"""
Content Performance Analyzer Agent

Analyzes content performance across platforms, providing insights
on engagement, reach, and optimization opportunities.
"""

from typing import Any, Dict, List
from agents.base import BaseAgent


class ContentPerformanceAnalyzerAgent(BaseAgent):
    """
    Analyzes content performance metrics.

    Features:
    - Multi-platform analytics
    - Engagement metrics tracking
    - Trend identification
    - Performance comparison
    - Optimization recommendations
    - ROI analysis
    """

    def __init__(self):
        super().__init__(
            name='content-performance-analyzer',
            description='Analyze content performance and engagement',
            category='creative',
            version='1.0.0',
            tags=['analytics', 'performance', 'engagement', 'metrics', 'insights']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Analyze content performance.

        Args:
            params: {
                'content_id': str,
                'platforms': List[str],
                'time_period': str,
                'metrics': List[str],
                'options': {
                    'compare_to_baseline': bool,
                    'identify_trends': bool,
                    'provide_recommendations': bool
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'performance_summary': Dict,
                'platform_breakdown': Dict,
                'trends': List[Dict],
                'recommendations': List[str]
            }
        """
        content_id = params.get('content_id')
        platforms = params.get('platforms', [])
        time_period = params.get('time_period', '30d')
        metrics = params.get('metrics', ['all'])
        options = params.get('options', {})

        self.logger.info(
            f"Analyzing performance for content: {content_id}"
        )

        # Mock performance analysis
        performance_summary = {
            'total_reach': 125_000,
            'total_impressions': 450_000,
            'total_engagement': 15_750,
            'engagement_rate': 3.5,  # percentage
            'click_through_rate': 2.1,
            'conversion_rate': 0.8,
            'total_conversions': 1_000,
            'roi': 3.2,  # 320% return
            'performance_score': 8.2  # out of 10
        }

        platform_breakdown = {
            'twitter': {
                'impressions': 85_000,
                'engagements': 4_250,
                'engagement_rate': 5.0,
                'retweets': 420,
                'likes': 2_800,
                'replies': 380,
                'clicks': 1_650,
                'ctr': 1.9,
                'top_performing_time': 'Tuesday 12:00 PM',
                'performance_vs_average': '+35%'
            },
            'linkedin': {
                'impressions': 42_000,
                'engagements': 2_520,
                'engagement_rate': 6.0,
                'likes': 1_800,
                'comments': 320,
                'shares': 400,
                'clicks': 980,
                'ctr': 2.3,
                'top_performing_time': 'Wednesday 9:00 AM',
                'performance_vs_average': '+42%'
            },
            'instagram': {
                'impressions': 125_000,
                'engagements': 6_250,
                'engagement_rate': 5.0,
                'likes': 4_800,
                'comments': 650,
                'saves': 800,
                'shares': 380,
                'reach': 98_000,
                'profile_visits': 1_200,
                'top_performing_time': 'Thursday 7:00 PM',
                'performance_vs_average': '+28%'
            },
            'youtube': {
                'views': 28_500,
                'watch_time': '1,425 hours',
                'average_view_duration': '3:45',
                'likes': 1_850,
                'comments': 240,
                'shares': 180,
                'subscribers_gained': 450,
                'ctr': 8.2,
                'engagement_rate': 7.8,
                'top_performing_day': 'Saturday',
                'performance_vs_average': '+52%'
            },
            'facebook': {
                'impressions': 68_000,
                'engagements': 2_380,
                'engagement_rate': 3.5,
                'reactions': 1_650,
                'comments': 420,
                'shares': 310,
                'clicks': 1_240,
                'reach': 52_000,
                'top_performing_time': 'Wednesday 1:00 PM',
                'performance_vs_average': '+18%'
            }
        }

        trends = [
            {
                'trend': 'Increasing Engagement',
                'description': 'Engagement rate up 25% over last month',
                'impact': 'positive',
                'recommendation': 'Continue current content strategy'
            },
            {
                'trend': 'Video Content Outperforming',
                'description': 'Video posts get 3x more engagement than images',
                'impact': 'positive',
                'recommendation': 'Increase video content production'
            },
            {
                'trend': 'Evening Posts Perform Better',
                'description': 'Posts between 6-9 PM get 40% more engagement',
                'impact': 'neutral',
                'recommendation': 'Adjust posting schedule to evening hours'
            },
            {
                'trend': 'LinkedIn Showing Strong Growth',
                'description': 'LinkedIn engagement up 42% this period',
                'impact': 'positive',
                'recommendation': 'Allocate more resources to LinkedIn content'
            }
        ]

        content_type_performance = {
            'video': {
                'avg_engagement_rate': 6.5,
                'avg_reach': 45_000,
                'roi': 4.2,
                'performance': 'excellent'
            },
            'image': {
                'avg_engagement_rate': 4.2,
                'avg_reach': 28_000,
                'roi': 2.8,
                'performance': 'good'
            },
            'text': {
                'avg_engagement_rate': 2.8,
                'avg_reach': 18_000,
                'roi': 1.9,
                'performance': 'average'
            },
            'carousel': {
                'avg_engagement_rate': 5.8,
                'avg_reach': 38_000,
                'roi': 3.5,
                'performance': 'very_good'
            },
            'live': {
                'avg_engagement_rate': 8.2,
                'avg_reach': 52_000,
                'roi': 5.1,
                'performance': 'excellent'
            }
        }

        audience_insights = {
            'demographics': {
                'age_groups': {
                    '18-24': 15,
                    '25-34': 42,
                    '35-44': 28,
                    '45-54': 12,
                    '55+': 3
                },
                'gender': {
                    'male': 58,
                    'female': 40,
                    'other': 2
                },
                'top_locations': [
                    {'city': 'New York', 'percentage': 18},
                    {'city': 'Los Angeles', 'percentage': 12},
                    {'city': 'San Francisco', 'percentage': 10}
                ]
            },
            'behavior': {
                'peak_activity_times': ['12:00 PM', '6:00 PM', '9:00 PM'],
                'avg_session_duration': '4:32',
                'pages_per_session': 3.2,
                'device_usage': {
                    'mobile': 68,
                    'desktop': 28,
                    'tablet': 4
                }
            }
        }

        return {
            'status': 'success',
            'content_id': content_id,
            'time_period': time_period,
            'performance_summary': performance_summary,
            'platform_breakdown': platform_breakdown,
            'trends': trends,
            'content_type_performance': content_type_performance,
            'audience_insights': audience_insights,
            'recommendations': [
                'Increase video content production - 3x better engagement',
                'Focus more resources on LinkedIn - showing 42% growth',
                'Schedule posts between 6-9 PM for optimal engagement',
                'Experiment with more carousel posts - high ROI',
                'Reduce text-only posts - underperforming',
                'Consider live streaming - highest engagement rate',
                'Optimize content for mobile - 68% of traffic',
                'Target 25-34 age demographic - largest audience segment',
                'Increase posting frequency on Instagram - strong performance',
                'A/B test different headlines and thumbnails'
            ],
            'competitive_benchmarks': {
                'your_performance': {
                    'engagement_rate': 3.5,
                    'reach': 125_000,
                    'roi': 3.2
                },
                'industry_average': {
                    'engagement_rate': 2.8,
                    'reach': 85_000,
                    'roi': 2.1
                },
                'top_performers': {
                    'engagement_rate': 5.2,
                    'reach': 250_000,
                    'roi': 4.8
                },
                'your_ranking': 'Above average, room for improvement'
            },
            'optimization_opportunities': [
                {
                    'area': 'Posting Schedule',
                    'current': 'Random times',
                    'recommended': '6-9 PM peak times',
                    'potential_improvement': '+40% engagement'
                },
                {
                    'area': 'Content Mix',
                    'current': '40% text, 60% visual',
                    'recommended': '20% text, 80% visual (focus on video)',
                    'potential_improvement': '+35% engagement'
                },
                {
                    'area': 'Platform Focus',
                    'current': 'Equal distribution',
                    'recommended': 'Prioritize LinkedIn, Instagram, YouTube',
                    'potential_improvement': '+28% ROI'
                }
            ],
            'goals_progress': {
                'reach_goal': {
                    'target': 150_000,
                    'current': 125_000,
                    'progress': 83,
                    'status': 'on_track'
                },
                'engagement_goal': {
                    'target': 20_000,
                    'current': 15_750,
                    'progress': 79,
                    'status': 'on_track'
                },
                'conversion_goal': {
                    'target': 1_200,
                    'current': 1_000,
                    'progress': 83,
                    'status': 'on_track'
                }
            },
            'next_steps': [
                'Implement recommended posting schedule',
                'Create more video content',
                'Increase LinkedIn posting frequency',
                'Test carousel format on Instagram',
                'Analyze top-performing posts for patterns',
                'Adjust content strategy based on trends',
                'Set up A/B tests for optimization',
                'Monitor competitor activities',
                'Review and update content calendar',
                'Schedule monthly performance reviews'
            ]
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate content performance analysis parameters."""
        if 'content_id' not in params:
            self.logger.error("Missing required field: content_id")
            return False

        return True
