208 lines
7.0 KiB
Python
208 lines
7.0 KiB
Python
"""Monitor 分析子进程入口
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每路摄像头在独立进程中运行 CameraPipeline，绕过 GIL，与主进程通过 Queue 通信：
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- event_queue: 子 → 主，上报检测/区域/追踪事件
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- cmd_queue: 主 → 子，stop / reload_zones
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- status_dict: 共享状态（Manager.dict），供 openStatus 读取 FPS
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"""
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import json
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import logging
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import multiprocessing as mp
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import os
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import queue
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import time
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logger = logging.getLogger("analysis.process_worker")
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def _algorithm_spec_from_dict(d):
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return d
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def _build_detectors_in_process(algorithm_specs, infer_req_q=None, infer_resp_q=None):
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"""在子进程中构造检测器；若提供 infer_req_q/infer_resp_q 则走主进程共享推理池"""
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detectors = []
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if infer_req_q is not None and infer_resp_q is not None:
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from app.analysis.remote_detector import RemoteDetector
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for spec in algorithm_specs:
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detectors.append({
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"algorithm_id": spec.get("id", 0),
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"algorithm_name": spec.get("name", ""),
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"engine": RemoteDetector(spec, infer_req_q, infer_resp_q),
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})
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else:
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from app.analysis.worker_pool import DetectorWorkerPool
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pool = DetectorWorkerPool()
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class _AlgoObj(object):
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pass
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for spec in algorithm_specs:
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o = _AlgoObj()
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for k, v in spec.items():
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setattr(o, k, v)
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eng = pool.get_detector(o)
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if eng:
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detectors.append({
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"algorithm_id": spec.get("id", 0),
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"algorithm_name": spec.get("name", ""),
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"engine": eng,
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})
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return detectors
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def pipeline_process_main(config, event_queue, cmd_queue, status_dict,
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infer_req_q=None, infer_resp_q=None):
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"""子进程主函数（spawn 入口，config 必须为纯 dict）"""
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from app.utils.Logger import LOG_FORMAT
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logging.basicConfig(level=logging.INFO, format=LOG_FORMAT)
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log = logging.getLogger("analysis.process_worker")
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from app.analysis.pipeline import CameraPipeline
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from app.analysis.motion import MotionDetector
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stream_id = config["stream_id"]
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stream_code = config.get("stream_code", str(stream_id))
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rtsp_url = config["rtsp_url"]
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target_fps = config.get("target_fps", 5)
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analyze_fps = config.get("analyze_fps", target_fps)
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zones = config.get("zones") or []
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algorithm_specs = config.get("algorithms") or []
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use_shared_inference = bool(config.get("use_shared_inference", True))
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storage_alarm_dir = config.get("storage_alarm_dir") or ""
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static_dir = config.get("static_dir") or ""
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def on_event(ev):
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try:
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event_queue.put(("event", ev), timeout=2.0)
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except Exception as e:
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log.warning("事件入队失败: %s", e)
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def on_track_snapshot(sid, frame_index, active, has_motion):
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try:
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event_queue.put(("touch", {
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"stream_id": sid,
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"active": active,
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"has_motion": has_motion,
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}), timeout=1.0)
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except Exception:
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pass
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detectors = _build_detectors_in_process(
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algorithm_specs,
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infer_req_q if use_shared_inference else None,
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infer_resp_q if use_shared_inference else None,
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)
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if not detectors and not algorithm_specs:
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log.info("pipeline[%s] 无算法，仅运动检测", stream_code)
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motion = MotionDetector()
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pipeline = CameraPipeline(
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stream_id=stream_id,
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stream_code=stream_code,
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rtsp_url=rtsp_url,
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detectors=detectors,
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motion=motion,
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target_fps=target_fps,
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analyze_fps=analyze_fps,
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on_event=on_event,
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on_track_snapshot=on_track_snapshot,
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zone_polygons=zones,
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storage_alarm_dir=storage_alarm_dir,
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static_dir=static_dir,
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)
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pipeline._algorithm_name = ", ".join(d.get("name", "") for d in algorithm_specs) or "motion-only"
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import threading
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def status_reporter():
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# 等待 pipeline.run() 启动（_running 在 run() 里才置 True，
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# 否则 while pipeline._running 条件不满足会立即退出，导致 status_dict 永远为空）
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_wait = 0
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while not pipeline._running and _wait < 100:
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time.sleep(0.1)
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_wait += 1
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while pipeline._running:
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try:
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st = pipeline.status()
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status_dict[str(stream_id)] = st
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except Exception:
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pass
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time.sleep(1.0)
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reporter = threading.Thread(target=status_reporter, name="status-%s" % stream_id, daemon=True)
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reporter.start()
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def cmd_listener():
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while pipeline._running:
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try:
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cmd = cmd_queue.get(timeout=0.5)
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except queue.Empty:
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continue
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if not cmd:
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continue
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try:
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if cmd.get("cmd") == "stop":
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pipeline.stop()
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break
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if cmd.get("cmd") == "reload_zones":
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pipeline.set_zone_polygons(cmd.get("zones") or [])
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if cmd.get("analyze_fps") is not None:
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pipeline.set_analyze_fps(cmd.get("analyze_fps"))
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except Exception as e:
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log.exception("pipeline[%s] 命令处理失败: %s", stream_code, e)
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cmd_thread = threading.Thread(target=cmd_listener, name="cmd-%s" % stream_id, daemon=True)
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cmd_thread.start()
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log.info("pipeline 子进程启动 stream=%s url=%s", stream_code, rtsp_url)
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try:
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pipeline.run()
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finally:
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try:
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status_dict.pop(str(stream_id), None)
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except Exception:
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pass
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log.info("pipeline 子进程退出 stream=%s", stream_code)
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class PipelineProcessHandle(object):
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"""主进程侧对子进程的封装"""
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def __init__(self, stream_id, process, event_queue, cmd_queue, status_dict):
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self.stream_id = stream_id
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self.process = process
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self.event_queue = event_queue
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self.cmd_queue = cmd_queue
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self.status_dict = status_dict
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self.running = True
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def stop(self, timeout=5):
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self.running = False
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try:
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self.cmd_queue.put({"cmd": "stop"}, timeout=1.0)
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except Exception:
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pass
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try:
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self.process.join(timeout=timeout)
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if self.process.is_alive():
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self.process.terminate()
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self.process.join(timeout=2)
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except Exception:
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pass
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def reload_zones(self, zones, analyze_fps=None):
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try:
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payload = {"cmd": "reload_zones", "zones": zones}
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if analyze_fps is not None:
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payload["analyze_fps"] = analyze_fps
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self.cmd_queue.put(payload, timeout=1.0)
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except Exception as e:
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logger.warning("reload_zones 发送失败: %s", e)
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def status(self):
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try:
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return self.status_dict.get(str(self.stream_id))
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except Exception:
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return None
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