Experimental support for multi-source collections & WSI

Includes usage of Azure Blob client to facilitate large uploads beyond 100MB and experimental support for 'whole slide images'.

Bug fixes and improvements when creating collections

• Some known non-image file extensions will be excluded when ignoring mime type during upload.
• Bug fixes and improvements to collection creation process to support processing optimisations.
• Total upload file size will be reported during collection creation when using verbose flag (-v).
• Warning when uploading files larger than 256MB.
• Bug fixes for deepzoom collection creation.
• Support creating collections without clustering.

Support images only collection creation

Allow images only collection with CLI (#76)

https://github.com/zegami/zegami-cli/pull/76

Co-authored-by: Andy Haith <[email protected]>

Faster file uploads & url imageset improvements

• Added support for specifying custom headers when creating imagesets from URLs.
• Improved performance & stability when uploading file imagesets.
• Added support for image/bmp files.
• Support for optional automatic column join selection when uploading imagesets.

1.2 pre-release

Pre-release version which includes a faster upload flow among other changes.

For internal usage with ship

Make a PUT request to update join dataset (#60)

Make a PUT request to update the existing join dataset with the dataset_column rather than creating a new join dataset and replace the existing one. This will be the same behaviour as new collection creation.

1.1.7

Changes

• Add support for Azure-based projects #51

1.1.6

Changes

• Add configuration for Azure Pipelines gating #47
• Fix import on windows with Python 3.8/SQLAlchemy #46

Python 3.8 support

Tested for support of Python 3.8 and updated steup.py

Simplified Azure dependencies

Switched Azure dependencies from azure to azure-storage-blob in order to reduce module bloat