feat: multipart/form-data image upload endpoint with inline pipeline ...

- Add POST /api/v1/ingest/with-images accepting metadata (JSON Form) + images (UploadFile list)
- Stream images to temp storage and run pipeline inline with fresh AsyncSessionLocal
- Mark raw status=processing immediately to prevent queue worker race condition
- Add process_local_file() to ImageDownloader for handling already-downloaded images
- Split pipeline image processing: _stage_process_uploaded_images vs _stage_process_remote_images
- Process uploaded images sequentially to avoid SQLAlchemy concurrent flush errors
- Commit pipeline session explicitly after inline processing
- Clean up temp files in finally block regardless of pipeline outcome
- Add python-multipart dependency for FastAPI multipart parsing
- Update README with multipart endpoint docs and examples

Co-Authored-By: Claude <noreply@anthropic.com>

docs: update README with Docker guide and parser API reference ...

- Add Docker quick-start instructions
- Add manual dev setup instructions
- Document POST /api/v1/ingest endpoint for parsers
- Add payload field reference table
- Add response codes and processing statuses
- Add curl examples
- Add configuration reference table
- Add architecture diagram
- Add logging/monitoring section

Co-Authored-By: Claude <noreply@anthropic.com>

feat: core pipeline + FastAPI API (Phases 0-6) ...

Implemented the full VMK Data Collector foundation and processing pipeline:

- Config, logging, exception hierarchy
- DB models (listings, raw data, images, snapshots, enrichments, custom fields)
- Alembic async migrations
- Repositories with upsert/snapshot support
- Domain entities and Pydantic schemas
- Ollama AI client with mock mode
- AI normalizer, image analyzer, enricher
- Image downloader with SHA-256 dedup
- PropertyPipeline: raw -> AI validate -> upsert/snapshot -> images -> enrich
- FastAPI app with /api/v1/ingest endpoint

Co-Authored-By: Claude <noreply@anthropic.com>

Initial commit