ayrisdevandClaude Sonnet 5
eccc74166a
yt-dlp headless capture (15dk segmentleme), ses peak + chat velocity sinyal tespiti, OpenAI Whisper STT (kelime zaman damgalı), BullMQ/Redis/Postgres altyapısı ve kanal durumu + transkript kütüphanesi gösteren Next.js panel. LLM virality skorlama, render/crop/altyazı ve multi-platform dağıtım bu fazın kapsamı dışında. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
"""
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Captures a YouTube live chat as timestamped JSONL for the lifetime of a
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StreamSession. chat-downloader's `get_chat` is a blocking generator, so each
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session's capture runs on its own daemon thread.
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"""
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import json
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import threading
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from pathlib import Path
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from chat_downloader import ChatDownloader
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from .queues import SHARED_MEDIA_ROOT
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_active_sessions: set[str] = set()
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def _capture_loop(session_id: str, video_id: str) -> None:
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out_dir = Path(SHARED_MEDIA_ROOT) / "raw" / session_id
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out_dir.mkdir(parents=True, exist_ok=True)
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chat_path = out_dir / "chat.jsonl"
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url = f"https://www.youtube.com/watch?v={video_id}"
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print(f"[chat-capture] started for session {session_id} ({url})")
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try:
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chat = ChatDownloader().get_chat(url)
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with chat_path.open("a", encoding="utf-8") as f:
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for message in chat:
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record = {
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"timestamp": message.get("timestamp"),
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"time_in_seconds": message.get("time_in_seconds"),
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"author": (message.get("author") or {}).get("name"),
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"message": message.get("message"),
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}
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f.write(json.dumps(record, ensure_ascii=False) + "\n")
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f.flush()
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except Exception as exc: # chat-downloader raises when the stream ends
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print(f"[chat-capture] session {session_id} stopped: {exc}")
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finally:
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_active_sessions.discard(session_id)
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def start_chat_capture(session_id: str, video_id: str | None) -> None:
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if session_id in _active_sessions or not video_id or video_id == "forced":
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return
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_active_sessions.add(session_id)
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thread = threading.Thread(target=_capture_loop, args=(session_id, video_id), daemon=True)
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thread.start()
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