- requirements.txt, config.yaml, .env, Dockerfile, docker-compose.yml - app/core: config (YAML+env override), logging (JSON structured), exceptions (typed hierarchy), json_utils (Markdown fence stripping) - app/clients: LLMClient ABC + ZhipuAIClient (run_in_executor), StorageClient ABC + RustFSClient (boto3 head_object for size check) - app/main.py: FastAPI app with health endpoint and router registration - app/core/dependencies.py: lru_cache singleton factories - tests/conftest.py: mock_llm, mock_storage, test_app, client fixtures - pytest.ini: asyncio_mode=auto - 11 unit tests passing
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from app.core.exceptions import (
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AIServiceError,
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ai_service_exception_handler,
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unhandled_exception_handler,
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)
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from app.core.logging import RequestLoggingMiddleware, get_logger
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logger = get_logger(__name__)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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logger.info("startup", extra={"message": "AI service starting"})
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yield
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logger.info("shutdown", extra={"message": "AI service stopping"})
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app = FastAPI(
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title="Label AI Service",
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description="知识图谱标注平台 AI 计算服务",
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version="1.0.0",
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lifespan=lifespan,
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)
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app.add_middleware(RequestLoggingMiddleware)
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app.add_exception_handler(AIServiceError, ai_service_exception_handler)
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app.add_exception_handler(Exception, unhandled_exception_handler)
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@app.get("/health", tags=["Health"])
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async def health():
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return {"status": "ok"}
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# Routers registered after implementation (imported lazily to avoid circular deps)
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from app.routers import text, image, video, qa, finetune # noqa: E402
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app.include_router(text.router, prefix="/api/v1")
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app.include_router(image.router, prefix="/api/v1")
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app.include_router(video.router, prefix="/api/v1")
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app.include_router(qa.router, prefix="/api/v1")
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app.include_router(finetune.router, prefix="/api/v1")
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