automatic import of python-kerviopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/kervi-0.21.5.tar.gz
diff --git a/python-kervi.spec b/python-kervi.spec
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+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..3af48a2
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+3eddf5d3835303c2e22d2be0e3b8a2b8  kervi-0.21.5.tar.gz