6 test

test_apps/test_app6.py

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+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 '''
+        <h2>Upload Excel File</h2>
+        <form action="/upload" method="post" enctype="multipart/form-data">
+            <input type="file" name="file">
+            <br><br>
+            <input type="text" name="tracking_no" placeholder="Enter Tracking No">
+            <br><br>
+            <input type="submit" value="Upload">
+        </form>
+    '''
+
+@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 = "<h2>Tracking Information</h2>"
+
+        # Process each sheet
+        for sheet_name, df in sheet_data.items():
+            # Save each sheet as a CSV
+            csv_filename = os.path.join(UPLOAD_FOLDER, f"{sheet_name}.csv")
+            df.to_csv(csv_filename, index=False)
+
+            # Display the entire sheet for debugging (without trimming)
+            result_html += f"<h3>Full content of sheet '{sheet_name}':</h3>"
+            result_html += f"<pre>{df}</pre>"
+
+            # Flag to track if tracking number is found in the sheet
+            tracking_found = False
+
+            # 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"<p><strong>Tracking No:</strong> {tracking_no} found in row {row_idx}, column {col_idx} (value: {cell_str})</p>"
+
+            if not tracking_found:
+                result_html += f"<p>No data found for Tracking No: {tracking_no} in sheet: {sheet_name}</p>"
+
+        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')