56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
"""
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Content Strategy Analysis Service
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AI-powered content strategy analyzer that provides insights into
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content gaps, opportunities, and competitive positioning.
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"""
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from typing import Dict, Any, List, Optional
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from datetime import datetime
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from loguru import logger
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class ContentStrategyService:
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"""Service for AI-powered content strategy analysis"""
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def __init__(self):
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"""Initialize the content strategy service"""
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self.service_name = "content_strategy_analyzer"
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logger.info(f"Initialized {self.service_name}")
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async def analyze_content_strategy(
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self,
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website_url: str,
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competitors: List[str] = None,
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target_keywords: List[str] = None,
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custom_parameters: Dict[str, Any] = None
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) -> Dict[str, Any]:
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"""Analyze content strategy and opportunities"""
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# Placeholder implementation
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return {
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"website_url": website_url,
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"analysis_type": "content_strategy",
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"competitors_analyzed": len(competitors) if competitors else 0,
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"content_gaps": [
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{"topic": "SEO best practices", "opportunity_score": 85, "difficulty": "Medium"},
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{"topic": "Content marketing", "opportunity_score": 78, "difficulty": "Low"}
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],
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"opportunities": [
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{"type": "Trending topics", "count": 15, "potential_traffic": "High"},
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{"type": "Long-tail keywords", "count": 45, "potential_traffic": "Medium"}
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],
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"content_performance": {"top_performing": 12, "underperforming": 8},
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"recommendations": [
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"Create content around trending SEO topics",
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"Optimize existing content for long-tail keywords",
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"Develop content series for better engagement"
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],
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"competitive_analysis": {"content_leadership": "moderate", "gaps_identified": 8}
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}
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async def health_check(self) -> Dict[str, Any]:
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"""Health check for the content strategy service"""
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return {
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"status": "operational",
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"service": self.service_name,
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"last_check": datetime.utcnow().isoformat()
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} |