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40 lines
1.9 KiB
YAML
40 lines
1.9 KiB
YAML
version: 2.1
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orbs:
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# The python orb contains a set of prepackaged CircleCI configuration you can use repeatedly in your configuration files
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# Orb commands and jobs help you with common scripting around a language/tool
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# so you dont have to copy and paste it everywhere.
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# See the orb documentation here: https://circleci.com/developer/orbs/orb/circleci/python
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python: circleci/python@1.2
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poetry: frameio/poetry@0.21.0
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workflows:
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sample: # This is the name of the workflow, feel free to change it to better match your workflow.
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# Inside the workflow, you define the jobs you want to run.
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# For more details on extending your workflow, see the configuration docs: https://circleci.com/docs/2.0/configuration-reference/#workflows
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jobs:
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- build-and-test
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jobs:
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build-and-test: # This is the name of the job, feel free to change it to better match what you're trying to do!
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# These next lines defines a Docker executors: https://circleci.com/docs/2.0/executor-types/
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# You can specify an image from Dockerhub or use one of the convenience images from CircleCI's Developer Hub
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# A list of available CircleCI Docker convenience images are available here: https://circleci.com/developer/images/image/cimg/python
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# The executor is the environment in which the steps below will be executed - below will use a python 3.9 container
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# Change the version below to your required version of python
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docker:
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- image: cimg/python:3.9
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# Checkout the code as the first step. This is a dedicated CircleCI step.
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# The python orb's install-packages step will install the dependencies from a Pipfile via Pipenv by default.
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# Here we're making sure we use just use the system-wide pip. By default it uses the project root's requirements.txt.
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# Then run your tests!
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# CircleCI will report the results back to your VCS provider.
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steps:
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- checkout
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- poetry/install
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- poetry/shell:
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args: pytest
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