Toolbox of functions and data types helping writing DBnomics fetchers.
Project description
dbnomics-fetcher-toolbox
Toolbox of functions and data types helping writing DBnomics fetchers.
Installation
If you're using this package, you may be working on a DBnomics fetcher.
In that case, just add the dbnomics-fetcher-toolbox
package to your requirements file.
Example using pip-tools in a Python virtual environment.
# Create a Python virtual environment
python -m venv my-fetcher
# Activate the virtual environment
source my-fetcher/bin/activate
# Install dependencies management tool
pip install pip-tools
# Declare dependency
echo dbnomics-fetcher-toolbox >> requirements.in
# Freeze dependencies
pip-compile
# Synchronize the virtual environment with frozen dependencies
pip-sync
Note: this workflow is quite complex due to the Python ecosystem which does not define a standard way to manage dependencies. You can use another packaging tool like poetry.
Documentation
See https://dbnomics-fetcher-toolbox.readthedocs.io/
Contributing
Documentation
To contribute to the documentation, install:
pip install --editable .[doc]
pip install sphinx-autobuild
Then launch:
sphinx-autobuild --watch dbnomics_fetcher_toolbox doc doc/_build/html
Project details
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