%global _empty_manifest_terminate_build 0 Name: python-datacommons Version: 1.4.3 Release: 1 Summary: A library to access Data Commons Python API. License: Apache 2.0 URL: https://github.com/datacommonsorg/api-python Source0: https://mirrors.nju.edu.cn/pypi/web/packages/25/6d/4fc9b08a784a542c3a7b5ecbc7f856ba2fdbe86ea236ffefc11dd976ecda/datacommons-1.4.3.tar.gz BuildArch: noarch Requires: python3-six %description # Data Commons Python API This is a Python library for accessing data in the Data Commons Graph. > See also: [Data Commons Pandas API](datacommons_pandas/README.md). To get started, install this package from pip. pip install datacommons Once the package is installed, import `datacommons`. import datacommons as dc If you would like to provide an API key, follow the steps in [Setting up access to the Data Commons API](https://docs.datacommons.org/api/setup.html), add the following line to your code: dc.set_api_key('YOUR-API-KEY') Data Commons *does not charge* users, but uses the API key for understanding API usage. For more detail on getting started with the API, please visit our [API Overview](http://docs.datacommons.org/api/). When you are ready to use the API, you can refer to `datacommons/examples` for examples on how to use this package to perform various tasks. More tutorials and documentation can be found on our [tutorials page](https://datacommons.org/colab)! ## About Data Commons [Data Commons](https://datacommons.org/) is an open knowledge repository that provides a unified view across multiple public data sets and statistics. You can view what [datasets](https://datacommons.org/datasets) are currently ingested and browse the graph using our [browser](https://browser.datacommons.org/). ## License Apache 2.0 ## Development The Python API currently supports `python>=2.7`. To test, run: ``` $ ./run_tests_local.sh ``` To debug the continuous integration tests, run: ``` $ cloud-build-local --config=cloudbuild.yaml --dryrun=false . ``` Both commands will run the same set of tests. To run the examples: ``` $ python -m datacommons.examples.XXX ``` where XXX is the module you want to run. ## Release Note: Always release `datacommons_pandas` when `datacommons` is released. **If this is your first time releasing to PyPI**, please review the PyPI guide starting from the [setup section](https://packaging.python.org/tutorials/packaging-projects/#creating-setup-py). ### Release to Test PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Append "-USERNAME" to the package "NAME". For example, `NAME = 'foo_package-janedoe123'`. - Increment the "VERSION" codes to something that has not been used in your test project. This will not affect the production PyPI versioning. 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to TestPyPI: ```bash python3 -m pip install --user --upgrade twine python3 -m twine upload --repository testpypi dist/* ``` ### Release to Production PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Revert the package name to `datacommons` and `datacommons_pandas` - Update and double check "VERSION" 1. Update [CHANGELOG.md](CHANGELOG.md) and [datacommons_pandas/CHANGELOG.md](datacommons_pandas/CHANGELOG.md) 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to PyPI: ```bash python3 -m pip install --user --upgrade twine twine upload dist/* ``` ## Support For general questions or issues about the API, please open an issue on our [issues](https://github.com/google/datacommons/issues) page. For all other questions, please send an email to `support@datacommons.org`. **Note** - This is not an officially supported Google product. %package -n python3-datacommons Summary: A library to access Data Commons Python API. Provides: python-datacommons BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-datacommons # Data Commons Python API This is a Python library for accessing data in the Data Commons Graph. > See also: [Data Commons Pandas API](datacommons_pandas/README.md). To get started, install this package from pip. pip install datacommons Once the package is installed, import `datacommons`. import datacommons as dc If you would like to provide an API key, follow the steps in [Setting up access to the Data Commons API](https://docs.datacommons.org/api/setup.html), add the following line to your code: dc.set_api_key('YOUR-API-KEY') Data Commons *does not charge* users, but uses the API key for understanding API usage. For more detail on getting started with the API, please visit our [API Overview](http://docs.datacommons.org/api/). When you are ready to use the API, you can refer to `datacommons/examples` for examples on how to use this package to perform various tasks. More tutorials and documentation can be found on our [tutorials page](https://datacommons.org/colab)! ## About Data Commons [Data Commons](https://datacommons.org/) is an open knowledge repository that provides a unified view across multiple public data sets and statistics. You can view what [datasets](https://datacommons.org/datasets) are currently ingested and browse the graph using our [browser](https://browser.datacommons.org/). ## License Apache 2.0 ## Development The Python API currently supports `python>=2.7`. To test, run: ``` $ ./run_tests_local.sh ``` To debug the continuous integration tests, run: ``` $ cloud-build-local --config=cloudbuild.yaml --dryrun=false . ``` Both commands will run the same set of tests. To run the examples: ``` $ python -m datacommons.examples.XXX ``` where XXX is the module you want to run. ## Release Note: Always release `datacommons_pandas` when `datacommons` is released. **If this is your first time releasing to PyPI**, please review the PyPI guide starting from the [setup section](https://packaging.python.org/tutorials/packaging-projects/#creating-setup-py). ### Release to Test PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Append "-USERNAME" to the package "NAME". For example, `NAME = 'foo_package-janedoe123'`. - Increment the "VERSION" codes to something that has not been used in your test project. This will not affect the production PyPI versioning. 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to TestPyPI: ```bash python3 -m pip install --user --upgrade twine python3 -m twine upload --repository testpypi dist/* ``` ### Release to Production PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Revert the package name to `datacommons` and `datacommons_pandas` - Update and double check "VERSION" 1. Update [CHANGELOG.md](CHANGELOG.md) and [datacommons_pandas/CHANGELOG.md](datacommons_pandas/CHANGELOG.md) 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to PyPI: ```bash python3 -m pip install --user --upgrade twine twine upload dist/* ``` ## Support For general questions or issues about the API, please open an issue on our [issues](https://github.com/google/datacommons/issues) page. For all other questions, please send an email to `support@datacommons.org`. **Note** - This is not an officially supported Google product. %package help Summary: Development documents and examples for datacommons Provides: python3-datacommons-doc %description help # Data Commons Python API This is a Python library for accessing data in the Data Commons Graph. > See also: [Data Commons Pandas API](datacommons_pandas/README.md). To get started, install this package from pip. pip install datacommons Once the package is installed, import `datacommons`. import datacommons as dc If you would like to provide an API key, follow the steps in [Setting up access to the Data Commons API](https://docs.datacommons.org/api/setup.html), add the following line to your code: dc.set_api_key('YOUR-API-KEY') Data Commons *does not charge* users, but uses the API key for understanding API usage. For more detail on getting started with the API, please visit our [API Overview](http://docs.datacommons.org/api/). When you are ready to use the API, you can refer to `datacommons/examples` for examples on how to use this package to perform various tasks. More tutorials and documentation can be found on our [tutorials page](https://datacommons.org/colab)! ## About Data Commons [Data Commons](https://datacommons.org/) is an open knowledge repository that provides a unified view across multiple public data sets and statistics. You can view what [datasets](https://datacommons.org/datasets) are currently ingested and browse the graph using our [browser](https://browser.datacommons.org/). ## License Apache 2.0 ## Development The Python API currently supports `python>=2.7`. To test, run: ``` $ ./run_tests_local.sh ``` To debug the continuous integration tests, run: ``` $ cloud-build-local --config=cloudbuild.yaml --dryrun=false . ``` Both commands will run the same set of tests. To run the examples: ``` $ python -m datacommons.examples.XXX ``` where XXX is the module you want to run. ## Release Note: Always release `datacommons_pandas` when `datacommons` is released. **If this is your first time releasing to PyPI**, please review the PyPI guide starting from the [setup section](https://packaging.python.org/tutorials/packaging-projects/#creating-setup-py). ### Release to Test PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Append "-USERNAME" to the package "NAME". For example, `NAME = 'foo_package-janedoe123'`. - Increment the "VERSION" codes to something that has not been used in your test project. This will not affect the production PyPI versioning. 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to TestPyPI: ```bash python3 -m pip install --user --upgrade twine python3 -m twine upload --repository testpypi dist/* ``` ### Release to Production PyPI 1. In [setup_datacommons.py](setup_datacommons.py) and [setup_datacommons_pandas.py](setup_datacommons_pandas.py): - Revert the package name to `datacommons` and `datacommons_pandas` - Update and double check "VERSION" 1. Update [CHANGELOG.md](CHANGELOG.md) and [datacommons_pandas/CHANGELOG.md](datacommons_pandas/CHANGELOG.md) 1. Build the dists: ```bash rm dist/* python3 -m pip install --user --upgrade setuptools wheel python3 setup_datacommons.py sdist bdist_wheel python3 setup_datacommons_pandas.py sdist bdist_wheel ``` 1. Release the dists to PyPI: ```bash python3 -m pip install --user --upgrade twine twine upload dist/* ``` ## Support For general questions or issues about the API, please open an issue on our [issues](https://github.com/google/datacommons/issues) page. For all other questions, please send an email to `support@datacommons.org`. **Note** - This is not an officially supported Google product. %prep %autosetup -n datacommons-1.4.3 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-datacommons -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.4.3-1 - Package Spec generated