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Recovered state: integrated TrendSurferAgent, restored frontend/backend files, and cleaned up recovery scripts

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ajaysi
2026-02-08 13:56:57 +05:30
parent 1db10ccd0f
commit e404a86502
333 changed files with 42223 additions and 10875 deletions
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32
backend/api/content_planning/services/ai_analytics_service.py
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@@ -13,7 +13,8 @@ import time
from services.content_planning_db import ContentPlanningDBService
from services.ai_analysis_db_service import AIAnalysisDBService
from services.ai_analytics_service import AIAnalyticsService
from services.onboarding.data_service import OnboardingDataService
from services.database import SessionLocal
from api.content_planning.services.content_strategy.onboarding import OnboardingDataIntegrationService
# Import utilities
from ..utils.error_handlers import ContentPlanningErrorHandler
@@ -26,15 +27,16 @@ class ContentPlanningAIAnalyticsService:
def __init__(self):
self.ai_analysis_db_service = AIAnalysisDBService()
self.ai_analytics_service = AIAnalyticsService()
self.onboarding_service = OnboardingDataService()
self.onboarding_integration_service = OnboardingDataIntegrationService()
async def analyze_content_evolution(self, strategy_id: int, time_period: str = "30d") -> Dict[str, Any]:
async def analyze_content_evolution(self, user_id: int, strategy_id: int, time_period: str = "30d") -> Dict[str, Any]:
"""Analyze content evolution over time for a specific strategy."""
try:
logger.info(f"Starting content evolution analysis for strategy {strategy_id}")
logger.info(f"Starting content evolution analysis for strategy {strategy_id} (user {user_id})")
# Perform content evolution analysis
evolution_analysis = await self.ai_analytics_service.analyze_content_evolution(
user_id=user_id,
strategy_id=strategy_id,
time_period=time_period
)
@@ -55,13 +57,14 @@ class ContentPlanningAIAnalyticsService:
logger.error(f"Error analyzing content evolution: {str(e)}")
raise ContentPlanningErrorHandler.handle_general_error(e, "analyze_content_evolution")
async def analyze_performance_trends(self, strategy_id: int, metrics: Optional[List[str]] = None) -> Dict[str, Any]:
async def analyze_performance_trends(self, user_id: int, strategy_id: int, metrics: Optional[List[str]] = None) -> Dict[str, Any]:
"""Analyze performance trends for content strategy."""
try:
logger.info(f"Starting performance trends analysis for strategy {strategy_id}")
logger.info(f"Starting performance trends analysis for strategy {strategy_id} (user {user_id})")
# Perform performance trends analysis
trends_analysis = await self.ai_analytics_service.analyze_performance_trends(
user_id=user_id,
strategy_id=strategy_id,
metrics=metrics
)
@@ -191,24 +194,31 @@ class ContentPlanningAIAnalyticsService:
# 🚨 CRITICAL: Always run fresh AI analysis for refresh operations
logger.info(f"🔄 Running FRESH AI analysis for user {current_user_id} (force_refresh: {force_refresh})")
# Get personalized inputs from onboarding data
personalized_inputs = self.onboarding_service.get_personalized_ai_inputs(current_user_id)
# Get personalized inputs from onboarding data (SSOT)
db = SessionLocal()
try:
personalized_inputs = await self.onboarding_integration_service.process_onboarding_data(str(current_user_id), db)
finally:
db.close()
logger.info(f"📊 Using personalized inputs: {len(personalized_inputs)} data points")
# Generate real AI insights using personalized data
logger.info("🔍 Generating performance analysis...")
performance_analysis = await self.ai_analytics_service.analyze_performance_trends(
user_id=current_user_id,
strategy_id=strategy_id or 1
)
logger.info("🧠 Generating strategic intelligence...")
strategic_intelligence = await self.ai_analytics_service.generate_strategic_intelligence(
user_id=current_user_id,
strategy_id=strategy_id or 1
)
logger.info("📈 Analyzing content evolution...")
evolution_analysis = await self.ai_analytics_service.analyze_content_evolution(
user_id=current_user_id,
strategy_id=strategy_id or 1
)
@@ -255,9 +265,9 @@ class ContentPlanningAIAnalyticsService:
"data_source": "ai_analysis",
"user_profile": {
"website_url": personalized_inputs.get('website_analysis', {}).get('website_url', ''),
"content_types": personalized_inputs.get('website_analysis', {}).get('content_types', []),
"target_audience": personalized_inputs.get('website_analysis', {}).get('target_audience', []),
"industry_focus": personalized_inputs.get('website_analysis', {}).get('industry_focus', 'general')
"content_types": personalized_inputs.get('canonical_profile', {}).get('content_types', []),
"target_audience": personalized_inputs.get('canonical_profile', {}).get('target_audience', []),
"industry_focus": personalized_inputs.get('canonical_profile', {}).get('industry', 'general')
}
}