Commit Graph

3 Commits

Author SHA1 Message Date
1378ee1e6a Implement hybrid two-tier cache system with full monitoring and Telegram bot enhancements
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>
2025-11-07 22:42:00 +02:00
f42eff71a6 Fix .gitignore and add missing authentication source files
This commit fixes overly broad .gitignore patterns that were excluding
important source code files from version control. Previously, wildcard
patterns like *auth*, *token*, *secret*, *connection*, and *credential*
were excluding ALL files containing these words, including critical
application code.

Changes:
- Updated .gitignore with specific patterns for sensitive config files
  (*.json, *.txt, *.yml, *.yaml extensions only)
- Removed broad wildcards that excluded source code files

Added missing source files:
- shared/auth/ (9 files): Complete authentication system
  - JWT handler, middleware, auth service, models, routes
- reports-app/backend/app/routers/auth.py: Authentication API router
- reports-app/backend/app/auth_middleware_wrapper.py: Middleware wrapper
- reports-app/frontend/src/stores/auth.js: Vue.js auth store
- reports-app/frontend/tests/: E2E tests and fixtures for auth
- reports-app/telegram-bot/app/auth/: Telegram auth linking module
- deployment/windows/scripts/Setup-ClaudeAuth.ps1: Windows deployment script
- security/secrets_scanner.py: Security scanning utility

These files are essential for the application to function and should
have been included in the initial commit.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 15:02:28 +03:00
6b13ffa183 Initial commit: ROA2WEB - FastAPI + Vue.js + Telegram Bot
Modern ERP Reports Application with microservices architecture

Tech Stack:
- Backend: FastAPI + python-oracledb (Oracle DB integration)
- Frontend: Vue.js 3 + PrimeVue + Vite
- Telegram Bot: python-telegram-bot + SQLite
- Infrastructure: Shared database pool, JWT authentication, SSH tunnel

Features:
- FastAPI backend with async Oracle connection pool
- Vue.js 3 responsive frontend with PrimeVue components
- Telegram bot alternative interface
- Microservices architecture with shared components
- Complete deployment support (Linux Docker + Windows IIS)
- Comprehensive testing (Playwright E2E + pytest)

Repository Structure:
- reports-app/ - Main application (backend, frontend, telegram-bot)
- shared/ - Shared components (database pool, auth, utils)
- deployment/ - Deployment scripts (Linux & Windows)
- docs/ - Project documentation
- security/ - Security scanning and git hooks
2025-10-25 14:55:08 +03:00