Skip to main content

Utilities for running dbt automations

Project description

dbt-toolkit

PyPI version Tests Code checks codecov Apache License 2.0

A collection of utilities and tools for teams and organizations using dbt.

This project is in an ALPHA stage. Internal and external APIs might change between minor versions.

Please reach out if you try this at your own organization. Feedback is very appreciated, and we would love to hear if you had any issues setting this up at your own.

Automations

Documentation

  • Propagates the documentation of columns that have the same name on downstream models, improving documentation coverage while reducing manual repeated work

More information can be found on the package's README.

dbt Cloud artifacts

  • Retrieve artifacts from a dbt Cloud project. Useful for building reports (such as test and documentation coverage)

More information can be found on the package's README.

Installation

This project requires Python 3.8+. You can install the latest version of this package from PyPI by running the command below.

$ pip install dbt-toolkit

Development

Contributing

We are open and would love to have contributions, both in Pull Requests but also in ideas and feedback. Don't hesitate to create an Issue on this repository if you are trying this project in your organization or have anything to share.

Remember to run make lint, make type and make test before committing.

Run make install-dev to install it locally in editable mode. This is necessary for running the tests.

Architecture

Groups of functionalities are encapsulated together in top-level packages, such as dbt_cloud/ or documentation/. Each package that exposes CLI commands should contain an actions sub-package.

Tests

More information can be found on the tests' README.

Release

There is a GitHub Action that will trigger a release of this package on PyPI based on releases created on GitHub. Steps:

  • Loosely follow semantic versioning
  • Remember to prefix the tag name with v
  • Use the tag name as the release title on GitHub
  • Use the auto-generated release notes from GitHub
  • Append a link at the end of the release notes to the released version on PyPI

License

This project is licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dbt-toolkit-0.1.3.tar.gz (350.7 kB view details)

Uploaded Source

Built Distribution

dbt_toolkit-0.1.3-py3-none-any.whl (23.4 kB view details)

Uploaded Python 3

File details

Details for the file dbt-toolkit-0.1.3.tar.gz.

File metadata

  • Download URL: dbt-toolkit-0.1.3.tar.gz
  • Upload date:
  • Size: 350.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for dbt-toolkit-0.1.3.tar.gz
Algorithm Hash digest
SHA256 9b167f1a11b44ecc03590add6ce2b0ed14d3c688ec2934526f73ea5e20ca2597
MD5 b609c37a6ff02df6afb2b768d23ebc31
BLAKE2b-256 440ab3fad624c0c851f735b651ce9d7806711a87280a7c34e6c93fc096f8fb75

See more details on using hashes here.

File details

Details for the file dbt_toolkit-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: dbt_toolkit-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 23.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for dbt_toolkit-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 481093ee116af17d5cf6adde621599ff9a0ffd954e84673d452d97eda4826048
MD5 297547477aa655dd5b84c7e1d6bad093
BLAKE2b-256 826be5729777b73afed5a5533d1fc013c974d0cf05938e016dc6973312fbe1f1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page