import pandas as pd from flask import Flask, request, render_template_string import os app = Flask(__name__) # Directory to store converted CSV files UPLOAD_FOLDER = 'converted_files' os.makedirs(UPLOAD_FOLDER, exist_ok=True) @app.route('/') def index(): return '''

Upload Excel File





''' @app.route('/upload', methods=['POST']) def upload_file(): if 'file' not in request.files or 'tracking_no' not in request.form: return "No file or tracking number provided.", 400 file = request.files['file'] tracking_no = request.form['tracking_no'] filename = file.filename if not filename.endswith(('.xls', '.xlsx')): return "Unsupported file type. Please upload an Excel file.", 400 try: # Read all sheets from the Excel file with no header file.seek(0) # Reset file pointer sheet_data = pd.read_excel(file, sheet_name=None, header=None, dtype=str) result_html = "

Tracking Information

" # Flags and variables tracking_found = False mail_bag_no = None hash_value = None # To store the # value # Process each sheet for sheet_name, df in sheet_data.items(): # Iterate through every row and column to search for the tracking number for row_idx, row in df.iterrows(): for col_idx, cell in row.items(): # Convert cell to string before searching cell_str = str(cell) # Check if the tracking number exists in the current cell if tracking_no.lower() in cell_str.lower(): tracking_found = True # Adjusting the row and column for user-friendly display (starting from 1) adjusted_row_idx = row_idx + 1 adjusted_col_idx = col_idx + 1 result_html += f"

Tracking No: {tracking_no} found in sheet '{sheet_name}'

" result_html += f"

Row {adjusted_row_idx}, Column {adjusted_col_idx}: {cell_str}

" # Fetch Mail Bag No from rows 4 and 5, columns C and D (non-zero-based indexing) try: mail_bag_no_parts = [ str(df.iloc[3, 2]) if not pd.isna(df.iloc[3, 2]) else "", str(df.iloc[3, 3]) if not pd.isna(df.iloc[3, 3]) else "" ] mail_bag_no = " ".join(part for part in mail_bag_no_parts if part.strip()) except IndexError: mail_bag_no = None # Fetch # value from column A in the same row as the tracking number try: hash_value = df.iloc[row_idx, 0] # Column A is index 0 if pd.isna(hash_value): hash_value = None except IndexError: hash_value = None # Break inner loops once tracking number is found break if tracking_found: break if tracking_found: break # Display the Mail Bag No and # value if found if tracking_found and mail_bag_no: result_html += f"

Mail Bag No: {mail_bag_no}

" elif tracking_found: result_html += f"

Mail Bag No: Not found

" if tracking_found and hash_value: result_html += f"

#: {hash_value}

" elif tracking_found: result_html += f"

#: Not found

" # If no tracking number was found, display a message if not tracking_found: result_html += f"

No data found for Tracking No: {tracking_no}

" return render_template_string(result_html) except Exception as e: return f"Error processing file: {e}", 500 if __name__ == '__main__': app.run(debug=True, port=5000, host='0.0.0.0')