Create BHEL.py

BHEL.py

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+import pdfplumber
+import pandas as pd
+import re
+import gradio as gr
+
+def extract_data(pdf_file):
+    """
+    Extract data from the uploaded PDF for dynamic ranges (e.g., 10 to n).
+    """
+    data = []
+    columns = ["SI No", "Material Description", "Unit", "Quantity", "Dely Qty", "Dely Date", "Unit Rate", "Value"]
+
+    start_si = 10  # Start from SI No 10
+    end_si = None  # Dynamically detect the end SI No
+
+    with pdfplumber.open(pdf_file) as pdf:
+        for page in pdf.pages:
+            full_text = page.extract_text()  # Get the text content for the page
+            lines = full_text.splitlines() if full_text else []
+
+            for line in lines:
+                try:
+                    # Parse the first column for SI No
+                    si_no_match = re.match(r"^\s*(\d+)\s", line)
+                    if not si_no_match:
+                        continue
+
+                    si_no = int(si_no_match.group(1))
+                    # Dynamically set the end SI No if higher SI Nos are found
+                    if end_si is None or si_no > end_si:
+                        end_si = si_no
+
+                    if si_no < start_si:
+                        continue  # Skip rows below the start SI No
+
+                    # Extract Material Description and details dynamically
+                    material_desc = extract_material_description(full_text, si_no)
+
+                    # Extract remaining fields
+                    parts = line.split()
+                    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])
+
+                    # Append row data
+                    data.append([si_no, material_desc, unit, quantity, dely_qty, dely_date, unit_rate, value])
+
+                except (ValueError, IndexError):
+                    # Skip invalid rows or rows with missing data
+                    continue
+
+    # Convert data to DataFrame and save as Excel
+    df = pd.DataFrame(data, columns=columns)
+    excel_path = "/tmp/Extracted_PO_Data_Dynamic.xlsx"
+    df.to_excel(excel_path, index=False)
+    return excel_path
+
+def extract_material_description(full_text, si_no):
+    """
+    Extract Material Description, including Material Number, HSN Code, and IGST, using unique patterns.
+    """
+    material_desc = ""
+
+    # Match the specific SI No row to extract details
+    si_no_pattern = rf"{si_no}\s+(BPS\s+\d+).*?Material\s+Number:\s+(\d+)"
+    match = re.search(si_no_pattern, full_text, re.DOTALL)
+    if match:
+        bps_code = match.group(1)
+        material_number = match.group(2)
+        material_desc += f"{bps_code}\nMaterial Number: {material_number}\n"
+
+    # Extract HSN Code
+    hsn_code_match = re.search(r"HSN\s+Code:\s*(\d+)", full_text)
+    if hsn_code_match:
+        hsn_code = hsn_code_match.group(1)
+        material_desc += f"HSN Code: {hsn_code}\n"
+    else:
+        material_desc += "HSN Code: Not Found\n"
+
+    # Extract IGST
+    igst_match = re.search(r"IGST\s*:\s*(\d+)\s*%", full_text)
+    if igst_match:
+        igst = igst_match.group(1)
+        material_desc += f"IGST: {igst} %"
+    else:
+        material_desc += "IGST: Not Found"
+
+    return material_desc.strip()
+
+# Gradio Interface
+def gradio_interface(pdf_file):
+    """
+    Interface function for Gradio to process the PDF and return the Excel file.
+    """
+    return extract_data(pdf_file.name)
+
+# Define Gradio interface
+interface = gr.Interface(
+    fn=gradio_interface,
+    inputs=gr.File(label="Upload PDF"),
+    outputs=gr.File(label="Download Extracted Excel"),
+    title="Dynamic BHEL PO Data Extractor",
+    description="Upload a PDF to extract accurate Material Numbers and related data dynamically into an Excel file."
+)
+
+if __name__ == "__main__":
+    interface.launch()