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%global _empty_manifest_terminate_build 0
Name:		python-datasette-export-notebook
Version:	1.0
Release:	1
Summary:	Datasette plugin providing instructions for exporting data to Jupyter or Observable
License:	Apache License, Version 2.0
URL:		https://github.com/simonw/datasette-export-notebook
Source0:	https://mirrors.aliyun.com/pypi/web/packages/44/ab/850197a989af13ae9a458bfb332bee856e633a133a419a3433568d2f6e19/datasette-export-notebook-1.0.tar.gz
BuildArch:	noarch

Requires:	python3-datasette
Requires:	python3-pytest
Requires:	python3-pytest-asyncio
Requires:	python3-sqlite-utils

%description
# datasette-export-notebook

[![PyPI](https://img.shields.io/pypi/v/datasette-export-notebook.svg)](https://pypi.org/project/datasette-export-notebook/)
[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-export-notebook?include_prereleases&label=changelog)](https://github.com/simonw/datasette-export-notebook/releases)
[![Tests](https://github.com/simonw/datasette-export-notebook/workflows/Test/badge.svg)](https://github.com/simonw/datasette-export-notebook/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-export-notebook/blob/main/LICENSE)

Datasette plugin providing instructions for exporting data to a [Jupyter](https://jupyter.org/) or [Observable](https://observablehq.com/) notebook.

## Installation

Install this plugin in the same environment as Datasette.

    $ datasette install datasette-export-notebook

## Usage

Once installed, the plugin will add a `.Notebook` export option to every table and query. Clicking on this link will show instructions for exporting the data to Jupyter or Observable.

## Demo

You can see this plugin in action on the [latest-with-plugins.datasette.io](https://latest-with-plugins.datasette.io/) Datasette instance - for example on [/github/commits.Notebook](https://latest-with-plugins.datasette.io/github/commits.Notebook).

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

    cd datasette-export-notebook
    python3 -mvenv venv
    source venv/bin/activate

Or if you are using `pipenv`:

    pipenv shell

Now install the dependencies and tests:

    pip install -e '.[test]'

To run the tests:

    pytest




%package -n python3-datasette-export-notebook
Summary:	Datasette plugin providing instructions for exporting data to Jupyter or Observable
Provides:	python-datasette-export-notebook
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-datasette-export-notebook
# datasette-export-notebook

[![PyPI](https://img.shields.io/pypi/v/datasette-export-notebook.svg)](https://pypi.org/project/datasette-export-notebook/)
[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-export-notebook?include_prereleases&label=changelog)](https://github.com/simonw/datasette-export-notebook/releases)
[![Tests](https://github.com/simonw/datasette-export-notebook/workflows/Test/badge.svg)](https://github.com/simonw/datasette-export-notebook/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-export-notebook/blob/main/LICENSE)

Datasette plugin providing instructions for exporting data to a [Jupyter](https://jupyter.org/) or [Observable](https://observablehq.com/) notebook.

## Installation

Install this plugin in the same environment as Datasette.

    $ datasette install datasette-export-notebook

## Usage

Once installed, the plugin will add a `.Notebook` export option to every table and query. Clicking on this link will show instructions for exporting the data to Jupyter or Observable.

## Demo

You can see this plugin in action on the [latest-with-plugins.datasette.io](https://latest-with-plugins.datasette.io/) Datasette instance - for example on [/github/commits.Notebook](https://latest-with-plugins.datasette.io/github/commits.Notebook).

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

    cd datasette-export-notebook
    python3 -mvenv venv
    source venv/bin/activate

Or if you are using `pipenv`:

    pipenv shell

Now install the dependencies and tests:

    pip install -e '.[test]'

To run the tests:

    pytest




%package help
Summary:	Development documents and examples for datasette-export-notebook
Provides:	python3-datasette-export-notebook-doc
%description help
# datasette-export-notebook

[![PyPI](https://img.shields.io/pypi/v/datasette-export-notebook.svg)](https://pypi.org/project/datasette-export-notebook/)
[![Changelog](https://img.shields.io/github/v/release/simonw/datasette-export-notebook?include_prereleases&label=changelog)](https://github.com/simonw/datasette-export-notebook/releases)
[![Tests](https://github.com/simonw/datasette-export-notebook/workflows/Test/badge.svg)](https://github.com/simonw/datasette-export-notebook/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-export-notebook/blob/main/LICENSE)

Datasette plugin providing instructions for exporting data to a [Jupyter](https://jupyter.org/) or [Observable](https://observablehq.com/) notebook.

## Installation

Install this plugin in the same environment as Datasette.

    $ datasette install datasette-export-notebook

## Usage

Once installed, the plugin will add a `.Notebook` export option to every table and query. Clicking on this link will show instructions for exporting the data to Jupyter or Observable.

## Demo

You can see this plugin in action on the [latest-with-plugins.datasette.io](https://latest-with-plugins.datasette.io/) Datasette instance - for example on [/github/commits.Notebook](https://latest-with-plugins.datasette.io/github/commits.Notebook).

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

    cd datasette-export-notebook
    python3 -mvenv venv
    source venv/bin/activate

Or if you are using `pipenv`:

    pipenv shell

Now install the dependencies and tests:

    pip install -e '.[test]'

To run the tests:

    pytest




%prep
%autosetup -n datasette-export-notebook-1.0

%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-datasette-export-notebook -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0-1
- Package Spec generated