automatic import of python-nanowire-flaskopeneuler20.03

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+/nanowire_flask-0.1.0.tar.gz
diff --git a/python-nanowire-flask.spec b/python-nanowire-flask.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-nanowire-flask
+Version:	0.1.0
+Release:	1
+Summary:	Tool for creating nanowire tools with the flask structure.
+License:	MIT
+URL:		https://github.com/SpotlightData/nanowire_flask
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/16/ee/0f4de903fd7eb9a3407ff248cab912eb391ef08d8e987201a9d8c4234581/nanowire_flask-0.1.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-Pillow
+Requires:	python3-requests
+Requires:	python3-Flask-API
+Requires:	python3-jsonpickle
+Requires:	python3-psutil
+Requires:	python3-pandas
+Requires:	python3-xlrd
+
+%description
+This library is designed to allow a python developer to easily create a nanowire plugin using the flask APIs structure.
+The function you mount for image plugins, using the function ``mount_Image_function``  must have the arguments ``img`` and ``variables`` if you want initialise a model or other variables when the sever starts you may make the function to be mounted into a function of a 
+class which is initiated with the function ``mount_Image_function``. You should expect ``img`` to be a PIL RGB image object and ``variables`` to be a dictionary containing the variables sent to the plugin in the curl request.
+The function for mounting a text based plugin is similar however it is called ``mount_text_function`` and expects the arguments ``text`` (a string) and ``variables``.
+The curl requests for images may be formatted 2 ways. The first involves sending the image as a file attached to the curl request. For example:
+``curl -F "image=@./1.jpg" -XPOST http://0.0.0.0:5000/model/predict?threshold=0.5``
+alternatively the file may be sent as a link using a dictionary eg.
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://127.0.0.1:8000/1.jpg", "threshold":0.5}' http://0.0.0.0:5000/model/predict``
+The currently supported image formats are:
+* jpg
+* png
+* bmp
+* tif
+* ppm
+The curl request for text is similar to that used for images except that it may take either raw text or a file containing raw text. You may either post a document containing the raw text using the command
+``curl -F "doc=@./doc1.txt" -XPOST http://0.0.0.0:5000/model/predict?deactivate_ngrams=True``
+or the raw text can be sent using:
+``curl -X POST -H "Content-Type:application/json" -d '{"text":"Example text about whichever subject you're interested in", "deactivate_ngrams"="True"}' http://0.0.0.0:5000/model/predict``
+The library may also accept CSV objects using command like
+``curl -F "csv=@./example.csv" -XPOST http://0.0.0.0:5000/model/predict?ignore_col=text``
+a xlsx file may be sent in the same way:
+``curl -F "xlsx=@./example.xlsx" -XPOST 'http://0.0.0.0:5000/model/predict?ignore_col=text&customStops=horse,course&indexCol=uuid'``
+alternatively a link to a csv or xlsx file may be sent such as:
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.csv", "ignore_col":"dates"}' http://0.0.0.0:5000/model/predict``
+The library may also accept JSON objects using commands such as
+``curl -X POST -H "Content-Type:application/json" -d '{"inputJSON": {"this":"is", "an":"example"}, "variables":{"customStops":["horse", "course"]}' http://0.0.0.0:5000/model/predict``
+alternatively a JSON file may be sent from a server
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.json"}' http://0.0.0.0:5000/model/predict``
+an old version of this command would accept:
+``curl -X POST -H "Content-Type:application/json" -d '{"this":"is", "an":"example"}' http://0.0.0.0:5000/model/predict``
+however this is deprecated and will no longer be accepted in future versions of this library.
+This library will eventually be expanded to be able to handle video, sound and arbitrary files however for now it is limited to text, images, csv files and json files.
+The API you create will also return maximum memory usage (in MB), maximum cpu usage (in %) and time taken (in seconds) when processing a given API call.
+
+%package -n python3-nanowire-flask
+Summary:	Tool for creating nanowire tools with the flask structure.
+Provides:	python-nanowire-flask
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-nanowire-flask
+This library is designed to allow a python developer to easily create a nanowire plugin using the flask APIs structure.
+The function you mount for image plugins, using the function ``mount_Image_function``  must have the arguments ``img`` and ``variables`` if you want initialise a model or other variables when the sever starts you may make the function to be mounted into a function of a 
+class which is initiated with the function ``mount_Image_function``. You should expect ``img`` to be a PIL RGB image object and ``variables`` to be a dictionary containing the variables sent to the plugin in the curl request.
+The function for mounting a text based plugin is similar however it is called ``mount_text_function`` and expects the arguments ``text`` (a string) and ``variables``.
+The curl requests for images may be formatted 2 ways. The first involves sending the image as a file attached to the curl request. For example:
+``curl -F "image=@./1.jpg" -XPOST http://0.0.0.0:5000/model/predict?threshold=0.5``
+alternatively the file may be sent as a link using a dictionary eg.
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://127.0.0.1:8000/1.jpg", "threshold":0.5}' http://0.0.0.0:5000/model/predict``
+The currently supported image formats are:
+* jpg
+* png
+* bmp
+* tif
+* ppm
+The curl request for text is similar to that used for images except that it may take either raw text or a file containing raw text. You may either post a document containing the raw text using the command
+``curl -F "doc=@./doc1.txt" -XPOST http://0.0.0.0:5000/model/predict?deactivate_ngrams=True``
+or the raw text can be sent using:
+``curl -X POST -H "Content-Type:application/json" -d '{"text":"Example text about whichever subject you're interested in", "deactivate_ngrams"="True"}' http://0.0.0.0:5000/model/predict``
+The library may also accept CSV objects using command like
+``curl -F "csv=@./example.csv" -XPOST http://0.0.0.0:5000/model/predict?ignore_col=text``
+a xlsx file may be sent in the same way:
+``curl -F "xlsx=@./example.xlsx" -XPOST 'http://0.0.0.0:5000/model/predict?ignore_col=text&customStops=horse,course&indexCol=uuid'``
+alternatively a link to a csv or xlsx file may be sent such as:
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.csv", "ignore_col":"dates"}' http://0.0.0.0:5000/model/predict``
+The library may also accept JSON objects using commands such as
+``curl -X POST -H "Content-Type:application/json" -d '{"inputJSON": {"this":"is", "an":"example"}, "variables":{"customStops":["horse", "course"]}' http://0.0.0.0:5000/model/predict``
+alternatively a JSON file may be sent from a server
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.json"}' http://0.0.0.0:5000/model/predict``
+an old version of this command would accept:
+``curl -X POST -H "Content-Type:application/json" -d '{"this":"is", "an":"example"}' http://0.0.0.0:5000/model/predict``
+however this is deprecated and will no longer be accepted in future versions of this library.
+This library will eventually be expanded to be able to handle video, sound and arbitrary files however for now it is limited to text, images, csv files and json files.
+The API you create will also return maximum memory usage (in MB), maximum cpu usage (in %) and time taken (in seconds) when processing a given API call.
+
+%package help
+Summary:	Development documents and examples for nanowire-flask
+Provides:	python3-nanowire-flask-doc
+%description help
+This library is designed to allow a python developer to easily create a nanowire plugin using the flask APIs structure.
+The function you mount for image plugins, using the function ``mount_Image_function``  must have the arguments ``img`` and ``variables`` if you want initialise a model or other variables when the sever starts you may make the function to be mounted into a function of a 
+class which is initiated with the function ``mount_Image_function``. You should expect ``img`` to be a PIL RGB image object and ``variables`` to be a dictionary containing the variables sent to the plugin in the curl request.
+The function for mounting a text based plugin is similar however it is called ``mount_text_function`` and expects the arguments ``text`` (a string) and ``variables``.
+The curl requests for images may be formatted 2 ways. The first involves sending the image as a file attached to the curl request. For example:
+``curl -F "image=@./1.jpg" -XPOST http://0.0.0.0:5000/model/predict?threshold=0.5``
+alternatively the file may be sent as a link using a dictionary eg.
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://127.0.0.1:8000/1.jpg", "threshold":0.5}' http://0.0.0.0:5000/model/predict``
+The currently supported image formats are:
+* jpg
+* png
+* bmp
+* tif
+* ppm
+The curl request for text is similar to that used for images except that it may take either raw text or a file containing raw text. You may either post a document containing the raw text using the command
+``curl -F "doc=@./doc1.txt" -XPOST http://0.0.0.0:5000/model/predict?deactivate_ngrams=True``
+or the raw text can be sent using:
+``curl -X POST -H "Content-Type:application/json" -d '{"text":"Example text about whichever subject you're interested in", "deactivate_ngrams"="True"}' http://0.0.0.0:5000/model/predict``
+The library may also accept CSV objects using command like
+``curl -F "csv=@./example.csv" -XPOST http://0.0.0.0:5000/model/predict?ignore_col=text``
+a xlsx file may be sent in the same way:
+``curl -F "xlsx=@./example.xlsx" -XPOST 'http://0.0.0.0:5000/model/predict?ignore_col=text&customStops=horse,course&indexCol=uuid'``
+alternatively a link to a csv or xlsx file may be sent such as:
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.csv", "ignore_col":"dates"}' http://0.0.0.0:5000/model/predict``
+The library may also accept JSON objects using commands such as
+``curl -X POST -H "Content-Type:application/json" -d '{"inputJSON": {"this":"is", "an":"example"}, "variables":{"customStops":["horse", "course"]}' http://0.0.0.0:5000/model/predict``
+alternatively a JSON file may be sent from a server
+``curl -X POST -H "Content-Type:application/json" -d '{"contentUrl":"http://localhost:8000/example.json"}' http://0.0.0.0:5000/model/predict``
+an old version of this command would accept:
+``curl -X POST -H "Content-Type:application/json" -d '{"this":"is", "an":"example"}' http://0.0.0.0:5000/model/predict``
+however this is deprecated and will no longer be accepted in future versions of this library.
+This library will eventually be expanded to be able to handle video, sound and arbitrary files however for now it is limited to text, images, csv files and json files.
+The API you create will also return maximum memory usage (in MB), maximum cpu usage (in %) and time taken (in seconds) when processing a given API call.
+
+%prep
+%autosetup -n nanowire-flask-0.1.0
+
+%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-nanowire-flask -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..14e9898
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+b891f9ae6ee932bc464279260c987ee0  nanowire_flask-0.1.0.tar.gz