279 lines
9.4 KiB
Python
279 lines
9.4 KiB
Python
from __future__ import annotations
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import asyncio
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import shutil
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from pathlib import Path
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from typing import Dict, List, Set, Tuple
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from loguru import logger
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from app.compat import to_thread
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from app.db import (
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add_watch_processed,
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health_snapshot_deliverable,
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load_watch_processed,
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save_health_snapshot,
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)
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from app.logging_config import new_run_id, stage
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from app.services import action as action_svc
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from app.services.measure import transcode_src_to_h264_dst
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from app.services.video_slice import _get_ffmpeg_path
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from app.settings import Settings
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from app.state import app_state
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from app.watch_idle import IdleWatchWarnState, idle_warn_interval_sec, maybe_warn_idle_watch
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_ACTION_IDLE_WARN_INTERVAL_SEC = idle_warn_interval_sec(
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"FISH_ACTION_WATCH_IDLE_WARN_INTERVAL_SEC"
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)
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def _state_path(settings: Settings) -> Path:
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"""返回旧版 JSON 状态文件路径（仅用于兼容导入 SQLite）。"""
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assert settings.action_watch_dir is not None
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return settings.action_watch_dir / ".fishaction_watch_processed.json"
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_VIDEO_SUFFIXES = frozenset({".mp4", ".mkv", ".mov"})
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def iter_mp4(watch_dir: Path, recursive: bool) -> List[Path]:
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"""List video files (.mp4, .mkv, .mov) in *watch_dir*."""
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if recursive:
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return sorted(
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p
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for p in watch_dir.rglob("*")
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if p.is_file() and p.suffix.lower() in _VIDEO_SUFFIXES
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)
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return sorted(
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p
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for p in watch_dir.iterdir()
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if p.is_file() and p.suffix.lower() in _VIDEO_SUFFIXES
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)
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def _public_media_url(settings: Settings, basename: str) -> str:
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base = settings.public_base_url.rstrip("/")
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return f"{base}/media/{basename}"
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def _slice_media_basename(base_name: str, slice_index: int) -> str:
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"""生成切片视频的媒体文件名。"""
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base = Path(base_name).stem
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return f"{base}_slice_{slice_index:03d}.mp4"
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def _publish_slice_video(
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src: Path, dst: Path, settings: Settings,
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) -> str:
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"""Transcode and publish a single video slice to media_root.
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Returns the public URL on success, empty string on failure.
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"""
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tmp = dst.with_name(dst.stem + "_tmp.mp4")
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tmp.unlink(missing_ok=True)
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log = logger.bind(pipeline="action_watch", source=src.name)
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try:
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log.info(
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"[行为监控] 切片 H.264 转码开始 | ffmpeg={} | {} -> {}",
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_get_ffmpeg_path(),
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src.name,
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tmp.name,
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)
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ok = transcode_src_to_h264_dst(src, tmp)
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if ok and tmp.is_file() and tmp.stat().st_size > 0:
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tmp.replace(dst)
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log.info("[行为监控] 切片已发布为 H.264：{} -> {}", src.name, dst.name)
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else:
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tmp.unlink(missing_ok=True)
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shutil.copy2(src, dst)
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log.warning(
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"[行为监控] 转码失败，已直接拷贝原文件：{} -> {}（详见 measure 管线日志）",
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src.name,
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dst.name,
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)
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return _public_media_url(settings, dst.name)
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except Exception:
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log.exception("[行为监控] 切片发布异常 | {}", src.name)
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tmp.unlink(missing_ok=True)
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if dst.is_file():
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return _public_media_url(settings, dst.name)
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return ""
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async def _run_inference_and_state(
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mp4: Path,
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settings: Settings,
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processed: Set[str],
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state_file: Path,
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) -> None:
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key = str(mp4.resolve())
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if key in processed:
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return
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rid = new_run_id("action_watch")
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log = logger.bind(pipeline="action_watch", run_id=rid, source=mp4.name)
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try:
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size_mb = mp4.stat().st_size / (1024 * 1024)
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except OSError:
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size_mb = 0.0
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log.info(
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"[行为监控] 触发行为识别 | mp4={} | 大小={:.1f} MB", mp4, size_mb,
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)
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async with app_state.action_lock:
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app_state.action_status = "running"
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try:
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with stage(
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f"行为识别 watch 全流程（{mp4.name}）",
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pipeline="action_watch",
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step="file_total",
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run_id=rid,
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source=mp4.name,
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metrics={"size_mb": round(size_mb, 2)},
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):
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slice_files, duration = await to_thread(
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action_svc.prepare_action_slices, mp4, settings, run_id=rid,
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)
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settings.media_root.mkdir(parents=True, exist_ok=True)
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base_name = (
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settings.biomass_water_video_media_name or "biomass_water_surface.mp4"
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)
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saved_count = 0
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first_snap = None
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total_slices = len(slice_files)
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for i, slice_file in enumerate(slice_files):
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snap = await to_thread(
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action_svc.run_single_slice_inference,
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slice_file, i, total_slices, duration, mp4.name, settings,
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run_id=rid,
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)
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if first_snap is None:
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first_snap = snap
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if not health_snapshot_deliverable(snap):
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continue
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video_url = ""
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media_basename = _slice_media_basename(base_name, i)
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dst = settings.media_root / media_basename
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video_url = await to_thread(
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_publish_slice_video, slice_file, dst, settings,
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)
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slice_key = f"{key}#slice{i}"
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save_health_snapshot(
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settings, snap, source_path=slice_key, video_url=video_url,
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)
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saved_count += 1
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if saved_count == 0:
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log.warning(
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"[行为监控] 无可投递结果，跳过写库 | mp4={}", mp4.name,
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)
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app_state.action_status = "idle"
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processed.add(key)
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if settings.action_watch_use_state_file:
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add_watch_processed(settings, key, "action")
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pred = (first_snap.raw_class_en or "").strip() if first_snap else ""
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zh = first_snap.behavior_result if first_snap else ""
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health = first_snap.health_result if first_snap else ""
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log.info(
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"[行为监控] 完成 | mp4={} | 类别={} ({}) | 健康={} | 投递切片={}",
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mp4.name, zh or "-", pred or "-", health or "-", saved_count,
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)
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except Exception as e:
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log.exception("[行为监控] 处理异常 | mp4={} | {}", mp4, e)
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app_state.action_status = "idle"
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processed.add(key)
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if settings.action_watch_use_state_file:
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add_watch_processed(settings, key, "action")
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async def watch_tick(
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settings: Settings,
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processed: Set[str],
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stability: Dict[str, Tuple[int, int]],
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state_file: Path,
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) -> bool:
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"""处理一轮目录扫描；若处理了至少一个文件返回 True。"""
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assert settings.action_watch_dir is not None
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watch_dir = settings.action_watch_dir
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did = False
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seen_keys: Set[str] = set()
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for mp4 in iter_mp4(watch_dir, settings.action_watch_recursive):
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key = str(mp4.resolve())
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seen_keys.add(key)
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if key in processed:
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continue
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try:
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st = mp4.stat()
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except OSError:
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continue
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size = int(st.st_size)
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if size <= 0:
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stability.pop(key, None)
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continue
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last = stability.get(key)
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if last is None or last[0] != size:
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stability[key] = (size, 1)
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else:
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_, cnt = last
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stability[key] = (size, cnt + 1)
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_, cnt = stability[key]
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if cnt >= settings.action_watch_stable_polls:
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await _run_inference_and_state(mp4, settings, processed, state_file)
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stability.pop(key, None)
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did = True
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for k in list(stability.keys()):
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if k not in seen_keys:
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del stability[k]
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return did
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async def run_action_watch_loop(settings: Settings) -> None:
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assert settings.action_watch_dir is not None
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wd = settings.action_watch_dir
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if not wd.is_dir():
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logger.bind(pipeline="action_watch").warning(
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"[行为监控] 启动跳过：路径不是目录 {}", wd
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)
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return
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state_file = _state_path(settings)
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processed: Set[str] = (
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load_watch_processed(settings, state_file, "action")
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if settings.action_watch_use_state_file
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else set()
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)
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stability = {} # type: Dict[str, Tuple[int, int]]
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logger.bind(pipeline="action_watch").info(
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"[行为监控] 监控目录已启动 | dir={} | poll={}s | stable_polls={} | state={} {}",
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wd,
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settings.action_watch_poll_interval,
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settings.action_watch_stable_polls,
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"on" if settings.action_watch_use_state_file else "off",
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state_file if settings.action_watch_use_state_file else "",
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)
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idle_warn_state = IdleWatchWarnState()
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while True:
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did = await watch_tick(settings, processed, stability, state_file)
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maybe_warn_idle_watch(
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did_work=did,
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log_tag="action-watch",
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algo_name="FishAction",
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idle_hint="目录内无 .mp4、已全部处理完毕，或文件尚未达到稳定轮询次数",
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watch_dir=wd,
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state=idle_warn_state,
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interval_sec=_ACTION_IDLE_WARN_INTERVAL_SEC,
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)
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await asyncio.sleep(max(settings.action_watch_poll_interval, 0.1))
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