Configure and enforce conventions for your dbt project.

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dbt-bouncer logo

dbt-bouncer

Configure and enforce conventions for your dbt project.


Documentation

All documentation can be found on dbt-bouncer documentation website.

TLDR

  1. Install dbt-bouncer:

    pip install dbt-bouncer

  2. dbt-bouncer requires a manifest.json file. If not already present, run:

    dbt parse

  3. Create a dbt-bouncer.yml config file:

    manifest_checks:
  - name: check_model_directories
    include: ^models
    permitted_sub_directories:
      - intermediate
      - marts
      - staging
  - name: check_model_names
    include: ^models/staging
    model_name_pattern: ^stg_

  4. Run dbt-bouncer:

    $ dbt-bouncer

[...]
Running checks... |################################| 20/20
Done. SUCCESS=19 WARN=0 ERROR=1
Failed checks:
| Check name               | Severity | Failure message                                                                       |
|--------------------------|----------|---------------------------------------------------------------------------------------|
| check_model_directories: | error    | AssertionError: `model` is located in `utilities`, this is not a valid sub-directory. |

Reporting bugs and contributing code

  • Want to report a bug or request a feature? Let us know and open an issue.
  • Want to help us build dbt-bouncer? Check out the Contributing Guide.

Code of Conduct

Everyone interacting in dbt-bouncer's codebase, issue trackers, chat rooms, and mailing lists is expected to follow the Code of Conduct.

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