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This repository contains files related to Airflow DAGs (Directed Acyclic Graphs, e.g. data processing workflows) used for PA Digital aggregation processes.
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-[Airflow Docker Development Setup](https://github.com/tulibraries/airflow-docker-dev-setup)
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$ pipenv run pytest
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```
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`lint` and `pytest` are run automatically by CircleCI on each pull request.
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`lint` and `pytest` are run automatically by GitHub actions on each pull request.
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You may also test using `airflow-docker-dev-setup/Makefile`
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## Deployment
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QA: CircleCI checks (lints and tests) code and deploys to the QA server when development branches are merged into the `main` branch.
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QA: GitHub action checks (lints and tests) code and deploys to the QA server when development branches are merged into the `main` branch.
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Production: When a development branch is merged into `main` it creates a request_prod_deploy job. To deploy code to the production server, you will need to go to the circleCI User Interface and approve the pending job. See the [CircleCI configuration file](cob_datapipeline/.circleci/config.yml)for details.
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Production: When a development branch is merged into `main` it creates a request_prod_deploy job. To deploy code to the production server, you will need to approve the pending job in the #aggregator channel on Slack. You will see a GitHub action notification that says Deployment review requested, waiting for review. Click on the link and follow the instructions.
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