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|
%global _empty_manifest_terminate_build 0
Name: python-archivy
Version: 1.7.4
Release: 1
Summary: Minimalist knowledge base focused on digital preservation and building your second brain.
License: MIT License
URL: https://github.com/archivy/archivy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2f/5a/796ee572573ebed506ff92646e988cc6abc256c488b6f4f1fd4722d182f4/archivy-1.7.4.tar.gz
BuildArch: noarch
Requires: python3-Flask
Requires: python3-werkzeug
Requires: python3-jinja2
Requires: python3-Flask-WTF
Requires: python3-WTForms
Requires: python3-appdirs
Requires: python3-attrs
Requires: python3-beautifulsoup4
Requires: python3-elasticsearch
Requires: python3-dotenv
Requires: python3-frontmatter
Requires: python3-requests
Requires: python3-tinydb
Requires: python3-validators
Requires: python3-flask-login
Requires: python3-click-plugins
Requires: python3-html2text
Requires: python3-flask-compress
Requires: python3-readability-lxml
%description
# Archivy
Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.
Features:
- If you add bookmarks, their web-pages contents' will be saved to ensure that you will **always** have access to it, following the idea of [digital preservation](https://jeffhuang.com/designed_to_last/). Archivy is also easily integrated with other services and your online accounts.
- Knowledge base organization with bidirectional links between notes, and embedded tags.
- Everything is a file! For ease of access and editing, all the content is stored in extended markdown files with yaml front matter. This format supports footnotes, LaTeX math rendering, syntax highlighting and more.
- Extensible plugin system and API for power users to take control of their knowledge process
- [syncing options](https://github.com/archivy/archivy-git)
- Powerful and advanced search.
- Image upload
[demo video](https://www.uzpg.me/assets/images/archivy.mov)
[Roadmap](https://github.com/archivy/archivy/issues/74#issuecomment-764828063)
Upcoming:
- Annotations
- Multi User System with permission setup.
## Quickstart
Install archivy with `pip install archivy`. Other installations methods are listed [here](https://archivy.github.io/install), including Docker.
Run the `archivy init` command to setup you installation.
Then run this and enter a password to create a new user:
```bash
$ archivy create-admin <username>
```
Finally, execute `archivy run` to serve the app. You can open it at https://localhost:5000 and login with the credentials you entered before.
You can then use archivy to create notes, bookmarks and then organize and store information.
See the [official docs](https://archivy.github.io) for information on other installation methods.
## Community
Archivy is dedicated to building **open and quality knowledge base software** through collaboration and community discussion.
To get news and updates on Archivy and its development, you can [watch the archivy repository](https://github.com/archivy/archivy) or follow [@uzpg_ on Twitter](https://twitter.com/uzpg_).
You can interact with us through the [issue board](https://github.com/archivy/archivy/issues) and the more casual [discord server](https://discord.gg/uQsqyxB).
Note: If you're interested in the applications of AI to knowledge management, we're also working on this with [Espial](https://github.com/Uzay-G/espial).
%package -n python3-archivy
Summary: Minimalist knowledge base focused on digital preservation and building your second brain.
Provides: python-archivy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-archivy
# Archivy
Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.
Features:
- If you add bookmarks, their web-pages contents' will be saved to ensure that you will **always** have access to it, following the idea of [digital preservation](https://jeffhuang.com/designed_to_last/). Archivy is also easily integrated with other services and your online accounts.
- Knowledge base organization with bidirectional links between notes, and embedded tags.
- Everything is a file! For ease of access and editing, all the content is stored in extended markdown files with yaml front matter. This format supports footnotes, LaTeX math rendering, syntax highlighting and more.
- Extensible plugin system and API for power users to take control of their knowledge process
- [syncing options](https://github.com/archivy/archivy-git)
- Powerful and advanced search.
- Image upload
[demo video](https://www.uzpg.me/assets/images/archivy.mov)
[Roadmap](https://github.com/archivy/archivy/issues/74#issuecomment-764828063)
Upcoming:
- Annotations
- Multi User System with permission setup.
## Quickstart
Install archivy with `pip install archivy`. Other installations methods are listed [here](https://archivy.github.io/install), including Docker.
Run the `archivy init` command to setup you installation.
Then run this and enter a password to create a new user:
```bash
$ archivy create-admin <username>
```
Finally, execute `archivy run` to serve the app. You can open it at https://localhost:5000 and login with the credentials you entered before.
You can then use archivy to create notes, bookmarks and then organize and store information.
See the [official docs](https://archivy.github.io) for information on other installation methods.
## Community
Archivy is dedicated to building **open and quality knowledge base software** through collaboration and community discussion.
To get news and updates on Archivy and its development, you can [watch the archivy repository](https://github.com/archivy/archivy) or follow [@uzpg_ on Twitter](https://twitter.com/uzpg_).
You can interact with us through the [issue board](https://github.com/archivy/archivy/issues) and the more casual [discord server](https://discord.gg/uQsqyxB).
Note: If you're interested in the applications of AI to knowledge management, we're also working on this with [Espial](https://github.com/Uzay-G/espial).
%package help
Summary: Development documents and examples for archivy
Provides: python3-archivy-doc
%description help
# Archivy
Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.
Features:
- If you add bookmarks, their web-pages contents' will be saved to ensure that you will **always** have access to it, following the idea of [digital preservation](https://jeffhuang.com/designed_to_last/). Archivy is also easily integrated with other services and your online accounts.
- Knowledge base organization with bidirectional links between notes, and embedded tags.
- Everything is a file! For ease of access and editing, all the content is stored in extended markdown files with yaml front matter. This format supports footnotes, LaTeX math rendering, syntax highlighting and more.
- Extensible plugin system and API for power users to take control of their knowledge process
- [syncing options](https://github.com/archivy/archivy-git)
- Powerful and advanced search.
- Image upload
[demo video](https://www.uzpg.me/assets/images/archivy.mov)
[Roadmap](https://github.com/archivy/archivy/issues/74#issuecomment-764828063)
Upcoming:
- Annotations
- Multi User System with permission setup.
## Quickstart
Install archivy with `pip install archivy`. Other installations methods are listed [here](https://archivy.github.io/install), including Docker.
Run the `archivy init` command to setup you installation.
Then run this and enter a password to create a new user:
```bash
$ archivy create-admin <username>
```
Finally, execute `archivy run` to serve the app. You can open it at https://localhost:5000 and login with the credentials you entered before.
You can then use archivy to create notes, bookmarks and then organize and store information.
See the [official docs](https://archivy.github.io) for information on other installation methods.
## Community
Archivy is dedicated to building **open and quality knowledge base software** through collaboration and community discussion.
To get news and updates on Archivy and its development, you can [watch the archivy repository](https://github.com/archivy/archivy) or follow [@uzpg_ on Twitter](https://twitter.com/uzpg_).
You can interact with us through the [issue board](https://github.com/archivy/archivy/issues) and the more casual [discord server](https://discord.gg/uQsqyxB).
Note: If you're interested in the applications of AI to knowledge management, we're also working on this with [Espial](https://github.com/Uzay-G/espial).
%prep
%autosetup -n archivy-1.7.4
%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-archivy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.4-1
- Package Spec generated
|
