"""
Step 9: Content Recommendations - Real Implementation

This step generates comprehensive content recommendations with modular architecture.
It ensures AI-powered content generation, keyword optimization, gap analysis, performance prediction, and quality metrics.
"""

from typing import Dict, Any, List, Optional
from loguru import logger

# Import the main Step 9 implementation
from .step9_content_recommendations.step9_main import ContentRecommendationsStep as MainContentRecommendationsStep


class ContentRecommendationsStep(MainContentRecommendationsStep):
    """
    Step 9: Content Recommendations - Real Implementation

    This step generates comprehensive content recommendations based on:
    - Weekly themes from Step 7
    - Daily schedules from Step 8
    - Strategic insights from previous steps
    - Gap analysis and opportunities
    - Performance predictions
    - Quality metrics and validation

    Features:
    - Modular architecture with specialized components
    - AI-powered content recommendation generation
    - Keyword optimization and analysis
    - Gap analysis and opportunity identification
    - Performance prediction and ROI forecasting
    - Comprehensive quality metrics and validation
    - Real AI service integration without fallbacks
    """

    def __init__(self):
        """Initialize Step 9 with real implementation."""
        super().__init__()  # Main implementation already calls PromptStep.__init__
        logger.info("🎯 Step 9: Content Recommendations initialized with REAL IMPLEMENTATION")

    async def execute(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """Execute Step 9 with real implementation."""
        return await super().execute(context, {})
