dbnomics-fetcher-toolbox


Namedbnomics-fetcher-toolbox JSON
Version 0.0.9 PyPI version JSON
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home_pagehttps://git.nomics.world/dbnomics/dbnomics-fetcher-toolbox
SummaryToolbox of functions and data types helping writing DBnomics fetchers.
upload_time2020-10-05 08:00:51
maintainer
docs_urlNone
authorDBnomics Team
requires_python
licenseAGPLv3+
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
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            # dbnomics-fetcher-toolbox

Toolbox of functions and data types helping writing DBnomics fetchers.

[![Documentation Status](https://readthedocs.org/projects/dbnomics-fetcher-toolbox/badge/?version=latest)](https://dbnomics-fetcher-toolbox.readthedocs.io/en/latest/?badge=latest)

## 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](https://github.com/jazzband/pip-tools) in a Python [virtual environment](https://docs.python.org/3/library/venv.html).

```bash
# 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](https://python-poetry.org/).

## 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
```



            

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    "description": "# dbnomics-fetcher-toolbox\n\nToolbox of functions and data types helping writing DBnomics fetchers.\n\n[![Documentation Status](https://readthedocs.org/projects/dbnomics-fetcher-toolbox/badge/?version=latest)](https://dbnomics-fetcher-toolbox.readthedocs.io/en/latest/?badge=latest)\n\n## Installation\n\nIf you're using this package, you may be working on a DBnomics fetcher.\nIn that case, just add the `dbnomics-fetcher-toolbox` package to your requirements file.\n\nExample using [pip-tools](https://github.com/jazzband/pip-tools) in a Python [virtual environment](https://docs.python.org/3/library/venv.html).\n\n```bash\n# Create a Python virtual environment\npython -m venv my-fetcher\n\n# Activate the virtual environment\nsource my-fetcher/bin/activate\n\n# Install dependencies management tool\npip install pip-tools\n\n# Declare dependency\necho dbnomics-fetcher-toolbox >> requirements.in\n\n# Freeze dependencies\npip-compile\n\n# Synchronize the virtual environment with frozen dependencies\npip-sync\n```\n\nNote: this workflow is quite complex due to the Python ecosystem which does not define a standard way to manage dependencies.\nYou can use another packaging tool like [poetry](https://python-poetry.org/).\n\n## Documentation\n\nSee https://dbnomics-fetcher-toolbox.readthedocs.io/\n\n## Contributing\n\n### Documentation\n\nTo contribute to the documentation, install:\n\n```\npip install --editable .[doc]\npip install sphinx-autobuild\n```\n\nThen launch:\n\n```\nsphinx-autobuild --watch dbnomics_fetcher_toolbox doc doc/_build/html\n```\n\n\n",
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