openclaw - 💡(How to fix) Fix Office Planner PO pipeline — PDF extraction + PO generation [1 participants]

Fix Plan

To address the issue, we will implement an end-to-end solution using Optical Character Recognition (OCR) for PDF processing and database queries for cross-referencing.

Steps

• Step 1: PDF Processing
  • Use a library like pytesseract for OCR and pdf2image for converting PDFs to images.
  • Example code:

  from PIL import Image
  import pytesseract
  from pdf2image import convert_from_path
  
  # Convert PDF to image
  images = convert_from_path('order_confirmation.pdf')
  
  # Perform OCR
  text = pytesseract.image_to_string(images[0])

• Step 2: Cross-Referencing
  • Use a database library like sqlite3 or pandas to query stored Proforma Invoices.
  • Example code:

  import sqlite3
  
  # Connect to database
  conn = sqlite3.connect('proforma_invoices.db')
  cursor = conn.cursor()
  
  # Query database
  cursor.execute('SELECT * FROM invoices WHERE order_id = ?', ('ORDER-123',))
  invoices = cursor.fetchall()

• Step 3: Generate Purchase Orders
  • Use a library like reportlab to generate PDFs.
  • Example code:

  from reportlab.pdfgen import canvas
  from reportlab.lib.pagesizes import letter
  
  # Create PDF
  c = canvas.Canvas('purchase_order.pdf', pagesize=letter)
  c.drawString(100, 750, 'Purchase Order #123')
  c.save()

Verification

• Test the end-to-end solution with sample PDFs and database entries.
• Verify that the generated Purchase Orders are accurate and complete.

Extra Tips

• Ensure that the OCR library is configured correctly for the specific PDF layout and font.
• Handle errors and exceptions properly to avoid crashes and data corruption.