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>
67 lines
1.4 KiB
Python
67 lines
1.4 KiB
Python
"""
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Cache module for ROA2WEB
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Provides hybrid two-tier caching (Memory L1 + SQLite L2)
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with performance tracking and event-based invalidation.
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Usage:
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# Initialize cache at app startup
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from app.cache import init_cache
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from app.cache.config import CacheConfig
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config = CacheConfig.from_env()
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await init_cache(config)
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# Use @cached decorator in services
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from app.cache.decorators import cached
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@cached(cache_type='dashboard_summary', key_params=['company', 'username'])
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async def get_complete_summary(company: str, username: str):
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# ... Oracle query logic ...
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# Get cache manager for manual operations
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from app.cache import get_cache
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cache = get_cache()
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await cache.invalidate(company_id=123)
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"""
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from .config import CacheConfig
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from .cache_manager import (
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init_cache,
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get_cache,
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close_cache,
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CacheManager
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)
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from .decorators import cached
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from .event_monitor import (
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init_event_monitor,
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get_event_monitor,
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toggle_event_monitor,
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preload_all_schema_mappings
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)
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from .benchmarks import run_baseline_benchmarks
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__all__ = [
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# Configuration
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'CacheConfig',
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# Cache Manager
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'init_cache',
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'get_cache',
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'close_cache',
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'CacheManager',
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# Decorators
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'cached',
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# Event Monitor
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'init_event_monitor',
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'get_event_monitor',
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'toggle_event_monitor',
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'preload_all_schema_mappings',
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# Benchmarks
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'run_baseline_benchmarks',
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]
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