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15.0.1

Not secure
===================

Fixed
-----
- Fix storage migration to use less memory


===================

15.0.0

Not secure
===================

Changed
-------
- Log plumbum commands to standard output
- Change storage data relation from many-to-one to many-to-many
- Moved ``purged`` field from ``Data`` to ``DataLocation`` model

Added
-----
- Add ``run_process`` method to ``Process`` to support triggering
of a new process from the running Python process
- Add DataLocation model and pair it with Data model to handle data location
- Add ``entity_names`` field to ``DataSerializer``
- Support duplication of ``Data``, ``Entity`` and ``Collection``
- Support moving entities between collections
- Support relations requirement in process syntax


===================

14.4.0

Not secure
===================

Changed
-------
- Purge processes only not jet purged Data objects

Fixed
-----
- Allow references to missing Data objects in the output of finished Data
objects, as we don't have the control over what (and when) is deleted


===================

14.3.0

Not secure
===================

Added
-----
- Add ``scheduled`` field to ``Data`` objects to store the date when object
was dispatched to the scheduling system
- Add ``purge`` field to ``Data`` model that indicates whether ``Data`` object
was processed by ``purge``

Fixed
-----
- Make Elasticsearch build arguments cache thread-safe and namespace cache
keys to make sure they don't interfere
- Trigger the purge outside of the transaction, to make sure the Data object
is commited in the database when purge worger grabs it


===================

14.2.0

Not secure
===================

Added
-----
- Add ``input`` Jinja filter to access input fields


===================

14.1.0

Not secure
===================

Added
-----
- Add ``assertFilesExist`` method to ``ProcessTestCase``
- Add ``clean_test_dir`` management command that removes files created during
testing

Fixed
-----
- Support registration of Python processes inherited from ``process.Process``
- Skip docker image pull if image exists locally. This solves the issue
where pull would fail if process uses an image that is only used locally.


===================

Page 23 of 31

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