⚠️ The code and data in this repository are currently for testing and development purposes only.
Python API to access files from the SCRC data pipeline.
- Loads files into memory for use in models.
- Ensures that data used in models can be traced to its source.
- Records model outputs such that the versions of code and data are recorded.
See contributing.
This package can be installed from the repository using setup.py
git clone https://github.com/ScottishCovidResponse/data_pipeline_api.git
cd data_pipeline_api
pip install -e .or
pip install git+https://github.com/ScottishCovidResponse/data_pipeline_api.gitYou can install this package via pip with
pip install data-pipeline-apigit clone https://github.com/ScottishCovidResponse/data_pipeline_api.git
cd data_pipeline_api
git tag --sort=v:refnameSee registry README.
New versions can be released from the master branch at any time. Whenever a git tag that points to a commit in master is pushed, that version will be automatically released.
This is an example on how to release the tip of master:
git clone [email protected]:ScottishCovidResponse/data_pipeline_api.git
cd data_pipeline_api
# we are now seeing the HEAD of master
git tag -m"short description of this version" 1.0.0
git push --tagsThat will release the version 1.0.0 of the data pipeline api
ToDo
After activating your conda environment, execute the following command:
pytest --cov=data_pipeline_api tests
ToDo
Automated static analysis results are available - these should be interpreted with caution and the importance of each issue must be assessed individually. The setup is to use pylint with a configuration file. This is the default plus we ignore C0103 (variable names) and C0301 (line lengths). We do not make use of the overall "quality standards" features of codacy at this time as they are pretty arbitrary.