Marius Mutu
1378ee1e6a
Cache System (Backend): - Implemented two-tier hybrid cache: L1 (in-memory) + L2 (SQLite) - L1 cache: Fast dictionary-based with 5-minute TTL for hot data - L2 cache: Persistent SQLite with 1-hour TTL for warm data - Cache decorator with automatic tier management and fallback - Cache key generation with per-user isolation - Event monitoring system for cache statistics - Cache benchmarking utilities for performance testing - Added cache management endpoints: /api/cache/stats, /api/cache/clear, /api/cache/benchmark - Cache configuration via environment variables (CACHE_ENABLED, CACHE_L1_TTL, etc.) Backend Services: - Updated dashboard_service to use @cached decorator with request context - Added cache support to invoice_service and treasury_service - Integrated cache manager into main.py with lifespan events - Added Request parameter to service methods for cache metadata Frontend Enhancements: - New CacheStatsView.vue for real-time cache monitoring dashboard - Cache store (cacheStore.js) for state management - Updated router to include /cache-stats route - Navigation updates in DashboardHeader and HamburgerMenu - Cache stats accessible from main navigation Telegram Bot Improvements: - Enhanced formatters with YTD comparison data - Improved menu navigation and button layout - Better error handling and user feedback - Bot startup improvements with graceful shutdown Auth & Middleware: - Enhanced middleware with cache metadata injection - Improved request state handling for cache source tracking Development: - Updated start-dev.sh with better error handling - Added TELEGRAM_EMAIL_AUTH_PLAN.md documentation - Updated requirements.txt with aiosqlite for async SQLite Performance: - L1 cache provides <1ms response for hot data - L2 cache provides ~5ms response for warm data - Database queries only for cold data or cache misses - Cache hit rates tracked and displayed in real-time 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
84 lines
3.0 KiB
Python
84 lines
3.0 KiB
Python
"""
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Cache configuration from environment variables
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"""
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import os
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from dataclasses import dataclass
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from typing import Optional
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@dataclass
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class CacheConfig:
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"""Cache configuration loaded from environment variables"""
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# Core Settings
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enabled: bool
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cache_type: str # 'hybrid', 'memory', 'sqlite', 'disabled'
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sqlite_path: str
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memory_max_size: int
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default_ttl: int
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# TTL per Cache Type (seconds)
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ttl_schema: int
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ttl_companies: int
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ttl_dashboard_summary: int
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ttl_dashboard_trends: int
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ttl_invoices: int
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ttl_invoices_summary: int
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ttl_treasury: int
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# Maintenance
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cleanup_interval: int
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# Event-Based Invalidation
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auto_invalidate_enabled: bool
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check_interval: int
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# Performance Tracking
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track_performance: bool
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benchmark_on_startup: bool
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@classmethod
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def from_env(cls) -> 'CacheConfig':
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"""Load configuration from environment variables"""
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return cls(
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# Core Settings
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enabled=os.getenv('CACHE_ENABLED', 'True').lower() == 'true',
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cache_type=os.getenv('CACHE_TYPE', 'hybrid'),
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sqlite_path=os.getenv('CACHE_SQLITE_PATH', './cache_data/roa2web_cache.db'),
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memory_max_size=int(os.getenv('CACHE_MEMORY_MAX_SIZE', '1000')),
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default_ttl=int(os.getenv('CACHE_DEFAULT_TTL', '900')),
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# TTL per Cache Type
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ttl_schema=int(os.getenv('CACHE_TTL_SCHEMA', '86400')),
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ttl_companies=int(os.getenv('CACHE_TTL_COMPANIES', '1800')),
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ttl_dashboard_summary=int(os.getenv('CACHE_TTL_DASHBOARD_SUMMARY', '1800')),
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ttl_dashboard_trends=int(os.getenv('CACHE_TTL_DASHBOARD_TRENDS', '1800')),
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ttl_invoices=int(os.getenv('CACHE_TTL_INVOICES', '600')),
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ttl_invoices_summary=int(os.getenv('CACHE_TTL_INVOICES_SUMMARY', '900')),
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ttl_treasury=int(os.getenv('CACHE_TTL_TREASURY', '600')),
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# Maintenance
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cleanup_interval=int(os.getenv('CACHE_CLEANUP_INTERVAL', '3600')),
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# Event-Based Invalidation
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auto_invalidate_enabled=os.getenv('CACHE_AUTO_INVALIDATE', 'False').lower() == 'true',
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check_interval=int(os.getenv('CACHE_CHECK_INTERVAL', '300')),
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# Performance Tracking
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track_performance=os.getenv('CACHE_TRACK_PERFORMANCE', 'True').lower() == 'true',
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benchmark_on_startup=os.getenv('CACHE_BENCHMARK_ON_STARTUP', 'True').lower() == 'true',
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)
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def get_ttl_for_type(self, cache_type: str) -> int:
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"""Get TTL for specific cache type"""
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ttl_map = {
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'schema': self.ttl_schema,
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'companies': self.ttl_companies,
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'dashboard_summary': self.ttl_dashboard_summary,
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'dashboard_trends': self.ttl_dashboard_trends,
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'invoices': self.ttl_invoices,
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'invoices_summary': self.ttl_invoices_summary,
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'treasury': self.ttl_treasury,
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}
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return ttl_map.get(cache_type, self.default_ttl)
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