automatic import of python-dataplate

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+%global _empty_manifest_terminate_build 0
+Name:		python-dataplate
+Version:	1.0.1
+Release:	1
+Summary:	DataPlate Python API - interact with Dataplate webserver
+License:	Apache 2.0
+URL:		https://github.com/Dataplate/dataplate
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/38/d7/459c630400265367a549b28de06f52c848c6aac80b9e222e3d02a46ea844/dataplate-1.0.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-boto3
+Requires:	python3-awswrangler
+Requires:	python3-requests
+Requires:	python3-scrapbook
+
+%description
+## Installation
+pip install dataplate
+## Description
+This client communicates with DataPlate platform servers from within your Data-Science development environment
+For more info: [DataPlate](http://dataplate.io)
+See also our JupyterLab extension: [DataPlate-Lab](https://pypi.org/project/dataplate-lab/)
+## Usage using our open-source
+First:
+Install [DataPlate Portal Web service](./../webapp/README.md) and navigate to "API Documentation" for usage instructions
+**More details:**
+DataPlate() constructor accepts the following parameters:
+env - Environment to retrieve the Data from ('dev' or 'prd').
+access_key - Alternative method for supplying your access key.
+dataplate_ur - Alternative method for supplying DataPlate Portal URI.
+Get the access key from Dataplate Web-service portal (Navigate in Menu to "Private access key"):
+<img src="https://user-images.githubusercontent.com/69418989/102617781-61d61880-4142-11eb-9df1-1695e9d5217d.png" width="50%" height="50%">
+This example shows how to run a query, and return results as Pandas DataFrame object:
+```
+from dataplate.client import DataPlate
+dataplate = DataPlate()
+df = dataplate.query_to_df('''
+SELECT * FROM myTable WHERE `date`='20200218' AND hour=12
+''')
+```
+For more instructions, please refer to the [DataPlate Github](https://github.com/Dataplate)
+
+%package -n python3-dataplate
+Summary:	DataPlate Python API - interact with Dataplate webserver
+Provides:	python-dataplate
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dataplate
+## Installation
+pip install dataplate
+## Description
+This client communicates with DataPlate platform servers from within your Data-Science development environment
+For more info: [DataPlate](http://dataplate.io)
+See also our JupyterLab extension: [DataPlate-Lab](https://pypi.org/project/dataplate-lab/)
+## Usage using our open-source
+First:
+Install [DataPlate Portal Web service](./../webapp/README.md) and navigate to "API Documentation" for usage instructions
+**More details:**
+DataPlate() constructor accepts the following parameters:
+env - Environment to retrieve the Data from ('dev' or 'prd').
+access_key - Alternative method for supplying your access key.
+dataplate_ur - Alternative method for supplying DataPlate Portal URI.
+Get the access key from Dataplate Web-service portal (Navigate in Menu to "Private access key"):
+<img src="https://user-images.githubusercontent.com/69418989/102617781-61d61880-4142-11eb-9df1-1695e9d5217d.png" width="50%" height="50%">
+This example shows how to run a query, and return results as Pandas DataFrame object:
+```
+from dataplate.client import DataPlate
+dataplate = DataPlate()
+df = dataplate.query_to_df('''
+SELECT * FROM myTable WHERE `date`='20200218' AND hour=12
+''')
+```
+For more instructions, please refer to the [DataPlate Github](https://github.com/Dataplate)
+
+%package help
+Summary:	Development documents and examples for dataplate
+Provides:	python3-dataplate-doc
+%description help
+## Installation
+pip install dataplate
+## Description
+This client communicates with DataPlate platform servers from within your Data-Science development environment
+For more info: [DataPlate](http://dataplate.io)
+See also our JupyterLab extension: [DataPlate-Lab](https://pypi.org/project/dataplate-lab/)
+## Usage using our open-source
+First:
+Install [DataPlate Portal Web service](./../webapp/README.md) and navigate to "API Documentation" for usage instructions
+**More details:**
+DataPlate() constructor accepts the following parameters:
+env - Environment to retrieve the Data from ('dev' or 'prd').
+access_key - Alternative method for supplying your access key.
+dataplate_ur - Alternative method for supplying DataPlate Portal URI.
+Get the access key from Dataplate Web-service portal (Navigate in Menu to "Private access key"):
+<img src="https://user-images.githubusercontent.com/69418989/102617781-61d61880-4142-11eb-9df1-1695e9d5217d.png" width="50%" height="50%">
+This example shows how to run a query, and return results as Pandas DataFrame object:
+```
+from dataplate.client import DataPlate
+dataplate = DataPlate()
+df = dataplate.query_to_df('''
+SELECT * FROM myTable WHERE `date`='20200218' AND hour=12
+''')
+```
+For more instructions, please refer to the [DataPlate Github](https://github.com/Dataplate)
+
+%prep
+%autosetup -n dataplate-1.0.1
+
+%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-dataplate -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1-1
+- Package Spec generated