Create bhel.py

bhel.py

@@ -0,0 +1,35 @@
+import pdfplumber
+import pandas as pd
+import tempfile
+
+def extract_bhel_data(pdf_file):
+    data = []
+    columns = ["Sl No", "Material Description", "Unit", "Quantity", "Dely Qty", "Dely Date", "Unit Rate", "Value", "Material Number", "HSN Code", "IGST"]
+    start_si, end_si = 10, 1150
+
+    with pdfplumber.open(pdf_file) as pdf:
+        for page in pdf.pages:
+            text = page.extract_text().splitlines()
+            for line in text:
+                parts = line.split()
+                try:
+                    si_no = int(parts[0])
+                    if start_si <= si_no <= end_si:
+                        material_desc = " ".join(parts[1:3])
+                        unit = parts[3]
+                        quantity = int(parts[4])
+                        dely_qty = int(parts[5])
+                        dely_date = parts[6]
+                        unit_rate = float(parts[7])
+                        value = float(parts[8])
+                        material_number = parts[9] if len(parts) > 9 else ""
+                        hsn_code = parts[10] if len(parts) > 10 else ""
+                        igst = parts[11] if len(parts) > 11 else ""
+                        data.append([si_no, material_desc, unit, quantity, dely_qty, dely_date, unit_rate, value, material_number, hsn_code, igst])
+                except (ValueError, IndexError):
+                    continue
+
+    df = pd.DataFrame(data, columns=columns)
+    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".xlsx")
+    df.to_excel(temp_file.name, index=False)
+    return temp_file.name