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274"""Dependency injection for shared clients and services."""
from collections.abc import AsyncGenerator
from functools import lru_cache
from typing import Any
import boto3
import redis.asyncio as redis
from botocore.config import Config
from fastapi import Depends
from .config import settings
from .services.document_processing_service import DocumentProcessingService
from .services.job_service import JobService
from .services.queue_service import QueueService
from .services.rate_limit_service import RateLimitService
from .services.s3_cleanup_service import S3CleanupService
from .services.s3_url_service import S3URLService
from .services.storage_service import StorageService
# Singleton S3 client for connection reuse
_s3_client = None
@lru_cache
def _get_s3_client_singleton() -> Any:
"""Create singleton S3 client for connection reuse across requests.
In production AWS: Uses IAM role credentials (no keys needed)
In local dev: Uses Floci endpoint with test credentials
"""
retry_config = Config(
retries={
"mode": "adaptive",
"max_attempts": 3,
},
connect_timeout=10,
read_timeout=60,
max_pool_connections=50,
)
# boto3 automatically reads AWS_ENDPOINT_URL_S3 from environment (points
# at Floci in dev/CI). In production, it uses IAM role credentials.
# Clear empty AWS_PROFILE to prevent boto3 profile lookup error
import os
if os.environ.get("AWS_PROFILE") == "":
del os.environ["AWS_PROFILE"]
return boto3.client(
service_name="s3",
region_name=settings.aws_region,
config=retry_config,
)
# Client dependencies with proper resource cleanup
async def get_s3_client() -> AsyncGenerator[Any, None]:
"""Get S3 client (Floci or AWS) with optimized retry configuration.
Configures boto3 with:
- Adaptive retry mode (intelligent throttling and backoff)
- Connection pooling (50 connections)
- Reasonable timeouts (10s connect, 60s read)
Yields:
Configured boto3 S3 client with production-ready settings
Note:
This returns a singleton client to enable connection pooling
and circuit breaker state persistence across requests.
"""
yield _get_s3_client_singleton()
# Singleton Redis connection pool for connection reuse across requests
_redis_pool: redis.ConnectionPool | None = None
def _get_redis_pool() -> redis.ConnectionPool:
"""Get or create singleton Redis connection pool.
Returns a shared connection pool that persists across requests,
eliminating per-request connection overhead.
Returns:
Singleton Redis ConnectionPool instance
"""
global _redis_pool
if _redis_pool is None:
_redis_pool = redis.ConnectionPool.from_url(
settings.redis_url,
decode_responses=True,
max_connections=settings.redis_max_connections,
)
return _redis_pool
async def get_redis_client() -> AsyncGenerator[Any, None]:
"""Get Redis client from singleton connection pool.
Yields:
Redis client using shared connection pool
Note:
Uses singleton connection pool for efficient connection reuse.
Connections return to pool automatically - no explicit close needed.
"""
client = redis.Redis(connection_pool=_get_redis_pool())
yield client
# No close - connection returns to pool automatically
# Singleton StorageService for circuit breaker persistence
@lru_cache
def _get_storage_service_singleton() -> StorageService:
"""Create singleton StorageService for circuit breaker persistence."""
return StorageService(
s3_client=_get_s3_client_singleton(),
temp_bucket=settings.s3_temp_bucket,
results_bucket=settings.s3_results_bucket,
)
# Singleton S3URLService
@lru_cache
def _get_s3_url_service_singleton() -> S3URLService:
"""Create singleton S3URLService for URL generation."""
return S3URLService(
s3_client=_get_s3_client_singleton(),
temp_bucket=settings.s3_temp_bucket,
results_bucket=settings.s3_results_bucket,
)
# Singleton S3CleanupService
@lru_cache
def _get_s3_cleanup_service_singleton() -> S3CleanupService:
"""Create singleton S3CleanupService for cleanup operations."""
return S3CleanupService(
s3_client=_get_s3_client_singleton(),
temp_bucket=settings.s3_temp_bucket,
)
# Service dependencies
async def get_storage_service() -> StorageService:
"""Get storage service instance.
Returns:
Singleton StorageService instance with persistent circuit breakers
Note:
This returns a singleton service to ensure:
- Circuit breaker state persists across requests
- S3 connection pooling is effective
- Health checks are fast and reliable
In FastAPI routes, use: storage_service: StorageService = Depends(get_storage_service)
For workers, do NOT use this function. Instead:
s3_client = await anext(get_s3_client())
storage_service = StorageService(s3_client=s3_client, ...)
"""
return _get_storage_service_singleton()
async def get_s3_url_service() -> S3URLService:
"""Get S3 URL service instance.
Returns:
Singleton S3URLService instance for URL generation
Note:
In FastAPI routes, use: url_service: S3URLService = Depends(get_s3_url_service)
For workers, do NOT use this function. Instead:
s3_client = await anext(get_s3_client())
url_service = S3URLService(s3_client=s3_client, ...)
"""
return _get_s3_url_service_singleton()
async def get_s3_cleanup_service() -> S3CleanupService:
"""Get S3 cleanup service instance.
Returns:
Singleton S3CleanupService instance for cleanup operations
Note:
In FastAPI routes, use: cleanup: S3CleanupService = Depends(get_s3_cleanup_service)
For workers, do NOT use this function. Instead:
s3_client = await anext(get_s3_client())
cleanup = S3CleanupService(s3_client=s3_client, ...)
"""
return _get_s3_cleanup_service_singleton()
async def get_queue_service(redis_client: Any = Depends(get_redis_client)) -> QueueService:
"""Get queue service instance.
Args:
redis_client: Redis client (auto-injected by FastAPI Depends)
Returns:
Configured QueueService instance
Note:
In FastAPI routes, use: queue_service: QueueService = Depends(get_queue_service)
For workers, do NOT use this function. Instead:
redis_client = await anext(get_redis_client())
queue_service = QueueService(redis_client=redis_client)
"""
return QueueService(redis_client=redis_client)
async def get_job_service(redis_client: Any = Depends(get_redis_client)) -> JobService:
"""Get job service instance.
Args:
redis_client: Redis client (auto-injected by FastAPI Depends)
Returns:
Configured JobService instance
Note:
In FastAPI routes, use: job_service: JobService = Depends(get_job_service)
For workers, do NOT use this function. Instead:
redis_client = await anext(get_redis_client())
job_service = JobService(redis_client=redis_client)
"""
return JobService(redis_client=redis_client)
async def get_rate_limit_service(
redis_client: Any = Depends(get_redis_client),
) -> AsyncGenerator[RateLimitService, None]:
"""Get rate limit service instance.
Args:
redis_client: Redis client (auto-injected by FastAPI Depends)
Yields:
Configured RateLimitService instance
Note:
In FastAPI routes, use: rate_limiter: RateLimitService = Depends(get_rate_limit_service)
For workers, do NOT use this function. Instead:
redis_client = await anext(get_redis_client())
rate_limiter = RateLimitService(redis=redis_client)
"""
# RateLimitService expects 'redis' parameter, not 'redis_client'
yield RateLimitService(redis=redis_client)
async def get_document_processing_service(
redis_client: Any = Depends(get_redis_client),
storage: StorageService = Depends(get_storage_service),
s3_url: S3URLService = Depends(get_s3_url_service),
) -> DocumentProcessingService:
"""Get document processing service instance."""
return DocumentProcessingService(
redis_client=redis_client,
storage_service=storage,
s3_url_service=s3_url,
)