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diff --git a/python-kervi.spec b/python-kervi.spec new file mode 100644 index 0000000..5bcb983 --- /dev/null +++ b/python-kervi.spec @@ -0,0 +1,270 @@ +%global _empty_manifest_terminate_build 0 +Name: python-kervi +Version: 0.21.5 +Release: 1 +Summary: A python framework for creating robotic and automation applications on Raspbery pi (and other platforms). UI is web based and generated on the fly based on configuration in python code. +License: MIT License +URL: https://kervi.org +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2d/ca/226075d2735fe713b0dc613c7a3a2c6b54c6eecf2c5ad1df1af4a4f9f4cf/kervi-0.21.5.tar.gz +BuildArch: noarch + + +%description +# kervi +Easy Python framework for robotic and automation projects. +The framework runs on all platforms that supports Python and have hardware support for Raspberry pi. +Wire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards +and internal application logic. + +Knowledge about web servers, html or web programming is not needed. +UI configuration is done in python code and the framework creates the web ui. + +Features of the framework are: +* Python classes for handling sensors, displays, motors, gpio and other hardware. +* Python classes for handling user interactions from controllers on dashboards. +* Integrated camera handling (Raspberry PI camera at the moment) +* Device driver library for common devices +* Very easy dashboard setup. +* Dashboard UI is responsive and scales from mobile phones to desktop. +* Multi process oriented by spreading over more than one core. +* Multi device oriented by connecting multiple Raspberry Pi's in one large application. +* No web development knowledge is required as dashboard layout is handled in python. + + +[Read the full documentation](https://kervi.org/) + +<img src="https://kervi.github.io/_images/dashboard_browser.png" width="500"> <img src="https://kervi.github.io/_images/dashboard_mobile.png" width="300"> + +<img src="https://kervi.github.io/_images/dashboard_cam.png" width="500"> <img src="https://kervi.github.io/_images/panel_cam.png" width="300"> + + +Install Kervi via pip: + +On Raspberry Pi + +``` +sudo pip3 install kervi[rpi] +``` + +On other systems like windows and linux: +``` +pip3 install kervi +``` + +After Kervi is installed, a commandline tool called *kervi* is available. +Via the commandline interface it is possible scaffold Kervi apps and +setup image and video handling on Raspberry PI. + +Create your first app in an empty folder by executing: +``` +kervi create application myapp "My first app" +``` + +Start your new app by executing: +``` +python myapp.py +``` + +The following output should be displayed: +(example) +``` +Starting kervi application, please wait +load sensors +load controllers +load cameras +init IPC +Your Kervi application is ready at http://192.168.0.120:8080 +``` + +Goto the url specified + +%package -n python3-kervi +Summary: A python framework for creating robotic and automation applications on Raspbery pi (and other platforms). UI is web based and generated on the fly based on configuration in python code. +Provides: python-kervi +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-kervi +# kervi +Easy Python framework for robotic and automation projects. +The framework runs on all platforms that supports Python and have hardware support for Raspberry pi. +Wire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards +and internal application logic. + +Knowledge about web servers, html or web programming is not needed. +UI configuration is done in python code and the framework creates the web ui. + +Features of the framework are: +* Python classes for handling sensors, displays, motors, gpio and other hardware. +* Python classes for handling user interactions from controllers on dashboards. +* Integrated camera handling (Raspberry PI camera at the moment) +* Device driver library for common devices +* Very easy dashboard setup. +* Dashboard UI is responsive and scales from mobile phones to desktop. +* Multi process oriented by spreading over more than one core. +* Multi device oriented by connecting multiple Raspberry Pi's in one large application. +* No web development knowledge is required as dashboard layout is handled in python. + + +[Read the full documentation](https://kervi.org/) + +<img src="https://kervi.github.io/_images/dashboard_browser.png" width="500"> <img src="https://kervi.github.io/_images/dashboard_mobile.png" width="300"> + +<img src="https://kervi.github.io/_images/dashboard_cam.png" width="500"> <img src="https://kervi.github.io/_images/panel_cam.png" width="300"> + + +Install Kervi via pip: + +On Raspberry Pi + +``` +sudo pip3 install kervi[rpi] +``` + +On other systems like windows and linux: +``` +pip3 install kervi +``` + +After Kervi is installed, a commandline tool called *kervi* is available. +Via the commandline interface it is possible scaffold Kervi apps and +setup image and video handling on Raspberry PI. + +Create your first app in an empty folder by executing: +``` +kervi create application myapp "My first app" +``` + +Start your new app by executing: +``` +python myapp.py +``` + +The following output should be displayed: +(example) +``` +Starting kervi application, please wait +load sensors +load controllers +load cameras +init IPC +Your Kervi application is ready at http://192.168.0.120:8080 +``` + +Goto the url specified + +%package help +Summary: Development documents and examples for kervi +Provides: python3-kervi-doc +%description help +# kervi +Easy Python framework for robotic and automation projects. +The framework runs on all platforms that supports Python and have hardware support for Raspberry pi. +Wire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards +and internal application logic. + +Knowledge about web servers, html or web programming is not needed. +UI configuration is done in python code and the framework creates the web ui. + +Features of the framework are: +* Python classes for handling sensors, displays, motors, gpio and other hardware. +* Python classes for handling user interactions from controllers on dashboards. +* Integrated camera handling (Raspberry PI camera at the moment) +* Device driver library for common devices +* Very easy dashboard setup. +* Dashboard UI is responsive and scales from mobile phones to desktop. +* Multi process oriented by spreading over more than one core. +* Multi device oriented by connecting multiple Raspberry Pi's in one large application. +* No web development knowledge is required as dashboard layout is handled in python. + + +[Read the full documentation](https://kervi.org/) + +<img src="https://kervi.github.io/_images/dashboard_browser.png" width="500"> <img src="https://kervi.github.io/_images/dashboard_mobile.png" width="300"> + +<img src="https://kervi.github.io/_images/dashboard_cam.png" width="500"> <img src="https://kervi.github.io/_images/panel_cam.png" width="300"> + + +Install Kervi via pip: + +On Raspberry Pi + +``` +sudo pip3 install kervi[rpi] +``` + +On other systems like windows and linux: +``` +pip3 install kervi +``` + +After Kervi is installed, a commandline tool called *kervi* is available. +Via the commandline interface it is possible scaffold Kervi apps and +setup image and video handling on Raspberry PI. + +Create your first app in an empty folder by executing: +``` +kervi create application myapp "My first app" +``` + +Start your new app by executing: +``` +python myapp.py +``` + +The following output should be displayed: +(example) +``` +Starting kervi application, please wait +load sensors +load controllers +load cameras +init IPC +Your Kervi application is ready at http://192.168.0.120:8080 +``` + +Goto the url specified + +%prep +%autosetup -n kervi-0.21.5 + +%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-kervi -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.21.5-1 +- Package Spec generated |