3d7bd70355
- 新增 Alembic 初始迁移、领域明细模型及归档持久化与重试链路\n- 拆分视频会话注册表、分类处理、推理时间窗聚合与流处理\n- 消耗日志：TSV/Markdown 含 top2/top3；item_id 优先产品编码；待确认记「待确认」行，语音确认后落正式行并更新汇总\n- 待确认时内存/DB 明细为占位行，确认后替换；拒绝时移除占位\n- 分类 probs 先 detach/cpu 再转 NumPy，修复 MPS/CUDA 上推理被静默跳过\n- 补充集成测试、归档与设备张量等单测 Made-with: Cursor
122 lines
4.2 KiB
Python
122 lines
4.2 KiB
Python
"""单路 RTSP 拉流 worker：负责打开、重连、读帧分发。
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从 ``CameraSessionManager._camera_worker`` 抽出，保持同样的行为：
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- 打开失败 → 退避 → 重试。
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- 连续读帧失败达到阈值 → 释放连接 → 退避 → 重试。
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- 读到可用帧后交给上游 ``frame_handler``，由其决定是否推理 / 跳帧。
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不知道手术会话、推理结果或数据库。日志中出现 RTSP URL 时会脱敏 user:password。
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"""
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from __future__ import annotations
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import asyncio
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import re
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from typing import Awaitable, Callable
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from loguru import logger
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from app.config import Settings
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from app.services.video.rtsp_capture import RtspCapture
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FrameHandler = Callable[[object], Awaitable[None]]
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_RTSP_CRED_RE = re.compile(r"(?P<scheme>rtsp://)(?P<userinfo>[^@/\s]+@)")
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def redact_rtsp_url(url: str | None) -> str:
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"""把 ``rtsp://user:pwd@host/...`` 脱敏为 ``rtsp://***@host/...``。"""
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if not url:
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return ""
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return _RTSP_CRED_RE.sub(r"\g<scheme>***@", url)
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class CameraStreamWorker:
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"""以 async 循环封装单路 RTSP 的重连/读帧，交由 handler 处理帧。"""
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def __init__(
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self,
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*,
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settings: Settings,
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surgery_id: str,
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camera_id: str,
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url: str,
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) -> None:
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self._s = settings
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self._surgery_id = surgery_id
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self._camera_id = camera_id
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self._url = url
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async def run(
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self,
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*,
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stream_ready: asyncio.Event,
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stop_event: asyncio.Event,
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frame_handler: FrameHandler,
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) -> None:
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cap: RtspCapture | None = None
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consecutive_failures = 0
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first_ready = True
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safe_url = redact_rtsp_url(self._url)
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try:
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while not stop_event.is_set():
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if cap is None:
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try:
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cap = RtspCapture(
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self._url, open_timeout_sec=self._s.video_open_timeout_sec
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)
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await asyncio.to_thread(cap.open)
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consecutive_failures = 0
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if first_ready:
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stream_ready.set()
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first_ready = False
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logger.info(
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"RTSP stream opened camera={} surgery={} url={}",
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self._camera_id,
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self._surgery_id,
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safe_url,
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)
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except Exception as exc:
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logger.warning(
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"RTSP open failed camera={} surgery={} url={}: {}",
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self._camera_id,
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self._surgery_id,
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safe_url,
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exc,
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)
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if cap is not None:
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await asyncio.to_thread(cap.release)
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cap = None
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await asyncio.sleep(self._s.video_reconnect_backoff_seconds)
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continue
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ok, frame = await asyncio.to_thread(cap.read)
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if not ok or frame is None:
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consecutive_failures += 1
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if (
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consecutive_failures
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>= self._s.video_read_failure_reconnect_threshold
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):
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logger.warning(
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"RTSP reconnect camera={} surgery={} url={} after {} read failures",
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self._camera_id,
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self._surgery_id,
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safe_url,
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consecutive_failures,
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)
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await asyncio.to_thread(cap.release)
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cap = None
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consecutive_failures = 0
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await asyncio.sleep(self._s.video_reconnect_backoff_seconds)
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else:
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await asyncio.sleep(0.05)
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continue
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consecutive_failures = 0
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await frame_handler(frame)
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finally:
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if cap is not None:
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await asyncio.to_thread(cap.release)
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