- Add logging warning in DeepAnalyzer.__init__
- Warn that Bilibili video should use SRTProcessor instead
- Keep functionality intact for Zhihu and other platforms
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Test Bilibili video uses SRTProcessor (not AnalyzeProcessor)
- Test Bilibili article uses AnalyzeProcessor (not SRTProcessor)
- Test Zhihu answer uses AnalyzeProcessor
- Test Markdown output format verification
All 4 tests pass.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Import SRTProcessor from processors module
- Add SRTProcessor to processors list
- Update PipelineConfig.steps to include 'srt' step
- Pipeline will select SRTProcessor or AnalyzeProcessor based on platform
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add Bilibili video detection: platform=bilibili and content_type=video
- Skip analyze step for Bilibili videos, use srt step instead
- Skip srt step for non-Bilibili-video content
- Add SRTInput import and step input creation logic
- Update _populate_skipped_step_results for srt step
- Add output_file, paragraphs, tags, corrected to result fields
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Create 12-01-SUMMARY.md with implementation details
- Update STATE.md with current position (Phase 12, 50% complete)
- Update ROADMAP.md with plan progress
- Mark requirements SRT-01~04, OUT-01~02, OUT-04 as complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add SemanticSegmenter and ASRCorrector to __all__
- Maintain lazy loading for optional dependencies
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add SRTInput/SRTOutput schemas to pipeline
- Create SRTProcessor following BaseProcessor pattern
- Generate Markdown with YAML frontmatter
- Support metadata extraction and formatting
- Handle missing metadata gracefully
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Use LLM to correct obvious ASR errors (homophones, missing words)
- Batch processing for long text (5000 chars per batch)
- Fallback to original text when AI unavailable
- Simple sentence-based text splitting
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Test obvious homophone error correction
- Test contextual error correction
- Test no overcorrection on correct text
- Test AI unavailable fallback
- Test batch processing for long text
- Test empty text handling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Merge short segments into paragraphs
- Split on time gaps (>3 seconds by default)
- Enforce max paragraph length (500 chars by default)
- Simple rule-based approach (no LLM needed)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Test merging short segments into paragraphs
- Test segmentation on topic change (time gap)
- Test max paragraph length constraint
- Test empty segments handling
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add Segment dataclass for subtitle segments
- Add parse_srt() function to parse SRT content string
- Add parse_srt_file() function to parse from file path
- Support standard SRT format with timestamps
- Handle special characters and multi-line subtitles
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Test standard SRT format parsing
- Test special character handling
- Test error handling for invalid/empty content
- Test file parsing functionality
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
starmen1265