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Toolbox of functions and data types helping writing DBnomics fetchers.

Project description


Toolbox of functions and data types helping writing DBnomics fetchers.

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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 >>

# Freeze dependencies

# Synchronize the virtual environment with frozen dependencies

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.





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

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dbnomics-fetcher-toolbox-0.0.9.tar.gz (46.2 kB view hashes)

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