Data Importer & Cleaner v1.0.1

This audit-hardening release aligns the downloadable Windows application with the current documented and tested product state.

Fixed

• made the selected data culture deterministic across import, profiling, validation and cleaning;
• applied a saved profile's culture before parsing source values;
• exposed profile and culture selection before file import;
• limited the interactive preview to 1,000 rows without limiting validation, cleaning, deduplication or export.

Quality

• 63 automated tests, including eight dedicated App/ViewModel regression tests;
• per-assembly line-coverage gates enforced in CI;
• 27 documentation validation checks;
• refreshed portfolio screenshots;
• current supported GitHub Actions versions;
• consistent Dependabot grouping and dependency updates.

Verification

• Release build: zero warnings and zero errors;
• automated tests: 63 passed;
• documentation validation: 27 passed;
• DataCleaner.App line coverage: 58.31%;
• DataCleaner.Application line coverage: 74.03%;
• DataCleaner.Domain line coverage: 70.37%;
• DataCleaner.Infrastructure line coverage: 88.56%;
• self-contained package: DataImporterCleaner-v1.0.1-win-x64.zip;
• published GitHub package SHA-256: 621B07B0092639F51E2B0373AF0F41408A250E8E4134A3771C6B8C9FA0BCA291;
• a matching .sha256 file is published beside the ZIP and is the authoritative checksum for the release asset;
• the archive includes samples/synthetic-customers.csv for an immediate offline demo.

Known limitations

• Windows x64 only;
• CSV and XLSX input only;
• no fuzzy duplicate matching, cloud synchronization or multi-user features;
• the release is not code-signed;
• clean-machine installation validation was not performed and is not claimed.

Data Importer & Cleaner v1.0.0

Data Importer & Cleaner v1.0.0

This is the first stable portfolio release for Windows 10/11 x64.

Included

• CSV and XLSX import with preview, profiling and source-to-target mapping;
• reusable local import profiles;
• configurable validation with rejected-row review;
• deterministic cleaning with before/after evidence;
• exact single or composite-key duplicate handling;
• CSV, XLSX and SQLite export with row filters;
• independent CSV error report and local processing history;
• packaged synthetic customer dataset for an immediate offline demo.

Verification

• Release build: zero warnings and zero errors;
• automated tests: 55 passed;
• 50,000-row synthetic pipeline: 2.853 seconds on the documented development machine;
• self-contained package: DataImporterCleaner-v1.0.0-win-x64.zip;
• package size: 67.86 MiB;
• local reference package SHA-256: 861EBFCAD3DE1E0735966392D240DECBA0AF629B14AAD59C986527945759A338;
• the GitHub release workflow publishes a matching .sha256 file for its generated ZIP;
• archive structure, application version and packaged sample identity verified after extraction;
• three portfolio screenshots generated from the real stable WPF UI using the synthetic workflow.

Known limitations

• Windows x64 only;
• CSV and XLSX input only;
• no fuzzy duplicate matching, cloud synchronization or multi-user features;
• the release is not code-signed;
• clean-machine installation validation was not performed and is not claimed.