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The BAM Data Store utility tools and masterdata models wrapped in a Python package with a front-end web interface.

Project description

BAM Masterdata

CI Status Coverage PyPI versions Python supported versions

The BAM Masterdata repository contains the masterdata schemas defined at BAM and provides utility functions for working with them.

If you want to install it, do:

pip install bam-masterdata

Development

If you want to develop locally this package, clone the project and enter in the workspace folder:

git clone https://github.com/BAMresearch/bam-masterdata.git
cd bam-masterdata

Create a virtual environment (you can use Python>3.9) in your workspace:

python3 -m venv .venv
source .venv/bin/activate

Run the following script depending on your OS:

  • Linux/MacOS:
    ./tools/scripts/install_python_dependencies.sh
    
  • Windows:
    tools/scripts/install_python_dependencies.bat
    

Note: This script installs the required dependencies for development, testing, and documentation, using uv and pip.

Run the tests

You can locally run the tests by doing:

python -m pytest -sv tests

where the -s and -v options toggle the output verbosity.

You can also generate a local coverage report:

python -m pytest --cov=src tests

Run auto-formatting and linting

We use Ruff for formatting and linting the code following the rules specified in the pyproject.toml. You can run locally:

ruff check .

This will produce an output with the specific issues found. In order to auto-fix them, run:

ruff format .

If some issues are not possible to fix automatically, you will need to visit the file and fix them by hand.

Pre-commit hooks (recommended)

We use pre-commit to run fast checks automatically on every commit (formatting, linting, secrets scanning, and a repository-specific policy check).

Install once:

pip install pre-commit
pre-commit install

(Optional) Run on the whole repo:

pre-commit run --all-files

Secrets baseline: the repository uses .secrets.baseline. If you add new secrets intentionally (rare), update the baseline:

detect-secrets scan > .secrets.baseline

Documentation on Github pages

To view the documentation locally, make sure to have installed the extra packages (this is part of the tools/scripts/install_python_dependencies.*, so if you ran this script before, you don't need to do it again now):

uv pip install -e '[docu]'

Note: This command installs mkdocs, mkdocs-material, and other documentation-related dependencies.

The first time, build the server:

mkdocs build

Run the documentation server:

mkdocs serve

The output looks like:

INFO    -  Building documentation...
INFO    -  Cleaning site directory
INFO    -  [14:07:47] Watching paths for changes: 'docs', 'mkdocs.yml'
INFO    -  [14:07:47] Serving on http://127.0.0.1:8000/

Simply click on http://127.0.0.1:8000/. The changes in the md files of the documentation are immediately reflected when the files are saved (the local web will automatically refresh).

Main contributors

The main code developers are:

Name E-mail
Carlos Madariaga carlos.madariaga@bam.de
Lucas Zimmermann lucas.zimmermann@bam.de
Dr. Jose M. Pizarro jose.pizarro-blanco@bam.de

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