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Releases: gdcc/easyDataverse

v0.4.1

11 May 12:52
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What's Changed

  • Fixes wrong dv_dir kwarg passed to dvuploader within the add_directory method
  • update pip installation in Readme.md by @abearab in #20

New Contributors

Full Changelog: v0.4.0...v0.4.1

v0.4.0

09 May 20:41
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The latest version of EasyDataverse has a new feature that eliminates the need for code generation. Now, users can connect to any Dataverse instance and generate dynamic in-memory types corresponding to the metadata blocks given at the instance. This makes it easier to create and update metadata without any hassle.

EasyDataverse now supports S3-compatible and parallelized data file uploads using the python-dvuploader. Also, the library's stability has been greatly optimized through a rigorous and comprehensive unit and integration test framework based on Dataverse Action.

What's Changed

  • Added metadatablock schema export by @JR-1991 in #2
  • fix minor typo in example by @atrisovic in #3
  • 4 error at creating a dataset from url by @JR-1991 in #7
  • Add more info on retrieving metadata and files by @atrisovic in #9
  • Add categories kwargs - fixes #15 by @JR-1991 in #17
  • Dynamic metadata block generation and DVUploader integration by @JR-1991 in #16
  • Add codespell support (config, workflow) and make it fix some typos by @yarikoptic in #18
  • Allow different filename upon file upload by @JR-1991 in #23
  • Use editMetadata endpoint for dataset updates by @JR-1991 in #21
  • Migrate to pyproject.toml by @JR-1991 in #24

New Contributors

Full Changelog: https://github.com/gdcc/easyDataverse/commits/v0.4.0