Phase 2.4: Metadata import from external files (CSV, Excel, JSON)
Created comprehensive metadata_importer.py module:
- CSV import with multiple encoding support (UTF-8, Latin1, ISO-8859-1, CP1252)
- Excel import (.xlsx, .xls) with sheet selection
- JSON import (object and array formats)
- Intelligent column detection for filename, title, subject, keywords
- Fuzzy column matching (case-insensitive, multiple aliases)
- Metadata normalization to standard format
- Import validation with statistics
- File lookup by filename stem (case-insensitive)
Web interface enhancements:
- /import-metadata endpoint for file uploads
- Import section UI (appears when Import source selected)
- Real-time import statistics display (records, title/subject/keywords counts)
- Import session management with unique session IDs
- Visual feedback (active state, success/error messages)
- Validation: requires import file before processing with import source
Import workflow:
1. User selects "Import from File" metadata source
2. Import section appears with file chooser
3. User uploads CSV/Excel/JSON with metadata
4. System validates and shows statistics
5. User uploads files to process
6. System matches files to imported metadata by filename
Supported import formats:
- CSV: filename, title, subject/description, keywords columns
- Excel: Any sheet with filename and metadata columns
- JSON: {filename: {metadata}} or [{filename, metadata}] formats
Technical features:
- Pandas DataFrame parsing for CSV/Excel
- Flexible column name detection (10+ aliases per field)
- NaN/null value handling
- List/array keyword support
- Unicode filename support
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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