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5 Commits
Author SHA1 Message Date
Eric Gullickson 55a7bcc874 fix: Manual polling typo
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2026-02-11 20:06:03 -06:00
Eric GullicksonandClaude Opus 4.6 209425a908 feat: rewrite ManualExtractor progress to spec-aligned 10/50/95/100 pattern (refs #143)
Co-Authored-By: Claude Opus 4.6 <[email protected]>
2026-02-11 14:40:11 -06:00
Eric GullicksonandClaude Opus 4.6 57ed04d955 feat: rewrite ManualExtractor to use Gemini engine (refs #134)
Replace traditional OCR pipeline (table_detector, table_parser,
maintenance_patterns) with GeminiEngine for semantic PDF extraction.
Map Gemini serviceName values to 27 maintenance subtypes via
ServiceMapper fuzzy matching. Add 8 unit tests covering normal
extraction, unusual names, empty response, and error handling.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
2026-02-11 10:24:11 -06:00
Eric Gullickson b9fe222f12 fix: Build errors and tesseract removal
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2026-02-07 12:12:04 -06:00
Eric GullicksonandClaude Opus 4.5 3eb54211cb feat: add owner's manual OCR pipeline (refs #71)
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Implement async PDF processing for owner's manuals with maintenance
schedule extraction:

- Add PDF preprocessor with PyMuPDF for text/scanned PDF handling
- Add maintenance pattern matching (mileage, time, fluid specs)
- Add service name mapping to maintenance subtypes
- Add table detection and parsing for schedule tables
- Add manual extractor orchestrating the complete pipeline
- Add POST /extract/manual endpoint for async job submission
- Add Redis job queue support for manual extraction jobs
- Add progress tracking during processing

Processing pipeline:
1. Analyze PDF structure (text layer vs scanned)
2. Find maintenance schedule sections
3. Extract text or OCR scanned pages at 300 DPI
4. Detect and parse maintenance tables
5. Normalize service names and extract intervals
6. Return structured maintenance schedules with confidence scores

Co-Authored-By: Claude Opus 4.5 <[email protected]>
2026-02-01 21:30:20 -06:00