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[!CAUTION] This project is in early development stages and is not yet ready for production use. Our priority at the moment is that it works for our use case, so we are not yet focusing on covering all possible use cases.
Documentation: https://dribia.github.io/dbt2pdf
Source Code: https://github.com/dribia/dbt2pdf
This project resides in the Python Package Index (PyPI), so it can easily be installed with pip:
pip install dbt2pdf
The dbt2pdf package provides a command-line interface (CLI) to convert DBT models to PDF files.
To view the avilable commands and full usage documentation, run:
dbt2pdf --help
To view a given command usage documentation, the help flag can be used:
dbt2pdf <command> --help
dbt2pdf generate \
--manifest-path ./manifest.json \
--title "DBT Documentation" \
--add-author john@example.com \
--add-author doe@example.com \
output.pdf
Poetry is the best way to interact with this project, to install it, follow the official Poetry installation guide.
With poetry installed, one can install the project dependencies with:
poetry install
Then, to run the project unit tests:
make test-unit
To run the linters (ruff and mypy):
make lint
To apply all code formatting:
make format
dbt2pdf is distributed under the terms of the
MIT license.
Check the LICENSE file for further details.
FAQs
Generate a PDF document from your DBT project's documentation.
We found that dbt2pdf demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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