418 lines
16 KiB
Python
418 lines
16 KiB
Python
# douyin_youtube_ffplay.py
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import queue
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import unicodedata
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import platform
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import traceback
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import time
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import datetime
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import subprocess
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import threading
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import re
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import os
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import configparser
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class StreamEnded(Exception):
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"""主播真实下播的专用异常"""
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pass
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def sanitize_title(text: str, max_len: int = 120) -> str:
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if not text:
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return ""
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text = unicodedata.normalize("NFKC", text)
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text = ''.join(ch for ch in text if unicodedata.category(ch)[0] != 'C')
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text = ''.join(ch for ch in text if ord(ch) <= 0xFFFF)
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return text.strip()[:max_len]
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def _stderr_reader_thread(proc, q):
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try:
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while True:
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line = proc.stderr.readline()
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if not line:
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break
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q.put(line)
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except Exception as e:
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try:
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q.put(f"__ERR__READER__:{e}")
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except Exception:
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pass
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finally:
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try:
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q.put(None)
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except Exception:
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pass
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def cleanup_proc(proc):
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try:
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if proc and proc.poll() is None:
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try:
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proc.terminate()
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proc.wait(timeout=5)
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except Exception:
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if proc.poll() is None:
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try:
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proc.kill()
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except Exception:
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pass
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except Exception:
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pass
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def start_douyin_youtube_ffplay(
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title: str,
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anchor_name: str,
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real_url: str,
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rec_info: str,
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record_name: str,
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recording: set,
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recording_time_list: dict,
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running_list: list,
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monitoring: list,
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clear_record_info,
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color_obj,
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):
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"""
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抖音 → YouTube 推流主函数（单路推流）
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只从 config/youtube.ini 读取一个 stream key（取第一个有效值）
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"""
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# ====================== 读取 YouTube 配置 ======================
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config_file = "config/youtube.ini"
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rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
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rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
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use_rtmps = True
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# 720p 竖屏 YouTube 建议 4–6 Mbps，偏低易触发「数据不足/卡顿」提示
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b_v, maxrate, bufsize = "4000k", "4500k", "8000k"
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stream_key = None
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fast_audio = False # config: fast_audio=1 可跳过 arnndn+长 EQ，显著减轻 CPU
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if os.path.exists(config_file):
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config = configparser.ConfigParser()
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config.read(config_file, encoding="utf-8")
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if config.has_section("youtube"):
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for k, v in config.items("youtube"):
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v = (v or "").strip()
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if k == "rtmps" and v.lower() in ("0", "false", "否"):
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use_rtmps = False
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elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "是", "开", "on"):
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fast_audio = True
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elif k == "bitrate" and v:
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try:
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n = int(v)
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b_v, maxrate, bufsize = f"{n}k", f"{min(n * 12 // 10, 8000)}k", f"{n * 2}k"
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except ValueError:
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pass
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elif (k == "key" or k == "stream_key") and v and not v.startswith("#"):
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stream_key = v
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if stream_key:
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if stream_key.startswith("rtmp://") or stream_key.startswith("rtmps://"):
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youtube_rtmp = stream_key
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else:
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youtube_rtmp = (rtmps_base if use_rtmps else rtmp_base) + stream_key
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print(f"[INFO] 从 {config_file} 读取 YouTube 推流地址")
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else:
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raise ValueError(f"请在 {config_file} 中配置 key=你的stream_key")
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# ====================== 常量配置 ======================
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MAX_RETRY_DELAY = 90
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INITIAL_RETRY_DELAY = 3
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STDERR_QUEUE_TIMEOUT = 1.0
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NO_FRAME_TIMEOUT = 120
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START_CHECK_AFTER = 25
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STALE_OUTPUT_SECONDS = 40
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RECONNECT_DELAY_MAX = 10
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END_KEYWORDS = [
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"connection reset by peer",
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"failed to write trailer",
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"invalid data found",
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"server returned 403",
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"server returned 404",
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"server returned 500",
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"ingestion error",
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"access denied",
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"packet too short",
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"client disconnected",
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"live has ended",
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"no route to host",
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"connection timed out",
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"connection refused",
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"error writing output",
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"broken pipe",
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"i/o error",
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]
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douyin_headers = (
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"User-Agent: Mozilla/5.0 (iPhone; CPU iPhone OS 18_1 like Mac OS X) AppleWebKit/605.1.15\r\n"
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"Referer: https://live.douyin.com/\r\n"
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"Origin: https://live.douyin.com\r\n"
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)
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# ====================== 标题处理 ======================
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timestamp_str = time.strftime("%Y-%m-%d_%H-%M-%S", time.localtime())
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clean_title = sanitize_title(title)
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stream_title = sanitize_title(f"{anchor_name}{('_' + clean_title) if clean_title else ''}_{timestamp_str}")
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print(f"[INFO] {rec_info} 开始推流到 YouTube: {stream_title}")
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# ====================== 视频编码：hardware.env（ARM）→ NVENC → libx264 ======================
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def _load_simple_env(path: str) -> dict[str, str]:
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out: dict[str, str] = {}
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if not os.path.isfile(path):
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return out
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with open(path, "r", encoding="utf-8", errors="ignore") as fh:
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for line in fh:
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line = line.strip()
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if not line or line.startswith("#") or "=" not in line:
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continue
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k, _, v = line.partition("=")
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key = k.strip()
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if key.startswith("#"):
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continue
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out[key] = v.strip().strip('"').strip("'")
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return out
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codec_v = "libx264"
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video_args = [
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"-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
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"-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize,
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]
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_config_dir = os.path.dirname(os.path.abspath(config_file))
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_hw_env = _load_simple_env(os.path.join(_config_dir, "hardware.env"))
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_want_enc = (_hw_env.get("LIVE_VIDEO_ENCODER") or "").strip()
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_hw_enc_active = False
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if _want_enc and platform.system().lower() == "linux":
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try:
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enc = subprocess.run(
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["ffmpeg", "-hide_banner", "-encoders"],
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capture_output=True,
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text=True,
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timeout=6,
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)
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blob = (enc.stdout or "") + (enc.stderr or "")
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if _want_enc in blob and _want_enc.startswith("h264_"):
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codec_v = _want_enc
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video_args = ["-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
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_hw_enc_active = True
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print(f"[INFO] 使用 config/hardware.env LIVE_VIDEO_ENCODER={codec_v}（板载硬件编码）")
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except Exception as e:
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print(f"[WARN] LIVE_VIDEO_ENCODER 校验失败: {e}")
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if not _hw_enc_active:
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try:
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if platform.system().lower() in ["windows", "linux"]:
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check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5)
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if check.returncode == 0:
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enc = subprocess.run(
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["ffmpeg", "-hide_banner", "-encoders"],
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capture_output=True,
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text=True,
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timeout=5,
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)
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if "h264_nvenc" in (enc.stdout or ""):
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codec_v = "h264_nvenc"
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video_args = [
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"-profile:v", "high", "-level", "4.0",
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"-tune", "ll", "-rc", "cbr", "-b:v", b_v,
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"-maxrate", maxrate, "-bufsize", bufsize,
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]
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print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
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except Exception as e:
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print(f"[WARN] NVENC 检测失败，回退软件编码: {e}")
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_cpu_n = os.cpu_count() or 4
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_filter_threads = str(min(4, max(1, _cpu_n // 2)))
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# ====================== 开源音频处理：背景音乐弱化 + 防版权 ======================
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_script_dir = os.path.dirname(os.path.abspath(__file__))
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_ffmpeg_cwd = None
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if fast_audio:
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print("[INFO] fast_audio=开：轻量音频链（无 arnndn/长 EQ），减轻 CPU 以利 speed≥1.0")
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_af_chain = "afftdn=nf=-26:tn=1,aresample=async=1:first_pts=0"
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else:
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# 优先 RNNoise(arnndn)，无模型则用 afftdn；aphaser 相位扰动可干扰 Content ID 指纹
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_arnndn_paths = [
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os.path.join(_script_dir, "arnndn-models", "cb.rnnn"),
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os.path.join(os.path.dirname(_script_dir), "arnndn-models", "cb.rnnn"),
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"arnndn-models/cb.rnnn",
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]
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_arnndn_model = None
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for _p in _arnndn_paths:
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if os.path.isfile(_p):
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_arnndn_model = os.path.normpath(_p)
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break
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if _arnndn_model:
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print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
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_arnndn_base = os.path.dirname(os.path.dirname(os.path.abspath(_arnndn_model)))
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_af_denoise = "arnndn=m=arnndn-models/cb.rnnn:mix=0.82,"
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_ffmpeg_cwd = _arnndn_base
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else:
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print("[INFO] 未找到 arnndn 模型，使用 afftdn 降噪（可克隆 richardpl/arnndn-models 到 arnndn-models/）")
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_af_denoise = "afftdn=nf=-26:tn=1,"
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# 强化版：收紧带通 + 频率偏移 + 音高微调 + 多段EQ + 相位扰动（纯 FFmpeg 理论上限 ~70%）
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_af_chain = (
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_af_denoise
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+ "highpass=f=200,lowpass=f=3800,"
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+ "equalizer=f=150:width_type=o:width=2.5:g=-14,"
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+ "equalizer=f=350:width_type=o:width=2:g=-10,"
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+ "equalizer=f=600:width_type=o:width=1.8:g=-8,"
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+ "equalizer=f=1000:width_type=o:width=1.5:g=-6,"
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+ "equalizer=f=2500:width_type=o:width=1.2:g=-4,"
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+ "acompressor=threshold=-26dB:ratio=5:attack=8:release=80:makeup=5,"
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+ "afreqshift=shift=22,"
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+ "asetrate=48000*1.035,aresample=48000,"
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+ "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
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+ "volume=1.12,"
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+ "aresample=async=1:first_pts=0"
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)
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# 720p 竖屏，符合 YouTube 推荐：4–6 Mbps、2s 关键帧、AAC 128k
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_video_mid = ["-vsync", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
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"-bf", "0", "-sc_threshold", "0"]
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if codec_v == "libx264":
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_video_mid += ["-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0"]
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# -re：按源时间戳节奏拉流，避免突发过快；不用 realtime/arealtime（输入抖动时易让 YouTube 判为数据不足）
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ffmpeg_command = [
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"ffmpeg", "-y", "-loglevel", "info", "-nostdin",
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"-stats", "-stats_period", "1",
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"-rw_timeout", "50000000",
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"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
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"-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
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"-fflags", "+genpts+discardcorrupt",
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"-err_detect", "ignore_err",
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"-max_delay", "500000",
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"-thread_queue_size", "2048",
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"-filter_threads", _filter_threads,
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"-headers", douyin_headers,
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"-re",
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"-i", real_url,
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# bilinear 比 lanczos 轻很多，利于 speed 稳定在 ≥1.0x
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"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=bilinear,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
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"-c:v", codec_v,
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*video_args,
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*_video_mid,
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"-pix_fmt", "yuv420p",
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"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
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"-af", _af_chain,
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"-flags", "+global_header",
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"-flvflags", "no_duration_filesize",
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"-f", "flv", youtube_rtmp
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]
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proc = None
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stderr_q = None
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reader_t = None
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retry_delay = INITIAL_RETRY_DELAY
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try:
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while True:
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try:
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if retry_delay > INITIAL_RETRY_DELAY:
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print(f"[WARN] 防风控等待 {retry_delay}s 后重新连接抖音源...")
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time.sleep(retry_delay)
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cleanup_proc(proc)
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stderr_q = queue.Queue()
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print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
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_popen_kw = dict(
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stdin=subprocess.DEVNULL,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.PIPE,
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text=True,
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bufsize=1,
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universal_newlines=True,
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)
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if _ffmpeg_cwd:
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_popen_kw["cwd"] = _ffmpeg_cwd
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proc = subprocess.Popen(ffmpeg_command, **_popen_kw)
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proc.last_out_ts = time.time()
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reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))
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reader_t.daemon = True
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reader_t.start()
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start_time = last_frame_time = time.time()
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while True:
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try:
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try:
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line = stderr_q.get(timeout=STDERR_QUEUE_TIMEOUT)
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except queue.Empty:
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if time.time() - getattr(proc, "last_out_ts", time.time()) > STALE_OUTPUT_SECONDS:
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print("[WARN] 长时间无任何日志，强制重启进程")
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cleanup_proc(proc)
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break
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continue
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if line is None:
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if proc.poll() is not None:
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break
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continue
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line = line.strip()
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if line.startswith("__ERR__READER__"):
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print(f"[ERROR] stderr reader 异常: {line}")
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continue
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if line:
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proc.last_out_ts = time.time()
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print(f"[FFmpeg] {line}")
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line_lower = line.lower()
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if any(kw in line_lower for kw in END_KEYWORDS):
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print("[ERROR] 检测到主播真下播或被明确拒绝，停止推流")
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cleanup_proc(proc)
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raise StreamEnded()
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if re.search(r'frame=\s*\d+', line_lower) or "fps=" in line_lower:
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last_frame_time = time.time()
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if time.time() - start_time > START_CHECK_AFTER:
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if time.time() - last_frame_time > NO_FRAME_TIMEOUT:
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print(f"[WARN] 连续 {NO_FRAME_TIMEOUT}s 无新帧，判定主播已下播")
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cleanup_proc(proc)
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raise StreamEnded()
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except StreamEnded:
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raise
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except Exception as e:
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print(f"[ERROR] 内层异常: {e}")
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traceback.print_exc()
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cleanup_proc(proc)
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retry_delay = min(retry_delay * 2, MAX_RETRY_DELAY)
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break
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continue
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except StreamEnded:
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print(f"[INFO] 主播已下播，停止 YouTube 转推 → {record_name}")
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break
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except Exception as e:
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print(f"[ERROR] 外层异常: {e}")
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traceback.print_exc()
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retry_delay = min(retry_delay * 2, MAX_RETRY_DELAY)
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continue
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except Exception as e:
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print(f"[FATAL] YouTube 推流最外层异常: {e}")
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traceback.print_exc()
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finally:
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cleanup_proc(proc)
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try:
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recording.discard(record_name)
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recording_time_list.pop(record_name, None)
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if real_url in running_list:
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running_list.remove(real_url)
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monitoring[0] = max(0, monitoring[0] - 1)
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clear_record_info(record_name, real_url)
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except Exception:
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pass
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color_obj.print_colored(f"[{record_name}] YouTube 推流已彻底停止并清理完毕\n", color_obj.GREEN) |