%global _empty_manifest_terminate_build 0
Name: python-datasette
Version: 0.64.2
Release: 1
Summary: An open source multi-tool for exploring and publishing data
License: Apache License, Version 2.0
URL: https://datasette.io/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/63/57/255eec3f6e51f8662c758df7c58b8456596a3919369dd543b5445321a8b3/datasette-0.64.2.tar.gz
BuildArch: noarch
Requires: python3-asgiref
Requires: python3-click
Requires: python3-click-default-group-wheel
Requires: python3-Jinja2
Requires: python3-hupper
Requires: python3-httpx
Requires: python3-pint
Requires: python3-pluggy
Requires: python3-uvicorn
Requires: python3-aiofiles
Requires: python3-janus
Requires: python3-asgi-csrf
Requires: python3-PyYAML
Requires: python3-mergedeep
Requires: python3-itsdangerous
Requires: python3-furo
Requires: python3-sphinx-autobuild
Requires: python3-codespell
Requires: python3-blacken-docs
Requires: python3-sphinx-copybutton
Requires: python3-rich
Requires: python3-pytest
Requires: python3-pytest-xdist
Requires: python3-pytest-asyncio
Requires: python3-beautifulsoup4
Requires: python3-black
Requires: python3-blacken-docs
Requires: python3-pytest-timeout
Requires: python3-trustme
Requires: python3-cogapp
%description
[](https://pypi.org/project/datasette/)
[](https://docs.datasette.io/en/stable/changelog.html)
[](https://pypi.org/project/datasette/)
[](https://github.com/simonw/datasette/actions?query=workflow%3ATest)
[](https://docs.datasette.io/en/latest/?badge=latest)
[](https://github.com/simonw/datasette/blob/main/LICENSE)
[](https://hub.docker.com/r/datasetteproject/datasette)
[](https://discord.gg/ktd74dm5mw)
*An open source multi-tool for exploring and publishing data*
Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size and publish that as an interactive, explorable website and accompanying API.
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world.
[Explore a demo](https://global-power-plants.datasettes.com/global-power-plants/global-power-plants), watch [a video about the project](https://simonwillison.net/2021/Feb/7/video/) or try it out by [uploading and publishing your own CSV data](https://docs.datasette.io/en/stable/getting_started.html#try-datasette-without-installing-anything-using-glitch).
* [datasette.io](https://datasette.io/) is the official project website
* Latest [Datasette News](https://datasette.io/news)
* Comprehensive documentation: https://docs.datasette.io/
* Examples: https://datasette.io/examples
* Live demo of current `main` branch: https://latest.datasette.io/
* Questions, feedback or want to talk about the project? Join our [Discord](https://discord.gg/ktd74dm5mw)
Want to stay up-to-date with the project? Subscribe to the [Datasette newsletter](https://datasette.substack.com/) for tips, tricks and news on what's new in the Datasette ecosystem.
## Installation
If you are on a Mac, [Homebrew](https://brew.sh/) is the easiest way to install Datasette:
brew install datasette
You can also install it using `pip` or `pipx`:
pip install datasette
Datasette requires Python 3.7 or higher. We also have [detailed installation instructions](https://docs.datasette.io/en/stable/installation.html) covering other options such as Docker.
## Basic usage
datasette serve path/to/database.db
This will start a web server on port 8001 - visit http://localhost:8001/ to access the web interface.
`serve` is the default subcommand, you can omit it if you like.
Use Chrome on OS X? You can run datasette against your browser history like so:
datasette ~/Library/Application\ Support/Google/Chrome/Default/History --nolock
Now visiting http://localhost:8001/History/downloads will show you a web interface to browse your downloads data:
## metadata.json
If you want to include licensing and source information in the generated datasette website you can do so using a JSON file that looks something like this:
{
"title": "Five Thirty Eight",
"license": "CC Attribution 4.0 License",
"license_url": "http://creativecommons.org/licenses/by/4.0/",
"source": "fivethirtyeight/data on GitHub",
"source_url": "https://github.com/fivethirtyeight/data"
}
Save this in `metadata.json` and run Datasette like so:
datasette serve fivethirtyeight.db -m metadata.json
The license and source information will be displayed on the index page and in the footer. They will also be included in the JSON produced by the API.
## datasette publish
If you have [Heroku](https://heroku.com/) or [Google Cloud Run](https://cloud.google.com/run/) configured, Datasette can deploy one or more SQLite databases to the internet with a single command:
datasette publish heroku database.db
Or:
datasette publish cloudrun database.db
This will create a docker image containing both the datasette application and the specified SQLite database files. It will then deploy that image to Heroku or Cloud Run and give you a URL to access the resulting website and API.
See [Publishing data](https://docs.datasette.io/en/stable/publish.html) in the documentation for more details.
## Datasette Lite
[Datasette Lite](https://lite.datasette.io/) is Datasette packaged using WebAssembly so that it runs entirely in your browser, no Python web application server required. Read more about that in the [Datasette Lite documentation](https://github.com/simonw/datasette-lite/blob/main/README.md).
%package -n python3-datasette
Summary: An open source multi-tool for exploring and publishing data
Provides: python-datasette
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-datasette
[](https://pypi.org/project/datasette/)
[](https://docs.datasette.io/en/stable/changelog.html)
[](https://pypi.org/project/datasette/)
[](https://github.com/simonw/datasette/actions?query=workflow%3ATest)
[](https://docs.datasette.io/en/latest/?badge=latest)
[](https://github.com/simonw/datasette/blob/main/LICENSE)
[](https://hub.docker.com/r/datasetteproject/datasette)
[](https://discord.gg/ktd74dm5mw)
*An open source multi-tool for exploring and publishing data*
Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size and publish that as an interactive, explorable website and accompanying API.
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world.
[Explore a demo](https://global-power-plants.datasettes.com/global-power-plants/global-power-plants), watch [a video about the project](https://simonwillison.net/2021/Feb/7/video/) or try it out by [uploading and publishing your own CSV data](https://docs.datasette.io/en/stable/getting_started.html#try-datasette-without-installing-anything-using-glitch).
* [datasette.io](https://datasette.io/) is the official project website
* Latest [Datasette News](https://datasette.io/news)
* Comprehensive documentation: https://docs.datasette.io/
* Examples: https://datasette.io/examples
* Live demo of current `main` branch: https://latest.datasette.io/
* Questions, feedback or want to talk about the project? Join our [Discord](https://discord.gg/ktd74dm5mw)
Want to stay up-to-date with the project? Subscribe to the [Datasette newsletter](https://datasette.substack.com/) for tips, tricks and news on what's new in the Datasette ecosystem.
## Installation
If you are on a Mac, [Homebrew](https://brew.sh/) is the easiest way to install Datasette:
brew install datasette
You can also install it using `pip` or `pipx`:
pip install datasette
Datasette requires Python 3.7 or higher. We also have [detailed installation instructions](https://docs.datasette.io/en/stable/installation.html) covering other options such as Docker.
## Basic usage
datasette serve path/to/database.db
This will start a web server on port 8001 - visit http://localhost:8001/ to access the web interface.
`serve` is the default subcommand, you can omit it if you like.
Use Chrome on OS X? You can run datasette against your browser history like so:
datasette ~/Library/Application\ Support/Google/Chrome/Default/History --nolock
Now visiting http://localhost:8001/History/downloads will show you a web interface to browse your downloads data:
## metadata.json
If you want to include licensing and source information in the generated datasette website you can do so using a JSON file that looks something like this:
{
"title": "Five Thirty Eight",
"license": "CC Attribution 4.0 License",
"license_url": "http://creativecommons.org/licenses/by/4.0/",
"source": "fivethirtyeight/data on GitHub",
"source_url": "https://github.com/fivethirtyeight/data"
}
Save this in `metadata.json` and run Datasette like so:
datasette serve fivethirtyeight.db -m metadata.json
The license and source information will be displayed on the index page and in the footer. They will also be included in the JSON produced by the API.
## datasette publish
If you have [Heroku](https://heroku.com/) or [Google Cloud Run](https://cloud.google.com/run/) configured, Datasette can deploy one or more SQLite databases to the internet with a single command:
datasette publish heroku database.db
Or:
datasette publish cloudrun database.db
This will create a docker image containing both the datasette application and the specified SQLite database files. It will then deploy that image to Heroku or Cloud Run and give you a URL to access the resulting website and API.
See [Publishing data](https://docs.datasette.io/en/stable/publish.html) in the documentation for more details.
## Datasette Lite
[Datasette Lite](https://lite.datasette.io/) is Datasette packaged using WebAssembly so that it runs entirely in your browser, no Python web application server required. Read more about that in the [Datasette Lite documentation](https://github.com/simonw/datasette-lite/blob/main/README.md).
%package help
Summary: Development documents and examples for datasette
Provides: python3-datasette-doc
%description help
[](https://pypi.org/project/datasette/)
[](https://docs.datasette.io/en/stable/changelog.html)
[](https://pypi.org/project/datasette/)
[](https://github.com/simonw/datasette/actions?query=workflow%3ATest)
[](https://docs.datasette.io/en/latest/?badge=latest)
[](https://github.com/simonw/datasette/blob/main/LICENSE)
[](https://hub.docker.com/r/datasetteproject/datasette)
[](https://discord.gg/ktd74dm5mw)
*An open source multi-tool for exploring and publishing data*
Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size and publish that as an interactive, explorable website and accompanying API.
Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with the world.
[Explore a demo](https://global-power-plants.datasettes.com/global-power-plants/global-power-plants), watch [a video about the project](https://simonwillison.net/2021/Feb/7/video/) or try it out by [uploading and publishing your own CSV data](https://docs.datasette.io/en/stable/getting_started.html#try-datasette-without-installing-anything-using-glitch).
* [datasette.io](https://datasette.io/) is the official project website
* Latest [Datasette News](https://datasette.io/news)
* Comprehensive documentation: https://docs.datasette.io/
* Examples: https://datasette.io/examples
* Live demo of current `main` branch: https://latest.datasette.io/
* Questions, feedback or want to talk about the project? Join our [Discord](https://discord.gg/ktd74dm5mw)
Want to stay up-to-date with the project? Subscribe to the [Datasette newsletter](https://datasette.substack.com/) for tips, tricks and news on what's new in the Datasette ecosystem.
## Installation
If you are on a Mac, [Homebrew](https://brew.sh/) is the easiest way to install Datasette:
brew install datasette
You can also install it using `pip` or `pipx`:
pip install datasette
Datasette requires Python 3.7 or higher. We also have [detailed installation instructions](https://docs.datasette.io/en/stable/installation.html) covering other options such as Docker.
## Basic usage
datasette serve path/to/database.db
This will start a web server on port 8001 - visit http://localhost:8001/ to access the web interface.
`serve` is the default subcommand, you can omit it if you like.
Use Chrome on OS X? You can run datasette against your browser history like so:
datasette ~/Library/Application\ Support/Google/Chrome/Default/History --nolock
Now visiting http://localhost:8001/History/downloads will show you a web interface to browse your downloads data:
## metadata.json
If you want to include licensing and source information in the generated datasette website you can do so using a JSON file that looks something like this:
{
"title": "Five Thirty Eight",
"license": "CC Attribution 4.0 License",
"license_url": "http://creativecommons.org/licenses/by/4.0/",
"source": "fivethirtyeight/data on GitHub",
"source_url": "https://github.com/fivethirtyeight/data"
}
Save this in `metadata.json` and run Datasette like so:
datasette serve fivethirtyeight.db -m metadata.json
The license and source information will be displayed on the index page and in the footer. They will also be included in the JSON produced by the API.
## datasette publish
If you have [Heroku](https://heroku.com/) or [Google Cloud Run](https://cloud.google.com/run/) configured, Datasette can deploy one or more SQLite databases to the internet with a single command:
datasette publish heroku database.db
Or:
datasette publish cloudrun database.db
This will create a docker image containing both the datasette application and the specified SQLite database files. It will then deploy that image to Heroku or Cloud Run and give you a URL to access the resulting website and API.
See [Publishing data](https://docs.datasette.io/en/stable/publish.html) in the documentation for more details.
## Datasette Lite
[Datasette Lite](https://lite.datasette.io/) is Datasette packaged using WebAssembly so that it runs entirely in your browser, no Python web application server required. Read more about that in the [Datasette Lite documentation](https://github.com/simonw/datasette-lite/blob/main/README.md).
%prep
%autosetup -n datasette-0.64.2
%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 -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot - 0.64.2-1
- Package Spec generated