Update app.py

app.py

@@ -29,14 +29,11 @@ from datetime import datetime
 import io
 import secrets
 import traceback
-
 from dotenv import load_dotenv
 
-load_dotenv()
-
 current_analysis_data = {}
 
-
+load_dotenv()
 
 #===========================================================================
 # Clear the /tmp directory on startup 
@@ -147,11 +144,11 @@ app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', secrets.token_hex(32))
 app.config['UPLOAD_FOLDER'] = 'uploads'
 app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024  # 16MB max file size
 
-# Session configuration for production
-app.config['SESSION_COOKIE_SECURE'] = True  # Set to True if using HTTPS
-app.config['SESSION_COOKIE_HTTPONLY'] = True
-app.config['SESSION_COOKIE_SAMESITE'] = 'Lax'
-app.config['PERMANENT_SESSION_LIFETIME'] = 3600  # 1 hour
+# # Session configuration for production
+# app.config['SESSION_COOKIE_SECURE'] = True  # Set to True if using HTTPS
+# app.config['SESSION_COOKIE_HTTPONLY'] = True
+# app.config['SESSION_COOKIE_SAMESITE'] = 'Lax'
+# app.config['PERMANENT_SESSION_LIFETIME'] = 3600  # 1 hour
 
 
 os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
@@ -704,20 +701,16 @@ def export_csv():
     Retrieves the transformed_data from session and creates a CSV download.
     """
     try:
-        # Get the transformed data from session or request
-        # Option 1: From session (if you stored it there)
-        transformed_data = session.get('transformed_data')
+        # Use ONLY global variable (no session)
+        global current_analysis_data
+        transformed_data = current_analysis_data
         
-        # Option 2: From global variable (if you stored it there)
-        # transformed_data = current_analysis_results
-
         if not transformed_data:
-            print("Session data not found, using global variable")
-            global current_analysis_data
-            transformed_data = current_analysis_data
+            print("❌ No analysis data available in global variable")
+            return jsonify({'error': 'No analysis data available. Please run analysis first.'}), 400
+        
+        print(f"✓ Found data: Risk Level = {transformed_data.get('risk_level', 'N/A')}")
         
-        if not transformed_data:
-            return jsonify({'error': 'No analysis data available'}), 400
         
         # Create CSV in memory
         output = io.StringIO()