"""
Prompt Engineering Service
AI prompt creation and management.
"""

import logging
from typing import Dict, Any

# Import database models
from models.enhanced_strategy_models import EnhancedContentStrategy

logger = logging.getLogger(__name__)

class PromptEngineeringService:
    """Service for prompt engineering."""
    
    def __init__(self):
        pass
    
    def create_specialized_prompt(self, strategy: EnhancedContentStrategy, analysis_type: str) -> str:
        """Create specialized AI prompts for each analysis type."""
        
        base_context = f"""
        Business Context:
        - Industry: {strategy.industry}
        - Business Objectives: {strategy.business_objectives}
        - Target Metrics: {strategy.target_metrics}
        - Content Budget: {strategy.content_budget}
        - Team Size: {strategy.team_size}
        - Implementation Timeline: {strategy.implementation_timeline}
        - Market Share: {strategy.market_share}
        - Competitive Position: {strategy.competitive_position}
        - Performance Metrics: {strategy.performance_metrics}
        
        Audience Intelligence:
        - Content Preferences: {strategy.content_preferences}
        - Consumption Patterns: {strategy.consumption_patterns}
        - Audience Pain Points: {strategy.audience_pain_points}
        - Buying Journey: {strategy.buying_journey}
        - Seasonal Trends: {strategy.seasonal_trends}
        - Engagement Metrics: {strategy.engagement_metrics}
        
        Competitive Intelligence:
        - Top Competitors: {strategy.top_competitors}
        - Competitor Content Strategies: {strategy.competitor_content_strategies}
        - Market Gaps: {strategy.market_gaps}
        - Industry Trends: {strategy.industry_trends}
        - Emerging Trends: {strategy.emerging_trends}
        
        Content Strategy:
        - Preferred Formats: {strategy.preferred_formats}
        - Content Mix: {strategy.content_mix}
        - Content Frequency: {strategy.content_frequency}
        - Optimal Timing: {strategy.optimal_timing}
        - Quality Metrics: {strategy.quality_metrics}
        - Editorial Guidelines: {strategy.editorial_guidelines}
        - Brand Voice: {strategy.brand_voice}
        
        Performance & Analytics:
        - Traffic Sources: {strategy.traffic_sources}
        - Conversion Rates: {strategy.conversion_rates}
        - Content ROI Targets: {strategy.content_roi_targets}
        - A/B Testing Capabilities: {strategy.ab_testing_capabilities}
        """
        
        specialized_prompts = {
            'comprehensive_strategy': f"""
            {base_context}
            
            TASK: Generate a comprehensive content strategy analysis that provides:
            1. Strategic positioning and market analysis
            2. Audience targeting and persona development
            3. Content pillar recommendations with rationale
            4. Competitive advantage identification
            5. Performance optimization strategies
            6. Risk assessment and mitigation plans
            7. Implementation roadmap with milestones
            8. Success metrics and KPIs
            
            REQUIREMENTS:
            - Provide actionable, specific recommendations
            - Include data-driven insights
            - Consider industry best practices
            - Address both short-term and long-term goals
            - Provide confidence levels for each recommendation
            """,
            
            'audience_intelligence': f"""
            {base_context}
            
            TASK: Generate detailed audience intelligence analysis including:
            1. Comprehensive audience persona development
            2. Content preference analysis and recommendations
            3. Consumption pattern insights and optimization
            4. Pain point identification and content solutions
            5. Buying journey mapping and content alignment
            6. Seasonal trend analysis and content planning
            7. Engagement pattern analysis and optimization
            8. Audience segmentation strategies
            
            REQUIREMENTS:
            - Use data-driven insights from provided metrics
            - Provide specific content recommendations for each audience segment
            - Include engagement optimization strategies
            - Consider cultural and behavioral factors
            """,
            
            'competitive_intelligence': f"""
            {base_context}
            
            TASK: Generate comprehensive competitive intelligence analysis including:
            1. Competitor content strategy analysis
            2. Market gap identification and opportunities
            3. Competitive advantage development strategies
            4. Industry trend analysis and implications
            5. Emerging trend identification and early adoption strategies
            6. Competitive positioning recommendations
            7. Market opportunity assessment
            8. Competitive response strategies
            
            REQUIREMENTS:
            - Analyze provided competitor data thoroughly
            - Identify unique market opportunities
            - Provide actionable competitive strategies
            - Consider both direct and indirect competitors
            """,
            
            'performance_optimization': f"""
            {base_context}
            
            TASK: Generate performance optimization analysis including:
            1. Current performance analysis and benchmarking
            2. Traffic source optimization strategies
            3. Conversion rate improvement recommendations
            4. Content ROI optimization strategies
            5. A/B testing framework and recommendations
            6. Performance monitoring and analytics setup
            7. Optimization roadmap and priorities
            8. Success metrics and tracking implementation
            
            REQUIREMENTS:
            - Provide specific, measurable optimization strategies
            - Include data-driven recommendations
            - Consider both technical and content optimizations
            - Provide implementation timelines and priorities
            """,
            
            'content_calendar_optimization': f"""
            {base_context}
            
            TASK: Generate content calendar optimization analysis including:
            1. Optimal content frequency and timing analysis
            2. Content mix optimization and balance
            3. Seasonal content planning and scheduling
            4. Content pillar integration and scheduling
            5. Platform-specific content adaptation
            6. Content repurposing and amplification strategies
            7. Editorial calendar optimization
            8. Content performance tracking and adjustment
            
            REQUIREMENTS:
            - Provide specific scheduling recommendations
            - Include content mix optimization strategies
            - Consider platform-specific requirements
            - Provide seasonal and trend-based planning
            """
        }
        
        return specialized_prompts.get(analysis_type, base_context) 