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"""Performance optimization suggestions.""" |
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from __future__ import annotations |
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from typing import Any, Dict, List, Optional |
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class PerformanceOptimizer: |
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"""Provides performance optimization recommendations.""" |
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def analyze_performance(self, framework: str, platform: str, analysis: Dict[str, Any]) -> Dict[str, Any]: |
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"""Analyze and suggest performance optimizations.""" |
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optimizations = [] |
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score = 100 |
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if framework.lower() == "next.js": |
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optimizations.extend([ |
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{ |
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"category": "build", |
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"priority": "high", |
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"suggestion": "Enable static generation for pages where possible", |
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"impact": "Reduces server load and improves response time" |
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}, |
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{ |
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"category": "images", |
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"priority": "medium", |
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"suggestion": "Use next/image for automatic image optimization", |
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"impact": "Reduces image size by 30-50%" |
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}, |
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{ |
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"category": "caching", |
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"priority": "high", |
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"suggestion": "Implement ISR (Incremental Static Regeneration)", |
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"impact": "Improves page load time significantly" |
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} |
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]) |
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score -= 10 if not analysis.get("has_docker") else 0 |
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elif framework.lower() in ["django", "flask", "fastapi"]: |
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optimizations.extend([ |
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{ |
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"category": "database", |
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"priority": "high", |
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"suggestion": "Enable database connection pooling", |
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"impact": "Reduces database connection overhead" |
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}, |
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{ |
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"category": "caching", |
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"priority": "high", |
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"suggestion": "Implement Redis caching layer", |
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"impact": "Improves response time by 40-60%" |
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}, |
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{ |
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"category": "async", |
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"priority": "medium", |
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"suggestion": "Use async/await for I/O operations", |
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"impact": "Improves concurrency and throughput" |
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} |
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]) |
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if platform.lower() == "vercel": |
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optimizations.append({ |
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"category": "edge", |
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"priority": "high", |
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"suggestion": "Use Edge Functions for low-latency responses", |
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"impact": "Reduces latency by 50-70%" |
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}) |
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if platform.lower() in ["aws", "gcp", "azure"]: |
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optimizations.append({ |
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"category": "cdn", |
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"priority": "high", |
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"suggestion": "Enable CDN for static assets", |
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"impact": "Improves global load times" |
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}) |
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if not analysis.get("has_docker"): |
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optimizations.append({ |
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"category": "containerization", |
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"priority": "medium", |
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"suggestion": "Containerize application for consistent deployments", |
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"impact": "Improves deployment reliability" |
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}) |
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if analysis.get("dependencies", []): |
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dep_count = len(analysis.get("dependencies", [])) |
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if dep_count > 50: |
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optimizations.append({ |
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"category": "dependencies", |
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"priority": "medium", |
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"suggestion": f"Review {dep_count} dependencies - consider removing unused ones", |
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"impact": "Reduces bundle size and build time" |
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}) |
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return { |
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"performance_score": max(0, score), |
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"optimizations": optimizations, |
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"priority_count": { |
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"high": len([o for o in optimizations if o["priority"] == "high"]), |
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"medium": len([o for o in optimizations if o["priority"] == "medium"]), |
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"low": len([o for o in optimizations if o["priority"] == "low"]) |
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}, |
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"estimated_improvement": self._estimate_improvement(optimizations) |
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} |
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def _estimate_improvement(self, optimizations: List[Dict]) -> str: |
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"""Estimate performance improvement.""" |
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high_priority = len([o for o in optimizations if o["priority"] == "high"]) |
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if high_priority >= 3: |
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return "30-50% performance improvement possible" |
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elif high_priority >= 2: |
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return "20-30% performance improvement possible" |
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elif high_priority >= 1: |
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return "10-20% performance improvement possible" |
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else: |
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return "Minor optimizations available" |
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