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name: Test template | ||
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on: | ||
workflow_dispatch: | ||
pull_request: | ||
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jobs: | ||
build: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- name: Checkout code | ||
uses: actions/checkout@v3 | ||
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- name: Set up Python | ||
uses: actions/setup-python@v4 | ||
with: | ||
python-version: 3.10 | ||
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- name: Install dependencies | ||
run: | | ||
python -m pip install --upgrade pip | ||
pip install -r ci_requirements.txt | ||
- name: Run Copier | ||
run: | | ||
copier -d setup_dbt_project=True -d setup_dbt_profile=True -d setup_ci_cd=True -d setup_precommit=True | ||
-d setup_airflow_dag=True -d dbt_project_dir="." -d dbt_project_name="balboa" -d is_new_project=True | ||
-d airflow_profile_path="automate/dbt" -d yml_dags_path="orchestrate/dag_yml_definitions" | ||
-d dags_path="orchestrate/dags" -a ci_answers.yml copy [email protected]:datacoves/setup_template.git ./generated/ | ||
# run dbt debug and dbt compile | ||
- name: Run dbt commands | ||
run: | | ||
cd ./generated | ||
dbt debug | ||
dbt compile | ||
# run `dbt-coves generate airflow dags` | ||
- name: Generate dags | ||
run: | | ||
dbt-coves generate airflow-dags --yml-path generated/orchestrate/dag_yml_definitions/sample_dag.yml | ||
--dags-path generated/orchestrate/dags | ||
# fill Airflow DagBag with the result of generated dags | ||
- name: Load dags | ||
run: python test_load_dagbag.py | ||
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# run pre-commit | ||
- name: Run pre-commit | ||
run: | | ||
cd ./generated | ||
pre-commit run --all-files |
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ci_provider: github | ||
dags_path: orchestrate/dags | ||
dbt_adapter: snowflake | ||
use_dbt_checkpoint: true | ||
use_sqlfluff: true | ||
use_yamllint: true | ||
yml_dags_path: orchestrate/dag_yml_definitions |
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# dbt-coves==1.8.0 | ||
git+https://github.com/datacoves/dbt-coves.git@DCV-2515-dbt-coves-setup-datacoves | ||
dbt-core==1.7.17 | ||
dbt-snowflake==1.7.5 | ||
pre-commit==3.7.1 | ||
apache-airflow==2.8.4 |
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from airflow.models import DagBag | ||
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dagbag = DagBag(dag_folder="generated/orchestrate/dags") | ||
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if dagbag.import_errors: | ||
print("The following DAGs present import errors:") | ||
for error in dagbag.import_errors: | ||
print(error) | ||
print("Review the stack above for details") | ||
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assert len(dagbag.import_errors) == 0 |