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go-algo-server / app.py
zhangyingjie on 19 Mar 1 KB 完善截图推送内容
# main.py
import asyncio
from config import CAMERAS, TCP_SERVER, HTTP_SERVER, MODEL
from tcp_client import AsyncTCPClient
from http_client import AsyncHTTPClient
from model_wrapper import ModelWrapper
from camera_processor import CameraProcessor
from handle_tcp_command import HandelTCPCommand
from global_logger import logger


async def main():
    logger.info("开始启动算法分析服务")

    cap_camera_processors = {}

    loop = asyncio.get_running_loop()  # 获取当前主线程的事件循环
    tcp_client = AsyncTCPClient(TCP_SERVER["host"], TCP_SERVER["port"])
    await tcp_client.connect()

    cap_upload_http_client = AsyncHTTPClient(HTTP_SERVER["url"], HTTP_SERVER["timeout"])
    alarm_upload_http_client = AsyncHTTPClient(HTTP_SERVER["url"], HTTP_SERVER["timeout"])

    # 启动 TCP 和 HTTP 的发送任务
    asyncio.create_task(tcp_client.send_loop())
    asyncio.create_task(tcp_client.receive_loop())
    asyncio.create_task(cap_upload_http_client.send_loop())
    asyncio.create_task(alarm_upload_http_client.send_loop())

    model_wrapper = ModelWrapper(MODEL["path"], MODEL["size"], MODEL["class_map"], MODEL["batch_size"])

    # 为每个摄像头启动一个处理线程,并传入事件循环
    for camera_config in CAMERAS:
        camera_thread = CameraProcessor(camera_config, model_wrapper, tcp_client, alarm_upload_http_client, loop,
                                        MODEL["batch_size"])
        camera_thread.start()

        if camera_config.get("receive_capture_command", False):
            cam_id = camera_config.get('cam_id')
            cap_camera_processors[cam_id] = camera_thread
    
     # 创建TCP命令处理器并注册回调,直接传入http_client
    handler = HandelTCPCommand(cap_camera_processors, cap_upload_http_client)
    tcp_client.register_command_handler(handler.handle_capture_command)

    while True:
        await asyncio.sleep(1)


if __name__ == '__main__':
    asyncio.run(main())