dbt-graph-builder
Overview
This library provides a set of tools for building a graph of dbt models and their dependencies. It can be used to create an Airflow DAG for dbt models or to create a graph of dbt models and their dependencies in a format that can be used by other tools like GCP Workflows.
Project Organization
- .devcontainer - This directory contains required files for creating a Codespace.
- .github
- workflows - Contains GitHub Actions used for building, testing and publishing.
- prepare-release.yml - Contains steps to prepare a release.
- publish.yml - Publish wheels to https://pypi.org/
- test-linting.yml - Build and Test pull requests before commiting to main.
- template-sync.yml - Update GitHub Repo with enhancments to base template
- workflows - Contains GitHub Actions used for building, testing and publishing.
- 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
- MANIFEST.in - Declares additional files to include in Python whl
- pyproject.toml - Python Project Declaration
- README.md - This file
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Metadata
Release files for dbt-graph-builder 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbt-graph-builder-0.7.0.tar.gz | 13.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dbt_graph_builder-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 kB
Release files / dbt-graph-builder-0.7.0.tar.gz
| Download URL | dbt-graph-builder-0.7.0.tar.gz |
|---|---|
| Size | 13.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.5
|
Release files / dbt_graph_builder-0.7.0-py3-none-any.whl
| Download URL | dbt_graph_builder-0.7.0-py3-none-any.whl |
|---|---|
| Size | 13.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.5
|