Base code
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Kunthawat Greethong
175
backend/test/debug_step8.py
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175
backend/test/debug_step8.py
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#!/usr/bin/env python3
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"""
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Debug script for Step 8 (Daily Content Planning) to isolate data type issues.
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"""
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import asyncio
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import logging
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import sys
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import os
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# Add the project root to the Python path
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from services.calendar_generation_datasource_framework.prompt_chaining.steps.phase3.step8_daily_content_planning.daily_schedule_generator import DailyScheduleGenerator
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s | %(levelname)-8s | %(name)s:%(funcName)s:%(lineno)d - %(message)s',
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datefmt='%H:%M:%S'
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)
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logger = logging.getLogger(__name__)
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async def debug_step8():
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"""Debug Step 8 with controlled test data."""
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logger.info("🔍 Starting Step 8 Debug Session")
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# Create test data with known types
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test_weekly_themes = [
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{
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"title": "Week 1 Theme: AI Implementation",
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"description": "Focus on AI tools and implementation",
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"primary_pillar": "AI and Machine Learning",
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"content_angles": ["AI tools", "Implementation guide", "Best practices"],
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"target_platforms": ["LinkedIn", "Blog", "Twitter"],
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"strategic_alignment": "High alignment with business goals",
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"gap_addressal": "Addresses AI implementation gap",
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"priority": "high",
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"estimated_impact": "High",
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"ai_confidence": 0.9,
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"week_number": 1
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},
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{
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"title": "Week 2 Theme: Digital Transformation",
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"description": "Digital transformation strategies",
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"primary_pillar": "Digital Transformation",
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"content_angles": ["Strategy", "Case studies", "ROI"],
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"target_platforms": ["LinkedIn", "Blog", "YouTube"],
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"strategic_alignment": "Medium alignment with business goals",
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"gap_addressal": "Addresses transformation gap",
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"priority": "medium",
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"estimated_impact": "Medium",
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"ai_confidence": 0.8,
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"week_number": 2
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}
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]
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test_platform_strategies = {
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"LinkedIn": {
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"content_type": "professional",
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"posting_frequency": "daily",
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"engagement_strategy": "thought_leadership"
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},
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"Blog": {
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"content_type": "educational",
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"posting_frequency": "weekly",
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"engagement_strategy": "seo_optimized"
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},
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"Twitter": {
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"content_type": "conversational",
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"posting_frequency": "daily",
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"engagement_strategy": "community_building"
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}
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}
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test_content_pillars = [
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{
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"name": "AI and Machine Learning",
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"weight": 0.4,
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"description": "AI tools and implementation"
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},
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{
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"name": "Digital Transformation",
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"weight": 0.3,
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"description": "Digital strategy and transformation"
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},
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{
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"name": "Business Strategy",
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"weight": 0.3,
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"description": "Strategic business insights"
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}
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]
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test_calendar_framework = {
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"type": "monthly",
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"total_weeks": 4,
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"posting_frequency": "daily",
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"posting_days": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
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"industry": "technology",
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"business_size": "sme"
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}
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test_posting_preferences = {
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"preferred_times": ["09:00", "12:00", "15:00"],
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"posting_frequency": "daily",
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"content_count_per_day": 2
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}
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test_business_goals = [
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"Increase brand awareness by 40%",
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"Generate 500 qualified leads per month",
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"Establish thought leadership"
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]
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test_target_audience = {
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"primary": "Tech professionals",
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"secondary": "Business leaders",
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"demographics": {
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"age_range": "25-45",
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"location": "Global"
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}
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}
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# Test data type validation
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logger.info("🔍 Validating test data types:")
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logger.info(f" weekly_themes: {type(test_weekly_themes)} (length: {len(test_weekly_themes)})")
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logger.info(f" platform_strategies: {type(test_platform_strategies)}")
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logger.info(f" content_pillars: {type(test_content_pillars)}")
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logger.info(f" calendar_framework: {type(test_calendar_framework)}")
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logger.info(f" posting_preferences: {type(test_posting_preferences)}")
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logger.info(f" business_goals: {type(test_business_goals)}")
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logger.info(f" target_audience: {type(test_target_audience)}")
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# Validate weekly themes structure
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for i, theme in enumerate(test_weekly_themes):
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logger.info(f" Theme {i+1}: {type(theme)} - keys: {list(theme.keys())}")
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if not isinstance(theme, dict):
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logger.error(f"❌ Theme {i+1} is not a dictionary: {type(theme)}")
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return
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try:
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# Initialize the daily schedule generator
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generator = DailyScheduleGenerator()
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logger.info("✅ DailyScheduleGenerator initialized successfully")
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# Test the generate_daily_schedules method
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logger.info("🚀 Testing generate_daily_schedules method...")
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daily_schedules = await generator.generate_daily_schedules(
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weekly_themes=test_weekly_themes,
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platform_strategies=test_platform_strategies,
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business_goals=test_business_goals,
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target_audience=test_target_audience,
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posting_preferences=test_posting_preferences,
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calendar_duration=28 # 4 weeks * 7 days
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)
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logger.info(f"✅ Successfully generated {len(daily_schedules)} daily schedules")
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# Log first few schedules for inspection
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for i, schedule in enumerate(daily_schedules[:3]):
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logger.info(f" Schedule {i+1}: {type(schedule)} - keys: {list(schedule.keys())}")
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except Exception as e:
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logger.error(f"❌ Error in Step 8 debug: {str(e)}")
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logger.error(f"📋 Error type: {type(e)}")
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import traceback
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logger.error(f"📋 Traceback: {traceback.format_exc()}")
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return
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logger.info("🎉 Step 8 debug completed successfully!")
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if __name__ == "__main__":
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asyncio.run(debug_step8())
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