motovaultpro

4 Commits

Include renames

Author	SHA1	Message	Date
Eric Gullickson	a078962d3f	fix: Manual scanning Deploy to Staging / Build Images (pull_request) Successful in 35s Details Deploy to Staging / Deploy to Staging (pull_request) Successful in 51s Details Deploy to Staging / Verify Staging (pull_request) Successful in 8s Details Deploy to Staging / Notify Staging Ready (pull_request) Successful in 7s Details Deploy to Staging / Notify Staging Failure (pull_request) Has been skipped Details	2026-02-11 19:57:32 -06:00
Eric GullicksonandClaude Opus 4.6	013fb0c67a	feat: migrate VIN/receipt extractors and OCR service to engine abstraction (refs #117 ) Replace direct pytesseract calls with OcrEngine interface in vin_extractor.py, receipt_extractor.py, and ocr_service.py. PSM mode fallbacks replaced with engine-agnostic single-line/single-word configs. Dead _process_ocr_data removed. Co-Authored-By: Claude Opus 4.6 <[email protected]>	2026-02-07 10:56:27 -06:00
Eric GullicksonandClaude Opus 4.5	3eb54211cb	feat: add owner's manual OCR pipeline (refs #71 ) Deploy to Staging / Build Images (pull_request) Successful in 3m1s Details Deploy to Staging / Deploy to Staging (pull_request) Successful in 31s Details Deploy to Staging / Verify Staging (pull_request) Successful in 2m19s Details Deploy to Staging / Notify Staging Ready (pull_request) Successful in 7s Details Deploy to Staging / Notify Staging Failure (pull_request) Has been skipped Details 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
Eric GullicksonandClaude Opus 4.5	852c9013b5	feat: add core OCR API integration (refs #65 ) Deploy to Staging / Build Images (pull_request) Successful in 5m59s Details Deploy to Staging / Deploy to Staging (pull_request) Successful in 31s Details Deploy to Staging / Verify Staging (pull_request) Successful in 2m19s Details Deploy to Staging / Notify Staging Ready (pull_request) Successful in 7s Details Deploy to Staging / Notify Staging Failure (pull_request) Has been skipped Details OCR Service (Python/FastAPI): - POST /extract for synchronous OCR extraction - POST /jobs and GET /jobs/{job_id} for async processing - Image preprocessing (deskew, denoise) for accuracy - HEIC conversion via pillow-heif - Redis job queue for async processing Backend (Fastify): - POST /api/ocr/extract - authenticated proxy to OCR - POST /api/ocr/jobs - async job submission - GET /api/ocr/jobs/:jobId - job polling - Multipart file upload handling - JWT authentication required File size limits: 10MB sync, 200MB async Processing time target: <3 seconds for typical photos Co-Authored-By: Claude Opus 4.5 <[email protected]>	2026-02-01 16:02:11 -06:00