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Update parse_bhel_po.py
Browse files- parse_bhel_po.py +30 -27
parse_bhel_po.py
CHANGED
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@@ -3,66 +3,70 @@ import pandas as pd
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import re
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def extract_po_details(file_obj):
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data = []
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with pdfplumber.open(file_obj) as pdf:
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for page_number, page in enumerate(pdf.pages, start=1):
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text = page.extract_text()
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if not text:
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print(f"[DEBUG] No text found on page {page_number}. Skipping.")
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continue
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print(f"[DEBUG] Processing text from page {page_number}")
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lines = text.splitlines()
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current_record = {}
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for line_number, line in enumerate(lines, start=1):
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print(f"[DEBUG] Processing line {line_number} on page {page_number}: {line}")
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#
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sl_no_match = re.match(r'(\d+)\s+', line)
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if sl_no_match and
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current_record["Sl No"] = sl_no_match.group(1)
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#
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if
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current_record["Material Description"] = material_desc_match.group(0)
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# Match Unit
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# Match Quantity
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quantity_match = re.search(r'
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if quantity_match and not current_record
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current_record["Quantity"] = quantity_match.group(1)
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# Match Delivery Quantity
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dely_qty_match = re.search(r'
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if dely_qty_match and
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current_record["Dely Qty"] = dely_qty_match.group(1)
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# Match Delivery Date
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dely_date_match = re.search(r'\d{2}\.\d{2}\.\d{4}', line)
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if dely_date_match and
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current_record["Dely Date"] = dely_date_match.group(0)
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# Match Unit Rate
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unit_rate_match = re.search(r'Unit Rate\s+([\d.]+)', line)
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if unit_rate_match and
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current_record["Unit Rate"] = unit_rate_match.group(1)
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# Match Value
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value_match = re.search(r'Value\s+([\d.]+)', line)
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if value_match and not current_record
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current_record["Value"] = value_match.group(1)
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# Check if we have a complete record
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if len(current_record) == 8:
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data.append([
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current_record["Sl No"],
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current_record["Material Description"],
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@@ -73,8 +77,7 @@ def extract_po_details(file_obj):
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current_record["Unit Rate"],
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current_record["Value"]
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])
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current_record = {} # Reset for the next record
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# Create DataFrame if data was extracted
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if data:
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import re
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def extract_po_details(file_obj):
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data = [] # Store completed rows here
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current_record = {} # Temporary storage for each record until complete
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with pdfplumber.open(file_obj) as pdf:
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for page_number, page in enumerate(pdf.pages, start=1):
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text = page.extract_text()
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if not text:
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print(f"[DEBUG] No text found on page {page_number}. Skipping.")
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continue
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print(f"[DEBUG] Processing text from page {page_number}")
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lines = text.splitlines() # Process line by line for better control
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for line_number, line in enumerate(lines, start=1):
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print(f"[DEBUG] Processing line {line_number} on page {page_number}: {line}")
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# Match Sl No (if it’s the start of a new item entry)
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sl_no_match = re.match(r'(\d+)\s+', line)
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if sl_no_match and "Sl No" not in current_record:
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current_record["Sl No"] = sl_no_match.group(1)
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# Material Description (Multi-line support)
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material_desc_match = re.search(r'(BPS\s+\d+.*?HSN Code:\d+\s+IGST\s*:\s*\d+%)', line)
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if material_desc_match:
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if "Material Description" not in current_record:
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current_record["Material Description"] = material_desc_match.group(0)
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else:
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# Append if description spans multiple lines
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current_record["Material Description"] += " " + material_desc_match.group(0)
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# Match Unit
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if "Unit" not in current_record:
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unit_match = re.search(r'\b(No|Kg|Pack)\b', line)
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if unit_match:
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current_record["Unit"] = unit_match.group(0)
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# Match Quantity
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quantity_match = re.search(r'(\d+)\s+Quantity', line)
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if quantity_match and "Quantity" not in current_record:
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current_record["Quantity"] = quantity_match.group(1)
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# Match Delivery Quantity
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dely_qty_match = re.search(r'(\d+)\s+Dely Qty', line)
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if dely_qty_match and "Dely Qty" not in current_record:
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current_record["Dely Qty"] = dely_qty_match.group(1)
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# Match Delivery Date
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dely_date_match = re.search(r'(\d{2}\.\d{2}\.\d{4})', line)
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if dely_date_match and "Dely Date" not in current_record:
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current_record["Dely Date"] = dely_date_match.group(0)
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# Match Unit Rate
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unit_rate_match = re.search(r'Unit Rate\s+([\d.]+)', line)
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if unit_rate_match and "Unit Rate" not in current_record:
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current_record["Unit Rate"] = unit_rate_match.group(1)
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# Match Value
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value_match = re.search(r'Value\s+([\d.]+)', line)
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if value_match and "Value" not in current_record:
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current_record["Value"] = value_match.group(1)
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# Check if we have a complete record
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if len(current_record) == 8:
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print(f"[DEBUG] Complete record found: {current_record}")
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data.append([
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current_record["Sl No"],
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current_record["Material Description"],
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current_record["Unit Rate"],
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current_record["Value"]
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])
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current_record = {} # Reset for next record
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# Create DataFrame if data was extracted
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if data:
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