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v1.2.0 release #778

Merged
merged 9 commits into from
Nov 7, 2024
Merged

v1.2.0 release #778

merged 9 commits into from
Nov 7, 2024

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ddobie
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@ddobie ddobie commented Nov 7, 2024

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ddobie and others added 9 commits October 15, 2024 14:53
* Initial changelog formatting issues

* Update changelog + instructions

* Updated changelog
* Updated Code of conduct

* Updated changelog

* Fixed grammar

* Fix zenodo DOI
* Shorten names

* Updated changelog
* timing and memory benchmark

* delete raw initial

* adding profiler

* optimisation handling exceptions

* Added logging

* Updated delete_run

* Fix syntax errors

* Disable triggers to see if that fixes speed issues

* Remove memory profiling

* Reenabled logging

* Add end of loop logging, remove tqdm

* Remove all tqdm, improve logging slightly

* Added timing

* Fixed tqdm missing

* Fix logging

* Added units to logging

* specify source id in logging

* Toggle triggers

* clean up clearpiperun

* Other minor updates

* Fix variable name

* Correctly handle images and skyregions that are associated with multiple runs

* PEP8

* Updated changelog

* Remove commented code

* Remove whitespace - don't know why the linter didn't pick this up

* Update vast_pipeline/management/commands/clearpiperun.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/management/commands/clearpiperun.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/management/commands/clearpiperun.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/management/commands/clearpiperun.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Update vast_pipeline/utils/delete_run.py

Co-authored-by: Tom Mauch <[email protected]>

* Fix logging count

* Clean up logging statements

---------

Co-authored-by: Shibli Saleheen <[email protected]>
Co-authored-by: Tom Mauch <[email protected]>
* Use itertuples over iterrows since iterrows is an enormous memory hog.

* Drop sources_df columns before renaming id column to avoid a copy of the while dataframe in memory.

* Decrease default partition size to 15MB

* Dont split (large-in-memory) list of DataFrames into dask bags (No performance hit).

* Don't write forced parquets in parallel (No perfomance hit for this).

* Dont overwrite input DataFrame when writing parquets.

* Update CHANGELOG.md

* Address review comments.

* Copy YAML objects before revalidation so the can be garbage collected.

* Appease flake8
* Use itertuples over iterrows since iterrows is an enormous memory hog.

* Drop sources_df columns before renaming id column to avoid a copy of the while dataframe in memory.

* Decrease default partition size to 15MB

* Dont split (large-in-memory) list of DataFrames into dask bags (No performance hit).

* Don't write forced parquets in parallel (No perfomance hit for this).

* Initial configuration updates for processing options.

* Dont overwrite input DataFrame when writing parquets.

* Update CHANGELOG.md

* Address review comments.

* Copy YAML objects before revalidation so the can be garbage collected.

* Appease flake8

* Add processing options as optional with defaults.

* filter processing config to parallel association.

* Add a funtion to determine the number of workers and partitions for Dask.

* Use config values for num_workers and max_partition_size throughout pipeline.

* Correct working in config template.

* Update CHANGELOG.md

* Remove unused imports.

* Bump strictyaml to 1.6.2

* Use YAML 'null' to create Python None for all cores option.

* Make None the default in `calculate_workers_and_partitions` instead of 0

* Updated run config docs

* Allow null for num_workers_io and improve validation of processing parameters.

* Update num_workers_io default in docs.

---------

Co-authored-by: Dougal Dobie <[email protected]>
@ddobie ddobie changed the base branch from dev to master November 7, 2024 04:45
@ddobie ddobie marked this pull request as ready for review November 7, 2024 05:13
@ddobie ddobie merged commit a6a8d99 into master Nov 7, 2024
5 of 6 checks passed
@ddobie ddobie deleted the release-v1.2.0 branch November 7, 2024 05:13
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2 participants