515 lines
20 KiB
Python
515 lines
20 KiB
Python
from fastapi import FastAPI, UploadFile, HTTPException, Body
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from PIL import Image
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import pytesseract
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from doctr.models import ocr_predictor
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from doctr.io import DocumentFile
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from PyPDF2 import PdfReader
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import camelot
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import spacy
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import logging
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import io
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from logging.handlers import RotatingFileHandler
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import re
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LOG_PATH = "/var/log/automation-service.log"
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file_handler = RotatingFileHandler(
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LOG_PATH,
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maxBytes=10*1024*1024,
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backupCount=5,
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encoding="utf-8"
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)
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file_handler.setFormatter(logging.Formatter(
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"%(asctime)s - %(levelname)s - %(name)s - %(message)s"
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))
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class AHKParser:
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lab="AHK"
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def parse(self,text):
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r=empty_weight_report("AHK")
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inv=section(text,"INVOICE WEIGHTS","Bales Weighed")
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land=section(text,"Bales Weighed","Outturn")
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loss=section(text,"LOSS","Invoice average")
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r["report"]["reference"]=safe_search(r"(AHK\s*/\S+)",text)
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r["report"]["date"]=extract("Produced On",text)
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r["contract"]["invoice_no"]=extract("Client Reference",text)
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r["contract"]["origin"]=extract("Growth",text)
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r["contract"]["commodity"]="Raw Cotton"
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r["parties"]["seller"]=extract("Client",text)
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r["parties"]["buyer"]=extract("Buyer",text)
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r["shipment"]["vessel"]=extract("Vessel",text)
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r["shipment"]["bl_no"]=extract("B/L No",text)
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r["shipment"]["port_destination"]=extract("Destination",text)
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r["shipment"]["arrival_date"]=extract("Arrival Date",text)
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r["shipment"]["weighing_method"]=extract("Weighing method",text)
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r["shipment"]["bales"]=to_float(extract("Total Bales",text))
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r["weights"]["gross_landed_kg"]=to_float(extract("Gross",land))
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r["weights"]["tare_kg"]=to_float(extract("Tare",land))
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r["weights"]["net_landed_kg"]=to_float(extract("Net",land))
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r["weights"]["invoice_net_kg"]=to_float(extract("Net",inv))
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r["weights"]["gain_loss_kg"]=to_float(extract("kg",loss))
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r["weights"]["gain_loss_percent"]=to_float(extract("Percentage",loss))
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return r
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class IntertekParser:
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lab="INTERTEK"
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def parse(self,text):
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r=empty_weight_report("INTERTEK")
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pct=safe_search(r"([0-9.]+)\s*%",text)
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r["report"]["reference"]=extract("Global Ref",text)
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r["report"]["file_no"]=extract("Report / File No",text)
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r["report"]["date"]=extract("Dated",text)
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r["contract"]["contract_no"]=extract("Contract No",text)
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r["contract"]["invoice_no"]=extract("Invoice No",text)
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r["contract"]["origin"]=extract("Growth",text)
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r["contract"]["commodity"]="Raw Cotton"
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r["parties"]["buyer"]=extract("Buyer",text)
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r["shipment"]["vessel"]=extract("Vessel",text)
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r["shipment"]["bl_no"]=extract("B/L No",text)
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r["shipment"]["arrival_date"]=extract("Arrival Date",text)
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r["shipment"]["weighing_place"]=extract("Weighed at",text)
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r["shipment"]["bales"]=to_float(extract("Invoice Quantity",text))
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r["weights"]["gross_landed_kg"]=to_float(extract("Gross",text))
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r["weights"]["tare_kg"]=to_float(extract("Invoice Tare",text))
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r["weights"]["net_landed_kg"]=to_float(extract("Landed Weight",text))
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r["weights"]["invoice_net_kg"]=to_float(extract("Invoice Weight",text))
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r["weights"]["gain_loss_kg"]=to_float(extract("Gain",text))
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r["weights"]["gain_loss_percent"]=to_float(pct)
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return r
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class RobertsonParser:
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lab="ROBERTSON"
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def parse(self,text):
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r=empty_weight_report("ROBERTSON")
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pct=safe_search(r"([0-9.]+)\s*%",text)
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r["report"]["reference"]=extract("OUR REF",text)
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r["report"]["date"]=extract("DATE",text)
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r["contract"]["contract_no"]=extract("CONTRACT NO",text)
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r["contract"]["invoice_no"]=extract("INVOICE NO",text)
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r["contract"]["lc_no"]=extract("LIC NO",text)
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r["contract"]["commodity"]="Raw Cotton"
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r["parties"]["seller"]=extract("SELLER",text)
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r["parties"]["buyer"]=extract("BUYER",text)
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r["shipment"]["vessel"]=extract("NAME OF VESSEL",text)
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r["shipment"]["port_loading"]=extract("SAILED FROM",text)
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r["shipment"]["port_destination"]=extract("ARRIVED AT",text)
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r["shipment"]["arrival_date"]=extract("DATE OF ARRIVAL",text)
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r["shipment"]["weighing_place"]=extract("PLACE OF CONTROL",text)
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r["shipment"]["bales"]=to_float(extract("CONSIGNMENT",text))
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r["weights"]["gross_landed_kg"]=to_float(extract("GROSS",text))
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r["weights"]["tare_kg"]=to_float(extract("TARE",text))
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r["weights"]["net_landed_kg"]=to_float(extract("LANDED NET",text))
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r["weights"]["invoice_net_kg"]=to_float(extract("INVOICE NET",text))
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r["weights"]["gain_loss_kg"]=to_float(extract("GAIN",text))
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r["weights"]["gain_loss_percent"]=to_float(pct)
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return r
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class SGSParser:
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lab="SGS"
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def parse(self,text):
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r=empty_weight_report("SGS")
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r["report"]["reference"]=extract("LANDING REPORT No",text)
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r["report"]["file_no"]=extract("FILE NO.",text)
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r["report"]["date"]=extract("DATE",text)
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r["contract"]["contract_no"]=extract("CONTRACT NO.",text)
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r["contract"]["invoice_no"]=extract("INVOICE NO.",text)
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r["contract"]["origin"]=extract("ORIGIN",text)
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r["contract"]["commodity"]=extract("PRODUCT",text)
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r["parties"]["seller"]=extract("Seller",text)
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r["parties"]["buyer"]=extract("Buyer",text)
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r["parties"]["carrier"]=extract("Carrier",text)
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r["shipment"]["bl_no"]=extract("B/L no.",text)
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r["shipment"]["port_loading"]=extract("Port of loading",text)
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r["shipment"]["port_destination"]=extract("Port of destination",text)
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r["shipment"]["arrival_date"]=extract("Vessel arrival date",text)
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r["shipment"]["weighing_place"]=extract("Place of weighing",text)
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r["shipment"]["weighing_method"]=extract("Weighing mode",text)
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r["shipment"]["bales"]=to_float(extract("Quantity arrived",text))
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r["weights"]["gross_landed_kg"]=to_float(extract("Gross landed",text))
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r["weights"]["tare_kg"]=to_float(extract("Tare",text))
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r["weights"]["net_landed_kg"]=to_float(extract("Net landed",text))
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r["weights"]["invoice_net_kg"]=to_float(extract("Net invoiced",text))
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r["weights"]["gain_loss_kg"]=to_float(safe_search(r"Gain.*?([0-9.,]+)\s*kgs",text))
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r["weights"]["gain_loss_percent"]=to_float(safe_search(r"Gain\s*\+?\s*([0-9.,]+)\s*%",text))
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return r
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class PICLParser:
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lab="PICL"
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def parse(self,text):
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r=empty_weight_report("PICL")
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r["report"]["reference"]=safe_search(r"No[:\s]+([A-Z0-9\-]+)",text)
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r["report"]["date"]=safe_search(r"(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday),?\s*([A-Za-z]+\s+[0-9]{1,2},\s*[0-9]{4})",text,group_index=2)
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r["contract"]["contract_no"]=extract("Contract/Pl No & Date",text)
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r["contract"]["invoice_no"]=extract("Invoice ilo & Date",text)
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r["contract"]["lc_no"]=extract("L/C No & Date",text)
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r["contract"]["origin"]=extract("Country of Origin",text)
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r["contract"]["commodity"]=extract("Commodity",text)
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r["parties"]["seller"]=extract("FAIRCOT SA",text)
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r["parties"]["buyer"]=extract("M/S.",text)
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r["parties"]["carrier"]=extract("Shipping Agent",text)
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r["shipment"]["vessel"]=extract("Shipped Per Vessel",text)
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r["shipment"]["bl_no"]=extract("B/L No & Date",text)
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r["shipment"]["port_loading"]=extract("Port of Loading",text)
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r["shipment"]["port_destination"]=extract("Port of Discharge",text)
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r["shipment"]["arrival_date"]=extract("Date of Anival & LDL",text)
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r["shipment"]["weighing_place"]=extract("Place & Date of Weighment",text)
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r["shipment"]["weighing_method"]=extract("Method of Weighment",text)
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r["shipment"]["bales"]=to_float(extract("Grand Total",text))
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r["weights"]["gross_landed_kg"]=to_float(extract("Total;",text))
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r["weights"]["tare_kg"]=to_float(extract("Tare Weight",text))
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r["weights"]["net_landed_kg"]=to_float(extract("Grand Total",text))
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r["weights"]["invoice_net_kg"]=to_float(extract("Invoice weight",text))
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r["weights"]["gain_loss_kg"]=to_float(safe_search(r"(-[0-9.,]+)\s*KGS",text))
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r["weights"]["gain_loss_percent"]=to_float(safe_search(r"\(\s*([0-9.,]+)\s*o/o\s*\)",text))
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return r
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# Configure root logger explicitly
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root = logging.getLogger()
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root.setLevel(logging.INFO)
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root.addHandler(file_handler)
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root.addHandler(logging.StreamHandler())
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# Use root logger for your app
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logger = logging.getLogger(__name__)
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app = FastAPI()
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logger.info("Loading models...")
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nlp = spacy.load("en_core_web_sm")
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predictor = ocr_predictor(pretrained=True)
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logger.info("Models loaded successfully.")
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# =============================
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# 🧠 Smart OCR
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# =============================
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@app.post("/ocr")
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async def ocr(file: UploadFile):
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logger.info(f"Received OCR request: {file.filename}")
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try:
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file_data = await file.read()
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ext = file.filename.lower()
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# --------- PDF with native text ---------
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if ext.endswith(".pdf"):
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logger.info("PDF detected → Extracting native text first")
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reader = PdfReader(io.BytesIO(file_data))
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direct_text = "".join(
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page.extract_text() or "" for page in reader.pages
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)
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if direct_text.strip():
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logger.info("Native PDF text found → No OCR needed")
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return {"ocr_text": direct_text}
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# -------- Fallback: scanned PDF OCR --------
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logger.info("No native text → PDF treated as scanned → OCR")
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from pdf2image import convert_from_bytes
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images = convert_from_bytes(file_data)
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text = ""
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for i, img in enumerate(images):
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logger.info(f"OCR page {i+1}/{len(images)}")
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text += pytesseract.image_to_string(img) + "\n"
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return {"ocr_text": text}
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# --------- Image file OCR ---------
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logger.info("Image detected → Running OCR")
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img = Image.open(io.BytesIO(file_data))
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text = pytesseract.image_to_string(img)
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return {"ocr_text": text}
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except Exception as e:
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logger.error(f"OCR failed: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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# =============================
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# 🧱 Structure / Layout
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# =============================
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@app.post("/structure")
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async def structure(file: UploadFile):
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logger.info(f"Received structure request: {file.filename}")
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try:
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file_data = await file.read()
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ext = file.filename.lower()
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if ext.endswith(".pdf"):
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doc = DocumentFile.from_pdf(file_data)
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logger.info(f"Structure prediction on PDF ({len(doc)} pages)")
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else:
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img = Image.open(io.BytesIO(file_data)).convert("RGB")
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doc = DocumentFile.from_images([img])
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logger.info("Structure prediction on image")
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res = predictor(doc)
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return {"structure": str(res)}
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except Exception as e:
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logger.error(f"Structure extraction failed: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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# =============================
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# 📊 Tables extraction (PDF only)
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# =============================
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@app.post("/tables")
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async def tables(file: UploadFile):
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logger.info(f"Received table extraction request: {file.filename}")
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try:
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file_data = await file.read()
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buffer = io.BytesIO(file_data)
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tables = camelot.read_pdf(buffer)
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logger.info(f"Found {len(tables)} tables")
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return {"tables": [t.df.to_dict() for t in tables]}
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except Exception as e:
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logger.error(f"Table extraction failed: {e}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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def safe_search(pattern, text, default=None, group_index=1, context=""):
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"""Recherche sécurisée avec logging en cas d'absence de correspondance."""
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m = re.search(pattern, text, re.I | re.S)
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if not m:
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logger.warning("Pattern not found for %s: %s", context, pattern)
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return default
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try:
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return m.group(group_index).strip()
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except IndexError:
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logger.warning("Group index %d not found for %s: %s", group_index, context, pattern)
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return default
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def to_float(s):
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if not s:
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return None
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s = s.replace(",", "").replace("Kgs", "").replace("kg", "").replace("%", "")
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s = s.replace("lbs", "").replace("LBS", "")
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s = s.strip()
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try:
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return float(s)
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except:
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return None
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def section(text, start, end=None):
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"""Extract a block of text between two headings, safely."""
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pattern_start = re.escape(start)
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if end:
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pattern_end = re.escape(end)
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reg = re.compile(pattern_start + r"(.*?)" + pattern_end, re.S | re.I)
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else:
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reg = re.compile(pattern_start + r"(.*)", re.S | re.I)
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m = reg.search(text)
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if not m:
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logger.warning("Section not found: start='%s', end='%s'", start, end)
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return ""
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return m.group(1).strip()
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def extract_field(text, label, default=None):
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"""Extract a line of the form 'Label: value', safely."""
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pattern = rf"{re.escape(label)}\s*:?[\s]+([^\n]+)"
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return safe_search(pattern, text, default=default, context=f"field '{label}'")
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def extract(label, text, default=None):
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"""
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Robust extraction for OCR/PDF text.
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Works with:
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Label: Value
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Label Value
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Label .... Value
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"""
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if not text:
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return default
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patterns = [
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rf"{re.escape(label)}\s*[:\-]?\s*([^\n\r]+)",
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rf"{re.escape(label)}\s+([^\n\r]+)"
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]
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for p in patterns:
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m = re.search(p, text, re.I)
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if m:
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return m.group(1).strip()
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return default
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def extract_report_metadata(text):
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logger.info("Starting metadata extraction, text length=%d", len(text))
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try:
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# ----------- SECTIONS -----------
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order_details = section(text, "Order details", "Weights")
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invoice_section = section(text, "INVOICE WEIGHTS", "Bales Weighed")
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landed_section = section(text, "Bales Weighed", "Outturn")
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loss_section = section(text, "LOSS", "Invoice average")
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avg_section = section(text, "Invoice average", "Comments")
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signature_block = section(text, "Signed on")
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# ----------- TOP INFO -----------
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top_info = {
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"produced_on": extract_field(text, "Produced On"),
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"printed_date": extract_field(text, "Printed Date"),
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"client_reference": extract_field(text, "Client Reference"),
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"report_number": safe_search(r"(AHK\S+)", text, default="", context="report_number", group_index=1),
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}
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# ----------- ORDER DETAILS -----------
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parties = {
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"client": extract_field(order_details, "Client"),
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"client_ref_no": extract_field(order_details, "Client Ref No"),
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"buyer": extract_field(order_details, "Buyer"),
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"destination": extract_field(order_details, "Destination"),
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}
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shipment = {
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"total_bales": extract_field(order_details, "Total Bales"),
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"vessel": extract_field(order_details, "Vessel"),
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"voyage_no": extract_field(order_details, "Voy. No"),
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"bl_no": extract_field(order_details, "B/L No"),
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"bl_date": extract_field(order_details, "B/L Date"),
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"growth": extract_field(order_details, "Growth"),
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"arrival_date": extract_field(order_details, "Arrival Date"),
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"first_weighing_date": extract_field(order_details, "First date of weighing"),
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"last_weighing_date": extract_field(order_details, "Last Date of Weighing"),
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"weighing_method": extract_field(order_details, "Weighing method"),
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"tare_basis": extract_field(order_details, "Tare"),
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}
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# ----------- INVOICE SECTION -----------
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invoice = {
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"bales": extract_field(invoice_section, "Bales"),
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"gross": extract_field(invoice_section, "Gross"),
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"tare": extract_field(invoice_section, "Tare"),
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"net": extract_field(invoice_section, "Net"),
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}
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# ----------- LANDED SECTION -----------
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landed = {
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"bales": extract_field(landed_section, "Bales"),
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"gross": extract_field(landed_section, "Gross"),
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"tare": extract_field(landed_section, "Tare"),
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"net": extract_field(landed_section, "Net"),
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}
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# ----------- LOSS SECTION -----------
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loss = {
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"kg": extract_field(loss_section, "kg"),
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"lb": extract_field(loss_section, "lb"),
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"percent": extract_field(loss_section, "Percentage"),
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}
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# ----------- AVERAGES SECTION -----------
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averages = {
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"invoice_gross_per_bale": extract_field(avg_section, "Invoice average"),
|
|
"landed_gross_per_bale": extract_field(avg_section, "Landed average"),
|
|
}
|
|
|
|
# ----------- SIGNATURE -----------
|
|
signature = {
|
|
"signed_on": extract_field(signature_block, "Signed on"),
|
|
"signed_by": safe_search(r"\n([A-Za-z ]+)\nClient Services", signature_block, default="", context="signed_by"),
|
|
"role": "Client Services Coordinator",
|
|
"company": "Alfred H. Knight International Limited"
|
|
}
|
|
|
|
logger.info("Metadata extraction completed successfully")
|
|
return {
|
|
"report": top_info,
|
|
"parties": parties,
|
|
"shipment": shipment,
|
|
"weights": {
|
|
"invoice": invoice,
|
|
"landed": landed,
|
|
"loss": loss,
|
|
"averages": averages
|
|
},
|
|
"signature": signature
|
|
}
|
|
|
|
except Exception as e:
|
|
logger.exception("Unexpected error during metadata extraction")
|
|
raise HTTPException(status_code=500, detail=f"Metadata extraction failed: {e}")
|
|
|
|
def detect_template(text):
|
|
t = text.lower()
|
|
|
|
if "alfred h. knight" in t and "cotton landing report" in t:
|
|
return "AHK"
|
|
|
|
if "intertek" in t and "landing report" in t:
|
|
return "INTERTEK"
|
|
|
|
if "robertson international" in t or "ri ref no" in t:
|
|
return "ROBERTSON"
|
|
|
|
if "landing report" in t and "carcon cargo" in t:
|
|
return "SGS"
|
|
|
|
if "pacific inspection company" in t or "picl-bd.com" in t:
|
|
return "PICL"
|
|
|
|
return "UNKNOWN"
|
|
|
|
@app.post("/metadata")
|
|
async def metadata(text: str = Body(..., embed=True)):
|
|
return extract_report_metadata(text)
|
|
|
|
@app.post("/parse")
|
|
async def parse_endpoint(text: str = Body(..., embed=True)):
|
|
return parse_report(text)
|
|
|
|
PARSERS = {
|
|
"AHK": AHKParser(),
|
|
"INTERTEK": IntertekParser(),
|
|
"ROBERTSON": RobertsonParser(),
|
|
"SGS": SGSParser(),
|
|
"PICL": PICLParser()
|
|
}
|
|
|
|
def empty_weight_report(lab):
|
|
return {
|
|
"lab": lab,
|
|
"report": {"reference": None, "file_no": None, "date": None},
|
|
"contract": {"contract_no": None, "invoice_no": None, "lc_no": None, "origin": None, "commodity": None},
|
|
"parties": {"seller": None, "buyer": None, "carrier": None},
|
|
"shipment": {
|
|
"vessel": None, "bl_no": None, "port_loading": None,
|
|
"port_destination": None, "arrival_date": None,
|
|
"weighing_place": None, "weighing_method": None,
|
|
"bales": None
|
|
},
|
|
"weights": {
|
|
"gross_landed_kg": None, "tare_kg": None,
|
|
"net_landed_kg": None, "invoice_net_kg": None,
|
|
"gain_loss_kg": None, "gain_loss_percent": None
|
|
}
|
|
}
|
|
|
|
def parse_report(text):
|
|
template=detect_template(text)
|
|
if template not in PARSERS:
|
|
return {"template":"UNKNOWN"}
|
|
return PARSERS[template].parse(text) |