%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 ![logo](docs/img/logo.png) # 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 ``` 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 ![logo](docs/img/logo.png) # 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 ``` 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 ![logo](docs/img/logo.png) # 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 ``` 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 - 1.7.4-1 - Package Spec generated