trading/tests/fixtures/sample.srt
Viktor Barzin 145f7dbec5 feat(meet-kevin): caption extractor via yt-dlp
- Implement CaptionResult frozen dataclass for structured caption data
- Add parse_srt() to parse SubRip format with flexible timestamp handling
- Add extract_captions() async function using yt-dlp subprocess wrapper
- Prefer manual captions over auto-generated; clean up SRT files after parsing
- Add 16 comprehensive tests covering edge cases (empty input, malformed SRT,
  timestamp variations, language extraction, manual vs auto selection)
- Type-safe implementation with full mypy --strict compliance
- Add sample.srt fixture with 3 segments mentioning NVDA for test reference
2026-05-21 19:40:52 +00:00

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Welcome back to Meet Kevin
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Today we are talking about NVDA and AMD earnings
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You will want to watch this until the end