Skip to main content

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 is a repository containing all the masterdata schema defining in BAM, as well as some utility functions to handle the masterdata.

If you want to install it, do:

pip install bam-masterdata

In order to include the CLI functionalities, you have to add the optional [dev] dependencies when pip installing the package:

pip install bam-masterdata[dev]

Development

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

git clone https://git.bam.de/bam-data-store/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:

./scripts/install_python_dependencies

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 . --check

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

Run the local website

Under construction!

Documentation on Github pages

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

uv pip install -e '[docu]'

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 inmediately reflected when the files are saved (the local web will automatically refresh).

Main contributors

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

Project details


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-0.3.1.tar.gz (1.0 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-0.3.1-py3-none-any.whl (582.3 kB view details)

Uploaded Python 3

File details

Details for the file bam_masterdata-0.3.1.tar.gz.

File metadata

  • Download URL: bam_masterdata-0.3.1.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for bam_masterdata-0.3.1.tar.gz
Algorithm Hash digest
SHA256 8a41aafb723cf38f01b9e62dc2dc76e2b2f16916527a8e0920bbec308f6e63c1
MD5 5b58f64a9b4a3ca5fa0006639fd82e5b
BLAKE2b-256 15a472646a5c337f002c3055255187c84cdc7cccdb81670a7a8362470e343f49

See more details on using hashes here.

File details

Details for the file bam_masterdata-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: bam_masterdata-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 582.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for bam_masterdata-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 743aa288735aca28b2a6f447bdf778f854e903ba19d81714103133553e21a51c
MD5 3cfd659e65b731f277a131cbaede50d2
BLAKE2b-256 559a16e84ea6045ce4acc156103b5b4998ca93941df0102059d958943d58df14

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page