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](https://github.com/gdcc/python-dvuploader/tree/main). Also, the library's stability has been greatly optimized through a rigorous and comprehensive unit and integration test framework based on [Dataverse Action](https://github.com/gdcc/dataverse-action).
What's Changed
* Added metadatablock schema export by JR-1991 in https://github.com/gdcc/easyDataverse/pull/2
* fix minor typo in example by atrisovic in https://github.com/gdcc/easyDataverse/pull/3
* 4 error at creating a dataset from url by JR-1991 in https://github.com/gdcc/easyDataverse/pull/7
* Add more info on retrieving metadata and files by atrisovic in https://github.com/gdcc/easyDataverse/pull/9
* Add `categories` kwargs - fixes 15 by JR-1991 in https://github.com/gdcc/easyDataverse/pull/17
* Dynamic metadata block generation and DVUploader integration by JR-1991 in https://github.com/gdcc/easyDataverse/pull/16
* Add codespell support (config, workflow) and make it fix some typos by yarikoptic in https://github.com/gdcc/easyDataverse/pull/18
* Allow different filename upon file upload by JR-1991 in https://github.com/gdcc/easyDataverse/pull/23
* Use `editMetadata` endpoint for dataset updates by JR-1991 in https://github.com/gdcc/easyDataverse/pull/21
* Migrate to `pyproject.toml` by JR-1991 in https://github.com/gdcc/easyDataverse/pull/24
New Contributors
* atrisovic made their first contribution in https://github.com/gdcc/easyDataverse/pull/3
* yarikoptic made their first contribution in https://github.com/gdcc/easyDataverse/pull/18
**Full Changelog**: https://github.com/gdcc/easyDataverse/commits/v0.4.0