logs

app.py

@@ -458,140 +458,62 @@ def generate_plots(df):
     
     return plots
 
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+handler = RotatingFileHandler('app.log', maxBytes=10000, backupCount=1)
+handler.setLevel(logging.INFO)
+app.logger.addHandler(handler)
+
 @app.route('/')
 def index():
     try:
+        app.logger.info("Fetching initial market data")
         initial_data = fetch_market_data()
         states = sorted(initial_data['state'].dropna().unique()) if not initial_data.empty else []
     except Exception as e:
-        print(f"Error fetching initial data: {str(e)}")
+        app.logger.error(f"Error fetching initial data: {str(e)}")
         states = []
     
     try:
+        app.logger.info("Rendering index template")
         return render_template('index.html', 
-                           states=states,
-                           today=datetime.today().strftime('%Y-%m-%d'))
+                               states=states,
+                               today=datetime.today().strftime('%Y-%m-%d'))
     except Exception as e:
-        print(f"Template rendering error: {str(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")
     state = request.form.get('state')
     district = request.form.get('district')
     market = request.form.get('market')
     commodity = request.form.get('commodity')
     language = request.form.get('language', 'English')  # Default to English
     
-    df = fetch_market_data(state, district, market, commodity)
-    plots = generate_plots(df)
-    # Pass market and commodity to get_ai_insights
-    insights = get_ai_insights(df, state, district, market, commodity, language) if state and district and not df.empty else ""
-    
-    market_table_html = """
-    <div class="table-responsive">
-        <table class="table table-striped table-bordered">
-            <thead>
-                <tr>
-                    <th>State</th>
-                    <th>District</th>
-                    <th>Market</th>
-                    <th>Commodity</th>
-                    <th>Variety</th>
-                    <th>Grade</th>
-                    <th>Arrival Date</th>
-                    <th>Min Price</th>
-                    <th>Max Price</th>
-                    <th>Modal Price</th>
-                </tr>
-            </thead>
-            <tbody>
-    """
-    
-    for _, row in df.iterrows():
-        market_table_html += f"""
-            <tr>
-                <td>{row['state']}</td>
-                <td>{row['district']}</td>
-                <td>{row['market']}</td>
-                <td>{row['commodity']}</td>
-                <td>{row['variety']}</td>
-                <td>{row['grade']}</td>
-                <td>{row['arrival_date']}</td>
-                <td>₹{row['min_price']}</td>
-                <td>₹{row['max_price']}</td>
-                <td>₹{row['modal_price']}</td>
-            </tr>
-        """
-    market_table_html += "</tbody></table></div>"
-
-    cheapest_crops = df.sort_values('modal_price', ascending=True).head(5)
-    cheapest_table_html = """
-    <div class="table-responsive">
-        <table class="table table-sm table-bordered">
-            <thead>
-                <tr>
-                    <th>Commodity</th>
-                    <th>Market</th>
-                    <th>Modal Price</th>
-                </tr>
-            </thead>
-            <tbody>
-    """
-    
-    for _, row in cheapest_crops.iterrows():
-        cheapest_table_html += f"""
-            <tr>
-                <td>{row['commodity']}</td>
-                <td>{row['market']}</td>
-                <td>₹{row['modal_price']}</td>
-            </tr>
-        """
-    cheapest_table_html += "</tbody></table></div>"
-
-    costliest_crops = df.sort_values('modal_price', ascending=False).head(5)
-    costliest_table_html = """
-    <div class="table-responsive">
-        <table class="table table-sm table-bordered">
-            <thead>
-                <tr>
-                    <th>Commodity</th>
-                    <th>Market</th>
-                    <th>Modal Price</th>
-                </tr>
-            </thead>
-            <tbody>
-    """
-    
-    for _, row in costliest_crops.iterrows():
-        costliest_table_html += f"""
-            <tr>
-                <td>{row['commodity']}</td>
-                <td>{row['market']}</td>
-                <td>₹{row['modal_price']}</td>
-            </tr>
-        """
-    costliest_table_html += "</tbody></table></div>"
-
-    market_stats = {
-        'total_commodities': len(df['commodity'].unique()),
-        'avg_modal_price': f"₹{df['modal_price'].mean():.2f}",
-        'price_range': f"₹{df['modal_price'].min():.2f} - ₹{df['modal_price'].max():.2f}",
-        'total_markets': len(df['market'].unique())
-    }
-
-    response = {
-        '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
-    }
-    
-    return jsonify(response)
+    try:
+        df = fetch_market_data(state, district, market, commodity)
+        plots = generate_plots(df)
+        insights = get_ai_insights(df, state, district, market, commodity, language) if state and district and not df.empty else ""
+        
+        app.logger.info("Successfully processed filter_data request")
+        
+        response = {
+            '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
+        }
+        
+        return jsonify(response)
+    except Exception as e:
+        app.logger.error(f"Error processing filter_data request: {str(e)}")
+        return jsonify({'success': False, 'error': str(e)}), 500
 
 @app.route('/get_districts', methods=['POST'])
 def get_districts():