142 lines
4.8 KiB
Python
142 lines
4.8 KiB
Python
from PIL import Image
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import numpy as np
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import uvicorn
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import threading
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import time
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import os
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from fastapi import FastAPI
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# 新增：导入 CORS 相关依赖
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from fastapi.middleware.cors import CORSMiddleware
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# 导入 Flask 服务实例
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from app import app as flask_app
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# 原有业务导入
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from core.all import load_model, detect
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from ds.config import SERVER_CONFIG
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from middle.error_handler import global_exception_handler
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from service.user_service import router as user_router
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from service.sensitive_service import router as sensitive_router
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from service.face_service import router as face_router
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from service.device_service import router as device_router
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from service.model_service import router as model_router # 模型管理路由
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from ws.ws import ws_router, lifespan
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from core.establish import create_directory_structure
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# Flask 服务启动函数（不变）
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def start_flask_service():
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try:
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print(f"\n[Flask 服务] 准备启动，端口：5000")
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print(f"[Flask 服务] 访问示例：http://服务器IP:5000/resource/dect/ocr/xxx.jpg\n")
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BASE_IMAGE_DIR = os.path.abspath(os.path.join("resource", "dect"))
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if not os.path.exists(BASE_IMAGE_DIR):
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print(f"[Flask 服务] 图片根目录不存在，创建：{BASE_IMAGE_DIR}")
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os.makedirs(BASE_IMAGE_DIR, exist_ok=True)
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flask_app.run(
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host="0.0.0.0",
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port=5000,
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debug=False,
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use_reloader=False
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)
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except Exception as e:
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print(f"[Flask 服务] 启动失败：{str(e)}")
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# 初始化 FastAPI 应用（新增 CORS 配置）
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app = FastAPI(
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title="内容安全审核后台",
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description="含图片访问服务和动态模型管理",
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version="1.0.0",
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lifespan=lifespan
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)
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# ------------------------------
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# 新增：完整 CORS 配置（解决跨域问题）
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# ------------------------------
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# 1. 允许的前端域名（根据实际情况修改！本地开发通常是 http://localhost:8080 等）
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ALLOWED_ORIGINS = [
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# "http://localhost:8080", # 前端本地开发地址（必改，填实际前端地址）
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# "http://127.0.0.1:8080",
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# "http://服务器IP:8080", # 部署后前端地址（如适用）
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"*" #表示允许所有域名（开发环境可用，生产环境不推荐）
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]
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# 2. 配置 CORS 中间件
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app.add_middleware(
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CORSMiddleware,
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allow_origins=ALLOWED_ORIGINS, # 允许的前端域名
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allow_credentials=True, # 允许携带 Cookie（如需登录态则必开）
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allow_methods=["*"], # 允许所有 HTTP 方法（包括 PUT/DELETE）
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allow_headers=["*"], # 允许所有请求头（包括 Content-Type）
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)
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# 注册路由（不变）
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app.include_router(user_router)
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app.include_router(device_router)
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app.include_router(face_router)
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app.include_router(sensitive_router)
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app.include_router(model_router) # 模型管理路由
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app.include_router(ws_router)
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# 注册全局异常处理器（不变）
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app.add_exception_handler(Exception, global_exception_handler)
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# 主服务启动入口（不变）
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if __name__ == "__main__":
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# 1. 初始化资源
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create_directory_structure()
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print(f"[初始化] 目录结构创建完成")
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# 创建模型保存目录
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MODEL_SAVE_DIR = os.path.join("core", "models")
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os.makedirs(MODEL_SAVE_DIR, exist_ok=True)
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print(f"[初始化] 模型保存目录：{MODEL_SAVE_DIR}")
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# # 模型路径配置
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# YOLO_MODEL_PATH = os.path.join("core", "models", "best.pt")
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# OCR_CONFIG_PATH = os.path.join("core", "config", "config.yaml")
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# print(f"[初始化] 默认YOLO模型路径：{YOLO_MODEL_PATH}")
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# print(f"[初始化] OCR 配置路径：{OCR_CONFIG_PATH}")
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# 加载检测模型
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try:
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load_success = load_model()
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if load_success:
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print(f"[初始化] 检测模型加载完成")
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else:
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print(f"[初始化] 未找到默认模型，可通过API上传并设置默认模型")
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except Exception as e:
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print(f"[初始化] 模型加载警告：{str(e)}（服务仍启动）")
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# 2. 启动 Flask 服务（子线程）
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flask_thread = threading.Thread(
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target=start_flask_service,
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daemon=True
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)
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flask_thread.start()
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# 等待 Flask 初始化
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time.sleep(1)
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if flask_thread.is_alive():
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print(f"[Flask 服务] 启动成功（运行中）")
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else:
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print(f"[Flask 服务] 启动失败！图片访问不可用")
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# 3. 启动 FastAPI 主服务
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port = int(SERVER_CONFIG.get("port", 8000))
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print(f"\n[FastAPI 服务] 准备启动，端口：{port}")
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print(f"[FastAPI 服务] 接口文档：http://服务器IP:{port}/docs\n")
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uvicorn.run(
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app="main:app",
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host="0.0.0.0",
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port=port,
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workers=1,
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ws="websockets",
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reload=False
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) |