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Add Analytics & SEO
Browse files- analytics_seo.py +142 -0
analytics_seo.py
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| 1 |
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"""
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| 2 |
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Analytics & SEO Module for ProVerBs Ultimate Brain
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| 3 |
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- Google Analytics integration
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| 4 |
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- Query tracking
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- User behavior analytics
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- SEO optimization
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"""
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import json
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from datetime import datetime
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from typing import Dict, List, Optional
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import logging
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logger = logging.getLogger(__name__)
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class AnalyticsTracker:
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"""Track user queries and interactions"""
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def __init__(self):
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self.queries: List[Dict] = []
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self.sessions: Dict[str, Dict] = {}
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self.popular_modes: Dict[str, int] = {}
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self.popular_ai_models: Dict[str, int] = {}
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def track_query(
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self,
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query: str,
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mode: str,
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ai_provider: str,
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reasoning_enabled: bool,
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response_time: float,
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success: bool
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):
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"""Track a query"""
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entry = {
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"timestamp": datetime.now().isoformat(),
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"query": query[:100], # Truncate for privacy
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"mode": mode,
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"ai_provider": ai_provider,
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"reasoning_enabled": reasoning_enabled,
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"response_time": response_time,
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"success": success
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}
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self.queries.append(entry)
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# Track mode popularity
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self.popular_modes[mode] = self.popular_modes.get(mode, 0) + 1
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# Track AI model popularity
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self.popular_ai_models[ai_provider] = self.popular_ai_models.get(ai_provider, 0) + 1
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logger.info(f"Tracked query: {query[:50]}... [Mode: {mode}, AI: {ai_provider}]")
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def get_analytics(self) -> Dict:
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"""Get analytics summary"""
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total_queries = len(self.queries)
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successful_queries = sum(1 for q in self.queries if q['success'])
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avg_response_time = sum(q['response_time'] for q in self.queries) / total_queries if total_queries > 0 else 0
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# Get top modes
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top_modes = sorted(self.popular_modes.items(), key=lambda x: x[1], reverse=True)[:3]
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# Get top AI models
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top_ai = sorted(self.popular_ai_models.items(), key=lambda x: x[1], reverse=True)[:3]
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return {
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"total_queries": total_queries,
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"successful_queries": successful_queries,
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"success_rate": f"{(successful_queries/total_queries*100):.2f}%" if total_queries > 0 else "0%",
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"avg_response_time": f"{avg_response_time:.2f}s",
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"top_modes": top_modes,
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"top_ai_models": top_ai,
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"queries_with_reasoning": sum(1 for q in self.queries if q['reasoning_enabled']),
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"recent_queries": self.queries[-10:][::-1] # Last 10, reversed
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}
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def export_analytics(self, filepath: str = "analytics_data.json"):
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"""Export analytics to JSON file"""
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data = self.get_analytics()
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with open(filepath, 'w') as f:
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json.dump(data, f, indent=2)
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logger.info(f"Analytics exported to {filepath}")
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class SEOOptimizer:
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"""SEO optimization utilities"""
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@staticmethod
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def get_meta_tags() -> str:
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"""Generate SEO meta tags"""
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return """
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<meta name="description" content="ProVerBs Ultimate Legal AI Brain - Advanced legal assistant with 100+ reasoning protocols, multi-AI support, and specialized legal modes. Free to use.">
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<meta name="keywords" content="legal AI, legal assistant, chain of thought, reasoning AI, legal research, document validation, ProVerBs, ADAPPT-I, quantum reasoning">
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<meta name="author" content="Solomon7890">
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<meta name="robots" content="index, follow">
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<meta property="og:title" content="ProVerBs Ultimate Legal AI Brain">
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<meta property="og:description" content="The most advanced legal AI platform with 100+ reasoning protocols and multi-AI support">
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<meta property="og:type" content="website">
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<meta property="og:url" content="https://huggingface.co/spaces/Solomon7890/ProVerbS_LaW_mAiN_PAgE">
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<meta property="og:image" content="https://huggingface.co/spaces/Solomon7890/ProVerbS_LaW_mAiN_PAgE/resolve/main/preview.png">
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<meta name="twitter:card" content="summary_large_image">
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<meta name="twitter:title" content="ProVerBs Ultimate Legal AI Brain">
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<meta name="twitter:description" content="Advanced legal AI with 100+ reasoning protocols">
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"""
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@staticmethod
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def get_structured_data() -> str:
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"""Generate JSON-LD structured data for SEO"""
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return """
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<script type="application/ld+json">
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{
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"@context": "https://schema.org",
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"@type": "SoftwareApplication",
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"name": "ProVerBs Ultimate Legal AI Brain",
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"description": "Advanced legal AI assistant with 100+ reasoning protocols, multi-AI support, and specialized legal modes",
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"applicationCategory": "LegalTechnology",
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"operatingSystem": "Web Browser",
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"offers": {
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"@type": "Offer",
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"price": "0",
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"priceCurrency": "USD"
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},
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"author": {
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"@type": "Person",
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"name": "Solomon7890"
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},
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"featureList": [
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"100+ Reasoning Protocols",
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"6 AI Models (GPT-4, Gemini, Perplexity, etc.)",
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"7 Specialized Legal Modes",
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"Chain-of-Thought Reasoning",
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"Document Validation",
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"Legal Research Assistant"
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]
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}
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</script>
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"""
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# Global analytics tracker
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analytics_tracker = AnalyticsTracker()
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