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chore: Add cicd pipeline and ci scripts
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Jo Lares
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Jo Lares
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Feb 19, 2024
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name: cicd | ||
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on: [push] | ||
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jobs: | ||
elt: | ||
runs-on: ubuntu-latest | ||
env: | ||
DBT_PROJECT_NAME: 'dbt_demo' | ||
DBT_PROFILES_DIR: '' | ||
steps: | ||
- run: echo "${{ github.actor }} is testing out GitHub Actions 🚀." | ||
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- run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event." | ||
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- run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by GitHub!" | ||
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- run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." | ||
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- name: Check out repository code | ||
uses: actions/checkout@v4 | ||
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- run: echo "💡 The ${{ github.repository }} repository has been cloned to the runner." | ||
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- run: echo "🖥️ The workflow is now ready to test your code on the runner." | ||
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- name: List files in the repository | ||
run: | | ||
ls ${{ github.workspace }} | ||
- run: echo "🍏 This job's status is ${{ job.status }}." | ||
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- run: sh setup.sh | ||
working-directory: ${{ env.DBT_PROJECT_NAME }} | ||
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- run: sh run.sh | ||
working-directory: ${{ env.DBT_PROJECT_NAME }} |
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### Run the elt pipeline using dbt | ||
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dbt run --profiles-dir=$DBT_PROFILES_DIR |
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## | ||
## Validate runner configuration | ||
## | ||
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if [[ -z "${DBT_PROJECT_NAME}" ]]; then | ||
echo "Environment variable DBT_PROJECT_NAME is not set" | ||
exit 1 | ||
fi | ||
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if [[ -z "${DBT_PROFILES_DIR}" ]]; then | ||
# Note: the value used by dbt when --profiles-dir is not is "/Users/<USER>/.dbt" | ||
echo "Environment variable DBT_PROFILES_DIR is not set" | ||
exit 1 | ||
fi | ||
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## | ||
## Install system dependencies | ||
## | ||
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# Upgrade pip | ||
python -m pip install --upgrade pip | ||
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pip --version | ||
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# Install virtualenv | ||
# pip install virtualenv | ||
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# Create a virtual environment | ||
python -m venv .venv | ||
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# Activate virtual environment | ||
source .venv/bin/activate | ||
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## | ||
## Install project dependencies | ||
## | ||
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## Install dbt packages | ||
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# Install the dbt-<warehouse_provider> library using pip | ||
pip install dbt-snowflake | ||
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# Confirm that the dbt installation was successful. | ||
dbt --version | ||
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dbt init $DBT_PROJECT_NAME --profiles-dir=$DBT_PROFILES_DIR | ||
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## | ||
## Setup dbt connection profile to data warehouse | ||
## | ||
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# TODO | ||
# ... | ||
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# Verify dbt connection profile to data warehouse | ||
dbt debug |