Analyzes NoSQL or JSON documents to try to infer a schema or general properties.
If you are a schemate developer there are several helper utilities built into the library that will allow you to manage datasets and models both locally and in the cloud. But first, there are additional dependencies that you must install.
In requirements.txt uncomment the section that says: "# Packaging Dependencies", e.g. your requirements should now have a section that appears similar to:
# Packaging Dependencies
black==25.1.0
build==1.2.2.post1
flake8==7.2.0
packaging==24.2
pip==25.0.1
setuptools==75.3.0
twine==6.1.0
wheel==0.45.1
NOTE: the README might not be up to date with all required dependencies, so make sure you use the latest requirements.txt.
Then install these dependencies and the test dependencies:
$ pip install -r requirements.txt
$ pip install -r tests/requirements.txt
All tests are in the tests folder and are structured identically to the schemate module. All tests can be run with pytest:
$ pytest
We use flake8 for linting as configured in setup.cfg -- note that the .flake8 file is for IDEs only and is not used when running tests. If you want to use black to automatically format your files:
$ black path/to/file.py
To release the schemate library and deploy to PyPI run the following commands:
$ python -m build
$ twine upload dist/*