid - Tel-quel 11/1/2025 11/30/2025 bldate 11/1/2025
65 1933 24984 SUMITOMO CORPORATION - PPC USD 1/6/2025 NET 30 1 10 10 Saganoseki Tuticorin FOB manual 1933 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 42 20000 Mt of sulphuric acid - Tel-quel 6/9/2025 6/19/2025 bldate 6/12/2025
66 2122 25021 SUMITOMO CORPORATION - PPC USD 12/10/2025 NET 30 1 10 10 Saganoseki Stockton FOB manual 2122 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 71 20000 Mt of sulphuric acid - Tel-quel 1/7/2026 1/21/2026 bldate 1/7/2026
67 2124 25025 SUMITOMO CORPORATION - PPC USD 12/18/2025 NET 30 1 10 10 Saganoseki Stockton FOB manual 2124 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 71 20000 Mt of sulphuric acid - Tel-quel 1/30/2026 2/13/2026 bldate 1/30/2026
68 2126 PPC 2026 Stockton contract 03/12 SUMITOMO CORPORATION - PPC USD 12/18/2025 NET 30 1 10 10 Saganoseki Stockton FOB manual 2126 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 0 20000 Mt of sulphuric acid - Tel-quel 3/1/2026 3/31/2026 bldate 3/1/2026
69 1919 24980ABC TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET 30 1 10 10 YIZHENG Mejillones FOB manual 1919 / H2SO4 FY 2025 / Chile FY25 line H2SO4 30000 Mt 73.63 30000 Mt of sulphuric acid - Tel-quel 5/30/2025 6/15/2025 bldate 6/2/2025
70 1920 24994 TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET 30 1 10 10 YIZHENG Tuticorin FOB manual 1920 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 92.94 20000 Mt of sulphuric acid - Tel-quel 8/16/2025 8/28/2025 bldate 8/16/2025
71 1921 25001ABCD TONGLING NONFERROUS METALS GROUP CO. LTD USD 12/17/2024 NET 30 1 10 10 Rugao Mejillones FOB manual 1921 / H2SO4 FY 2025 / Chile FY25 line H2SO4 30000 Mt 73.125 30000 Mt of sulphuric acid - Tel-quel 10/1/2025 10/20/2025 bldate 10/1/2025
72 1937 24983 TONGLING NONFERROUS METALS GROUP CO. LTD USD 1/10/2025 NET 30 1 3.3 3.3 YIZHENG FOB manual 1937 / H2SO4 FY 2025 / Default line H2SO4 11375 Mt 72.19 11375 Mt of sulphuric acid - Tel-quel 5/15/2025 5/25/2025 bldate 5/15/2025
73 1987 25009 TONGLING NONFERROUS METALS GROUP CO. LTD USD 6/24/2025 NET 30 1 10 10 Rugao LHOKSEUMAWE FOB manual 1987 / H2SO4 FY 2025 / Default line H2SO4 8000 Mt 77.31 8000 Mt of sulphuric acid - Tel-quel 11/5/2025 11/11/2025 bldate 11/5/2025
74 1944 24974AB TRICON ENERGY, LTD USD 1/31/2025 NET 30 1 10.71 10.71 Ilo Mejillones CFR manual 1944 / H2SO4 FY 2025 / Chile FY25 line H2SO4 14000 Mt 145.75 14000 Mt of sulphuric acid - Tel-quel 5/5/2025 5/11/2025 bldate 5/5/2025
75 1959 24978 TRICON ENERGY, LTD USD 3/28/2025 NET 30 1 10 10 Bandirma Beaumont CFR manual 1959 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 138.9 19000 Mt of sulphuric acid - Tel-quel 4/28/2025 5/8/2025 bldate 5/1/2025
76 1986 24993 TRICON ENERGY, LTD USD 6/19/2025 NET 30 1 10 10 Onsan Mejillones CFR manual 1986 / H2SO4 FY 2025 / Chile FY25 line H2SO4 5500 Mt 169 5500 Mt of sulphuric acid - Tel-quel 8/7/2025 8/15/2025 bldate 8/7/2025
77 2001 24995 TRICON ENERGY, LTD USD 7/11/2025 NET 30 1 22.22 22.22 Zhangjiagang Mejillones CFR manual 2001 / H2SO4 FY 2025 / Chile FY25 line H2SO4 4500 Mt 171 4500 Mt of sulphuric acid - Tel-quel 8/19/2025 8/26/2025 bldate 8/19/2025
78 2040 25010 TRICON ENERGY, LTD USD 9/26/2025 NET 30 1 5 5 Bandirma Tampa CFR manual 2040 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 102 19000 Mt of sulphuric acid - Tel-quel 10/15/2025 10/25/2025 bldate 10/15/2025

3
Reference Data/python_project/loaders/backup/Purchase_Contracts_with_mapping.csv Normal file
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source_id,source_line_id,number,reference,party_name,currency_code,purchase_date,payment_term,warehouse_code,weight_basis,tol_min,tol_max,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,line_quantity,line_unit_code,line_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date
C00E4A1E-4743-4C73-8F92-FEA123D2DCCE,C00E4A1E-4743-4C73-8F92-FEA123D2DCCE,1761,24972A,SUMITOMO CORPORATION - MMC,USD,5/15/2024,NET 30,,NCSW,0,0,Onahama,Map Ta Phut,FOB,manual,,1761 / H2SO4 FY 2025 / Thailand FY25,line,H2SO4,5000,Mt,33.36,5000 Mt of sulphuric acid - Tel-quel,3/20/2025,4/2/2025,bldate,4/2/2025
A65BA960-E7EC-44FD-A945-8554C8D9B89B,A65BA960-E7EC-44FD-A945-8554C8D9B89B,1849,24976,ATLANTIC COPPER ,USD,11/1/2024,NET 30,,NCSW,5,5,Huelva,Tampa,FOB,manual,,1849 / H2SO4 FY 2025 / Default,line,H2SO4,19000,Mt,95,19000 Mt of sulphuric acid - Tel-quel,4/15/2025,4/21/2025,bldate,4/15/2025
1 source_id source_line_id number reference party_name currency_code purchase_date payment_term warehouse_code weight_basis tol_min tol_max from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code line_quantity line_unit_code line_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date
2 C00E4A1E-4743-4C73-8F92-FEA123D2DCCE C00E4A1E-4743-4C73-8F92-FEA123D2DCCE 1761 24972A SUMITOMO CORPORATION - MMC USD 5/15/2024 NET 30 NCSW 0 0 Onahama Map Ta Phut FOB manual 1761 / H2SO4 FY 2025 / Thailand FY25 line H2SO4 5000 Mt 33.36 5000 Mt of sulphuric acid - Tel-quel 3/20/2025 4/2/2025 bldate 4/2/2025
3 A65BA960-E7EC-44FD-A945-8554C8D9B89B A65BA960-E7EC-44FD-A945-8554C8D9B89B 1849 24976 ATLANTIC COPPER USD 11/1/2024 NET 30 NCSW 5 5 Huelva Tampa FOB manual 1849 / H2SO4 FY 2025 / Default line H2SO4 19000 Mt 95 19000 Mt of sulphuric acid - Tel-quel 4/15/2025 4/21/2025 bldate 4/15/2025

6
Reference Data/python_project/loaders/backup/Purchase_Fees.csv Normal file
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contract_number,contract_ref,line_sequence,product,supplier,currency,p_r,mode,price,unit
1881,24970,1,Maritime Freight,MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,USD,PAY,Per qt,74.5,MT
1881,24970,1,Profit sharing,SUMITOMO CORPORATION - PPC,USD,PAY,Per qt,0.5,MT
1881,24970,1,BAF,MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE,USD,REC,Per qt,2.43,MT
1881,24970,1,Finance,TBD Supplier,USD,PAY,Per qt,0.25,MT
1881,24970,1,P&I charterer's liability,FILHET - ALLARD MARITIME,USD,PAY,Per qt,0.06,MT
1 contract_number contract_ref line_sequence product supplier currency p_r mode price unit
2 1881 24970 1 Maritime Freight MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE USD PAY Per qt 74.5 MT
3 1881 24970 1 Profit sharing SUMITOMO CORPORATION - PPC USD PAY Per qt 0.5 MT
4 1881 24970 1 BAF MOL CHEMICAL TANKERS PTE. LTD. OF SINGAPORE USD REC Per qt 2.43 MT
5 1881 24970 1 Finance TBD Supplier USD PAY Per qt 0.25 MT
6 1881 24970 1 P&I charterer's liability FILHET - ALLARD MARITIME USD PAY Per qt 0.06 MT

3
Reference Data/python_project/loaders/backup/Sale_Contracts.csv Normal file
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number,reference,party_name,currency_code,sale_date,payment_term,warehouse_code,wb,tol_min,tol_max,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,line_quantity,line_unit_code,line_unit_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date
1882,24970,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,Saganoseki,Stockton,CFR,manual,,1882 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,112.07,20000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/1/2025
1955,24975,"Agrifields DMCC, Dubai",USD,3/19/2025,NET 30,,NCSW,10,10,Rugao,Isabel,CIF,manual,,1955 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,98.5,10000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/7/2025
1 number reference party_name currency_code sale_date payment_term warehouse_code wb tol_min tol_max from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code line_quantity line_unit_code line_unit_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date
2 1882 24970 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 Saganoseki Stockton CFR manual 1882 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 112.07 20000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/1/2025
3 1955 24975 Agrifields DMCC, Dubai USD 3/19/2025 NET 30 NCSW 10 10 Rugao Isabel CIF manual 1955 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 98.5 10000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/7/2025

3
Reference Data/python_project/loaders/backup/Sale_Contracts_with_mapping.csv Normal file
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source_id,source_line_id,number,reference,party_name,currency_code,sale_date,payment_term,warehouse_code,weight_basis,tol_min,tol_max,from_location_name,to_location_name,incoterm_name,invoice_method,description,comment,line_type,line_product_code,line_quantity,line_unit_code,line_price,line_description,line_from_del,line_to_del,pricing_trigger,pricing_estimated_date
8A8829E9-FDFC-4313-A2ED-2247AE21DF9E,8A8829E9-FDFC-4313-A2ED-2247AE21DF9E,1882,24970,"INTERACID NORTH AMERICA, INC (Stockton)",USD,12/5/2024,NET 30,,NCSW,10,10,Saganoseki,Stockton,CFR,manual,,1882 / H2SO4 FY 2025 / Default,line,H2SO4,20000,Mt,112.07,20000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/1/2025
31E490C4-9FDC-49FA-8FC6-BE2492F40E8F,31E490C4-9FDC-49FA-8FC6-BE2492F40E8F,1955,24975,"Agrifields DMCC, Dubai",USD,3/19/2025,NET 30,,NCSW,10,10,Rugao,Isabel,CIF,manual,,1955 / H2SO4 FY 2025 / Default,line,H2SO4,10000,Mt,98.5,10000 Mt of sulphuric acid - Tel-quel,4/1/2025,4/15/2025,bldate,4/7/2025
1 source_id source_line_id number reference party_name currency_code sale_date payment_term warehouse_code weight_basis tol_min tol_max from_location_name to_location_name incoterm_name invoice_method description comment line_type line_product_code line_quantity line_unit_code line_price line_description line_from_del line_to_del pricing_trigger pricing_estimated_date
2 8A8829E9-FDFC-4313-A2ED-2247AE21DF9E 8A8829E9-FDFC-4313-A2ED-2247AE21DF9E 1882 24970 INTERACID NORTH AMERICA, INC (Stockton) USD 12/5/2024 NET 30 NCSW 10 10 Saganoseki Stockton CFR manual 1882 / H2SO4 FY 2025 / Default line H2SO4 20000 Mt 112.07 20000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/1/2025
3 31E490C4-9FDC-49FA-8FC6-BE2492F40E8F 31E490C4-9FDC-49FA-8FC6-BE2492F40E8F 1955 24975 Agrifields DMCC, Dubai USD 3/19/2025 NET 30 NCSW 10 10 Rugao Isabel CIF manual 1955 / H2SO4 FY 2025 / Default line H2SO4 10000 Mt 98.5 10000 Mt of sulphuric acid - Tel-quel 4/1/2025 4/15/2025 bldate 4/7/2025

41
Reference Data/python_project/loaders/backup/Services.csv Normal file
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code,name,category,uom,sale_price,cost_price,description
SWAP,SWAP,SERVICES,Mt,0,0,
Time Charter Hire,Time Charter Hire,SERVICES,Mt,0,0,
Paper allocation,Paper allocation,SERVICES,Mt,0,0,
FX Difference,FX Difference,SERVICES,Mt,0,0,
Freight Commission,Freight Commission,SERVICES,Mt,0,0,
CFD,CFD,SERVICES,Mt,0,0,
Deal Expense,Invoice Validation Deal Expense,SERVICES,Mt,0,0,
Spot Owner Demurrage,Spot Owner Demurrage,SERVICES,Mt,0,0,
Product Commission,Commission,SERVICES,Mt,0,0,
Claim Amount,Claim Amount,SERVICES,Mt,0,0,
Import Tax,Import Tax,SERVICES,Mt,0,0,
Freight,Freight,SERVICES,Mt,0,0,
Other,Other,SERVICES,Mt,0,0,
Port Costs,Port Costs,SERVICES,Mt,0,0,
Demurrage,Demurrage,SERVICES,Mt,0,0,
Finance,Finance,SERVICES,Mt,0,0,
Hedging,Hedging,SERVICES,Mt,0,0,
Agency Fees,Agency Fees,SERVICES,Mt,0,0,
Bunker Costs,Bunker Costs,SERVICES,Mt,0,0,
EU ETS,EU ETS,SERVICES,Mt,0,0,
Inspection,Inspection,SERVICES,Mt,0,0,
Banking Charges,Banking Charges,SERVICES,Mt,0,0,
Insurance,Insurance,SERVICES,Mt,0,0,
Broker Fees,Broker Fees,SERVICES,Mt,0,0,
Commision,Commision,SERVICES,Mt,0,0,
LC Fees,LC Fees,SERVICES,Mt,0,0,
Address Commission,Address Commission,SERVICES,Mt,0,0,
Additional berth,Additional berth,SERVICES,Mt,0,0,
P&I charterer's liability,P&I charterer's liability,SERVICES,Mt,0,0,
BAF,Bunker adjustment factor,SERVICES,Mt,0,0,
Negative ACCT,Negative ACCT,SERVICES,Mt,0,0,
Positive ACCT,Positive ACCT,SERVICES,Mt,0,0,
METI freight,METI,SERVICES,Mt,0,0,
COAnalysis,COAnalysis,SERVICES,Mt,0,0,
Expected Revenue,Expected Revenue,SERVICES,Mt,0,0,
Premium + 5% Tax,Premium + 5% Tax,SERVICES,Mt,0,0,
Future allocation,Future allocation,SERVICES,Mt,0,0,
Profit sharing,Profit sharing,SERVICES,Mt,0,0,
Deal Revenue,Invoice Validation Deal Revenue,SERVICES,Mt,0,0,
Contract discount / premium,Contract discount / premium,SERVICES,Mt,0,0,
1 code name category uom sale_price cost_price description
2 SWAP SWAP SERVICES Mt 0 0
3 Time Charter Hire Time Charter Hire SERVICES Mt 0 0
4 Paper allocation Paper allocation SERVICES Mt 0 0
5 FX Difference FX Difference SERVICES Mt 0 0
6 Freight Commission Freight Commission SERVICES Mt 0 0
7 CFD CFD SERVICES Mt 0 0
8 Deal Expense Invoice Validation Deal Expense SERVICES Mt 0 0
9 Spot Owner Demurrage Spot Owner Demurrage SERVICES Mt 0 0
10 Product Commission Commission SERVICES Mt 0 0
11 Claim Amount Claim Amount SERVICES Mt 0 0
12 Import Tax Import Tax SERVICES Mt 0 0
13 Freight Freight SERVICES Mt 0 0
14 Other Other SERVICES Mt 0 0
15 Port Costs Port Costs SERVICES Mt 0 0
16 Demurrage Demurrage SERVICES Mt 0 0
17 Finance Finance SERVICES Mt 0 0
18 Hedging Hedging SERVICES Mt 0 0
19 Agency Fees Agency Fees SERVICES Mt 0 0
20 Bunker Costs Bunker Costs SERVICES Mt 0 0
21 EU ETS EU ETS SERVICES Mt 0 0
22 Inspection Inspection SERVICES Mt 0 0
23 Banking Charges Banking Charges SERVICES Mt 0 0
24 Insurance Insurance SERVICES Mt 0 0
25 Broker Fees Broker Fees SERVICES Mt 0 0
26 Commision Commision SERVICES Mt 0 0
27 LC Fees LC Fees SERVICES Mt 0 0
28 Address Commission Address Commission SERVICES Mt 0 0
29 Additional berth Additional berth SERVICES Mt 0 0
30 P&I charterer's liability P&I charterer's liability SERVICES Mt 0 0
31 BAF Bunker adjustment factor SERVICES Mt 0 0
32 Negative ACCT Negative ACCT SERVICES Mt 0 0
33 Positive ACCT Positive ACCT SERVICES Mt 0 0
34 METI freight METI SERVICES Mt 0 0
35 COAnalysis COAnalysis SERVICES Mt 0 0
36 Expected Revenue Expected Revenue SERVICES Mt 0 0
37 Premium + 5% Tax Premium + 5% Tax SERVICES Mt 0 0
38 Future allocation Future allocation SERVICES Mt 0 0
39 Profit sharing Profit sharing SERVICES Mt 0 0
40 Deal Revenue Invoice Validation Deal Revenue SERVICES Mt 0 0
41 Contract discount / premium Contract discount / premium SERVICES Mt 0 0

34
Reference Data/python_project/loaders/backup/Supplier_Stock_Locations.csv Normal file
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name,type,lat,lon
Antwerpen,supplier,51.2309677570105,4.37805175781251
Bandirma,supplier,40.369697136983,27.9607200622559
Callao,supplier,-12.0144723358403,-77.1260833740236
Donghae,supplier,0,0
Fangcheng,supplier,21.6140258994842,108.322792053223
Hamburg,supplier,53.57532,10.01534
Hazira,supplier,21.125681,82.794998
Hibi,supplier,34.39572,133.78713
Huelva,supplier,37.26638,-6.94004
Ilo,supplier,-17.6361697242517,-71.4935302734376
Japan,supplier,37.3002752813444,138.515625
Laizhou,supplier,37.2882577829837,119.795265197754
Lazaro Cardenas,supplier,17.9073656185063,-102.127704620362
Longkou,supplier,34.668138,104.165802
Naoshima,supplier,34.4612772884371,134.009170532227
Niihama,supplier,34.0407116420786,133.319778442383
Ningde,supplier,26.6965451115852,119.752349853516
Odda,supplier,52.133057,5.29525
Onahama,supplier,36.9268411923102,140.907897949219
Onsan,supplier,35.4601106672107,129.37671661377
Pori,supplier,61.6450645681561,21.3828277587891
Putian,supplier,0,0
Qingdao,supplier,36.06605,120.36939
Rizhao,supplier,0,0
Ronnskar,supplier,64.6574030409482,21.2832641601563
Rugao,supplier,32.0645374947014,120.495300292969
Saganoseki,supplier,33.2411282959313,131.885418891907
Taichung,supplier,0,0
Tampa,supplier,27.897652653541,-82.4285316467287
Ulsan,supplier,35.5366963783951,129.458084106446
Yeosu,supplier,34.7416124988318,127.705078125
YIZHENG,supplier,32.2244855374297,119.227289967737
Zhangjiagang,supplier,31.96815,120.40019
1 name type lat lon
2 Antwerpen supplier 51.2309677570105 4.37805175781251
3 Bandirma supplier 40.369697136983 27.9607200622559
4 Callao supplier -12.0144723358403 -77.1260833740236
5 Donghae supplier 0 0
6 Fangcheng supplier 21.6140258994842 108.322792053223
7 Hamburg supplier 53.57532 10.01534
8 Hazira supplier 21.125681 82.794998
9 Hibi supplier 34.39572 133.78713
10 Huelva supplier 37.26638 -6.94004
11 Ilo supplier -17.6361697242517 -71.4935302734376
12 Japan supplier 37.3002752813444 138.515625
13 Laizhou supplier 37.2882577829837 119.795265197754
14 Lazaro Cardenas supplier 17.9073656185063 -102.127704620362
15 Longkou supplier 34.668138 104.165802
16 Naoshima supplier 34.4612772884371 134.009170532227
17 Niihama supplier 34.0407116420786 133.319778442383
18 Ningde supplier 26.6965451115852 119.752349853516
19 Odda supplier 52.133057 5.29525
20 Onahama supplier 36.9268411923102 140.907897949219
21 Onsan supplier 35.4601106672107 129.37671661377
22 Pori supplier 61.6450645681561 21.3828277587891
23 Putian supplier 0 0
24 Qingdao supplier 36.06605 120.36939
25 Rizhao supplier 0 0
26 Ronnskar supplier 64.6574030409482 21.2832641601563
27 Rugao supplier 32.0645374947014 120.495300292969
28 Saganoseki supplier 33.2411282959313 131.885418891907
29 Taichung supplier 0 0
30 Tampa supplier 27.897652653541 -82.4285316467287
31 Ulsan supplier 35.5366963783951 129.458084106446
32 Yeosu supplier 34.7416124988318 127.705078125
33 YIZHENG supplier 32.2244855374297 119.227289967737
34 Zhangjiagang supplier 31.96815 120.40019

796
Reference Data/python_project/loaders/backup/Vessels.csv Normal file
View File

@@ -0,0 +1,796 @@
vessel_name,vessel_year,vessel_imo
Fairchem Blue Shark,2019,9804837
Woojin Evelyn,2002,9269594
Sigaia Theresa,2015,NULL
Sc Hongkong,2001,9187904
Chem Sol,2017,9739276
Southern Vulture,2018,9852274
Chembulk Yokohama,2003,9276248
Fuji Galaxy,2010,9490301
Ctg Bismuth,2016,9739290
Navig8 Violette,2015,9690626
Stolt Sun,2000,9149512
Houyoshi Park,2016,9725847
Beatrice,2013,9674763
Yc Azalea,2004,9272682
Argent Hibiscus,2010,9414266
Fairchem Success,2017,9798648
Pvt Sunrise,2011,9565742
Stolt Inspiration,1997,9102083
Tiger Reliance,2018,9800776
Bow Hercules,2017,9752046
Stolt Strength,2005,9311024
Lila Vancouver,2008,9407067
Southern Puma,2016,9792008
Niseko Galaxy,2020,9804930
Sun Freesia,2019,9570591
Navig8 Ammolite,2015,9727534
Qikiqtaaluk W.,2011,9421221
Ginga Lynx,2009,9442550
Lime Galaxy,2008,9380972
Skarven,2009,9400394
Davide B,2016,9721750
Ginga Leopard,2008,9425992
Eastern Quest,2009,9472749
Halcon Trader,2016,9742053
Bow Orion,2019,9818515
Navig8 Azotic,2016,9719757
Chemstar Sapphire,2019,9804904
Chem Altamira,2015,9705744
Chemroad Queen,2015,9737151
Chem Sea 1,2016,9731729
Dongyang Chemi,2001,9255969
Shamrock Jupiter,2009,9416082
Bow Faith,1997,9114232
Brillante,2017,9743825
Bow Summer,2005,9215270
Team Sapphire,2004,9312406
Mtm Santos,2015,9712606
Asl Orchid,2011,9594157
Sichem Mississipi,2008,9376658
Chemroute Brilliant,2009,9442562
Chemstar Jewel,2012,9624782
Pacific Endeavor,2011,9490325
Sky Ploeg,2015,9724441
Chemroute Pegasus,2012,9566162
Stolt Ajisai,2011,9477555
Stolt Greenshank,2011,9518799
Golden Hachi,2020,9874583
Mtm Tortola,2016,9742065
Sg Pegasus,2011,9494876
Bow Sirius,2006,9215294
Chemroad Echo,2004,9284685
No.2 Asian Pioneer,2016,9730983
Condor Trader,2016,9742077
Sichem Palace,2004,9304318
Mtm Colorado,2004,9278052
Alessandro Dp,2007,9384162
Kitikmeot W.,2010,9421219
Nordic Ami,2019,9800051
Golden Resolution,2014,9710074
Stolt Kashi,2003,9266243
Chem Wolverine,2006,9340439
Golden Prelude,2021,9881079
Cs Onsan,2013,9659684
Mtm Amsterdam,2018,9776444
Stolt Endurance,2004,9284697
Celsius Mumbai,2005,9304332
Stolt Invention,1997,9102100
Chem Barcelona,2016,9725835
Komodo Park,2024,9981465
Eva Tokyo,2019,9865520
Heung-a Pioneer,2008,9415478
Golden Sky,2017,9792151
Nordic Copenhagen,2019,9796810
Stolt Pondo,2007,9374521
Emanuele S,2007,9298363
Giancarlo D,2016,9721748
Chemraod Hawk,2018,9790622
Sichem Marseill,2007,9378199
Navig8 Victoria,2015,9690614
Stolt Kiri,2003,9266231
Royal Crystal 7,2007,9381330
Stolt Groenland,2009,9414072
Ensemble,2017,9749453
Golden Yosa,2008,9407081
Golden Wave,2019,9819911
Sichem Iris,2008,9392183
Fairchem Katana,2016,9749685
Chembulk Virgin Gorda,2004,9294288
Ginga Puma,2006,9343780
Arpeggio,2017,9749441
Southern Bull,2007,9378785
Mtm New York,2016,9749386
Golden Ace,2015,9736626
Chemroute Sky,2010,9508160
Zy Galaxy,1997,9143221
Daesan Chemi,2004,9303273
Marquette,2016,9732785
Fairchem Thresher,2019,9829746
Sun Diana,2009,9409508
Xena,2007,9360958
Chem Stream,2010,9479979
Navig8 Axinite,2016,9719771
Bay Pride,2017,9806665
Mtm Penang,2015,9712591
Chem Tiger,2003,9287297
Argent Daisy,2009,9382061
Navig8 Andesine,2015,9711559
Chem Mia,2008,9407093
Stolt Hagi,2016,9750206
Gwen,2008,9407067
Bow Saga,2007,9215309
Amagi Galaxy,2010,9490313
Chem Mercury,2018,9815276
Bow Precision,2018,9790646
Chem Spica,2017,9739264
Jal Kisan,2002,9223851
Stolt Loyalty,2017,9680114
Sc Golden Fortune Lx,2000,9233870
Bow Sea,2006,9215282
Chembulk Columbus,2011,9515319
Stolt Creativity,1997,9102095
Chem Lithium,2017,9815252
Tiger Integrity,2018,9760574
Stolt Innovation,1996,9102069
Chem New York,2014,9705732
Navig8 Amber,2015,9714056
Golden Taka,2004,9305544
Chembulk Singapore,2007,9330587
Stolt Bobcat,2009,9511167
Easterly As Omaria,2007,9363819
Southern Mermaid,2014,9724166
Golden Australis,2020,9882748
Giovanni Dp,2003,9261516
Navig8 Almandine,2015,9714068
Genuine Venus,2013,9613965
Trf Miami,2008,9416056
Stolt Vestland,1992,8911669
Hafnia Azurite,2016,9727560
Chemroad Sea,2011,9565730
Stolt Acer,2004,9272668
"Chem Spark ",2016,9731743
Naeba Galaxy,2018,9791169
Southern Turkey,2018,9749740
Sg Friendship,2003,9288576
Bow Santos,2004,9303651
Dreggen,2008,9416070
Golden Pioneer,2010,9421594
Fsl London,2006,9340465
Stolt Yuri,2016,9750218
Roseanne,2003,9300544
Golden Grace,2005,9317030
Mtm Gibraltar,2003,9282924
Southern Owl,2016,9773143
Sichem Melbourne,2007,9376921
Argent Aster,2007,9379959
Golden Orion,2014,9712333
Stolt Jaeger,1997,9114775
Bow Olympus,2019,9818527
Sc Chongqing,2010,9425045
Ocean Hope,2006,9340453
Celsius Middelfart,2015,9733349
Easterly As Olivia,2007,9340489
Woojin Kelly,2006,9330408
Stolt Effort,1999,9178202
Stolt Virtue,2004,9274317
Eva Usuki,2020,9865532
Golden Jupiter,2019,9837573
Dh Diligency,2019,9813060
Singapore Pioneer,2009,9478262
Bow Flower,1994,9047491
Alden,2016,9733363
Bunga Lily,2011,9542178
Stolt Megami,2008,9425980
Bochem Singapura,2011,9565625
Tiger Perseverance,2019,9800788
Dm Emerald,2010,9412763
Celsius Miami,2005,9304320
Bochem Bucephalas,2023,9760550
Akra 103,2000,9187538
Stream Baltic,2019,9838668
Bow Clipper,1995,9047518
Saehan Nuria,2010,NULL
Golden Betelgeuse,2019,9458315
Chem New Orleans,2015,9705756
Yangon,2003,9250165
Chembulk Tortola,2007,9342786
Chem Sirius,2011,9558397
Bow Compass,2009,9412737
Stellar Lilac,2008,9499943
Stream Pacific,2019,9838670
Fairchem Fortitude,2020,9805910
Orchid Sylt,2009,9367413
Manila I,2003,9242326
Chem Star,1997,9156541
Stolt Courage,2004,9296731
Sichem Beijing,2007,9397042
Greenwich Park,2011,9505998
Stolt Stream,2000,9169940
Jutlandia Swan,2015,9736638
Hafnia Topaz,2016,9753686
No2. Heung-a Pioneer,2008,9415480
Bow Dalian,2012,9504205
Chemocean Orion,2018,9777412
Albatross Trader,2015,9724063
Yc Pansy,2005,9311256
Bow Palladium,2017,9777371
Sc Chengdu,2010,9572185
Ulriken,2006,9325843
Mtm Hamburg,2008,9379844
Jipro Isis,2008,9370719
"Graceful Star ",1995,9102928
Chem Venus,2004,9324215
Awasan Pioneer,2009,9438925
Stolt Larix,2015,9617650
Stolt Achievement,1999,9124469
Rudolf Schulte,2011,9576765
Jipro Neftis,2011,9459292
Bow Gemini,2017,9752034
Guanaco,2003,9256834
Stolt Satsuki,2017,9781114
Mtm Dublin,2008,9335824
Stolt Flamenco,2010,9391995
Bow Nangang,2013,9504217
Songa Winds,2009,9416109
Concerto,2017,9743837
Stanley Park,2008,9363845
Stolt Confidence,1996,9102071
Bow Firda,2003,9250751
Bow Flora,1998,9143207
Reinhold Schulte,2012,9576789
Stolt Zulu,2006,9351531
Sinar Malahayati,2006,9349643
Chemroad Polaris,2014,9536923
Stolt Ilex,2010,9505936
Stolt Sisto,2010,9359375
Bristol Trader,2016,9737101
Bochem Mumbai,2010,9565637
Great Epsilon,2020,9873644
Chemstar Iris,2018,9827463
Fairchem Integrity,2019,9860192
Chemroad Rose,2005,9317846
Stolt Lerk,2017,9719252
Bow Hector,2009,9363493
Sichem Amethyst,2006,9354571
Sichem Ruby,2006,9344174
Koryu,2013,9668283
Nordic Aqua,2018,9800116
As Orelia,2008,9363821
Sunrise Ray,2018,9829679
Chem Saiph,2017,9731781
Dh Diligency,2019,9813060
Golden Denise,2006,9366196
Navig8 Gauntlet,2019,9853228
Tiger Tenacity,2017,9760550
Genuine Hercules,2013,9597147
Saehan Jasper,2009,9416111
Korea Chemi,2004,9274276
Astra,2003,9273387
Sichem Manila,2007,9322097
Dionne,2018,9814909
Jbu Sapphire,2009,9412725
Ginga Jaguar,2005,9321873
Goldengate Park,2013,9493145
Chemroad Aqua,2018,9790610
Xing Tong Kai Ming,2024,9988059
Mtm Newport,2018,9774575
Harsanadi,1999,9220196
Fairchem Sabre,2013,9657478
Wawasan Jade,2010,9565613
Damiania,2006,9308235
Uacc Manama,2010,9458822
Stolt Concept,1999,9178197
Eastern Liberty,2002,9276236
Stolt Perseverance,2001,9124471
Caribbean 1,2009,9416094
Ginga Cougar,2005,9321861
Serene Monaco,2005,9309629
Tablones,2003,9043093
Capella,2003,9278650
Ginga Lion,2004,9278727
Sc Petrel,2016,9746176
Scarlet Ray,2020,9799654
Bow Architect,2005,9319480
Eastern Neptune,2006,9370630
Bay Yasu,2008,9363869
Stolt Aguila,2009,9391983
Royal Aqua,2008,9381366
Xanthia,2003,9246152
Sfl Aruba,2022,9919761
Mtm Shanghai,2006,9345908
Lincoln Park,2012,9640097
Chem Rotterdam,2014,9640140
Stolt Magnesium,2017,9739317
Ginga Cheetah,2007,9414216
Mac London,2003,9296872
Eva Hongkong,2017,9800001
Southern Shark,2016,9821299
Navig8 Tanzanite,2016,9753703
Octaden,2007,9340477
Swan Pacific,2016,9749805
Mtm Southport,2008,9416032
Stolt Island,2009,9414058
Jbu Opal,2009,9400409
Songa Challenge,2009,9409510
Ammolit,1995,9016870
Ariane Makara,2009,9442548
Intermezzo,2019,9804825
Bow Capricorn,2016,9752010
Jkt Shanghai,2000,9175535
Sun Ploeg,2015,9724439
Stolt Norland,2009,9414060
Bay Spirit,2019,9852286
Southern Giraffe,2008,9415014
Chemocean Leo,2018,9777424
Sun Triton,2017,9781097
Indigo Ray,2016,9716016
Argent Gerbera,2010,9424596
Sc Virgo,2017,9801093
Ivory Ray,2011,9505986
Sichem Lily,2009,9393395
Songa Dream,2010,9505948
Stolt Distributor,2002,9276145
Celsius Eagle,2010,9423750
Chem Argon,2016,9716004
Sc Taurus,2017,9801081
Fairchem Victory,2016,9773179
Stolt Glory,2005,9311012
Stolt Tenacity,2017,9680102
Clarice,2014,9674775
Stolt Cobalt,2016,9739305
Chem Antares,2004,9286554
Om Shanghai,2007,9358632
Stolt Spruce,1993,8919037
Ginga Ocelot,2013,9581423
Ulsan Chemi,2003,9279927
Stolt Cedar,1994,8919049
Sichem Challenge,1998,9196448
Navig8 Amethyst,2015,9714501
Patalya,2005,9305180
Mtm Rotterdam,2011,9477567
Stolt Surf,2000,9168623
Chembulk Kobe,2002,9263136
Nordic Masa,2009,9451410
Hakone Galaxy,2018,9791171
Stolt Skua,1999,9199311
Songa Breeze,2009,9423645
Southern Xantis,2020,9883493
Stolt Sakura,2010,9432969
Nordic Marita,2012,9558402
Stolt Sea,1999,9149495
Ginga Saker,2003,9258155
Chemstar Stellar,2012,9624770
Fg Rotterdam,2012,9485863
Fairchem Blade,2014,9692416
Chemstar Tierra,2018,9827451
Purple Ray,2020,9804899
Chem Bulldog,2010,9587790
Mtm Singapore,2011,9477529
Moyra,2005,9271999
Chem Stellar,2016,9731755
Clayton,2025,1019979
Stolt Sanderling,2011,9518804
Ginga Panther,2007,9379985
Sichem Hong Kong,2007,9397054
Hyde Park,2017,9725861
Fairchem Endurance,2020,9800441
Bow Faith,1997,5408609
Alpaca,2010,9403293
Golden Vega,2016,9773167
Melderskin,2016,9737577
Stolt Sneland,2008,9352212
Doris Ruby,2003,9279939
Moquegua,2002,9262869
Sc Mercury,2016,9746188
Mid Eagle,2007,9330795
Crimson Ray,2007,9347152
Stolt Efficiency,1998,9102112
Stolt Basuto,2006,9351543
Stolt Alm,2016,9719238
Jazz,2019,9804849
Sun Jupiter,2019,9837573
"Magenta Ray ",2019,9829722
Gt Star,2012,9485849
Fairchem Tiger,2019,9829760
Stolt Voyager,2003,9297292
Stolt Quetzal,2009,9376660
G Silver,2004,9324215
Chem Silicon,2018,9829681
Concon Trader,2018,9800037
Huemul,2008,9371775
As Omaria,2007,9363819
Rayong Chemi,2002,9257125
Navig8 Aventurine,2015,9711547
Stolt Mercury,2017,9739329
Fairchem Falcon,2018,9799642
Fairchem Copper,2019,9829758
Sea Ploeg,2016,9724453
Stolt Breland,2010,9414084
Mtm Tokyo,2003,9279111
Chemroad Journey,2009,9414254
Intrepid Seahawk,2011,9576777
Mtm North Sound,2006,9360946
Stolt Lotus,2014,9617648
Carole M,2016,9732797
Stolt Integrity,2017,9680097
Dh Fealty,2018,9829772
Stolt Maple,2017,9764491
Southern Falcon,2008,9414993
Bow Jaguar,2024,9989209
Melito Carrier,1993,8920581
Saehan Intrasia,2005,9330460
Golden Cygnus,2010,9498080
Chemraod Lily,2006,9325855
Hafnia Turquoise,2016,9753674
Golden Mind,2020,9881067
Cutlass Galaxy,2015,9746164
Navig8 Tourmaline,2016,9753698
Mac Singapore,2001,9244386
Radiant Ray,2018,9749697
Stolt Momiji,2010,9470545
Sun Dahlia,2018,9570577
Zoey,2011,9624548
Mtm Amazon,2007,9374533
Southern Quokka,2017,9792010
Chembulk Barcelona,2004,9278662
Navig8 Aragonite,2015,9727558
Shamrock Mercury,2010,9477531
Ginga Caracal,2009,9426300
Mid Nature,2011,9542154
Ginga Hawk,2000,9222651
Stolt Lind,2017,9719264
Stolt Pelican,1996,9016882
Central Park,2015,9725823
Amelia,2011,9624768
Bow Harmony,2008,9379909
Bow Fortune,1999,9168635
Golden Leader,2017,9805130
Chemroad Quest,2010,9451288
Mtm Vancouver,2019,9867607
Celsius Manhattan,2006,9323766
Chem Houston,2014,9705720
Golden Aspirant,2016,9758313
Lumphini Park,2013,9640114
Navig8 Adamite,2015,9727546
Mandal,2016,9732773
Nordic Callao,2019,9340439
Stolt Sypress,1998,9150315
Tsukuba Galaxy,2020,9796834
Chemroad Orchid,2019,9790608
Valentine,2008,9504023
Trf Bergen,2015,9692246
Nordic Americas,2004,9304306
Stolt Focus,2001,9214305
Golden Ray,2012,9640102
Stolt Kingfisher,1998,9154323
Fairchem Bronco,2007,9360960
Sc Falcon,2016,9746190
Nordic Ace,2018,9800104
Tivoli Park,2018,9780536
Bow Tungsten,2018,9777400
Fanfare,2018,9760562
Chemroad Sirius,2018,9757979
Yelena,2011,9613616
Susana S,2009,9406714
Chemroad Hope,2011,9565754
Spring Ploeg,2017,9774707
Edge Galaxy,2017,9788954
Forest Park,2013,9640126
Southern Hawk,2009,9534901
Zao Galaxy,2012,9566150
Pvt Jupiter,2008,9408803
Stolt Redshank,2011,9566746
Bochem Ghent,2011,9565649
Chemstar River,2017,9758026
Golden Creation,NULL,NULL
Golden Vega,0,NULL
Chem Selenium,0,NULL
Bunga Laurel,NULL,NULL
Bow Condor,0,NULL
Ncc Mekka,1995,9047752
Mac Singapore,2001,9244386
Southern Lion,NULL,NULL
Navi8 Spark,NULL,NULL
Sea Ploeg,NULL,NULL
Golden Creation,NULL,NULL
Mtm Rotterdam,NULL,NULL
Bow Andes,0,NULL
Southern Lion,2011,9567752
"Genuine Galaxy ",0,NULL
Fairchem Triumph,2017,9758038
Polaris Stardom,20089,9470246
Conti Chivalry,NULL,NULL
Bunga Lucerne,2012,9508938
Bw Helium,NULL,NULL
Chembulk Sydney,NULL,NULL
Dh Glory,2020,9815628
Nordic Maya,2005,9339351
Ginga Liger,2021,9893448
Esteem Sango,2021,9900461
Sun Iris,2020,9873254
Goldstar Shine,2004,9279707
Cnc Dream,2004,9305544
Golden Procyon,2015,9750476
Bochem Chennai,2012,9565766
Bochem Chennai,2012,9565766
Bochem Chennai,2012,9565766
Sc Brilliant,2007,9340702
Fairchem Angel,2020,9809394
Itsa Ship Accounting,NULL,None
Forshun,2001,9236054
Pacific Star,2008,9363481
Chermoute Pegasus,2012,9566162
Barbouni,2007,9416020
Lisbon,2000,9223916
Benten Galaxy,2022,NULL
Pvt Azura,2009,9423683
Southern Narwhal,2015,9715995
Mid Fortune,2009,9423683
Bum Shin,2003,9263095
G Bright,2004,9294276
Golden Unity,2011,9572575
T Procyon,2021,9569499
Chem Leona,2010,9505948
Chemroute Sun,2008,9414228
Fairchem Fynbos,2021,9914292
Chem Sceptrum,2017,9731793
Begonia,2005,9330381
Takao Galaxy,2022,9920069
Daeho Sunny,2009,9511105
Bow Cecil,1998,9143219
Sc Scorpio,2017,9801079
Stolt Argon,2016,9739288
Thai Chemi,2006,9330393
Easterly As Omaria,2007,9340489
Taruca,2005,9331402
Lila Confidence,2006,9340427
Eva Fuji,2021,9914242
Bochem Marengo,2017,9749025
Whitney,2009,9551337
Hakuba Galaxy,2021,9804916
Kamui Galaxy,2022,9942653
Chem Sea 1,2016,9731729
Golden Axis,2022,9930832
Chem Star 1,2016,9731731
Stolt Bismuth,2016,9739290
Tsurugi Galaxy,2020,9875501
Tsukuba Galaxy,NULL,9796834
Chem Sceptrum,2017,9731793
Bangkok Chemi,2006,9330410
Bochem London,2016,9743849
Stream Arctic,2019,9817509
Woojin Elvis,2009,9442665
Stolt Fulmar,2000,9148972
Fairchem Conquest,2017,9798648
Ginga Tiger,2003,9278715
Mumbai,2003,9242338
Stolt Facto,2010,9359363
Chem Taurus,2010,9477505
Silver Ray,2013,9493133
Navig8 Aronaldo,2015,9711561
Blue Arrow,2012,9630444
Slogen,2016,9733375
Hodaka Galaxy,2018,9791157
Bow Prosper,2020,9866770
Mtm Kobe,2018,9776456
Marex Sara,2016,9773997
Rlo Explorer,1998,9148958
Chemroute Oasis,2011,9512173
Chemroad Dita,2009,9414242
Karruca,2001,9216470
Stolt Span,1999,9149524
Lavender Ray,2017,9740794
Bow Cedar,1996,9087013
Malbec Legend,2016,9732814
Stolt Ocelot,2008,9459539
Stolt Orca,2012,9565699
Ct Ace,2006,9352597
Mar Camino,2010,9573892
Hari Akash,1998,9156553
Bow Performer,2018,9790658
Bochem Oslo,2010,9420710
Fairchem Valor,2019,9791195
"Jal Garuda ",2000,9196709
Fairchem Kiso,2011,9527075
Argent Sunrise,2008,9392377
Golden Creation,2015,9738662
Stolt Kikyo,1998,9156565
Ami,2006,9360934
Panagia Thalassini,2017,9730335
Stolt Renge,2017,9781126
Sun Venus,2016,9774410
Eastern Oasis,2007,9383986
Ogino Park,2017,9725873
Golden Deneb,2019,9859258
Patrona I,2004,9305178
Navig8 Achroite,2016,9727584
Golden Chie,2010,9566203
Bay Dignity,2017,9806706
Marmotas,2005,9304344
Global Pioneer,2010,9542142
Ds Cougar,2009,9515292
Mtm Houston,2010,9505924
Stolt Commitment,2000,9168647
Songa Peace,2009,9409522
Nave Polaris,2011,9457749
Southern Unicorn,2018,9749702
Tiger Glory,2017,9749025
Rabigh Sun,2008,9392365
Stolt Pride,2016,9680073
Ct Confidence,2006,9340427
Bow Neon,2017,9777369
"Griya Bugis ",1998,9191280
Nocturne,2020,9804863
Raon Teresa,2002,9244984
Nordic Ann,2010,9422665
Yc Daisy,2005,9304344
Stolt Seagull,1997,9125645
Fairchem Pinnacle,2025,NULL
Azalea Galaxy,2006,9343778
Stolt Rindo,2005,9314765
Navig8 Sky,2016,9731731
Rt Star,2011,9523835
Ctg Argon,2016,9739288
Navig8 Ametrine,2015,9714513
Stolt Palm,2018,9764506
Hicri Kaan,1998,9171474
Chemtrans Mobile,2016,9732802
Stolt Sycamore,2000,9198563
Bow Condor,2000,9214032
Bunga Lilac,2011,9542166
Southern Robin,2018,9749714
Bow Star,2004,9197296
Stolt Excellence,2018,9720081
Sagami,2008,9379911
Stolt Tsubaki,2011,9477543
Bow Chain,2002,9214317
Nq Laelia,2008,9393383
Rainbow Island 88,2004,9286542
Chembulk Vancouver,2003,9282364
Mtm Big Apple,2018,9774563
Bunga Laurel,2010,9529645
Stolt Apal,2016,9719240
Wawasan Topaz,2010,9565601
Sichem New York,2007,9337834
Fairchem Sword,2013,9673678
Shenghui Glory,2015,9724037
Navig8 Amazonite,2015,9719769
Bow Sun,2003,9197284
Mid Osprey,2006,9330783
Stolt Vision,2005,9274329
Celsius Messina,2007,9349655
Nordic Aki,2011,9505974
Stolt Selje,1993,8919051
Navig8 Goal,2019,9853216
Ginga Fortitude,2020,9805910
Yc,NULL,NULL
Stolt Spray,2000,9168611
Nq Morina,2002,9243382
Nordic Mari,2010,9422677
Golden Mercury,2003,9272802
Asian Pioneer,2015,9730971
Linken,2016,9733351
Lila Evia,2006,9330771
Mtm Fairfield,2002,9264465
Stolt Ebony,2017,9744908
Stolt Teal,1999,9199323
Mtm New Orleans,2016,9749398
Bow Engineer,2006,9317860
Lavraki,2007,9323077
Stolt Sandpiper,2011,9566758
Golden Sirius,2009,9478274
Fuji Lava,2010,9468528
Flumar Maceio,2006,9345893
Ginga Merlin,2002,9254252
Bow Glory,2017,9758038
Mtm Savannah,2015,9726750
Malbec Legacy,2016,9732826
Wolverine,2006,9043081
Forte Galaxy,2018,NULL
Uacc Marah,2013,9489091
Chem Neon,2018,9815264
"Blue Arrow ",2012,9630444
Xt Sea Lion,2025,1042378
Navig8 Universe,2013,9489106
Sunny Orion,2010,9511143
Stolt Betula,2003,9266267
Stolt Suisen,1998,9156577
Bow Spring,2004,9215256
Bow Cardinal,1997,9114244
Bow Platinum,2018,9777383
Mtm Hudson,2004,9278064
Chem Cobalt,2016,9740770
Eva Bergen,2018,9800013
Latana,2000,9186352
Eastern Prosperity,2008,9383998
"Bellis Theresa ",2000,9192375
Chem Singapore,2015,9705768
Floyen,2016,9749790
Kaimon Galaxy,2012,9552472
Sunny Orion,2010,9511143
Chemstar River,2017,9758026
Fairchem Loyalty,2019,9791183
Nave Cosmos,2010,9457024
Bomar Lynx,2003,9043093
Bow Fagus,1995,9047764
Stolt Osprey,1998,9147461
Bunga Lavender,2010,9542130
Lauren,2002,9266229
Tiger Harmony,2016,9725859
Fairchem Hawk,2019,9804813
Sandro,2017,9390525
Bow Odyssey,2020,9818539
Horin Trader,2015,9724051
Bow Caroline,2009,9367554
Chem Gallium,2017,9740782
Ginga Kite,2001,9228291
Summer Ploeg,2017,9790464
Wawasan Ruby,2010,9477517
Menuett,2019,9790634
Acadia Park,2018,9780548
Sun Neptune,2007,9363807
Marigold,2000,9221669
Chemroad Haya,2004,9303649
Ginga Bobcat,2010,9472737
Key Wind,1999,9148960
Uacc Riyadh,2011,9458834
Bochem Bayard,2017,9749025
Bow Titanium,2018,9777395
Ebony Ray,2008,9363857
Stolt Viking,2001,9196711
Mtm Westport,2005,9317858
Mtm Key West,2020,9790672
Navig8 Aquamarine,2015,9711573
Chem Amsterdam,2013,9640138
Fairchem Honor,2019,9860207
Stolt Sincerity,2016,9680085
Woojin Chemi,2003,9272814
Sichem Mumbai,2006,9322085
Pacific Sapphire,2008,9508158
Jbu Onyx,2008,9392999
Southern Wolf,2019,9867267
Stolt Calluna,2017,9744893
Bow Sky,2005,9215268
Chem Polaris,2008,9416044
Southern Condor,2007,9441659
Golden Sagittarius,2019,9867073
Chemroad Sakura,2018,9757967
Navig8 Alabaster,2015,9727572
Prabhu Parvati,2008,NULL
Sun Edelweiss,2018,9570589
Fairchem Aldebaran,2017,9552666
Stolt Capability,1998,9102124
Straum,2010,9406726
Cypress Galaxy,2007,9379973
Stolt Vanguard,2004,9274305
Mtm Antwerp,2004,9291456
Diva,2017,9760548
Bow Fuling,2012,9504190
Navig8 Amessi,2015,9719745
Stolt Sequoia,2003,9235062
Golden Dream,2002,9255971
Bochem Luxembourg,2015,9737565
Stolt Sagaland,2008,9352200
Harmonics,2019,9799680
Alessandro Dp,2007,9384162
Battersea Park,2002,9255983
Gallop,2019,9799678
Kiso,2008,9379894
Chemroad Wing,2005,9309502
Sc Citrine,2025,9989027
Vari Trader,2018,9800025
Bow Aquarius,2016,9753791
Fairchem Charger,2009,9367401
Elm Galaxy,2006,9331256
Stolt Auk,2001,9164108
Beech Galaxy,2007,9340441
Lilac Ray,2020,9883481
Fairchem Mako,2018,9826574
Argent Iris,2011,9459280
Celsius Birdie,2009,9423724
Golden Altair,2016,9792163
Celsius Mexico,2008,9408798
Woojin Frank,2005,9317262
Birdie Trader,2016,9724099
Liberty,2009,9423542
1 vessel_name vessel_year vessel_imo
2 Fairchem Blue Shark 2019 9804837
3 Woojin Evelyn 2002 9269594
4 Sigaia Theresa 2015 NULL
5 Sc Hongkong 2001 9187904
6 Chem Sol 2017 9739276
7 Southern Vulture 2018 9852274
8 Chembulk Yokohama 2003 9276248
9 Fuji Galaxy 2010 9490301
10 Ctg Bismuth 2016 9739290
11 Navig8 Violette 2015 9690626
12 Stolt Sun 2000 9149512
13 Houyoshi Park 2016 9725847
14 Beatrice 2013 9674763
15 Yc Azalea 2004 9272682
16 Argent Hibiscus 2010 9414266
17 Fairchem Success 2017 9798648
18 Pvt Sunrise 2011 9565742
19 Stolt Inspiration 1997 9102083
20 Tiger Reliance 2018 9800776
21 Bow Hercules 2017 9752046
22 Stolt Strength 2005 9311024
23 Lila Vancouver 2008 9407067
24 Southern Puma 2016 9792008
25 Niseko Galaxy 2020 9804930
26 Sun Freesia 2019 9570591
27 Navig8 Ammolite 2015 9727534
28 Qikiqtaaluk W. 2011 9421221
29 Ginga Lynx 2009 9442550
30 Lime Galaxy 2008 9380972
31 Skarven 2009 9400394
32 Davide B 2016 9721750
33 Ginga Leopard 2008 9425992
34 Eastern Quest 2009 9472749
35 Halcon Trader 2016 9742053
36 Bow Orion 2019 9818515
37 Navig8 Azotic 2016 9719757
38 Chemstar Sapphire 2019 9804904
39 Chem Altamira 2015 9705744
40 Chemroad Queen 2015 9737151
41 Chem Sea 1 2016 9731729
42 Dongyang Chemi 2001 9255969
43 Shamrock Jupiter 2009 9416082
44 Bow Faith 1997 9114232
45 Brillante 2017 9743825
46 Bow Summer 2005 9215270
47 Team Sapphire 2004 9312406
48 Mtm Santos 2015 9712606
49 Asl Orchid 2011 9594157
50 Sichem Mississipi 2008 9376658
51 Chemroute Brilliant 2009 9442562
52 Chemstar Jewel 2012 9624782
53 Pacific Endeavor 2011 9490325
54 Sky Ploeg 2015 9724441
55 Chemroute Pegasus 2012 9566162
56 Stolt Ajisai 2011 9477555
57 Stolt Greenshank 2011 9518799
58 Golden Hachi 2020 9874583
59 Mtm Tortola 2016 9742065
60 Sg Pegasus 2011 9494876
61 Bow Sirius 2006 9215294
62 Chemroad Echo 2004 9284685
63 No.2 Asian Pioneer 2016 9730983
64 Condor Trader 2016 9742077
65 Sichem Palace 2004 9304318
66 Mtm Colorado 2004 9278052
67 Alessandro Dp 2007 9384162
68 Kitikmeot W. 2010 9421219
69 Nordic Ami 2019 9800051
70 Golden Resolution 2014 9710074
71 Stolt Kashi 2003 9266243
72 Chem Wolverine 2006 9340439
73 Golden Prelude 2021 9881079
74 Cs Onsan 2013 9659684
75 Mtm Amsterdam 2018 9776444
76 Stolt Endurance 2004 9284697
77 Celsius Mumbai 2005 9304332
78 Stolt Invention 1997 9102100
79 Chem Barcelona 2016 9725835
80 Komodo Park 2024 9981465
81 Eva Tokyo 2019 9865520
82 Heung-a Pioneer 2008 9415478
83 Golden Sky 2017 9792151
84 Nordic Copenhagen 2019 9796810
85 Stolt Pondo 2007 9374521
86 Emanuele S 2007 9298363
87 Giancarlo D 2016 9721748
88 Chemraod Hawk 2018 9790622
89 Sichem Marseill 2007 9378199
90 Navig8 Victoria 2015 9690614
91 Stolt Kiri 2003 9266231
92 Royal Crystal 7 2007 9381330
93 Stolt Groenland 2009 9414072
94 Ensemble 2017 9749453
95 Golden Yosa 2008 9407081
96 Golden Wave 2019 9819911
97 Sichem Iris 2008 9392183
98 Fairchem Katana 2016 9749685
99 Chembulk Virgin Gorda 2004 9294288
100 Ginga Puma 2006 9343780
101 Arpeggio 2017 9749441
102 Southern Bull 2007 9378785
103 Mtm New York 2016 9749386
104 Golden Ace 2015 9736626
105 Chemroute Sky 2010 9508160
106 Zy Galaxy 1997 9143221
107 Daesan Chemi 2004 9303273
108 Marquette 2016 9732785
109 Fairchem Thresher 2019 9829746
110 Sun Diana 2009 9409508
111 Xena 2007 9360958
112 Chem Stream 2010 9479979
113 Navig8 Axinite 2016 9719771
114 Bay Pride 2017 9806665
115 Mtm Penang 2015 9712591
116 Chem Tiger 2003 9287297
117 Argent Daisy 2009 9382061
118 Navig8 Andesine 2015 9711559
119 Chem Mia 2008 9407093
120 Stolt Hagi 2016 9750206
121 Gwen 2008 9407067
122 Bow Saga 2007 9215309
123 Amagi Galaxy 2010 9490313
124 Chem Mercury 2018 9815276
125 Bow Precision 2018 9790646
126 Chem Spica 2017 9739264
127 Jal Kisan 2002 9223851
128 Stolt Loyalty 2017 9680114
129 Sc Golden Fortune Lx 2000 9233870
130 Bow Sea 2006 9215282
131 Chembulk Columbus 2011 9515319
132 Stolt Creativity 1997 9102095
133 Chem Lithium 2017 9815252
134 Tiger Integrity 2018 9760574
135 Stolt Innovation 1996 9102069
136 Chem New York 2014 9705732
137 Navig8 Amber 2015 9714056
138 Golden Taka 2004 9305544
139 Chembulk Singapore 2007 9330587
140 Stolt Bobcat 2009 9511167
141 Easterly As Omaria 2007 9363819
142 Southern Mermaid 2014 9724166
143 Golden Australis 2020 9882748
144 Giovanni Dp 2003 9261516
145 Navig8 Almandine 2015 9714068
146 Genuine Venus 2013 9613965
147 Trf Miami 2008 9416056
148 Stolt Vestland 1992 8911669
149 Hafnia Azurite 2016 9727560
150 Chemroad Sea 2011 9565730
151 Stolt Acer 2004 9272668
152 Chem Spark 2016 9731743
153 Naeba Galaxy 2018 9791169
154 Southern Turkey 2018 9749740
155 Sg Friendship 2003 9288576
156 Bow Santos 2004 9303651
157 Dreggen 2008 9416070
158 Golden Pioneer 2010 9421594
159 Fsl London 2006 9340465
160 Stolt Yuri 2016 9750218
161 Roseanne 2003 9300544
162 Golden Grace 2005 9317030
163 Mtm Gibraltar 2003 9282924
164 Southern Owl 2016 9773143
165 Sichem Melbourne 2007 9376921
166 Argent Aster 2007 9379959
167 Golden Orion 2014 9712333
168 Stolt Jaeger 1997 9114775
169 Bow Olympus 2019 9818527
170 Sc Chongqing 2010 9425045
171 Ocean Hope 2006 9340453
172 Celsius Middelfart 2015 9733349
173 Easterly As Olivia 2007 9340489
174 Woojin Kelly 2006 9330408
175 Stolt Effort 1999 9178202
176 Stolt Virtue 2004 9274317
177 Eva Usuki 2020 9865532
178 Golden Jupiter 2019 9837573
179 Dh Diligency 2019 9813060
180 Singapore Pioneer 2009 9478262
181 Bow Flower 1994 9047491
182 Alden 2016 9733363
183 Bunga Lily 2011 9542178
184 Stolt Megami 2008 9425980
185 Bochem Singapura 2011 9565625
186 Tiger Perseverance 2019 9800788
187 Dm Emerald 2010 9412763
188 Celsius Miami 2005 9304320
189 Bochem Bucephalas 2023 9760550
190 Akra 103 2000 9187538
191 Stream Baltic 2019 9838668
192 Bow Clipper 1995 9047518
193 Saehan Nuria 2010 NULL
194 Golden Betelgeuse 2019 9458315
195 Chem New Orleans 2015 9705756
196 Yangon 2003 9250165
197 Chembulk Tortola 2007 9342786
198 Chem Sirius 2011 9558397
199 Bow Compass 2009 9412737
200 Stellar Lilac 2008 9499943
201 Stream Pacific 2019 9838670
202 Fairchem Fortitude 2020 9805910
203 Orchid Sylt 2009 9367413
204 Manila I 2003 9242326
205 Chem Star 1997 9156541
206 Stolt Courage 2004 9296731
207 Sichem Beijing 2007 9397042
208 Greenwich Park 2011 9505998
209 Stolt Stream 2000 9169940
210 Jutlandia Swan 2015 9736638
211 Hafnia Topaz 2016 9753686
212 No2. Heung-a Pioneer 2008 9415480
213 Bow Dalian 2012 9504205
214 Chemocean Orion 2018 9777412
215 Albatross Trader 2015 9724063
216 Yc Pansy 2005 9311256
217 Bow Palladium 2017 9777371
218 Sc Chengdu 2010 9572185
219 Ulriken 2006 9325843
220 Mtm Hamburg 2008 9379844
221 Jipro Isis 2008 9370719
222 Graceful Star 1995 9102928
223 Chem Venus 2004 9324215
224 Awasan Pioneer 2009 9438925
225 Stolt Larix 2015 9617650
226 Stolt Achievement 1999 9124469
227 Rudolf Schulte 2011 9576765
228 Jipro Neftis 2011 9459292
229 Bow Gemini 2017 9752034
230 Guanaco 2003 9256834
231 Stolt Satsuki 2017 9781114
232 Mtm Dublin 2008 9335824
233 Stolt Flamenco 2010 9391995
234 Bow Nangang 2013 9504217
235 Songa Winds 2009 9416109
236 Concerto 2017 9743837
237 Stanley Park 2008 9363845
238 Stolt Confidence 1996 9102071
239 Bow Firda 2003 9250751
240 Bow Flora 1998 9143207
241 Reinhold Schulte 2012 9576789
242 Stolt Zulu 2006 9351531
243 Sinar Malahayati 2006 9349643
244 Chemroad Polaris 2014 9536923
245 Stolt Ilex 2010 9505936
246 Stolt Sisto 2010 9359375
247 Bristol Trader 2016 9737101
248 Bochem Mumbai 2010 9565637
249 Great Epsilon 2020 9873644
250 Chemstar Iris 2018 9827463
251 Fairchem Integrity 2019 9860192
252 Chemroad Rose 2005 9317846
253 Stolt Lerk 2017 9719252
254 Bow Hector 2009 9363493
255 Sichem Amethyst 2006 9354571
256 Sichem Ruby 2006 9344174
257 Koryu 2013 9668283
258 Nordic Aqua 2018 9800116
259 As Orelia 2008 9363821
260 Sunrise Ray 2018 9829679
261 Chem Saiph 2017 9731781
262 Dh Diligency 2019 9813060
263 Golden Denise 2006 9366196
264 Navig8 Gauntlet 2019 9853228
265 Tiger Tenacity 2017 9760550
266 Genuine Hercules 2013 9597147
267 Saehan Jasper 2009 9416111
268 Korea Chemi 2004 9274276
269 Astra 2003 9273387
270 Sichem Manila 2007 9322097
271 Dionne 2018 9814909
272 Jbu Sapphire 2009 9412725
273 Ginga Jaguar 2005 9321873
274 Goldengate Park 2013 9493145
275 Chemroad Aqua 2018 9790610
276 Xing Tong Kai Ming 2024 9988059
277 Mtm Newport 2018 9774575
278 Harsanadi 1999 9220196
279 Fairchem Sabre 2013 9657478
280 Wawasan Jade 2010 9565613
281 Damiania 2006 9308235
282 Uacc Manama 2010 9458822
283 Stolt Concept 1999 9178197
284 Eastern Liberty 2002 9276236
285 Stolt Perseverance 2001 9124471
286 Caribbean 1 2009 9416094
287 Ginga Cougar 2005 9321861
288 Serene Monaco 2005 9309629
289 Tablones 2003 9043093
290 Capella 2003 9278650
291 Ginga Lion 2004 9278727
292 Sc Petrel 2016 9746176
293 Scarlet Ray 2020 9799654
294 Bow Architect 2005 9319480
295 Eastern Neptune 2006 9370630
296 Bay Yasu 2008 9363869
297 Stolt Aguila 2009 9391983
298 Royal Aqua 2008 9381366
299 Xanthia 2003 9246152
300 Sfl Aruba 2022 9919761
301 Mtm Shanghai 2006 9345908
302 Lincoln Park 2012 9640097
303 Chem Rotterdam 2014 9640140
304 Stolt Magnesium 2017 9739317
305 Ginga Cheetah 2007 9414216
306 Mac London 2003 9296872
307 Eva Hongkong 2017 9800001
308 Southern Shark 2016 9821299
309 Navig8 Tanzanite 2016 9753703
310 Octaden 2007 9340477
311 Swan Pacific 2016 9749805
312 Mtm Southport 2008 9416032
313 Stolt Island 2009 9414058
314 Jbu Opal 2009 9400409
315 Songa Challenge 2009 9409510
316 Ammolit 1995 9016870
317 Ariane Makara 2009 9442548
318 Intermezzo 2019 9804825
319 Bow Capricorn 2016 9752010
320 Jkt Shanghai 2000 9175535
321 Sun Ploeg 2015 9724439
322 Stolt Norland 2009 9414060
323 Bay Spirit 2019 9852286
324 Southern Giraffe 2008 9415014
325 Chemocean Leo 2018 9777424
326 Sun Triton 2017 9781097
327 Indigo Ray 2016 9716016
328 Argent Gerbera 2010 9424596
329 Sc Virgo 2017 9801093
330 Ivory Ray 2011 9505986
331 Sichem Lily 2009 9393395
332 Songa Dream 2010 9505948
333 Stolt Distributor 2002 9276145
334 Celsius Eagle 2010 9423750
335 Chem Argon 2016 9716004
336 Sc Taurus 2017 9801081
337 Fairchem Victory 2016 9773179
338 Stolt Glory 2005 9311012
339 Stolt Tenacity 2017 9680102
340 Clarice 2014 9674775
341 Stolt Cobalt 2016 9739305
342 Chem Antares 2004 9286554
343 Om Shanghai 2007 9358632
344 Stolt Spruce 1993 8919037
345 Ginga Ocelot 2013 9581423
346 Ulsan Chemi 2003 9279927
347 Stolt Cedar 1994 8919049
348 Sichem Challenge 1998 9196448
349 Navig8 Amethyst 2015 9714501
350 Patalya 2005 9305180
351 Mtm Rotterdam 2011 9477567
352 Stolt Surf 2000 9168623
353 Chembulk Kobe 2002 9263136
354 Nordic Masa 2009 9451410
355 Hakone Galaxy 2018 9791171
356 Stolt Skua 1999 9199311
357 Songa Breeze 2009 9423645
358 Southern Xantis 2020 9883493
359 Stolt Sakura 2010 9432969
360 Nordic Marita 2012 9558402
361 Stolt Sea 1999 9149495
362 Ginga Saker 2003 9258155
363 Chemstar Stellar 2012 9624770
364 Fg Rotterdam 2012 9485863
365 Fairchem Blade 2014 9692416
366 Chemstar Tierra 2018 9827451
367 Purple Ray 2020 9804899
368 Chem Bulldog 2010 9587790
369 Mtm Singapore 2011 9477529
370 Moyra 2005 9271999
371 Chem Stellar 2016 9731755
372 Clayton 2025 1019979
373 Stolt Sanderling 2011 9518804
374 Ginga Panther 2007 9379985
375 Sichem Hong Kong 2007 9397054
376 Hyde Park 2017 9725861
377 Fairchem Endurance 2020 9800441
378 Bow Faith 1997 5408609
379 Alpaca 2010 9403293
380 Golden Vega 2016 9773167
381 Melderskin 2016 9737577
382 Stolt Sneland 2008 9352212
383 Doris Ruby 2003 9279939
384 Moquegua 2002 9262869
385 Sc Mercury 2016 9746188
386 Mid Eagle 2007 9330795
387 Crimson Ray 2007 9347152
388 Stolt Efficiency 1998 9102112
389 Stolt Basuto 2006 9351543
390 Stolt Alm 2016 9719238
391 Jazz 2019 9804849
392 Sun Jupiter 2019 9837573
393 Magenta Ray 2019 9829722
394 Gt Star 2012 9485849
395 Fairchem Tiger 2019 9829760
396 Stolt Voyager 2003 9297292
397 Stolt Quetzal 2009 9376660
398 G Silver 2004 9324215
399 Chem Silicon 2018 9829681
400 Concon Trader 2018 9800037
401 Huemul 2008 9371775
402 As Omaria 2007 9363819
403 Rayong Chemi 2002 9257125
404 Navig8 Aventurine 2015 9711547
405 Stolt Mercury 2017 9739329
406 Fairchem Falcon 2018 9799642
407 Fairchem Copper 2019 9829758
408 Sea Ploeg 2016 9724453
409 Stolt Breland 2010 9414084
410 Mtm Tokyo 2003 9279111
411 Chemroad Journey 2009 9414254
412 Intrepid Seahawk 2011 9576777
413 Mtm North Sound 2006 9360946
414 Stolt Lotus 2014 9617648
415 Carole M 2016 9732797
416 Stolt Integrity 2017 9680097
417 Dh Fealty 2018 9829772
418 Stolt Maple 2017 9764491
419 Southern Falcon 2008 9414993
420 Bow Jaguar 2024 9989209
421 Melito Carrier 1993 8920581
422 Saehan Intrasia 2005 9330460
423 Golden Cygnus 2010 9498080
424 Chemraod Lily 2006 9325855
425 Hafnia Turquoise 2016 9753674
426 Golden Mind 2020 9881067
427 Cutlass Galaxy 2015 9746164
428 Navig8 Tourmaline 2016 9753698
429 Mac Singapore 2001 9244386
430 Radiant Ray 2018 9749697
431 Stolt Momiji 2010 9470545
432 Sun Dahlia 2018 9570577
433 Zoey 2011 9624548
434 Mtm Amazon 2007 9374533
435 Southern Quokka 2017 9792010
436 Chembulk Barcelona 2004 9278662
437 Navig8 Aragonite 2015 9727558
438 Shamrock Mercury 2010 9477531
439 Ginga Caracal 2009 9426300
440 Mid Nature 2011 9542154
441 Ginga Hawk 2000 9222651
442 Stolt Lind 2017 9719264
443 Stolt Pelican 1996 9016882
444 Central Park 2015 9725823
445 Amelia 2011 9624768
446 Bow Harmony 2008 9379909
447 Bow Fortune 1999 9168635
448 Golden Leader 2017 9805130
449 Chemroad Quest 2010 9451288
450 Mtm Vancouver 2019 9867607
451 Celsius Manhattan 2006 9323766
452 Chem Houston 2014 9705720
453 Golden Aspirant 2016 9758313
454 Lumphini Park 2013 9640114
455 Navig8 Adamite 2015 9727546
456 Mandal 2016 9732773
457 Nordic Callao 2019 9340439
458 Stolt Sypress 1998 9150315
459 Tsukuba Galaxy 2020 9796834
460 Chemroad Orchid 2019 9790608
461 Valentine 2008 9504023
462 Trf Bergen 2015 9692246
463 Nordic Americas 2004 9304306
464 Stolt Focus 2001 9214305
465 Golden Ray 2012 9640102
466 Stolt Kingfisher 1998 9154323
467 Fairchem Bronco 2007 9360960
468 Sc Falcon 2016 9746190
469 Nordic Ace 2018 9800104
470 Tivoli Park 2018 9780536
471 Bow Tungsten 2018 9777400
472 Fanfare 2018 9760562
473 Chemroad Sirius 2018 9757979
474 Yelena 2011 9613616
475 Susana S 2009 9406714
476 Chemroad Hope 2011 9565754
477 Spring Ploeg 2017 9774707
478 Edge Galaxy 2017 9788954
479 Forest Park 2013 9640126
480 Southern Hawk 2009 9534901
481 Zao Galaxy 2012 9566150
482 Pvt Jupiter 2008 9408803
483 Stolt Redshank 2011 9566746
484 Bochem Ghent 2011 9565649
485 Chemstar River 2017 9758026
486 Golden Creation NULL NULL
487 Golden Vega 0 NULL
488 Chem Selenium 0 NULL
489 Bunga Laurel NULL NULL
490 Bow Condor 0 NULL
491 Ncc Mekka 1995 9047752
492 Mac Singapore 2001 9244386
493 Southern Lion NULL NULL
494 Navi8 Spark NULL NULL
495 Sea Ploeg NULL NULL
496 Golden Creation NULL NULL
497 Mtm Rotterdam NULL NULL
498 Bow Andes 0 NULL
499 Southern Lion 2011 9567752
500 Genuine Galaxy 0 NULL
501 Fairchem Triumph 2017 9758038
502 Polaris Stardom 20089 9470246
503 Conti Chivalry NULL NULL
504 Bunga Lucerne 2012 9508938
505 Bw Helium NULL NULL
506 Chembulk Sydney NULL NULL
507 Dh Glory 2020 9815628
508 Nordic Maya 2005 9339351
509 Ginga Liger 2021 9893448
510 Esteem Sango 2021 9900461
511 Sun Iris 2020 9873254
512 Goldstar Shine 2004 9279707
513 Cnc Dream 2004 9305544
514 Golden Procyon 2015 9750476
515 Bochem Chennai 2012 9565766
516 Bochem Chennai 2012 9565766
517 Bochem Chennai 2012 9565766
518 Sc Brilliant 2007 9340702
519 Fairchem Angel 2020 9809394
520 Itsa Ship Accounting NULL None
521 Forshun 2001 9236054
522 Pacific Star 2008 9363481
523 Chermoute Pegasus 2012 9566162
524 Barbouni 2007 9416020
525 Lisbon 2000 9223916
526 Benten Galaxy 2022 NULL
527 Pvt Azura 2009 9423683
528 Southern Narwhal 2015 9715995
529 Mid Fortune 2009 9423683
530 Bum Shin 2003 9263095
531 G Bright 2004 9294276
532 Golden Unity 2011 9572575
533 T Procyon 2021 9569499
534 Chem Leona 2010 9505948
535 Chemroute Sun 2008 9414228
536 Fairchem Fynbos 2021 9914292
537 Chem Sceptrum 2017 9731793
538 Begonia 2005 9330381
539 Takao Galaxy 2022 9920069
540 Daeho Sunny 2009 9511105
541 Bow Cecil 1998 9143219
542 Sc Scorpio 2017 9801079
543 Stolt Argon 2016 9739288
544 Thai Chemi 2006 9330393
545 Easterly As Omaria 2007 9340489
546 Taruca 2005 9331402
547 Lila Confidence 2006 9340427
548 Eva Fuji 2021 9914242
549 Bochem Marengo 2017 9749025
550 Whitney 2009 9551337
551 Hakuba Galaxy 2021 9804916
552 Kamui Galaxy 2022 9942653
553 Chem Sea 1 2016 9731729
554 Golden Axis 2022 9930832
555 Chem Star 1 2016 9731731
556 Stolt Bismuth 2016 9739290
557 Tsurugi Galaxy 2020 9875501
558 Tsukuba Galaxy NULL 9796834
559 Chem Sceptrum 2017 9731793
560 Bangkok Chemi 2006 9330410
561 Bochem London 2016 9743849
562 Stream Arctic 2019 9817509
563 Woojin Elvis 2009 9442665
564 Stolt Fulmar 2000 9148972
565 Fairchem Conquest 2017 9798648
566 Ginga Tiger 2003 9278715
567 Mumbai 2003 9242338
568 Stolt Facto 2010 9359363
569 Chem Taurus 2010 9477505
570 Silver Ray 2013 9493133
571 Navig8 Aronaldo 2015 9711561
572 Blue Arrow 2012 9630444
573 Slogen 2016 9733375
574 Hodaka Galaxy 2018 9791157
575 Bow Prosper 2020 9866770
576 Mtm Kobe 2018 9776456
577 Marex Sara 2016 9773997
578 Rlo Explorer 1998 9148958
579 Chemroute Oasis 2011 9512173
580 Chemroad Dita 2009 9414242
581 Karruca 2001 9216470
582 Stolt Span 1999 9149524
583 Lavender Ray 2017 9740794
584 Bow Cedar 1996 9087013
585 Malbec Legend 2016 9732814
586 Stolt Ocelot 2008 9459539
587 Stolt Orca 2012 9565699
588 Ct Ace 2006 9352597
589 Mar Camino 2010 9573892
590 Hari Akash 1998 9156553
591 Bow Performer 2018 9790658
592 Bochem Oslo 2010 9420710
593 Fairchem Valor 2019 9791195
594 Jal Garuda 2000 9196709
595 Fairchem Kiso 2011 9527075
596 Argent Sunrise 2008 9392377
597 Golden Creation 2015 9738662
598 Stolt Kikyo 1998 9156565
599 Ami 2006 9360934
600 Panagia Thalassini 2017 9730335
601 Stolt Renge 2017 9781126
602 Sun Venus 2016 9774410
603 Eastern Oasis 2007 9383986
604 Ogino Park 2017 9725873
605 Golden Deneb 2019 9859258
606 Patrona I 2004 9305178
607 Navig8 Achroite 2016 9727584
608 Golden Chie 2010 9566203
609 Bay Dignity 2017 9806706
610 Marmotas 2005 9304344
611 Global Pioneer 2010 9542142
612 Ds Cougar 2009 9515292
613 Mtm Houston 2010 9505924
614 Stolt Commitment 2000 9168647
615 Songa Peace 2009 9409522
616 Nave Polaris 2011 9457749
617 Southern Unicorn 2018 9749702
618 Tiger Glory 2017 9749025
619 Rabigh Sun 2008 9392365
620 Stolt Pride 2016 9680073
621 Ct Confidence 2006 9340427
622 Bow Neon 2017 9777369
623 Griya Bugis 1998 9191280
624 Nocturne 2020 9804863
625 Raon Teresa 2002 9244984
626 Nordic Ann 2010 9422665
627 Yc Daisy 2005 9304344
628 Stolt Seagull 1997 9125645
629 Fairchem Pinnacle 2025 NULL
630 Azalea Galaxy 2006 9343778
631 Stolt Rindo 2005 9314765
632 Navig8 Sky 2016 9731731
633 Rt Star 2011 9523835
634 Ctg Argon 2016 9739288
635 Navig8 Ametrine 2015 9714513
636 Stolt Palm 2018 9764506
637 Hicri Kaan 1998 9171474
638 Chemtrans Mobile 2016 9732802
639 Stolt Sycamore 2000 9198563
640 Bow Condor 2000 9214032
641 Bunga Lilac 2011 9542166
642 Southern Robin 2018 9749714
643 Bow Star 2004 9197296
644 Stolt Excellence 2018 9720081
645 Sagami 2008 9379911
646 Stolt Tsubaki 2011 9477543
647 Bow Chain 2002 9214317
648 Nq Laelia 2008 9393383
649 Rainbow Island 88 2004 9286542
650 Chembulk Vancouver 2003 9282364
651 Mtm Big Apple 2018 9774563
652 Bunga Laurel 2010 9529645
653 Stolt Apal 2016 9719240
654 Wawasan Topaz 2010 9565601
655 Sichem New York 2007 9337834
656 Fairchem Sword 2013 9673678
657 Shenghui Glory 2015 9724037
658 Navig8 Amazonite 2015 9719769
659 Bow Sun 2003 9197284
660 Mid Osprey 2006 9330783
661 Stolt Vision 2005 9274329
662 Celsius Messina 2007 9349655
663 Nordic Aki 2011 9505974
664 Stolt Selje 1993 8919051
665 Navig8 Goal 2019 9853216
666 Ginga Fortitude 2020 9805910
667 Yc NULL NULL
668 Stolt Spray 2000 9168611
669 Nq Morina 2002 9243382
670 Nordic Mari 2010 9422677
671 Golden Mercury 2003 9272802
672 Asian Pioneer 2015 9730971
673 Linken 2016 9733351
674 Lila Evia 2006 9330771
675 Mtm Fairfield 2002 9264465
676 Stolt Ebony 2017 9744908
677 Stolt Teal 1999 9199323
678 Mtm New Orleans 2016 9749398
679 Bow Engineer 2006 9317860
680 Lavraki 2007 9323077
681 Stolt Sandpiper 2011 9566758
682 Golden Sirius 2009 9478274
683 Fuji Lava 2010 9468528
684 Flumar Maceio 2006 9345893
685 Ginga Merlin 2002 9254252
686 Bow Glory 2017 9758038
687 Mtm Savannah 2015 9726750
688 Malbec Legacy 2016 9732826
689 Wolverine 2006 9043081
690 Forte Galaxy 2018 NULL
691 Uacc Marah 2013 9489091
692 Chem Neon 2018 9815264
693 Blue Arrow 2012 9630444
694 Xt Sea Lion 2025 1042378
695 Navig8 Universe 2013 9489106
696 Sunny Orion 2010 9511143
697 Stolt Betula 2003 9266267
698 Stolt Suisen 1998 9156577
699 Bow Spring 2004 9215256
700 Bow Cardinal 1997 9114244
701 Bow Platinum 2018 9777383
702 Mtm Hudson 2004 9278064
703 Chem Cobalt 2016 9740770
704 Eva Bergen 2018 9800013
705 Latana 2000 9186352
706 Eastern Prosperity 2008 9383998
707 Bellis Theresa 2000 9192375
708 Chem Singapore 2015 9705768
709 Floyen 2016 9749790
710 Kaimon Galaxy 2012 9552472
711 Sunny Orion 2010 9511143
712 Chemstar River 2017 9758026
713 Fairchem Loyalty 2019 9791183
714 Nave Cosmos 2010 9457024
715 Bomar Lynx 2003 9043093
716 Bow Fagus 1995 9047764
717 Stolt Osprey 1998 9147461
718 Bunga Lavender 2010 9542130
719 Lauren 2002 9266229
720 Tiger Harmony 2016 9725859
721 Fairchem Hawk 2019 9804813
722 Sandro 2017 9390525
723 Bow Odyssey 2020 9818539
724 Horin Trader 2015 9724051
725 Bow Caroline 2009 9367554
726 Chem Gallium 2017 9740782
727 Ginga Kite 2001 9228291
728 Summer Ploeg 2017 9790464
729 Wawasan Ruby 2010 9477517
730 Menuett 2019 9790634
731 Acadia Park 2018 9780548
732 Sun Neptune 2007 9363807
733 Marigold 2000 9221669
734 Chemroad Haya 2004 9303649
735 Ginga Bobcat 2010 9472737
736 Key Wind 1999 9148960
737 Uacc Riyadh 2011 9458834
738 Bochem Bayard 2017 9749025
739 Bow Titanium 2018 9777395
740 Ebony Ray 2008 9363857
741 Stolt Viking 2001 9196711
742 Mtm Westport 2005 9317858
743 Mtm Key West 2020 9790672
744 Navig8 Aquamarine 2015 9711573
745 Chem Amsterdam 2013 9640138
746 Fairchem Honor 2019 9860207
747 Stolt Sincerity 2016 9680085
748 Woojin Chemi 2003 9272814
749 Sichem Mumbai 2006 9322085
750 Pacific Sapphire 2008 9508158
751 Jbu Onyx 2008 9392999
752 Southern Wolf 2019 9867267
753 Stolt Calluna 2017 9744893
754 Bow Sky 2005 9215268
755 Chem Polaris 2008 9416044
756 Southern Condor 2007 9441659
757 Golden Sagittarius 2019 9867073
758 Chemroad Sakura 2018 9757967
759 Navig8 Alabaster 2015 9727572
760 Prabhu Parvati 2008 NULL
761 Sun Edelweiss 2018 9570589
762 Fairchem Aldebaran 2017 9552666
763 Stolt Capability 1998 9102124
764 Straum 2010 9406726
765 Cypress Galaxy 2007 9379973
766 Stolt Vanguard 2004 9274305
767 Mtm Antwerp 2004 9291456
768 Diva 2017 9760548
769 Bow Fuling 2012 9504190
770 Navig8 Amessi 2015 9719745
771 Stolt Sequoia 2003 9235062
772 Golden Dream 2002 9255971
773 Bochem Luxembourg 2015 9737565
774 Stolt Sagaland 2008 9352200
775 Harmonics 2019 9799680
776 Alessandro Dp 2007 9384162
777 Battersea Park 2002 9255983
778 Gallop 2019 9799678
779 Kiso 2008 9379894
780 Chemroad Wing 2005 9309502
781 Sc Citrine 2025 9989027
782 Vari Trader 2018 9800025
783 Bow Aquarius 2016 9753791
784 Fairchem Charger 2009 9367401
785 Elm Galaxy 2006 9331256
786 Stolt Auk 2001 9164108
787 Beech Galaxy 2007 9340441
788 Lilac Ray 2020 9883481
789 Fairchem Mako 2018 9826574
790 Argent Iris 2011 9459280
791 Celsius Birdie 2009 9423724
792 Golden Altair 2016 9792163
793 Celsius Mexico 2008 9408798
794 Woojin Frank 2005 9317262
795 Birdie Trader 2016 9724099
796 Liberty 2009 9423542

239
Reference Data/python_project/scripts/backup/2026-02-06/check_proteus_custom_fields.py Normal file
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@@ -0,0 +1,239 @@
from proteus import config, Model
import psycopg2
# XML-RPC Configuration (default connection method)
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database inspection)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
print("="*80)
print("CUSTOM FIELDS IDENTIFICATION FOR purchase.purchase")
print("="*80)
# Connect to Tryton via XML-RPC
print(f"\nConnecting via XML-RPC to {SERVER_URL}...")
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully\n")
Purchase = Model.get('purchase.purchase')
# Get all fields that Proteus sees
proteus_fields = sorted([key for key in dir(Purchase)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find',
'copy', 'read', 'write', 'search']])
print(f"1. FIELDS VISIBLE TO PROTEUS: {len(proteus_fields)} fields")
print("-"*80)
# Standard Tryton purchase.purchase fields (from base module)
standard_purchase_fields = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'lines', 'invoices', 'invoices_ignored', 'invoices_recreated',
'invoice_lines', 'invoice_lines_ignored', 'moves',
'shipment_state', 'invoice_state', 'number', 'reference',
'shipments', 'shipment_returns', 'rec_name', 'origin',
'untaxed_amount', 'tax_amount', 'total_amount',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache',
'delivery_date', 'party_lang', 'contact', 'xml_id'
}
# Identify potential custom fields
potential_custom_fields = [f for f in proteus_fields if f not in standard_purchase_fields]
print(f"\n2. POTENTIAL CUSTOM FIELDS: {len(potential_custom_fields)} fields")
print("-"*80)
for field in potential_custom_fields:
print(f" - {field}")
# Connect to PostgreSQL to get actual table columns
print(f"\n3. COLUMNS IN POSTGRESQL TABLE 'purchase_purchase'")
print("-"*80)
try:
conn = psycopg2.connect(
dbname=DATABASE_NAME,
host=DB_HOST,
port=DB_PORT,
user=DB_USER,
password=DB_PASSWORD
)
cursor = conn.cursor()
# Get all columns from purchase_purchase table
cursor.execute("""
SELECT
column_name,
data_type,
character_maximum_length,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'purchase_purchase'
ORDER BY ordinal_position;
""")
db_columns = cursor.fetchall()
print(f"Total columns in database: {len(db_columns)}\n")
# Standard columns that typically exist in purchase_purchase
standard_db_columns = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'number', 'reference', 'delivery_date', 'contact',
'shipment_state', 'invoice_state', 'origin',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache'
}
db_column_names = [col[0] for col in db_columns]
custom_db_columns = [col for col in db_columns if col[0] not in standard_db_columns]
print("Custom columns in database:")
for col in custom_db_columns:
col_name, data_type, max_length, nullable, default = col
length_info = f"({max_length})" if max_length else ""
print(f" - {col_name:<30} {data_type}{length_info:<15} NULL: {nullable}")
# Compare: Fields in Proteus vs Columns in DB
print(f"\n4. COMPARISON: PROTEUS vs DATABASE")
print("-"*80)
# Fields in Proteus but NOT as direct columns in DB (might be related fields, functions, etc.)
proteus_only = set(potential_custom_fields) - set(db_column_names)
if proteus_only:
print(f"\nFields in Proteus but NOT as columns in DB ({len(proteus_only)}):")
print("(These might be Many2One, One2Many, Function fields, etc.)")
for field in sorted(proteus_only):
print(f" - {field}")
# Columns in DB but NOT visible in Proteus (these are the problem!)
db_only = set([col[0] for col in custom_db_columns]) - set(proteus_fields)
if db_only:
print(f"\n⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS ({len(db_only)}):")
print("(These fields MUST be added to the Python model!)")
for field in sorted(db_only):
print(f" - {field}")
# Fields that exist in BOTH Proteus and DB
both = set(potential_custom_fields) & set([col[0] for col in custom_db_columns])
if both:
print(f"\n✓ Custom fields properly defined in BOTH Proteus and DB ({len(both)}):")
for field in sorted(both):
print(f" - {field}")
cursor.close()
conn.close()
except Exception as e:
print(f"Error connecting to PostgreSQL: {e}")
# Test persistence of custom fields
print(f"\n5. TESTING FIELD PERSISTENCE")
print("-"*80)
try:
# Find a draft purchase to test
drafts = Purchase.find([('state', '=', 'draft')], limit=1)
if drafts:
test_purchase = drafts[0]
test_id = test_purchase.id
print(f"Testing with purchase ID: {test_id}")
print("\nTesting custom fields (attempting to set and save):\n")
# Test a sample of custom fields
test_fields = {}
# Add fields to test if they exist
if 'reference' in potential_custom_fields:
test_fields['reference'] = 'TEST_REF'
if 'crop' in potential_custom_fields:
test_fields['crop'] = 'TEST_CROP'
if 'forex' in potential_custom_fields:
test_fields['forex'] = 'TEST_FOREX'
if 'broker' in potential_custom_fields:
test_fields['broker'] = 'TEST_BROKER'
if 'certif' in potential_custom_fields:
test_fields['certif'] = 'TEST_CERT'
if 'wb' in potential_custom_fields:
test_fields['wb'] = 'TEST_WB'
for field_name, test_value in test_fields.items():
try:
original_value = getattr(test_purchase, field_name, None)
setattr(test_purchase, field_name, test_value)
test_purchase.save()
# Reload
reloaded = Purchase(test_id)
new_value = getattr(reloaded, field_name, None)
if new_value == test_value:
print(f" ✓ {field_name}: PERSISTS correctly")
# Restore original value
setattr(reloaded, field_name, original_value)
reloaded.save()
else:
print(f" ✗ {field_name}: Does NOT persist (expected: '{test_value}', got: '{new_value}')")
except Exception as e:
print(f" ✗ {field_name}: Error - {str(e)[:60]}")
else:
print("No draft purchases found for testing")
except Exception as e:
print(f"Error during persistence testing: {e}")
print("\n" + "="*80)
print("SUMMARY & RECOMMENDATIONS")
print("="*80)
print("""
Next steps for your colleague:
1. Review the "⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS" section
→ These fields exist in PostgreSQL but are missing from the Python model
2. Review fields that "Does NOT persist" in the testing section
→ These fields are visible but not working correctly
3. Add missing fields to your custom Tryton module:
File: modules/your_custom_module/purchase.py
from trytond.pool import PoolMeta
from trytond.model import fields
class Purchase(metaclass=PoolMeta):
__name__ = 'purchase.purchase'
# Add each missing field with appropriate type:
custom_field = fields.Char('Custom Field')
custom_number = fields.Integer('Custom Number')
custom_date = fields.Date('Custom Date')
custom_many2one = fields.Many2One('other.model', 'Reference')
# etc...
4. Increment module version in tryton.cfg
5. Update module: trytond-admin -d tradon -u your_custom_module
6. Restart Tryton server
7. Re-run this script to verify all fields work correctly
""")

46
Reference Data/python_project/scripts/backup/2026-02-06/check_proteus_data_model.py Normal file
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@@ -0,0 +1,46 @@
from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# Connect via XML-RPC
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print(f"Connected to Tryton database '{DATABASE_NAME}' successfully!")
# Get the model using Model.get()
Purchase = Model.get('purchase.purchase')
try:
# Try to get any existing record or create new (without saving)
purchases = Purchase.find([], limit=1)
if purchases:
sample = purchases[0]
else:
sample = Purchase()
# Get field names from the instance
field_names = sorted([key for key in dir(sample)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find']])
print(f"\nTotal fields in purchase.purchase: {len(field_names)}")
print("\nField list:")
for field in field_names:
print(f"{field}")
except Exception as e:
print(f"Could not inspect fields via instance: {e}")
except Exception as e:
print(f"Connection or operation failed: {e}")
print("\nPlease verify:")
print(f" - Tryton server is running on {SERVER_URL}")
print(f" - Database '{DATABASE_NAME}' exists")
print(f" - Username and password are correct")

35
Reference Data/python_project/scripts/backup/2026-02-06/check_proteus_diagnostic.py Normal file
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@@ -0,0 +1,35 @@
from proteus import config, Model
# Connect
config.set_xmlrpc(f'https://admin:dsproject@itsa.open-squared.tech/tradon/')
Purchase = Model.get('purchase.purchase')
# Test: Set number on draft purchase
print("=== Testing Number Field Persistence ===")
draft = Purchase(682) # The ID from your previous test
print(f"Before: number = {draft.number}, state = {draft.state}")
# Set number
draft.number = "MANUAL_TEST_001"
draft.save()
print(f"After save: number = {draft.number}")
# Reload by fetching again from database
draft_reloaded = Purchase(682)
print(f"After reload: number = {draft_reloaded.number}")
if draft_reloaded.number == "MANUAL_TEST_001":
print("✓ SUCCESS: Number WAS persisted via Proteus!")
else:
print(f"✗ FAILED: Number NOT persisted. Got: {draft_reloaded.number}")
print("\nThis means the 'number' field is likely:")
print(" 1. Read-only (controlled by Tryton workflow)")
print(" 2. Auto-generated by a sequence")
print(" 3. Overwritten by server-side logic")
# Now verify in PostgreSQL
print("\n=== Verify in PostgreSQL ===")
print("Run this SQL query to confirm:")
print("SELECT id, number, state FROM purchase_purchase WHERE id = 682;")

44
Reference Data/python_project/scripts/backup/2026-02-06/check_proteus_purchase_contract.py Normal file
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@@ -0,0 +1,44 @@
from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
Purchase = Model.get('purchase.purchase')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
# Récupération des records
company = Company(6)
party = Party(2776)
# Création de la commande d'achat
purchase = Purchase()
purchase.company = company
purchase.party = party
purchase.currency = company.currency
purchase.tol_min = Decimal(1)
purchase.wb = Wb(1)
# Ligne d'achat
product = Product(12) # id du produit
line = purchase.lines.new()
line.product = product
line.quantity = 10
line.unit_price = product.cost_price
# Sauvegarde
purchase.save()
print(f"Purchase créée : {purchase.id}")

45
Reference Data/python_project/scripts/backup/2026-02-06/check_proteus_sale_contract.py Normal file
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@@ -0,0 +1,45 @@
from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
sale = Model.get('sale.sale')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
Location = Model.get('stock.location')
# Récupération des records
company = Company(6)
party = Party(2789)
fromLocation = Location(1247)
# Création de la commande de vente
sale = sale()
sale.company = company
sale.party = party
sale.currency = company.currency
sale.tol_min = Decimal(1)
sale.wb = Wb(1)
sale.from_location = fromLocation
# Ligne d'achat
#product = Product(12) # id du produit
# line = sale.lines.new()
# line.product = product
# line.quantity = 10
# line.unit_price = product.cost_price
# Sauvegarde
sale.save()
print(f"sale créée : {sale.id}")

11
Reference Data/python_project/scripts/backup/2026-02-06/debug_config.py Normal file
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@@ -0,0 +1,11 @@
import sys
from pathlib import Path
# Add parent directory to Python path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
# Debug: Print what's available in config
import helpers.config as cfg
print("Available in config:", dir(cfg))
print("PURCHASE_FEES_CSV value:", getattr(cfg, 'PURCHASE_FEES_CSV', 'NOT FOUND'))

398
Reference Data/python_project/scripts/backup/2026-02-06/import_parties.py Normal file
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@@ -0,0 +1,398 @@
import csv
from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Parties.csv'
# Default values
DEFAULT_COUNTRY = 'US' # Default country code if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_country(country_code):
"""Find country by code"""
Country = Model.get('country.country')
if not country_code:
country_code = DEFAULT_COUNTRY
countries = Country.find([('code', '=', country_code.upper())])
if countries:
return countries[0]
else:
print(f" ⚠ Warning: Country '{country_code}' not found, using '{DEFAULT_COUNTRY}'")
default_countries = Country.find([('code', '=', DEFAULT_COUNTRY)])
if default_countries:
return default_countries[0]
# Get first available country as last resort
all_countries = Country.find([])
if all_countries:
print(f" ⚠ Using first available country: {all_countries[0].name}")
return all_countries[0]
raise ValueError("No countries found in database!")
def get_subdivision(country, subdivision_code):
"""Find country subdivision (state/province) by code"""
if not subdivision_code:
return None
Subdivision = Model.get('country.subdivision')
# Search for subdivision with matching code and country
subdivisions = Subdivision.find([
('code', '=', f"{country.code}-{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
# Try without country prefix
subdivisions = Subdivision.find([
('code', 'ilike', f"%{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
print(f" ⚠ Warning: Subdivision '{subdivision_code}' not found for country {country.code}")
return None
def check_party_exists_by_name(name):
"""Check if party with given name already exists"""
Party = Model.get('party.party')
parties = Party.find([('name', '=', name)])
return parties[0] if parties else None
def create_party_with_addresses(row):
"""Create a new party with address(es) using proteus"""
Party = Model.get('party.party')
Address = Model.get('party.address')
# Create party - let Tryton auto-generate the code
party = Party()
party.name = row['name']
if row.get('tax_identifier'):
party.tax_identifier = row['tax_identifier']
if row.get('vat_code'):
party.vat_code = row['vat_code']
# Save the party FIRST (without addresses)
party.save()
# Check if we have meaningful address data
# Require at least street OR city to be present (not empty)
has_street = bool(row.get('street'))
has_city = bool(row.get('city'))
has_postal_code = bool(row.get('postal_code'))
has_country = bool(row.get('country_code'))
# Create address only if we have at least street OR city
if has_street or has_city:
address = Address()
# Link to the party we just created
address.party = party
if row.get('address_name'):
address.name = row['address_name']
if has_street:
address.street = row['street']
if has_city:
address.city = row['city']
# Use postal_code instead of zip
if has_postal_code:
address.postal_code = row['postal_code']
# Get country
if has_country:
country_code = row['country_code']
country = get_country(country_code)
else:
country = get_country(DEFAULT_COUNTRY)
address.country = country
# Get subdivision (state/province) if provided
if row.get('subdivision_code'):
subdivision = get_subdivision(country, row['subdivision_code'])
if subdivision:
address.subdivision = subdivision
# Save the address separately
address.save()
# Clean up any empty addresses that might have been auto-created
# Reload party to get fresh data
party = Party(party.id)
# Find and delete empty addresses
addresses_to_delete = []
for addr in party.addresses:
# Consider an address empty if it has no street, city, or postal_code
is_empty = (
(not addr.street or not addr.street.strip()) and
(not addr.city or not addr.city.strip()) and
(not addr.postal_code or not addr.postal_code.strip())
)
if is_empty:
addresses_to_delete.append(addr)
# Delete empty addresses
if addresses_to_delete:
Address.delete(addresses_to_delete)
print(f" ℹ Cleaned up {len(addresses_to_delete)} empty address(es)")
# Reload party one more time to return clean data
party = Party(party.id)
return party
def import_parties(csv_file):
"""Import parties from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing parties from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
name = row.get('name', '').strip()
tax_identifier = row.get('tax_identifier', '').strip()
vat_code = row.get('vat_code', '').strip()
# Address fields
address_name = row.get('address_name', '').strip()
street = row.get('street', '').strip()
city = row.get('city', '').strip()
# Handle both 'zip' and 'postal_code' column names
postal_code = row.get('postal_code', '').strip() or row.get('zip', '').strip()
country_code = row.get('country_code', '').strip()
subdivision_code = row.get('subdivision_code', '').strip()
# Skip empty rows
if not name:
continue
# Skip if postal_code is 'NULL' or '0'
if postal_code and postal_code.upper() in ['NULL', '0']:
postal_code = ''
print(f"Processing Row {row_num}: {name}")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if party already exists in database
existing_party = check_party_exists_by_name(name)
if existing_party:
print(f" ⚠ Party '{name}' already exists with code: {existing_party.code}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Create the party with address
row_data = {
'name': name,
'tax_identifier': tax_identifier,
'vat_code': vat_code,
'address_name': address_name,
'street': street,
'city': city,
'postal_code': postal_code,
'country_code': country_code,
'subdivision_code': subdivision_code
}
party = create_party_with_addresses(row_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created party")
print(f" Party ID: {party.id}")
print(f" Auto-generated Code: {party.code}")
print(f" Name: {name}")
if tax_identifier:
print(f" Tax Identifier: {tax_identifier}")
if vat_code:
print(f" VAT Code: {vat_code}")
if party.addresses:
print(f" Addresses: {len(party.addresses)}")
for addr in party.addresses:
addr_street = (addr.street[:50] + '...') if addr.street and len(addr.street) > 50 else (addr.street or 'N/A')
addr_city = addr.city if addr.city else 'N/A'
addr_postal = addr.postal_code if addr.postal_code else 'N/A'
print(f" - {addr_street}")
print(f" {addr_city}, {addr_postal}")
else:
print(f" Addresses: 0 (no address data provided)")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} parties")
print(f"Skipped (already exist or duplicates): {skipped_count} parties")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported parties"""
Party = Model.get('party.party')
print(f"\n{'='*70}")
print("VERIFICATION - Parties")
print(f"{'='*70}\n")
# Find all parties (or limit to recently created ones)
parties = Party.find([], order=[('id', 'DESC')])
if parties:
print(f"Found {len(parties)} parties (showing last 20):\n")
print(f"{'Code':<15} {'Name':<40} {'Addresses':<10}")
print("-" * 70)
for party in parties[:20]: # Show last 20 created
code = party.code or 'N/A'
name = party.name[:39] if party.name else 'N/A'
addr_count = len(party.addresses) if party.addresses else 0
print(f"{code:<15} {name:<40} {addr_count:<10}")
else:
print("No parties found")
print()
def list_available_countries():
"""List all available countries"""
print(f"\n{'='*70}")
print("AVAILABLE COUNTRIES (first 20)")
print(f"{'='*70}\n")
Country = Model.get('country.country')
countries = Country.find([])
if countries:
print(f"Found {len(countries)} countries:\n")
for country in countries[:20]: # Show first 20
print(f" - {country.code}: {country.name}")
if len(countries) > 20:
print(f" ... and {len(countries) - 20} more")
else:
print("No countries found")
print()
def main():
print("="*70)
print("TRYTON PARTY IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Party codes will be auto-generated by Tryton")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available countries
# Uncomment if you want to see what's available in your database
# list_available_countries()
# Import parties
import_parties(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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import sys
from pathlib import Path
# Add parent directory to Python path so we can import helpers
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import csv
from decimal import Decimal
from proteus import config, Model
from helpers.config import (
PURCHASE_FEES_CSV,
connect_to_tryton)
from helpers.tryton_helpers import (
find_party_by_name,
find_product_by_code,
find_purchase_contract_by_ref,
find_contract_line_by_sequence,
find_currency_by_code,
parse_decimal,
find_supplier_category,
ensure_party_is_supplier,
find_fee_mode_by_name,
find_payable_receivable_by_name,
get_existing_fees_for_line,
fee_already_exists)
# CSV Configuration
CSV_FILE_PATH = PURCHASE_FEES_CSV
# Import options
AUTO_ENABLE_SUPPLIER = True # Set to False to skip auto-enabling supplier flag
SKIP_NON_SUPPLIERS = False # Set to True to skip parties that aren't suppliers
def import_purchase_contract_fees(csv_file):
"""Import purchase contract line fees from CSV"""
print(f"{'='*70}")
print("IMPORTING PURCHASE CONTRACT LINE FEES")
print(f"{'='*70}\n")
# Get models
try:
PurchaseLineFee = Model.get('fee.fee')
except Exception as e:
print(f"✗ Error: Could not load fee.fee model - {e}")
print("Please ensure the model name is correct for your Tryton customization")
return
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
current_contract_ref = None
current_contract = None
current_line_sequence = None
current_line = None
for row_num, row in enumerate(reader, start=2): # Start at 2 (header is row 1)
try:
# Extract data from CSV
contract_ref = row.get('contract_ref', '').strip()
line_sequence = row.get('line_sequence', '').strip()
product_code = row.get('product', '').strip()
supplier_name = row.get('supplier', '').strip()
currency_code = row.get('currency', '').strip()
p_r_value = row.get('p_r', '').strip()
mode_name = row.get('mode', '').strip()
price_value = row.get('price', '').strip()
unit_value = row.get('unit', '').strip()
print(f"Processing row {row_num}: {contract_ref} - Line {line_sequence} - {product_code}")
# Validate required fields
if not contract_ref:
print(f" ✗ Skipping: Missing contract_ref\n")
skipped_count += 1
continue
if not line_sequence:
print(f" ✗ Skipping: Missing line_sequence\n")
skipped_count += 1
continue
if not product_code:
print(f" ✗ Skipping: Missing product\n")
skipped_count += 1
continue
# Cache contract and line if same as previous row
if contract_ref != current_contract_ref:
current_contract = find_purchase_contract_by_ref(contract_ref)
current_contract_ref = contract_ref
current_line_sequence = None
current_line = None
if not current_contract:
print(f" ✗ Skipping: Contract not found\n")
skipped_count += 1
continue
# Cache line if same as previous row
if line_sequence != current_line_sequence:
current_line = find_contract_line_by_sequence(current_contract, line_sequence)
current_line_sequence = line_sequence
if not current_line:
print(f" ✗ Skipping: Contract line not found\n")
skipped_count += 1
continue
# Find related records
product = find_product_by_code(product_code)
if not product:
print(f" ✗ Skipping: Product not found\n")
skipped_count += 1
continue
supplier = find_party_by_name(supplier_name)
if not supplier:
print(f" ✗ Skipping: Supplier not found\n")
skipped_count += 1
continue
# Ensure party has SUPPLIER category
supplier, is_supplier = ensure_party_is_supplier(supplier, auto_enable=AUTO_ENABLE_SUPPLIER)
if not is_supplier:
if SKIP_NON_SUPPLIERS:
print(f" ⚠ Skipping purchase - party does not have SUPPLIER category\n")
skipped_count += 1
current_purchase = None
continue
else:
error_msg = f"Row {row_num}: Party '{supplier.rec_name}' does not have SUPPLIER category"
errors.append(error_msg)
error_count += 1
current_purchase = None
continue
currency = find_currency_by_code(currency_code)
if not currency:
print(f" ✗ Skipping: Currency not found\n")
skipped_count += 1
continue
# Parse price
price = parse_decimal(price_value, 'price')
if price is None:
print(f" ✗ Skipping: Invalid price\n")
skipped_count += 1
continue
# Determine payable/receivable
payable_receivable = find_payable_receivable_by_name(p_r_value)
# Find fee mode
mode = find_fee_mode_by_name(mode_name)
# Check if fee already exists
existing_fees = get_existing_fees_for_line(current_line)
if fee_already_exists(existing_fees, product, supplier, price):
print(f" ○ Fee already exists for this line\n")
skipped_count += 1
continue
# Create the fee
fee = PurchaseLineFee()
fee.line = current_line
fee.product = product
fee.supplier = supplier
fee.currency = currency
fee.price = price
# Set type if found and field exists
if mode and hasattr(fee, 'type'):
fee.type = 'ordered' # Assuming all imported fees are 'ordered'
# Set weight_type if found and field exists
if mode and hasattr(fee, 'weight_type'):
fee.weight_type = 'brut'
# Set p_r (payable or receivable) if found and field exists
if mode and hasattr(fee, 'p_r'):
fee.p_r = payable_receivable
# Set mode if found and field exists
if mode and hasattr(fee, 'mode'):
fee.mode = mode
# Set unit if field exists
if unit_value and hasattr(fee, 'unit'):
# Try to find the unit
Unit = Model.get('product.uom')
units = Unit.find([('symbol', '=', unit_value)])
if not units:
units = Unit.find([('name', '=', unit_value)])
if units:
fee.unit = units[0]
# Save the fee
fee.save()
print(f" ✓ Fee created successfully")
print(f" Product: {product.rec_name}")
print(f" Supplier: {supplier.rec_name}")
print(f" Price: {price} {currency.code}")
print(f" Type: {payable_receivable}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {contract_ref}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} fees")
print(f"Skipped (missing data or already exist): {skipped_count} fees")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported purchase contract fees"""
print(f"\n{'='*70}")
print("VERIFICATION - Purchase Contract Line Fees")
print(f"{'='*70}\n")
try:
PurchaseLineFee = Model.get('fee.fee')
# Find all fees (or limit to recently created ones)
fees = PurchaseLineFee.find([], order=[('id', 'DESC')])
if fees:
print(f"Found {len(fees)} fees (showing last 50):\n")
print(f"{'ID':<8} {'Contract':<15} {'Product':<25} {'Supplier':<25} {'Price':<12} {'Type':<12}")
print("-" * 105)
for fee in fees[:50]: # Show last 50 created
fee_id = fee.id
# Get contract reference
contract_ref = 'N/A'
if hasattr(fee, 'line') and fee.line:
line = fee.line
if hasattr(line, 'purchase') and line.purchase:
contract = line.purchase
if hasattr(contract, 'reference') and contract.reference:
contract_ref = str(contract.reference)[:14]
product = fee.product.rec_name[:24] if hasattr(fee, 'product') and fee.product else 'N/A'
supplier = fee.supplier.rec_name[:24] if hasattr(fee, 'supplier') and fee.supplier else 'N/A'
price = f"{fee.price:.2f}" if hasattr(fee, 'price') and fee.price else 'N/A'
# Get type (payable/receivable)
fee_type = 'N/A'
if hasattr(fee, 'type'):
fee_type = fee.type
elif hasattr(fee, 'payable_receivable'):
fee_type = fee.payable_receivable
print(f"{fee_id:<8} {contract_ref:<15} {product:<25} {supplier:<25} {price:<12} {fee_type:<12}")
else:
print("No fees found")
print()
except Exception as e:
print(f"✗ Error during verification: {e}")
import traceback
traceback.print_exc()
def list_purchase_contracts():
"""List purchase contracts for debugging"""
Purchase = Model.get('purchase.purchase')
print(f"\n{'='*70}")
print("AVAILABLE PURCHASE CONTRACTS (first 20)")
print(f"{'='*70}")
contracts = Purchase.find([], order=[('id', 'DESC')], limit=20)
if contracts:
print(f"{'ID':<8} {'Reference':<20} {'Party':<30} {'State':<12}")
print("-" * 70)
for contract in contracts:
contract_id = contract.id
reference = contract.reference[:19] if contract.reference else 'N/A'
party = contract.party.rec_name[:29] if contract.party else 'N/A'
state = contract.state if contract.state else 'N/A'
print(f"{contract_id:<8} {reference:<20} {party:<30} {state:<12}")
# Show number of lines
if hasattr(contract, 'lines') and contract.lines:
print(f" Lines: {len(contract.lines)}")
else:
print("No purchase contracts found")
print(f"{'='*70}\n")
def main():
print("="*70)
print("TRYTON PURCHASE CONTRACT FEE IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List purchase contracts for debugging
# Uncomment the following line to see available contracts
# list_purchase_contracts()
# Import purchase contract fees
import_purchase_contract_fees(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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import csv
from proteus import config, Model
from decimal import Decimal
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'SERVICES' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
# Connect using XML-RPC with credentials in URL
#connection_url = f'{SERVER_URL}/{DATABASE_NAME}/'
#print(f'{USERNAME}:{PASSWORD}@{connection_url}')
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
#config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search by getting all and comparing
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, try to get default 'Unit'
print(f" ⚠ Warning: UOM '{uom_name}' not found, using '{DEFAULT_UOM}'")
default_uoms = Uom.find([('name', '=', DEFAULT_UOM)])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, categories, uom):
"""Create a new service product using proteus"""
Template = Model.get('product.template')
# Create template
template = Template()
template.name = row['name']
template.code = row['code']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price_method = 'fixed' # Services use fixed cost price
template.default_uom = uom
# Link to categories (Many2Many relationship)
# Use append() instead of direct assignment
if isinstance(categories, list):
template.categories.extend(categories) # Use extend for lists
else:
template.categories.append(categories) # Use append for single category
template.salable = False # Services are not salable products by default
template.purchasable = True # Services are purchasable
if row.get('description'):
template.description = row['description']
# Save the template first
template.save()
# Now update the product that was auto-created
# When a template is created, Tryton automatically creates a default product
if template.products:
product = template.products[0]
#product.code = row['code']
product.suffix_code = row['code'] # Use suffix_code to set product code
# Set cost price on the product
product.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
product.save()
return product
else:
raise ValueError("No product was created automatically with template")
def import_services(csv_file):
"""Import services from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip() or '0.00'
cost_price = row.get('cost_price', '0.00').strip() or '0.00'
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...\n")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product")
print(f" Product ID: {product.id}, Template ID: {product.template.id}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<30} {'Categories':<25} {'Sale Price':<12}")
print("-" * 85)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:29] if product.template.name else 'N/A'
# Get categories (Many2Many relationship)
if product.template.categories:
categories = ', '.join([cat.name for cat in product.template.categories])
categories = categories[:24]
else:
categories = 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<30} {categories:<25} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
symbol = f"({uom.symbol})" if hasattr(uom, 'symbol') and uom.symbol else ""
print(f" - {uom.name} {symbol}")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

310
Reference Data/python_project/scripts/backup/2026-02-06/import_services.py Normal file
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import csv
from proteus import config, Model
from decimal import Decimal
# Configuration
DATABASE_NAME = 'tradon'
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'Services' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton database"""
print(f"Connecting to Tryton database: {DATABASE_NAME}")
try:
#config.set_trytond(DATABASE_NAME)
config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, return Unit (default)
print(f" ⚠ Warning: UOM '{uom_name}' not found, using 'Unit'")
default_uoms = Uom.find([('name', '=', 'Unit')])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, category, uom):
"""Create a new service product"""
Product = Model.get('product.product')
Template = Model.get('product.template')
# Create template first
template = Template()
template.name = row['name']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
template.default_uom = uom
template.category = category
template.salable = True
template.purchasable = False # Services typically not purchased
if row.get('description'):
template.description = row['description']
template.save()
# Create product variant
product = Product()
product.template = template
product.code = row['code']
product.save()
return product
def import_services(csv_file):
"""Import services from CSV file"""
Product = Model.get('product.product')
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip()
cost_price = row.get('cost_price', '0.00').strip()
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product: {name}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<35} {'Category':<20} {'Sale Price':<12}")
print("-" * 80)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:34] if product.template.name else 'N/A'
category = product.template.category.name if product.template.category else 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<35} {category:<20} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
print(f" - {uom.name} (Symbol: {uom.symbol if hasattr(uom, 'symbol') else 'N/A'})")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT (using Proteus)")
print("="*70)
print()
# Connect to Tryton
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

397
Reference Data/python_project/scripts/backup/2026-02-06/import_stock_locations_v3.py Normal file
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import csv
import psycopg2
from proteus import config, Model
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Customer_Stock_Locations.csv'
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database access)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
# Default values
DEFAULT_TYPE = 'storage' # Default location type if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_db_connection():
"""Get PostgreSQL database connection"""
try:
conn = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
database=DATABASE_NAME,
user=DB_USER,
password=DB_PASSWORD
)
return conn
except Exception as e:
print(f"✗ Database connection failed: {e}")
return None
def update_location_coordinates(location_id, latitude, longitude):
"""Update location coordinates directly in PostgreSQL"""
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update coordinates - database connection failed")
return False
try:
cursor = conn.cursor()
# Update lat and lon columns
update_query = """
UPDATE stock_location
SET lat = %s, lon = %s
WHERE id = %s
"""
cursor.execute(update_query, (latitude, longitude, location_id))
rows_affected = cursor.rowcount
conn.commit()
cursor.close()
conn.close()
return rows_affected > 0
except Exception as e:
print(f" ⚠ Error updating coordinates: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def check_location_exists_by_name(name):
"""Check if location with given name already exists"""
Location = Model.get('stock.location')
locations = Location.find([('name', '=', name)])
return locations[0] if locations else None
def validate_location_type(loc_type):
"""Validate location type"""
valid_types = [
'supplier', 'customer', 'lost_found', 'warehouse',
'storage', 'production', 'drop', 'rental', 'view'
]
if not loc_type or loc_type.lower() not in valid_types:
print(f" ⚠ Warning: Invalid type '{loc_type}', using default '{DEFAULT_TYPE}'")
return DEFAULT_TYPE
return loc_type.lower()
def parse_coordinate(value, coord_name):
"""Parse and validate coordinate value"""
if not value or value == '':
return None
# Handle 'NULL' or similar string values
if isinstance(value, str) and value.strip().upper() in ['NULL', 'NONE', 'N/A', '']:
return None
try:
coord = float(value)
# Validate latitude range (-90 to 90)
if coord_name == 'latitude':
if coord < -90 or coord > 90:
print(f" ⚠ Warning: Latitude {coord} out of range (-90 to 90)")
return None
# Validate longitude range (-180 to 180)
if coord_name == 'longitude':
if coord < -180 or coord > 180:
print(f" ⚠ Warning: Longitude {coord} out of range (-180 to 180)")
return None
return coord
except (ValueError, TypeError) as e:
print(f" ⚠ Warning: Invalid {coord_name} value '{value}' - {e}")
return None
def create_location(row):
"""Create a new location using proteus"""
Location = Model.get('stock.location')
# Create location
location = Location()
location.name = row['name']
location.type = row['type']
# Save the location first
location.save()
# Get coordinates and save them
latitude = row.get('latitude')
longitude = row.get('longitude')
# Update coordinates directly in database if provided
if latitude is not None or longitude is not None:
success = update_location_coordinates(location.id, latitude, longitude)
if not success:
print(f" ⚠ Location created but coordinates not saved")
return location, latitude, longitude
def import_locations(csv_file):
"""Import locations from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing locations from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values - get directly from CSV columns
name = row.get('name', '').strip()
loc_type = row.get('type', '').strip() or DEFAULT_TYPE
lat_raw = row.get('lat', '').strip()
lon_raw = row.get('lon', '').strip()
# Skip empty rows
if not name:
continue
print(f"Processing Row {row_num}: {name}")
print(f" CSV Raw values - lat: '{lat_raw}', lon: '{lon_raw}'")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if location already exists in database
existing_location = check_location_exists_by_name(name)
if existing_location:
print(f" ⚠ Location '{name}' already exists (ID: {existing_location.id})")
print(f" Type: {existing_location.type}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Validate location type
loc_type = validate_location_type(loc_type)
# Parse coordinates
latitude = parse_coordinate(lat_raw, 'latitude')
longitude = parse_coordinate(lon_raw, 'longitude')
print(f" Parsed values - lat: {latitude}, lon: {longitude}")
# Create the location with parsed data
location_data = {
'name': name,
'type': loc_type,
'latitude': latitude,
'longitude': longitude
}
location, saved_lat, saved_lon = create_location(location_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created location")
print(f" Location ID: {location.id}")
print(f" Name: {name}")
print(f" Type: {loc_type}")
if saved_lat is not None:
print(f" Latitude: {saved_lat}")
if saved_lon is not None:
print(f" Longitude: {saved_lon}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name if 'name' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} locations")
print(f"Skipped (already exist or duplicates): {skipped_count} locations")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported locations with coordinates from database"""
Location = Model.get('stock.location')
print(f"\n{'='*70}")
print("VERIFICATION - Stock Locations")
print(f"{'='*70}\n")
# Get database connection to read coordinates
conn = get_db_connection()
if not conn:
print("Cannot verify - database connection failed")
return
# Find all locations (or limit to recently created ones)
locations = Location.find([], order=[('id', 'DESC')])
if locations:
print(f"Found {len(locations)} locations (showing last 20):\n")
print(f"{'ID':<8} {'Name':<35} {'Type':<12} {'Lat':<12} {'Lon':<12}")
print("-" * 85)
for location in locations[:20]: # Show last 20 created
loc_id = location.id
name = location.name[:34] if location.name else 'N/A'
loc_type = location.type if location.type else 'N/A'
# Get coordinates from database
lat = 'N/A'
lon = 'N/A'
try:
cursor = conn.cursor()
cursor.execute(
"SELECT lat, lon FROM stock_location WHERE id = %s",
(loc_id,)
)
result = cursor.fetchone()
if result:
lat = f"{result[0]:.6f}" if result[0] is not None else 'N/A'
lon = f"{result[1]:.6f}" if result[1] is not None else 'N/A'
cursor.close()
except Exception as e:
print(f"Error reading coordinates for location {loc_id}: {e}")
print(f"{loc_id:<8} {name:<35} {loc_type:<12} {lat:<12} {lon:<12}")
conn.close()
else:
print("No locations found")
print()
def main():
print("="*70)
print("TRYTON STOCK LOCATION IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Using Direct PostgreSQL for lat/lon coordinates")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Test database connection
print("Testing PostgreSQL connection...")
conn = get_db_connection()
if conn:
print("✓ PostgreSQL connection successful")
# Test if lat/lon columns exist
try:
cursor = conn.cursor()
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'stock_location'
AND column_name IN ('lat', 'lon')
""")
columns = cursor.fetchall()
cursor.close()
if columns:
print("✓ Found lat/lon columns in stock_location table:")
for col in columns:
print(f" - {col[0]}: {col[1]}")
else:
print("✗ WARNING: lat/lon columns NOT found in stock_location table!")
print(" Coordinates will not be saved!")
except Exception as e:
print(f" Could not verify columns: {e}")
conn.close()
print()
else:
print("✗ PostgreSQL connection failed")
print("Coordinates will not be saved!\n")
return 1
# Import locations
import_locations(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

165
Reference Data/python_project/scripts/backup/2026-02-06/import_vessels.py Normal file
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import csv
import psycopg2
from datetime import datetime
# Database connection parameters
DB_CONFIG = {
'host': '72.61.163.139',
'port': 5433,
'database': 'tradon',
'user': 'postgres',
'password': 'dsproject'
}
# CSV file path
CSV_FILE = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Vessels.csv'
def import_vessels():
"""Import vessel data from CSV into trade_vessel table"""
print("=" * 60)
print("VESSEL IMPORT PROCESS STARTED")
print("=" * 60)
# Initialize connection and cursor objects
conn = None
cursor = None
try:
# Connect to PostgreSQL database
print(f"\n[1/4] Connecting to database...")
print(f" Host: {DB_CONFIG['host']}:{DB_CONFIG['port']}")
print(f" Database: {DB_CONFIG['database']}")
conn = psycopg2.connect(**DB_CONFIG)
cursor = conn.cursor()
print(" ✓ Database connection established")
# Read CSV file with UTF-8-BOM encoding to handle Excel-generated CSVs
print(f"\n[2/4] Reading CSV file...")
print(f" File: {CSV_FILE}")
with open(CSV_FILE, 'r', encoding='utf-8-sig') as file:
csv_reader = csv.DictReader(file)
# Initialize counters for tracking import results
insert_count = 0
skip_count = 0
print(" ✓ CSV file opened successfully")
print(f"\n[3/4] Processing vessel records...")
print("-" * 60)
# Process each row from CSV file
for row_num, row in enumerate(csv_reader, start=1):
# Extract and clean vessel data from CSV row
vessel_name = row['vessel_name'].strip()
# Convert empty strings to None for vessel_year
vessel_year = row['vessel_year'].strip() if row['vessel_year'].strip() else None
# Convert empty strings and 'NULL' text to None for vessel_imo
vessel_imo = row['vessel_imo'].strip() if row['vessel_imo'].strip() and row['vessel_imo'].upper() != 'NULL' else None
print(f"\nRow {row_num}: Processing '{vessel_name}'")
print(f" Year: {vessel_year if vessel_year else 'N/A'}")
print(f" IMO: {vessel_imo if vessel_imo else 'N/A'}")
# Check if vessel already exists in database to avoid duplicates
cursor.execute("""
SELECT id FROM trade_vessel
WHERE vessel_name = %s AND vessel_imo = %s
""", (vessel_name, vessel_imo))
existing = cursor.fetchone()
# Skip insertion if vessel already exists
if existing:
print(f" ⚠ SKIPPED - Duplicate found (ID: {existing[0]})")
skip_count += 1
continue
# Insert new vessel record into trade_vessel table
cursor.execute("""
INSERT INTO trade_vessel
(vessel_name, vessel_year, vessel_imo, active, create_date, create_uid, write_date, write_uid)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
RETURNING id
""", (
vessel_name, # Vessel name from CSV
vessel_year, # Year vessel was built
vessel_imo, # IMO number (international maritime identifier)
True, # Set active flag to True
datetime.now(), # Record creation timestamp
1, # User ID who created the record
datetime.now(), # Record last modification timestamp
1 # User ID who last modified the record
))
# Get the ID of the newly inserted record
new_id = cursor.fetchone()[0]
# Increment insert counter and log success
insert_count += 1
print(f" ✓ INSERTED successfully (New ID: {new_id})")
print("-" * 60)
# Commit all inserts to database
print(f"\n[4/4] Committing transaction to database...")
conn.commit()
print(" ✓ Transaction committed successfully")
# Display import summary statistics
print("\n" + "=" * 60)
print("IMPORT SUMMARY")
print("=" * 60)
print(f"✓ Records inserted: {insert_count}")
print(f"⚠ Records skipped: {skip_count}")
print(f" Total processed: {insert_count + skip_count}")
print("=" * 60)
except psycopg2.Error as e:
# Rollback transaction if database error occurs
print("\n" + "!" * 60)
print("DATABASE ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
except FileNotFoundError:
# Handle case where CSV file doesn't exist
print("\n" + "!" * 60)
print("FILE NOT FOUND ERROR")
print("!" * 60)
print(f"CSV file not found: {CSV_FILE}")
print("Please check the file path and try again.")
print("!" * 60)
except Exception as e:
# Catch any other unexpected errors and rollback
print("\n" + "!" * 60)
print("UNEXPECTED ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
finally:
# Clean up database resources
print(f"\n[CLEANUP] Closing database connection...")
if cursor:
cursor.close()
print(" ✓ Cursor closed")
if conn:
conn.close()
print(" ✓ Connection closed")
print("\n" + "=" * 60)
print("VESSEL IMPORT PROCESS COMPLETED")
print("=" * 60 + "\n")
# Execute import when script is run directly
if __name__ == "__main__":
import_vessels()

239
Reference Data/python_project/scripts/backup/2026-02-10/check_proteus_custom_fields.py Normal file
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from proteus import config, Model
import psycopg2
# XML-RPC Configuration (default connection method)
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database inspection)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
print("="*80)
print("CUSTOM FIELDS IDENTIFICATION FOR purchase.purchase")
print("="*80)
# Connect to Tryton via XML-RPC
print(f"\nConnecting via XML-RPC to {SERVER_URL}...")
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully\n")
Purchase = Model.get('purchase.purchase')
# Get all fields that Proteus sees
proteus_fields = sorted([key for key in dir(Purchase)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find',
'copy', 'read', 'write', 'search']])
print(f"1. FIELDS VISIBLE TO PROTEUS: {len(proteus_fields)} fields")
print("-"*80)
# Standard Tryton purchase.purchase fields (from base module)
standard_purchase_fields = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'lines', 'invoices', 'invoices_ignored', 'invoices_recreated',
'invoice_lines', 'invoice_lines_ignored', 'moves',
'shipment_state', 'invoice_state', 'number', 'reference',
'shipments', 'shipment_returns', 'rec_name', 'origin',
'untaxed_amount', 'tax_amount', 'total_amount',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache',
'delivery_date', 'party_lang', 'contact', 'xml_id'
}
# Identify potential custom fields
potential_custom_fields = [f for f in proteus_fields if f not in standard_purchase_fields]
print(f"\n2. POTENTIAL CUSTOM FIELDS: {len(potential_custom_fields)} fields")
print("-"*80)
for field in potential_custom_fields:
print(f" - {field}")
# Connect to PostgreSQL to get actual table columns
print(f"\n3. COLUMNS IN POSTGRESQL TABLE 'purchase_purchase'")
print("-"*80)
try:
conn = psycopg2.connect(
dbname=DATABASE_NAME,
host=DB_HOST,
port=DB_PORT,
user=DB_USER,
password=DB_PASSWORD
)
cursor = conn.cursor()
# Get all columns from purchase_purchase table
cursor.execute("""
SELECT
column_name,
data_type,
character_maximum_length,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'purchase_purchase'
ORDER BY ordinal_position;
""")
db_columns = cursor.fetchall()
print(f"Total columns in database: {len(db_columns)}\n")
# Standard columns that typically exist in purchase_purchase
standard_db_columns = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'number', 'reference', 'delivery_date', 'contact',
'shipment_state', 'invoice_state', 'origin',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache'
}
db_column_names = [col[0] for col in db_columns]
custom_db_columns = [col for col in db_columns if col[0] not in standard_db_columns]
print("Custom columns in database:")
for col in custom_db_columns:
col_name, data_type, max_length, nullable, default = col
length_info = f"({max_length})" if max_length else ""
print(f" - {col_name:<30} {data_type}{length_info:<15} NULL: {nullable}")
# Compare: Fields in Proteus vs Columns in DB
print(f"\n4. COMPARISON: PROTEUS vs DATABASE")
print("-"*80)
# Fields in Proteus but NOT as direct columns in DB (might be related fields, functions, etc.)
proteus_only = set(potential_custom_fields) - set(db_column_names)
if proteus_only:
print(f"\nFields in Proteus but NOT as columns in DB ({len(proteus_only)}):")
print("(These might be Many2One, One2Many, Function fields, etc.)")
for field in sorted(proteus_only):
print(f" - {field}")
# Columns in DB but NOT visible in Proteus (these are the problem!)
db_only = set([col[0] for col in custom_db_columns]) - set(proteus_fields)
if db_only:
print(f"\n⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS ({len(db_only)}):")
print("(These fields MUST be added to the Python model!)")
for field in sorted(db_only):
print(f" - {field}")
# Fields that exist in BOTH Proteus and DB
both = set(potential_custom_fields) & set([col[0] for col in custom_db_columns])
if both:
print(f"\n✓ Custom fields properly defined in BOTH Proteus and DB ({len(both)}):")
for field in sorted(both):
print(f" - {field}")
cursor.close()
conn.close()
except Exception as e:
print(f"Error connecting to PostgreSQL: {e}")
# Test persistence of custom fields
print(f"\n5. TESTING FIELD PERSISTENCE")
print("-"*80)
try:
# Find a draft purchase to test
drafts = Purchase.find([('state', '=', 'draft')], limit=1)
if drafts:
test_purchase = drafts[0]
test_id = test_purchase.id
print(f"Testing with purchase ID: {test_id}")
print("\nTesting custom fields (attempting to set and save):\n")
# Test a sample of custom fields
test_fields = {}
# Add fields to test if they exist
if 'reference' in potential_custom_fields:
test_fields['reference'] = 'TEST_REF'
if 'crop' in potential_custom_fields:
test_fields['crop'] = 'TEST_CROP'
if 'forex' in potential_custom_fields:
test_fields['forex'] = 'TEST_FOREX'
if 'broker' in potential_custom_fields:
test_fields['broker'] = 'TEST_BROKER'
if 'certif' in potential_custom_fields:
test_fields['certif'] = 'TEST_CERT'
if 'wb' in potential_custom_fields:
test_fields['wb'] = 'TEST_WB'
for field_name, test_value in test_fields.items():
try:
original_value = getattr(test_purchase, field_name, None)
setattr(test_purchase, field_name, test_value)
test_purchase.save()
# Reload
reloaded = Purchase(test_id)
new_value = getattr(reloaded, field_name, None)
if new_value == test_value:
print(f" ✓ {field_name}: PERSISTS correctly")
# Restore original value
setattr(reloaded, field_name, original_value)
reloaded.save()
else:
print(f" ✗ {field_name}: Does NOT persist (expected: '{test_value}', got: '{new_value}')")
except Exception as e:
print(f" ✗ {field_name}: Error - {str(e)[:60]}")
else:
print("No draft purchases found for testing")
except Exception as e:
print(f"Error during persistence testing: {e}")
print("\n" + "="*80)
print("SUMMARY & RECOMMENDATIONS")
print("="*80)
print("""
Next steps for your colleague:
1. Review the "⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS" section
→ These fields exist in PostgreSQL but are missing from the Python model
2. Review fields that "Does NOT persist" in the testing section
→ These fields are visible but not working correctly
3. Add missing fields to your custom Tryton module:
File: modules/your_custom_module/purchase.py
from trytond.pool import PoolMeta
from trytond.model import fields
class Purchase(metaclass=PoolMeta):
__name__ = 'purchase.purchase'
# Add each missing field with appropriate type:
custom_field = fields.Char('Custom Field')
custom_number = fields.Integer('Custom Number')
custom_date = fields.Date('Custom Date')
custom_many2one = fields.Many2One('other.model', 'Reference')
# etc...
4. Increment module version in tryton.cfg
5. Update module: trytond-admin -d tradon -u your_custom_module
6. Restart Tryton server
7. Re-run this script to verify all fields work correctly
""")

46
Reference Data/python_project/scripts/backup/2026-02-10/check_proteus_data_model.py Normal file
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from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# Connect via XML-RPC
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print(f"Connected to Tryton database '{DATABASE_NAME}' successfully!")
# Get the model using Model.get()
Purchase = Model.get('purchase.purchase')
try:
# Try to get any existing record or create new (without saving)
purchases = Purchase.find([], limit=1)
if purchases:
sample = purchases[0]
else:
sample = Purchase()
# Get field names from the instance
field_names = sorted([key for key in dir(sample)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find']])
print(f"\nTotal fields in purchase.purchase: {len(field_names)}")
print("\nField list:")
for field in field_names:
print(f"{field}")
except Exception as e:
print(f"Could not inspect fields via instance: {e}")
except Exception as e:
print(f"Connection or operation failed: {e}")
print("\nPlease verify:")
print(f" - Tryton server is running on {SERVER_URL}")
print(f" - Database '{DATABASE_NAME}' exists")
print(f" - Username and password are correct")

35
Reference Data/python_project/scripts/backup/2026-02-10/check_proteus_diagnostic.py Normal file
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from proteus import config, Model
# Connect
config.set_xmlrpc(f'https://admin:dsproject@itsa.open-squared.tech/tradon/')
Purchase = Model.get('purchase.purchase')
# Test: Set number on draft purchase
print("=== Testing Number Field Persistence ===")
draft = Purchase(682) # The ID from your previous test
print(f"Before: number = {draft.number}, state = {draft.state}")
# Set number
draft.number = "MANUAL_TEST_001"
draft.save()
print(f"After save: number = {draft.number}")
# Reload by fetching again from database
draft_reloaded = Purchase(682)
print(f"After reload: number = {draft_reloaded.number}")
if draft_reloaded.number == "MANUAL_TEST_001":
print("✓ SUCCESS: Number WAS persisted via Proteus!")
else:
print(f"✗ FAILED: Number NOT persisted. Got: {draft_reloaded.number}")
print("\nThis means the 'number' field is likely:")
print(" 1. Read-only (controlled by Tryton workflow)")
print(" 2. Auto-generated by a sequence")
print(" 3. Overwritten by server-side logic")
# Now verify in PostgreSQL
print("\n=== Verify in PostgreSQL ===")
print("Run this SQL query to confirm:")
print("SELECT id, number, state FROM purchase_purchase WHERE id = 682;")

44
Reference Data/python_project/scripts/backup/2026-02-10/check_proteus_purchase_contract.py Normal file
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from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
Purchase = Model.get('purchase.purchase')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
# Récupération des records
company = Company(6)
party = Party(2776)
# Création de la commande d'achat
purchase = Purchase()
purchase.company = company
purchase.party = party
purchase.currency = company.currency
purchase.tol_min = Decimal(1)
purchase.wb = Wb(1)
# Ligne d'achat
product = Product(12) # id du produit
line = purchase.lines.new()
line.product = product
line.quantity = 10
line.unit_price = product.cost_price
# Sauvegarde
purchase.save()
print(f"Purchase créée : {purchase.id}")

45
Reference Data/python_project/scripts/backup/2026-02-10/check_proteus_sale_contract.py Normal file
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from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
sale = Model.get('sale.sale')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
Location = Model.get('stock.location')
# Récupération des records
company = Company(6)
party = Party(2789)
fromLocation = Location(1247)
# Création de la commande de vente
sale = sale()
sale.company = company
sale.party = party
sale.currency = company.currency
sale.tol_min = Decimal(1)
sale.wb = Wb(1)
sale.from_location = fromLocation
# Ligne d'achat
#product = Product(12) # id du produit
# line = sale.lines.new()
# line.product = product
# line.quantity = 10
# line.unit_price = product.cost_price
# Sauvegarde
sale.save()
print(f"sale créée : {sale.id}")

11
Reference Data/python_project/scripts/backup/2026-02-10/debug_config.py Normal file
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import sys
from pathlib import Path
# Add parent directory to Python path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
# Debug: Print what's available in config
import helpers.config as cfg
print("Available in config:", dir(cfg))
print("PURCHASE_FEES_CSV value:", getattr(cfg, 'PURCHASE_FEES_CSV', 'NOT FOUND'))

398
Reference Data/python_project/scripts/backup/2026-02-10/import_parties.py Normal file
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import csv
from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Parties.csv'
# Default values
DEFAULT_COUNTRY = 'US' # Default country code if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_country(country_code):
"""Find country by code"""
Country = Model.get('country.country')
if not country_code:
country_code = DEFAULT_COUNTRY
countries = Country.find([('code', '=', country_code.upper())])
if countries:
return countries[0]
else:
print(f" ⚠ Warning: Country '{country_code}' not found, using '{DEFAULT_COUNTRY}'")
default_countries = Country.find([('code', '=', DEFAULT_COUNTRY)])
if default_countries:
return default_countries[0]
# Get first available country as last resort
all_countries = Country.find([])
if all_countries:
print(f" ⚠ Using first available country: {all_countries[0].name}")
return all_countries[0]
raise ValueError("No countries found in database!")
def get_subdivision(country, subdivision_code):
"""Find country subdivision (state/province) by code"""
if not subdivision_code:
return None
Subdivision = Model.get('country.subdivision')
# Search for subdivision with matching code and country
subdivisions = Subdivision.find([
('code', '=', f"{country.code}-{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
# Try without country prefix
subdivisions = Subdivision.find([
('code', 'ilike', f"%{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
print(f" ⚠ Warning: Subdivision '{subdivision_code}' not found for country {country.code}")
return None
def check_party_exists_by_name(name):
"""Check if party with given name already exists"""
Party = Model.get('party.party')
parties = Party.find([('name', '=', name)])
return parties[0] if parties else None
def create_party_with_addresses(row):
"""Create a new party with address(es) using proteus"""
Party = Model.get('party.party')
Address = Model.get('party.address')
# Create party - let Tryton auto-generate the code
party = Party()
party.name = row['name']
if row.get('tax_identifier'):
party.tax_identifier = row['tax_identifier']
if row.get('vat_code'):
party.vat_code = row['vat_code']
# Save the party FIRST (without addresses)
party.save()
# Check if we have meaningful address data
# Require at least street OR city to be present (not empty)
has_street = bool(row.get('street'))
has_city = bool(row.get('city'))
has_postal_code = bool(row.get('postal_code'))
has_country = bool(row.get('country_code'))
# Create address only if we have at least street OR city
if has_street or has_city:
address = Address()
# Link to the party we just created
address.party = party
if row.get('address_name'):
address.name = row['address_name']
if has_street:
address.street = row['street']
if has_city:
address.city = row['city']
# Use postal_code instead of zip
if has_postal_code:
address.postal_code = row['postal_code']
# Get country
if has_country:
country_code = row['country_code']
country = get_country(country_code)
else:
country = get_country(DEFAULT_COUNTRY)
address.country = country
# Get subdivision (state/province) if provided
if row.get('subdivision_code'):
subdivision = get_subdivision(country, row['subdivision_code'])
if subdivision:
address.subdivision = subdivision
# Save the address separately
address.save()
# Clean up any empty addresses that might have been auto-created
# Reload party to get fresh data
party = Party(party.id)
# Find and delete empty addresses
addresses_to_delete = []
for addr in party.addresses:
# Consider an address empty if it has no street, city, or postal_code
is_empty = (
(not addr.street or not addr.street.strip()) and
(not addr.city or not addr.city.strip()) and
(not addr.postal_code or not addr.postal_code.strip())
)
if is_empty:
addresses_to_delete.append(addr)
# Delete empty addresses
if addresses_to_delete:
Address.delete(addresses_to_delete)
print(f" ℹ Cleaned up {len(addresses_to_delete)} empty address(es)")
# Reload party one more time to return clean data
party = Party(party.id)
return party
def import_parties(csv_file):
"""Import parties from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing parties from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
name = row.get('name', '').strip()
tax_identifier = row.get('tax_identifier', '').strip()
vat_code = row.get('vat_code', '').strip()
# Address fields
address_name = row.get('address_name', '').strip()
street = row.get('street', '').strip()
city = row.get('city', '').strip()
# Handle both 'zip' and 'postal_code' column names
postal_code = row.get('postal_code', '').strip() or row.get('zip', '').strip()
country_code = row.get('country_code', '').strip()
subdivision_code = row.get('subdivision_code', '').strip()
# Skip empty rows
if not name:
continue
# Skip if postal_code is 'NULL' or '0'
if postal_code and postal_code.upper() in ['NULL', '0']:
postal_code = ''
print(f"Processing Row {row_num}: {name}")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if party already exists in database
existing_party = check_party_exists_by_name(name)
if existing_party:
print(f" ⚠ Party '{name}' already exists with code: {existing_party.code}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Create the party with address
row_data = {
'name': name,
'tax_identifier': tax_identifier,
'vat_code': vat_code,
'address_name': address_name,
'street': street,
'city': city,
'postal_code': postal_code,
'country_code': country_code,
'subdivision_code': subdivision_code
}
party = create_party_with_addresses(row_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created party")
print(f" Party ID: {party.id}")
print(f" Auto-generated Code: {party.code}")
print(f" Name: {name}")
if tax_identifier:
print(f" Tax Identifier: {tax_identifier}")
if vat_code:
print(f" VAT Code: {vat_code}")
if party.addresses:
print(f" Addresses: {len(party.addresses)}")
for addr in party.addresses:
addr_street = (addr.street[:50] + '...') if addr.street and len(addr.street) > 50 else (addr.street or 'N/A')
addr_city = addr.city if addr.city else 'N/A'
addr_postal = addr.postal_code if addr.postal_code else 'N/A'
print(f" - {addr_street}")
print(f" {addr_city}, {addr_postal}")
else:
print(f" Addresses: 0 (no address data provided)")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} parties")
print(f"Skipped (already exist or duplicates): {skipped_count} parties")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported parties"""
Party = Model.get('party.party')
print(f"\n{'='*70}")
print("VERIFICATION - Parties")
print(f"{'='*70}\n")
# Find all parties (or limit to recently created ones)
parties = Party.find([], order=[('id', 'DESC')])
if parties:
print(f"Found {len(parties)} parties (showing last 20):\n")
print(f"{'Code':<15} {'Name':<40} {'Addresses':<10}")
print("-" * 70)
for party in parties[:20]: # Show last 20 created
code = party.code or 'N/A'
name = party.name[:39] if party.name else 'N/A'
addr_count = len(party.addresses) if party.addresses else 0
print(f"{code:<15} {name:<40} {addr_count:<10}")
else:
print("No parties found")
print()
def list_available_countries():
"""List all available countries"""
print(f"\n{'='*70}")
print("AVAILABLE COUNTRIES (first 20)")
print(f"{'='*70}\n")
Country = Model.get('country.country')
countries = Country.find([])
if countries:
print(f"Found {len(countries)} countries:\n")
for country in countries[:20]: # Show first 20
print(f" - {country.code}: {country.name}")
if len(countries) > 20:
print(f" ... and {len(countries) - 20} more")
else:
print("No countries found")
print()
def main():
print("="*70)
print("TRYTON PARTY IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Party codes will be auto-generated by Tryton")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available countries
# Uncomment if you want to see what's available in your database
# list_available_countries()
# Import parties
import_parties(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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# Add parent directory to Python path so we can import helpers
import sys
from pathlib import Path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import psycopg2
import csv
from decimal import Decimal
from proteus import Model
from helpers.config import (
PURCHASE_CONTRACTS_CSV,
connect_to_tryton,
get_db_connection,
DB_CONFIG # Add this to your config
)
from helpers.tryton_helpers import (
parse_decimal,
parse_date,
ensure_party_is_supplier,
find_party_by_name,
find_uom_by_code,
find_currency_by_code,
find_warehouse,
find_location,
find_payment_term_by_name,
find_product_by_code,
find_incoterm_by_code,
find_weight_basis_by_name,
get_party_invoice_address,
find_purchase_contract_by_number
)
# Import migration mapping helper
from helpers.migration_mapping import MigrationMapper
# CSV Configuration
CSV_FILE_PATH = PURCHASE_CONTRACTS_CSV
# Default values
DEFAULT_STATE = 'draft'
DEFAULT_INVOICE_METHOD = 'manual'
DEFAULT_INVOICE_STATE = 'none'
DEFAULT_SHIPMENT_STATE = 'none'
# Import options
AUTO_ENABLE_SUPPLIERS = True # Set to False to skip auto-enabling supplier flag
SKIP_NON_SUPPLIERS = False # Set to True to skip parties that aren't suppliers
def update_purchase_custom_fields(purchase_id, custom_data):
"""Update custom fields in purchase using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# First, check what columns exist in purchase_purchase table
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'purchase_purchase'
AND column_name IN ('number')
ORDER BY column_name
""")
existing_columns = {row[0]: row[1] for row in cursor.fetchall()}
print(f" Available custom columns in purchase_purchase:")
for col_name, col_type in existing_columns.items():
print(f" - {col_name} ({col_type})")
# Build UPDATE query for custom fields
set_clauses = []
values = []
if 'number' in existing_columns and custom_data.get('number'):
set_clauses.append("number = %s")
values.append(custom_data['number'])
print(f" Adding number = {custom_data['number']}")
if set_clauses:
values.append(purchase_id)
update_query = f"""
UPDATE purchase_purchase
SET {', '.join(set_clauses)}
WHERE id = %s
"""
print(f" Executing UPDATE with fields: {', '.join([c.split('=')[0].strip() for c in set_clauses])}")
cursor.execute(update_query, values)
rows_affected = cursor.rowcount
conn.commit()
if rows_affected > 0:
print(f" ✓ {rows_affected} row(s) updated successfully")
else:
print(f" ⚠ No rows updated (purchase_id={purchase_id} not found?)")
else:
print(f" No custom fields to update (either no data provided or columns not found)")
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def update_line_custom_fields(line_id, custom_data):
"""Update custom fields in purchase line using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update line custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# Build UPDATE query for custom fields
set_clauses = []
values = []
if custom_data.get('from_del'):
set_clauses.append("from_del = %s")
values.append(custom_data['from_del'])
if custom_data.get('to_del'):
set_clauses.append("to_del = %s")
values.append(custom_data['to_del'])
if set_clauses:
values.append(line_id)
update_query = f"""
UPDATE purchase_line
SET {', '.join(set_clauses)}
WHERE id = %s
"""
cursor.execute(update_query, values)
conn.commit()
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating line custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_pricing_estimated(line_id, pricing_data):
"""Create pricing_estimated record using direct SQL"""
if not pricing_data or not pricing_data.get('trigger'):
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not create pricing estimate - database connection failed")
return False
try:
cursor = conn.cursor()
# Check if pricing_estimated table exists and what its structure is
cursor.execute("""
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'pricing_estimated'
ORDER BY ordinal_position
""")
columns = [row[0] for row in cursor.fetchall()]
if not columns:
print(f" Info: pricing_estimated table does not exist, skipping pricing estimate")
cursor.close()
conn.close()
return True
# Insert into pricing_estimated table
insert_query = """
INSERT INTO pricing_estimated (line, trigger, estimated_date, create_date, write_date, create_uid, write_uid)
VALUES (%s, %s, %s, NOW(), NOW(), 1, 1)
"""
cursor.execute(insert_query, (
line_id,
pricing_data['trigger'],
pricing_data.get('estimated_date')
))
conn.commit()
cursor.close()
conn.close()
print(f" ✓ Pricing estimate created successfully")
return True
except psycopg2.errors.ForeignKeyViolation as e:
# This is expected if pricing_estimated references purchase_line only
print(f" Info: Pricing estimate skipped (table references purchase_line only, not sale_line)")
if conn:
conn.rollback()
conn.close()
return True # Return True to continue processing
except Exception as e:
print(f" ⚠ Error creating pricing estimate: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def import_purchases(csv_file):
"""Import purchases from CSV file with migration mapping tracking"""
Purchase = Model.get('purchase.purchase')
PurchaseLine = Model.get('purchase.line')
print(f"{'='*70}")
print(f"IMPORTING PURCHASES FROM CSV")
print(f"{'='*70}\n")
print(f"Reading from: {csv_file}\n")
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Get company (assuming single company or default)
Company = Model.get('company.company')
companies = Company.find([])
if not companies:
print("✗ Error: No company found in the system")
return
company = companies[0]
print(f"Using company: {company.rec_name}\n")
# Collect all mappings for batch insert at the end
purchase_mappings = []
line_mappings = []
try:
# Initialize migration mapper
with MigrationMapper(DB_CONFIG) as mapper:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
row_num = 0
for row in reader:
row_num += 1
try:
# Extract fields from CSV
number = row.get('number', '').strip()
reference = row.get('reference', '').strip()
source_purchase_id = row.get('source_id', '').strip() # Source system ID
if not number:
print(f"Row {row_num}: Skipping - no number\n")
continue
print(f"{'='*70}")
print(f"Row {row_num}: Processing purchase {number}")
print(f"{'='*70}")
# CHECK IF ALREADY IMPORTED using migration mapper
if source_purchase_id:
existing_tryton_id = mapper.get_tryton_id('purchase_contract', source_purchase_id)
if existing_tryton_id:
print(f" ⏭ Purchase already imported (Source ID: {source_purchase_id} -> Tryton ID: {existing_tryton_id})")
skipped_count += 1
print()
continue
# Alternative: Check by number using existing helper
existing_purchase = find_purchase_contract_by_number(number)
if existing_purchase:
print(f" ⏭ Purchase {number} already exists (ID: {existing_purchase.id})")
# Save mapping even if it already exists (for reconciliation)
if source_purchase_id:
purchase_mappings.append({
'object_type': 'purchase_contract',
'source_id': source_purchase_id,
'tryton_model': 'purchase.purchase',
'tryton_id': existing_purchase.id,
'recon_key': number
})
skipped_count += 1
print()
continue
# Parse other fields
purchase_date = parse_date(row.get('purchase_date'))
party_name = row.get('party_name', '').strip()
# Find related records
party = find_party_by_name(party_name)
if not party:
raise ValueError(f"Party not found: {party_name}")
# Check party is supplier
if not ensure_party_is_supplier(party, auto_enable=AUTO_ENABLE_SUPPLIERS):
if SKIP_NON_SUPPLIERS:
print(f" ⏭ Skipping - party {party_name} is not a supplier\n")
skipped_count += 1
continue
else:
raise ValueError(f"Party {party_name} is not a supplier")
# Reload party after category addition to get fresh data
Party = Model.get('party.party')
party = Party(party.id)
# Find invoice address
invoice_address = get_party_invoice_address(party)
if not invoice_address:
raise ValueError(f"No invoice address found for party {party_name}")
# Parse additional fields
currency = find_currency_by_code(row.get('currency', 'USD'))
warehouse = find_warehouse(row.get('warehouse'))
payment_term = find_payment_term_by_name(row.get('payment_term'))
weight_basis_abbr = find_weight_basis_by_name(row.get('weight_basis'))
tol_min = parse_decimal(row.get('tol_min', ''), 'tol_min')
tol_max = parse_decimal(row.get('tol_max', ''), 'tol_max')
from_location_name = row.get('from_location_name', '').strip()
from_location = find_location(from_location_name)
to_location_name = row.get('to_location_name', '').strip()
to_location = find_location(to_location_name)
incoterm_code = row.get('incoterm_name', '').strip()
incoterm = find_incoterm_by_code(incoterm_code, 2025)
description = row.get('description', '').strip()
comment = row.get('comment', '').strip()
# CREATE PURCHASE
print(f" Creating purchase...")
purchase= Purchase()
purchase.company = company
purchase.reference = reference
purchase.party = party
purchase.invoice_address = invoice_address
purchase.purchase_date = purchase_date
purchase.currency = currency
if warehouse:
purchase.warehouse = warehouse
purchase.payment_term = payment_term
purchase.wb = weight_basis_abbr
purchase.tol_min = tol_min
purchase.tol_max = tol_max
purchase.incoterm = incoterm
purchase.from_location = from_location
purchase.to_location = to_location
purchase.description = description
purchase.comment = comment
purchase.state = DEFAULT_STATE
purchase.invoice_method = DEFAULT_INVOICE_METHOD
# Save the purchase
purchase.save()
print(f" ✓ Purchase created (ID: {purchase.id})")
# Update custom fields (like 'number')
custom_fields = {'number': number}
update_purchase_custom_fields(purchase.id, custom_fields)
# SAVE MIGRATION MAPPING for purchase
if source_purchase_id:
purchase_mappings.append({
'object_type': 'purchase_contract',
'source_id': source_purchase_id,
'tryton_model': 'purchase.purchase',
'tryton_id': purchase.id,
'recon_key': number
})
print(f" 📝 Mapping queued: Source {source_purchase_id} -> Tryton {purchase.id}")
# Process purchase lines
line_type = row.get('line_type', 'line').strip()
source_line_id = row.get('source_line_id', '').strip()
if line_type == 'line':
# Regular product line
product_code = row.get('line_product_code', '').strip()
quantity = parse_decimal(row.get('line_quantity', ''), 'quantity')
unit_price = parse_decimal(row.get('line_price', ''), 'unit_price')
product = find_product_by_code(product_code)
if not product:
raise ValueError(f"Product not found: {product_code}")
unit = find_uom_by_code(row.get('line_unit_code', ''))
# Parse shipping dates
from_del = parse_date(row.get('line_from_del', ''))
to_del = parse_date(row.get('line_to_del', ''))
# Create line
line = PurchaseLine()
line.purchase = purchase
line.type = 'line'
sequence = 1 # Default sequence, can be enhanced to handle multiple lines
line.sequence = sequence
line.product = product
line.quantity = quantity
line.unit = unit if unit else product.purchase_uom
line.unit_price = unit_price
line.from_del = from_del
line.to_del = to_del
# Optional fields
description = row.get('description', '').strip()
if description:
line.description = description
line.save()
# # Update line custom fields
# line_custom = {}
# from_del = row.get('from_del', '').strip()
# to_del = row.get('to_del', '').strip()
# if from_del:
# line_custom['from_del'] = from_del
# if to_del:
# line_custom['to_del'] = to_del
# if line_custom:
# update_line_custom_fields(line.id, line_custom)
# Create pricing estimate if applicable
pricing_trigger = row.get('pricing_trigger', '').strip()
pricing_estimated_date = parse_date(row.get('pricing_estimated_date', ''))
if pricing_trigger:
pricing_data = {
'trigger': pricing_trigger,
'estimated_date': pricing_estimated_date
}
create_pricing_estimated(line.id, pricing_data)
# SAVE MIGRATION MAPPING for line
if source_line_id:
line_mappings.append({
'object_type': 'purchase_line',
'source_id': source_line_id,
'tryton_model': 'purchase.line',
'tryton_id': line.id,
'recon_key': f"{number}-Line {sequence}-{product_code}"
})
print(f" ✓ Added line (ID: {line.id})")
print(f" Product: {product.rec_name}")
print(f" Quantity: {quantity}")
else:
# Comment, subtitle, or other line types
line = PurchaseLine()
line.purchase = purchase
line.type = line_type
line.description = row.get('description', '').strip()
line.save()
print(f" ✓ Added {line_type} line (ID: {line.id})")
imported_count += 1
print(f"✓ Successfully imported purchase {number}\n")
except Exception as e:
error_msg = f"Row {row_num} - {number if 'number' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# BATCH SAVE ALL MAPPINGS at the end
print(f"\n{'='*70}")
print("SAVING MIGRATION MAPPINGS")
print(f"{'='*70}\n")
if purchase_mappings:
print(f"Saving {len(purchase_mappings)} purchase mappings...")
mapper.save_mappings_batch(purchase_mappings)
print(f"✓ Purchase mappings saved\n")
if line_mappings:
print(f"Saving {len(line_mappings)} line mappings...")
mapper.save_mappings_batch(line_mappings)
print(f"✓ Line mappings saved\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} purchases")
print(f"Skipped (already exist): {skipped_count} purchases")
print(f"Errors: {error_count}")
print(f"Migration mappings saved: {len(purchase_mappings)} purchases, {len(line_mappings)} lines")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported purchases and their migration mappings"""
Purchase = Model.get('purchase.purchase')
print(f"\n{'='*70}")
print("VERIFICATION - Purchases and Migration Mappings")
print(f"{'='*70}\n")
# Find all purchases (or limit to recently created ones)
purchases = Purchase.find([], order=[('id', 'DESC')])
if purchases:
print(f"Found {len(purchases)} purchases (showing last 10):\n")
print(f"{'ID':<8} {'Number':<15} {'Reference':<15} {'Party':<25} {'State':<12} {'Source ID':<15}")
print("-" * 100)
# Initialize mapper to look up source IDs
with MigrationMapper(DB_CONFIG) as mapper:
for purchase in purchases[:10]: # Show last 10 created
purchase_id = purchase.id
# Get number from database since it's a custom field
conn = get_db_connection()
number = 'N/A'
if conn:
try:
cursor = conn.cursor()
cursor.execute("SELECT number FROM purchase_purchase WHERE id = %s", (purchase_id,))
result = cursor.fetchone()
if result and result[0]:
number = str(result[0])[:14]
cursor.close()
conn.close()
except:
if conn:
conn.close()
# Look up source ID from migration mapping
source_id = 'N/A'
try:
cursor = mapper.connection.cursor()
cursor.execute("""
SELECT source_id[1]
FROM public.os_migration_mapping
WHERE tryton_id = %s
AND 'purchase_contract' = ANY(object_type)
ORDER BY write_date DESC
LIMIT 1
""", (purchase_id,))
result = cursor.fetchone()
if result and result[0]:
source_id = str(result[0])[:14]
cursor.close()
except:
pass
reference = purchase.reference[:14] if purchase.reference else 'N/A'
party = purchase.party.rec_name[:24] if purchase.party else 'N/A'
state = purchase.state if purchase.state else 'N/A'
print(f"{purchase_id:<8} {number:<15} {reference:<15} {party:<25} {state:<12} {source_id:<15}")
# Show lines
if purchase.lines:
print(f" Lines: {len(purchase.lines)}")
for line in purchase.lines[:3]: # Show first 3 lines
if line.type == 'line' and line.product:
print(f" - {line.product.rec_name[:40]} | Qty: {line.quantity} | Price: {line.unit_price}")
else:
print(f" - [{line.type}] {(line.description or '')[:40]}")
else:
print("No purchases found")
print()
def check_mapping_stats():
"""Display statistics about migration mappings"""
print(f"\n{'='*70}")
print("MIGRATION MAPPING STATISTICS")
print(f"{'='*70}\n")
try:
with MigrationMapper(DB_CONFIG) as mapper:
cursor = mapper.connection.cursor()
# Count mappings by object type
cursor.execute("""
SELECT
object_type[1] as obj_type,
COUNT(*) as count,
MIN(write_date) as first_import,
MAX(write_date) as last_import
FROM public.os_migration_mapping
GROUP BY object_type[1]
ORDER BY count DESC
""")
results = cursor.fetchall()
if results:
print(f"{'Object Type':<25} {'Count':<10} {'First Import':<15} {'Last Import':<15}")
print("-" * 70)
for row in results:
obj_type = row[0] or 'N/A'
count = row[1]
first = row[2].strftime('%Y-%m-%d') if row[2] else 'N/A'
last = row[3].strftime('%Y-%m-%d') if row[3] else 'N/A'
print(f"{obj_type:<25} {count:<10} {first:<15} {last:<15}")
# Total count
cursor.execute("SELECT COUNT(*) FROM public.os_migration_mapping")
total = cursor.fetchone()[0]
print(f"\nTotal mappings: {total}")
else:
print("No migration mappings found")
cursor.close()
except Exception as e:
print(f"Error retrieving mapping statistics: {e}")
import traceback
traceback.print_exc()
print()
def prepare_parties_as_supplier(csv_file):
"""Pre-process: Add SUPPLIER category to all parties in CSV using Proteus"""
Party = Model.get('party.party')
Category = Model.get('party.category')
print(f"{'='*70}")
print(f"PREPARING PARTIES AS SUPPLIERS (via Categories)")
print(f"{'='*70}\n")
# Find SUPPLIER category
supplier_categories = Category.find([('name', '=', 'SUPPLIER')])
if not supplier_categories:
# Try case-insensitive
all_categories = Category.find([])
for cat in all_categories:
if cat.name.upper() == 'SUPPLIER':
supplier_categories = [cat]
break
if not supplier_categories:
print(f"✗ SUPPLIER category not found in the system!")
print(f"Please create a party category named 'SUPPLIER' first.\n")
return False
supplier_category = supplier_categories[0]
print(f"Found SUPPLIER category (ID: {supplier_category.id})\n")
party_names = set()
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
for row in reader:
party_name = row.get('party_name', '').strip()
if party_name:
party_names.add(party_name)
print(f"Found {len(party_names)} unique parties in CSV\n")
updated_count = 0
already_supplier_count = 0
not_found_count = 0
for party_name in party_names:
print(f"Processing party: {party_name}")
# Find party
parties = Party.find([('name', '=', party_name)])
if not parties:
parties = Party.find([('code', '=', party_name)])
if not parties:
print(f" ✗ Not found\n")
not_found_count += 1
continue
party = parties[0]
# Check if already has SUPPLIER category
has_supplier = False
if party.categories:
for cat in party.categories:
if cat.name.upper() == 'SUPPLIER':
has_supplier = True
break
if has_supplier:
print(f" ✓ Already has SUPPLIER category\n")
already_supplier_count += 1
continue
# Add SUPPLIER category using Proteus
try:
# Reload party and category in same context
party_to_update = Party(party.id)
supplier_cat = Category(supplier_category.id)
party_to_update.categories.append(supplier_cat)
party_to_update.save()
print(f" ✓ SUPPLIER category added\n")
updated_count += 1
except Exception as e:
print(f" ✗ Failed: {e}\n")
print(f"{'='*70}")
print(f"PREPARATION SUMMARY")
print(f"{'='*70}")
print(f"Already have SUPPLIER category: {already_supplier_count}")
print(f"SUPPLIER category added: {updated_count}")
print(f"Not found: {not_found_count}")
print(f"{'='*70}\n")
return True
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}\n")
return False
except Exception as e:
print(f"✗ Error: {e}\n")
import traceback
traceback.print_exc()
return False
def main():
print("="*70)
print("TRYTON PURCHASE IMPORT SCRIPT WITH MIGRATION MAPPING")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: Prepare all parties as suppliers first
# Uncomment the following line to mark all parties in CSV as suppliers before importing
prepare_parties_as_supplier(CSV_FILE_PATH)
# Import purchases with migration mapping
import_purchases(CSV_FILE_PATH)
# Verify import
verify_import()
# Show mapping statistics
check_mapping_stats()
return 0
if __name__ == '__main__':
exit(main())

364
Reference Data/python_project/scripts/backup/2026-02-10/import_purchase_fees.py Normal file
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import sys
from pathlib import Path
# Add parent directory to Python path so we can import helpers
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import csv
from decimal import Decimal
from proteus import config, Model
from helpers.config import (
PURCHASE_FEES_CSV,
connect_to_tryton)
from helpers.tryton_helpers import (
find_party_by_name,
find_product_by_code,
find_purchase_contract_by_ref,
find_contract_line_by_sequence,
find_currency_by_code,
parse_decimal,
find_supplier_category,
ensure_party_is_supplier,
find_fee_mode_by_name,
find_payable_receivable_by_name,
get_existing_fees_for_line,
fee_already_exists)
# CSV Configuration
CSV_FILE_PATH = PURCHASE_FEES_CSV
# Import options
AUTO_ENABLE_SUPPLIER = True # Set to False to skip auto-enabling supplier flag
SKIP_NON_SUPPLIERS = False # Set to True to skip parties that aren't suppliers
def import_purchase_contract_fees(csv_file):
"""Import purchase contract line fees from CSV"""
print(f"{'='*70}")
print("IMPORTING PURCHASE CONTRACT LINE FEES")
print(f"{'='*70}\n")
# Get models
try:
PurchaseLineFee = Model.get('fee.fee')
except Exception as e:
print(f"✗ Error: Could not load fee.fee model - {e}")
print("Please ensure the model name is correct for your Tryton customization")
return
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
current_contract_ref = None
current_contract = None
current_line_sequence = None
current_line = None
for row_num, row in enumerate(reader, start=2): # Start at 2 (header is row 1)
try:
# Extract data from CSV
contract_ref = row.get('contract_ref', '').strip()
line_sequence = row.get('line_sequence', '').strip()
product_code = row.get('product', '').strip()
supplier_name = row.get('supplier', '').strip()
currency_code = row.get('currency', '').strip()
p_r_value = row.get('p_r', '').strip()
mode_name = row.get('mode', '').strip()
price_value = row.get('price', '').strip()
unit_value = row.get('unit', '').strip()
print(f"Processing row {row_num}: {contract_ref} - Line {line_sequence} - {product_code}")
# Validate required fields
if not contract_ref:
print(f" ✗ Skipping: Missing contract_ref\n")
skipped_count += 1
continue
if not line_sequence:
print(f" ✗ Skipping: Missing line_sequence\n")
skipped_count += 1
continue
if not product_code:
print(f" ✗ Skipping: Missing product\n")
skipped_count += 1
continue
# Cache contract and line if same as previous row
if contract_ref != current_contract_ref:
current_contract = find_purchase_contract_by_ref(contract_ref)
current_contract_ref = contract_ref
current_line_sequence = None
current_line = None
if not current_contract:
print(f" ✗ Skipping: Contract not found\n")
skipped_count += 1
continue
# Cache line if same as previous row
if line_sequence != current_line_sequence:
current_line = find_contract_line_by_sequence(current_contract, line_sequence)
current_line_sequence = line_sequence
if not current_line:
print(f" ✗ Skipping: Contract line not found\n")
skipped_count += 1
continue
# Find related records
product = find_product_by_code(product_code)
if not product:
print(f" ✗ Skipping: Product not found\n")
skipped_count += 1
continue
supplier = find_party_by_name(supplier_name)
if not supplier:
print(f" ✗ Skipping: Supplier not found\n")
skipped_count += 1
continue
# Ensure party has SUPPLIER category
supplier, is_supplier = ensure_party_is_supplier(supplier, auto_enable=AUTO_ENABLE_SUPPLIER)
if not is_supplier:
if SKIP_NON_SUPPLIERS:
print(f" ⚠ Skipping purchase - party does not have SUPPLIER category\n")
skipped_count += 1
current_purchase = None
continue
else:
error_msg = f"Row {row_num}: Party '{supplier.rec_name}' does not have SUPPLIER category"
errors.append(error_msg)
error_count += 1
current_purchase = None
continue
currency = find_currency_by_code(currency_code)
if not currency:
print(f" ✗ Skipping: Currency not found\n")
skipped_count += 1
continue
# Parse price
price = parse_decimal(price_value, 'price')
if price is None:
print(f" ✗ Skipping: Invalid price\n")
skipped_count += 1
continue
# Determine payable/receivable
payable_receivable = find_payable_receivable_by_name(p_r_value)
# Find fee mode
mode = find_fee_mode_by_name(mode_name)
# Check if fee already exists
existing_fees = get_existing_fees_for_line(current_line)
if fee_already_exists(existing_fees, product, supplier, price):
print(f" ○ Fee already exists for this line\n")
skipped_count += 1
continue
# Create the fee
fee = PurchaseLineFee()
fee.line = current_line
fee.product = product
fee.supplier = supplier
fee.currency = currency
fee.price = price
# Set type if found and field exists
if mode and hasattr(fee, 'type'):
fee.type = 'ordered' # Assuming all imported fees are 'ordered'
# Set weight_type if found and field exists
if mode and hasattr(fee, 'weight_type'):
fee.weight_type = 'brut'
# Set p_r (payable or receivable) if found and field exists
if mode and hasattr(fee, 'p_r'):
fee.p_r = payable_receivable
# Set mode if found and field exists
if mode and hasattr(fee, 'mode'):
fee.mode = mode
# Set unit if field exists
if unit_value and hasattr(fee, 'unit'):
# Try to find the unit
Unit = Model.get('product.uom')
units = Unit.find([('symbol', '=', unit_value)])
if not units:
units = Unit.find([('name', '=', unit_value)])
if units:
fee.unit = units[0]
# Save the fee
fee.save()
print(f" ✓ Fee created successfully")
print(f" Product: {product.rec_name}")
print(f" Supplier: {supplier.rec_name}")
print(f" Price: {price} {currency.code}")
print(f" Type: {payable_receivable}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {contract_ref}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} fees")
print(f"Skipped (missing data or already exist): {skipped_count} fees")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported purchase contract fees"""
print(f"\n{'='*70}")
print("VERIFICATION - Purchase Contract Line Fees")
print(f"{'='*70}\n")
try:
PurchaseLineFee = Model.get('fee.fee')
# Find all fees (or limit to recently created ones)
fees = PurchaseLineFee.find([], order=[('id', 'DESC')])
if fees:
print(f"Found {len(fees)} fees (showing last 50):\n")
print(f"{'ID':<8} {'Contract':<15} {'Product':<25} {'Supplier':<25} {'Price':<12} {'Type':<12}")
print("-" * 105)
for fee in fees[:50]: # Show last 50 created
fee_id = fee.id
# Get contract reference
contract_ref = 'N/A'
if hasattr(fee, 'line') and fee.line:
line = fee.line
if hasattr(line, 'purchase') and line.purchase:
contract = line.purchase
if hasattr(contract, 'reference') and contract.reference:
contract_ref = str(contract.reference)[:14]
product = fee.product.rec_name[:24] if hasattr(fee, 'product') and fee.product else 'N/A'
supplier = fee.supplier.rec_name[:24] if hasattr(fee, 'supplier') and fee.supplier else 'N/A'
price = f"{fee.price:.2f}" if hasattr(fee, 'price') and fee.price else 'N/A'
# Get type (payable/receivable)
fee_type = 'N/A'
if hasattr(fee, 'type'):
fee_type = fee.type
elif hasattr(fee, 'payable_receivable'):
fee_type = fee.payable_receivable
print(f"{fee_id:<8} {contract_ref:<15} {product:<25} {supplier:<25} {price:<12} {fee_type:<12}")
else:
print("No fees found")
print()
except Exception as e:
print(f"✗ Error during verification: {e}")
import traceback
traceback.print_exc()
def list_purchase_contracts():
"""List purchase contracts for debugging"""
Purchase = Model.get('purchase.purchase')
print(f"\n{'='*70}")
print("AVAILABLE PURCHASE CONTRACTS (first 20)")
print(f"{'='*70}")
contracts = Purchase.find([], order=[('id', 'DESC')], limit=20)
if contracts:
print(f"{'ID':<8} {'Reference':<20} {'Party':<30} {'State':<12}")
print("-" * 70)
for contract in contracts:
contract_id = contract.id
reference = contract.reference[:19] if contract.reference else 'N/A'
party = contract.party.rec_name[:29] if contract.party else 'N/A'
state = contract.state if contract.state else 'N/A'
print(f"{contract_id:<8} {reference:<20} {party:<30} {state:<12}")
# Show number of lines
if hasattr(contract, 'lines') and contract.lines:
print(f" Lines: {len(contract.lines)}")
else:
print("No purchase contracts found")
print(f"{'='*70}\n")
def main():
print("="*70)
print("TRYTON PURCHASE CONTRACT FEE IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List purchase contracts for debugging
# Uncomment the following line to see available contracts
# list_purchase_contracts()
# Import purchase contract fees
import_purchase_contract_fees(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

913
Reference Data/python_project/scripts/backup/2026-02-10/import_sale_contracts.py Normal file
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# Add parent directory to Python path so we can import helpers
import sys
from pathlib import Path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import psycopg2
import csv
from decimal import Decimal
from proteus import Model
from helpers.config import (
SALE_CONTRACTS_CSV,
connect_to_tryton,
get_db_connection
)
from helpers.tryton_helpers import (
parse_decimal,
parse_date,
ensure_party_is_client,
find_party_by_name,
find_uom_by_code,
find_currency_by_code,
find_warehouse,
find_location,
find_payment_term_by_name,
find_product_by_code,
find_incoterm_by_code,
find_weight_basis_by_name,
get_party_invoice_address,
find_sale_contract_by_number
)
# CSV Configuration
CSV_FILE_PATH = SALE_CONTRACTS_CSV
# Default values
DEFAULT_STATE = 'draft'
DEFAULT_INVOICE_METHOD = 'manual'
DEFAULT_INVOICE_STATE = 'none'
DEFAULT_SHIPMENT_STATE = 'none'
# Import options
AUTO_ENABLE_CLIENT = True # Set to False to skip auto-enabling client flag
SKIP_NON_CLIENTS = False # Set to True to skip parties that aren't clients
def update_sale_custom_fields(sale_id, custom_data):
"""Update custom fields in sale using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# First, check what columns exist in sale_sale table
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'sale_sale'
AND column_name IN ('number')
ORDER BY column_name
""")
existing_columns = {row[0]: row[1] for row in cursor.fetchall()}
print(f" Available custom columns in sale_sale:")
for col_name, col_type in existing_columns.items():
print(f" - {col_name} ({col_type})")
# Build UPDATE query for custom fields
set_clauses = []
values = []
if 'number' in existing_columns and custom_data.get('number'):
set_clauses.append("number = %s")
values.append(custom_data['number'])
print(f" Adding number = {custom_data['number']}")
if set_clauses:
values.append(sale_id)
update_query = f"""
UPDATE sale_sale
SET {', '.join(set_clauses)}
WHERE id = %s
"""
print(f" Executing UPDATE with fields: {', '.join([c.split('=')[0].strip() for c in set_clauses])}")
cursor.execute(update_query, values)
rows_affected = cursor.rowcount
conn.commit()
if rows_affected > 0:
print(f" ✓ {rows_affected} row(s) updated successfully")
else:
print(f" ⚠ No rows updated (sale_id={sale_id} not found?)")
else:
print(f" No custom fields to update (either no data provided or columns not found)")
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def update_line_custom_fields(line_id, custom_data):
"""Update custom fields in sale line using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update line custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# Build UPDATE query for custom fields
set_clauses = []
values = []
if custom_data.get('from_del'):
set_clauses.append("from_del = %s")
values.append(custom_data['from_del'])
if custom_data.get('to_del'):
set_clauses.append("to_del = %s")
values.append(custom_data['to_del'])
if set_clauses:
values.append(line_id)
update_query = f"""
UPDATE sale_line
SET {', '.join(set_clauses)}
WHERE id = %s
"""
cursor.execute(update_query, values)
conn.commit()
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating line custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_pricing_estimated(line_id, pricing_data):
"""Create pricing_estimated record using direct SQL"""
if not pricing_data or not pricing_data.get('trigger'):
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not create pricing estimate - database connection failed")
return False
try:
cursor = conn.cursor()
# Check if pricing_estimated table exists and what its structure is
cursor.execute("""
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'pricing_estimated'
ORDER BY ordinal_position
""")
columns = [row[0] for row in cursor.fetchall()]
if not columns:
print(f" Info: pricing_estimated table does not exist, skipping pricing estimate")
cursor.close()
conn.close()
return True
# Insert into pricing_estimated table
# Note: This assumes the foreign key constraint allows sale_line references
# If it doesn't, this will fail gracefully
insert_query = """
INSERT INTO pricing_estimated (line, trigger, estimated_date, create_date, write_date, create_uid, write_uid)
VALUES (%s, %s, %s, NOW(), NOW(), 1, 1)
"""
cursor.execute(insert_query, (
line_id,
pricing_data['trigger'],
pricing_data.get('estimated_date')
))
conn.commit()
cursor.close()
conn.close()
print(f" ✓ Pricing estimate created successfully")
return True
except psycopg2.errors.ForeignKeyViolation as e:
# This is expected if pricing_estimated references purchase_line only
print(f" Info: Pricing estimate skipped (table references purchase_line only, not sale_line)")
if conn:
conn.rollback()
conn.close()
return True # Return True to continue processing
except Exception as e:
print(f" ⚠ Error creating pricing estimate: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_sale(row):
"""Create a new sale using proteus"""
Sale = Model.get('sale.sale')
# Create sale header
sale = Sale()
# Set company first (required for domain evaluation)
sale.company = row['company']
# Required fields
sale.party = row['party']
sale.currency = row['currency']
# Optional header fields
if row.get('reference'):
sale.reference = row['reference']
# if row.get('number'):
# sale.number = row['number']
if row.get('description'):
sale.description = row['description']
if row.get('sale_date'):
sale.sale_date = row['sale_date']
if row.get('warehouse'):
sale.warehouse = row['warehouse']
if row.get('payment_term'):
sale.payment_term = row['payment_term']
if row.get('invoice_method'):
sale.invoice_method = row['invoice_method']
else:
sale.invoice_method = DEFAULT_INVOICE_METHOD
if row.get('invoice_address'):
sale.invoice_address = row['invoice_address']
elif row['party']:
# Get default invoice address from party
invoice_address = get_party_invoice_address(row['party'])
if invoice_address:
sale.invoice_address = invoice_address
if row.get('comment'):
sale.comment = row['comment']
if row.get('wb'):
sale.wb = row['wb']
if row.get('tol_min'):
sale.tol_min = row['tol_min']
if row.get('tol_max'):
sale.tol_max = row['tol_max']
if row.get('from_location'):
sale.from_location = row['from_location']
if row.get('to_location'):
sale.to_location = row['to_location']
if row.get('incoterm'):
sale.incoterm = row['incoterm']
# State and status fields
sale.state = row.get('state', DEFAULT_STATE)
sale.invoice_state = DEFAULT_INVOICE_STATE
sale.shipment_state = DEFAULT_SHIPMENT_STATE
# Save sale header first
sale.save()
# Update custom fields via SQL if provided (including the number field)
custom_data = {}
if row.get('number') is not None:
custom_data['number'] = row['number']
if custom_data:
update_sale_custom_fields(sale.id, custom_data)
return sale
def create_sale_line(sale, line_data):
"""Create a sale line"""
Line = Model.get('sale.line')
line = Line()
line.sale = sale
line.type = line_data.get('type', 'line')
line.sequence = 1 # Default sequence, can be adjusted later if needed
if line.type == 'line':
# Product line
line.product = line_data['product']
line.quantity = line_data['quantity']
# Unit - use provided or default from product
if line_data.get('unit'):
line.unit = line_data['unit']
else:
line.unit = line_data['product'].sale_uom
line.unit_price = line_data['unit_price']
if line_data.get('description'):
line.description = line_data['description']
# Set taxes if provided
if line_data.get('taxes'):
line.taxes = line_data['taxes']
# Shipping date
if line_data.get('shipping_date'):
line.shipping_date_edit = True
line.shipping_date_store = line_data['shipping_date']
# Delivery dates
if line_data.get('from_del'):
line.from_del = line_data['from_del']
if line_data.get('to_del'):
line.to_del = line_data['to_del']
elif line.type in ['comment', 'title', 'subtotal']:
# Non-product lines
if line_data.get('description'):
line.description = line_data['description']
line.save()
# Update custom fields via SQL if provided
# custom_data = {}
# if line_data.get('from_del'):
# custom_data['from_del'] = line_data['from_del']
# if line_data.get('to_del'):
# custom_data['to_del'] = line_data['to_del']
# if custom_data:
# update_line_custom_fields(line.id, custom_data)
# Create pricing estimate if provided
pricing_data = {}
if line_data.get('pricing_trigger'):
pricing_data['trigger'] = line_data['pricing_trigger']
pricing_data['estimated_date'] = line_data.get('pricing_estimated_date')
create_pricing_estimated(line.id, pricing_data)
return line
def import_sales(csv_file):
"""Import sales from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Get company (assuming single company or default)
Company = Model.get('company.company')
companies = Company.find([])
if not companies:
print("✗ Error: No company found in the system")
return
company = companies[0]
print(f"Using company: {company.rec_name}\n")
# List available currencies for debugging
#available_currencies = list_available_currencies()
# List available payment terms for debugging
#available_payment_terms = list_available_payment_terms()
print(f"{'='*70}")
print(f"Importing sales from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected CSV columns: {reader.fieldnames}\n")
# Track current sale by number
sales_by_number = {}
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
number = row.get('number', '').strip()
reference = row.get('reference', '').strip()
party_name = row.get('party_name', '').strip()
# Skip empty rows
if not number and not party_name:
continue
print(f"Processing Row {row_num}: Number '{number}', Reference '{reference}'")
# Check if we need to create a new sale for this number
if number and number not in sales_by_number:
# New sale header
# Find required entities
party = find_party_by_name(party_name)
if not party:
error_msg = f"Row {row_num}: Party '{party_name}' not found"
errors.append(error_msg)
error_count += 1
continue
# Debug: Show party details
print(f" Found party: {party.rec_name}")
if hasattr(party, 'code'):
print(f" Code: {party.code}")
if hasattr(party, 'id'):
print(f" ID: {party.id}")
if hasattr(party, 'categories') and party.categories:
category_names = [cat.name for cat in party.categories]
print(f" Categories: {', '.join(category_names)}")
has_client = any(cat.name.upper() == 'CLIENT' for cat in party.categories)
print(f" Has CLIENT category: {has_client}")
else:
print(f" Categories: None")
# Ensure party has CLIENT category
if not ensure_party_is_client(party, auto_enable=AUTO_ENABLE_CLIENT):
if SKIP_NON_CLIENTS:
print(f" ⚠ Skipping sale - party does not have CLIENT category\n")
skipped_count += 1
continue
else:
error_msg = f"Row {row_num}: Party '{party.rec_name}' does not have CLIENT category"
errors.append(error_msg)
error_count += 1
continue
# Reload party after category addition to get fresh data
Party = Model.get('party.party')
party = Party(party.id)
# Check if sale already exists
existing_sale = find_sale_contract_by_number(number)
if existing_sale:
print(f" ⚠ Sale with number '{number}' for party '{party.rec_name}' already exists (ID: {existing_sale.id})")
skipped_count += 1
continue # Skip creating new sale if it already exists
# Continue to add line to existing sale or not or update existing one....
# To be decided based on requirements
# e.g: below will add lines to existing sale, but we need to check if that line already exists or not to avoid duplicates, or we can skip adding lines to existing sale to avoid complexity, etc.
# print(f" Using existing sale...\n")
# sales_by_number[number] = existing_sale
else:
# Find currency
currency_code = row.get('currency_code', '').strip() or 'USD'
print(f" Looking for currency: '{currency_code}'")
currency = find_currency_by_code(currency_code)
if not currency:
error_msg = f"Row {row_num}: Currency '{currency_code}' not found"
errors.append(error_msg)
error_count += 1
continue
# Optional fields
warehouse = None
warehouse_code = row.get('warehouse_code', '').strip()
if warehouse_code:
warehouse = find_warehouse(warehouse_code)
payment_term = None
payment_term_name = row.get('payment_term', '').strip()
if payment_term_name:
payment_term = find_payment_term_by_name(payment_term_name)
# Payment term is optional, so continue even if not found
if not payment_term:
print(f" Continuing without payment term")
# Parse dates
sale_date = parse_date(row.get('sale_date', ''))
# Find weight basis
wb = None
weight_basis_abbr = row.get('wb', '').strip()
print(f" Looking for weight basis: '{weight_basis_abbr}'")
if weight_basis_abbr:
wb = find_weight_basis_by_name(weight_basis_abbr)
if not wb:
print(f" Continuing without weight basis")
# Parse custom numeric fields
#number = parse_decimal(row.get('number', ''), 'number')
number = row.get('number', '').strip()
tol_min = parse_decimal(row.get('tol_min', ''), 'tol_min')
tol_max = parse_decimal(row.get('tol_max', ''), 'tol_max')
# Get locations by name
from_location = None
from_location_name = row.get('from_location_name', '').strip()
if from_location_name:
from_location_obj = find_location(from_location_name)
if from_location_obj:
from_location = from_location_obj
to_location = None
to_location_name = row.get('to_location_name', '').strip()
if to_location_name:
to_location_obj = find_location(to_location_name)
if to_location_obj:
to_location = to_location_obj
# Get incoterm 2025 by code
incoterm = None
incoterm_code = row.get('incoterm_name', '').strip()
if incoterm_code:
incoterm = find_incoterm_by_code(incoterm_code, 2025)
# Prepare sale data
sale_data = {
'reference': reference, # Keep reference field
'number': number, # Add number field (stored via SQL)
'party': party,
'company': company,
'currency': currency,
'sale_date': sale_date,
'warehouse': warehouse,
'payment_term': payment_term,
'invoice_method': row.get('invoice_method', '').strip() or DEFAULT_INVOICE_METHOD,
'description': row.get('description', '').strip(),
'comment': row.get('comment', '').strip(),
'state': row.get('state', '').strip() or DEFAULT_STATE,
'wb': wb,
'tol_min': tol_min,
'tol_max': tol_max,
'from_location': from_location,
'to_location': to_location,
'incoterm': incoterm,
}
# Create the sale
current_sale = create_sale(sale_data)
sales_by_number[number] = current_sale
print(f" ✓ Created sale header")
print(f" Sale ID: {current_sale.id}")
print(f" Number: {number}")
print(f" Reference: {reference}")
print(f" Party: {party.rec_name}")
print(f" Currency: {currency.name if hasattr(currency, 'name') else currency.code}")
if sale_date:
print(f" Sale Date: {sale_date}")
if wb is not None:
print(f" WB: {wb.name}")
if tol_min is not None or tol_max is not None:
print(f" Tolerances: Min={tol_min}, Max={tol_max}")
if from_location:
print(f" Loading: {from_location.name}")
if to_location:
print(f" Destination: {to_location.name}")
if incoterm:
print(f" Incoterm: {incoterm.code}")
imported_count += 1
# Create sale line if we have a current sale and product data
current_sale = sales_by_number.get(number)
line_product_code = row.get('line_product_code', '').strip()
line_type = row.get('line_type', '').strip() or 'line'
if current_sale and (line_product_code or line_type != 'line'):
if line_type == 'line':
# Product line
product = find_product_by_code(line_product_code)
if not product:
print(f" ⚠ Warning: Product '{line_product_code}' not found, skipping line")
continue
# Parse line data
quantity = parse_decimal(row.get('line_quantity', ''), 'quantity')
if quantity is None:
print(f" ⚠ Warning: Invalid quantity, skipping line")
continue
unit_price = parse_decimal(row.get('line_unit_price', ''), 'unit_price')
if unit_price is None:
unit_price = Decimal('0')
# Parse shipping dates
from_del = parse_date(row.get('line_from_del', ''))
to_del = parse_date(row.get('line_to_del', ''))
# Parse pricing estimate data
pricing_trigger = row.get('pricing_trigger', '').strip()
pricing_estimated_date = parse_date(row.get('pricing_estimated_date', ''))
# Find UOM if specified
unit = None
line_unit_code = row.get('line_unit_code', '').strip()
if line_unit_code:
unit = find_uom_by_code(line_unit_code)
line_data = {
'type': 'line',
'product': product,
'quantity': quantity,
'unit': unit,
'unit_price': unit_price,
'description': row.get('line_description', '').strip(),
'from_del': from_del,
'to_del': to_del,
'pricing_trigger': pricing_trigger,
'pricing_estimated_date': pricing_estimated_date,
}
else:
# Non-product line (comment, title, subtotal)
line_data = {
'type': line_type,
'description': row.get('line_description', '').strip(),
}
# Create the line
line = create_sale_line(current_sale, line_data)
print(f" ✓ Added line")
if line_type == 'line':
print(f" Product: {product.rec_name}")
print(f" Quantity: {quantity}")
if unit:
print(f" Unit: {unit.symbol}")
print(f" Unit Price: {unit_price}")
if from_del or to_del:
print(f" Shipping: {from_del} to {to_del}")
if pricing_trigger:
print(f" Pricing: {pricing_trigger} ({pricing_estimated_date})")
else:
print(f" Type: {line_type}")
print()
except Exception as e:
error_msg = f"Row {row_num} - {number if 'number' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} sales")
print(f"Skipped (already exist): {skipped_count} sales")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported sales"""
Sale = Model.get('sale.sale')
print(f"\n{'='*70}")
print("VERIFICATION - Sales")
print(f"{'='*70}\n")
# Find all sales (or limit to recently created ones)
sales = Sale.find([], order=[('id', 'DESC')])
if sales:
print(f"Found {len(sales)} sales (showing last 10):\n")
print(f"{'ID':<8} {'Number':<15} {'Reference':<15} {'Party':<25} {'State':<12} {'Total':<15}")
print("-" * 95)
for sale in sales[:10]: # Show last 10 created
sale_id = sale.id
# Get number from database since it's a custom field
conn = get_db_connection()
number = 'N/A'
if conn:
try:
cursor = conn.cursor()
cursor.execute("SELECT number FROM sale_sale WHERE id = %s", (sale_id,))
result = cursor.fetchone()
if result and result[0]:
number = str(result[0])[:14]
cursor.close()
conn.close()
except:
if conn:
conn.close()
reference = sale.reference[:14] if sale.reference else 'N/A'
party = sale.party.rec_name[:24] if sale.party else 'N/A'
state = sale.state if sale.state else 'N/A'
total = f"{sale.total_amount:.2f}" if sale.total_amount else 'N/A'
print(f"{sale_id:<8} {number:<15} {reference:<15} {party:<25} {state:<12} {total:<15}")
# Show lines
if sale.lines:
print(f" Lines: {len(sale.lines)}")
for line in sale.lines[:3]: # Show first 3 lines
if line.type == 'line' and line.product:
print(f" - {line.product.rec_name[:40]} | Qty: {line.quantity} | Price: {line.unit_price}")
else:
print(f" - [{line.type}] {(line.description or '')[:40]}")
else:
print("No sales found")
print()
def prepare_parties_as_clients(csv_file):
"""Pre-process: Add CLIENT category to all parties in CSV using Proteus"""
Party = Model.get('party.party')
Category = Model.get('party.category')
print(f"{'='*70}")
print(f"PREPARING PARTIES AS CLIENTS (via Categories)")
print(f"{'='*70}\n")
# Find CLIENT category
client_categories = Category.find([('name', '=', 'CLIENT')])
if not client_categories:
# Try case-insensitive
all_categories = Category.find([])
for cat in all_categories:
if cat.name.upper() == 'CLIENT':
client_categories = [cat]
break
if not client_categories:
print(f"✗ CLIENT category not found in the system!")
print(f"Please create a party category named 'CLIENT' first.\n")
return False
client_category = client_categories[0]
print(f"Found CLIENT category (ID: {client_category.id})\n")
party_names = set()
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
for row in reader:
party_name = row.get('party_name', '').strip()
if party_name:
party_names.add(party_name)
print(f"Found {len(party_names)} unique parties in CSV\n")
updated_count = 0
already_client_count = 0
not_found_count = 0
for party_name in party_names:
print(f"Processing party: {party_name}")
# Find party
parties = Party.find([('name', '=', party_name)])
if not parties:
parties = Party.find([('code', '=', party_name)])
if not parties:
print(f" ✗ Not found\n")
not_found_count += 1
continue
party = parties[0]
# Check if already has CLIENT category
has_client = False
if party.categories:
for cat in party.categories:
if cat.name.upper() == 'CLIENT':
has_client = True
break
if has_client:
print(f" ✓ Already has CLIENT category\n")
already_client_count += 1
continue
# Add CLIENT category using Proteus
try:
# Reload party and category in same context
party_to_update = Party(party.id)
client_cat = Category(client_category.id)
party_to_update.categories.append(client_cat)
party_to_update.save()
print(f" ✓ CLIENT category added\n")
updated_count += 1
except Exception as e:
print(f" ✗ Failed: {e}\n")
print(f"{'='*70}")
print(f"PREPARATION SUMMARY")
print(f"{'='*70}")
print(f"Already have CLIENT category: {already_client_count}")
print(f"CLIENT category added: {updated_count}")
print(f"Not found: {not_found_count}")
print(f"{'='*70}\n")
return True
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}\n")
return False
except Exception as e:
print(f"✗ Error: {e}\n")
import traceback
traceback.print_exc()
return False
def main():
print("="*70)
print("TRYTON SALE IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: Prepare all parties as clients first
# Uncomment the following line to mark all parties in CSV as clients before importing
# prepare_parties_as_clients(CSV_FILE_PATH)
# Import sales
import_sales(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

807
Reference Data/python_project/scripts/backup/2026-02-10/import_sale_contracts_with_mapping.py Normal file
View File

@@ -0,0 +1,807 @@
# Add parent directory to Python path so we can import helpers
import sys
from pathlib import Path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import psycopg2
import csv
from decimal import Decimal
from proteus import Model
from helpers.config import (
SALE_CONTRACTS_CSV,
connect_to_tryton,
get_db_connection,
DB_CONFIG # Add this to your config
)
from helpers.tryton_helpers import (
parse_decimal,
parse_date,
ensure_party_is_client,
find_party_by_name,
find_uom_by_code,
find_currency_by_code,
find_warehouse,
find_location,
find_payment_term_by_name,
find_product_by_code,
find_incoterm_by_code,
find_weight_basis_by_name,
get_party_invoice_address,
find_sale_contract_by_number
)
# Import migration mapping helper
from helpers.migration_mapping import MigrationMapper
# CSV Configuration
CSV_FILE_PATH = SALE_CONTRACTS_CSV
# Default values
DEFAULT_STATE = 'draft'
DEFAULT_INVOICE_METHOD = 'manual'
DEFAULT_INVOICE_STATE = 'none'
DEFAULT_SHIPMENT_STATE = 'none'
# Import options
AUTO_ENABLE_CLIENT = True # Set to False to skip auto-enabling client flag
SKIP_NON_CLIENTS = False # Set to True to skip parties that aren't clients
def update_sale_custom_fields(sale_id, custom_data):
"""Update custom fields in sale using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# First, check what columns exist in sale_sale table
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'sale_sale'
AND column_name IN ('number')
ORDER BY column_name
""")
existing_columns = {row[0]: row[1] for row in cursor.fetchall()}
print(f" Available custom columns in sale_sale:")
for col_name, col_type in existing_columns.items():
print(f" - {col_name} ({col_type})")
# Build UPDATE query for custom fields
set_clauses = []
values = []
if 'number' in existing_columns and custom_data.get('number'):
set_clauses.append("number = %s")
values.append(custom_data['number'])
print(f" Adding number = {custom_data['number']}")
if set_clauses:
values.append(sale_id)
update_query = f"""
UPDATE sale_sale
SET {', '.join(set_clauses)}
WHERE id = %s
"""
print(f" Executing UPDATE with fields: {', '.join([c.split('=')[0].strip() for c in set_clauses])}")
cursor.execute(update_query, values)
rows_affected = cursor.rowcount
conn.commit()
if rows_affected > 0:
print(f" ✓ {rows_affected} row(s) updated successfully")
else:
print(f" ⚠ No rows updated (sale_id={sale_id} not found?)")
else:
print(f" No custom fields to update (either no data provided or columns not found)")
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def update_line_custom_fields(line_id, custom_data):
"""Update custom fields in sale line using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update line custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# Build UPDATE query for custom fields
set_clauses = []
values = []
if custom_data.get('from_del'):
set_clauses.append("from_del = %s")
values.append(custom_data['from_del'])
if custom_data.get('to_del'):
set_clauses.append("to_del = %s")
values.append(custom_data['to_del'])
if set_clauses:
values.append(line_id)
update_query = f"""
UPDATE sale_line
SET {', '.join(set_clauses)}
WHERE id = %s
"""
cursor.execute(update_query, values)
conn.commit()
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating line custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_pricing_estimated(line_id, pricing_data):
"""Create pricing_estimated record using direct SQL"""
if not pricing_data or not pricing_data.get('trigger'):
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not create pricing estimate - database connection failed")
return False
try:
cursor = conn.cursor()
# Check if pricing_estimated table exists and what its structure is
cursor.execute("""
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'pricing_estimated'
ORDER BY ordinal_position
""")
columns = [row[0] for row in cursor.fetchall()]
if not columns:
print(f" Info: pricing_estimated table does not exist, skipping pricing estimate")
cursor.close()
conn.close()
return True
# Insert into pricing_estimated table
insert_query = """
INSERT INTO pricing_estimated (sale_line, trigger, estimated_date, create_date, write_date, create_uid, write_uid)
VALUES (%s, %s, %s, NOW(), NOW(), 1, 1)
"""
cursor.execute(insert_query, (
line_id,
pricing_data['trigger'],
pricing_data.get('estimated_date')
))
conn.commit()
cursor.close()
conn.close()
print(f" ✓ Pricing estimate created successfully")
return True
except psycopg2.errors.ForeignKeyViolation as e:
# This is expected if pricing_estimated references purchase_line only
print(f" Info: Pricing estimate skipped (table references sale_line only, not purchase_line)")
if conn:
conn.rollback()
conn.close()
return True # Return True to continue processing
except Exception as e:
print(f" ⚠ Error creating pricing estimate: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def import_sales(csv_file):
"""Import sales from CSV file with migration mapping tracking"""
Sale = Model.get('sale.sale')
SaleLine = Model.get('sale.line')
print(f"{'='*70}")
print(f"IMPORTING SALES FROM CSV")
print(f"{'='*70}\n")
print(f"Reading from: {csv_file}\n")
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Get company (assuming single company or default)
Company = Model.get('company.company')
companies = Company.find([])
if not companies:
print("✗ Error: No company found in the system")
return
company = companies[0]
print(f"Using company: {company.rec_name}\n")
# Collect all mappings for batch insert at the end
sale_mappings = []
line_mappings = []
try:
# Initialize migration mapper
with MigrationMapper(DB_CONFIG) as mapper:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
row_num = 0
for row in reader:
row_num += 1
try:
# Extract fields from CSV
number = row.get('number', '').strip()
reference = row.get('reference', '').strip()
source_sale_id = row.get('source_id', '').strip() # Source system ID
if not number:
print(f"Row {row_num}: Skipping - no number\n")
continue
print(f"{'='*70}")
print(f"Row {row_num}: Processing sale {number}")
print(f"{'='*70}")
# CHECK IF ALREADY IMPORTED using migration mapper
if source_sale_id:
existing_tryton_id = mapper.get_tryton_id('sale_contract', source_sale_id)
if existing_tryton_id:
print(f" ⏭ Sale already imported (Source ID: {source_sale_id} -> Tryton ID: {existing_tryton_id})")
skipped_count += 1
print()
continue
# Alternative: Check by number using existing helper
existing_sale = find_sale_contract_by_number(number)
if existing_sale:
print(f" ⏭ Sale {number} already exists (ID: {existing_sale.id})")
# Save mapping even if it already exists (for reconciliation)
if source_sale_id:
sale_mappings.append({
'object_type': 'sale_contract',
'source_id': source_sale_id,
'tryton_model': 'sale.sale',
'tryton_id': existing_sale.id,
'recon_key': number
})
skipped_count += 1
print()
continue
# Parse other fields
sale_date = parse_date(row.get('sale_date'))
party_name = row.get('party_name', '').strip()
# Find related records
party = find_party_by_name(party_name)
if not party:
raise ValueError(f"Party not found: {party_name}")
# Check party is client
if not ensure_party_is_client(party, auto_enable=AUTO_ENABLE_CLIENT):
if SKIP_NON_CLIENTS:
print(f" ⏭ Skipping - party {party_name} is not a client\n")
skipped_count += 1
continue
else:
raise ValueError(f"Party {party_name} is not a client")
# Reload party after category addition to get fresh data
Party = Model.get('party.party')
party = Party(party.id)
# Find invoice address
invoice_address = get_party_invoice_address(party)
if not invoice_address:
raise ValueError(f"No invoice address found for party {party_name}")
# Parse additional fields
currency = find_currency_by_code(row.get('currency', 'USD'))
warehouse = find_warehouse(row.get('warehouse'))
payment_term = find_payment_term_by_name(row.get('payment_term'))
weight_basis_abbr = find_weight_basis_by_name(row.get('weight_basis'))
tol_min = parse_decimal(row.get('tol_min', ''), 'tol_min')
tol_max = parse_decimal(row.get('tol_max', ''), 'tol_max')
from_location_name = row.get('from_location_name', '').strip()
from_location = find_location(from_location_name)
to_location_name = row.get('to_location_name', '').strip()
to_location = find_location(to_location_name)
incoterm_code = row.get('incoterm_name', '').strip()
incoterm = find_incoterm_by_code(incoterm_code, 2025)
description = row.get('description', '').strip()
comment = row.get('comment', '').strip()
# CREATE SALE
print(f" Creating sale...")
sale = Sale()
sale.company = company
sale.reference = reference
sale.party = party
sale.invoice_address = invoice_address
sale.shipment_address = invoice_address # Default to invoice address
sale.sale_date = sale_date
sale.currency = currency
if warehouse:
sale.warehouse = warehouse
sale.payment_term = payment_term
sale.wb = weight_basis_abbr
sale.tol_min = tol_min
sale.tol_max = tol_max
sale.incoterm = incoterm
sale.from_location = from_location
sale.to_location = to_location
sale.description = description
sale.comment = comment
sale.state = DEFAULT_STATE
sale.invoice_method = DEFAULT_INVOICE_METHOD
# Save the sale
sale.save()
print(f" ✓ Sale created (ID: {sale.id})")
# Update custom fields (like 'number')
custom_fields = {'number': number}
update_sale_custom_fields(sale.id, custom_fields)
# SAVE MIGRATION MAPPING for sale
if source_sale_id:
sale_mappings.append({
'object_type': 'sale_contract',
'source_id': source_sale_id,
'tryton_model': 'sale.sale',
'tryton_id': sale.id,
'recon_key': number
})
print(f" 📝 Mapping queued: Source {source_sale_id} -> Tryton {sale.id}")
# Process sale lines
line_type = row.get('line_type', 'line').strip()
source_line_id = row.get('source_line_id', '').strip()
if line_type == 'line':
# Regular product line
product_code = row.get('line_product_code', '').strip()
quantity = parse_decimal(row.get('line_quantity', ''), 'quantity')
unit_price = parse_decimal(row.get('line_price', ''), 'unit_price')
product = find_product_by_code(product_code)
if not product:
raise ValueError(f"Product not found: {product_code}")
unit = find_uom_by_code(row.get('line_unit_code', ''))
# Parse shipping dates
from_del = parse_date(row.get('line_from_del', ''))
to_del = parse_date(row.get('line_to_del', ''))
# Create line
line = SaleLine()
line.sale = sale
line.type = 'line'
sequence = 1 # Default sequence, can be enhanced to handle multiple lines
line.sequence = sequence
line.product = product
line.quantity = quantity
line.unit = unit if unit else product.sale_uom
line.unit_price = unit_price
line.from_del = from_del
line.to_del = to_del
# Optional fields
description = row.get('description', '').strip()
if description:
line.description = description
line.save()
# # Update line custom fields
# line_custom = {}
# from_del = row.get('from_del', '').strip()
# to_del = row.get('to_del', '').strip()
# if from_del:
# line_custom['from_del'] = from_del
# if to_del:
# line_custom['to_del'] = to_del
# if line_custom:
# update_line_custom_fields(line.id, line_custom)
# Create pricing estimate if applicable
pricing_trigger = row.get('pricing_trigger', '').strip()
pricing_estimated_date = parse_date(row.get('pricing_estimated_date', ''))
if pricing_trigger:
pricing_data = {
'trigger': pricing_trigger,
'estimated_date': pricing_estimated_date
}
create_pricing_estimated(line.id, pricing_data)
# SAVE MIGRATION MAPPING for line
if source_line_id:
line_mappings.append({
'object_type': 'sale_line',
'source_id': source_line_id,
'tryton_model': 'sale.line',
'tryton_id': line.id,
'recon_key': f"{number}-Line {sequence}-{product_code}"
})
print(f" ✓ Added line (ID: {line.id})")
print(f" Product: {product.rec_name}")
print(f" Quantity: {quantity}")
else:
# Comment, subtitle, or other line types
line = SaleLine()
line.sale = sale
line.type = line_type
line.description = row.get('description', '').strip()
line.save()
print(f" ✓ Added {line_type} line (ID: {line.id})")
imported_count += 1
print(f"✓ Successfully imported sale {number}\n")
except Exception as e:
error_msg = f"Row {row_num} - {number if 'number' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# BATCH SAVE ALL MAPPINGS at the end
print(f"\n{'='*70}")
print("SAVING MIGRATION MAPPINGS")
print(f"{'='*70}\n")
if sale_mappings:
print(f"Saving {len(sale_mappings)} sale mappings...")
mapper.save_mappings_batch(sale_mappings)
print(f"✓ Sale mappings saved\n")
if line_mappings:
print(f"Saving {len(line_mappings)} line mappings...")
mapper.save_mappings_batch(line_mappings)
print(f"✓ Line mappings saved\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} sales")
print(f"Skipped (already exist): {skipped_count} sales")
print(f"Errors: {error_count}")
print(f"Migration mappings saved: {len(sale_mappings)} sales, {len(line_mappings)} lines")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported sales and their migration mappings"""
Sale = Model.get('sale.sale')
print(f"\n{'='*70}")
print("VERIFICATION - Sales and Migration Mappings")
print(f"{'='*70}\n")
# Find all sales (or limit to recently created ones)
sales = Sale.find([], order=[('id', 'DESC')])
if sales:
print(f"Found {len(sales)} sales (showing last 10):\n")
print(f"{'ID':<8} {'Number':<15} {'Reference':<15} {'Party':<25} {'State':<12} {'Source ID':<15}")
print("-" * 100)
# Initialize mapper to look up source IDs
with MigrationMapper(DB_CONFIG) as mapper:
for sale in sales[:10]: # Show last 10 created
sale_id = sale.id
# Get number from database since it's a custom field
conn = get_db_connection()
number = 'N/A'
if conn:
try:
cursor = conn.cursor()
cursor.execute("SELECT number FROM sale_sale WHERE id = %s", (sale_id,))
result = cursor.fetchone()
if result and result[0]:
number = str(result[0])[:14]
cursor.close()
conn.close()
except:
if conn:
conn.close()
# Look up source ID from migration mapping
source_id = 'N/A'
try:
cursor = mapper.connection.cursor()
cursor.execute("""
SELECT source_id[1]
FROM public.os_migration_mapping
WHERE tryton_id = %s
AND 'sale_contract' = ANY(object_type)
ORDER BY write_date DESC
LIMIT 1
""", (sale_id,))
result = cursor.fetchone()
if result and result[0]:
source_id = str(result[0])[:14]
cursor.close()
except:
pass
reference = sale.reference[:14] if sale.reference else 'N/A'
party = sale.party.rec_name[:24] if sale.party else 'N/A'
state = sale.state if sale.state else 'N/A'
print(f"{sale_id:<8} {number:<15} {reference:<15} {party:<25} {state:<12} {source_id:<15}")
# Show lines
if sale.lines:
print(f" Lines: {len(sale.lines)}")
for line in sale.lines[:3]: # Show first 3 lines
if line.type == 'line' and line.product:
print(f" - {line.product.rec_name[:40]} | Qty: {line.quantity} | Price: {line.unit_price}")
else:
print(f" - [{line.type}] {(line.description or '')[:40]}")
else:
print("No sales found")
print()
def check_mapping_stats():
"""Display statistics about migration mappings"""
print(f"\n{'='*70}")
print("MIGRATION MAPPING STATISTICS")
print(f"{'='*70}\n")
try:
with MigrationMapper(DB_CONFIG) as mapper:
cursor = mapper.connection.cursor()
# Count mappings by object type
cursor.execute("""
SELECT
object_type[1] as obj_type,
COUNT(*) as count,
MIN(write_date) as first_import,
MAX(write_date) as last_import
FROM public.os_migration_mapping
GROUP BY object_type[1]
ORDER BY count DESC
""")
results = cursor.fetchall()
if results:
print(f"{'Object Type':<25} {'Count':<10} {'First Import':<15} {'Last Import':<15}")
print("-" * 70)
for row in results:
obj_type = row[0] or 'N/A'
count = row[1]
first = row[2].strftime('%Y-%m-%d') if row[2] else 'N/A'
last = row[3].strftime('%Y-%m-%d') if row[3] else 'N/A'
print(f"{obj_type:<25} {count:<10} {first:<15} {last:<15}")
# Total count
cursor.execute("SELECT COUNT(*) FROM public.os_migration_mapping")
total = cursor.fetchone()[0]
print(f"\nTotal mappings: {total}")
else:
print("No migration mappings found")
cursor.close()
except Exception as e:
print(f"Error retrieving mapping statistics: {e}")
import traceback
traceback.print_exc()
print()
def prepare_parties_as_clients(csv_file):
"""Pre-process: Add CLIENT category to all parties in CSV using Proteus"""
Party = Model.get('party.party')
Category = Model.get('party.category')
print(f"{'='*70}")
print(f"PREPARING PARTIES AS CLIENTS (via Categories)")
print(f"{'='*70}\n")
# Find CLIENT category
client_categories = Category.find([('name', '=', 'CLIENT')])
if not client_categories:
# Try case-insensitive
all_categories = Category.find([])
for cat in all_categories:
if cat.name.upper() == 'CLIENT':
client_categories = [cat]
break
if not client_categories:
print(f"✗ CLIENT category not found in the system!")
print(f"Please create a party category named 'CLIENT' first.\n")
return False
client_category = client_categories[0]
print(f"Found CLIENT category (ID: {client_category.id})\n")
party_names = set()
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
for row in reader:
party_name = row.get('party_name', '').strip()
if party_name:
party_names.add(party_name)
print(f"Found {len(party_names)} unique parties in CSV\n")
updated_count = 0
already_client_count = 0
not_found_count = 0
for party_name in party_names:
print(f"Processing party: {party_name}")
# Find party
parties = Party.find([('name', '=', party_name)])
if not parties:
parties = Party.find([('code', '=', party_name)])
if not parties:
print(f" ✗ Not found\n")
not_found_count += 1
continue
party = parties[0]
# Check if already has CLIENT category
has_client = False
if party.categories:
for cat in party.categories:
if cat.name.upper() == 'CLIENT':
has_client = True
break
if has_client:
print(f" ✓ Already has CLIENT category\n")
already_client_count += 1
continue
# Add CLIENT category using Proteus
try:
# Reload party and category in same context
party_to_update = Party(party.id)
client_cat = Category(client_category.id)
party_to_update.categories.append(client_cat)
party_to_update.save()
print(f" ✓ CLIENT category added\n")
updated_count += 1
except Exception as e:
print(f" ✗ Failed: {e}\n")
print(f"{'='*70}")
print(f"PREPARATION SUMMARY")
print(f"{'='*70}")
print(f"Already have CLIENT category: {already_client_count}")
print(f"CLIENT category added: {updated_count}")
print(f"Not found: {not_found_count}")
print(f"{'='*70}\n")
return True
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}\n")
return False
except Exception as e:
print(f"✗ Error: {e}\n")
import traceback
traceback.print_exc()
return False
def main():
print("="*70)
print("TRYTON SALE IMPORT SCRIPT WITH MIGRATION MAPPING")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: Prepare all parties as clients first
# Uncomment the following line to mark all parties in CSV as clients before importing
# prepare_parties_as_clients(CSV_FILE_PATH)
# Import sales with migration mapping
import_sales(CSV_FILE_PATH)
# Verify import
verify_import()
# Show mapping statistics
check_mapping_stats()
return 0
if __name__ == '__main__':
exit(main())

356
Reference Data/python_project/scripts/backup/2026-02-10/import_services v2.py Normal file
View File

@@ -0,0 +1,356 @@
import csv
from proteus import config, Model
from decimal import Decimal
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'SERVICES' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
# Connect using XML-RPC with credentials in URL
#connection_url = f'{SERVER_URL}/{DATABASE_NAME}/'
#print(f'{USERNAME}:{PASSWORD}@{connection_url}')
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
#config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search by getting all and comparing
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, try to get default 'Unit'
print(f" ⚠ Warning: UOM '{uom_name}' not found, using '{DEFAULT_UOM}'")
default_uoms = Uom.find([('name', '=', DEFAULT_UOM)])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, categories, uom):
"""Create a new service product using proteus"""
Template = Model.get('product.template')
# Create template
template = Template()
template.name = row['name']
template.code = row['code']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price_method = 'fixed' # Services use fixed cost price
template.default_uom = uom
# Link to categories (Many2Many relationship)
# Use append() instead of direct assignment
if isinstance(categories, list):
template.categories.extend(categories) # Use extend for lists
else:
template.categories.append(categories) # Use append for single category
template.salable = False # Services are not salable products by default
template.purchasable = True # Services are purchasable
if row.get('description'):
template.description = row['description']
# Save the template first
template.save()
# Now update the product that was auto-created
# When a template is created, Tryton automatically creates a default product
if template.products:
product = template.products[0]
#product.code = row['code']
product.suffix_code = row['code'] # Use suffix_code to set product code
# Set cost price on the product
product.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
product.save()
return product
else:
raise ValueError("No product was created automatically with template")
def import_services(csv_file):
"""Import services from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip() or '0.00'
cost_price = row.get('cost_price', '0.00').strip() or '0.00'
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...\n")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product")
print(f" Product ID: {product.id}, Template ID: {product.template.id}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<30} {'Categories':<25} {'Sale Price':<12}")
print("-" * 85)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:29] if product.template.name else 'N/A'
# Get categories (Many2Many relationship)
if product.template.categories:
categories = ', '.join([cat.name for cat in product.template.categories])
categories = categories[:24]
else:
categories = 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<30} {categories:<25} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
symbol = f"({uom.symbol})" if hasattr(uom, 'symbol') and uom.symbol else ""
print(f" - {uom.name} {symbol}")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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Reference Data/python_project/scripts/backup/2026-02-10/import_services.py Normal file
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import csv
from proteus import config, Model
from decimal import Decimal
# Configuration
DATABASE_NAME = 'tradon'
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'Services' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton database"""
print(f"Connecting to Tryton database: {DATABASE_NAME}")
try:
#config.set_trytond(DATABASE_NAME)
config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, return Unit (default)
print(f" ⚠ Warning: UOM '{uom_name}' not found, using 'Unit'")
default_uoms = Uom.find([('name', '=', 'Unit')])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, category, uom):
"""Create a new service product"""
Product = Model.get('product.product')
Template = Model.get('product.template')
# Create template first
template = Template()
template.name = row['name']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
template.default_uom = uom
template.category = category
template.salable = True
template.purchasable = False # Services typically not purchased
if row.get('description'):
template.description = row['description']
template.save()
# Create product variant
product = Product()
product.template = template
product.code = row['code']
product.save()
return product
def import_services(csv_file):
"""Import services from CSV file"""
Product = Model.get('product.product')
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip()
cost_price = row.get('cost_price', '0.00').strip()
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product: {name}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<35} {'Category':<20} {'Sale Price':<12}")
print("-" * 80)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:34] if product.template.name else 'N/A'
category = product.template.category.name if product.template.category else 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<35} {category:<20} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
print(f" - {uom.name} (Symbol: {uom.symbol if hasattr(uom, 'symbol') else 'N/A'})")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT (using Proteus)")
print("="*70)
print()
# Connect to Tryton
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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Reference Data/python_project/scripts/backup/2026-02-10/import_stock_locations_v3.py Normal file
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import csv
import psycopg2
from proteus import config, Model
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Customer_Stock_Locations.csv'
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database access)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
# Default values
DEFAULT_TYPE = 'storage' # Default location type if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_db_connection():
"""Get PostgreSQL database connection"""
try:
conn = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
database=DATABASE_NAME,
user=DB_USER,
password=DB_PASSWORD
)
return conn
except Exception as e:
print(f"✗ Database connection failed: {e}")
return None
def update_location_coordinates(location_id, latitude, longitude):
"""Update location coordinates directly in PostgreSQL"""
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update coordinates - database connection failed")
return False
try:
cursor = conn.cursor()
# Update lat and lon columns
update_query = """
UPDATE stock_location
SET lat = %s, lon = %s
WHERE id = %s
"""
cursor.execute(update_query, (latitude, longitude, location_id))
rows_affected = cursor.rowcount
conn.commit()
cursor.close()
conn.close()
return rows_affected > 0
except Exception as e:
print(f" ⚠ Error updating coordinates: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def check_location_exists_by_name(name):
"""Check if location with given name already exists"""
Location = Model.get('stock.location')
locations = Location.find([('name', '=', name)])
return locations[0] if locations else None
def validate_location_type(loc_type):
"""Validate location type"""
valid_types = [
'supplier', 'customer', 'lost_found', 'warehouse',
'storage', 'production', 'drop', 'rental', 'view'
]
if not loc_type or loc_type.lower() not in valid_types:
print(f" ⚠ Warning: Invalid type '{loc_type}', using default '{DEFAULT_TYPE}'")
return DEFAULT_TYPE
return loc_type.lower()
def parse_coordinate(value, coord_name):
"""Parse and validate coordinate value"""
if not value or value == '':
return None
# Handle 'NULL' or similar string values
if isinstance(value, str) and value.strip().upper() in ['NULL', 'NONE', 'N/A', '']:
return None
try:
coord = float(value)
# Validate latitude range (-90 to 90)
if coord_name == 'latitude':
if coord < -90 or coord > 90:
print(f" ⚠ Warning: Latitude {coord} out of range (-90 to 90)")
return None
# Validate longitude range (-180 to 180)
if coord_name == 'longitude':
if coord < -180 or coord > 180:
print(f" ⚠ Warning: Longitude {coord} out of range (-180 to 180)")
return None
return coord
except (ValueError, TypeError) as e:
print(f" ⚠ Warning: Invalid {coord_name} value '{value}' - {e}")
return None
def create_location(row):
"""Create a new location using proteus"""
Location = Model.get('stock.location')
# Create location
location = Location()
location.name = row['name']
location.type = row['type']
# Save the location first
location.save()
# Get coordinates and save them
latitude = row.get('latitude')
longitude = row.get('longitude')
# Update coordinates directly in database if provided
if latitude is not None or longitude is not None:
success = update_location_coordinates(location.id, latitude, longitude)
if not success:
print(f" ⚠ Location created but coordinates not saved")
return location, latitude, longitude
def import_locations(csv_file):
"""Import locations from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing locations from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values - get directly from CSV columns
name = row.get('name', '').strip()
loc_type = row.get('type', '').strip() or DEFAULT_TYPE
lat_raw = row.get('lat', '').strip()
lon_raw = row.get('lon', '').strip()
# Skip empty rows
if not name:
continue
print(f"Processing Row {row_num}: {name}")
print(f" CSV Raw values - lat: '{lat_raw}', lon: '{lon_raw}'")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if location already exists in database
existing_location = check_location_exists_by_name(name)
if existing_location:
print(f" ⚠ Location '{name}' already exists (ID: {existing_location.id})")
print(f" Type: {existing_location.type}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Validate location type
loc_type = validate_location_type(loc_type)
# Parse coordinates
latitude = parse_coordinate(lat_raw, 'latitude')
longitude = parse_coordinate(lon_raw, 'longitude')
print(f" Parsed values - lat: {latitude}, lon: {longitude}")
# Create the location with parsed data
location_data = {
'name': name,
'type': loc_type,
'latitude': latitude,
'longitude': longitude
}
location, saved_lat, saved_lon = create_location(location_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created location")
print(f" Location ID: {location.id}")
print(f" Name: {name}")
print(f" Type: {loc_type}")
if saved_lat is not None:
print(f" Latitude: {saved_lat}")
if saved_lon is not None:
print(f" Longitude: {saved_lon}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name if 'name' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} locations")
print(f"Skipped (already exist or duplicates): {skipped_count} locations")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported locations with coordinates from database"""
Location = Model.get('stock.location')
print(f"\n{'='*70}")
print("VERIFICATION - Stock Locations")
print(f"{'='*70}\n")
# Get database connection to read coordinates
conn = get_db_connection()
if not conn:
print("Cannot verify - database connection failed")
return
# Find all locations (or limit to recently created ones)
locations = Location.find([], order=[('id', 'DESC')])
if locations:
print(f"Found {len(locations)} locations (showing last 20):\n")
print(f"{'ID':<8} {'Name':<35} {'Type':<12} {'Lat':<12} {'Lon':<12}")
print("-" * 85)
for location in locations[:20]: # Show last 20 created
loc_id = location.id
name = location.name[:34] if location.name else 'N/A'
loc_type = location.type if location.type else 'N/A'
# Get coordinates from database
lat = 'N/A'
lon = 'N/A'
try:
cursor = conn.cursor()
cursor.execute(
"SELECT lat, lon FROM stock_location WHERE id = %s",
(loc_id,)
)
result = cursor.fetchone()
if result:
lat = f"{result[0]:.6f}" if result[0] is not None else 'N/A'
lon = f"{result[1]:.6f}" if result[1] is not None else 'N/A'
cursor.close()
except Exception as e:
print(f"Error reading coordinates for location {loc_id}: {e}")
print(f"{loc_id:<8} {name:<35} {loc_type:<12} {lat:<12} {lon:<12}")
conn.close()
else:
print("No locations found")
print()
def main():
print("="*70)
print("TRYTON STOCK LOCATION IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Using Direct PostgreSQL for lat/lon coordinates")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Test database connection
print("Testing PostgreSQL connection...")
conn = get_db_connection()
if conn:
print("✓ PostgreSQL connection successful")
# Test if lat/lon columns exist
try:
cursor = conn.cursor()
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'stock_location'
AND column_name IN ('lat', 'lon')
""")
columns = cursor.fetchall()
cursor.close()
if columns:
print("✓ Found lat/lon columns in stock_location table:")
for col in columns:
print(f" - {col[0]}: {col[1]}")
else:
print("✗ WARNING: lat/lon columns NOT found in stock_location table!")
print(" Coordinates will not be saved!")
except Exception as e:
print(f" Could not verify columns: {e}")
conn.close()
print()
else:
print("✗ PostgreSQL connection failed")
print("Coordinates will not be saved!\n")
return 1
# Import locations
import_locations(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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Reference Data/python_project/scripts/backup/2026-02-10/import_vessels.py Normal file
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import csv
import psycopg2
from datetime import datetime
# Database connection parameters
DB_CONFIG = {
'host': '72.61.163.139',
'port': 5433,
'database': 'tradon',
'user': 'postgres',
'password': 'dsproject'
}
# CSV file path
CSV_FILE = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Vessels.csv'
def import_vessels():
"""Import vessel data from CSV into trade_vessel table"""
print("=" * 60)
print("VESSEL IMPORT PROCESS STARTED")
print("=" * 60)
# Initialize connection and cursor objects
conn = None
cursor = None
try:
# Connect to PostgreSQL database
print(f"\n[1/4] Connecting to database...")
print(f" Host: {DB_CONFIG['host']}:{DB_CONFIG['port']}")
print(f" Database: {DB_CONFIG['database']}")
conn = psycopg2.connect(**DB_CONFIG)
cursor = conn.cursor()
print(" ✓ Database connection established")
# Read CSV file with UTF-8-BOM encoding to handle Excel-generated CSVs
print(f"\n[2/4] Reading CSV file...")
print(f" File: {CSV_FILE}")
with open(CSV_FILE, 'r', encoding='utf-8-sig') as file:
csv_reader = csv.DictReader(file)
# Initialize counters for tracking import results
insert_count = 0
skip_count = 0
print(" ✓ CSV file opened successfully")
print(f"\n[3/4] Processing vessel records...")
print("-" * 60)
# Process each row from CSV file
for row_num, row in enumerate(csv_reader, start=1):
# Extract and clean vessel data from CSV row
vessel_name = row['vessel_name'].strip()
# Convert empty strings to None for vessel_year
vessel_year = row['vessel_year'].strip() if row['vessel_year'].strip() else None
# Convert empty strings and 'NULL' text to None for vessel_imo
vessel_imo = row['vessel_imo'].strip() if row['vessel_imo'].strip() and row['vessel_imo'].upper() != 'NULL' else None
print(f"\nRow {row_num}: Processing '{vessel_name}'")
print(f" Year: {vessel_year if vessel_year else 'N/A'}")
print(f" IMO: {vessel_imo if vessel_imo else 'N/A'}")
# Check if vessel already exists in database to avoid duplicates
cursor.execute("""
SELECT id FROM trade_vessel
WHERE vessel_name = %s AND vessel_imo = %s
""", (vessel_name, vessel_imo))
existing = cursor.fetchone()
# Skip insertion if vessel already exists
if existing:
print(f" ⚠ SKIPPED - Duplicate found (ID: {existing[0]})")
skip_count += 1
continue
# Insert new vessel record into trade_vessel table
cursor.execute("""
INSERT INTO trade_vessel
(vessel_name, vessel_year, vessel_imo, active, create_date, create_uid, write_date, write_uid)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
RETURNING id
""", (
vessel_name, # Vessel name from CSV
vessel_year, # Year vessel was built
vessel_imo, # IMO number (international maritime identifier)
True, # Set active flag to True
datetime.now(), # Record creation timestamp
1, # User ID who created the record
datetime.now(), # Record last modification timestamp
1 # User ID who last modified the record
))
# Get the ID of the newly inserted record
new_id = cursor.fetchone()[0]
# Increment insert counter and log success
insert_count += 1
print(f" ✓ INSERTED successfully (New ID: {new_id})")
print("-" * 60)
# Commit all inserts to database
print(f"\n[4/4] Committing transaction to database...")
conn.commit()
print(" ✓ Transaction committed successfully")
# Display import summary statistics
print("\n" + "=" * 60)
print("IMPORT SUMMARY")
print("=" * 60)
print(f"✓ Records inserted: {insert_count}")
print(f"⚠ Records skipped: {skip_count}")
print(f" Total processed: {insert_count + skip_count}")
print("=" * 60)
except psycopg2.Error as e:
# Rollback transaction if database error occurs
print("\n" + "!" * 60)
print("DATABASE ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
except FileNotFoundError:
# Handle case where CSV file doesn't exist
print("\n" + "!" * 60)
print("FILE NOT FOUND ERROR")
print("!" * 60)
print(f"CSV file not found: {CSV_FILE}")
print("Please check the file path and try again.")
print("!" * 60)
except Exception as e:
# Catch any other unexpected errors and rollback
print("\n" + "!" * 60)
print("UNEXPECTED ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
finally:
# Clean up database resources
print(f"\n[CLEANUP] Closing database connection...")
if cursor:
cursor.close()
print(" ✓ Cursor closed")
if conn:
conn.close()
print(" ✓ Connection closed")
print("\n" + "=" * 60)
print("VESSEL IMPORT PROCESS COMPLETED")
print("=" * 60 + "\n")
# Execute import when script is run directly
if __name__ == "__main__":
import_vessels()

76
Reference Data/python_project/scripts/check_proteus_analytical_dimension_assignment.py Normal file
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"""
Diagnostic Script - Discover Analytic Dimension Assignment Fields
This script will show you the actual field names in your Tryton instance.
Run this to see what fields are available.
"""
from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
def discover_assignment_fields():
"""Discover the actual fields in analytic_dimension_assignment model"""
print("="*70)
print("DISCOVERING ANALYTIC DIMENSION ASSIGNMENT FIELDS")
print("="*70)
try:
# Get the model
AnalyticDimensionAssignment = Model.get('analytic.dimension.assignment')
# Create a new instance (don't save it)
test_assignment = AnalyticDimensionAssignment()
# Get all attributes
print("\nAvailable fields on analytic.dimension.assignment:\n")
# Method 1: Try _fields if available (Tryton models expose this)
if hasattr(test_assignment, '_fields'):
for field_name in sorted(test_assignment._fields.keys()):
field = test_assignment._fields[field_name]
print(f" - {field_name}: {type(field).__name__}")
else:
# Method 2: Try __dict__ or dir()
print("Fields found via dir():")
for attr in sorted(dir(test_assignment)):
if not attr.startswith('_') and not callable(getattr(test_assignment, attr, None)):
print(f" - {attr}")
print("\n" + "="*70)
print("CHECKING EXISTING ASSIGNMENTS (if any)")
print("="*70)
# Try to find an existing assignment to see its structure
existing = AnalyticDimensionAssignment.find([], limit=1)
if existing:
print(f"\nFound existing assignment (ID: {existing[0].id})")
print("\nAttributes of existing assignment:")
for attr in dir(existing[0]):
if not attr.startswith('_') and not callable(getattr(existing[0], attr, None)):
try:
value = getattr(existing[0], attr)
print(f" - {attr}: {type(value).__name__} = {value}")
except:
print(f" - {attr}: <unable to read>")
else:
print("\nNo existing assignments found in database")
except Exception as e:
print(f"\nError: {e}")
import traceback
traceback.print_exc()
if __name__ == '__main__':
# Make sure you're connected to Tryton first
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print(f"Connected to Tryton database '{DATABASE_NAME}' successfully!")
discover_assignment_fields()

239
Reference Data/python_project/scripts/check_proteus_custom_fields.py Normal file
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from proteus import config, Model
import psycopg2
# XML-RPC Configuration (default connection method)
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database inspection)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
print("="*80)
print("CUSTOM FIELDS IDENTIFICATION FOR purchase.purchase")
print("="*80)
# Connect to Tryton via XML-RPC
print(f"\nConnecting via XML-RPC to {SERVER_URL}...")
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully\n")
Purchase = Model.get('purchase.purchase')
# Get all fields that Proteus sees
proteus_fields = sorted([key for key in dir(Purchase)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find',
'copy', 'read', 'write', 'search']])
print(f"1. FIELDS VISIBLE TO PROTEUS: {len(proteus_fields)} fields")
print("-"*80)
# Standard Tryton purchase.purchase fields (from base module)
standard_purchase_fields = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'lines', 'invoices', 'invoices_ignored', 'invoices_recreated',
'invoice_lines', 'invoice_lines_ignored', 'moves',
'shipment_state', 'invoice_state', 'number', 'reference',
'shipments', 'shipment_returns', 'rec_name', 'origin',
'untaxed_amount', 'tax_amount', 'total_amount',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache',
'delivery_date', 'party_lang', 'contact', 'xml_id'
}
# Identify potential custom fields
potential_custom_fields = [f for f in proteus_fields if f not in standard_purchase_fields]
print(f"\n2. POTENTIAL CUSTOM FIELDS: {len(potential_custom_fields)} fields")
print("-"*80)
for field in potential_custom_fields:
print(f" - {field}")
# Connect to PostgreSQL to get actual table columns
print(f"\n3. COLUMNS IN POSTGRESQL TABLE 'purchase_purchase'")
print("-"*80)
try:
conn = psycopg2.connect(
dbname=DATABASE_NAME,
host=DB_HOST,
port=DB_PORT,
user=DB_USER,
password=DB_PASSWORD
)
cursor = conn.cursor()
# Get all columns from purchase_purchase table
cursor.execute("""
SELECT
column_name,
data_type,
character_maximum_length,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'purchase_purchase'
ORDER BY ordinal_position;
""")
db_columns = cursor.fetchall()
print(f"Total columns in database: {len(db_columns)}\n")
# Standard columns that typically exist in purchase_purchase
standard_db_columns = {
'id', 'create_date', 'create_uid', 'write_date', 'write_uid',
'company', 'party', 'invoice_party', 'invoice_address',
'payment_term', 'warehouse', 'currency', 'description',
'comment', 'state', 'purchase_date', 'invoice_method',
'number', 'reference', 'delivery_date', 'contact',
'shipment_state', 'invoice_state', 'origin',
'untaxed_amount_cache', 'tax_amount_cache', 'total_amount_cache'
}
db_column_names = [col[0] for col in db_columns]
custom_db_columns = [col for col in db_columns if col[0] not in standard_db_columns]
print("Custom columns in database:")
for col in custom_db_columns:
col_name, data_type, max_length, nullable, default = col
length_info = f"({max_length})" if max_length else ""
print(f" - {col_name:<30} {data_type}{length_info:<15} NULL: {nullable}")
# Compare: Fields in Proteus vs Columns in DB
print(f"\n4. COMPARISON: PROTEUS vs DATABASE")
print("-"*80)
# Fields in Proteus but NOT as direct columns in DB (might be related fields, functions, etc.)
proteus_only = set(potential_custom_fields) - set(db_column_names)
if proteus_only:
print(f"\nFields in Proteus but NOT as columns in DB ({len(proteus_only)}):")
print("(These might be Many2One, One2Many, Function fields, etc.)")
for field in sorted(proteus_only):
print(f" - {field}")
# Columns in DB but NOT visible in Proteus (these are the problem!)
db_only = set([col[0] for col in custom_db_columns]) - set(proteus_fields)
if db_only:
print(f"\n⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS ({len(db_only)}):")
print("(These fields MUST be added to the Python model!)")
for field in sorted(db_only):
print(f" - {field}")
# Fields that exist in BOTH Proteus and DB
both = set(potential_custom_fields) & set([col[0] for col in custom_db_columns])
if both:
print(f"\n✓ Custom fields properly defined in BOTH Proteus and DB ({len(both)}):")
for field in sorted(both):
print(f" - {field}")
cursor.close()
conn.close()
except Exception as e:
print(f"Error connecting to PostgreSQL: {e}")
# Test persistence of custom fields
print(f"\n5. TESTING FIELD PERSISTENCE")
print("-"*80)
try:
# Find a draft purchase to test
drafts = Purchase.find([('state', '=', 'draft')], limit=1)
if drafts:
test_purchase = drafts[0]
test_id = test_purchase.id
print(f"Testing with purchase ID: {test_id}")
print("\nTesting custom fields (attempting to set and save):\n")
# Test a sample of custom fields
test_fields = {}
# Add fields to test if they exist
if 'reference' in potential_custom_fields:
test_fields['reference'] = 'TEST_REF'
if 'crop' in potential_custom_fields:
test_fields['crop'] = 'TEST_CROP'
if 'forex' in potential_custom_fields:
test_fields['forex'] = 'TEST_FOREX'
if 'broker' in potential_custom_fields:
test_fields['broker'] = 'TEST_BROKER'
if 'certif' in potential_custom_fields:
test_fields['certif'] = 'TEST_CERT'
if 'wb' in potential_custom_fields:
test_fields['wb'] = 'TEST_WB'
for field_name, test_value in test_fields.items():
try:
original_value = getattr(test_purchase, field_name, None)
setattr(test_purchase, field_name, test_value)
test_purchase.save()
# Reload
reloaded = Purchase(test_id)
new_value = getattr(reloaded, field_name, None)
if new_value == test_value:
print(f" ✓ {field_name}: PERSISTS correctly")
# Restore original value
setattr(reloaded, field_name, original_value)
reloaded.save()
else:
print(f" ✗ {field_name}: Does NOT persist (expected: '{test_value}', got: '{new_value}')")
except Exception as e:
print(f" ✗ {field_name}: Error - {str(e)[:60]}")
else:
print("No draft purchases found for testing")
except Exception as e:
print(f"Error during persistence testing: {e}")
print("\n" + "="*80)
print("SUMMARY & RECOMMENDATIONS")
print("="*80)
print("""
Next steps for your colleague:
1. Review the "⚠️ COLUMNS IN DATABASE BUT NOT VISIBLE IN PROTEUS" section
→ These fields exist in PostgreSQL but are missing from the Python model
2. Review fields that "Does NOT persist" in the testing section
→ These fields are visible but not working correctly
3. Add missing fields to your custom Tryton module:
File: modules/your_custom_module/purchase.py
from trytond.pool import PoolMeta
from trytond.model import fields
class Purchase(metaclass=PoolMeta):
__name__ = 'purchase.purchase'
# Add each missing field with appropriate type:
custom_field = fields.Char('Custom Field')
custom_number = fields.Integer('Custom Number')
custom_date = fields.Date('Custom Date')
custom_many2one = fields.Many2One('other.model', 'Reference')
# etc...
4. Increment module version in tryton.cfg
5. Update module: trytond-admin -d tradon -u your_custom_module
6. Restart Tryton server
7. Re-run this script to verify all fields work correctly
""")

46
Reference Data/python_project/scripts/check_proteus_data_model.py Normal file
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from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# Connect via XML-RPC
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print(f"Connected to Tryton database '{DATABASE_NAME}' successfully!")
# Get the model using Model.get()
Purchase = Model.get('purchase.purchase') # Using a common model to inspect fields, can be changed to 'purchase.purchase' if available
try:
# Try to get any existing record or create new (without saving)
purchases = Purchase.find([], limit=1)
if purchases:
sample = purchases[0]
else:
sample = Purchase()
# Get field names from the instance
field_names = sorted([key for key in dir(sample)
if not key.startswith('_')
and key not in ['create', 'delete', 'save', 'find']])
print(f"\nTotal fields in analytic.dimension: {len(field_names)}")
print("\nField list:")
for field in field_names:
print(f"{field}")
except Exception as e:
print(f"Could not inspect fields via instance: {e}")
except Exception as e:
print(f"Connection or operation failed: {e}")
print("\nPlease verify:")
print(f" - Tryton server is running on {SERVER_URL}")
print(f" - Database '{DATABASE_NAME}' exists")
print(f" - Username and password are correct")

35
Reference Data/python_project/scripts/check_proteus_diagnostic.py Normal file
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from proteus import config, Model
# Connect
config.set_xmlrpc(f'https://admin:dsproject@itsa.open-squared.tech/tradon/')
Purchase = Model.get('purchase.purchase')
# Test: Set number on draft purchase
print("=== Testing Number Field Persistence ===")
draft = Purchase(682) # The ID from your previous test
print(f"Before: number = {draft.number}, state = {draft.state}")
# Set number
draft.number = "MANUAL_TEST_001"
draft.save()
print(f"After save: number = {draft.number}")
# Reload by fetching again from database
draft_reloaded = Purchase(682)
print(f"After reload: number = {draft_reloaded.number}")
if draft_reloaded.number == "MANUAL_TEST_001":
print("✓ SUCCESS: Number WAS persisted via Proteus!")
else:
print(f"✗ FAILED: Number NOT persisted. Got: {draft_reloaded.number}")
print("\nThis means the 'number' field is likely:")
print(" 1. Read-only (controlled by Tryton workflow)")
print(" 2. Auto-generated by a sequence")
print(" 3. Overwritten by server-side logic")
# Now verify in PostgreSQL
print("\n=== Verify in PostgreSQL ===")
print("Run this SQL query to confirm:")
print("SELECT id, number, state FROM purchase_purchase WHERE id = 682;")

44
Reference Data/python_project/scripts/check_proteus_purchase_contract.py Normal file
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from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
Purchase = Model.get('purchase.purchase')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
# Récupération des records
company = Company(6)
party = Party(2776)
# Création de la commande d'achat
purchase = Purchase()
purchase.company = company
purchase.party = party
purchase.currency = company.currency
purchase.tol_min = Decimal(1)
purchase.wb = Wb(1)
# Ligne d'achat
product = Product(12) # id du produit
line = purchase.lines.new()
line.product = product
line.quantity = 10
line.unit_price = product.cost_price
# Sauvegarde
purchase.save()
print(f"Purchase créée : {purchase.id}")

45
Reference Data/python_project/scripts/check_proteus_sale_contract.py Normal file
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from proteus import config, Model
from decimal import getcontext, Decimal, ROUND_HALF_UP
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
config = config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
Company = Model.get('company.company')
Party = Model.get('party.party')
Currency = Model.get('currency.currency')
sale = Model.get('sale.sale')
Product = Model.get('product.product')
Wb = Model.get('purchase.weight.basis')
Location = Model.get('stock.location')
# Récupération des records
company = Company(6)
party = Party(2789)
fromLocation = Location(1247)
# Création de la commande de vente
sale = sale()
sale.company = company
sale.party = party
sale.currency = company.currency
sale.tol_min = Decimal(1)
sale.wb = Wb(1)
sale.from_location = fromLocation
# Ligne d'achat
#product = Product(12) # id du produit
# line = sale.lines.new()
# line.product = product
# line.quantity = 10
# line.unit_price = product.cost_price
# Sauvegarde
sale.save()
print(f"sale créée : {sale.id}")

11
Reference Data/python_project/scripts/debug_config.py Normal file
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import sys
from pathlib import Path
# Add parent directory to Python path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
# Debug: Print what's available in config
import helpers.config as cfg
print("Available in config:", dir(cfg))
print("PURCHASE_FEES_CSV value:", getattr(cfg, 'PURCHASE_FEES_CSV', 'NOT FOUND'))

398
Reference Data/python_project/scripts/import_parties.py Normal file
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import csv
from proteus import config, Model
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Parties.csv'
# Default values
DEFAULT_COUNTRY = 'US' # Default country code if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_country(country_code):
"""Find country by code"""
Country = Model.get('country.country')
if not country_code:
country_code = DEFAULT_COUNTRY
countries = Country.find([('code', '=', country_code.upper())])
if countries:
return countries[0]
else:
print(f" ⚠ Warning: Country '{country_code}' not found, using '{DEFAULT_COUNTRY}'")
default_countries = Country.find([('code', '=', DEFAULT_COUNTRY)])
if default_countries:
return default_countries[0]
# Get first available country as last resort
all_countries = Country.find([])
if all_countries:
print(f" ⚠ Using first available country: {all_countries[0].name}")
return all_countries[0]
raise ValueError("No countries found in database!")
def get_subdivision(country, subdivision_code):
"""Find country subdivision (state/province) by code"""
if not subdivision_code:
return None
Subdivision = Model.get('country.subdivision')
# Search for subdivision with matching code and country
subdivisions = Subdivision.find([
('code', '=', f"{country.code}-{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
# Try without country prefix
subdivisions = Subdivision.find([
('code', 'ilike', f"%{subdivision_code}"),
('country', '=', country.id)
])
if subdivisions:
return subdivisions[0]
print(f" ⚠ Warning: Subdivision '{subdivision_code}' not found for country {country.code}")
return None
def check_party_exists_by_name(name):
"""Check if party with given name already exists"""
Party = Model.get('party.party')
parties = Party.find([('name', '=', name)])
return parties[0] if parties else None
def create_party_with_addresses(row):
"""Create a new party with address(es) using proteus"""
Party = Model.get('party.party')
Address = Model.get('party.address')
# Create party - let Tryton auto-generate the code
party = Party()
party.name = row['name']
if row.get('tax_identifier'):
party.tax_identifier = row['tax_identifier']
if row.get('vat_code'):
party.vat_code = row['vat_code']
# Save the party FIRST (without addresses)
party.save()
# Check if we have meaningful address data
# Require at least street OR city to be present (not empty)
has_street = bool(row.get('street'))
has_city = bool(row.get('city'))
has_postal_code = bool(row.get('postal_code'))
has_country = bool(row.get('country_code'))
# Create address only if we have at least street OR city
if has_street or has_city:
address = Address()
# Link to the party we just created
address.party = party
if row.get('address_name'):
address.name = row['address_name']
if has_street:
address.street = row['street']
if has_city:
address.city = row['city']
# Use postal_code instead of zip
if has_postal_code:
address.postal_code = row['postal_code']
# Get country
if has_country:
country_code = row['country_code']
country = get_country(country_code)
else:
country = get_country(DEFAULT_COUNTRY)
address.country = country
# Get subdivision (state/province) if provided
if row.get('subdivision_code'):
subdivision = get_subdivision(country, row['subdivision_code'])
if subdivision:
address.subdivision = subdivision
# Save the address separately
address.save()
# Clean up any empty addresses that might have been auto-created
# Reload party to get fresh data
party = Party(party.id)
# Find and delete empty addresses
addresses_to_delete = []
for addr in party.addresses:
# Consider an address empty if it has no street, city, or postal_code
is_empty = (
(not addr.street or not addr.street.strip()) and
(not addr.city or not addr.city.strip()) and
(not addr.postal_code or not addr.postal_code.strip())
)
if is_empty:
addresses_to_delete.append(addr)
# Delete empty addresses
if addresses_to_delete:
Address.delete(addresses_to_delete)
print(f" ℹ Cleaned up {len(addresses_to_delete)} empty address(es)")
# Reload party one more time to return clean data
party = Party(party.id)
return party
def import_parties(csv_file):
"""Import parties from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing parties from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
name = row.get('name', '').strip()
tax_identifier = row.get('tax_identifier', '').strip()
vat_code = row.get('vat_code', '').strip()
# Address fields
address_name = row.get('address_name', '').strip()
street = row.get('street', '').strip()
city = row.get('city', '').strip()
# Handle both 'zip' and 'postal_code' column names
postal_code = row.get('postal_code', '').strip() or row.get('zip', '').strip()
country_code = row.get('country_code', '').strip()
subdivision_code = row.get('subdivision_code', '').strip()
# Skip empty rows
if not name:
continue
# Skip if postal_code is 'NULL' or '0'
if postal_code and postal_code.upper() in ['NULL', '0']:
postal_code = ''
print(f"Processing Row {row_num}: {name}")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if party already exists in database
existing_party = check_party_exists_by_name(name)
if existing_party:
print(f" ⚠ Party '{name}' already exists with code: {existing_party.code}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Create the party with address
row_data = {
'name': name,
'tax_identifier': tax_identifier,
'vat_code': vat_code,
'address_name': address_name,
'street': street,
'city': city,
'postal_code': postal_code,
'country_code': country_code,
'subdivision_code': subdivision_code
}
party = create_party_with_addresses(row_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created party")
print(f" Party ID: {party.id}")
print(f" Auto-generated Code: {party.code}")
print(f" Name: {name}")
if tax_identifier:
print(f" Tax Identifier: {tax_identifier}")
if vat_code:
print(f" VAT Code: {vat_code}")
if party.addresses:
print(f" Addresses: {len(party.addresses)}")
for addr in party.addresses:
addr_street = (addr.street[:50] + '...') if addr.street and len(addr.street) > 50 else (addr.street or 'N/A')
addr_city = addr.city if addr.city else 'N/A'
addr_postal = addr.postal_code if addr.postal_code else 'N/A'
print(f" - {addr_street}")
print(f" {addr_city}, {addr_postal}")
else:
print(f" Addresses: 0 (no address data provided)")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} parties")
print(f"Skipped (already exist or duplicates): {skipped_count} parties")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported parties"""
Party = Model.get('party.party')
print(f"\n{'='*70}")
print("VERIFICATION - Parties")
print(f"{'='*70}\n")
# Find all parties (or limit to recently created ones)
parties = Party.find([], order=[('id', 'DESC')])
if parties:
print(f"Found {len(parties)} parties (showing last 20):\n")
print(f"{'Code':<15} {'Name':<40} {'Addresses':<10}")
print("-" * 70)
for party in parties[:20]: # Show last 20 created
code = party.code or 'N/A'
name = party.name[:39] if party.name else 'N/A'
addr_count = len(party.addresses) if party.addresses else 0
print(f"{code:<15} {name:<40} {addr_count:<10}")
else:
print("No parties found")
print()
def list_available_countries():
"""List all available countries"""
print(f"\n{'='*70}")
print("AVAILABLE COUNTRIES (first 20)")
print(f"{'='*70}\n")
Country = Model.get('country.country')
countries = Country.find([])
if countries:
print(f"Found {len(countries)} countries:\n")
for country in countries[:20]: # Show first 20
print(f" - {country.code}: {country.name}")
if len(countries) > 20:
print(f" ... and {len(countries) - 20} more")
else:
print("No countries found")
print()
def main():
print("="*70)
print("TRYTON PARTY IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Party codes will be auto-generated by Tryton")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available countries
# Uncomment if you want to see what's available in your database
# list_available_countries()
# Import parties
import_parties(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

879
Reference Data/python_project/scripts/import_purchase_contracts_with_mapping.py Normal file
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# Add parent directory to Python path so we can import helpers
import sys
from pathlib import Path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import psycopg2
import csv
from decimal import Decimal
from proteus import Model
from helpers.config import (
PURCHASE_CONTRACTS_CSV,
connect_to_tryton,
get_db_connection,
DB_CONFIG # Add this to your config
)
from helpers.tryton_helpers import (
parse_decimal,
parse_date,
ensure_party_is_supplier,
find_party_by_name,
find_uom_by_code,
find_currency_by_code,
find_warehouse,
find_location,
find_payment_term_by_name,
find_product_by_code,
find_incoterm_by_code,
find_weight_basis_by_name,
get_party_invoice_address,
find_purchase_contract_by_number,
find_or_create_analytic_dimension_value,
link_analytic_dimensions_to_purchase
)
# Import migration mapping helper
from helpers.migration_mapping import MigrationMapper
# CSV Configuration
CSV_FILE_PATH = PURCHASE_CONTRACTS_CSV
# Default values
DEFAULT_STATE = 'draft'
DEFAULT_INVOICE_METHOD = 'manual'
DEFAULT_INVOICE_STATE = 'none'
DEFAULT_SHIPMENT_STATE = 'none'
# Import options
AUTO_ENABLE_SUPPLIERS = True # Set to False to skip auto-enabling supplier flag
SKIP_NON_SUPPLIERS = False # Set to True to skip parties that aren't suppliers
def update_purchase_custom_fields(purchase_id, custom_data):
"""Update custom fields in purchase using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# First, check what columns exist in purchase_purchase table
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'purchase_purchase'
AND column_name IN ('number')
ORDER BY column_name
""")
existing_columns = {row[0]: row[1] for row in cursor.fetchall()}
print(f" Available custom columns in purchase_purchase:")
for col_name, col_type in existing_columns.items():
print(f" - {col_name} ({col_type})")
# Build UPDATE query for custom fields
set_clauses = []
values = []
if 'number' in existing_columns and custom_data.get('number'):
set_clauses.append("number = %s")
values.append(custom_data['number'])
print(f" Adding number = {custom_data['number']}")
if set_clauses:
values.append(purchase_id)
update_query = f"""
UPDATE purchase_purchase
SET {', '.join(set_clauses)}
WHERE id = %s
"""
print(f" Executing UPDATE with fields: {', '.join([c.split('=')[0].strip() for c in set_clauses])}")
cursor.execute(update_query, values)
rows_affected = cursor.rowcount
conn.commit()
if rows_affected > 0:
print(f" ✓ {rows_affected} row(s) updated successfully")
else:
print(f" ⚠ No rows updated (purchase_id={purchase_id} not found?)")
else:
print(f" No custom fields to update (either no data provided or columns not found)")
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def update_line_custom_fields(line_id, custom_data):
"""Update custom fields in purchase line using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update line custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# Build UPDATE query for custom fields
set_clauses = []
values = []
if custom_data.get('from_del'):
set_clauses.append("from_del = %s")
values.append(custom_data['from_del'])
if custom_data.get('to_del'):
set_clauses.append("to_del = %s")
values.append(custom_data['to_del'])
if set_clauses:
values.append(line_id)
update_query = f"""
UPDATE purchase_line
SET {', '.join(set_clauses)}
WHERE id = %s
"""
cursor.execute(update_query, values)
conn.commit()
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating line custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_pricing_estimated(line_id, pricing_data):
"""Create pricing_estimated record using direct SQL"""
if not pricing_data or not pricing_data.get('trigger'):
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not create pricing estimate - database connection failed")
return False
try:
cursor = conn.cursor()
# Check if pricing_estimated table exists and what its structure is
cursor.execute("""
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'pricing_estimated'
ORDER BY ordinal_position
""")
columns = [row[0] for row in cursor.fetchall()]
if not columns:
print(f" Info: pricing_estimated table does not exist, skipping pricing estimate")
cursor.close()
conn.close()
return True
# Insert into pricing_estimated table
insert_query = """
INSERT INTO pricing_estimated (line, trigger, estimated_date, create_date, write_date, create_uid, write_uid)
VALUES (%s, %s, %s, NOW(), NOW(), 1, 1)
"""
cursor.execute(insert_query, (
line_id,
pricing_data['trigger'],
pricing_data.get('estimated_date')
))
conn.commit()
cursor.close()
conn.close()
print(f" ✓ Pricing estimate created successfully")
return True
except psycopg2.errors.ForeignKeyViolation as e:
# This is expected if pricing_estimated references purchase_line only
print(f" Info: Pricing estimate skipped (table references purchase_line only, not sale_line)")
if conn:
conn.rollback()
conn.close()
return True # Return True to continue processing
except Exception as e:
print(f" ⚠ Error creating pricing estimate: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def import_purchases(csv_file):
"""Import purchases from CSV file with migration mapping tracking"""
Purchase = Model.get('purchase.purchase')
PurchaseLine = Model.get('purchase.line')
print(f"{'='*70}")
print(f"IMPORTING PURCHASES FROM CSV")
print(f"{'='*70}\n")
print(f"Reading from: {csv_file}\n")
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Get company (assuming single company or default)
Company = Model.get('company.company')
companies = Company.find([])
if not companies:
print("✗ Error: No company found in the system")
return
company = companies[0]
print(f"Using company: {company.rec_name}\n")
# Collect all mappings for batch insert at the end
purchase_mappings = []
line_mappings = []
try:
# Initialize migration mapper
with MigrationMapper(DB_CONFIG) as mapper:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
row_num = 0
for row in reader:
row_num += 1
try:
# Extract fields from CSV
source_purchase_id = row.get('source_id', '').strip() # Source system ID
number = row.get('number', '').strip()
reference = row.get('reference', '').strip()
our_reference = row.get('our_reference', '').strip()
if not number:
print(f"Row {row_num}: Skipping - no number\n")
continue
print(f"{'='*70}")
print(f"Row {row_num}: Processing purchase {number}")
print(f"{'='*70}")
# CHECK IF ALREADY IMPORTED using migration mapper
if source_purchase_id:
existing_tryton_id = mapper.get_tryton_id('purchase_contract', source_purchase_id)
if existing_tryton_id:
print(f" ⏭ Purchase already imported (Source ID: {source_purchase_id} -> Tryton ID: {existing_tryton_id})")
skipped_count += 1
print()
continue
# Alternative: Check by number using existing helper
existing_purchase = find_purchase_contract_by_number(number)
if existing_purchase:
print(f" ⏭ Purchase {number} already exists (ID: {existing_purchase.id})")
# Save mapping even if it already exists (for reconciliation)
if source_purchase_id:
purchase_mappings.append({
'object_type': 'purchase_contract',
'source_id': source_purchase_id,
'tryton_model': 'purchase.purchase',
'tryton_id': existing_purchase.id,
'recon_key': number
})
skipped_count += 1
print()
continue
# Parse other fields
purchase_date = parse_date(row.get('purchase_date'))
party_name = row.get('party_name', '').strip()
# Find related records
party = find_party_by_name(party_name)
if not party:
raise ValueError(f"Party not found: {party_name}")
# Check party is supplier
if not ensure_party_is_supplier(party, auto_enable=AUTO_ENABLE_SUPPLIERS):
if SKIP_NON_SUPPLIERS:
print(f" ⏭ Skipping - party {party_name} is not a supplier\n")
skipped_count += 1
continue
else:
raise ValueError(f"Party {party_name} is not a supplier")
# Reload party after category addition to get fresh data
Party = Model.get('party.party')
party = Party(party.id)
# Find invoice address
invoice_address = get_party_invoice_address(party)
if not invoice_address:
raise ValueError(f"No invoice address found for party {party_name}")
# Parse additional fields
currency = find_currency_by_code(row.get('currency', 'USD'))
warehouse = find_warehouse(row.get('warehouse'))
payment_term = find_payment_term_by_name(row.get('payment_term'))
weight_basis_abbr = find_weight_basis_by_name(row.get('weight_basis'))
tol_min_pct = parse_decimal(row.get('tol_min_pct', ''), 'tol_min_pct')
tol_max_pct = parse_decimal(row.get('tol_max_pct', ''), 'tol_max_pct')
tol_min_qty = parse_decimal(row.get('tol_min_qty', ''), 'tol_min_qty')
tol_max_qty = parse_decimal(row.get('tol_max_qty', ''), 'tol_max_qty')
from_location_name = row.get('from_location_name', '').strip()
from_location = find_location(from_location_name)
to_location_name = row.get('to_location_name', '').strip()
to_location = find_location(to_location_name)
incoterm_code = row.get('incoterm_name', '').strip()
incoterm = find_incoterm_by_code(incoterm_code, 2025)
description = row.get('description', '').strip()
comment = row.get('comment', '').strip()
trader_name = row.get('trader', '').strip()
operator_name = row.get('operator', '').strip()
demurrage = parse_decimal(row.get('demurrage', ''), 'demurrage')
laytime_hours = parse_decimal(row.get('laytime_hours', ''), 'laytime_hours')
nor_extra_hours = parse_decimal(row.get('nor_extra_hours', ''), 'nor_extra_hours')
pumping_rate = parse_decimal(row.get('pumping_rate', ''), 'pumping_rate')
# CREATE PURCHASE
print(f" Creating purchase...")
purchase= Purchase()
purchase.company = company
purchase.reference = reference
purchase.our_reference = our_reference
purchase.party = party
purchase.invoice_address = invoice_address
purchase.purchase_date = purchase_date
purchase.currency = currency
if warehouse:
purchase.warehouse = warehouse
purchase.payment_term = payment_term
purchase.wb = weight_basis_abbr
purchase.tol_min = tol_min_pct
purchase.tol_max = tol_max_pct
purchase.tol_min_qt = tol_min_qty
purchase.tol_max_qt = tol_max_qty
purchase.incoterm = incoterm
purchase.from_location = from_location
purchase.to_location = to_location
purchase.description = description
purchase.comment = comment
purchase.state = DEFAULT_STATE
purchase.invoice_method = DEFAULT_INVOICE_METHOD
# Retrieve trader
trader = find_party_by_name(trader_name)
if not party:
raise ValueError(f"Trader not found: {trader_name}")
purchase.trader = trader
# Retrieve operator
operator = find_party_by_name(operator_name)
if not party:
raise ValueError(f"Operator not found: {operator_name}")
purchase.operator = operator
# Save the purchase
purchase.save()
print(f" ✓ Purchase created (ID: {purchase.id})")
# Update custom fields (like 'number')
custom_fields = {'number': number}
update_purchase_custom_fields(purchase.id, custom_fields)
# SAVE MIGRATION MAPPING for purchase
if source_purchase_id:
purchase_mappings.append({
'object_type': 'purchase_contract',
'source_id': source_purchase_id,
'tryton_model': 'purchase.purchase',
'tryton_id': purchase.id,
'recon_key': number
})
print(f" 📝 Mapping queued: Source {source_purchase_id} -> Tryton {purchase.id}")
# Process purchase lines
line_type = row.get('line_type', 'line').strip()
source_line_id = row.get('source_line_id', '').strip()
if line_type == 'line':
# Regular product line
product_code = row.get('line_product_code', '').strip()
quantity = parse_decimal(row.get('line_quantity', ''), 'quantity')
unit_price = parse_decimal(row.get('line_price', ''), 'unit_price')
period_at = row.get('period_at', '').strip().lower()
concentration = parse_decimal(row.get('concentration', ''), 'concentration')
product = find_product_by_code(product_code)
if not product:
raise ValueError(f"Product not found: {product_code}")
unit = find_uom_by_code(row.get('line_unit_code', ''))
# Parse shipping dates
from_del = parse_date(row.get('line_from_del', ''))
to_del = parse_date(row.get('line_to_del', ''))
# Create line
line = PurchaseLine()
line.purchase = purchase
line.type = 'line'
sequence = 1 # Default sequence, can be enhanced to handle multiple lines
line.sequence = sequence
line.product = product
line.quantity = quantity
line.unit = unit if unit else product.purchase_uom
line.unit_price = unit_price
line.from_del = from_del
line.to_del = to_del
line.period_at = period_at
line.concentration = concentration
# Optional fields
description = row.get('description', '').strip()
if description:
line.description = description
line.save()
# # Update line custom fields
# line_custom = {}
# from_del = row.get('from_del', '').strip()
# to_del = row.get('to_del', '').strip()
# if from_del:
# line_custom['from_del'] = from_del
# if to_del:
# line_custom['to_del'] = to_del
# if line_custom:
# update_line_custom_fields(line.id, line_custom)
# Create pricing estimate if applicable
pricing_trigger = row.get('pricing_trigger', '').strip()
pricing_estimated_date = parse_date(row.get('pricing_estimated_date', ''))
if pricing_trigger:
pricing_data = {
'trigger': pricing_trigger,
'estimated_date': pricing_estimated_date
}
create_pricing_estimated(line.id, pricing_data)
# SAVE MIGRATION MAPPING for line
if source_line_id:
line_mappings.append({
'object_type': 'purchase_line',
'source_id': source_line_id,
'tryton_model': 'purchase.line',
'tryton_id': line.id,
'recon_key': f"{number}-Line {sequence}-{product_code}"
})
print(f" ✓ Added line (ID: {line.id})")
print(f" Product: {product.rec_name}")
print(f" Quantity: {quantity}")
else:
# Comment, subtitle, or other line types
line = PurchaseLine()
line.purchase = purchase
line.type = line_type
line.description = row.get('description', '').strip()
line.save()
print(f" ✓ Added {line_type} line (ID: {line.id})")
# **NEW: Handle analytic dimensions**
book_name = row.get('book', '').strip()
strategy_name = row.get('strategy', '').strip()
print(f"\nProcessing analytic dimensions...")
# Collect all dimension values in one dictionary
dimension_values = {}
# Handle Book dimension
if book_name:
book_dimension_value = find_or_create_analytic_dimension_value('Book', book_name)
if book_dimension_value:
dimension_values['Book'] = book_dimension_value
else:
print(f" ⚠ Could not find/create Book dimension value: {book_name}")
# Handle Strategy dimension
if strategy_name:
strategy_dimension_value = find_or_create_analytic_dimension_value('Strategy', strategy_name)
if strategy_dimension_value:
dimension_values['Strategy'] = strategy_dimension_value
else:
print(f" ⚠ Could not find/create Strategy dimension value: {strategy_name}")
# Link ALL dimensions to purchase in ONE call
if dimension_values:
link_analytic_dimensions_to_purchase(purchase, dimension_values)
else:
print(f" No analytic dimensions to link")
imported_count += 1
print(f"✓ Successfully imported purchase {number}\n")
except Exception as e:
error_msg = f"Row {row_num} - {number if 'number' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# BATCH SAVE ALL MAPPINGS at the end
print(f"\n{'='*70}")
print("SAVING MIGRATION MAPPINGS")
print(f"{'='*70}\n")
if purchase_mappings:
print(f"Saving {len(purchase_mappings)} purchase mappings...")
mapper.save_mappings_batch(purchase_mappings)
print(f"✓ Purchase mappings saved\n")
if line_mappings:
print(f"Saving {len(line_mappings)} line mappings...")
mapper.save_mappings_batch(line_mappings)
print(f"✓ Line mappings saved\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} purchases")
print(f"Skipped (already exist): {skipped_count} purchases")
print(f"Errors: {error_count}")
print(f"Migration mappings saved: {len(purchase_mappings)} purchases, {len(line_mappings)} lines")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported purchases and their migration mappings"""
Purchase = Model.get('purchase.purchase')
print(f"\n{'='*70}")
print("VERIFICATION - Purchases and Migration Mappings")
print(f"{'='*70}\n")
# Find all purchases (or limit to recently created ones)
purchases = Purchase.find([], order=[('id', 'DESC')])
if purchases:
print(f"Found {len(purchases)} purchases (showing last 10):\n")
print(f"{'ID':<8} {'Number':<15} {'Reference':<15} {'Party':<25} {'State':<12} {'Source ID':<15}")
print("-" * 100)
# Initialize mapper to look up source IDs
with MigrationMapper(DB_CONFIG) as mapper:
for purchase in purchases[:10]: # Show last 10 created
purchase_id = purchase.id
# Get number from database since it's a custom field
conn = get_db_connection()
number = 'N/A'
if conn:
try:
cursor = conn.cursor()
cursor.execute("SELECT number FROM purchase_purchase WHERE id = %s", (purchase_id,))
result = cursor.fetchone()
if result and result[0]:
number = str(result[0])[:14]
cursor.close()
conn.close()
except:
if conn:
conn.close()
# Look up source ID from migration mapping
source_id = 'N/A'
try:
cursor = mapper.connection.cursor()
cursor.execute("""
SELECT source_id[1]
FROM public.os_migration_mapping
WHERE tryton_id = %s
AND 'purchase_contract' = ANY(object_type)
ORDER BY write_date DESC
LIMIT 1
""", (purchase_id,))
result = cursor.fetchone()
if result and result[0]:
source_id = str(result[0])[:14]
cursor.close()
except:
pass
reference = purchase.reference[:14] if purchase.reference else 'N/A'
party = purchase.party.rec_name[:24] if purchase.party else 'N/A'
state = purchase.state if purchase.state else 'N/A'
print(f"{purchase_id:<8} {number:<15} {reference:<15} {party:<25} {state:<12} {source_id:<15}")
# Show lines
if purchase.lines:
print(f" Lines: {len(purchase.lines)}")
for line in purchase.lines[:3]: # Show first 3 lines
if line.type == 'line' and line.product:
print(f" - {line.product.rec_name[:40]} | Qty: {line.quantity} | Price: {line.unit_price}")
else:
print(f" - [{line.type}] {(line.description or '')[:40]}")
else:
print("No purchases found")
print()
def check_mapping_stats():
"""Display statistics about migration mappings"""
print(f"\n{'='*70}")
print("MIGRATION MAPPING STATISTICS")
print(f"{'='*70}\n")
try:
with MigrationMapper(DB_CONFIG) as mapper:
cursor = mapper.connection.cursor()
# Count mappings by object type
cursor.execute("""
SELECT
object_type[1] as obj_type,
COUNT(*) as count,
MIN(write_date) as first_import,
MAX(write_date) as last_import
FROM public.os_migration_mapping
GROUP BY object_type[1]
ORDER BY count DESC
""")
results = cursor.fetchall()
if results:
print(f"{'Object Type':<25} {'Count':<10} {'First Import':<15} {'Last Import':<15}")
print("-" * 70)
for row in results:
obj_type = row[0] or 'N/A'
count = row[1]
first = row[2].strftime('%Y-%m-%d') if row[2] else 'N/A'
last = row[3].strftime('%Y-%m-%d') if row[3] else 'N/A'
print(f"{obj_type:<25} {count:<10} {first:<15} {last:<15}")
# Total count
cursor.execute("SELECT COUNT(*) FROM public.os_migration_mapping")
total = cursor.fetchone()[0]
print(f"\nTotal mappings: {total}")
else:
print("No migration mappings found")
cursor.close()
except Exception as e:
print(f"Error retrieving mapping statistics: {e}")
import traceback
traceback.print_exc()
print()
def prepare_parties_as_supplier(csv_file):
"""Pre-process: Add SUPPLIER category to all parties in CSV using Proteus"""
Party = Model.get('party.party')
Category = Model.get('party.category')
print(f"{'='*70}")
print(f"PREPARING PARTIES AS SUPPLIERS (via Categories)")
print(f"{'='*70}\n")
# Find SUPPLIER category
supplier_categories = Category.find([('name', '=', 'SUPPLIER')])
if not supplier_categories:
# Try case-insensitive
all_categories = Category.find([])
for cat in all_categories:
if cat.name.upper() == 'SUPPLIER':
supplier_categories = [cat]
break
if not supplier_categories:
print(f"✗ SUPPLIER category not found in the system!")
print(f"Please create a party category named 'SUPPLIER' first.\n")
return False
supplier_category = supplier_categories[0]
print(f"Found SUPPLIER category (ID: {supplier_category.id})\n")
party_names = set()
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
for row in reader:
party_name = row.get('party_name', '').strip()
if party_name:
party_names.add(party_name)
print(f"Found {len(party_names)} unique parties in CSV\n")
updated_count = 0
already_supplier_count = 0
not_found_count = 0
for party_name in party_names:
print(f"Processing party: {party_name}")
# Find party
parties = Party.find([('name', '=', party_name)])
if not parties:
parties = Party.find([('code', '=', party_name)])
if not parties:
print(f" ✗ Not found\n")
not_found_count += 1
continue
party = parties[0]
# Check if already has SUPPLIER category
has_supplier = False
if party.categories:
for cat in party.categories:
if cat.name.upper() == 'SUPPLIER':
has_supplier = True
break
if has_supplier:
print(f" ✓ Already has SUPPLIER category\n")
already_supplier_count += 1
continue
# Add SUPPLIER category using Proteus
try:
# Reload party and category in same context
party_to_update = Party(party.id)
supplier_cat = Category(supplier_category.id)
party_to_update.categories.append(supplier_cat)
party_to_update.save()
print(f" ✓ SUPPLIER category added\n")
updated_count += 1
except Exception as e:
print(f" ✗ Failed: {e}\n")
print(f"{'='*70}")
print(f"PREPARATION SUMMARY")
print(f"{'='*70}")
print(f"Already have SUPPLIER category: {already_supplier_count}")
print(f"SUPPLIER category added: {updated_count}")
print(f"Not found: {not_found_count}")
print(f"{'='*70}\n")
return True
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}\n")
return False
except Exception as e:
print(f"✗ Error: {e}\n")
import traceback
traceback.print_exc()
return False
def main():
print("="*70)
print("TRYTON PURCHASE IMPORT SCRIPT WITH MIGRATION MAPPING")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: Prepare all parties as suppliers first
# Uncomment the following line to mark all parties in CSV as suppliers before importing
prepare_parties_as_supplier(CSV_FILE_PATH)
# Import purchases with migration mapping
import_purchases(CSV_FILE_PATH)
# Verify import
verify_import()
# Show mapping statistics
check_mapping_stats()
return 0
if __name__ == '__main__':
exit(main())

364
Reference Data/python_project/scripts/import_purchase_fees.py Normal file
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import sys
from pathlib import Path
# Add parent directory to Python path so we can import helpers
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import csv
from decimal import Decimal
from proteus import config, Model
from helpers.config import (
PURCHASE_FEES_CSV,
connect_to_tryton)
from helpers.tryton_helpers import (
find_party_by_name,
find_product_by_code,
find_purchase_contract_by_ref,
find_contract_line_by_sequence,
find_currency_by_code,
parse_decimal,
find_supplier_category,
ensure_party_is_supplier,
find_fee_mode_by_name,
find_payable_receivable_by_name,
get_existing_fees_for_line,
fee_already_exists)
# CSV Configuration
CSV_FILE_PATH = PURCHASE_FEES_CSV
# Import options
AUTO_ENABLE_SUPPLIER = True # Set to False to skip auto-enabling supplier flag
SKIP_NON_SUPPLIERS = False # Set to True to skip parties that aren't suppliers
def import_purchase_contract_fees(csv_file):
"""Import purchase contract line fees from CSV"""
print(f"{'='*70}")
print("IMPORTING PURCHASE CONTRACT LINE FEES")
print(f"{'='*70}\n")
# Get models
try:
PurchaseLineFee = Model.get('fee.fee')
except Exception as e:
print(f"✗ Error: Could not load fee.fee model - {e}")
print("Please ensure the model name is correct for your Tryton customization")
return
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
current_contract_ref = None
current_contract = None
current_line_sequence = None
current_line = None
for row_num, row in enumerate(reader, start=2): # Start at 2 (header is row 1)
try:
# Extract data from CSV
contract_ref = row.get('contract_ref', '').strip()
line_sequence = row.get('line_sequence', '').strip()
product_code = row.get('product', '').strip()
supplier_name = row.get('supplier', '').strip()
currency_code = row.get('currency', '').strip()
p_r_value = row.get('p_r', '').strip()
mode_name = row.get('mode', '').strip()
price_value = row.get('price', '').strip()
unit_value = row.get('unit', '').strip()
print(f"Processing row {row_num}: {contract_ref} - Line {line_sequence} - {product_code}")
# Validate required fields
if not contract_ref:
print(f" ✗ Skipping: Missing contract_ref\n")
skipped_count += 1
continue
if not line_sequence:
print(f" ✗ Skipping: Missing line_sequence\n")
skipped_count += 1
continue
if not product_code:
print(f" ✗ Skipping: Missing product\n")
skipped_count += 1
continue
# Cache contract and line if same as previous row
if contract_ref != current_contract_ref:
current_contract = find_purchase_contract_by_ref(contract_ref)
current_contract_ref = contract_ref
current_line_sequence = None
current_line = None
if not current_contract:
print(f" ✗ Skipping: Contract not found\n")
skipped_count += 1
continue
# Cache line if same as previous row
if line_sequence != current_line_sequence:
current_line = find_contract_line_by_sequence(current_contract, line_sequence)
current_line_sequence = line_sequence
if not current_line:
print(f" ✗ Skipping: Contract line not found\n")
skipped_count += 1
continue
# Find related records
product = find_product_by_code(product_code)
if not product:
print(f" ✗ Skipping: Product not found\n")
skipped_count += 1
continue
supplier = find_party_by_name(supplier_name)
if not supplier:
print(f" ✗ Skipping: Supplier not found\n")
skipped_count += 1
continue
# Ensure party has SUPPLIER category
supplier, is_supplier = ensure_party_is_supplier(supplier, auto_enable=AUTO_ENABLE_SUPPLIER)
if not is_supplier:
if SKIP_NON_SUPPLIERS:
print(f" ⚠ Skipping purchase - party does not have SUPPLIER category\n")
skipped_count += 1
current_purchase = None
continue
else:
error_msg = f"Row {row_num}: Party '{supplier.rec_name}' does not have SUPPLIER category"
errors.append(error_msg)
error_count += 1
current_purchase = None
continue
currency = find_currency_by_code(currency_code)
if not currency:
print(f" ✗ Skipping: Currency not found\n")
skipped_count += 1
continue
# Parse price
price = parse_decimal(price_value, 'price')
if price is None:
print(f" ✗ Skipping: Invalid price\n")
skipped_count += 1
continue
# Determine payable/receivable
payable_receivable = find_payable_receivable_by_name(p_r_value)
# Find fee mode
mode = find_fee_mode_by_name(mode_name)
# Check if fee already exists
existing_fees = get_existing_fees_for_line(current_line)
if fee_already_exists(existing_fees, product, supplier, price):
print(f" ○ Fee already exists for this line\n")
skipped_count += 1
continue
# Create the fee
fee = PurchaseLineFee()
fee.line = current_line
fee.product = product
fee.supplier = supplier
fee.currency = currency
fee.price = price
# Set type if found and field exists
if mode and hasattr(fee, 'type'):
fee.type = 'ordered' # Assuming all imported fees are 'ordered'
# Set weight_type if found and field exists
if mode and hasattr(fee, 'weight_type'):
fee.weight_type = 'brut'
# Set p_r (payable or receivable) if found and field exists
if mode and hasattr(fee, 'p_r'):
fee.p_r = payable_receivable
# Set mode if found and field exists
if mode and hasattr(fee, 'mode'):
fee.mode = mode
# Set unit if field exists
if unit_value and hasattr(fee, 'unit'):
# Try to find the unit
Unit = Model.get('product.uom')
units = Unit.find([('symbol', '=', unit_value)])
if not units:
units = Unit.find([('name', '=', unit_value)])
if units:
fee.unit = units[0]
# Save the fee
fee.save()
print(f" ✓ Fee created successfully")
print(f" Product: {product.rec_name}")
print(f" Supplier: {supplier.rec_name}")
print(f" Price: {price} {currency.code}")
print(f" Type: {payable_receivable}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {contract_ref}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} fees")
print(f"Skipped (missing data or already exist): {skipped_count} fees")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported purchase contract fees"""
print(f"\n{'='*70}")
print("VERIFICATION - Purchase Contract Line Fees")
print(f"{'='*70}\n")
try:
PurchaseLineFee = Model.get('fee.fee')
# Find all fees (or limit to recently created ones)
fees = PurchaseLineFee.find([], order=[('id', 'DESC')])
if fees:
print(f"Found {len(fees)} fees (showing last 50):\n")
print(f"{'ID':<8} {'Contract':<15} {'Product':<25} {'Supplier':<25} {'Price':<12} {'Type':<12}")
print("-" * 105)
for fee in fees[:50]: # Show last 50 created
fee_id = fee.id
# Get contract reference
contract_ref = 'N/A'
if hasattr(fee, 'line') and fee.line:
line = fee.line
if hasattr(line, 'purchase') and line.purchase:
contract = line.purchase
if hasattr(contract, 'reference') and contract.reference:
contract_ref = str(contract.reference)[:14]
product = fee.product.rec_name[:24] if hasattr(fee, 'product') and fee.product else 'N/A'
supplier = fee.supplier.rec_name[:24] if hasattr(fee, 'supplier') and fee.supplier else 'N/A'
price = f"{fee.price:.2f}" if hasattr(fee, 'price') and fee.price else 'N/A'
# Get type (payable/receivable)
fee_type = 'N/A'
if hasattr(fee, 'type'):
fee_type = fee.type
elif hasattr(fee, 'payable_receivable'):
fee_type = fee.payable_receivable
print(f"{fee_id:<8} {contract_ref:<15} {product:<25} {supplier:<25} {price:<12} {fee_type:<12}")
else:
print("No fees found")
print()
except Exception as e:
print(f"✗ Error during verification: {e}")
import traceback
traceback.print_exc()
def list_purchase_contracts():
"""List purchase contracts for debugging"""
Purchase = Model.get('purchase.purchase')
print(f"\n{'='*70}")
print("AVAILABLE PURCHASE CONTRACTS (first 20)")
print(f"{'='*70}")
contracts = Purchase.find([], order=[('id', 'DESC')], limit=20)
if contracts:
print(f"{'ID':<8} {'Reference':<20} {'Party':<30} {'State':<12}")
print("-" * 70)
for contract in contracts:
contract_id = contract.id
reference = contract.reference[:19] if contract.reference else 'N/A'
party = contract.party.rec_name[:29] if contract.party else 'N/A'
state = contract.state if contract.state else 'N/A'
print(f"{contract_id:<8} {reference:<20} {party:<30} {state:<12}")
# Show number of lines
if hasattr(contract, 'lines') and contract.lines:
print(f" Lines: {len(contract.lines)}")
else:
print("No purchase contracts found")
print(f"{'='*70}\n")
def main():
print("="*70)
print("TRYTON PURCHASE CONTRACT FEE IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List purchase contracts for debugging
# Uncomment the following line to see available contracts
# list_purchase_contracts()
# Import purchase contract fees
import_purchase_contract_fees(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

879
Reference Data/python_project/scripts/import_sale_contracts_with_mapping.py Normal file
View File

@@ -0,0 +1,879 @@
# Add parent directory to Python path so we can import helpers
import sys
from pathlib import Path
parent_dir = Path(__file__).parent.parent
sys.path.insert(0, str(parent_dir))
import psycopg2
import csv
from decimal import Decimal
from proteus import Model
from helpers.config import (
SALE_CONTRACTS_CSV,
connect_to_tryton,
get_db_connection,
DB_CONFIG # Add this to your config
)
from helpers.tryton_helpers import (
parse_decimal,
parse_date,
ensure_party_is_client,
find_party_by_name,
find_uom_by_code,
find_currency_by_code,
find_warehouse,
find_location,
find_payment_term_by_name,
find_product_by_code,
find_incoterm_by_code,
find_weight_basis_by_name,
get_party_invoice_address,
find_sale_contract_by_number,
find_or_create_analytic_dimension_value,
link_analytic_dimensions_to_sale
)
# Import migration mapping helper
from helpers.migration_mapping import MigrationMapper
# CSV Configuration
CSV_FILE_PATH = SALE_CONTRACTS_CSV
# Default values
DEFAULT_STATE = 'draft'
DEFAULT_INVOICE_METHOD = 'manual'
DEFAULT_INVOICE_STATE = 'none'
DEFAULT_SHIPMENT_STATE = 'none'
# Import options
AUTO_ENABLE_CLIENT = True # Set to False to skip auto-enabling client flag
SKIP_NON_CLIENTS = False # Set to True to skip parties that aren't clients
def update_sale_custom_fields(sale_id, custom_data):
"""Update custom fields in sale using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# First, check what columns exist in sale_sale table
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'sale_sale'
AND column_name IN ('number')
ORDER BY column_name
""")
existing_columns = {row[0]: row[1] for row in cursor.fetchall()}
print(f" Available custom columns in sale_sale:")
for col_name, col_type in existing_columns.items():
print(f" - {col_name} ({col_type})")
# Build UPDATE query for custom fields
set_clauses = []
values = []
if 'number' in existing_columns and custom_data.get('number'):
set_clauses.append("number = %s")
values.append(custom_data['number'])
print(f" Adding number = {custom_data['number']}")
if set_clauses:
values.append(sale_id)
update_query = f"""
UPDATE sale_sale
SET {', '.join(set_clauses)}
WHERE id = %s
"""
print(f" Executing UPDATE with fields: {', '.join([c.split('=')[0].strip() for c in set_clauses])}")
cursor.execute(update_query, values)
rows_affected = cursor.rowcount
conn.commit()
if rows_affected > 0:
print(f" ✓ {rows_affected} row(s) updated successfully")
else:
print(f" ⚠ No rows updated (sale_id={sale_id} not found?)")
else:
print(f" No custom fields to update (either no data provided or columns not found)")
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def update_line_custom_fields(line_id, custom_data):
"""Update custom fields in sale line using direct SQL"""
if not custom_data:
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update line custom fields - database connection failed")
return False
try:
cursor = conn.cursor()
# Build UPDATE query for custom fields
set_clauses = []
values = []
if custom_data.get('from_del'):
set_clauses.append("from_del = %s")
values.append(custom_data['from_del'])
if custom_data.get('to_del'):
set_clauses.append("to_del = %s")
values.append(custom_data['to_del'])
if set_clauses:
values.append(line_id)
update_query = f"""
UPDATE sale_line
SET {', '.join(set_clauses)}
WHERE id = %s
"""
cursor.execute(update_query, values)
conn.commit()
cursor.close()
conn.close()
return True
except Exception as e:
print(f" ⚠ Error updating line custom fields: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def create_pricing_estimated(line_id, pricing_data):
"""Create pricing_estimated record using direct SQL"""
if not pricing_data or not pricing_data.get('trigger'):
return True
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not create pricing estimate - database connection failed")
return False
try:
cursor = conn.cursor()
# Check if pricing_estimated table exists and what its structure is
cursor.execute("""
SELECT column_name
FROM information_schema.columns
WHERE table_name = 'pricing_estimated'
ORDER BY ordinal_position
""")
columns = [row[0] for row in cursor.fetchall()]
if not columns:
print(f" Info: pricing_estimated table does not exist, skipping pricing estimate")
cursor.close()
conn.close()
return True
# Insert into pricing_estimated table
insert_query = """
INSERT INTO pricing_estimated (sale_line, trigger, estimated_date, create_date, write_date, create_uid, write_uid)
VALUES (%s, %s, %s, NOW(), NOW(), 1, 1)
"""
cursor.execute(insert_query, (
line_id,
pricing_data['trigger'],
pricing_data.get('estimated_date')
))
conn.commit()
cursor.close()
conn.close()
print(f" ✓ Pricing estimate created successfully")
return True
except psycopg2.errors.ForeignKeyViolation as e:
# This is expected if pricing_estimated references purchase_line only
print(f" Info: Pricing estimate skipped (table references sale_line only, not purchase_line)")
if conn:
conn.rollback()
conn.close()
return True # Return True to continue processing
except Exception as e:
print(f" ⚠ Error creating pricing estimate: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def import_sales(csv_file):
"""Import sales from CSV file with migration mapping tracking"""
Sale = Model.get('sale.sale')
SaleLine = Model.get('sale.line')
print(f"{'='*70}")
print(f"IMPORTING SALES FROM CSV")
print(f"{'='*70}\n")
print(f"Reading from: {csv_file}\n")
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Get company (assuming single company or default)
Company = Model.get('company.company')
companies = Company.find([])
if not companies:
print("✗ Error: No company found in the system")
return
company = companies[0]
print(f"Using company: {company.rec_name}\n")
# Collect all mappings for batch insert at the end
sale_mappings = []
line_mappings = []
try:
# Initialize migration mapper
with MigrationMapper(DB_CONFIG) as mapper:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
row_num = 0
for row in reader:
row_num += 1
try:
# Extract fields from CSV
source_sale_id = row.get('source_id', '').strip() # Source system ID
number = row.get('number', '').strip()
reference = row.get('reference', '').strip()
our_reference = row.get('our_reference', '').strip()
if not number:
print(f"Row {row_num}: Skipping - no number\n")
continue
print(f"{'='*70}")
print(f"Row {row_num}: Processing sale {number}")
print(f"{'='*70}")
# CHECK IF ALREADY IMPORTED using migration mapper
if source_sale_id:
existing_tryton_id = mapper.get_tryton_id('sale_contract', source_sale_id)
if existing_tryton_id:
print(f" ⏭ Sale already imported (Source ID: {source_sale_id} -> Tryton ID: {existing_tryton_id})")
skipped_count += 1
print()
continue
# Alternative: Check by number using existing helper
existing_sale = find_sale_contract_by_number(number)
if existing_sale:
print(f" ⏭ Sale {number} already exists (ID: {existing_sale.id})")
# Save mapping even if it already exists (for reconciliation)
if source_sale_id:
sale_mappings.append({
'object_type': 'sale_contract',
'source_id': source_sale_id,
'tryton_model': 'sale.sale',
'tryton_id': existing_sale.id,
'recon_key': number
})
skipped_count += 1
print()
continue
# Parse other fields
sale_date = parse_date(row.get('sale_date'))
party_name = row.get('party_name', '').strip()
# Find related records
party = find_party_by_name(party_name)
if not party:
raise ValueError(f"Party not found: {party_name}")
# Check party is client
if not ensure_party_is_client(party, auto_enable=AUTO_ENABLE_CLIENT):
if SKIP_NON_CLIENTS:
print(f" ⏭ Skipping - party {party_name} is not a client\n")
skipped_count += 1
continue
else:
raise ValueError(f"Party {party_name} is not a client")
# Reload party after category addition to get fresh data
Party = Model.get('party.party')
party = Party(party.id)
# Find invoice address
invoice_address = get_party_invoice_address(party)
if not invoice_address:
raise ValueError(f"No invoice address found for party {party_name}")
# Parse additional fields
currency = find_currency_by_code(row.get('currency', 'USD'))
warehouse = find_warehouse(row.get('warehouse'))
payment_term = find_payment_term_by_name(row.get('payment_term'))
weight_basis_abbr = find_weight_basis_by_name(row.get('weight_basis'))
tol_min_pct = parse_decimal(row.get('tol_min_pct', ''), 'tol_min_pct')
tol_max_pct = parse_decimal(row.get('tol_max_pct', ''), 'tol_max_pct')
tol_min_qty = parse_decimal(row.get('tol_min_qty', ''), 'tol_min_qty')
tol_max_qty = parse_decimal(row.get('tol_max_qty', ''), 'tol_max_qty')
from_location_name = row.get('from_location_name', '').strip()
from_location = find_location(from_location_name)
to_location_name = row.get('to_location_name', '').strip()
to_location = find_location(to_location_name)
incoterm_code = row.get('incoterm_name', '').strip()
incoterm = find_incoterm_by_code(incoterm_code, 2025)
description = row.get('description', '').strip()
comment = row.get('comment', '').strip()
trader_name = row.get('trader', '').strip()
operator_name = row.get('operator', '').strip()
demurrage = parse_decimal(row.get('demurrage', ''), 'demurrage')
laytime_hours = parse_decimal(row.get('laytime_hours', ''), 'laytime_hours')
nor_extra_hours = parse_decimal(row.get('nor_extra_hours', ''), 'nor_extra_hours')
pumping_rate = parse_decimal(row.get('pumping_rate', ''), 'pumping_rate')
# CREATE SALE
print(f" Creating sale...")
sale = Sale()
sale.company = company
sale.reference = reference
sale.our_reference = our_reference
sale.party = party
sale.invoice_address = invoice_address
sale.shipment_address = invoice_address # Default to invoice address
sale.sale_date = sale_date
sale.currency = currency
if warehouse:
sale.warehouse = warehouse
sale.payment_term = payment_term
sale.wb = weight_basis_abbr
sale.tol_min = tol_min_pct
sale.tol_max = tol_max_pct
sale.tol_min_qt = tol_min_qty
sale.tol_max_qt = tol_max_qty
sale.incoterm = incoterm
sale.from_location = from_location
sale.to_location = to_location
sale.description = description
sale.comment = comment
sale.state = DEFAULT_STATE
sale.invoice_method = DEFAULT_INVOICE_METHOD
# Retrieve trader
trader = find_party_by_name(trader_name)
if not party:
raise ValueError(f"Trader not found: {trader_name}")
sale.trader = trader
# Retrieve operator
operator = find_party_by_name(operator_name)
if not party:
raise ValueError(f"Operator not found: {operator_name}")
sale.operator = operator
# Save the sale
sale.save()
print(f" ✓ Sale created (ID: {sale.id})")
# Update custom fields (like 'number')
custom_fields = {'number': number}
update_sale_custom_fields(sale.id, custom_fields)
# SAVE MIGRATION MAPPING for sale
if source_sale_id:
sale_mappings.append({
'object_type': 'sale_contract',
'source_id': source_sale_id,
'tryton_model': 'sale.sale',
'tryton_id': sale.id,
'recon_key': number
})
print(f" 📝 Mapping queued: Source {source_sale_id} -> Tryton {sale.id}")
# Process sale lines
line_type = row.get('line_type', 'line').strip()
source_line_id = row.get('source_line_id', '').strip()
if line_type == 'line':
# Regular product line
product_code = row.get('line_product_code', '').strip()
quantity = parse_decimal(row.get('line_quantity', ''), 'quantity')
unit_price = parse_decimal(row.get('line_price', ''), 'unit_price')
period_at = row.get('period_at', '').strip().lower()
concentration = parse_decimal(row.get('concentration', ''), 'concentration')
product = find_product_by_code(product_code)
if not product:
raise ValueError(f"Product not found: {product_code}")
unit = find_uom_by_code(row.get('line_unit_code', ''))
# Parse shipping dates
from_del = parse_date(row.get('line_from_del', ''))
to_del = parse_date(row.get('line_to_del', ''))
# Create line
line = SaleLine()
line.sale = sale
line.type = 'line'
sequence = 1 # Default sequence, can be enhanced to handle multiple lines
line.sequence = sequence
line.product = product
line.quantity = quantity
line.unit = unit if unit else product.sale_uom
line.unit_price = unit_price
line.from_del = from_del
line.to_del = to_del
line.period_at = period_at
line.concentration = concentration
# Optional fields
description = row.get('description', '').strip()
if description:
line.description = description
line.save()
# # Update line custom fields
# line_custom = {}
# from_del = row.get('from_del', '').strip()
# to_del = row.get('to_del', '').strip()
# if from_del:
# line_custom['from_del'] = from_del
# if to_del:
# line_custom['to_del'] = to_del
# if line_custom:
# update_line_custom_fields(line.id, line_custom)
# Create pricing estimate if applicable
pricing_trigger = row.get('pricing_trigger', '').strip()
pricing_estimated_date = parse_date(row.get('pricing_estimated_date', ''))
if pricing_trigger:
pricing_data = {
'trigger': pricing_trigger,
'estimated_date': pricing_estimated_date
}
create_pricing_estimated(line.id, pricing_data)
# SAVE MIGRATION MAPPING for line
if source_line_id:
line_mappings.append({
'object_type': 'sale_line',
'source_id': source_line_id,
'tryton_model': 'sale.line',
'tryton_id': line.id,
'recon_key': f"{number}-Line {sequence}-{product_code}"
})
print(f" ✓ Added line (ID: {line.id})")
print(f" Product: {product.rec_name}")
print(f" Quantity: {quantity}")
else:
# Comment, subtitle, or other line types
line = SaleLine()
line.sale = sale
line.type = line_type
line.description = row.get('description', '').strip()
line.save()
print(f" ✓ Added {line_type} line (ID: {line.id})")
# **NEW: Handle analytic dimensions**
book_name = row.get('book', '').strip()
strategy_name = row.get('strategy', '').strip()
print(f"\nProcessing analytic dimensions...")
# Collect all dimension values in one dictionary
dimension_values = {}
# Handle Book dimension
if book_name:
book_dimension_value = find_or_create_analytic_dimension_value('Book', book_name)
if book_dimension_value:
dimension_values['Book'] = book_dimension_value
else:
print(f" ⚠ Could not find/create Book dimension value: {book_name}")
# Handle Strategy dimension
if strategy_name:
strategy_dimension_value = find_or_create_analytic_dimension_value('Strategy', strategy_name)
if strategy_dimension_value:
dimension_values['Strategy'] = strategy_dimension_value
else:
print(f" ⚠ Could not find/create Strategy dimension value: {strategy_name}")
# Link ALL dimensions to purchase in ONE call
if dimension_values:
link_analytic_dimensions_to_sale(sale, dimension_values)
else:
print(f" No analytic dimensions to link")
imported_count += 1
print(f"✓ Successfully imported sale {number}\n")
except Exception as e:
error_msg = f"Row {row_num} - {number if 'number' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# BATCH SAVE ALL MAPPINGS at the end
print(f"\n{'='*70}")
print("SAVING MIGRATION MAPPINGS")
print(f"{'='*70}\n")
if sale_mappings:
print(f"Saving {len(sale_mappings)} sale mappings...")
mapper.save_mappings_batch(sale_mappings)
print(f"✓ Sale mappings saved\n")
if line_mappings:
print(f"Saving {len(line_mappings)} line mappings...")
mapper.save_mappings_batch(line_mappings)
print(f"✓ Line mappings saved\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} sales")
print(f"Skipped (already exist): {skipped_count} sales")
print(f"Errors: {error_count}")
print(f"Migration mappings saved: {len(sale_mappings)} sales, {len(line_mappings)} lines")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported sales and their migration mappings"""
Sale = Model.get('sale.sale')
print(f"\n{'='*70}")
print("VERIFICATION - Sales and Migration Mappings")
print(f"{'='*70}\n")
# Find all sales (or limit to recently created ones)
sales = Sale.find([], order=[('id', 'DESC')])
if sales:
print(f"Found {len(sales)} sales (showing last 10):\n")
print(f"{'ID':<8} {'Number':<15} {'Reference':<15} {'Party':<25} {'State':<12} {'Source ID':<15}")
print("-" * 100)
# Initialize mapper to look up source IDs
with MigrationMapper(DB_CONFIG) as mapper:
for sale in sales[:10]: # Show last 10 created
sale_id = sale.id
# Get number from database since it's a custom field
conn = get_db_connection()
number = 'N/A'
if conn:
try:
cursor = conn.cursor()
cursor.execute("SELECT number FROM sale_sale WHERE id = %s", (sale_id,))
result = cursor.fetchone()
if result and result[0]:
number = str(result[0])[:14]
cursor.close()
conn.close()
except:
if conn:
conn.close()
# Look up source ID from migration mapping
source_id = 'N/A'
try:
cursor = mapper.connection.cursor()
cursor.execute("""
SELECT source_id[1]
FROM public.os_migration_mapping
WHERE tryton_id = %s
AND 'sale_contract' = ANY(object_type)
ORDER BY write_date DESC
LIMIT 1
""", (sale_id,))
result = cursor.fetchone()
if result and result[0]:
source_id = str(result[0])[:14]
cursor.close()
except:
pass
reference = sale.reference[:14] if sale.reference else 'N/A'
party = sale.party.rec_name[:24] if sale.party else 'N/A'
state = sale.state if sale.state else 'N/A'
print(f"{sale_id:<8} {number:<15} {reference:<15} {party:<25} {state:<12} {source_id:<15}")
# Show lines
if sale.lines:
print(f" Lines: {len(sale.lines)}")
for line in sale.lines[:3]: # Show first 3 lines
if line.type == 'line' and line.product:
print(f" - {line.product.rec_name[:40]} | Qty: {line.quantity} | Price: {line.unit_price}")
else:
print(f" - [{line.type}] {(line.description or '')[:40]}")
else:
print("No sales found")
print()
def check_mapping_stats():
"""Display statistics about migration mappings"""
print(f"\n{'='*70}")
print("MIGRATION MAPPING STATISTICS")
print(f"{'='*70}\n")
try:
with MigrationMapper(DB_CONFIG) as mapper:
cursor = mapper.connection.cursor()
# Count mappings by object type
cursor.execute("""
SELECT
object_type[1] as obj_type,
COUNT(*) as count,
MIN(write_date) as first_import,
MAX(write_date) as last_import
FROM public.os_migration_mapping
GROUP BY object_type[1]
ORDER BY count DESC
""")
results = cursor.fetchall()
if results:
print(f"{'Object Type':<25} {'Count':<10} {'First Import':<15} {'Last Import':<15}")
print("-" * 70)
for row in results:
obj_type = row[0] or 'N/A'
count = row[1]
first = row[2].strftime('%Y-%m-%d') if row[2] else 'N/A'
last = row[3].strftime('%Y-%m-%d') if row[3] else 'N/A'
print(f"{obj_type:<25} {count:<10} {first:<15} {last:<15}")
# Total count
cursor.execute("SELECT COUNT(*) FROM public.os_migration_mapping")
total = cursor.fetchone()[0]
print(f"\nTotal mappings: {total}")
else:
print("No migration mappings found")
cursor.close()
except Exception as e:
print(f"Error retrieving mapping statistics: {e}")
import traceback
traceback.print_exc()
print()
def prepare_parties_as_clients(csv_file):
"""Pre-process: Add CLIENT category to all parties in CSV using Proteus"""
Party = Model.get('party.party')
Category = Model.get('party.category')
print(f"{'='*70}")
print(f"PREPARING PARTIES AS CLIENTS (via Categories)")
print(f"{'='*70}\n")
# Find CLIENT category
client_categories = Category.find([('name', '=', 'CLIENT')])
if not client_categories:
# Try case-insensitive
all_categories = Category.find([])
for cat in all_categories:
if cat.name.upper() == 'CLIENT':
client_categories = [cat]
break
if not client_categories:
print(f"✗ CLIENT category not found in the system!")
print(f"Please create a party category named 'CLIENT' first.\n")
return False
client_category = client_categories[0]
print(f"Found CLIENT category (ID: {client_category.id})\n")
party_names = set()
try:
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
for row in reader:
party_name = row.get('party_name', '').strip()
if party_name:
party_names.add(party_name)
print(f"Found {len(party_names)} unique parties in CSV\n")
updated_count = 0
already_client_count = 0
not_found_count = 0
for party_name in party_names:
print(f"Processing party: {party_name}")
# Find party
parties = Party.find([('name', '=', party_name)])
if not parties:
parties = Party.find([('code', '=', party_name)])
if not parties:
print(f" ✗ Not found\n")
not_found_count += 1
continue
party = parties[0]
# Check if already has CLIENT category
has_client = False
if party.categories:
for cat in party.categories:
if cat.name.upper() == 'CLIENT':
has_client = True
break
if has_client:
print(f" ✓ Already has CLIENT category\n")
already_client_count += 1
continue
# Add CLIENT category using Proteus
try:
# Reload party and category in same context
party_to_update = Party(party.id)
client_cat = Category(client_category.id)
party_to_update.categories.append(client_cat)
party_to_update.save()
print(f" ✓ CLIENT category added\n")
updated_count += 1
except Exception as e:
print(f" ✗ Failed: {e}\n")
print(f"{'='*70}")
print(f"PREPARATION SUMMARY")
print(f"{'='*70}")
print(f"Already have CLIENT category: {already_client_count}")
print(f"CLIENT category added: {updated_count}")
print(f"Not found: {not_found_count}")
print(f"{'='*70}\n")
return True
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}\n")
return False
except Exception as e:
print(f"✗ Error: {e}\n")
import traceback
traceback.print_exc()
return False
def main():
print("="*70)
print("TRYTON SALE IMPORT SCRIPT WITH MIGRATION MAPPING")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: Prepare all parties as clients first
# Uncomment the following line to mark all parties in CSV as clients before importing
prepare_parties_as_clients(CSV_FILE_PATH)
# Import sales with migration mapping
import_sales(CSV_FILE_PATH)
# Verify import
verify_import()
# Show mapping statistics
check_mapping_stats()
return 0
if __name__ == '__main__':
exit(main())

356
Reference Data/python_project/scripts/import_services v2.py Normal file
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@@ -0,0 +1,356 @@
import csv
from proteus import config, Model
from decimal import Decimal
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'SERVICES' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
# Connect using XML-RPC with credentials in URL
#connection_url = f'{SERVER_URL}/{DATABASE_NAME}/'
#print(f'{USERNAME}:{PASSWORD}@{connection_url}')
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
#config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search by getting all and comparing
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, try to get default 'Unit'
print(f" ⚠ Warning: UOM '{uom_name}' not found, using '{DEFAULT_UOM}'")
default_uoms = Uom.find([('name', '=', DEFAULT_UOM)])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, categories, uom):
"""Create a new service product using proteus"""
Template = Model.get('product.template')
# Create template
template = Template()
template.name = row['name']
template.code = row['code']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price_method = 'fixed' # Services use fixed cost price
template.default_uom = uom
# Link to categories (Many2Many relationship)
# Use append() instead of direct assignment
if isinstance(categories, list):
template.categories.extend(categories) # Use extend for lists
else:
template.categories.append(categories) # Use append for single category
template.salable = False # Services are not salable products by default
template.purchasable = True # Services are purchasable
if row.get('description'):
template.description = row['description']
# Save the template first
template.save()
# Now update the product that was auto-created
# When a template is created, Tryton automatically creates a default product
if template.products:
product = template.products[0]
#product.code = row['code']
product.suffix_code = row['code'] # Use suffix_code to set product code
# Set cost price on the product
product.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
product.save()
return product
else:
raise ValueError("No product was created automatically with template")
def import_services(csv_file):
"""Import services from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip() or '0.00'
cost_price = row.get('cost_price', '0.00').strip() or '0.00'
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...\n")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product")
print(f" Product ID: {product.id}, Template ID: {product.template.id}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<30} {'Categories':<25} {'Sale Price':<12}")
print("-" * 85)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:29] if product.template.name else 'N/A'
# Get categories (Many2Many relationship)
if product.template.categories:
categories = ', '.join([cat.name for cat in product.template.categories])
categories = categories[:24]
else:
categories = 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<30} {categories:<25} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
symbol = f"({uom.symbol})" if hasattr(uom, 'symbol') and uom.symbol else ""
print(f" - {uom.name} {symbol}")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

310
Reference Data/python_project/scripts/import_services.py Normal file
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import csv
from proteus import config, Model
from decimal import Decimal
# Configuration
DATABASE_NAME = 'tradon'
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Services.csv' # UPDATE THIS PATH!
# Product configuration
PRODUCT_TYPE = 'service' # Service type products
DEFAULT_CATEGORY = 'Services' # Default category name if not found
DEFAULT_UOM = 'Mt' # Default UOM if not found
def connect_to_tryton():
"""Establish connection to Tryton database"""
print(f"Connecting to Tryton database: {DATABASE_NAME}")
try:
#config.set_trytond(DATABASE_NAME)
config.set_xmlrpc('https://admin:dsproject@itsa.open-squared.tech/tradon/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
return False
def get_or_create_category(category_name):
"""Find or create a product category"""
Category = Model.get('product.category')
# Try to find existing category
categories = Category.find([('name', '=', category_name)])
if categories:
print(f" Found existing category: {category_name}")
return categories[0]
else:
# Create new category
new_category = Category()
new_category.name = category_name
new_category.save()
print(f" ✓ Created new category: {category_name}")
return new_category
def get_uom(uom_name):
"""Find Unit of Measure by name"""
Uom = Model.get('product.uom')
# Try exact match first
uoms = Uom.find([('name', '=', uom_name)])
if uoms:
return uoms[0]
# Try case-insensitive search
all_uoms = Uom.find([])
for uom in all_uoms:
if uom.name.lower() == uom_name.lower():
return uom
# If not found, return Unit (default)
print(f" ⚠ Warning: UOM '{uom_name}' not found, using 'Unit'")
default_uoms = Uom.find([('name', '=', 'Unit')])
if default_uoms:
return default_uoms[0]
# If even Unit is not found, get the first available
all_uoms = Uom.find([])
if all_uoms:
print(f" ⚠ Using first available UOM: {all_uoms[0].name}")
return all_uoms[0]
raise ValueError("No UOM found in database!")
def check_product_exists(code):
"""Check if product with given code already exists"""
Product = Model.get('product.product')
products = Product.find([('code', '=', code)])
return products[0] if products else None
def create_service_product(row, category, uom):
"""Create a new service product"""
Product = Model.get('product.product')
Template = Model.get('product.template')
# Create template first
template = Template()
template.name = row['name']
template.type = PRODUCT_TYPE
template.list_price = Decimal(row['sale_price']) if row['sale_price'] else Decimal('0.00')
template.cost_price = Decimal(row['cost_price']) if row['cost_price'] else Decimal('0.00')
template.default_uom = uom
template.category = category
template.salable = True
template.purchasable = False # Services typically not purchased
if row.get('description'):
template.description = row['description']
template.save()
# Create product variant
product = Product()
product.template = template
product.code = row['code']
product.save()
return product
def import_services(csv_file):
"""Import services from CSV file"""
Product = Model.get('product.product')
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
print(f"{'='*70}")
print(f"Importing service products from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values
code = row.get('code', '').strip()
name = row.get('name', '').strip()
category_name = row.get('category', DEFAULT_CATEGORY).strip() or DEFAULT_CATEGORY
uom_name = row.get('uom', DEFAULT_UOM).strip() or DEFAULT_UOM
sale_price = row.get('sale_price', '0.00').strip()
cost_price = row.get('cost_price', '0.00').strip()
description = row.get('description', '').strip()
# Skip empty rows
if not code and not name:
continue
# Validate required fields
if not code or not name:
errors.append(f"Row {row_num}: Missing code or name")
error_count += 1
print(f"✗ Row {row_num}: Missing required fields")
continue
print(f"Processing Row {row_num}: {code} - {name}")
# Check if product already exists
existing_product = check_product_exists(code)
if existing_product:
print(f" ⚠ Product code '{code}' already exists: {existing_product.template.name}")
print(f" Skipping...")
skipped_count += 1
continue
# Get or create category
category = get_or_create_category(category_name)
# Get UOM
uom = get_uom(uom_name)
print(f" Using UOM: {uom.name}")
# Create the product
row_data = {
'code': code,
'name': name,
'sale_price': sale_price,
'cost_price': cost_price,
'description': description
}
product = create_service_product(row_data, category, uom)
print(f" ✓ Created service product: {name}")
print(f" Code: {code}")
print(f" Category: {category.name}")
print(f" Sale Price: {sale_price}")
print(f" Cost Price: {cost_price}")
if description:
print(f" Description: {description[:50]}...")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {code} ({name}): {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} service products")
print(f"Skipped (already exist): {skipped_count} products")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported service products"""
Product = Model.get('product.product')
print(f"\n{'='*70}")
print("VERIFICATION - Service Products")
print(f"{'='*70}\n")
# Find all service type products
products = Product.find([('template.type', '=', 'service')])
if products:
print(f"Found {len(products)} service products:\n")
print(f"{'Code':<12} {'Name':<35} {'Category':<20} {'Sale Price':<12}")
print("-" * 80)
for product in products:
code = product.code or 'N/A'
name = product.template.name[:34] if product.template.name else 'N/A'
category = product.template.category.name if product.template.category else 'N/A'
sale_price = f"{product.template.list_price:.2f}" if product.template.list_price else '0.00'
print(f"{code:<12} {name:<35} {category:<20} {sale_price:<12}")
else:
print("No service products found")
print()
def list_available_uoms():
"""List all available UOMs in the database"""
print(f"\n{'='*70}")
print("AVAILABLE UNITS OF MEASURE")
print(f"{'='*70}\n")
Uom = Model.get('product.uom')
uoms = Uom.find([])
if uoms:
print(f"Found {len(uoms)} UOMs:\n")
for uom in uoms:
print(f" - {uom.name} (Symbol: {uom.symbol if hasattr(uom, 'symbol') else 'N/A'})")
else:
print("No UOMs found")
print()
def list_available_categories():
"""List all available product categories"""
print(f"\n{'='*70}")
print("AVAILABLE PRODUCT CATEGORIES")
print(f"{'='*70}\n")
Category = Model.get('product.category')
categories = Category.find([])
if categories:
print(f"Found {len(categories)} categories:\n")
for cat in categories:
print(f" - {cat.name}")
else:
print("No categories found")
print()
def main():
print("="*70)
print("TRYTON SERVICE PRODUCT IMPORT SCRIPT (using Proteus)")
print("="*70)
print()
# Connect to Tryton
if not connect_to_tryton():
return 1
# Optional: List available UOMs and categories
# Uncomment these if you want to see what's available in your database
# list_available_uoms()
# list_available_categories()
# Import service products
import_services(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

397
Reference Data/python_project/scripts/import_stock_locations_v3.py Normal file
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import csv
import psycopg2
from proteus import config, Model
# CSV Configuration
CSV_FILE_PATH = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Customer_Stock_Locations.csv'
# XML-RPC Configuration
HTTPS = 'https://'
SERVER_URL = 'itsa.open-squared.tech'
DATABASE_NAME = 'tradon'
USERNAME = 'admin'
PASSWORD = 'dsproject'
# PostgreSQL Configuration (for direct database access)
DB_HOST = '72.61.163.139'
DB_PORT = 5433
DB_USER = 'postgres'
DB_PASSWORD = 'dsproject'
# Default values
DEFAULT_TYPE = 'storage' # Default location type if not specified
def connect_to_tryton():
"""Establish connection to Tryton via XML-RPC"""
print(f"Connecting to Tryton server: {SERVER_URL}")
print(f"Database: {DATABASE_NAME}")
print(f"Username: {USERNAME}")
try:
config.set_xmlrpc(f'{HTTPS}{USERNAME}:{PASSWORD}@{SERVER_URL}/{DATABASE_NAME}/')
print("✓ Connected successfully!\n")
return True
except Exception as e:
print(f"✗ Connection failed: {e}")
print("\nTroubleshooting:")
print(" - Verify the server URL is correct and accessible")
print(" - Check that the Tryton server is running")
print(" - Verify username and password are correct")
print(" - Make sure you can access the server in a browser")
return False
def get_db_connection():
"""Get PostgreSQL database connection"""
try:
conn = psycopg2.connect(
host=DB_HOST,
port=DB_PORT,
database=DATABASE_NAME,
user=DB_USER,
password=DB_PASSWORD
)
return conn
except Exception as e:
print(f"✗ Database connection failed: {e}")
return None
def update_location_coordinates(location_id, latitude, longitude):
"""Update location coordinates directly in PostgreSQL"""
conn = get_db_connection()
if not conn:
print(f" ⚠ Could not update coordinates - database connection failed")
return False
try:
cursor = conn.cursor()
# Update lat and lon columns
update_query = """
UPDATE stock_location
SET lat = %s, lon = %s
WHERE id = %s
"""
cursor.execute(update_query, (latitude, longitude, location_id))
rows_affected = cursor.rowcount
conn.commit()
cursor.close()
conn.close()
return rows_affected > 0
except Exception as e:
print(f" ⚠ Error updating coordinates: {e}")
import traceback
traceback.print_exc()
if conn:
conn.rollback()
conn.close()
return False
def check_location_exists_by_name(name):
"""Check if location with given name already exists"""
Location = Model.get('stock.location')
locations = Location.find([('name', '=', name)])
return locations[0] if locations else None
def validate_location_type(loc_type):
"""Validate location type"""
valid_types = [
'supplier', 'customer', 'lost_found', 'warehouse',
'storage', 'production', 'drop', 'rental', 'view'
]
if not loc_type or loc_type.lower() not in valid_types:
print(f" ⚠ Warning: Invalid type '{loc_type}', using default '{DEFAULT_TYPE}'")
return DEFAULT_TYPE
return loc_type.lower()
def parse_coordinate(value, coord_name):
"""Parse and validate coordinate value"""
if not value or value == '':
return None
# Handle 'NULL' or similar string values
if isinstance(value, str) and value.strip().upper() in ['NULL', 'NONE', 'N/A', '']:
return None
try:
coord = float(value)
# Validate latitude range (-90 to 90)
if coord_name == 'latitude':
if coord < -90 or coord > 90:
print(f" ⚠ Warning: Latitude {coord} out of range (-90 to 90)")
return None
# Validate longitude range (-180 to 180)
if coord_name == 'longitude':
if coord < -180 or coord > 180:
print(f" ⚠ Warning: Longitude {coord} out of range (-180 to 180)")
return None
return coord
except (ValueError, TypeError) as e:
print(f" ⚠ Warning: Invalid {coord_name} value '{value}' - {e}")
return None
def create_location(row):
"""Create a new location using proteus"""
Location = Model.get('stock.location')
# Create location
location = Location()
location.name = row['name']
location.type = row['type']
# Save the location first
location.save()
# Get coordinates and save them
latitude = row.get('latitude')
longitude = row.get('longitude')
# Update coordinates directly in database if provided
if latitude is not None or longitude is not None:
success = update_location_coordinates(location.id, latitude, longitude)
if not success:
print(f" ⚠ Location created but coordinates not saved")
return location, latitude, longitude
def import_locations(csv_file):
"""Import locations from CSV file"""
imported_count = 0
skipped_count = 0
error_count = 0
errors = []
# Track names we've already processed in this run
processed_names = set()
print(f"{'='*70}")
print(f"Importing locations from: {csv_file}")
print(f"{'='*70}\n")
try:
# Open with utf-8-sig to handle BOM
with open(csv_file, 'r', encoding='utf-8-sig') as file:
reader = csv.DictReader(file)
# Debug: Show detected columns
print(f"Detected columns: {reader.fieldnames}\n")
for row_num, row in enumerate(reader, start=2):
try:
# Clean up values - get directly from CSV columns
name = row.get('name', '').strip()
loc_type = row.get('type', '').strip() or DEFAULT_TYPE
lat_raw = row.get('lat', '').strip()
lon_raw = row.get('lon', '').strip()
# Skip empty rows
if not name:
continue
print(f"Processing Row {row_num}: {name}")
print(f" CSV Raw values - lat: '{lat_raw}', lon: '{lon_raw}'")
# Check if we've already processed this name in this import run
if name in processed_names:
print(f" ⚠ Duplicate name in CSV: '{name}'")
print(f" Skipping duplicate entry...\n")
skipped_count += 1
continue
# Check if location already exists in database
existing_location = check_location_exists_by_name(name)
if existing_location:
print(f" ⚠ Location '{name}' already exists (ID: {existing_location.id})")
print(f" Type: {existing_location.type}")
print(f" Skipping...\n")
skipped_count += 1
processed_names.add(name)
continue
# Validate location type
loc_type = validate_location_type(loc_type)
# Parse coordinates
latitude = parse_coordinate(lat_raw, 'latitude')
longitude = parse_coordinate(lon_raw, 'longitude')
print(f" Parsed values - lat: {latitude}, lon: {longitude}")
# Create the location with parsed data
location_data = {
'name': name,
'type': loc_type,
'latitude': latitude,
'longitude': longitude
}
location, saved_lat, saved_lon = create_location(location_data)
# Mark this name as processed
processed_names.add(name)
print(f" ✓ Created location")
print(f" Location ID: {location.id}")
print(f" Name: {name}")
print(f" Type: {loc_type}")
if saved_lat is not None:
print(f" Latitude: {saved_lat}")
if saved_lon is not None:
print(f" Longitude: {saved_lon}")
print()
imported_count += 1
except Exception as e:
error_msg = f"Row {row_num} - {name if 'name' in locals() else 'Unknown'}: {str(e)}"
errors.append(error_msg)
error_count += 1
print(f"✗ Error on row {row_num}: {e}\n")
import traceback
traceback.print_exc()
# Summary
print(f"{'='*70}")
print("IMPORT SUMMARY")
print(f"{'='*70}")
print(f"Successfully imported: {imported_count} locations")
print(f"Skipped (already exist or duplicates): {skipped_count} locations")
print(f"Errors: {error_count}")
if errors:
print(f"\nError details:")
for error in errors:
print(f" - {error}")
print(f"\n{'='*70}")
except FileNotFoundError:
print(f"✗ Error: CSV file not found at {csv_file}")
print(f"Please update CSV_FILE_PATH in the script with the correct path.")
except Exception as e:
print(f"✗ Fatal error: {e}")
import traceback
traceback.print_exc()
def verify_import():
"""Verify imported locations with coordinates from database"""
Location = Model.get('stock.location')
print(f"\n{'='*70}")
print("VERIFICATION - Stock Locations")
print(f"{'='*70}\n")
# Get database connection to read coordinates
conn = get_db_connection()
if not conn:
print("Cannot verify - database connection failed")
return
# Find all locations (or limit to recently created ones)
locations = Location.find([], order=[('id', 'DESC')])
if locations:
print(f"Found {len(locations)} locations (showing last 20):\n")
print(f"{'ID':<8} {'Name':<35} {'Type':<12} {'Lat':<12} {'Lon':<12}")
print("-" * 85)
for location in locations[:20]: # Show last 20 created
loc_id = location.id
name = location.name[:34] if location.name else 'N/A'
loc_type = location.type if location.type else 'N/A'
# Get coordinates from database
lat = 'N/A'
lon = 'N/A'
try:
cursor = conn.cursor()
cursor.execute(
"SELECT lat, lon FROM stock_location WHERE id = %s",
(loc_id,)
)
result = cursor.fetchone()
if result:
lat = f"{result[0]:.6f}" if result[0] is not None else 'N/A'
lon = f"{result[1]:.6f}" if result[1] is not None else 'N/A'
cursor.close()
except Exception as e:
print(f"Error reading coordinates for location {loc_id}: {e}")
print(f"{loc_id:<8} {name:<35} {loc_type:<12} {lat:<12} {lon:<12}")
conn.close()
else:
print("No locations found")
print()
def main():
print("="*70)
print("TRYTON STOCK LOCATION IMPORT SCRIPT")
print("Using Proteus with XML-RPC Connection")
print("Using Direct PostgreSQL for lat/lon coordinates")
print("="*70)
print()
# Connect to Tryton using XML-RPC
if not connect_to_tryton():
return 1
# Test database connection
print("Testing PostgreSQL connection...")
conn = get_db_connection()
if conn:
print("✓ PostgreSQL connection successful")
# Test if lat/lon columns exist
try:
cursor = conn.cursor()
cursor.execute("""
SELECT column_name, data_type
FROM information_schema.columns
WHERE table_name = 'stock_location'
AND column_name IN ('lat', 'lon')
""")
columns = cursor.fetchall()
cursor.close()
if columns:
print("✓ Found lat/lon columns in stock_location table:")
for col in columns:
print(f" - {col[0]}: {col[1]}")
else:
print("✗ WARNING: lat/lon columns NOT found in stock_location table!")
print(" Coordinates will not be saved!")
except Exception as e:
print(f" Could not verify columns: {e}")
conn.close()
print()
else:
print("✗ PostgreSQL connection failed")
print("Coordinates will not be saved!\n")
return 1
# Import locations
import_locations(CSV_FILE_PATH)
# Verify import
verify_import()
return 0
if __name__ == '__main__':
exit(main())

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Reference Data/python_project/scripts/import_vessels.py Normal file
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import csv
import psycopg2
from datetime import datetime
# Database connection parameters
DB_CONFIG = {
'host': '72.61.163.139',
'port': 5433,
'database': 'tradon',
'user': 'postgres',
'password': 'dsproject'
}
# CSV file path
CSV_FILE = r'C:\Users\SylvainDUVERNAY\Open Squared\Production - Documents\TRADON Implementation\ITSA\Reference Data\Loaders\Vessels.csv'
def import_vessels():
"""Import vessel data from CSV into trade_vessel table"""
print("=" * 60)
print("VESSEL IMPORT PROCESS STARTED")
print("=" * 60)
# Initialize connection and cursor objects
conn = None
cursor = None
try:
# Connect to PostgreSQL database
print(f"\n[1/4] Connecting to database...")
print(f" Host: {DB_CONFIG['host']}:{DB_CONFIG['port']}")
print(f" Database: {DB_CONFIG['database']}")
conn = psycopg2.connect(**DB_CONFIG)
cursor = conn.cursor()
print(" ✓ Database connection established")
# Read CSV file with UTF-8-BOM encoding to handle Excel-generated CSVs
print(f"\n[2/4] Reading CSV file...")
print(f" File: {CSV_FILE}")
with open(CSV_FILE, 'r', encoding='utf-8-sig') as file:
csv_reader = csv.DictReader(file)
# Initialize counters for tracking import results
insert_count = 0
skip_count = 0
print(" ✓ CSV file opened successfully")
print(f"\n[3/4] Processing vessel records...")
print("-" * 60)
# Process each row from CSV file
for row_num, row in enumerate(csv_reader, start=1):
# Extract and clean vessel data from CSV row
vessel_name = row['vessel_name'].strip()
# Convert empty strings to None for vessel_year
vessel_year = row['vessel_year'].strip() if row['vessel_year'].strip() else None
# Convert empty strings and 'NULL' text to None for vessel_imo
vessel_imo = row['vessel_imo'].strip() if row['vessel_imo'].strip() and row['vessel_imo'].upper() != 'NULL' else None
print(f"\nRow {row_num}: Processing '{vessel_name}'")
print(f" Year: {vessel_year if vessel_year else 'N/A'}")
print(f" IMO: {vessel_imo if vessel_imo else 'N/A'}")
# Check if vessel already exists in database to avoid duplicates
cursor.execute("""
SELECT id FROM trade_vessel
WHERE vessel_name = %s AND vessel_imo = %s
""", (vessel_name, vessel_imo))
existing = cursor.fetchone()
# Skip insertion if vessel already exists
if existing:
print(f" ⚠ SKIPPED - Duplicate found (ID: {existing[0]})")
skip_count += 1
continue
# Insert new vessel record into trade_vessel table
cursor.execute("""
INSERT INTO trade_vessel
(vessel_name, vessel_year, vessel_imo, active, create_date, create_uid, write_date, write_uid)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
RETURNING id
""", (
vessel_name, # Vessel name from CSV
vessel_year, # Year vessel was built
vessel_imo, # IMO number (international maritime identifier)
True, # Set active flag to True
datetime.now(), # Record creation timestamp
1, # User ID who created the record
datetime.now(), # Record last modification timestamp
1 # User ID who last modified the record
))
# Get the ID of the newly inserted record
new_id = cursor.fetchone()[0]
# Increment insert counter and log success
insert_count += 1
print(f" ✓ INSERTED successfully (New ID: {new_id})")
print("-" * 60)
# Commit all inserts to database
print(f"\n[4/4] Committing transaction to database...")
conn.commit()
print(" ✓ Transaction committed successfully")
# Display import summary statistics
print("\n" + "=" * 60)
print("IMPORT SUMMARY")
print("=" * 60)
print(f"✓ Records inserted: {insert_count}")
print(f"⚠ Records skipped: {skip_count}")
print(f" Total processed: {insert_count + skip_count}")
print("=" * 60)
except psycopg2.Error as e:
# Rollback transaction if database error occurs
print("\n" + "!" * 60)
print("DATABASE ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
except FileNotFoundError:
# Handle case where CSV file doesn't exist
print("\n" + "!" * 60)
print("FILE NOT FOUND ERROR")
print("!" * 60)
print(f"CSV file not found: {CSV_FILE}")
print("Please check the file path and try again.")
print("!" * 60)
except Exception as e:
# Catch any other unexpected errors and rollback
print("\n" + "!" * 60)
print("UNEXPECTED ERROR")
print("!" * 60)
if conn:
conn.rollback()
print("✓ Transaction rolled back")
print(f"Error details: {e}")
print("!" * 60)
finally:
# Clean up database resources
print(f"\n[CLEANUP] Closing database connection...")
if cursor:
cursor.close()
print(" ✓ Cursor closed")
if conn:
conn.close()
print(" ✓ Connection closed")
print("\n" + "=" * 60)
print("VESSEL IMPORT PROCESS COMPLETED")
print("=" * 60 + "\n")
# Execute import when script is run directly
if __name__ == "__main__":
import_vessels()