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Releases: GLAM-Workbench/trove-newspaper-harvester

v2.1.1

25 May 06:59
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Added relevance filtering to the 'Reshaping your newspaper harvest' notebook.

v2.1.0

24 May 04:30
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Added notebooks:

  • Using the Trove Harvester as a Python package
  • Reshaping your newspaper harvest

Edits to:

  • Using the Trove Newspaper Harvester on the command line

Also some updates to the RO-Crate metadata to bring it into line with other repos.

v2.0.1

25 Oct 11:50
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  • Updated to use latest version to trove-newspaper-harvester
  • Added ro-crate-metadata.json file describing the repository

v2.0.0

31 Aug 01:08
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Now using v3 of the Trove API. Changes include:

  • Update trove-newspaper-harvester and trove-query-parser packages for v3 support.
  • Update all Python packages
  • Make default runtime Python 3.10
  • Add jupyter_lab_config.py file to configure Voila and default lab url
  • Move scripts to a scripts directory

v1.3.0

16 Mar 03:50
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Added a new notebook to demonstrate how to use the harvester as a Python library to harvest complex searches:

  • Harvesting articles that mention "Anzac Day" on Anzac Day

v1.2.2

11 Oct 12:18
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  • Update to latest version of trove-newspaper-harvester package
  • Modify Voila app to provide useful error messages

v1.2.1

27 Sep 12:45
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Update trove-newspaper-harvester and trove-newspaper-images to the latest versions.

v1.2.0

21 Sep 14:14
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The old troveharvester package has been replaced with the brand new trove-newspaper-harvester Python package. You can use the new package as either a library of as a command-line tool. This has enabled me to simplify the notebooks that use the harvester, particularly the Voila app.

v1.1.1

29 Aug 03:39
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Update troveharvester to 0.5.1

v1.1.0

23 Jun 05:58
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There are no major changes to notebooks in this release, most of the updates are behind-the-scenes, including:

  • Switch to using latest version of troveharvester
  • Update all packages
  • Implement basic testing and linting using nbqa, pytest, and nbval
  • Switch to using pip-tools to manage requirements
  • All notebooks tested and formatted using Black, iSort, and Flake8