l5

app.py

@@ -239,7 +239,7 @@ def get_ai_insights(market_data, state, district, market=None, commodity=None, l
         }
         
         response = requests.post(
-            f"{api_url}?key={api_key}", 
+            f"{api_url}?key={GEMINI_API}", 
             headers=headers, 
             json=payload, 
             timeout=20
@@ -470,8 +470,15 @@ app.logger.addHandler(handler)
 def index():
     try:
         app.logger.info("Fetching initial market data")
+        # Check if CSV file exists
+        csv_path = "final_price_data.csv"
+        if not os.path.exists(csv_path):
+            app.logger.error(f"CSV file not found at: {os.path.abspath(csv_path)}")
+        
         initial_data = fetch_market_data()
+        app.logger.info(f"Initial data shape: {initial_data.shape if not initial_data.empty else 'Empty'}")
         states = sorted(initial_data['state'].dropna().unique()) if not initial_data.empty else []
+        app.logger.info(f"Found {len(states)} states")
     except Exception as e:
         app.logger.error(f"Error fetching initial data: {str(e)}")
         states = []
@@ -484,7 +491,7 @@ def index():
     except Exception as e:
         app.logger.error(f"Template rendering error: {str(e)}")
         return f"Error loading application: {str(e)}", 500
-
+        
 @app.route('/filter_data', methods=['POST'])
 def filter_data():
     app.logger.info("Received filter_data request")
@@ -505,11 +512,8 @@ def filter_data():
             'plots': plots,
             'insights': insights,
             'success': not df.empty,
-            'hasStateDistrict': bool(state and district),
-            'market_html': market_table_html,
-            'cheapest_html': cheapest_table_html,
-            'costliest_html': costliest_table_html,
-            'market_stats': market_stats
+            'hasStateDistrict': bool(state and district)
+            # Removed undefined variables
         }
         
         return jsonify(response)