// Mitus — Python transport pipeline (default mode, --python or no flag)
// Sender bash script wraps ffmpeg CLI; receiver runs ffmpeg in-process via Python.
digraph python_pipeline {
    graph [fontname="monospace" bgcolor="#1e1e2e" rankdir=TB pad="0.6" splines=polyline]
    node  [fontname="monospace" fontcolor="#cdd6f4" style=filled shape=box
           fillcolor="#313244" color="#585b70" margin="0.25,0.12"]
    edge  [color="#585b70" fontname="monospace" fontcolor="#a6adc8"]

    // Hardware / OS
    drm     [label="/dev/dri/card0\n(KMS scanout)" shape=cylinder fillcolor="#1e3a2f" color="#a6e3a1"]
    pulse   [label="PulseAudio\n─────────────\nmonitor: default sink\nmic: webcam (C922)" shape=cylinder fillcolor="#1e3a2f" color="#a6e3a1"]
    net     [label="TCP :4444\nmpegts" shape=parallelogram fillcolor="#1e2a3e" color="#89b4fa"]

    subgraph cluster_sender {
        label="Sender — sender/stream_av.sh" fontcolor="#a6adc8" color="#45475a" fontname="monospace"

        watchdog [label="watchdog loop\n─────────────\nffmpeg restart on stall\n(total_size or frame stuck > 10s)\nimmediate restart on\nDRM plane format change"
                  fillcolor="#2d2038" color="#cba6f7"]

        ffmpeg_send [label="ffmpeg CLI\n─────────────\nkmsgrab → hwmap=vaapi\nscale_vaapi 1920x1080 nv12\nh264_vaapi (qp=20, gop=30, no B-frames)\namix(monitor, mic) → aac 128k\nmpegts → TCP"
                     fillcolor="#1e2d3e" color="#89b4fa"]
    }

    subgraph cluster_recorder {
        label="StreamRecorder — cht/stream/recorder.py" fontcolor="#a6adc8" color="#45475a" fontname="monospace"

        ffmpeg_recv [label="ffmpeg listener\n─────────────\nlisten=1 on TCP :4444\n→ 2 outputs:\n  fragmented MP4 (recording_*.mp4)\n  UDP :4445 (mpegts → mpv)\n  stdout pipe (showinfo)"
                     fillcolor="#1e2d3e" color="#89b4fa"]

        scene_pipe [label="scene-detect parser\n─────────────\nreads stdout pipe\nshowinfo → scene timestamps\nemits raw_frame(jpeg, ts)"
                    fillcolor="#2d2038" color="#cba6f7"]
    }

    subgraph cluster_processor {
        label="SessionProcessor — cht/stream/processor.py" fontcolor="#a6adc8" color="#45475a" fontname="monospace"

        frame_writer [label="frame writer\n─────────────\nwrites JPEG to frames/\nappends to index.json\nfires on_new_frames(ts, path)"
                      fillcolor="#2d2038" color="#cba6f7"]

        audio_extract [label="audio extractor\n─────────────\npolls fMP4 for new audio\nffmpeg → 16 kHz mono WAV\nchunks for transcription"
                       fillcolor="#2d2038" color="#cba6f7"]

        tracker [label="RecordingTracker\n─────────────\nffprobe duration\nsums segments\nfeeds timeline UI"
                 fillcolor="#2d2038" color="#cba6f7"]
    }

    transcriber [label="TranscriberEngine\n─────────────\ncht/transcriber/engine.py\nfaster-whisper (CUDA)\ngrouped segments → transcript.json"
                 fillcolor="#2d2038" color="#cba6f7"]

    gui [label="Mitus GUI (GTK4)\n─────────────\nMonitor (mpv UDP)\nScrub bar · Frames · Transcript\nAgent input/output"
         fillcolor="#2d2038" color="#cba6f7"]

    // Outputs
    fmp4   [label="stream/\nrecording_*.mp4" shape=folder fillcolor="#2a2a3e" color="#585b70"]
    udp    [label="UDP :4445\n→ mpv" shape=parallelogram fillcolor="#2a2a3e" color="#585b70"]
    frames [label="frames/\nindex.json + *.jpg" shape=folder fillcolor="#2a2a3e" color="#585b70"]
    audio  [label="audio/\nchunk_*.wav" shape=folder fillcolor="#2a2a3e" color="#585b70"]
    txt    [label="transcript.json" shape=folder fillcolor="#2a2a3e" color="#585b70"]

    // Flow — sender
    drm   -> ffmpeg_send [label="kmsgrab"]
    pulse -> ffmpeg_send [label="-f pulse"]
    watchdog -> ffmpeg_send [style=dashed label="restart"]
    ffmpeg_send -> net

    // Flow — recorder
    net -> ffmpeg_recv [label="mpegts"]
    ffmpeg_recv -> fmp4
    ffmpeg_recv -> udp
    ffmpeg_recv -> scene_pipe [label="stdout"]
    udp -> gui [label="live\nmonitor"]

    // Flow — processor
    scene_pipe -> frame_writer [label="raw_frame"]
    frame_writer -> frames
    fmp4 -> audio_extract [label="poll" style=dashed]
    audio_extract -> audio
    audio -> transcriber [label="WAV"]
    transcriber -> txt
    fmp4 -> tracker [label="ffprobe" style=dashed]
    tracker -> gui [label="duration"]

    // Flow — GUI
    frames -> gui
    txt    -> gui
}