457 lines
16 KiB
Python
457 lines
16 KiB
Python
"""
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StreamManager: orchestrates ffmpeg for recording and scene detection.
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Architecture:
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sender → TCP:4444 → ffmpeg (writes recording.ts)
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recording.ts → mpv (plays via Timeline)
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recording.ts → ffmpeg scene detection (periodic, incremental)
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"""
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import json
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import logging
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import re
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import time
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from pathlib import Path
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from threading import Thread
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from cht.config import (
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STREAM_HOST,
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STREAM_PORT,
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RELAY_PORT,
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SCENE_THRESHOLD,
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SESSIONS_DIR,
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AUDIO_EXTRACT_INTERVAL,
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AUDIO_SAFETY_MARGIN,
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)
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from cht.stream import ffmpeg as ff
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log = logging.getLogger(__name__)
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def list_sessions():
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"""Return list of (session_id, session_dir) sorted newest first."""
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if not SESSIONS_DIR.exists():
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return []
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sessions = []
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for d in sorted(SESSIONS_DIR.iterdir(), reverse=True):
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if d.is_dir() and (d / "frames").exists():
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sessions.append((d.name, d))
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return sessions
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def delete_sessions(session_ids):
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"""Delete session directories by ID."""
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import shutil
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for sid in session_ids:
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path = SESSIONS_DIR / sid
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if path.exists() and path.is_dir():
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shutil.rmtree(path)
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log.info("Deleted session: %s", sid)
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class StreamManager:
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def __init__(self, session_id=None):
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if session_id is None:
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session_id = time.strftime("%Y%m%d_%H%M%S")
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self.session_id = session_id
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self.session_dir = SESSIONS_DIR / session_id
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self.stream_dir = self.session_dir / "stream"
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self.frames_dir = self.session_dir / "frames"
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self.transcript_dir = self.session_dir / "transcript"
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self.audio_dir = self.session_dir / "audio"
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self.agent_dir = self.session_dir / "agent"
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self._procs = {}
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self._threads = {}
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self._stop_flags = set()
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self._segment = 0
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self.scene_threshold = SCENE_THRESHOLD
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self.readonly = False # True when loaded from existing session
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log.info("Session: %s", session_id)
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@classmethod
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def from_existing(cls, session_id):
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"""Load an existing session without starting any ffmpeg processes."""
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mgr = cls(session_id=session_id)
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if not mgr.session_dir.exists():
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raise FileNotFoundError(f"Session not found: {session_id}")
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mgr.readonly = True
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# Point _segment to last recording segment
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segments = mgr.recording_segments
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if segments:
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mgr._segment = len(segments) - 1
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log.info("Loaded existing session: %s (%d segments, %d frames)",
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session_id, len(segments), mgr.frame_count)
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return mgr
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@property
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def frame_count(self):
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index_path = self.frames_dir / "index.json"
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if index_path.exists():
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try:
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return len(json.loads(index_path.read_text()))
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except Exception:
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pass
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return 0
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def total_duration(self):
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"""Probe total duration across all segments (for completed sessions)."""
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total = 0.0
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for seg in self.recording_segments:
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try:
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import ffmpeg as ffmpeg_lib
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info = ffmpeg_lib.probe(str(seg))
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dur = float(info.get("format", {}).get("duration", 0))
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if dur <= 0:
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for s in info.get("streams", []):
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sdur = float(s.get("duration", 0))
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if sdur > 0:
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dur = sdur
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break
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if dur <= 0:
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dur = seg.stat().st_size / 65_000
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total += dur
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except Exception:
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total += seg.stat().st_size / 65_000
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return total
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def setup_dirs(self):
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for d in (self.stream_dir, self.frames_dir, self.transcript_dir, self.audio_dir, self.agent_dir):
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d.mkdir(parents=True, exist_ok=True)
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@property
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def stream_url(self):
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return f"tcp://{STREAM_HOST}:{STREAM_PORT}?listen"
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@property
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def relay_url(self):
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return f"udp://127.0.0.1:{RELAY_PORT}"
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@property
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def recording_path(self):
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"""Current recording segment path."""
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return self.stream_dir / f"recording_{self._segment:03d}.mp4"
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@property
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def recording_segments(self):
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"""All recording segments in order."""
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return sorted(self.stream_dir.glob("recording_*.mp4"))
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# -- Recording --
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def start_recorder(self):
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"""Start ffmpeg to receive TCP stream, write to fMP4, and relay to UDP."""
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# Start after existing segments (for resumed sessions)
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existing = self.recording_segments
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self._segment = len(existing)
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self._launch_recorder()
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def restart_recorder(self):
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"""Restart recorder into a new segment. Session stays alive."""
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old = self._procs.pop("recorder", None)
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if old:
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ff.stop_proc(old)
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self._segment += 1
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log.info("Restarting recorder → segment %d", self._segment)
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self._launch_recorder()
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def recorder_alive(self):
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"""Check if the recorder process is still running."""
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proc = self._procs.get("recorder")
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return proc is not None and proc.poll() is None
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def _launch_recorder(self):
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node = ff.receive_record_and_relay(self.stream_url, self.recording_path, self.relay_url)
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proc = ff.run_async(node, pipe_stderr=True)
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self._procs["recorder"] = proc
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log.info("Recorder: pid=%s → %s", proc.pid, self.recording_path)
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self._start_stderr_reader("recorder", proc)
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# -- Scene Detection --
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def start_scene_detector(self, on_new_frames=None):
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"""Periodically run scene detection on new portions of the recording.
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Args:
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on_new_frames: callback(list of {id, timestamp, path}) for new frames
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"""
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self._on_new_frames = on_new_frames
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def _detect():
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processed_time = 0.0
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idle_cycles = 0
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current_segment = None
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while "stop" not in self._stop_flags:
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# Adaptive sleep: faster at lower thresholds (more sensitive)
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# threshold 0.01→1s base, 0.10→1s, 0.50→2s
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base = max(1.0, min(2.0, self.scene_threshold * 10))
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sleep_secs = base if idle_cycles == 0 else min(base * 2, base * (2 ** idle_cycles))
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time.sleep(sleep_secs)
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seg = self.recording_path
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if not seg.exists():
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continue
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# New segment started — reset per-segment progress
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if seg != current_segment:
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current_segment = seg
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processed_time = 0.0
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idle_cycles = 0
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log.info("Scene detector: switched to %s", seg.name)
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size = seg.stat().st_size
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if size < 100_000:
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continue
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# Probe current segment duration directly (not total across segments)
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safe_duration = self._estimate_safe_duration()
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if safe_duration is None or safe_duration <= 0:
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continue
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# 2s safety margin for incomplete tail fragments
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process_to = safe_duration - 2
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if process_to <= processed_time + 0.5:
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continue
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log.info("Scene detection: %.1fs → %.1fs", processed_time, process_to)
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new_frames = self._detect_scenes(
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start_time=processed_time,
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end_time=process_to,
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)
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if new_frames:
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idle_cycles = 0
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log.info("Found %d new scene frames (total: %d)",
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len(new_frames), self._next_frame_number() - 1)
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if self._on_new_frames:
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self._on_new_frames(new_frames)
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else:
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idle_cycles += 1
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processed_time = process_to
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log.info("Scene detector stopped")
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t = Thread(target=_detect, daemon=True, name="scene_detector")
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t.start()
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self._threads["scene_detector"] = t
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def _estimate_safe_duration(self):
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"""Estimate recording duration. Uses ffprobe, falls back to file size.
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For fragmented MP4 (empty_moov), format-level duration is 0 so we
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check stream duration from the last video stream instead.
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"""
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try:
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import ffmpeg as ffmpeg_lib
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info = ffmpeg_lib.probe(str(self.recording_path))
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# Format duration works for non-fragmented; 0 for empty_moov fMP4
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dur = float(info.get("format", {}).get("duration", 0))
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if dur > 0:
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return dur
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# Fragmented MP4: check video stream duration
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for stream in info.get("streams", []):
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sdur = float(stream.get("duration", 0))
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if sdur > 0:
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return sdur
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except Exception:
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pass
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# Fallback: rough estimate from file size (~500kbit/s typical for this stream)
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try:
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size = self.recording_path.stat().st_size
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return size / 65_000 # ~500kbps → 62.5 KB/s
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except Exception:
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return None
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def _next_frame_number(self):
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"""Determine next frame number from the index (source of truth)."""
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index_path = self.frames_dir / "index.json"
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if index_path.exists():
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index = json.loads(index_path.read_text())
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return len(index) + 1
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return 1
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def _detect_scenes(self, start_time, end_time):
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"""Run ffmpeg scene detection on a time range. Returns list of new frame entries."""
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duration = end_time - start_time
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start_number = self._next_frame_number()
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try:
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_stdout, stderr = ff.extract_scene_frames(
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self.recording_path,
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self.frames_dir,
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scene_threshold=self.scene_threshold,
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start_number=start_number,
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start_time=start_time,
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duration=duration,
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)
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except Exception as e:
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log.error("Scene detection failed: %s", e)
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return []
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# Parse new frames from showinfo output — match each showinfo line
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# to the corresponding file ffmpeg wrote (sequential from start_number)
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new_frames = []
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index_path = self.frames_dir / "index.json"
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index = json.loads(index_path.read_text()) if index_path.exists() else []
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frame_num = start_number
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for line in stderr.splitlines():
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if "showinfo" not in line:
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continue
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pts_match = re.search(r"pts_time:\s*([\d.]+)", line)
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if pts_match:
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pts_time = float(pts_match.group(1))
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frame_id = f"F{frame_num:04d}"
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frame_path = self.frames_dir / f"{frame_id}.jpg"
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if frame_path.exists():
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entry = {
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"id": frame_id,
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"timestamp": pts_time,
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"path": str(frame_path),
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"sent_to_agent": False,
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}
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index.append(entry)
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new_frames.append(entry)
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frame_num += 1
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index_path.write_text(json.dumps(index, indent=2))
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return new_frames
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def capture_now(self, on_new_frames=None):
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"""Capture a single frame from the current recording position.
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Grabs the latest available frame (safe_duration - 1s) and adds it
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to the index. Runs in a thread to avoid blocking the UI.
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"""
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def _capture():
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safe_duration = self._estimate_safe_duration()
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if not safe_duration or safe_duration < 1:
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log.warning("capture_now: recording too short")
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return
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timestamp = safe_duration - 1
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index_path = self.frames_dir / "index.json"
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index = json.loads(index_path.read_text()) if index_path.exists() else []
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frame_num = len(index) + 1
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frame_id = f"F{frame_num:04d}"
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frame_path = self.frames_dir / f"{frame_id}.jpg"
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try:
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ff.extract_frame_at(self.recording_path, frame_path, timestamp)
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except Exception as e:
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log.error("capture_now failed: %s", e)
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return
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if not frame_path.exists():
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log.warning("capture_now: frame not written")
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return
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entry = {
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"id": frame_id,
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"timestamp": timestamp,
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"path": str(frame_path),
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"sent_to_agent": False,
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}
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index.append(entry)
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index_path.write_text(json.dumps(index, indent=2))
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log.info("Manual capture: %s at %.1fs", frame_id, timestamp)
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if on_new_frames:
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on_new_frames([entry])
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Thread(target=_capture, daemon=True, name="capture_now").start()
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# -- Audio Extraction --
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def start_audio_extractor(self, on_new_audio=None):
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"""Periodically extract audio from the growing recording as WAV chunks.
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Same incremental pattern as scene detector: polls recording, extracts
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new time range, calls back with (wav_path, start_time, duration).
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Args:
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on_new_audio: callback(wav_path, start_time, duration)
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"""
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self._on_new_audio = on_new_audio
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self.audio_dir.mkdir(parents=True, exist_ok=True)
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def _extract():
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processed_time = 0.0
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chunk_num = 0
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current_segment = None
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while "stop" not in self._stop_flags:
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time.sleep(AUDIO_EXTRACT_INTERVAL)
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seg = self.recording_path
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if not seg.exists():
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continue
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if seg != current_segment:
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current_segment = seg
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processed_time = 0.0
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chunk_num = 0
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log.info("Audio extractor: switched to %s", seg.name)
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if seg.stat().st_size < 100_000:
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continue
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safe_duration = self._estimate_safe_duration()
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if safe_duration is None or safe_duration <= 0:
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continue
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process_to = safe_duration - AUDIO_SAFETY_MARGIN
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if process_to <= processed_time + 1.0:
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continue
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chunk_duration = process_to - processed_time
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wav_path = self.audio_dir / f"chunk_{chunk_num:04d}.wav"
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try:
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ff.extract_audio_chunk(
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seg, wav_path,
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start_time=processed_time,
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duration=chunk_duration,
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)
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except Exception as e:
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log.error("Audio extraction failed: %s", e)
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continue
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if wav_path.exists() and wav_path.stat().st_size > 100:
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log.info("Audio chunk: %s (%.1fs → %.1fs)",
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wav_path.name, processed_time, process_to)
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if self._on_new_audio:
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self._on_new_audio(wav_path, processed_time, chunk_duration)
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chunk_num += 1
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processed_time = process_to
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log.info("Audio extractor stopped")
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t = Thread(target=_extract, daemon=True, name="audio_extractor")
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t.start()
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self._threads["audio_extractor"] = t
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# -- Lifecycle --
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def stop_all(self):
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log.info("Stopping all...")
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self._stop_flags.add("stop")
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for name, proc in self._procs.items():
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log.info("Stopping %s", name)
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ff.stop_proc(proc)
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self._procs.clear()
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def _start_stderr_reader(self, name, proc):
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def _read():
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for line in proc.stderr:
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text = line.decode("utf-8", errors="replace").rstrip()
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if text:
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log.debug("[%s] %s", name, text)
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log.info("[%s] exited: %s", name, proc.poll())
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Thread(target=_read, daemon=True, name=f"{name}_stderr").start()
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