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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.

Documentation Status


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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Files for dbnomics-fetcher-toolbox, version 0.0.9
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