Added logs on the controller of the data quality tool.

data_quality_tool/compose.yaml

@@ -11,5 +11,5 @@ services:
       context: ./frontend
       dockerfile: Dockerfile
     ports:
-      - "8080:80"
+      - "80:80"
 

data_quality_tool/controller.py

@@ -1,10 +1,8 @@
 import json
-
 from flask import Flask, request, jsonify, send_file
 from flask_cors import CORS
 import pandas as pd
 from io import BytesIO
-
 from converter.excel_to_json import convert_excel_to_json
 from converter.json_to_excel import convert_json_to_excel
 from validator import json_validator, excel_validator
@@ -14,27 +12,31 @@
 
 @app.route("/")
 def home():
+    print("Home endpoint accessed")
     return "Welcome to the Excel-JSON Converter API!"
 
 
 @app.route("/excel-to-json", methods=["POST"])
 def excel_to_json():
+    print("excel_to_json endpoint accessed")
     if "file" not in request.files:
+        print("No file part in request")
         return jsonify({"error": "No file part"}), 400
     file = request.files["file"]
     if file.filename == "":
+        print("No selected file")
         return jsonify({"error": "No selected file"}), 400
     if file:
+        print(f"Processing file: {file.filename}")
         file_stream = BytesIO(file.read())
-        # Use the file_stream object with pandas
         df = pd.read_excel(file_stream, engine="openpyxl")
+        print("Excel file read into DataFrame")
         excel_validator.validate_excel(df)
-        # Read the Excel file into a Pandas DataFrame
+        print("Excel file validated")
         json_data = convert_excel_to_json(df)
-
-        # Pretty-print the JSON data
+        print("Excel file converted to JSON")
         pretty_json_data = json.dumps(json_data, indent=4)
-
+        print("JSON data pretty-printed")
         response = app.response_class(
             response=pretty_json_data,
             status=200,
@@ -44,51 +46,66 @@ def excel_to_json():
 
 @app.route("/json-to-excel", methods=["POST"])
 def json_to_excel():
+    print("json_to_excel endpoint accessed")
     if not request.json:
+        print("No JSON provided in request")
         return "Please provide the json", 400
     json_data = request.json
-    df = convert_json_to_excel(json_data)
+    print(f"Processing JSON data: {json_data}")
     json_validator.validate_json(json_data)
-    # Create a BytesIO buffer to save the Excel file
+    print("JSON data validated")
+    df = convert_json_to_excel(json_data)
+    print("JSON data converted to Excel")
     output = BytesIO()
     with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
         df.to_excel(writer, index=False)
     output.seek(0)
-    # Send the generated Excel file
+    print("Excel file created and saved to buffer")
     return send_file(
         output,
         as_attachment=True,
-        download_name="output.xlsx",  # Use download_name for newer Flask versions if attachment_filename causes issues
+        download_name="output.xlsx",
         mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
     )
 
 @app.route("/validate-json", methods=["POST"])
 def validate_json():
+    print("validate_json endpoint accessed")
     json_data = request.json
     if not request.json:
+        print("No JSON provided in request")
         return "Please provide the json", 400
     try:
         json_validator.validate_json(json_data)
+        print("JSON data is valid")
         return jsonify({"message": "Data model is valid."})
     except json_validator.InvalidDataModelError as e:
+        print(f"JSON validation error: {str(e)}")
         return jsonify({"error": str(e)}), 400
 
 @app.route("/validate-excel", methods=["POST"])
 def validate_excel():
+    print("validate_excel endpoint accessed")
     if "file" not in request.files:
+        print("No file part in request")
         return jsonify({"error": "No file part"}), 400
     file = request.files["file"]
     if file.filename == "":
+        print("No selected file")
         return jsonify({"error": "No selected file"}), 400
     if file:
+        print(f"Processing file: {file.filename}")
         file_stream = BytesIO(file.read())
-        # Use the file_stream object with pandas
         df = pd.read_excel(file_stream, engine="openpyxl")
+        print("Excel file read into DataFrame")
         try:
             excel_validator.validate_excel(df)
+            print("Excel file is valid")
             return jsonify({"message": "Data model is valid."})
         except json_validator.InvalidDataModelError as e:
+            print(f"Excel validation error: {str(e)}")
             return jsonify({"error": str(e)}), 400
 
 if __name__ == '__main__':
+    print("Starting Flask server...")
     app.run(host='0.0.0.0', port=8000)