Hi all,
I use the following pipeline for checking the source code:
# This is a sample build configuration for Python.
# Check our guides at https://confluence.atlassian.com/x/x4UWN for more examples.
# Only use spaces to indent your .yml configuration.
# -----
# You can specify a custom docker image from Docker Hub as your build environment.
image: continuumio/miniconda3:latest
pipelines:
default:
- step:
script: # Modify the commands below to build your repository.
- conda env update -n root --file environment.yml
- pylint module1
- mypy -m module1 --ignore-missing-imports --strict
- coverage run --source=module1 -m unittest discover
- coverage report -m
I want to use the bitbucket caches to make the pipeline faster but i am not sure which directories i should cache.
I already asked the question at the conda user group but did not get an answer.
How can i configure the cache ?
Thanks,
David
image: python:3.6.2
pipelines:
default:
- step:
caches:
- condacache
script:
- /opt/python/bin/conda update -y conda
- /opt/python/bin/pip install --upgrade pip
- /opt/python/bin/pip install -r requirements.txt
- /opt/python/bin/pytest
definitions:
caches:
condacache: /opt/python/bin
#This is how i used to create cache in my pipeline: Please take it as reference.
#This is a custom cache technique. Hope it would help you.
This does not work.
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You can get the location of your package cache from the command: conda info
Add this to one of your steps and inspect the results, then you can define
your cache as in the other answers.
https://docs.anaconda.com/free/anaconda/packages/shared-pkg-cache/
https://support.atlassian.com/bitbucket-cloud/docs/cache-dependencies/
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When using the `continuumio/miniconda3` image in your pipeline, I have found that defining a `conda` cache as `/opt/conda/pkgs` worked. After the first run of the pipeline, in subsequent runs of the pipeline the command `conda env update` should not longer print "Downloading and Extracting Packages"
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This does not work for me.
image: continuumio/miniconda3:latest
pipelines:
default:
- step:
caches:
- conda
- codatarballs
script:
- conda env update -n test_env --file environment.yml
definitions:
caches:
conda: ~/.conda/envs/test_env
codatarballs: /opt/conda/pkgs
The output I get is:
Assembling contents of new cache 'conda'
Assembling contents of new cache 'codatarballs'
but then on the next run:
Cache "conda": Downloading
Cache "conda": Not found
Cache "codatarballs": Downloading
Cache "codatarballs": Not found
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I don't know why it doesn't download the cache in the next run, it does for me, and I have the same output at the end of the first run:
Assembling contents of new cache 'conda'
One thing you can check is in the main pipelines screen of the repository, there should be a button on the top right named "Caches". If I click that I see:
conda: opt/conda/pkgs 350.31 MB 29 May 2020
Hope this helps!
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I've open an ticket 'cos it makes no sense. maybe they have some more logs
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