wag-managment-api-service-l.../docs/improvements/detailed_improvement_plan.md

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# Detailed Improvement Plan
## 1. Infrastructure & Deployment
### Service Isolation and Containerization
- **Microservices Architecture**
```
/services
├── auth-service/
│ ├── Dockerfile
│ └── docker-compose.yml
├── event-service/
│ ├── Dockerfile
│ └── docker-compose.yml
└── validation-service/
├── Dockerfile
└── docker-compose.yml
```
- **Service Discovery**
- Implement Consul for service registry
- Add health check endpoints
- Create service mesh with Istio
### API Gateway Implementation
```yaml
# api-gateway.yml
services:
gateway:
routes:
- id: auth-service
uri: lb://auth-service
predicates:
- Path=/api/auth/**
filters:
- RateLimit=100,1s
- CircuitBreaker=3,10s
```
### Monitoring Stack
- **Distributed Tracing**
```python
from opentelemetry import trace
from opentelemetry.exporter import jaeger
tracer = trace.get_tracer(__name__)
with tracer.start_as_current_span("operation") as span:
span.set_attribute("attribute", value)
```
- **Metrics Collection**
- Prometheus for metrics
- Grafana for visualization
- Custom dashboards for each service
### Configuration Management
```python
# config_service.py
class ConfigService:
def __init__(self):
self.consul_client = Consul()
def get_config(self, service_name: str) -> Dict:
return self.consul_client.kv.get(f"config/{service_name}")
def update_config(self, service_name: str, config: Dict):
self.consul_client.kv.put(f"config/{service_name}", config)
```
## 2. Performance & Scaling
### Enhanced Caching Strategy
```python
# redis_cache.py
class RedisCache:
def __init__(self):
self.client = Redis(cluster_mode=True)
async def get_or_set(self, key: str, callback: Callable):
if value := await self.client.get(key):
return value
value = await callback()
await self.client.set(key, value, ex=3600)
return value
```
### Database Optimization
```sql
-- Sharding Example
CREATE TABLE users_shard_1 PARTITION OF users
FOR VALUES WITH (modulus 3, remainder 0);
CREATE TABLE users_shard_2 PARTITION OF users
FOR VALUES WITH (modulus 3, remainder 1);
```
### Event System Enhancement
```python
# event_publisher.py
class EventPublisher:
def __init__(self):
self.kafka_producer = KafkaProducer()
async def publish(self, topic: str, event: Dict):
await self.kafka_producer.send(
topic,
value=event,
headers=[("version", "1.0")]
)
```
### Background Processing
```python
# job_processor.py
class JobProcessor:
def __init__(self):
self.celery = Celery()
self.connection_pool = ConnectionPool(max_size=100)
@celery.task
async def process_job(self, job_data: Dict):
async with self.connection_pool.acquire() as conn:
await conn.execute(job_data)
```
## 3. Security & Reliability
### API Security Enhancement
```python
# security.py
class SecurityMiddleware:
def __init__(self):
self.rate_limiter = RateLimiter()
self.key_rotator = KeyRotator()
async def process_request(self, request: Request):
await self.rate_limiter.check(request.client_ip)
await self.key_rotator.validate(request.api_key)
```
### Error Handling System
```python
# error_handler.py
class ErrorHandler:
def __init__(self):
self.sentry_client = Sentry()
self.circuit_breaker = CircuitBreaker()
async def handle_error(self, error: Exception):
await self.sentry_client.capture_exception(error)
await self.circuit_breaker.record_error()
```
### Testing Framework
```python
# integration_tests.py
class IntegrationTests:
async def setup(self):
self.containers = await TestContainers.start([
"postgres", "redis", "kafka"
])
async def test_end_to_end(self):
await self.setup()
# Test complete user journey
await self.cleanup()
```
### Audit System
```python
# audit.py
class AuditLogger:
def __init__(self):
self.elastic = Elasticsearch()
async def log_action(
self,
user_id: str,
action: str,
resource: str,
changes: Dict
):
await self.elastic.index({
"user_id": user_id,
"action": action,
"resource": resource,
"changes": changes,
"timestamp": datetime.utcnow()
})
```
## 4. Development Experience
### Domain-Driven Design
```
/src
├── domain/
│ ├── entities/
│ ├── value_objects/
│ └── aggregates/
├── application/
│ ├── commands/
│ └── queries/
└── infrastructure/
├── repositories/
└── services/
```
### API Documentation
```python
# main.py
from fastapi import FastAPI
from fastapi.openapi.utils import get_openapi
app = FastAPI()
def custom_openapi():
return get_openapi(
title="WAG Management API",
version="4.0.0",
description="Complete API documentation",
routes=app.routes
)
app.openapi = custom_openapi
```
### Translation Management
```python
# i18n.py
class TranslationService:
def __init__(self):
self.translations = {}
self.fallback_chain = ["tr", "en"]
async def get_translation(
self,
key: str,
lang: str,
fallback: bool = True
) -> str:
if translation := self.translations.get(f"{lang}.{key}"):
return translation
if fallback:
for lang in self.fallback_chain:
if translation := self.translations.get(f"{lang}.{key}"):
return translation
return key
```
### Developer Tools
```python
# debug_toolkit.py
class DebugToolkit:
def __init__(self):
self.profiler = cProfile.Profile()
self.debugger = pdb.Pdb()
def profile_function(self, func: Callable):
def wrapper(*args, **kwargs):
self.profiler.enable()
result = func(*args, **kwargs)
self.profiler.disable()
return result
return wrapper
```
## Implementation Priority
1. **Phase 1 - Foundation** (1-2 months)
- Service containerization
- Basic monitoring
- API gateway setup
- Security enhancements
2. **Phase 2 - Scaling** (2-3 months)
- Caching implementation
- Database optimization
- Event system upgrade
- Background jobs
3. **Phase 3 - Reliability** (1-2 months)
- Error handling
- Testing framework
- Audit system
- Performance monitoring
4. **Phase 4 - Developer Experience** (1-2 months)
- Documentation
- Development tools
- Translation system
- Code organization
## Success Metrics
- **Performance**
- Response time < 100ms for 95% of requests
- Cache hit rate > 80%
- Zero downtime deployments
- **Reliability**
- 99.99% uptime
- < 0.1% error rate
- < 1s failover time
- **Security**
- Zero critical vulnerabilities
- 100% audit log coverage
- < 1hr security incident response time
- **Development**
- 80% test coverage
- < 24hr PR review time
- < 1 day developer onboarding