Files
roa2web-service-auto/backend/modules/reports/cache/memory_cache.py
Marius Mutu c5e051ad80 feat: Migrate to ultrathin monolith architecture
Consolidate 3 separate applications (reports-app, data-entry-app, telegram-bot) into a unified
architecture with single backend and frontend:

Backend Changes:
- Unified FastAPI backend at backend/ with modular structure
- Modules: reports, data_entry, telegram in backend/modules/
- Centralized config.py and main.py with all routers registered
- Single worker mode (--workers 1) for Telegram bot compatibility
- Shared Oracle connection pool and JWT authentication
- Unified requirements.txt and environment configuration

Frontend Changes:
- Single Vue.js SPA with module-based routing
- Unified frontend at src/ with modules in src/modules/{reports,data-entry}/
- Shared components and stores in src/shared/
- Error boundaries for module isolation
- Dual API proxy in Vite for module communication

Infrastructure:
- New unified startup scripts: start-prod.sh, start-test.sh, start-backend.sh
- Environment templates: .env.dev.example, .env.test.example, .env.prod.example
- Updated deployment scripts for Windows IIS
- Simplified SSH tunnel management

Documentation:
- Comprehensive CLAUDE.md with architecture overview
- Module-specific docs in docs/{data-entry,telegram}/
- Architecture decision records in docs/ARCHITECTURE-DECISIONS.md
- Deployment guides consolidated in deployment/windows/docs/

This migration reduces complexity, improves maintainability, and enables easier
deployment while maintaining all existing functionality.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2025-12-29 23:48:14 +02:00

181 lines
4.9 KiB
Python

"""
In-memory cache with TTL (L1 cache)
Fast, limited size, lost on restart
"""
import time
import logging
from typing import Any, Optional, Dict
from collections import OrderedDict
logger = logging.getLogger(__name__)
class MemoryCache:
"""
In-memory LRU cache with TTL support
Features:
- LRU eviction when max_size reached
- Per-entry TTL expiration
- Thread-safe operations
- Fast O(1) get/set operations
"""
def __init__(self, max_size: int = 1000):
"""
Initialize memory cache
Args:
max_size: Maximum number of entries to store
"""
self.max_size = max_size
self._cache: OrderedDict[str, Dict[str, Any]] = OrderedDict()
self._stats = {
'hits': 0,
'misses': 0,
'sets': 0,
'evictions': 0
}
async def get(self, key: str) -> Optional[Any]:
"""
Get value from cache
Args:
key: Cache key
Returns:
Cached value or None if not found/expired
"""
if key not in self._cache:
self._stats['misses'] += 1
return None
entry = self._cache[key]
# Check TTL expiration
if entry['expires_at'] < time.time():
# Expired - remove and return None
del self._cache[key]
self._stats['misses'] += 1
logger.debug(f"Memory cache expired: {key}")
return None
# Move to end (LRU - most recently used)
self._cache.move_to_end(key)
self._stats['hits'] += 1
logger.debug(f"Memory cache HIT: {key}")
return entry['value']
async def set(self, key: str, value: Any, ttl: int):
"""
Set value in cache
Args:
key: Cache key
value: Value to cache
ttl: Time to live in seconds
"""
expires_at = time.time() + ttl
# Check if we need to evict (LRU)
if key not in self._cache and len(self._cache) >= self.max_size:
# Evict oldest entry (first item in OrderedDict)
evicted_key = next(iter(self._cache))
del self._cache[evicted_key]
self._stats['evictions'] += 1
logger.debug(f"Memory cache evicted (LRU): {evicted_key}")
# Store entry
self._cache[key] = {
'value': value,
'expires_at': expires_at,
'created_at': time.time()
}
# Move to end (most recently used)
self._cache.move_to_end(key)
self._stats['sets'] += 1
logger.debug(f"Memory cache SET: {key} (TTL: {ttl}s)")
async def delete(self, key: str) -> bool:
"""
Delete entry from cache
Args:
key: Cache key
Returns:
True if deleted, False if not found
"""
if key in self._cache:
del self._cache[key]
logger.debug(f"Memory cache deleted: {key}")
return True
return False
async def clear(self):
"""Clear all entries from cache"""
count = len(self._cache)
self._cache.clear()
logger.info(f"Memory cache cleared: {count} entries removed")
async def clear_by_pattern(self, pattern: str):
"""
Clear entries matching pattern (simple prefix match)
Args:
pattern: Key prefix to match (e.g., "dashboard_summary:123")
"""
keys_to_delete = [key for key in self._cache.keys() if key.startswith(pattern)]
for key in keys_to_delete:
del self._cache[key]
logger.info(f"Memory cache cleared by pattern '{pattern}': {len(keys_to_delete)} entries")
async def cleanup_expired(self):
"""Remove all expired entries"""
now = time.time()
expired_keys = [
key for key, entry in self._cache.items()
if entry['expires_at'] < now
]
for key in expired_keys:
del self._cache[key]
if expired_keys:
logger.info(f"Memory cache cleanup: {len(expired_keys)} expired entries removed")
def get_stats(self) -> Dict[str, Any]:
"""
Get cache statistics
Returns:
Dictionary with stats (hits, misses, size, etc.)
"""
total_requests = self._stats['hits'] + self._stats['misses']
hit_rate = (self._stats['hits'] / total_requests * 100) if total_requests > 0 else 0
return {
'size': len(self._cache),
'max_size': self.max_size,
'hits': self._stats['hits'],
'misses': self._stats['misses'],
'sets': self._stats['sets'],
'evictions': self._stats['evictions'],
'hit_rate': hit_rate,
'total_requests': total_requests
}
def reset_stats(self):
"""Reset statistics counters"""
self._stats = {
'hits': 0,
'misses': 0,
'sets': 0,
'evictions': 0
}