Improve prompt: force data-specific responses, add context logging

app.py

@@ -409,31 +409,42 @@ def build_llm_prompt(query: str, context: Dict, history: List[Dict] = None) -> s
     # Combine into full prompt
     context_str = "\n\n".join(context_parts)
     
-    prompt = f"""You are AGROW AI, an expert agricultural advisor for Indian farmers.
+    # Log context for debugging
+    logger.info(f"Context sections: {len(context_parts)}")
+    for i, part in enumerate(context_parts[:2]):  # Log first 2 sections
+        logger.info(f"Context[{i}]: {part[:100]}...")
+    
+    prompt = f"""You are AGROW AI, an expert agricultural advisor analyzing REAL satellite data for an Indian farmer's field.
+
+# CRITICAL INSTRUCTION
+You MUST analyze the ACTUAL data provided below. DO NOT give generic farming advice.
+ALWAYS cite specific values from the analysis (e.g., "Your NDVI of 0.65 indicates...").
 
-# RESPONSE STYLE FOR THIS USER
-{persona.get('description', '')}
-- Style: {persona.get('style', '')}
-- Format: {persona.get('format', '')}
-- Focus: {persona.get('focus', '')}
-- Tone: {persona.get('tone', '')}
-- Recommendations: {persona.get('recommendations', '')}
+# FARMER PROFILE
+{persona.get('description', 'Experienced farmer')}
+Response Style: {persona.get('style', 'Practical')}
+Tone: {persona.get('tone', 'Friendly')}
+Focus: {persona.get('focus', 'Actionable advice')}
 
-# FIELD ANALYSIS DATA
+# SATELLITE & FIELD DATA (ACTUAL VALUES FROM TODAY'S ANALYSIS)
 {context_str}
 {history_text}
 
-# USER QUERY
+# USER'S QUESTION
 {query}
 
-# INSTRUCTIONS
-1. Analyze the satellite data thoroughly
-2. Provide actionable recommendations matching the user's persona
-3. Reference specific data values when relevant
-4. Be concise but comprehensive
-5. Prioritize urgent issues first
+# RESPONSE REQUIREMENTS
+1. START by acknowledging the specific field and crop being analyzed
+2. CITE exact values from the data (NDVI, moisture levels, stress scores)
+3. EXPLAIN what these values mean for THIS specific crop
+4. PROVIDE 2-3 actionable recommendations based on the data
+5. If any stress zones detected, address them FIRST
+6. Keep response under 300 words
+7. Use simple language the farmer understands
+
+IMPORTANT: Your response MUST reference at least 3 specific data points from the analysis above.
 
-Provide your response:"""
+Provide your analysis:"""
 
     return prompt