mitai-jinkendo/backend/csv_parser
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feat(csv-import): Refactor CSV import logic and enhance data handling
- Updated the CSV import architecture to clarify the distinction between import and data layer responsibilities, as outlined in the new section of ARCHITECTURE.md.
- Enhanced the build_row_after_mapping function to include module-specific context for improved data processing.
- Introduced source unit options in the admin CSV template editor to facilitate user-defined conversions, improving flexibility in handling various data formats.
- Added new tests to validate the handling of source units and ensure accurate conversions during CSV imports.
- Updated module definitions to include unit specifications for nutritional and activity data fields, enhancing data integrity.
2026-04-10 09:54:32 +02:00
..
__init__.py feat(csv-parser): Implement CSV import functionality with mapping and type conversion 2026-04-09 21:37:19 +02:00
core.py feat(csv-parser): Introduce header signature ranking metrics for enhanced CSV analysis 2026-04-10 07:08:21 +02:00
executor.py feat(csv-import): Refactor CSV import logic and enhance data handling 2026-04-10 09:54:32 +02:00
field_units.py feat(csv-import): Refactor CSV import logic and enhance data handling 2026-04-10 09:54:32 +02:00
mapping_suggest.py feat(csv-import): Refactor CSV import logic and enhance data handling 2026-04-10 09:54:32 +02:00
module_registry.py feat(csv-import): Refactor CSV import logic and enhance data handling 2026-04-10 09:54:32 +02:00
permissions.py feat(csv-parser): Implement CSV import functionality with mapping and type conversion 2026-04-09 21:37:19 +02:00
sleep_apple_import.py feat(csv-import): Enhance Apple sleep CSV import functionality 2026-04-10 07:52:04 +02:00
type_converter.py feat(csv-import): Refactor CSV import logic and enhance data handling 2026-04-10 09:54:32 +02:00