Delete bhel.py

bhel.py

@@ -1,125 +0,0 @@
-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)
-
-  def process_pdf(file):
-    try:
-        # Extract text from the PDF
-        text = extract_text_from_pdf(file)
-        
-        # Process the extracted text
-        output_path = extract_data(file.name)
-        return output_path, "Data extraction successful!"
-    except Exception as e:
-        return None, f"Error during processing: {str(e)}"
-
-
-
-
-# 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()
-