new api service and logic implemented
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docs/improvements/detailed_improvement_plan.md
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311
docs/improvements/detailed_improvement_plan.md
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# Detailed Improvement Plan
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## 1. Infrastructure & Deployment
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### Service Isolation and Containerization
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- **Microservices Architecture**
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```
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/services
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├── auth-service/
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│ ├── Dockerfile
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│ └── docker-compose.yml
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├── event-service/
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│ ├── Dockerfile
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│ └── docker-compose.yml
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└── validation-service/
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├── Dockerfile
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└── docker-compose.yml
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```
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- **Service Discovery**
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- Implement Consul for service registry
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- Add health check endpoints
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- Create service mesh with Istio
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### API Gateway Implementation
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```yaml
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# api-gateway.yml
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services:
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gateway:
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routes:
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- id: auth-service
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uri: lb://auth-service
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predicates:
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- Path=/api/auth/**
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filters:
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- RateLimit=100,1s
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- CircuitBreaker=3,10s
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```
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### Monitoring Stack
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- **Distributed Tracing**
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```python
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from opentelemetry import trace
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from opentelemetry.exporter import jaeger
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tracer = trace.get_tracer(__name__)
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with tracer.start_as_current_span("operation") as span:
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span.set_attribute("attribute", value)
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```
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- **Metrics Collection**
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- Prometheus for metrics
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- Grafana for visualization
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- Custom dashboards for each service
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### Configuration Management
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```python
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# config_service.py
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class ConfigService:
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def __init__(self):
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self.consul_client = Consul()
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def get_config(self, service_name: str) -> Dict:
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return self.consul_client.kv.get(f"config/{service_name}")
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def update_config(self, service_name: str, config: Dict):
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self.consul_client.kv.put(f"config/{service_name}", config)
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```
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## 2. Performance & Scaling
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### Enhanced Caching Strategy
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```python
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# redis_cache.py
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class RedisCache:
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def __init__(self):
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self.client = Redis(cluster_mode=True)
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async def get_or_set(self, key: str, callback: Callable):
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if value := await self.client.get(key):
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return value
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value = await callback()
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await self.client.set(key, value, ex=3600)
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return value
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```
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### Database Optimization
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```sql
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-- Sharding Example
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CREATE TABLE users_shard_1 PARTITION OF users
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FOR VALUES WITH (modulus 3, remainder 0);
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CREATE TABLE users_shard_2 PARTITION OF users
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FOR VALUES WITH (modulus 3, remainder 1);
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```
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### Event System Enhancement
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```python
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# event_publisher.py
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class EventPublisher:
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def __init__(self):
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self.kafka_producer = KafkaProducer()
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async def publish(self, topic: str, event: Dict):
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await self.kafka_producer.send(
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topic,
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value=event,
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headers=[("version", "1.0")]
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)
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```
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### Background Processing
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```python
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# job_processor.py
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class JobProcessor:
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def __init__(self):
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self.celery = Celery()
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self.connection_pool = ConnectionPool(max_size=100)
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@celery.task
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async def process_job(self, job_data: Dict):
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async with self.connection_pool.acquire() as conn:
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await conn.execute(job_data)
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```
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## 3. Security & Reliability
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### API Security Enhancement
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```python
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# security.py
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class SecurityMiddleware:
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def __init__(self):
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self.rate_limiter = RateLimiter()
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self.key_rotator = KeyRotator()
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async def process_request(self, request: Request):
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await self.rate_limiter.check(request.client_ip)
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await self.key_rotator.validate(request.api_key)
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```
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### Error Handling System
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```python
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# error_handler.py
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class ErrorHandler:
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def __init__(self):
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self.sentry_client = Sentry()
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self.circuit_breaker = CircuitBreaker()
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async def handle_error(self, error: Exception):
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await self.sentry_client.capture_exception(error)
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await self.circuit_breaker.record_error()
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```
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### Testing Framework
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```python
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# integration_tests.py
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class IntegrationTests:
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async def setup(self):
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self.containers = await TestContainers.start([
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"postgres", "redis", "kafka"
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])
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async def test_end_to_end(self):
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await self.setup()
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# Test complete user journey
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await self.cleanup()
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```
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### Audit System
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```python
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# audit.py
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class AuditLogger:
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def __init__(self):
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self.elastic = Elasticsearch()
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async def log_action(
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self,
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user_id: str,
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action: str,
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resource: str,
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changes: Dict
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):
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await self.elastic.index({
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"user_id": user_id,
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"action": action,
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"resource": resource,
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"changes": changes,
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"timestamp": datetime.utcnow()
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})
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```
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## 4. Development Experience
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### Domain-Driven Design
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```
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/src
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├── domain/
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│ ├── entities/
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│ ├── value_objects/
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│ └── aggregates/
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├── application/
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│ ├── commands/
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│ └── queries/
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└── infrastructure/
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├── repositories/
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└── services/
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```
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### API Documentation
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```python
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# main.py
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from fastapi import FastAPI
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from fastapi.openapi.utils import get_openapi
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app = FastAPI()
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def custom_openapi():
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return get_openapi(
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title="WAG Management API",
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version="4.0.0",
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description="Complete API documentation",
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routes=app.routes
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)
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app.openapi = custom_openapi
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```
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### Translation Management
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```python
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# i18n.py
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class TranslationService:
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def __init__(self):
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self.translations = {}
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self.fallback_chain = ["tr", "en"]
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async def get_translation(
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self,
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key: str,
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lang: str,
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fallback: bool = True
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) -> str:
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if translation := self.translations.get(f"{lang}.{key}"):
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return translation
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if fallback:
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for lang in self.fallback_chain:
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if translation := self.translations.get(f"{lang}.{key}"):
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return translation
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return key
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```
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### Developer Tools
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```python
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# debug_toolkit.py
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class DebugToolkit:
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def __init__(self):
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self.profiler = cProfile.Profile()
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self.debugger = pdb.Pdb()
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def profile_function(self, func: Callable):
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def wrapper(*args, **kwargs):
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self.profiler.enable()
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result = func(*args, **kwargs)
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self.profiler.disable()
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return result
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return wrapper
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```
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## Implementation Priority
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1. **Phase 1 - Foundation** (1-2 months)
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- Service containerization
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- Basic monitoring
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- API gateway setup
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- Security enhancements
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2. **Phase 2 - Scaling** (2-3 months)
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- Caching implementation
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- Database optimization
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- Event system upgrade
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- Background jobs
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3. **Phase 3 - Reliability** (1-2 months)
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- Error handling
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- Testing framework
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- Audit system
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- Performance monitoring
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4. **Phase 4 - Developer Experience** (1-2 months)
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- Documentation
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- Development tools
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- Translation system
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- Code organization
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## Success Metrics
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- **Performance**
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- Response time < 100ms for 95% of requests
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- Cache hit rate > 80%
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- Zero downtime deployments
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- **Reliability**
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- 99.99% uptime
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- < 0.1% error rate
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- < 1s failover time
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- **Security**
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- Zero critical vulnerabilities
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- 100% audit log coverage
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- < 1hr security incident response time
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- **Development**
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- 80% test coverage
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- < 24hr PR review time
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- < 1 day developer onboarding
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