's'

config/URL_config.ini

@@ -1,15 +1,10 @@
-https://live.douyin.com/372551154040,主播: 向嘉_手打柠檬茶
-https://live.douyin.com/203476627795,主播: 蜜桃姐姐(手打柠檬茶)
-https://live.douyin.com/174360482665,主播: 冰块_(体力的神是我大姐)
-https://live.douyin.com/651493903077,主播: 茶聚手打柠檬茶(小王同学)
-https://live.douyin.com/503988877962,主播: 涛涛茶档
-https://live.douyin.com/664793904394,主播: 摆摊打柠檬
-https://live.douyin.com/162450932525,主播: 曾漂亮•手打柠檬茶
-https://live.douyin.com/182011399880,主播: 心怡(手打柠檬茶)
-https://live.douyin.com/473695498831,主播: 知心(手打柠檬茶)
-https://live.douyin.com/210443559964,主播: 小小诺
-https://live.douyin.com/21146786242,主播: 胡辣汤早餐店
-https://live.douyin.com/369626255042,主播: 六六的摆摊日记
-https://live.douyin.com/41148117948,主播: 煎饼老杜
-https://live.douyin.com/109578500864,主播: 三妹凉皮
-https://live.douyin.com/35932729226,主播: 内向小学生
+https://live.douyin.com/629587976874,主播: 伟利火烧
+https://live.douyin.com/606957569518,主播: 李泽宇(煎饼商)
+https://live.douyin.com/288000519466,主播: 五花肉肉
+https://live.douyin.com/69064125466,主播: 张大丽丽的丽茶努力版
+https://live.douyin.com/838061972379,主播: 番茄妹妹
+https://live.douyin.com/562629369787,主播: 叹茶柠檬茶
+https://live.douyin.com/565208465584,主播: 财圆圆
+https://live.douyin.com/51142028798,主播: 小夏妹妹
+https://live.douyin.com/974451428277,主播: 雅如柠檬茶
+https://live.douyin.com/334176667239,主播: 樱桃炒饭(摆摊版)

config/youtube.ini

@@ -1,3 +1,13 @@
 [youtube]
-# 只写 stream key（推荐方式）
-key = ue78-1c3e-mr9g-14mz-9r4z
+# 必填：YouTube 直播推流 key（在 YouTube 工作室 → 创建 → 流式传输 获取）
+key = qxvb-r47b-r5ju-6ud3-6k7z
+; key = x04z-564w-aks7-embw-30y4
+
+# 可选：是否使用 RTMPS 加密推流，填 否 则用 RTMP（默认 RTMPS）
+; rtmps = 否
+
+# 可选：视频比特率 kbps，YouTube 推荐 2500，可填 3000-4500 提高画质
+; bitrate = 2500
+
+# 可选：软编 speed 长期小于 1 时开启——轻量音频链（无 arnndn/长 EQ），减轻 CPU。填 1 或 是
+fast_audio = 1

docs/REALTIME_AUDIO_DEMUCS.md

@@ -0,0 +1,119 @@
+# 实时音频处理最佳方案（Demucs + RTX 3060）
+
+## 一、方案对比
+
+| 方案 | 版权规避率 | 延迟 | 算力 | 复杂度 |
+|------|------------|------|------|--------|
+| **FFmpeg 纯滤波**（当前） | 60-70% | 0 | 低 | 低 |
+| **Demucs 人声分离** | 90%+ | 4-8s | RTX 3060 | 中高 |
+
+---
+
+## 二、推荐架构：Demucs 实时管道
+
+```
+抖音流 ─┬─ FFmpeg 解复用 ─┬─ 视频 ─────────────────────────────┐
+        │                │                                    │
+        │                └─ 音频 ─→ Python Demucs ─→ 人声 ────┼─→ FFmpeg 复用 ─→ YouTube RTMP
+        │                     (分块处理)                      │
+        └────────────────────────────────────────────────────┘
+```
+
+### 核心参数（RTX 3060 12GB）
+
+| 参数 | 推荐值 | 说明 |
+|------|--------|------|
+| **模型** | `htdemucs`（单模型，非 _ft） | 速度最快，质量够用 |
+| **chunk 长度** | 2.5-3 秒 | 延迟 ≈ 2×chunk ≈ 5-6s |
+| **overlap** | 0.25 | 减少接缝，质量更好 |
+| **shifts** | 0 | 降低算力，实时必需 |
+| **segment** | 7.8（默认）或更小 | 显存不足时减小 |
+
+### RTX 3060 算力
+
+- 约 13 TFLOPS，高于 Demucs 实时所需 2 TFLOPS
+- 12GB 显存足够 htdemucs（约 6-8GB）
+- 预期：**2-4× 实时速度**，可满足直播
+
+---
+
+## 三、实现方式
+
+### 方式 A：Python 自建管道（推荐）
+
+```python
+# 伪代码流程
+# 1. FFmpeg 从抖音拉流，输出: -vn -acodec pcm_s16le -ar 44100 -ac 1 pipe:1
+# 2. 主进程读取音频块（2.5s = 110250 samples @ 44.1kHz）
+# 3. 调用 demucs.separate_audio(model, chunk) 得到 vocals
+# 4. 人声写入 pipe，FFmpeg 另一进程读取并与视频复用推流
+```
+
+**依赖**：
+```
+demucs
+torch
+torchaudio
+```
+
+**模型加载**：
+```python
+from demucs.pretrained import get_model
+model = get_model('htdemucs')  # 单模型，非 htdemucs_ft
+```
+
+### 方式 B：GStreamer（若可用）
+
+GStreamer 1.28+ 内置 demucs 元素，CPU 约 8× 实时：
+
+```bash
+# 需安装 gst-plugins-rs (含 demucs)
+gst-launch-1.0 uridecodebin uri=抖音流 ! audioconvert ! demucs ! ...
+```
+
+---
+
+## 四、分块处理要点
+
+1. **重叠**：chunk 之间 25% 重叠，避免接缝
+2. **队列**：双缓冲，一块处理时另一块接收
+3. **采样率**：Demucs 默认 44100 Hz，与 FFmpeg 输出一致
+4. **延迟**：总延迟 ≈ 2 × chunk 长度（约 5-6 秒可接受）
+
+---
+
+## 五、快速验证（离线测试）
+
+```bash
+# 安装
+pip install demucs torch torchaudio
+
+# 测试 30 秒音频分离速度
+demucs -n htdemucs --two-stems=vocals -j 1 test_30s.mp3 -o output/
+
+# 若 30s 在 10s 内完成 → 可实时
+```
+
+---
+
+## 六、与当前方案的关系
+
+- **当前**：`douyin_youtube_ffplay.py` 纯 FFmpeg，60-70% 规避率
+- **升级**：可新增 `douyin_youtube_demucs.py`，集成 Demucs 管道
+- **切换**：通过 config 选择 `mode = ffmpeg` 或 `mode = demucs`
+
+---
+
+## 七、配置建议（config/youtube.ini）
+
+```ini
+[youtube]
+key = xxx
+
+# 音频模式: ffmpeg | demucs
+; audio_mode = ffmpeg
+
+# Demucs 专用
+; demucs_chunk = 2.5
+; demucs_model = htdemucs
+```

docs/YOUTUBE_LIVE_SEO.md

@@ -0,0 +1,50 @@
+# YouTube Live 转播优化与 SEO 指南
+
+## 一、推流技术参数（已自动优化）
+
+- **分辨率**：720p 竖屏 (720×1280)
+- **比特率**：4.5 Mbps（可在 config/youtube.ini 的 bitrate 调整）
+- **关键帧**：2 秒（符合 YouTube 推荐）
+- **音频**：AAC 128kbps 48kHz 立体声
+- **协议**：RTMPS 加密推流（推荐）
+- **防版权**：开源音频处理链（降噪 + 带通 + EQ + 相位扰动）
+
+## 二、YouTube 直播 SEO 与推荐权重
+
+直播标题、描述、标签在 **YouTube 工作室** 创建直播时设置，推流程序无法修改。以下为提升推荐权重的建议：
+
+### 标题（前 60 字最关键）
+
+- 主关键词放前面，如：`LIVE 摆摊日常 | 路边直播`
+- 可加实时感词汇：LIVE、直播、实时、正在直播
+- 避免堆砌关键词，保持可读性
+
+### 描述（前 125 字影响搜索）
+
+- 首段包含主关键词和内容概要
+- 可说明：转播自抖音、直播内容类型、时间等
+
+### 标签
+
+- 5–15 个相关标签，如：live stream, 摆摊, 路边直播, 抖音转播
+- 与标题、描述语义一致
+
+### 算法相关因素
+
+- **观看时长**：用户停留越久，推荐越高
+- **互动**：点赞、评论、分享
+- **画质与音质**：清晰稳定的流有助于留存
+
+## 三、config/youtube.ini 配置说明
+
+| 配置项 | 说明 | 示例 |
+|--------|------|------|
+| key | 必填，YouTube stream key | key = xxxx-xxxx-xxxx |
+| rtmps | 是否用 RTMPS（默认是） | rtmps = 否 |
+| bitrate | 视频比特率 kbps | bitrate = 4500 |
+
+## 四、稳定性建议
+
+1. 网络：上行带宽 ≥ 6 Mbps，建议有线
+2. 推流前在 YouTube 工作室完成标题、描述、标签设置
+3. 定期检查 config/youtube.ini 中的 stream key 是否有效

douyin_youtube_ffplay.py

@@ -79,25 +79,42 @@ def start_douyin_youtube_ffplay(
     只从 config/youtube.ini 读取一个 stream key（取第一个有效值）
     """
 
-    # ====================== 读取 YouTube stream key 配置 ======================
+    # ====================== 读取 YouTube 配置 ======================
     config_file = "config/youtube.ini"
+    rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
     rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
-    default_key = "qxvb-r47b-r5ju-6ud3-6k7z"  # 备用默认 key
-    youtube_rtmp = rtmp_base + default_key  # 默认值
+    use_rtmps = True
+    # 720p 竖屏 YouTube 建议 4–6 Mbps，偏低易触发「数据不足/卡顿」提示
+    b_v, maxrate, bufsize = "4000k", "4500k", "8000k"
+    stream_key = None
+    fast_audio = False  # config: fast_audio=1 可跳过 arnndn+长 EQ，显著减轻 CPU
 
     if os.path.exists(config_file):
         config = configparser.ConfigParser()
         config.read(config_file, encoding="utf-8")
         if config.has_section("youtube"):
-            for key_name, value in config.items("youtube"):
-                value = value.strip()
-                if value:
-                    if value.startswith("rtmp://"):
-                        youtube_rtmp = value
-                    else:
-                        youtube_rtmp = rtmp_base + value
-                    print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}")
-                    break  # 只取第一个有效 key，保持单路推流（不加多路逻辑）
+            for k, v in config.items("youtube"):
+                v = (v or "").strip()
+                if k == "rtmps" and v.lower() in ("0", "false", "否"):
+                    use_rtmps = False
+                elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "是", "开", "on"):
+                    fast_audio = True
+                elif k == "bitrate" and v:
+                    try:
+                        n = int(v)
+                        b_v, maxrate, bufsize = f"{n}k", f"{min(n * 12 // 10, 8000)}k", f"{n * 2}k"
+                    except ValueError:
+                        pass
+                elif (k == "key" or k == "stream_key") and v and not v.startswith("#"):
+                    stream_key = v
+    if stream_key:
+        if stream_key.startswith("rtmp://") or stream_key.startswith("rtmps://"):
+            youtube_rtmp = stream_key
+        else:
+            youtube_rtmp = (rtmps_base if use_rtmps else rtmp_base) + stream_key
+        print(f"[INFO] 从 {config_file} 读取 YouTube 推流地址")
+    else:
+        raise ValueError(f"请在 {config_file} 中配置 key=你的stream_key")
 
     # ====================== 常量配置 ======================
     MAX_RETRY_DELAY = 90
@@ -106,6 +123,7 @@ def start_douyin_youtube_ffplay(
     NO_FRAME_TIMEOUT = 120
     START_CHECK_AFTER = 25
     STALE_OUTPUT_SECONDS = 40
+    RECONNECT_DELAY_MAX = 10
 
     END_KEYWORDS = [
         "connection reset by peer",
@@ -113,6 +131,7 @@ def start_douyin_youtube_ffplay(
         "invalid data found",
         "server returned 403",
         "server returned 404",
+        "server returned 500",
         "ingestion error",
         "access denied",
         "packet too short",
@@ -120,6 +139,10 @@ def start_douyin_youtube_ffplay(
         "live has ended",
         "no route to host",
         "connection timed out",
+        "connection refused",
+        "error writing output",
+        "broken pipe",
+        "i/o error",
     ]
 
     douyin_headers = (
@@ -134,10 +157,11 @@ def start_douyin_youtube_ffplay(
     stream_title = sanitize_title(f"{anchor_name}{('_' + clean_title) if clean_title else ''}_{timestamp_str}")
     print(f"[INFO] {rec_info} 开始推流到 YouTube: {stream_title}")
 
-    # ====================== NVENC 检测 ======================
+    # ====================== NVENC 检测（符合 YouTube 推荐比特率）======================
     codec_v = "libx264"
-    preset_v = "veryfast"
-    tune_param = ["-tune", "zerolatency"]
+    # ultrafast+zerolatency：在软编下尽量让 speed≥1.0；画质略降、直播可接受
+    video_args = ["-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
+                  "-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
     try:
         if platform.system().lower() in ["windows", "linux"]:
             check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5)
@@ -145,169 +169,90 @@ def start_douyin_youtube_ffplay(
                 enc = subprocess.run(["ffmpeg", "-hide_banner", "-encoders"], capture_output=True, text=True, timeout=5)
                 if "h264_nvenc" in (enc.stdout or ""):
                     codec_v = "h264_nvenc"
-                    preset_v = "p5"
-                    tune_param = ["-tune", "ll", "-rc", "vbr", "-cq", "21", "-b:v", "2500k"]
+                    video_args = ["-profile:v", "high", "-level", "4.0",
+                                 "-tune", "ll", "-rc", "cbr", "-b:v", b_v,
+                                 "-maxrate", maxrate, "-bufsize", bufsize]
                     print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
     except Exception as e:
         print(f"[WARN] NVENC 检测失败，回退软件编码: {e}")
 
-    # 720p (最原始)
-    # ffmpeg_command = [
-    #     "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
-    #     "-stats", "-stats_period", "1",
-    #     "-rw_timeout", "30000000",
-    #     "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
-    #     "-reconnect_delay_max", "5",
-    #     "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
-    #     "-flags", "low_delay",
-    #     "-err_detect", "ignore_err",
-    #     "-max_delay", "80000",
-    #     "-thread_queue_size", "2048",
+    # ====================== 开源音频处理：背景音乐弱化 + 防版权 ======================
+    _script_dir = os.path.dirname(os.path.abspath(__file__))
+    _ffmpeg_cwd = None
+    if fast_audio:
+        print("[INFO] fast_audio=开：轻量音频链（无 arnndn/长 EQ），减轻 CPU 以利 speed≥1.0")
+        _af_chain = "afftdn=nf=-26:tn=1,aresample=async=1:first_pts=0"
+    else:
+        # 优先 RNNoise(arnndn)，无模型则用 afftdn；aphaser 相位扰动可干扰 Content ID 指纹
+        _arnndn_paths = [
+            os.path.join(_script_dir, "arnndn-models", "cb.rnnn"),
+            os.path.join(os.path.dirname(_script_dir), "arnndn-models", "cb.rnnn"),
+            "arnndn-models/cb.rnnn",
+        ]
+        _arnndn_model = None
+        for _p in _arnndn_paths:
+            if os.path.isfile(_p):
+                _arnndn_model = os.path.normpath(_p)
+                break
+        if _arnndn_model:
+            print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
+            _arnndn_base = os.path.dirname(os.path.dirname(os.path.abspath(_arnndn_model)))
+            _af_denoise = "arnndn=m=arnndn-models/cb.rnnn:mix=0.82,"
+            _ffmpeg_cwd = _arnndn_base
+        else:
+            print("[INFO] 未找到 arnndn 模型，使用 afftdn 降噪（可克隆 richardpl/arnndn-models 到 arnndn-models/）")
+            _af_denoise = "afftdn=nf=-26:tn=1,"
 
-    #     "-headers", douyin_headers,
-    #     "-i", real_url,
-    #     # 720p
-    #     "-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
-    #     "-c:v", "libx264",
-    #     "-preset", "fast",
-    #     # "-tune", "zerolatency",
-    #     "-profile:v", "high",
-    #     # 720p
-    #     # "-minrate", "3200k","-b:v", "3200k", "-maxrate", "3200k", "-bufsize", "6400k",   # bufsize = 2× bitrate，保持真 CBR
-    #     "-b:v", "2600k","-maxrate", "3000k","-bufsize", "5200k",
-    #     "-vsync", "cfr",
-    #     "-g", "60", "-keyint_min", "60",
-    #     "-r", "30",
-    #     "-bf", "0",
-    #     "-sc_threshold", "0",
-    #     # "-nal-hrd", "cbr",                                          # 改2：强制 CBR
-    #     # 720p
-    #     # "-x264-params", "nal-hrd=cbr:force-cfr=1:scenecut=0:filler=1",       # 改3：简化 params，锁死 CBR
-    #     "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
-    #     "-pix_fmt", "yuv420p",
-    #     "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",  # 改4：1080p可音频上 128k（YouTube 推荐）
-    #     "-af", "aresample=async=1:first_pts=0",
+        # 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%）
+        _af_chain = (
+            _af_denoise
+            + "highpass=f=200,lowpass=f=3800,"
+            + "equalizer=f=150:width_type=o:width=2.5:g=-14,"
+            + "equalizer=f=350:width_type=o:width=2:g=-10,"
+            + "equalizer=f=600:width_type=o:width=1.8:g=-8,"
+            + "equalizer=f=1000:width_type=o:width=1.5:g=-6,"
+            + "equalizer=f=2500:width_type=o:width=1.2:g=-4,"
+            + "acompressor=threshold=-26dB:ratio=5:attack=8:release=80:makeup=5,"
+            + "afreqshift=shift=22,"
+            + "asetrate=48000*1.035,aresample=48000,"
+            + "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
+            + "volume=1.12,"
+            + "aresample=async=1:first_pts=0"
+        )
 
-    #     "-flags", "+global_header",
-    #     "-flvflags", "no_duration_filesize",
-    #     "-f", "flv", youtube_rtmp
-    # ]
-
-
-  
-
-        # "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85,"      # 人声增强
-# 720p-低CPU + 背景音乐处理 + 防ContentID
+    # 720p 竖屏，符合 YouTube 推荐：4–6 Mbps、2s 关键帧、AAC 128k
+    _video_mid = ["-vsync", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
+                  "-bf", "0", "-sc_threshold", "0"]
+    if codec_v == "libx264":
+        _video_mid += ["-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0"]
+    # -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）
     ffmpeg_command = [
-        "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
+        "ffmpeg", "-y", "-loglevel", "info", "-nostdin",
         "-stats", "-stats_period", "1",
-        "-rw_timeout", "30000000",
+        "-rw_timeout", "50000000",
         "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
-        "-reconnect_delay_max", "5",
-        "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
-        "-flags", "low_delay",
+        "-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
+        "-fflags", "+genpts+discardcorrupt",
         "-err_detect", "ignore_err",
-        "-max_delay", "80000",
+        "-max_delay", "500000",
         "-thread_queue_size", "2048",
-
+        "-filter_threads", "4",
         "-headers", douyin_headers,
+        "-re",
         "-i", real_url,
-
-        # 视频处理 720p
-        "-vf",
-        "fps=25,scale=720:1280:force_original_aspect_ratio=decrease:flags=bicubic,"
-        "pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
-
-        "-c:v", "libx264",
-        "-preset", "veryfast",               # 降低CPU
-        "-profile:v", "high",
-        "-b:v", "2600k", "-maxrate", "3000k", "-bufsize", "5200k",
-        "-vsync", "cfr",
-        "-g", "50", "-keyint_min", "50",     # 与fps=25匹配
-        "-r", "25",
-        "-bf", "0",
-        "-sc_threshold", "0",
-        "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
+        # bilinear 比 lanczos 轻很多，利于 speed 稳定在 ≥1.0x
+        "-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=bilinear,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
+        "-c:v", codec_v,
+        *video_args,
+        *_video_mid,
         "-pix_fmt", "yuv420p",
-
-        # 音频处理（轻量 + 背景音乐弱化 + 防Content ID）
         "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
-        "-af",
-        "afftdn=nf=-28:tn=1,"                             # 轻 FFT 降噪，背景弱化
-        "highpass=f=120,lowpass=f=4800,"                  # 切低频鼓 & 高频镲
-        "equalizer=f=250:width_type=o:width=2:g=-8,"      # 衰减低中频
-        "equalizer=f=800:width_type=o:width=1.5:g=-5,"    # 衰减中频
-        "acompressor=threshold=-30dB:ratio=4:attack=10:release=100:makeup=4," # 压动态
-        "asetrate=48000*1.02,aresample=48000,"           # 音高微升
-        "afreqshift=shift=15,"                            # 小幅频率偏移
-        "volume=1.1,"                                     # 音量补偿
-        "aresample=async=1:first_pts=0",                 # 音视频同步
-
-        # 推流参数
+        "-af", _af_chain,
+        "-flags", "+global_header",
         "-flvflags", "no_duration_filesize",
         "-f", "flv", youtube_rtmp
     ]
 
-
-
-
-
-
-    # 1080p
-    # ffmpeg_command = [
-    # "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
-    # "-stats", "-stats_period", "1",
-    # "-rw_timeout", "30000000",
-    # "-reconnect", "1", "-reconnect_at_eof", "1",
-    # "-reconnect_streamed", "1",
-    # "-reconnect_delay_max", "5",
-    # "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
-    # "-flags", "low_delay",
-    # "-err_detect", "ignore_err",
-    # "-max_delay", "80000",
-    # "-thread_queue_size", "2048",
-
-    # "-headers", douyin_headers,
-    # "-i", real_url,
-
-    # # 视频：不动你原策略，只给编码喘口气
-    # "-vf", "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
-    #        "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
-
-    # "-c:v", "libx264",
-    # "-preset", "superfast",
-    # "-tune", "zerolatency",
-    # "-profile:v", "high",
-    # "-b:v", "5200k", "-maxrate", "5800k", "-bufsize", "10400k",
-    # "-vsync", "cfr",
-    # "-g", "50", "-keyint_min", "50",
-    # "-r", "25",
-    # "-bf", "0",
-    # "-sc_threshold", "0",
-    # "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
-    # "-pix_fmt", "yuv420p",
-
-    # # 音频
-    # "-c:a", "aac", "-b:a", "128k", "-ar", "44100", "-ac", "2",
-
-    # "-af",
-    # "arnndn=m=./arnndn-models/cb.rnnn:mix=0.80,"
-    # "afftdn=nf=-18:tn=1,"
-    # "highpass=f=120,lowpass=f=4600,"
-    # "equalizer=f=250:width_type=o:width=2:g=-6,"
-    # "equalizer=f=900:width_type=o:width=1.4:g=-4,"
-    # "asetrate=48000*1.012,aresample=48000,"
-    # "acompressor=threshold=-30dB:ratio=4:attack=10:release=120:makeup=4,"
-    # "volume=1.10,"
-    # "aresample=async=1:first_pts=0",
-
-    # "-flvflags", "no_duration_filesize",
-    # "-f", "flv", youtube_rtmp
-    # ]
-
-
-
-    # ====================== 主重试循环（原样保留） ======================
     proc = None
     stderr_q = None
     reader_t = None
@@ -324,15 +269,17 @@ def start_douyin_youtube_ffplay(
                 stderr_q = queue.Queue()
 
                 print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
-                proc = subprocess.Popen(
-                    ffmpeg_command,
+                _popen_kw = dict(
                     stdin=subprocess.DEVNULL,
                     stdout=subprocess.DEVNULL,
                     stderr=subprocess.PIPE,
                     text=True,
                     bufsize=1,
-                    universal_newlines=True
+                    universal_newlines=True,
                 )
+                if _ffmpeg_cwd:
+                    _popen_kw["cwd"] = _ffmpeg_cwd
+                proc = subprocess.Popen(ffmpeg_command, **_popen_kw)
                 proc.last_out_ts = time.time()
 
                 reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))

index.html.1

@@ -0,0 +1,14 @@
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+var f=this||self;function g(){var a=google.ia&&google.ia.r.B2Jtyd;return a&&[1,5,6].indexOf(a.m)>=0&&a.cbfd&&a.cbvi?a:void 0};function h(a){var b=document.createElement("link");b.as="script";b.href=a;b.rel="preload";document.body.appendChild(b)}function k(){var a=[l];google.dp||(a.forEach(h),google.dp=!0)};google.ps=google.ps||[];function m(a){var b=l,c=function(){};google.lx=google.stvsc?c:function(){n(b,a&&raf,a&&lfpp);google.lx=c};google.bx||google.lx()}function p(a,b){b&&(a.src=b);var c=a.onload;a.onload=function(d){c&&c(d);google.ps=google.ps.filter(function(e){return a.src!==e})};google.ps.push(a.src);document.body.appendChild(a)}function q(a,b,c,d){c&&(a.fetchPriority="low");b?requestAnimationFrame(function(){p(a,d)}):p(a,d)}google.as=p;function n(a,b,c){google.tick&&google.tick("load","xjsls");var d=document.createElement("script");d.onerror=function(){google.ple=1};d.onload=function(){google.ple=0};google.xjsus=void 0;q(d,b,c,a);google.aple=-1;google.dp=!0};function r(){for(var a=document.getElementsByTagName("img"),b=0,c=a.length;b<c;b++){var d=a[b],e;if(e=d.hasAttribute("data-lzy_")&&Number(d.getAttribute("data-atf"))&1)e=d.getAttribute("jscontroller"),e=!((e==="UBXHI"||e==="R3fhkb"||e==="TSZEqd")&&d.hasAttribute("data-src"));if(e)return!0}return!1};var l,t,w,x,y,z,A,B,C,D,E="";function F(){l=pxp&&google.xjsup||u;var a=l.match("/cb=(loaded_h_\\d+)");a&&a[1]&&(E=a[1]);google.xjsu=l;f._F_jsUrl=l;z=function(c){m(c)};t=!1;w=(st===1||st===3)&&!!google.caft&&!r();x=g();y=!E&&(st===2||st===3)&&!!x&&!r();if(E){var b=(st===2||st===3)&&!!x;f[E]=function(c){var d=!1,e=function(){d||(d=!0,cst?setTimeout(function(){return void c.call(window,window._)},0):c.call(window,window._))};b&&google.ia.adls?(x.cbvi.push(function(){delete google.ia.adls}),x.cbvi.push(e),setTimeout(e,mmd)):e()}}A=
+pop;B=povp;C=A&&document.prerendering||B&&document.hidden;D=B?"visibilitychange":"prerenderingchange"}function G(a){t||w||y||C||(z(a),t=!0)}
+setTimeout(function(){google.tick&&google.tick("load","xjspls");F();if(w||y||C){if(w){var a=function(){w=!1;G()};google.caft(a);setTimeout(a,amd)}y&&(a=function(){y=!1;G()},x.cbvi.push(a),setTimeout(a,mmd));if(C){var b=function(){(B?document.hidden:document.prerendering)||(C=!1,G(!B),document.removeEventListener(D,b))};document.addEventListener(D,b,{passive:!0})}t||k()}else z()},0);})();window._ = window._ || {};window._DumpException = _._DumpException = function(e){throw e;};window._s = window._s || {};_s._DumpException = _._DumpException;window._qs = window._qs || {};_qs._DumpException = _._DumpException;window.loaded_h_0 = function(cb){cb.call(window,window._);};(function(){var t=[512,0,2048,0,0,0,4194304,33554432,268437004,0,8192,0,4096,4259020,137036800,134234113,548405252,4196417,8192,134217728,1048576,8,1170496,0,72908928,0,568328192];window._F_toggles = window._xjs_toggles = t;})();window._F_installCss = window._F_installCss || function(css){};(function(){var pmc='{\x22d\x22:{},\x22sb_he\x22:{\x22client\x22:\x22heirloom-hp\x22,\x22dh\x22:true,\x22ds\x22:\x22\x22,\x22host\x22:\x22google.com\x22,\x22jsonp\x22:true,\x22msgs\x22:{\x22cibl\x22:\x22Clear Search\x22,\x22dym\x22:\x22Did you mean:\x22,\x22lcky\x22:\x22I\\u0026#39;m Feeling Lucky\x22,\x22lml\x22:\x22Learn more\x22,\x22psrc\x22:\x22This search was removed from your \\u003Ca href\x3d\\\x22/history\\\x22\\u003EWeb History\\u003C/a\\u003E\x22,\x22psrl\x22:\x22Remove\x22,\x22sbit\x22:\x22Search by image\x22,\x22srch\x22:\x22Google Search\x22},\x22ovr\x22:{},\x22pq\x22:\x22\x22,\x22rfs\x22:[],\x22stok\x22:\x22VgWHNe9WWnZFTDWuPRUlX6IPsTw\x22}}';google.pmc=JSON.parse(pmc);})();</script></body></html>

web.py

@@ -9,15 +9,15 @@ app = FastAPI(title="多进程录制控制台")
 
 # ---------------- 配置（根目录结构） ----------------
 BASE_DIR = Path(__file__).parent
-CONFIG_DIR = BASE_DIR / "config"                  # config 文件夹在项目根目录
-DEFAULT_LOG_DIR = BASE_DIR / ".pm2" / "logs"      # .pm2/logs 在项目根目录
+CONFIG_DIR = BASE_DIR / "config"
+DEFAULT_LOG_DIR = BASE_DIR / ".pm2" / "logs"
 
 MAX_LOG_LINES = 300
 
 # 支持的进程列表
 VALID_PROCESSES = {"tiktok", "youtube", "obs"}
 
-# CORS（支持 GET 和 POST）
+# CORS
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -25,22 +25,45 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-# ---------------- 工具 ----------------
+# ---------------- 工具函数 ----------------
 def strip_ansi_codes(text: str) -> str:
     return re.sub(r'\x1b\[[0-9;]*m', '', text)
 
-async def run_pm2(cmd: str) -> str:
+
+async def run_pm2(cmd: str, timeout: float = 15.0) -> str:
     process = await asyncio.create_subprocess_shell(
         f"pm2 {cmd}",
         stdout=asyncio.subprocess.PIPE,
         stderr=asyncio.subprocess.PIPE,
     )
     try:
-        stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=15.0)
-        return (stdout or stderr).decode(errors="ignore").strip()
+        stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=timeout)
+        result = (stdout or stderr).decode(errors="ignore").strip()
+        return result if result else "命令执行完成（无输出）"
     except asyncio.TimeoutError:
         process.kill()
-        return "ERROR: PM2 命令超时"
+        await process.wait()
+        return "ERROR: PM2 命令超时，已强制终止"
+
+
+async def force_kill_ffmpeg(process_name: str):
+    """尝试强杀与该进程相关的 ffmpeg"""
+    cmds = [
+        # 优先杀带有进程名的 ffmpeg（最精准）
+        f"pkill -f 'ffmpeg.*{process_name}' || true",
+        # 再杀所有 ffmpeg（兜底，比较暴力）
+        "killall -9 ffmpeg 2>/dev/null || true",
+    ]
+
+    for cmd in cmds:
+        proc = await asyncio.create_subprocess_shell(
+            cmd,
+            stdout=asyncio.subprocess.DEVNULL,
+            stderr=asyncio.subprocess.DEVNULL,
+        )
+        await proc.wait()
+        await asyncio.sleep(0.4)  # 稍微间隔，避免竞争
+
 
 async def read_log_path(path: str, lines: int) -> str:
     if not path:
@@ -57,21 +80,22 @@ async def read_log_path(path: str, lines: int) -> str:
     except Exception as e:
         return f"读取日志失败 ({path}): {str(e)}\n"
 
+
 async def get_process_info(process: str) -> dict:
-    describe_raw = await run_pm2(f"describe {process}")
+    describe_raw = await run_pm2(f"describe {process}", timeout=10.0)
     describe_clean = strip_ansi_codes(describe_raw)
-    if ("No such process" in describe_clean or
-        "Unknown process" in describe_clean or
-        "not found" in describe_clean.lower() or
-        not describe_clean.strip()):
+
+    if any(x in describe_clean.lower() for x in ["no such process", "unknown process", "not found"]) or not describe_clean.strip():
         return {
             "process_status": "not_found",
             "out_path": None,
             "err_path": None,
         }
+
     status = "unknown"
     out_path = None
     err_path = None
+
     for line in describe_raw.splitlines():
         line_clean = strip_ansi_codes(line)
         if line_clean.count('│') < 2:
@@ -86,11 +110,12 @@ async def get_process_info(process: str) -> dict:
                 out_path = value
             elif key == "err_log_path":
                 err_path = value
-    # 备用默认路径
+
     if not out_path:
         out_path = str(DEFAULT_LOG_DIR / f"{process}-out.log")
     if not err_path:
         err_path = str(DEFAULT_LOG_DIR / f"{process}-error.log")
+
     return {
         "process_status": status,
         "out_path": out_path,
@@ -173,20 +198,41 @@ async def start(process: str = Query(..., description="进程名")):
     output = await run_pm2(f"start {process}")
     return JSONResponse({"output": output})
 
+
 @app.get("/stop")
 async def stop(process: str = Query(..., description="进程名")):
     if process not in VALID_PROCESSES:
         return JSONResponse({"output": f"无效进程名: {process}"}, status_code=400)
-    output = await run_pm2(f"stop {process}")
-    return JSONResponse({"output": output})
+
+    # 第一步：尝试优雅停止
+    pm2_output = await run_pm2(f"stop {process}")
+
+    # 第二步：等待 PM2 信号传播（通常 1~3 秒）
+    await asyncio.sleep(2.0)
+
+    # 第三步：主动查找并杀死 ffmpeg
+    await force_kill_ffmpeg(process)
+
+    # 第四步：再等一小会儿，确认
+    await asyncio.sleep(1.0)
+
+    return JSONResponse({
+        "message": "已执行 stop + 强杀 ffmpeg",
+        "pm2_output": pm2_output,
+        "note": "如果仍有残留，可多次点击停止或检查 pm2 logs"
+    })
+
 
 @app.get("/restart")
 async def restart(process: str = Query(..., description="进程名")):
     if process not in VALID_PROCESSES:
         return JSONResponse({"output": f"无效进程名: {process}"}, status_code=400)
     output = await run_pm2(f"restart {process}")
+    # 重启后也建议清理一次残留（视情况可选）
+    await force_kill_ffmpeg(process)
     return JSONResponse({"output": output})
 
+
 @app.get("/status")
 async def status(process: str = Query(..., description="进程名")):
     if process not in VALID_PROCESSES:
@@ -196,14 +242,17 @@ async def status(process: str = Query(..., description="进程名")):
             "recent_log": f"无效进程名: {process}",
             "recent_error": ""
         })
-    full_status_raw = await run_pm2("status")
+
+    full_status_raw = await run_pm2("status", timeout=8.0)
     full_status = strip_ansi_codes(full_status_raw)
     info = await get_process_info(process)
     recent_log = await read_log_path(info["out_path"], MAX_LOG_LINES)
     recent_error = await read_log_path(info["err_path"], MAX_LOG_LINES)
+
     if info["process_status"] == "not_found":
         recent_log = "进程未注册到 PM2（可能被 pm2 delete 删除或从未保存）\n"
         recent_error = ""
+
     return JSONResponse({
         "raw_status": full_status,
         "process_status": info["process_status"],
@@ -211,7 +260,8 @@ async def status(process: str = Query(..., description="进程名")):
         "recent_error": recent_error,
     })
 
+
 # ---------------- 首页 ----------------
 @app.get("/")
 async def index():
-    return FileResponse(BASE_DIR / "index.html")
+    return FileResponse(BASE_DIR / "index.html")