Document rules and enforce price value uniqueness

This commit is contained in:
AzureAD\SylvainDUVERNAY
2026-05-07 15:02:15 +02:00
parent 8fb6d681a0
commit eaae2e5b40
11 changed files with 647 additions and 153 deletions

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@@ -3,6 +3,9 @@
this repository contains the full copyright notices and license terms. -->
<tryton>
<data grouped="1">
<record model="ir.message" id="msg_price_value_unique">
<field name="text">Only one price value is allowed for each price index and price date.</field>
</record>
<record model="ir.message" id="msg_party_code_unique">
<field name="text">The code on party must be unique.</field>
</record>

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@@ -9,7 +9,7 @@ from trytond.i18n import gettext
from trytond.model import (
DeactivableMixin, Index, ModelSQL, ModelView, MultiValueMixin, Unique,
ValueMixin, convert_from, fields, sequence_ordered)
from trytond.model.exceptions import AccessError
from trytond.model.exceptions import AccessError, ValidationError
from trytond.pool import Pool
from trytond.pyson import Bool, Eval
from trytond.tools import is_full_text, lstrip_wildcard
@@ -38,12 +38,34 @@ class PriceValue(
price_value = fields.Float("Price value")
open_price = fields.Float("Open price")
low_price = fields.Float("Low price")
high_price = fields.Float("High price")
def get_price_index(self, name):
if self.price:
return self.price.price_index
return None
high_price = fields.Float("High price")
@classmethod
def validate(cls, price_values):
super().validate(price_values)
cls.check_unique_price_date(price_values)
@classmethod
def check_unique_price_date(cls, price_values):
domains = []
for price_value in price_values:
if not price_value.price or not price_value.price_date:
continue
domain = [
('price', '=', price_value.price.id),
('price_date', '=', price_value.price_date),
]
if price_value.id:
domain.append(('id', '!=', price_value.id))
domains.append(['AND'] + domain)
if domains and cls.search(['OR'] + domains, limit=1):
raise ValidationError(
gettext('price.msg_price_value_unique'))
def get_price_index(self, name):
if self.price:
return self.price.price_index
return None
class PriceValueReport(
ModelSQL, ModelView):

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@@ -0,0 +1,79 @@
# Backlog - Market Price Import
Scope: code changes related only to `BR-PT-004 - Market Price Import`.
## PT-BL-001 - Enforce uniqueness at model level
- Status: to be tested
- Priority: high
- Source: [rules/market-price-import.md](../rules/market-price-import.md)
- Requirement: enforce uniqueness of `(price, price_date)` at model level without adding a database constraint yet.
- Work done:
- added model-level validation on `price.price_value`
- added Tryton message `price.msg_price_value_unique`
- added targeted tests for duplicate create and duplicate write validation
- Validation status:
- `git diff --check` passed
- automated Python tests still need to be run in a working Tryton Python environment
- Expected code impact:
- `modules/purchase_trade/pricing.py`
- possibly `modules/price/price_value.py` if the validation belongs on the target model
- Expected tests:
- importing a row for an existing `(price, price_date)` skips or updates according to `Overwrite existing price`
- creating/editing duplicate `price.price_value` records at model level is rejected if validation is implemented on `price.price_value`
## PT-BL-002 - Use locale-aware slash date parsing
- Status: open
- Priority: medium
- Source: [rules/market-price-import.md](../rules/market-price-import.md)
- Requirement: prefer the user's/default locale date format for ambiguous slash dates, then fall back to the current parsing order only if no locale preference is available.
- Current behavior: `DD/MM/YYYY` is tried before `MM/DD/YYYY`.
- Expected code impact:
- `modules/purchase_trade/pricing.py`
- Expected tests:
- slash dates follow the configured/default locale when available
- slash dates keep a deterministic fallback when locale is unavailable
- existing accepted formats still work
## PT-BL-003 - Reject missing price_value
- Status: open
- Priority: high
- Source: [rules/market-price-import.md](../rules/market-price-import.md)
- Requirement: `price_value` is mandatory for imported rows. Missing `price_value` must be reported as a row error.
- Current behavior: empty `price_value` is imported as an empty value.
- Expected code impact:
- `modules/purchase_trade/pricing.py`
- Expected tests:
- missing `price_value` is reported in `errors`
- missing `high_price`, `low_price`, and `open_price` remain allowed
- valid `price_value` still imports and updates correctly
## PT-BL-004 - Detect duplicate rows inside the same Excel file
- Status: open
- Priority: high
- Source: [rules/market-price-import.md](../rules/market-price-import.md)
- Requirement: duplicate rows for the same `(price_index, price_date)` inside the same Excel file must be reported as row errors. The duplicate row must not import or update data.
- Expected code impact:
- `modules/purchase_trade/pricing.py`
- Expected tests:
- duplicate `(price_index, price_date)` rows in the same import produce row errors
- first occurrence behavior remains unchanged
- duplicate rows do not overwrite previous imported or updated values
## PT-BL-005 - Categorize import result errors
- Status: open
- Priority: medium
- Source: [rules/market-price-import.md](../rules/market-price-import.md)
- Requirement: distinguish business validation errors from file, parsing, and technical errors in the import result.
- Current behavior: row errors are grouped under one `Errors` section.
- Expected code impact:
- `modules/purchase_trade/pricing.py`
- `modules/purchase_trade/view/import_prices_result_form.xml` only if the result display needs more structure
- Expected tests:
- result message separates business validation errors from parsing/technical errors
- invalid workbook and missing required columns remain blocking `UserError`
- row-level errors still let the import continue

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# Business Rules - Purchase Trade
Statut: `draft`
Version: `v0.2`
Derniere mise a jour: `2026-03-27`
Version: `v0.3`
Derniere mise a jour: `2026-05-07`
Owner metier: `a completer`
Owner technique: `a completer`
@@ -13,163 +13,45 @@ Owner technique: `a completer`
- Modules impactes:
- `purchase_trade`
- `lot`
- `price`
## 2) Glossaire
- `Purchase Line`: ligne d'achat.
- `quantity_theorical`: quantite theorique contractuelle de la ligne.
- `Virtual Lot`: lot unique de type `virtual` rattache a une `purchase.line`.
- `lot.qt`: table des quantites ouvertes, matchées ou shippées par lot.
- `Physical Lot`: lot physique de type `physic` utilise comme pont entre achat, vente et shipment.
- `lot.qt`: table des quantites ouvertes, matchees ou shippees par lot.
- `lot.qt ouvert`: enregistrement `lot.qt` avec `lot_p = virtual lot`, `lot_s = None` et sans shipment.
- `price.price`: index de prix marche.
- `price.price_value`: valeur datee d'un index de prix marche.
## 3) Regles metier
## 3) Catalogue des regles
### BR-PT-001 - Ajustement de la quantite theorique apres creation du contrat
| ID | Titre | Domaine | Detail |
| --- | --- | --- | --- |
| BR-PT-001 | Ajustement de la quantite theorique apres creation du contrat | Lot / Purchase | [rules/lot-quantity.md](rules/lot-quantity.md) |
| BR-PT-002 | Le lot physique est le pont metier entre purchase, sale et shipment | Lot / Navigation | [rules/lot-navigation.md](rules/lot-navigation.md) |
| BR-PT-003 | Le freight amount des templates facture vient du fee de shipment | Invoice / Freight | [rules/invoice-freight.md](rules/invoice-freight.md) |
| BR-PT-004 | Market Price Import | Pricing | [rules/market-price-import.md](rules/market-price-import.md) |
- Intent: conserver la coherence entre la quantite theorique de la ligne d'achat, le lot virtuel associe et les quantites ouvertes stockees dans `lot.qt`.
- Description:
- Quand `purchase.line.quantity_theorical` est modifiee apres creation du contrat, le systeme doit recalculer le delta entre l'ancienne et la nouvelle valeur.
- La regle s'applique au lot unique de type `virtual` rattache a la `purchase.line`.
- Conditions d'entree:
- Une `purchase.line` existe deja.
- Son champ `quantity_theorical` est modifie via `write`.
- Un lot `virtual` est rattache a la ligne.
- Resultat attendu:
- Si `delta > 0`:
- augmenter la quantite courante du lot `virtual` via `set_current_quantity` pour conserver l'historique `lot.qt.hist`
- augmenter le `lot.qt` ouvert existant
- si aucun `lot.qt` ouvert n'existe, en creer un nouveau avec le delta
- Si `delta < 0`:
- diminuer le `lot.qt` ouvert uniquement si la quantite ouverte disponible est suffisante
- diminuer la quantite courante du lot `virtual` du meme delta
- si aucun `lot.qt` ouvert n'existe ou si sa quantite est insuffisante, bloquer avec l'erreur `Please unlink or unmatch lot`
- Definition du `lot.qt` ouvert:
- `lot_p = virtual lot`
- `lot_s = None`
- `lot_shipment_in = None`
- `lot_shipment_internal = None`
- `lot_shipment_out = None`
- Exceptions:
- si aucun lot `virtual` n'est trouve sur la ligne, la regle ne fait rien
- Priorite:
- `bloquante`
- Source:
- `Decision metier documentee dans les commentaires de purchase_trade.purchase.Line.write`
## 4) Convention pour les nouvelles regles
### BR-PT-002 - Le lot physique est le pont metier entre purchase, sale et shipment
Voir aussi [documentation-management.md](documentation-management.md) pour le workflow complet de gestion documentaire.
- Intent: disposer d'un chemin unique et stable pour retrouver les informations logistiques et de facturation reliees a un contrat d'achat ou de vente.
- Description:
- Le lot physique (`lot_type = physic`) porte simultanement le lien vers:
- la `purchase.line` via `lot.line`
- la `sale.line` via `lot.sale_line`
- le shipment via `lot.lot_shipment_in` / `lot.lot_shipment_internal` / `lot.lot_shipment_out`
- Pour toute logique qui doit naviguer entre achat, vente, shipment et facture, il faut privilegier ce lot physique comme source de verite.
- Resultat attendu:
- depuis une facture d'achat:
- remonter a la `purchase.line`
- puis au lot physique de la ligne
- puis au shipment et aux donnees logistiques associees
- depuis une facture de vente:
- remonter a la `sale.line`
- puis au lot physique matchant qui porte aussi la `purchase.line`
- puis au shipment et aux donnees logistiques associees
- Cas d'usage typiques:
- recuperer `bl_date`, `bl_number`, `controller`, `from_location`, `to_location`
- retrouver une facture provisoire liee au lot
- retrouver des fees rattaches au shipment
- Priorite:
- `structurante`
Ajouter une ligne au catalogue puis creer une fiche detaillee dans `docs/rules/`.
### BR-PT-003 - Le freight amount des templates facture vient du fee de shipment
Structure recommandee:
- Intent: afficher dans les documents facture la vraie valeur de fret maritime rattachee au shipment du lot physique.
- Description:
- Le `FREIGHT VALUE` d'une facture ne doit pas etre pris sur la facture elle-meme.
- Il doit etre calcule a partir du `fee.fee` rattache au shipment (`shipment_in`) du lot physique relie a la facture.
- Regle de navigation:
- retrouver le lot physique pertinent depuis la facture
- retrouver son shipment
- chercher le `fee.fee` avec:
- `shipment_in = shipment.id`
- `product.name = 'Maritime freight'`
- utiliser `fee.get_amount()` comme montant de fret
- Portee:
- s'applique aussi bien aux factures d'achat qu'aux factures de vente
- cote vente, la remontee doit passer par le lot physique qui fait le lien entre `purchase.line` et `sale.line`
- Priorite:
- `importante`
- Intent
- Scope
- Inputs
- Expected Behavior
- Edge Cases
- Impacted Files
- Tests
- Open Questions
## 4) Exemples concrets
### Exemple E1 - Augmentation simple
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 120`
- `lot.qt ouvert = 40`
- Attendu:
- lot `virtual` augmente de `20`
- `lot.qt ouvert` passe de `40` a `60`
### Exemple E2 - Augmentation sans lot.qt ouvert
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 110`
- aucun `lot.qt` ouvert
- Attendu:
- lot `virtual` augmente de `10`
- creation d'un `lot.qt` ouvert a `10`
### Exemple E3 - Diminution possible
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 90`
- `lot.qt ouvert = 25`
- Attendu:
- lot `virtual` diminue de `10`
- `lot.qt ouvert` passe de `25` a `15`
### Exemple E4 - Diminution impossible
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 80`
- `lot.qt ouvert = 5`
- Attendu:
- blocage avec `Please unlink or unmatch lot`
## 5) Impact code attendu
- Fichiers Python concernes:
- `modules/purchase_trade/purchase.py`
- `modules/purchase_trade/lot.py`
## 6) Strategie de tests
Pour cette regle, couvrir au minimum:
- augmentation avec `lot.qt` ouvert existant
- augmentation sans `lot.qt` ouvert
- diminution possible
- diminution impossible avec erreur
### BR-PT-004 - Market Price Import
- Goal: import market prices from an Excel file
- Description: after having selected an Excel file with the following columns:
- price_index: name of the market
- price_date: date of the price
- high price: high price
- low price: low price
- open price: open price
- price value: price value
- Expected behavior:
- Check if price_index exists prior to impport related prices
- If price_index does not exist, check if option "Create price index is missing" has been checked in the input screen. If checked then try to create first the price index (table: price_price). If option is not checked, then ignore the price_index and mark it as "skipped" in the output results of the import.
- Check if price_date for the price_index already exists.
- If price_date does not exist, then import the price. If price_date already exists then check if option "Overwrite existing price" is checked in the input screen. If checked, update the price for price_index and price_date. If option is not checked, then ignore the price_date and mark as "skipped" in the output.
Les regles courtes peuvent rester dans ce catalogue temporairement, mais toute regle avec impact code, tests, edge cases ou flux transverse doit avoir son fichier dedie.
Dans les sections `Open Questions`, prefixer chaque question avec `Q:` et chaque reponse documentee avec `A:`.

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# Documentation Management - Purchase Trade
This guide records the documentation workflow to apply for future `purchase_trade` developments.
## Rule Documentation Structure
- Keep `business-rules.md` as the entry point and rule catalog.
- Store detailed business rules in `docs/rules/`, one file per substantial rule.
- Use stable business rule IDs such as `BR-PT-004`.
- Add every new detailed rule to the catalog in `business-rules.md`.
- Keep rule files focused on business behavior, expected outcomes, edge cases, impacted files, tests, and open questions.
## Rule File Template
Use this structure for detailed rule files when applicable:
- Intent
- Scope
- Inputs
- Date and Numeric Parsing, when relevant
- Expected Behavior
- Defaults or Derived Values, when relevant
- Result Reporting, when relevant
- Edge Cases
- Impacted Files
- Tests
- Open Questions
## Open Questions
- In `Open Questions`, prefix every question with `Q:`.
- Prefix every documented answer with `A:`.
- When an answer differs from current code behavior, add a short `Comment:` explaining that a code change is required.
- Once all questions have answers, keep the section as decision history unless the rule becomes noisy.
Example:
```md
- Q: Should missing `price_value` be allowed?
- A: Missing `price_value` is not allowed. Report the row as an error.
- Comment: current code allows empty `price_value`. Implementing this answer requires a code change.
```
## Backlog From Documentation
- When answered questions imply code changes, create a dedicated backlog file for the feature or rule.
- Store all backlog files in `docs/backlog/`.
- Name backlog files by feature, for example `docs/backlog/market-price-import-backlog.md`.
- Do not use a generic module backlog when the changes belong to one feature.
- After coding a backlog item, update that item with the work done and mark its `Status` as `to be tested` until the targeted validation has run successfully in the proper environment.
- After committing implemented backlog work, record the implementation commit hash in the relevant backlog item for future reference.
- Each backlog item should include:
- stable ID
- status
- implementation commit, once committed
- priority
- source rule file
- requirement
- work done, once implemented
- validation status, once attempted
- current behavior, when useful
- expected code impact
- expected tests
## Review Workflow
For future development work:
1. Read the relevant rule file before changing code.
2. Review the current code and tests related to the rule.
3. Update the rule documentation if code review reveals missing behavior, edge cases, defaults, or test gaps.
4. Record unresolved decisions as `Q:` entries.
5. Record accepted decisions as `A:` entries.
6. Convert accepted decisions that require code changes into backlog items.
7. Implement code only after the requested documentation/specification step is complete, or after explicit approval when the user asks to wait.
## Scope Discipline
- Keep documentation changes close to the affected module and feature.
- Do not mix unrelated features in one rule file or one backlog file.
- Link or list impacted files so future agents can work in a narrow code scope.
- Keep tests listed near the rule they validate.

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# BR-PT-003 - Le freight amount des templates facture vient du fee de shipment
## Intent
Afficher dans les documents facture la vraie valeur de fret maritime rattachee au shipment du lot physique.
## Scope
- Domaine: `purchase_trade`
- Flux: templates facture achat et vente
- Priorite: `importante`
## Expected Behavior
Le `FREIGHT VALUE` d'une facture ne doit pas etre pris sur la facture elle-meme.
Il doit etre calcule a partir du `fee.fee` rattache au shipment (`shipment_in`) du lot physique relie a la facture.
Regle de navigation:
- retrouver le lot physique pertinent depuis la facture
- retrouver son shipment
- chercher le `fee.fee` avec:
- `shipment_in = shipment.id`
- `product.name = 'Maritime freight'`
- utiliser `fee.get_amount()` comme montant de fret
La regle s'applique aussi bien aux factures d'achat qu'aux factures de vente.
Cote vente, la remontee doit passer par le lot physique qui fait le lien entre `purchase.line` et `sale.line`.
## Impacted Files
- `modules/purchase_trade/invoice.py`
- `modules/purchase_trade/fee.py`
- `modules/purchase_trade/lot.py`
- Templates facture `.fodt` concernes par `FREIGHT VALUE`
## Tests
Couvrir les changements au plus proche du flux modifie:
- facture achat avec lot physique, shipment et fee `Maritime freight`
- facture vente qui remonte au lot physique puis au shipment
- cas sans fee maritime
- cas sans lot physique pertinent
## Open Questions
- Preciser les templates exacts quand une demande cible un document facture particulier.

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# BR-PT-002 - Le lot physique est le pont metier entre purchase, sale et shipment
## Intent
Disposer d'un chemin unique et stable pour retrouver les informations logistiques et de facturation reliees a un contrat d'achat ou de vente.
## Scope
- Domaine: `purchase_trade`
- Flux: navigation metier entre achat, vente, shipment et facture
- Priorite: `structurante`
## Expected Behavior
Le lot physique (`lot_type = physic`) porte simultanement le lien vers:
- la `purchase.line` via `lot.line`
- la `sale.line` via `lot.sale_line`
- le shipment via `lot.lot_shipment_in` / `lot.lot_shipment_internal` / `lot.lot_shipment_out`
Pour toute logique qui doit naviguer entre achat, vente, shipment et facture, il faut privilegier ce lot physique comme source de verite.
Depuis une facture d'achat:
- remonter a la `purchase.line`
- puis au lot physique de la ligne
- puis au shipment et aux donnees logistiques associees
Depuis une facture de vente:
- remonter a la `sale.line`
- puis au lot physique matchant qui porte aussi la `purchase.line`
- puis au shipment et aux donnees logistiques associees
## Typical Use Cases
- recuperer `bl_date`, `bl_number`, `controller`, `from_location`, `to_location`
- retrouver une facture provisoire liee au lot
- retrouver des fees rattaches au shipment
## Impacted Files
- `modules/purchase_trade/lot.py`
- `modules/purchase_trade/purchase.py`
- `modules/purchase_trade/sale.py`
- `modules/purchase_trade/invoice.py`
- Templates facture relies aux donnees logistiques, si le flux documentaire est concerne.
## Tests
Couvrir les changements au plus proche du flux modifie:
- navigation achat vers lot physique puis shipment
- navigation vente vers lot physique puis shipment
- cas sans lot physique pertinent
## Open Questions
- Documenter au cas par cas les champs exposes au reporting facture quand ils dependent de cette navigation.

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# BR-PT-001 - Ajustement de la quantite theorique apres creation du contrat
## Intent
Conserver la coherence entre la quantite theorique de la ligne d'achat, le lot virtuel associe et les quantites ouvertes stockees dans `lot.qt`.
## Scope
- Domaine: `purchase_trade`
- Flux: modification de `purchase.line.quantity_theorical` apres creation du contrat
- Priorite: `bloquante`
## Inputs
- Une `purchase.line` existe deja.
- Son champ `quantity_theorical` est modifie via `write`.
- Un lot unique de type `virtual` est rattache a la ligne.
## Expected Behavior
Quand `purchase.line.quantity_theorical` est modifiee apres creation du contrat, le systeme doit recalculer le delta entre l'ancienne et la nouvelle valeur.
La regle s'applique au lot unique de type `virtual` rattache a la `purchase.line`.
Si `delta > 0`:
- augmenter la quantite courante du lot `virtual` via `set_current_quantity` pour conserver l'historique `lot.qt.hist`
- augmenter le `lot.qt` ouvert existant
- si aucun `lot.qt` ouvert n'existe, en creer un nouveau avec le delta
Si `delta < 0`:
- diminuer le `lot.qt` ouvert uniquement si la quantite ouverte disponible est suffisante
- diminuer la quantite courante du lot `virtual` du meme delta
- si aucun `lot.qt` ouvert n'existe ou si sa quantite est insuffisante, bloquer avec l'erreur `Please unlink or unmatch lot`
Definition du `lot.qt` ouvert:
- `lot_p = virtual lot`
- `lot_s = None`
- `lot_shipment_in = None`
- `lot_shipment_internal = None`
- `lot_shipment_out = None`
## Edge Cases
- Si aucun lot `virtual` n'est trouve sur la ligne, la regle ne fait rien.
## Examples
### Exemple E1 - Augmentation simple
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 120`
- `lot.qt ouvert = 40`
- Attendu:
- lot `virtual` augmente de `20`
- `lot.qt ouvert` passe de `40` a `60`
### Exemple E2 - Augmentation sans lot.qt ouvert
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 110`
- aucun `lot.qt` ouvert
- Attendu:
- lot `virtual` augmente de `10`
- creation d'un `lot.qt` ouvert a `10`
### Exemple E3 - Diminution possible
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 90`
- `lot.qt ouvert = 25`
- Attendu:
- lot `virtual` diminue de `10`
- `lot.qt ouvert` passe de `25` a `15`
### Exemple E4 - Diminution impossible
- Donnees:
- `ancienne quantity_theorical = 100`
- `nouvelle quantity_theorical = 80`
- `lot.qt ouvert = 5`
- Attendu:
- blocage avec `Please unlink or unmatch lot`
## Impacted Files
- `modules/purchase_trade/purchase.py`
- `modules/purchase_trade/lot.py`
## Tests
Couvrir au minimum:
- augmentation avec `lot.qt` ouvert existant
- augmentation sans `lot.qt` ouvert
- diminution possible
- diminution impossible avec erreur
## Source
- Decision metier documentee dans les commentaires de `purchase_trade.purchase.Line.write`.

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# BR-PT-004 - Market Price Import
## Intent
Import dated market prices from an `.xlsx` Excel file into `price.price_value`, using `price.price` as the market price index.
## Scope
- Wizard: `purchase_trade.import_prices`
- Input model: `purchase_trade.import_prices.start`
- Result model: `purchase_trade.import_prices.result`
- Target models:
- `price.price`
- `price.price_value`
- Menu entry: under `price.menu_price`
## Inputs
The wizard reads only the first worksheet of an `.xlsx` file.
The first row is treated as the header row. Header names are normalized by lowercasing and removing non-alphanumeric characters, so labels such as `price_index`, `price index`, and `Price Index` map to the same field.
Required columns:
- `price_index`
- `price_date`
- `high_price`
- `low_price`
- `open_price`
- `price_value`
The wizard options are:
- `Create price index if missing`
- `Overwrite existing price`
## Date and Numeric Parsing
Accepted `price_date` values:
- Excel serial date numbers
- `YYYY-MM-DD`
- `DD/MM/YYYY`
- `MM/DD/YYYY`
Numeric price fields accept decimal commas or decimal points. Empty numeric cells are imported as empty values. Invalid numeric values are reported as row errors.
## Expected Behavior
For each non-empty data row, starting from Excel row 2:
1. Trim and validate `price_index`.
2. Parse `price_date`.
3. Search `price.price` by exact `price_index`.
4. If the price index is missing:
- create it when `Create price index if missing` is checked
- otherwise skip the row with `price_index missing`
5. Search `price.price_value` by `(price, price_date)`.
6. If an existing price value is found:
- update it when `Overwrite existing price` is checked
- otherwise skip the row with `price_date already exists`
7. If no existing price value is found, create a new `price.price_value`.
## Created Price Index Defaults
When the wizard creates a missing `price.price`, it sets:
- `price_index = imported price_index`
- `price_desc = imported price_index`
- `price_curve_type = future`
It also tries to default these references when matching records exist:
- `price_type`: `price.fixtype` where `name = Market price`
- `price_currency`: `currency.currency` where `code = USD`
- `price_calendar`: `price.calendar` where `name = Argus EU`
- `price_unit`: `product.uom` where `name = Mt`
If the `price_index` contains a `YYYY-MM` style period, the wizard derives a `product.month`:
- pattern accepted in the name: `YYYY-MM`, `YYYY/MM`, `YYYY_MM`, `YYYY.MM`, or `YYYY MM`
- month name format: `MONYY`, for example `JUL26`
- if no matching `product.month` exists, it is created with `is_cotation = True`
## Result Reporting
The result screen always shows counts and detail sections for:
- created price indexes
- imported prices
- updated existing prices
- skipped records
- errors
Row-level errors do not stop the whole import; the wizard records the error and continues with the next row.
## Edge Cases
- Missing `price_index`: skipped.
- Missing `price_date`: skipped.
- Invalid `.xlsx` file: blocking `UserError`.
- Missing required columns: blocking `UserError`.
- Invalid date: row error.
- Invalid numeric value: row error.
- Existing `(price, price_date)` without overwrite option: skipped.
- Existing `(price, price_date)` with overwrite option: updated.
- Empty rows are ignored.
## Impacted Files
Direct `purchase_trade` files:
- `modules/purchase_trade/pricing.py`
- `modules/purchase_trade/pricing.xml`
- `modules/purchase_trade/view/import_prices_start_form.xml`
- `modules/purchase_trade/view/import_prices_result_form.xml`
- `modules/purchase_trade/__init__.py`
- `modules/purchase_trade/tryton.cfg`
- `modules/purchase_trade/tests/test_module.py`
External model dependencies:
- `modules/price/price.py`
- `modules/price/price_value.py`
- `modules/price/view/price_value_form.xml`
## Tests
Existing focused tests cover:
- missing price index skipped when creation is disabled
- missing price index created when creation is enabled
- default fields on newly created price indexes
- period reuse/creation from `price_index`
- existing `price_date` skipped when overwrite is disabled
- existing `price_date` updated when overwrite is enabled
- invalid row values collected as errors
- result screen formatting
Recommended additional tests:
- `.xlsx` header normalization
- missing required columns
- Excel serial date parsing
- empty row ignored
- invalid workbook raises `UserError`
## Open Questions
- Q: Should `(price, price_date)` be enforced unique at model/database level?
- A: Enforce uniqueness at model level for now. Do not add a database constraint yet.
- Q: Should created price index defaults remain hardcoded to `Market price`, `USD`, `Argus EU`, and `Mt`?
- A: Yes. Keep these defaults hardcoded for this import.
- Q: Should ambiguous slash dates prefer `DD/MM/YYYY` over `MM/DD/YYYY`, as currently implemented?
- A: Prefer the user's/default locale date format when possible. Fall back to the current order only if no locale preference is available.
- Comment: current code tries `DD/MM/YYYY` before `MM/DD/YYYY` and does not inspect locale. Implementing this answer requires a code change.
- Q: Should missing `price_value` be allowed, or should it skip/error while high/low/open remain optional?
- A: Missing `price_value` is not allowed. Report the row as an error. `high_price`, `low_price`, and `open_price` remain optional.
- Comment: current code allows empty `price_value` and imports it as an empty value. Implementing this answer requires a code change.
- Q: Should duplicate rows for the same `(price_index, price_date)` inside the same Excel file be treated as an error, skipped after the first row, or resolved by the overwrite option?
- A: Report duplicate rows as row errors and do not import or update the duplicate row.
- Q: When `Create price index if missing` is enabled, should missing default reference records (`Market price`, `USD`, `Argus EU`, `Mt`) block index creation or remain optional as currently implemented?
- A: Remain optional. Create the price index with the reference records that can be found.
- Q: Should the import result distinguish business validation errors from technical parsing errors?
- A: Yes. Distinguish business validation errors from file, parsing, and technical errors in the import result.

View File

@@ -6,7 +6,9 @@ from datetime import date
from types import SimpleNamespace
from unittest.mock import Mock, patch
from trytond.model.exceptions import ValidationError
from trytond.pool import Pool
from trytond.modules.price.price_value import PriceValue
from trytond.tests.test_tryton import ModuleTestCase, with_transaction
from trytond.modules.purchase_trade.pricing import ImportPrices
@@ -306,6 +308,37 @@ class PurchaseTradeTestCase(ModuleTestCase):
self.assertIn('Errors:', message)
self.assertIn('Row 2 - LME Copper / 2026-03-27', message)
def test_price_value_unique_rejects_duplicate_create(self):
'price value uniqueness rejects duplicate model creation'
price_value = SimpleNamespace(
id=None,
price=SimpleNamespace(id=1),
price_date=date(2026, 3, 27),
)
with patch.object(
PriceValue, 'search',
return_value=[SimpleNamespace(id=2)]):
with self.assertRaises(ValidationError):
PriceValue.check_unique_price_date([price_value])
def test_price_value_unique_rejects_duplicate_write(self):
'price value uniqueness excludes current record on write'
price_value = SimpleNamespace(
id=2,
price=SimpleNamespace(id=1),
price_date=date(2026, 3, 27),
)
with patch.object(
PriceValue, 'search',
return_value=[SimpleNamespace(id=3)]) as search:
with self.assertRaises(ValidationError):
PriceValue.check_unique_price_date([price_value])
domain = search.call_args[0][0]
self.assertIn(('id', '!=', 2), domain[1])
class _FakePriceModel:

View File

@@ -0,0 +1,7 @@
# AGENTS.md
Instructions locales pour les agents qui interviennent dans `modules/trade_finance/`.
- `trade_finance` est un module additionnel de Tryton standard.
- Le traiter comme un module standard/upstream Tryton: privilegier les patterns Tryton existants, garder les changements generiques, et eviter d'y introduire de la logique metier specifique a un client sauf demande explicite.
- Limiter les modifications a ce module et a ses tests proches quand la demande concerne `trade_finance`.