Files
ALwrity/backend/services/persona/facebook/facebook_persona_service.py

454 lines
22 KiB
Python

"""
Facebook Persona Service
Encapsulates Facebook-specific persona generation logic.
"""
from typing import Dict, Any, Optional
from loguru import logger
from datetime import datetime
from .facebook_persona_schemas import (
FacebookPersonaSchema,
FacebookPersonaConstraints,
FacebookPersonaValidation,
FacebookPersonaOptimization
)
from .facebook_persona_prompts import FacebookPersonaPrompts
from services.llm_providers.gemini_provider import gemini_structured_json_response
class FacebookPersonaService:
"""Facebook-specific persona generation and optimization service."""
_instance = None
_initialized = False
def __new__(cls):
"""Implement singleton pattern to prevent multiple initializations."""
if cls._instance is None:
cls._instance = super(FacebookPersonaService, cls).__new__(cls)
return cls._instance
def __init__(self):
"""Initialize the Facebook persona service (only once)."""
if not self._initialized:
self.schemas = FacebookPersonaSchema
self.constraints = FacebookPersonaConstraints()
self.validation = FacebookPersonaValidation()
self.optimization = FacebookPersonaOptimization()
self.prompts = FacebookPersonaPrompts()
logger.debug("FacebookPersonaService initialized")
self._initialized = True
def generate_facebook_persona(self, core_persona: Dict[str, Any], onboarding_data: Dict[str, Any]) -> Dict[str, Any]:
"""
Generate Facebook-specific persona adaptation using optimized chained prompts.
Args:
core_persona: The core persona data
onboarding_data: User onboarding data
Returns:
Facebook-optimized persona data
"""
try:
logger.info("Generating Facebook-specific persona with optimized prompts")
# Build focused Facebook prompt (without core persona JSON)
prompt = self.prompts.build_focused_facebook_prompt(onboarding_data)
# Create system prompt with core persona
system_prompt = self.prompts.build_facebook_system_prompt(core_persona)
# Get Facebook-specific schema
schema = self._get_enhanced_facebook_schema()
# Extract user_id for tracking
user_id = onboarding_data.get("session_info", {}).get("user_id")
# Generate structured response using Gemini with optimized prompts
response = gemini_structured_json_response(
prompt=prompt,
schema=schema,
temperature=0.2,
max_tokens=4096,
system_prompt=system_prompt,
user_id=user_id
)
if not response or "error" in response:
logger.error(f"Failed to generate Facebook persona: {response}")
return {"error": f"Failed to generate Facebook persona: {response}"}
# Validate the generated persona
validation_results = self.validate_facebook_persona(response)
# Apply algorithm optimization
optimized_persona = self.optimize_for_facebook_algorithm(response)
# Add validation results to the persona
optimized_persona["validation_results"] = validation_results
logger.info(f"✅ Facebook persona generated successfully with {validation_results['quality_score']:.1f}% quality score")
return optimized_persona
except Exception as e:
logger.error(f"Error generating Facebook persona: {str(e)}")
return {"error": f"Failed to generate Facebook persona: {str(e)}"}
def get_facebook_constraints(self) -> Dict[str, Any]:
"""Get Facebook-specific platform constraints."""
return self.constraints.get_facebook_constraints()
def validate_facebook_persona(self, persona_data: Dict[str, Any]) -> Dict[str, Any]:
"""
Validate Facebook persona data for completeness and quality.
Args:
persona_data: Facebook persona data to validate
Returns:
Validation results with scores and recommendations
"""
try:
logger.info("Validating Facebook persona data")
# Use the validation class
validation_results = self.validation.validate_facebook_persona(persona_data)
# Initialize missing fields if they don't exist
if "content_format_score" not in validation_results:
validation_results["content_format_score"] = 0.0
if "audience_targeting_score" not in validation_results:
validation_results["audience_targeting_score"] = 0.0
if "community_building_score" not in validation_results:
validation_results["community_building_score"] = 0.0
# Add Facebook-specific validation
facebook_opt = persona_data.get("facebook_algorithm_optimization", {})
if facebook_opt:
validation_results["facebook_optimization_score"] = 90.0
validation_results["strengths"].append("Facebook algorithm optimization present")
else:
validation_results["quality_issues"].append("Missing Facebook algorithm optimization")
validation_results["recommendations"].append("Add Facebook-specific algorithm strategies")
# Validate engagement strategies
engagement_strategies = persona_data.get("facebook_engagement_strategies", {})
if engagement_strategies:
validation_results["engagement_strategy_score"] = 85.0
validation_results["strengths"].append("Facebook engagement strategies defined")
else:
validation_results["quality_issues"].append("Missing Facebook engagement strategies")
validation_results["recommendations"].append("Define Facebook-specific engagement tactics")
# Validate content formats
content_formats = persona_data.get("facebook_content_formats", {})
if content_formats:
validation_results["content_format_score"] = 80.0
validation_results["strengths"].append("Facebook content formats optimized")
else:
validation_results["quality_issues"].append("Missing Facebook content format optimization")
validation_results["recommendations"].append("Add Facebook-specific content format strategies")
# Validate audience targeting
audience_targeting = persona_data.get("facebook_audience_targeting", {})
if audience_targeting:
validation_results["audience_targeting_score"] = 75.0
validation_results["strengths"].append("Facebook audience targeting strategies present")
else:
validation_results["quality_issues"].append("Missing Facebook audience targeting")
validation_results["recommendations"].append("Add Facebook-specific audience targeting strategies")
# Validate community building
community_building = persona_data.get("facebook_community_building", {})
if community_building:
validation_results["community_building_score"] = 85.0
validation_results["strengths"].append("Facebook community building strategies defined")
else:
validation_results["quality_issues"].append("Missing Facebook community building strategies")
validation_results["recommendations"].append("Add Facebook-specific community building tactics")
# Recalculate overall quality score
validation_results["quality_score"] = (
validation_results["completeness_score"] * 0.2 +
validation_results["facebook_optimization_score"] * 0.25 +
validation_results["engagement_strategy_score"] * 0.2 +
validation_results["content_format_score"] * 0.15 +
validation_results["audience_targeting_score"] * 0.1 +
validation_results["community_building_score"] * 0.1
)
# Add validation timestamp
validation_results["validation_timestamp"] = datetime.utcnow().isoformat()
logger.info(f"Facebook persona validation completed: Quality Score: {validation_results['quality_score']:.1f}%")
return validation_results
except Exception as e:
logger.error(f"Error validating Facebook persona: {str(e)}")
return {
"is_valid": False,
"quality_score": 0.0,
"error": f"Validation failed: {str(e)}"
}
def optimize_for_facebook_algorithm(self, persona_data: Dict[str, Any]) -> Dict[str, Any]:
"""
Optimize Facebook persona data for maximum algorithm performance.
Args:
persona_data: Facebook persona data to optimize
Returns:
Optimized Facebook persona data
"""
try:
logger.info("Optimizing Facebook persona for algorithm performance")
# Get optimization strategies
optimization_strategies = self.optimization.get_facebook_optimization_strategies()
# Apply algorithm optimization
optimized_persona = persona_data.copy()
# Add comprehensive algorithm optimization
optimized_persona["algorithm_optimization"] = {
"engagement_optimization": optimization_strategies["algorithm_optimization"]["engagement_optimization"],
"content_quality_optimization": optimization_strategies["algorithm_optimization"]["content_quality_optimization"],
"timing_optimization": optimization_strategies["algorithm_optimization"]["timing_optimization"],
"audience_targeting_optimization": optimization_strategies["algorithm_optimization"]["audience_targeting_optimization"]
}
# Add engagement strategies
optimized_persona["engagement_strategies"] = {
"community_building": optimization_strategies["engagement_strategies"]["community_building"],
"content_engagement": optimization_strategies["engagement_strategies"]["content_engagement"],
"conversion_optimization": optimization_strategies["engagement_strategies"]["conversion_optimization"]
}
# Add content format optimization
optimized_persona["content_formats"] = optimization_strategies["content_formats"]
# Add audience targeting optimization
optimized_persona["audience_targeting"] = optimization_strategies["audience_targeting"]
# Add community building optimization
optimized_persona["community_building"] = optimization_strategies["community_building"]
# Add optimization metadata
total_strategies = 0
for category_name, category_data in optimization_strategies.items():
if isinstance(category_data, dict):
for strategy_name, strategies in category_data.items():
if isinstance(strategies, list):
total_strategies += len(strategies)
elif isinstance(strategies, dict):
# Handle nested dictionaries
for sub_strategy_name, sub_strategies in strategies.items():
if isinstance(sub_strategies, list):
total_strategies += len(sub_strategies)
else:
total_strategies += 1
else:
total_strategies += 1
elif isinstance(category_data, list):
total_strategies += len(category_data)
else:
total_strategies += 1
optimized_persona["optimization_metadata"] = {
"optimization_applied": True,
"optimization_timestamp": datetime.utcnow().isoformat(),
"optimization_categories": list(optimization_strategies.keys()),
"total_optimization_strategies": total_strategies
}
logger.info("✅ Facebook persona algorithm optimization completed successfully")
return optimized_persona
except Exception as e:
logger.error(f"Error optimizing Facebook persona: {str(e)}")
return persona_data # Return original data if optimization fails
def _get_enhanced_facebook_schema(self) -> Dict[str, Any]:
"""Get enhanced Facebook persona schema for Gemini structured response with improved JSON parsing reliability."""
return {
"type": "object",
"description": "Facebook-optimized persona data structure for community engagement and algorithm optimization",
"properties": {
"persona_name": {
"type": "string",
"description": "Name of the Facebook-optimized persona (e.g., 'Community Builder', 'Social Connector')",
"minLength": 3,
"maxLength": 50
},
"archetype": {
"type": "string",
"description": "Persona archetype for Facebook (e.g., 'The Community Catalyst', 'The Social Storyteller')",
"minLength": 5,
"maxLength": 50
},
"core_belief": {
"type": "string",
"description": "Core belief driving the Facebook persona (e.g., 'Building authentic connections through shared experiences')",
"minLength": 10,
"maxLength": 200
},
"facebook_algorithm_optimization": {
"type": "object",
"description": "Facebook algorithm optimization strategies",
"properties": {
"engagement_optimization": {
"type": "array",
"items": {"type": "string"},
"description": "Strategies for optimizing Facebook engagement (3-8 strategies)",
"minItems": 3,
"maxItems": 8
},
"content_quality_optimization": {
"type": "array",
"items": {"type": "string"},
"description": "Strategies for optimizing content quality on Facebook (3-8 strategies)",
"minItems": 3,
"maxItems": 8
},
"timing_optimization": {
"type": "array",
"items": {"type": "string"},
"description": "Strategies for optimizing posting timing on Facebook (3-8 strategies)",
"minItems": 3,
"maxItems": 8
},
"audience_targeting_optimization": {
"type": "array",
"items": {"type": "string"},
"description": "Strategies for optimizing audience targeting on Facebook (3-8 strategies)",
"minItems": 3,
"maxItems": 8
}
}
},
"facebook_engagement_strategies": {
"type": "object",
"description": "Facebook-specific engagement strategies",
"properties": {
"community_building": {
"type": "array",
"items": {"type": "string"},
"description": "Community building strategies for Facebook"
},
"content_engagement": {
"type": "array",
"items": {"type": "string"},
"description": "Content engagement strategies for Facebook"
},
"conversion_optimization": {
"type": "array",
"items": {"type": "string"},
"description": "Conversion optimization strategies for Facebook"
}
}
},
"facebook_content_formats": {
"type": "object",
"description": "Facebook content format optimizations",
"properties": {
"text_posts": {
"type": "object",
"description": "Text post optimization for Facebook",
"properties": {
"optimal_length": {"type": "string"},
"structure_guidelines": {"type": "array", "items": {"type": "string"}},
"hook_strategies": {"type": "array", "items": {"type": "string"}}
}
},
"image_posts": {
"type": "object",
"description": "Image post optimization for Facebook",
"properties": {
"image_guidelines": {"type": "array", "items": {"type": "string"}},
"caption_strategies": {"type": "array", "items": {"type": "string"}}
}
},
"video_posts": {
"type": "object",
"description": "Video post optimization for Facebook",
"properties": {
"video_length_guidelines": {"type": "array", "items": {"type": "string"}},
"engagement_hooks": {"type": "array", "items": {"type": "string"}}
}
},
"carousel_posts": {
"type": "object",
"description": "Carousel post optimization for Facebook",
"properties": {
"slide_structure": {"type": "array", "items": {"type": "string"}},
"storytelling_flow": {"type": "array", "items": {"type": "string"}}
}
}
}
},
"facebook_audience_targeting": {
"type": "object",
"description": "Facebook audience targeting strategies",
"properties": {
"demographic_targeting": {
"type": "array",
"items": {"type": "string"},
"description": "Demographic targeting strategies for Facebook"
},
"interest_targeting": {
"type": "array",
"items": {"type": "string"},
"description": "Interest targeting strategies for Facebook"
},
"behavioral_targeting": {
"type": "array",
"items": {"type": "string"},
"description": "Behavioral targeting strategies for Facebook"
}
}
},
"facebook_community_building": {
"type": "object",
"description": "Facebook community building strategies",
"properties": {
"group_management": {
"type": "array",
"items": {"type": "string"},
"description": "Facebook Group management strategies"
},
"event_management": {
"type": "array",
"items": {"type": "string"},
"description": "Facebook Event management strategies"
},
"live_streaming": {
"type": "array",
"items": {"type": "string"},
"description": "Facebook Live streaming strategies"
}
}
},
"confidence_score": {
"type": "number",
"description": "Confidence score for the Facebook persona (0-100)",
"minimum": 0,
"maximum": 100
}
},
"required": [
"persona_name",
"archetype",
"core_belief",
"facebook_algorithm_optimization",
"facebook_engagement_strategies",
"confidence_score"
],
"additionalProperties": False
}