- 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 |
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| .. | ||
| api_gateway | ||
| learning_engine | ||
| market_data | ||
| meet_kevin_watcher | ||
| news_fetcher | ||
| sentiment_analyzer | ||
| signal_generator | ||
| trade_executor | ||
| __init__.py | ||