dbt-workflows-factory 0.2.0

DBT workflows factory for Google Cloud Platform

dbt-workflows-factory

Creates dbt based GCP workflows.

Installation

Use the package manager pip to install dbt-workflows-factory for [dp (data-pipelines-cli)]:

pip install dbt-workflows-factory

How to run

To call from cli, you can

python -m dbt_workflows_factory.cli convert \
    --image-uri my-image-uri \
    --gcs-key-volume-remote-path google-cloud-storage/path/ \
    --gcs-key-volume-mount-path /etc/gcs-key/ \
    --gcs-key-volume-container-mount-path /etc/gcs-key/:/etc/gcs-key/:ro \
    --container-gcp-key-path /etc/gcs-key/path.json \
    --container-gcp-project-id some-project-id \
    --pretty \
    tests/unit/dbt_workflows_factory/test_data/manifest.json > workflow_source.json

Project Organization

• .devcontainer - This directory contains required files for creating a Codespace.
• .github
  • workflows - Contains GitHub Actions used for building, testing and publishing.
    • publish.yml - Publish wheels to https://pypi.org/
    • pull-request.yml - Build and Test pull requests before commiting to main.
    • template-sync.yml - Update GitHub Repo with enhancments to base template
• docs - collect documents (default format .md)
• src - place new source code here
  • python_package - sample package (this can be deleted when creating a new repository)
• tests - contains Python based test cases to validation src code
• .pre-commit-config.yaml - Contains various pre-check fixes for Python
• pyproject.toml - Python Project Declaration

Publish to PyPi from GitHub

In order to publish to PyPi, a repostirory secret must be created, "PYPI_PASSWORD". In order to publish to the Test PyPi, a second secret must be added, "TEST_PYPI_PASSWORD".