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

This commit is contained in:
ajaysi
2026-02-08 13:56:57 +05:30
parent 1db10ccd0f
commit e404a86502
333 changed files with 42223 additions and 10875 deletions

View File

@@ -75,27 +75,27 @@ class AIStrategyGenerator:
base_strategy = await self._generate_base_strategy_fields(user_id, context)
# Step 2: Generate strategic insights and recommendations
strategic_insights = await self._generate_strategic_insights(base_strategy, context)
strategic_insights = await self._generate_strategic_insights(base_strategy, context, user_id=user_id)
if strategic_insights.get("ai_generation_failed"):
failed_components.append("strategic_insights")
# Step 3: Generate competitive analysis
competitive_analysis = await self._generate_competitive_analysis(base_strategy, context)
competitive_analysis = await self._generate_competitive_analysis(base_strategy, context, user_id=user_id)
if competitive_analysis.get("ai_generation_failed"):
failed_components.append("competitive_analysis")
# Step 4: Generate performance predictions
performance_predictions = await self._generate_performance_predictions(base_strategy, context)
performance_predictions = await self._generate_performance_predictions(base_strategy, context, user_id=user_id)
if performance_predictions.get("ai_generation_failed"):
failed_components.append("performance_predictions")
# Step 5: Generate implementation roadmap
implementation_roadmap = await self._generate_implementation_roadmap(base_strategy, context)
implementation_roadmap = await self._generate_implementation_roadmap(base_strategy, context, user_id=user_id)
if implementation_roadmap.get("ai_generation_failed"):
failed_components.append("implementation_roadmap")
# Step 6: Generate risk assessment
risk_assessment = await self._generate_risk_assessment(base_strategy, context)
risk_assessment = await self._generate_risk_assessment(base_strategy, context, user_id=user_id)
if risk_assessment.get("ai_generation_failed"):
failed_components.append("risk_assessment")
@@ -169,7 +169,7 @@ class AIStrategyGenerator:
self.logger.error(f"Error generating base strategy fields: {str(e)}")
raise
async def _generate_strategic_insights(self, base_strategy: Dict[str, Any], context: Dict[str, Any], ai_manager: Optional[Any] = None) -> Dict[str, Any]:
async def _generate_strategic_insights(self, base_strategy: Dict[str, Any], context: Dict[str, Any], user_id: Optional[int] = None, ai_manager: Optional[Any] = None) -> Dict[str, Any]:
"""Generate strategic insights using AI."""
try:
logger.info("🧠 Generating strategic insights...")
@@ -222,7 +222,8 @@ class AIStrategyGenerator:
response = await ai_manager.execute_structured_json_call(
AIServiceType.STRATEGIC_INTELLIGENCE,
prompt,
schema
schema,
user_id=str(user_id) if user_id else None
)
if not response or not response.get("data"):
@@ -306,7 +307,8 @@ class AIStrategyGenerator:
response = await ai_manager.execute_structured_json_call(
AIServiceType.MARKET_POSITION_ANALYSIS,
prompt,
schema
schema,
user_id=str(user_id) if user_id else None
)
if not response or not response.get("data"):
@@ -339,7 +341,7 @@ class AIStrategyGenerator:
"failure_reason": str(e)
}
async def _generate_content_calendar(self, base_strategy: Dict[str, Any], context: Dict[str, Any], ai_manager: Optional[Any] = None) -> Dict[str, Any]:
async def _generate_content_calendar(self, base_strategy: Dict[str, Any], context: Dict[str, Any], user_id: Optional[int] = None, ai_manager: Optional[Any] = None) -> Dict[str, Any]:
"""Generate content calendar using AI."""
try:
logger.info("📅 Generating content calendar...")
@@ -442,7 +444,8 @@ class AIStrategyGenerator:
response = await ai_manager.execute_structured_json_call(
AIServiceType.CONTENT_SCHEDULE_GENERATION,
prompt,
schema
schema,
user_id=str(user_id) if user_id else None
)
if not response or not response.get("data"):
@@ -455,7 +458,7 @@ class AIStrategyGenerator:
logger.error(f"❌ Error generating content calendar: {str(e)}")
raise RuntimeError(f"Failed to generate content calendar: {str(e)}")
async def _generate_performance_predictions(self, base_strategy: Dict[str, Any], context: Dict[str, Any], ai_manager: Optional[Any] = None) -> Dict[str, Any]:
async def _generate_performance_predictions(self, base_strategy: Dict[str, Any], context: Dict[str, Any], user_id: Optional[int] = None, ai_manager: Optional[Any] = None) -> Dict[str, Any]:
"""Generate performance predictions using AI."""
try:
logger.info("📊 Generating performance predictions...")
@@ -525,7 +528,8 @@ class AIStrategyGenerator:
response = await ai_manager.execute_structured_json_call(
AIServiceType.PERFORMANCE_PREDICTION,
prompt,
schema
schema,
user_id=str(user_id) if user_id else None
)
if not response or not response.get("data"):
@@ -551,7 +555,7 @@ class AIStrategyGenerator:
"failure_reason": str(e)
}
async def _generate_implementation_roadmap(self, base_strategy: Dict[str, Any], context: Dict[str, Any], ai_manager: Optional[Any] = None) -> Dict[str, Any]:
async def _generate_implementation_roadmap(self, base_strategy: Dict[str, Any], context: Dict[str, Any], user_id: Optional[int] = None, ai_manager: Optional[Any] = None) -> Dict[str, Any]:
"""Generate implementation roadmap using AI."""
try:
logger.info("🗺️ Generating implementation roadmap...")