Hermes-agent
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#!/usr/bin/env python3
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"""Fetch YouTube transcripts for Memento quiz generation.
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Requires: pip install youtube-transcript-api
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The quiz question *generation* is done by the agent's LLM — this script only fetches transcripts.
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"""
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import argparse
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import json
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import re
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import sys
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def _out(obj: object) -> None:
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json.dump(obj, sys.stdout, indent=2, ensure_ascii=False)
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sys.stdout.write("\n")
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def _normalize_segments(segments: list) -> str:
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parts = []
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for seg in segments:
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text = str(seg.get("text", "")).strip()
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if text:
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parts.append(text)
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return re.sub(r"\s+", " ", " ".join(parts)).strip()
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def cmd_fetch(args: argparse.Namespace) -> None:
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try:
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import youtube_transcript_api # noqa: F811
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except ImportError:
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_out({
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"ok": False,
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"error": "missing_dependency",
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"message": "Run: pip install youtube-transcript-api",
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})
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sys.exit(1)
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video_id = args.video_id
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languages = ["en", "en-US", "en-GB", "en-CA", "en-AU"]
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api = youtube_transcript_api.YouTubeTranscriptApi()
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try:
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raw = api.fetch(video_id, languages=languages)
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except Exception as exc:
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error_type = type(exc).__name__
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_out({
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"ok": False,
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"error": "transcript_unavailable",
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"error_type": error_type,
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"message": f"Could not fetch transcript for {video_id}: {exc}",
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})
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sys.exit(1)
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segments = raw
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if hasattr(raw, "to_raw_data"):
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segments = raw.to_raw_data()
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text = _normalize_segments(segments)
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if not text:
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_out({
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"ok": False,
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"error": "empty_transcript",
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"message": f"Transcript for {video_id} contained no usable text.",
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})
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sys.exit(1)
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_out({
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"ok": True,
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"video_id": video_id,
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"transcript": text,
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})
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def main() -> None:
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parser = argparse.ArgumentParser(description="Memento YouTube transcript fetcher")
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sub = parser.add_subparsers(dest="command", required=True)
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p_fetch = sub.add_parser("fetch", help="Fetch transcript for a video")
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p_fetch.add_argument("video_id", help="YouTube video ID")
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args = parser.parse_args()
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if args.command == "fetch":
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cmd_fetch(args)
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if __name__ == "__main__":
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main()
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