Alwrity calendar generation framework - step 1-3 completed with real database integration

2025-08-24 19:50:37 +05:30
parent 5d8d1cfb73
commit 6c72ef1a68
124 changed files with 30532 additions and 7066 deletions
--- a/backend/debug_step8_ai_response.py
+++ b/backend/debug_step8_ai_response.py
@@ -0,0 +1,118 @@
+#!/usr/bin/env python3
+"""
+Debug script to test AI response parsing in Step 8.
+"""
+
+import asyncio
+import logging
+import sys
+import os
+
+# Add the project root to the Python path
+sys.path.append(os.path.dirname(os.path.abspath(__file__)))
+
+from services.calendar_generation_datasource_framework.prompt_chaining.steps.phase3.step8_daily_content_planning.daily_schedule_generator import DailyScheduleGenerator
+
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s | %(levelname)-8s | %(name)s:%(funcName)s:%(lineno)d - %(message)s',
+    datefmt='%H:%M:%S'
+)
+logger = logging.getLogger(__name__)
+
+async def debug_ai_response_parsing():
+    """Debug AI response parsing in Step 8."""
+    
+    logger.info("🔍 Starting AI Response Parsing Debug")
+    
+    # Create test data
+    test_posting_day = {
+        "day_number": 1,
+        "date": "2025-09-01",
+        "day_name": "monday",
+        "posting_times": ["09:00", "12:00"],
+        "content_count": 2,
+        "week_number": 1
+    }
+    
+    test_weekly_theme = {
+        "title": "Week 1 Theme: AI Implementation",
+        "description": "Focus on AI tools and implementation",
+        "content_angles": ["AI tools", "Implementation guide", "Best practices"]
+    }
+    
+    test_platform_strategies = {
+        "LinkedIn": {"approach": "professional"},
+        "Blog": {"approach": "educational"}
+    }
+    
+    # Test different AI response formats
+    test_responses = [
+        # Format 1: List of recommendations (correct format)
+        [
+            {
+                "type": "Content Creation Opportunity",
+                "title": "AI Implementation Guide",
+                "description": "A comprehensive guide to AI implementation"
+            },
+            {
+                "type": "Content Creation Opportunity", 
+                "title": "AI Tools Overview",
+                "description": "Overview of AI tools for business"
+            }
+        ],
+        
+        # Format 2: Dictionary with recommendations key
+        {
+            "recommendations": [
+                {
+                    "type": "Content Creation Opportunity",
+                    "title": "AI Implementation Guide",
+                    "description": "A comprehensive guide to AI implementation"
+                },
+                {
+                    "type": "Content Creation Opportunity",
+                    "title": "AI Tools Overview", 
+                    "description": "Overview of AI tools for business"
+                }
+            ]
+        },
+        
+        # Format 3: Float (the problematic case)
+        0.95,
+        
+        # Format 4: String
+        "AI Implementation Guide",
+        
+        # Format 5: None
+        None
+    ]
+    
+    generator = DailyScheduleGenerator()
+    
+    for i, test_response in enumerate(test_responses):
+        logger.info(f"🔍 Testing AI response format {i+1}: {type(test_response)} = {test_response}")
+        
+        try:
+            content_pieces = generator._parse_content_response(
+                ai_response=test_response,
+                posting_day=test_posting_day,
+                weekly_theme=test_weekly_theme,
+                platform_strategies=test_platform_strategies
+            )
+            
+            logger.info(f"✅ Format {i+1} parsed successfully: {len(content_pieces)} content pieces")
+            for j, piece in enumerate(content_pieces):
+                logger.info(f"  Piece {j+1}: {piece.get('title', 'No title')}")
+                
+        except Exception as e:
+            logger.error(f"❌ Format {i+1} failed: {str(e)}")
+            logger.error(f"📋 Error type: {type(e)}")
+            import traceback
+            logger.error(f"📋 Traceback: {traceback.format_exc()}")
+    
+    logger.info("🎉 AI Response Parsing Debug completed!")
+
+if __name__ == "__main__":
+    asyncio.run(debug_ai_response_parsing())