Skip to main content

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 '[dev]'

Note: This command installs the zensical dependency.

The first time, build the server:

zensical build

Run the documentation server:

zensical serve

The output looks like:

Serving .../site on http://localhost:8000
Build started
No issues found

Simply click on http://localhost: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

Download files

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

Source Distribution

bam_masterdata-0.11.6.tar.gz (2.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bam_masterdata-0.11.6-py3-none-any.whl (532.7 kB view details)

Uploaded Python 3

File details

Details for the file bam_masterdata-0.11.6.tar.gz.

File metadata

  • Download URL: bam_masterdata-0.11.6.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for bam_masterdata-0.11.6.tar.gz
Algorithm Hash digest
SHA256 2c87261e7936c82a670676efd986fcd3226d618c4d89810a9de6689ef7a51746
MD5 4a93c5eb15f189eadff0bba0f9a12cbf
BLAKE2b-256 62be32c692d4ec3c4166632a2f0a059f0b3525d0d839b05ff68492398c38ccb4

See more details on using hashes here.

File details

Details for the file bam_masterdata-0.11.6-py3-none-any.whl.

File metadata

  • Download URL: bam_masterdata-0.11.6-py3-none-any.whl
  • Upload date:
  • Size: 532.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for bam_masterdata-0.11.6-py3-none-any.whl
Algorithm Hash digest
SHA256 6dd58f9d1ce2f8afccc1b702b86e1cf354fe1aa6ef843ed806a63713041f9dd5
MD5 900656e0211a2fcaa82e47f2424958da
BLAKE2b-256 3277bf7ed9bf6e721808009ea206fcdf7e2a0cd939839bc83bcdf98648af9249

See more details on using hashes here.

Release history Release notifications | RSS feed

0.13.1

2 files

0.13.0

2 files

0.12.0

2 files

This release

0.11.6 This release

2 files

0.11.5

2 files

0.11.4

2 files

0.11.3

2 files

0.11.1

2 files

0.10.0

2 files

0.9.0

2 files

0.8.6

2 files

0.8.5

2 files

0.8.4

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.0

2 files

0.6.3

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.0

2 files

0.4.3

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.1

2 files

0.3.0

2 files

0.2.0

2 files

0.1.1

2 files

0.1.0

2 files

0.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page