d61526698d
将 README 改写为产品文档；移除微信/EasyTier/工作台等遗留模块；新增 youLIVE 目标端监控、摄像头推流、质量守卫与转播历史能力。 Co-authored-by: Cursor <cursoragent@cursor.com>
106 lines
3.4 KiB
Python
106 lines
3.4 KiB
Python
"""YouTube relay diagnostics: source + FFmpeg + target watch URL layers."""
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from __future__ import annotations
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import time
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from typing import Any
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from web2_quality_guard import build_youtube_quality_guard_report, parse_ffmpeg_metrics
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def _source_configured(url_lines: str) -> bool:
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for raw in str(url_lines or "").splitlines():
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t = raw.strip()
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if not t or t.startswith("#"):
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continue
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if "douyin" in t.lower() or "live.douyin.com" in t.lower():
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return True
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return False
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def build_youtube_diagnostics_report(
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rows: list[dict[str, Any]],
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*,
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config_by_process: dict[str, dict[str, str]] | None = None,
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) -> dict[str, Any]:
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config_by_process = config_by_process or {}
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guard = build_youtube_quality_guard_report(rows, config_by_process=config_by_process)
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lanes: list[dict[str, Any]] = []
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target_ok = 0
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source_ok = 0
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ffmpeg_ok = 0
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for lane in guard.get("lanes") or []:
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proc = str(lane.get("process") or "")
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cfg = config_by_process.get(proc) or {}
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watch = str(cfg.get("watch_url") or "").strip()
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src_cfg = _source_configured(cfg.get("url_lines", ""))
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pushing = bool(lane.get("is_pushing"))
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metrics = lane.get("metrics") if isinstance(lane.get("metrics"), dict) else {}
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if not metrics and pushing:
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metrics = parse_ffmpeg_metrics(
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str((rows[0] if rows else {}).get("recent_log") or ""),
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)
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issues = list(lane.get("issues") or [])
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score = int(lane.get("score") or 0)
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if src_cfg:
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source_ok += 1
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else:
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issues.append({"level": "warning", "text": "源站地址未配置"})
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score = max(0, score - 12)
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if watch:
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target_ok += 1
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else:
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issues.append({"level": "warning", "text": "未配置 YouTube 目标监听地址"})
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score = max(0, score - 8)
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ffmpeg_active = bool(lane.get("ffmpeg_active"))
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if pushing and ffmpeg_active:
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ffmpeg_ok += 1
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elif pushing and not ffmpeg_active:
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issues.append({"level": "critical", "text": "推流中但未检测到 FFmpeg 进程"})
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lanes.append(
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{
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**lane,
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"score": max(0, min(100, score)),
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"issues": issues[:8],
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"layers": {
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"source": {
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"ok": src_cfg,
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"hint": lane.get("source_url") or "",
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},
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"ffmpeg": {
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"ok": ffmpeg_active or not pushing,
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"pushing": pushing,
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"metrics": metrics,
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},
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"target": {
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"ok": bool(watch),
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"watch_url": watch,
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},
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},
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}
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)
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lane_count = len(lanes)
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overall = int(sum(l["score"] for l in lanes) / lane_count) if lane_count else 0
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return {
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**guard,
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"score": max(0, min(100, overall)),
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"lanes": lanes,
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"diagnostics": {
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"generated_at": time.time(),
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"layers": ["source", "ffmpeg", "target"],
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"summary": {
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"lanes": lane_count,
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"source_configured": source_ok,
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"target_configured": target_ok,
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"ffmpeg_active": ffmpeg_ok,
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},
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},
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}
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