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

" # Flag to track if the tracking number is found tracking_found = False # 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 result_html += f"

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

" result_html += f"

Row {row_idx}, Column {col_idx}: {cell_str}

" # Once the tracking number is found, no need to process further sheets if tracking_found: break # 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')