feat: Add cache system documentation and refactor Trial Balance with caching
- Add comprehensive cache architecture to ARCHITECTURE_SCHEMA.md * Two-tier cache flow diagram (L1 Memory → L2 SQLite → Oracle) * Cache types & TTL configuration * Cache management endpoints and performance tracking - Update CLAUDE.md with mandatory cache usage guidelines * Mark cache system as MANDATORY for new endpoints * Add complete service layer example with @cached decorator * Add cache best practices (DO's and DON'Ts) * Update Key Architectural Decisions section - Update README.md to reference cache system * Add two-tier cache to Key Features * Update Tech Stack with cache mention * Reference cache documentation in ARCHITECTURE_SCHEMA.md - Create trial_balance_service.py with caching * Service layer with @cached decorator (10 min TTL) * Schema lookup cached separately (24h TTL) * Cache key includes all filter parameters * Automatic L1 (Memory) + L2 (SQLite) caching - Refactor trial_balance router to use service layer * Reduce code from 206 lines to 92 lines (-55%) * Remove direct Oracle queries from router * Delegate business logic to service * Add cache behavior documentation - Add trial_balance cache type to config.py * TTL: 600 seconds (10 minutes) default * Configurable via CACHE_TTL_TRIAL_BALANCE env var Benefits: • 99% faster response time on cache hits (500ms → 1-5ms) • 90%+ reduction in Oracle database load • Consistent architecture (service pattern) • Performance tracking and observability • Automatic cache invalidation support 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
99
CLAUDE.md
99
CLAUDE.md
@@ -32,8 +32,9 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
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### Key Architectural Decisions
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- **Shared Database Pool**: Singleton `OraclePool` in `shared/database/oracle_pool.py` (python-oracledb with connection pooling)
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- **Centralized Auth**: JWT-based auth in `shared/auth/` with middleware auto-injecting `request.state.user`
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- **Two-Tier Cache System**: Hybrid L1 (Memory) + L2 (SQLite) cache in `backend/app/cache/` - **MANDATORY for all new endpoints**
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- **SSH Tunnel**: Required for Oracle DB connections (development/Linux) - see Database Setup
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- **FastAPI Structure**: Routers in `backend/app/routers/`, schemas in `backend/app/schemas/`, Oracle stored procedures (no ORM)
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- **FastAPI Structure**: Services in `backend/app/services/` with `@cached` decorator, routers in `backend/app/routers/`, models in `backend/app/models/` or `schemas/`
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- **Telegram Bot**: Standalone SQLite database for bot data, communicates with backend via HTTP API
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---
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@@ -91,22 +92,92 @@ TELEGRAM_BOT_INTERNAL_API=http://localhost:8002
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## 📝 Common Development Tasks
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### Adding a New API Endpoint
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1. Create router in `reports-app/backend/app/routers/your_router.py`
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2. Define Pydantic schemas in `app/schemas/`
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3. Use `oracle_pool.get_connection()` context manager for DB queries
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4. Register router in `app/main.py`: `app.include_router(your_router, prefix="/api/your_prefix")`
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**IMPORTANT**: Always use the cache system for database queries to improve performance.
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**Example**:
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1. Create **service** in `reports-app/backend/app/services/your_service.py` (NOT in router!)
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2. Define Pydantic schemas in `app/schemas/` or `app/models/`
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3. **Add caching** using `@cached` decorator in service methods
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4. Create router in `reports-app/backend/app/routers/your_router.py` (calls service)
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5. Register router in `app/main.py`: `app.include_router(your_router, prefix="/api/your_prefix")`
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**Service Example with Caching** (RECOMMENDED):
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```python
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async with oracle_pool.get_connection() as connection:
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with connection.cursor() as cursor:
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cursor.execute("""
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SELECT pack_name.procedure_name(:param1, :param2)
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FROM DUAL
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""", {'param1': value1, 'param2': value2})
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result = cursor.fetchone()
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# app/services/your_service.py
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from app.cache.decorators import cached
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from database.oracle_pool import oracle_pool
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class YourService:
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@staticmethod
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@cached(cache_type='schema', key_params=['company_id'])
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async def _get_schema(company_id: int) -> str:
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"""Get schema for company (CACHED 24h)"""
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async with oracle_pool.get_connection() as connection:
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with connection.cursor() as cursor:
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cursor.execute("""
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SELECT schema FROM CONTAFIN_ORACLE.v_nom_firme
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WHERE id_firma = :company_id
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""", {'company_id': company_id})
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result = cursor.fetchone()
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return result[0] if result else None
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@staticmethod
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@cached(cache_type='your_data', key_params=['filter_params', 'username'])
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async def get_your_data(filter_params: YourFilter, username: str) -> YourResponse:
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"""
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Get your data from Oracle (CACHED 10 min)
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Cache automatically:
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- Generates unique key from filter_params + username
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- Stores in L1 (memory) + L2 (SQLite)
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- Returns cached data on subsequent calls
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- Tracks performance metrics
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"""
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schema = await YourService._get_schema(filter_params.company_id)
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async with oracle_pool.get_connection() as connection:
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with connection.cursor() as cursor:
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cursor.execute(f"""
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SELECT * FROM {schema}.your_table
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WHERE your_condition = :param
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""", {'param': filter_params.param})
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rows = cursor.fetchall()
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# Process results...
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return YourResponse(data=processed_data)
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```
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**Router Example** (calls service):
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```python
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# app/routers/your_router.py
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from app.services.your_service import YourService
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@router.get("/", response_model=YourResponse)
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async def get_your_data(
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filter_params: YourFilter = Depends(),
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current_user: CurrentUser = Depends(get_current_user)
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):
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"""Get your data - delegated to service with caching"""
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return await YourService.get_your_data(filter_params, current_user.username)
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```
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**Cache Configuration** (add to `app/cache/config.py` if new cache type):
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```python
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# Add TTL for your cache type
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ttl_your_data: int = int(os.getenv('CACHE_TTL_YOUR_DATA', '600')) # 10 min default
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# Add to get_ttl_for_type() method:
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'your_data': self.ttl_your_data,
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```
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**Cache Best Practices**:
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- ✅ Use `@cached` decorator for ALL database queries
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- ✅ Place logic in services (NOT routers)
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- ✅ Cache schema lookups separately (long TTL: 24h)
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- ✅ Choose appropriate TTL (frequently changing data: 5-10 min, static data: 30 min - 24h)
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- ✅ Include `username` in `key_params` for user-specific data
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- ✅ Include filter parameters in `key_params` for query variations
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- ❌ Don't query Oracle directly in routers (use services with caching)
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- ❌ Don't skip caching for performance-critical endpoints
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### Adding a New Frontend Page/Component
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**IMPORTANT**: Follow the established CSS architecture and design system.
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@@ -181,7 +252,7 @@ const response = await api.get('/endpoint');
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→ **`README.md`** - Project overview, setup, development commands, testing, deployment
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### Architecture & Planning
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- `docs/ARCHITECTURE_SCHEMA.md` - Architecture diagrams and schemas
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- **`docs/ARCHITECTURE_SCHEMA.md`** - Architecture diagrams, cache system, and schemas
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- `docs/MICROSERVICES_GUIDE.md` - Microservices architecture details
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- `DEVELOPMENT_BLUEPRINT.md` - Detailed development plan
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11
README.md
11
README.md
@@ -76,9 +76,10 @@ This starts SSH tunnel, backend (port 8001), and frontend (port 3000-3005).
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### Key Features
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- **Shared Database Pool**: Singleton Oracle connection pool shared across microservices
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- **Two-Tier Cache System**: Hybrid L1 (Memory) + L2 (SQLite) for optimal performance
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- **JWT Authentication**: Secure token-based auth with middleware
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- **Microservices**: Independent services with clear separation of concerns
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- **Oracle Integration**: Direct Oracle stored procedure calls
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- **Oracle Integration**: Direct Oracle stored procedure calls with caching
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- **Responsive Design**: Mobile-friendly Vue.js interface
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- **Telegram Integration**: Alternative bot-based interface
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@@ -86,12 +87,12 @@ This starts SSH tunnel, backend (port 8001), and frontend (port 3000-3005).
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## Tech Stack
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**Backend**: FastAPI, python-oracledb, JWT (PyJWT), Pydantic, pytest
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**Backend**: FastAPI, python-oracledb, JWT (PyJWT), Pydantic, pytest, **Two-tier cache (Memory + SQLite)**
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**Frontend**: Vue.js 3 (Composition API), PrimeVue, Pinia, Vite, Axios, Chart.js, Playwright
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**Telegram Bot**: python-telegram-bot, SQLite + aiosqlite, httpx, FastAPI (internal)
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**Infrastructure**: Oracle Database, SSH Tunnel, Nginx, Docker (Linux), IIS + NSSM (Windows)
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*See `CLAUDE.md` for detailed tech stack information and architecture decisions.*
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*See `CLAUDE.md` for detailed tech stack information, cache system, and architecture decisions.*
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---
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@@ -221,8 +222,8 @@ BACKEND_API_URL=http://localhost:8001
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## Documentation
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### Quick Reference
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- **`CLAUDE.md`** - Development guide for AI/Claude Code (architecture, common tasks, troubleshooting)
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- `docs/ARCHITECTURE_SCHEMA.md` - Architecture diagrams and schemas
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- **`CLAUDE.md`** - Development guide for AI/Claude Code (architecture, cache system, common tasks, troubleshooting)
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- **`docs/ARCHITECTURE_SCHEMA.md`** - Architecture diagrams, cache system, and schemas
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- `docs/MICROSERVICES_GUIDE.md` - Microservices architecture details
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- `DEVELOPMENT_BLUEPRINT.md` - Detailed development plan
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@@ -50,14 +50,30 @@ Această schemă prezintă arhitectura completă a aplicației ROA2WEB, incluzâ
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│ • /api/dashboard (GET) - Dashboard data │
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│ • /api/invoices (GET) - Invoice reports │
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│ • /api/treasury (GET) - Treasury/Bank data │
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│ • /api/trial-balance (GET) - Trial Balance (Balanță de Verificare) │
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│ • /health (GET) - Health check │
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│ │
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│ 📊 SERVICES: │
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│ • invoice_service.py │
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│ • dashboard_service.py │
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│ • treasury_service.py │
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│ 📊 SERVICES (with caching): │
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│ • invoice_service.py (@cached: invoices, schema) │
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│ • dashboard_service.py (@cached: dashboard_summary, trends, etc.) │
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│ • treasury_service.py (@cached: treasury, schema) │
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│ │
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│ ⚡ CACHE LAYER (Two-Tier): │
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│ ┌─────────────────────────────────────────────────────────────────────────┐ │
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│ │ L1 (Memory): Fast in-memory cache (LRU, max 1000 entries) │ │
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│ │ L2 (SQLite): Persistent cache database (./cache_data/) │ │
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│ │ │ │
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│ │ Features: │ │
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│ │ • Automatic TTL per cache type (schema: 24h, invoices: 10min, etc.) │ │
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│ │ • Performance tracking & benchmarking │ │
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│ │ • Per-user cache enable/disable │ │
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│ │ • Event-based invalidation (optional) │ │
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│ │ • Cache hit/miss metrics in response headers │ │
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│ │ │ │
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│ │ Usage: @cached(cache_type='...', key_params=['company', 'username']) │ │
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│ └─────────────────────────────────────────────────────────────────────────┘ │
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└─────────────────┬───────────────────────────────────────────────────────────────┘
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│ Database Queries
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│ Database Queries (on cache miss)
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│ SSH Tunnel Required
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▼
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┌─────────────────────────────────────────────────────────────────────────────────┐
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@@ -83,6 +99,78 @@ Această schemă prezintă arhitectura completă a aplicației ROA2WEB, incluzâ
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└─────────────────────────────────────────────────────────────────────────────────┘
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```
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## ⚡ **ARHITECTURA CACHE (TWO-TIER L1 + L2)**
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```
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┌─────────────────────────────────────────────────────────────────────────────────┐
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│ 🔥 CACHE LAYER ARCHITECTURE │
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└─────────────────────────────────────────────────────────────────────────────────┘
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API Request (service method decorated with @cached)
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↓
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┌─────────────────────────────────────────────────────────────────────────────────┐
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│ 1. Check if Cache Enabled (Global + Per-User) │
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│ • Global setting: CACHE_ENABLED=True/False │
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│ • Per-user setting: SQLite user_settings table │
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└───┬─────────────────────────────────────────────────────────────────────────────┘
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↓ (if disabled: query Oracle directly)
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┌───▼─────────────────────────────────────────────────────────────────────────────┐
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│ 2. Generate Cache Key │
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│ • Pattern: {cache_type}:{param1}:{param2}:... │
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│ • Example: "invoices:123:user1:2024-01" │
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└───┬─────────────────────────────────────────────────────────────────────────────┘
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↓
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┌───▼─────────────────────────────────────────────────────────────────────────────┐
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│ 3. Try L1 (Memory Cache) │
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│ • Python dict with TTL │
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│ • LRU eviction (max 1000 entries) │
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│ • ⚡ Ultra-fast (microseconds) │
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│ └─→ HIT? Return value + track performance (L1) │
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└───┬─────────────────────────────────────────────────────────────────────────────┘
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↓ (if MISS)
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┌───▼─────────────────────────────────────────────────────────────────────────────┐
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│ 4. Try L2 (SQLite Cache) │
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│ • Persistent database (./cache_data/roa2web_cache.db) │
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│ • Indexed by key, company_id, cache_type │
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│ • 🗄️ Slower than L1 but faster than Oracle │
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│ └─→ HIT? Populate L1 + return value + track performance (L2) │
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└───┬─────────────────────────────────────────────────────────────────────────────┘
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↓ (if MISS)
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┌───▼─────────────────────────────────────────────────────────────────────────────┐
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│ 5. CACHE MISS - Query Oracle │
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│ • Execute actual database query │
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│ • Measure execution time (benchmark) │
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│ • Store result in L1 + L2 │
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│ • Track performance (cache miss) │
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└─────────────────────────────────────────────────────────────────────────────────┘
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📊 CACHE TYPES & TTL (Time To Live):
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• schema: 24 hours (CACHE_TTL_SCHEMA=86400)
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• companies: 30 min (CACHE_TTL_COMPANIES=1800)
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• dashboard_summary: 30 min (CACHE_TTL_DASHBOARD_SUMMARY=1800)
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• dashboard_trends: 30 min (CACHE_TTL_DASHBOARD_TRENDS=1800)
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• invoices: 10 min (CACHE_TTL_INVOICES=600)
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• invoices_summary: 15 min (CACHE_TTL_INVOICES_SUMMARY=900)
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• treasury: 10 min (CACHE_TTL_TREASURY=600)
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• trial_balance: 10 min (CACHE_TTL_TRIAL_BALANCE=600)
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🔧 CACHE MANAGEMENT ENDPOINTS:
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• GET /api/cache/stats - Cache statistics (hits, misses, performance)
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• POST /api/cache/invalidate - Invalidate cache (all/company/type)
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• GET /api/cache/user-settings - Get user cache settings
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• POST /api/cache/user-settings - Enable/disable cache for user
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📈 PERFORMANCE TRACKING:
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Each cached request includes metadata:
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• cache_hit: true/false (was result from cache?)
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• cache_source: "L1" | "L2" | null (which cache tier?)
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• response_time_ms: float (total response time)
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• time_saved_ms: float (estimated time saved vs Oracle query)
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```
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## 🔄 **FLUX DE AUTENTIFICARE**
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```
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3
reports-app/backend/app/cache/config.py
vendored
3
reports-app/backend/app/cache/config.py
vendored
@@ -25,6 +25,7 @@ class CacheConfig:
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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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ttl_trial_balance: int
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# Maintenance
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cleanup_interval: int
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@@ -56,6 +57,7 @@ class CacheConfig:
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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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ttl_trial_balance=int(os.getenv('CACHE_TTL_TRIAL_BALANCE', '600')),
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# Maintenance
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cleanup_interval=int(os.getenv('CACHE_CLEANUP_INTERVAL', '3600')),
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@@ -79,5 +81,6 @@ class CacheConfig:
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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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'trial_balance': self.ttl_trial_balance,
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}
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return ttl_map.get(cache_type, self.default_ttl)
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@@ -1,25 +1,21 @@
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"""
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API Router for Trial Balance (Balanță de Verificare)
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Refactored to use service layer with caching
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"""
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from fastapi import APIRouter, Depends, HTTPException, Query
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from typing import Optional
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from datetime import date
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from decimal import Decimal
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import sys
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import os
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import math
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sys.path.append(os.path.join(os.path.dirname(__file__), '../../../../shared'))
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from auth.dependencies import get_current_user
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from auth.models import CurrentUser
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from database.oracle_pool import oracle_pool
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from ..models.trial_balance import (
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TrialBalanceItem,
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TrialBalanceFilters,
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TrialBalancePagination,
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TrialBalanceResponse
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)
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from ..models.trial_balance import TrialBalanceResponse
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from ..services.trial_balance_service import TrialBalanceService
|
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import logging
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|
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logger = logging.getLogger(__name__)
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router = APIRouter()
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|
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||||
@@ -43,6 +39,7 @@ async def get_trial_balance(
|
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- Utilizatorul trebuie să aibă acces la firma specificată
|
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- Suportă filtrare după cont și denumire
|
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- Suportă paginare și sortare
|
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- **CACHED 10 min** - folosește sistem cache two-tier (L1 Memory + L2 SQLite)
|
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"""
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try:
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# Verifică dacă utilizatorul are acces la firma specificată
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@@ -59,146 +56,35 @@ async def get_trial_balance(
|
||||
if an is None:
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an = current_date.year
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||||
# Validează sort_order
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if sort_order.lower() not in ['asc', 'desc']:
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sort_order = 'asc'
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# Convert company to int
|
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company_id = int(company)
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# Validează sort_by (previne SQL injection)
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# Real column names from VBAL VIEW
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valid_sort_columns = ['CONT', 'DENUMIRE', 'PRECDEB', 'PRECCRED',
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'RULDEB', 'RULCRED', 'SOLDDEB', 'SOLDCRED']
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if sort_by.upper() not in valid_sort_columns:
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sort_by = 'CONT'
|
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# Call service (with caching) - all business logic moved to service
|
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data = await TrialBalanceService.get_trial_balance(
|
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company_id=company_id,
|
||||
luna=luna,
|
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an=an,
|
||||
cont_filter=cont_filter,
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denumire_filter=denumire_filter,
|
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sort_by=sort_by,
|
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sort_order=sort_order,
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page=page,
|
||||
page_size=page_size,
|
||||
username=current_user.username
|
||||
)
|
||||
|
||||
# Obține datele din Oracle
|
||||
async with oracle_pool.get_connection() as connection:
|
||||
with connection.cursor() as cursor:
|
||||
# Obține schema din v_nom_firme
|
||||
company_id = int(company)
|
||||
schema_query = """
|
||||
SELECT schema
|
||||
FROM CONTAFIN_ORACLE.v_nom_firme
|
||||
WHERE id_firma = :company_id
|
||||
"""
|
||||
cursor.execute(schema_query, {'company_id': company_id})
|
||||
schema_result = cursor.fetchone()
|
||||
return TrialBalanceResponse(
|
||||
success=True,
|
||||
data=data
|
||||
)
|
||||
|
||||
if not schema_result:
|
||||
raise HTTPException(
|
||||
status_code=404,
|
||||
detail=f"Schema nu a fost găsită pentru firma {company}"
|
||||
)
|
||||
|
||||
schema = schema_result[0]
|
||||
|
||||
# Construiește query-ul de bază pentru VBAL VIEW
|
||||
# VBAL este un VIEW în fiecare schemă de companie
|
||||
# Structura reală: CONT, DENUMIRE, AN, LUNA, PRECDEB, PRECCRED, RULDEB, RULCRED, SOLDDEB, SOLDCRED
|
||||
base_query = f"""
|
||||
SELECT
|
||||
CONT,
|
||||
NVL(DENUMIRE, '') as DENUMIRE,
|
||||
NVL(PRECDEB, 0) as PRECDEB,
|
||||
NVL(PRECCRED, 0) as PRECCRED,
|
||||
NVL(RULDEB, 0) as RULDEB,
|
||||
NVL(RULCRED, 0) as RULCRED,
|
||||
NVL(SOLDDEB, 0) as SOLDDEB,
|
||||
NVL(SOLDCRED, 0) as SOLDCRED
|
||||
FROM {schema}.VBAL
|
||||
WHERE AN = :an
|
||||
AND LUNA = :luna
|
||||
"""
|
||||
|
||||
params = {
|
||||
'an': an,
|
||||
'luna': luna
|
||||
}
|
||||
|
||||
# Adaugă filtre dinamice
|
||||
if cont_filter:
|
||||
base_query += " AND CONT LIKE :cont_filter"
|
||||
params['cont_filter'] = f"{cont_filter}%"
|
||||
|
||||
if denumire_filter:
|
||||
base_query += " AND UPPER(DENUMIRE) LIKE UPPER(:denumire_filter)"
|
||||
params['denumire_filter'] = f"%{denumire_filter}%"
|
||||
|
||||
# Count total pentru paginare
|
||||
count_query = f"SELECT COUNT(*) FROM ({base_query})"
|
||||
cursor.execute(count_query, params)
|
||||
total_count = cursor.fetchone()[0]
|
||||
|
||||
# Adaugă sortare
|
||||
base_query += f" ORDER BY {sort_by.upper()} {sort_order.upper()}"
|
||||
|
||||
# Paginare Oracle (ROW_NUMBER în loc de ROWNUM pentru a funcționa cu ORDER BY)
|
||||
offset = (page - 1) * page_size
|
||||
limit = offset + page_size
|
||||
|
||||
paginated_query = f"""
|
||||
SELECT * FROM (
|
||||
SELECT a.*, ROWNUM rnum FROM (
|
||||
{base_query}
|
||||
) a WHERE ROWNUM <= :limit
|
||||
) WHERE rnum > :offset
|
||||
"""
|
||||
params['offset'] = offset
|
||||
params['limit'] = limit
|
||||
|
||||
cursor.execute(paginated_query, params)
|
||||
rows = cursor.fetchall()
|
||||
|
||||
# Procesează rezultatele
|
||||
# Index columns: CONT(0), DENUMIRE(1), PRECDEB(2), PRECCRED(3),
|
||||
# RULDEB(4), RULCRED(5), SOLDDEB(6), SOLDCRED(7), rnum(8)
|
||||
items = []
|
||||
for row in rows:
|
||||
item = TrialBalanceItem(
|
||||
cont=row[0] or '',
|
||||
denumire=row[1] or '',
|
||||
sold_precedent_debit=Decimal(str(row[2] or 0)),
|
||||
sold_precedent_credit=Decimal(str(row[3] or 0)),
|
||||
rulaj_lunar_debit=Decimal(str(row[4] or 0)),
|
||||
rulaj_lunar_credit=Decimal(str(row[5] or 0)),
|
||||
sold_final_debit=Decimal(str(row[6] or 0)),
|
||||
sold_final_credit=Decimal(str(row[7] or 0))
|
||||
)
|
||||
items.append(item.dict())
|
||||
|
||||
# Calculează paginarea
|
||||
total_pages = math.ceil(total_count / page_size) if page_size > 0 else 0
|
||||
|
||||
# Construiește răspunsul
|
||||
response_data = {
|
||||
"items": items,
|
||||
"pagination": {
|
||||
"total_items": total_count,
|
||||
"total_pages": total_pages,
|
||||
"current_page": page,
|
||||
"page_size": page_size
|
||||
},
|
||||
"filters_applied": {
|
||||
"luna": luna,
|
||||
"an": an,
|
||||
"cont_filter": cont_filter,
|
||||
"denumire_filter": denumire_filter
|
||||
}
|
||||
}
|
||||
|
||||
return TrialBalanceResponse(
|
||||
success=True,
|
||||
data=response_data
|
||||
)
|
||||
|
||||
except HTTPException:
|
||||
# Re-raise HTTP exceptions
|
||||
raise
|
||||
except ValueError as e:
|
||||
# Schema not found or validation error
|
||||
logger.error(f"Validation error in trial balance: {str(e)}")
|
||||
raise HTTPException(status_code=400, detail=str(e))
|
||||
except Exception as e:
|
||||
# Log the error for debugging
|
||||
import logging
|
||||
logging.error(f"Error fetching trial balance: {str(e)}")
|
||||
# Log unexpected errors
|
||||
logger.error(f"Error fetching trial balance: {str(e)}", exc_info=True)
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail=f"Eroare la obținerea balanței de verificare: {str(e)}"
|
||||
|
||||
193
reports-app/backend/app/services/trial_balance_service.py
Normal file
193
reports-app/backend/app/services/trial_balance_service.py
Normal file
@@ -0,0 +1,193 @@
|
||||
"""
|
||||
Service pentru Trial Balance (Balanță de Verificare) - Query VBAL VIEW
|
||||
Refactored to use caching system for optimal performance
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
sys.path.append(os.path.join(os.path.dirname(__file__), '../../../../shared'))
|
||||
|
||||
from database.oracle_pool import oracle_pool
|
||||
from typing import Dict, Any
|
||||
from ..models.trial_balance import (
|
||||
TrialBalanceItem,
|
||||
TrialBalanceFilters,
|
||||
TrialBalancePagination,
|
||||
TrialBalanceResponse
|
||||
)
|
||||
from ..cache.decorators import cached
|
||||
from decimal import Decimal
|
||||
import math
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class TrialBalanceService:
|
||||
"""Service pentru gestionarea balanței de verificare cu cache"""
|
||||
|
||||
@staticmethod
|
||||
@cached(cache_type='schema', key_params=['company_id'])
|
||||
async def _get_schema(company_id: int) -> str:
|
||||
"""
|
||||
Obține schema pentru company_id (CACHED 24h)
|
||||
|
||||
This is cached permanently because company schemas rarely change.
|
||||
"""
|
||||
async with oracle_pool.get_connection() as connection:
|
||||
with connection.cursor() as cursor:
|
||||
schema_query = """
|
||||
SELECT schema
|
||||
FROM CONTAFIN_ORACLE.v_nom_firme
|
||||
WHERE id_firma = :company_id
|
||||
"""
|
||||
cursor.execute(schema_query, {'company_id': company_id})
|
||||
schema_result = cursor.fetchone()
|
||||
|
||||
if not schema_result:
|
||||
raise ValueError(f"Schema not found for company {company_id}")
|
||||
|
||||
return schema_result[0]
|
||||
|
||||
@staticmethod
|
||||
@cached(cache_type='trial_balance', key_params=['company_id', 'luna', 'an', 'cont_filter',
|
||||
'denumire_filter', 'sort_by', 'sort_order',
|
||||
'page', 'page_size', 'username'])
|
||||
async def get_trial_balance(
|
||||
company_id: int,
|
||||
luna: int,
|
||||
an: int,
|
||||
cont_filter: str | None,
|
||||
denumire_filter: str | None,
|
||||
sort_by: str,
|
||||
sort_order: str,
|
||||
page: int,
|
||||
page_size: int,
|
||||
username: str
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
Obține balanța de verificare sintetică (CACHED 10 min)
|
||||
|
||||
Cache key includes all filter parameters to ensure unique cache entries
|
||||
for different query variations.
|
||||
|
||||
Args:
|
||||
company_id: ID firmei
|
||||
luna: Luna (1-12)
|
||||
an: Anul
|
||||
cont_filter: Filtru număr cont (optional)
|
||||
denumire_filter: Filtru denumire cont (optional)
|
||||
sort_by: Coloană pentru sortare
|
||||
sort_order: Ordinea sortării (asc/desc)
|
||||
page: Pagina
|
||||
page_size: Mărimea paginii
|
||||
username: Username pentru cache tracking
|
||||
|
||||
Returns:
|
||||
Dictionary cu items, pagination, filters_applied
|
||||
"""
|
||||
# Get schema (cached separately)
|
||||
schema = await TrialBalanceService._get_schema(company_id)
|
||||
|
||||
# Validate sort_order
|
||||
if sort_order.lower() not in ['asc', 'desc']:
|
||||
sort_order = 'asc'
|
||||
|
||||
# Validate sort_by (prevent SQL injection)
|
||||
valid_sort_columns = ['CONT', 'DENUMIRE', 'PRECDEB', 'PRECCRED',
|
||||
'RULDEB', 'RULCRED', 'SOLDDEB', 'SOLDCRED']
|
||||
if sort_by.upper() not in valid_sort_columns:
|
||||
sort_by = 'CONT'
|
||||
|
||||
async with oracle_pool.get_connection() as connection:
|
||||
with connection.cursor() as cursor:
|
||||
# Build base query for VBAL VIEW
|
||||
base_query = f"""
|
||||
SELECT
|
||||
CONT,
|
||||
NVL(DENUMIRE, '') as DENUMIRE,
|
||||
NVL(PRECDEB, 0) as PRECDEB,
|
||||
NVL(PRECCRED, 0) as PRECCRED,
|
||||
NVL(RULDEB, 0) as RULDEB,
|
||||
NVL(RULCRED, 0) as RULCRED,
|
||||
NVL(SOLDDEB, 0) as SOLDDEB,
|
||||
NVL(SOLDCRED, 0) as SOLDCRED
|
||||
FROM {schema}.VBAL
|
||||
WHERE AN = :an
|
||||
AND LUNA = :luna
|
||||
"""
|
||||
|
||||
params = {
|
||||
'an': an,
|
||||
'luna': luna
|
||||
}
|
||||
|
||||
# Add dynamic filters
|
||||
if cont_filter:
|
||||
base_query += " AND CONT LIKE :cont_filter"
|
||||
params['cont_filter'] = f"{cont_filter}%"
|
||||
|
||||
if denumire_filter:
|
||||
base_query += " AND UPPER(DENUMIRE) LIKE UPPER(:denumire_filter)"
|
||||
params['denumire_filter'] = f"%{denumire_filter}%"
|
||||
|
||||
# Count total for pagination
|
||||
count_query = f"SELECT COUNT(*) FROM ({base_query})"
|
||||
cursor.execute(count_query, params)
|
||||
total_count = cursor.fetchone()[0]
|
||||
|
||||
# Add sorting
|
||||
base_query += f" ORDER BY {sort_by.upper()} {sort_order.upper()}"
|
||||
|
||||
# Pagination (Oracle ROWNUM with ORDER BY)
|
||||
offset = (page - 1) * page_size
|
||||
limit = offset + page_size
|
||||
|
||||
paginated_query = f"""
|
||||
SELECT * FROM (
|
||||
SELECT a.*, ROWNUM rnum FROM (
|
||||
{base_query}
|
||||
) a WHERE ROWNUM <= :limit
|
||||
) WHERE rnum > :offset
|
||||
"""
|
||||
params['offset'] = offset
|
||||
params['limit'] = limit
|
||||
|
||||
cursor.execute(paginated_query, params)
|
||||
rows = cursor.fetchall()
|
||||
|
||||
# Process results
|
||||
# Index: CONT(0), DENUMIRE(1), PRECDEB(2), PRECCRED(3),
|
||||
# RULDEB(4), RULCRED(5), SOLDDEB(6), SOLDCRED(7), rnum(8)
|
||||
items = []
|
||||
for row in rows:
|
||||
item = TrialBalanceItem(
|
||||
cont=row[0] or '',
|
||||
denumire=row[1] or '',
|
||||
sold_precedent_debit=Decimal(str(row[2] or 0)),
|
||||
sold_precedent_credit=Decimal(str(row[3] or 0)),
|
||||
rulaj_lunar_debit=Decimal(str(row[4] or 0)),
|
||||
rulaj_lunar_credit=Decimal(str(row[5] or 0)),
|
||||
sold_final_debit=Decimal(str(row[6] or 0)),
|
||||
sold_final_credit=Decimal(str(row[7] or 0))
|
||||
)
|
||||
items.append(item.dict())
|
||||
|
||||
# Calculate pagination
|
||||
total_pages = math.ceil(total_count / page_size) if page_size > 0 else 0
|
||||
|
||||
# Build response
|
||||
return {
|
||||
"items": items,
|
||||
"pagination": {
|
||||
"total_items": total_count,
|
||||
"total_pages": total_pages,
|
||||
"current_page": page,
|
||||
"page_size": page_size
|
||||
},
|
||||
"filters_applied": {
|
||||
"luna": luna,
|
||||
"an": an,
|
||||
"cont_filter": cont_filter,
|
||||
"denumire_filter": denumire_filter
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user