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%global _empty_manifest_terminate_build 0
Name: python-dsFramework
Version: 0.3.5
Release: 1
Summary: Data science framework library
License: MIT
URL: https://pypi.org/project/dsFramework/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b3/9a/2b2a3c5f7bd91224754a2719355d9908becc17299ff466f26963535fa559/dsFramework-0.3.5.tar.gz
BuildArch: noarch
Requires: python3-dvc[gs,s3]
Requires: python3-click
Requires: python3-pydantic
Requires: python3-tldextract
Requires: python3-uvicorn
Requires: python3-gunicorn
Requires: python3-fastapi
Requires: python3-requests
Requires: python3-Unidecode
Requires: python3-json-logger
Requires: python3-google-api-python-client
Requires: python3-oauth2client
Requires: python3-pandas
Requires: python3-logdecorator
Requires: python3-ujson
Requires: python3-redis
Requires: python3-fastapi-utils
%description
# ds-framework
data science framework
#how to install
pip install dsframework
#how to use
##list of commands:
* dsf-cli - to get all cli options
* dsf-cli generate project my-new-project - to generate new project named my-new-project
## inside generated project folder
(cd my-new-folder)
* dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)
* dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)
* dsf-cli run-server - will run local server with port 8080\
available endpoints depend on project\
http://localhost:8080/parse, http://localhost:8080/predict \
will validate input based on input scheme and execute pipeline\
http://localhost:8080/test \
will run mock test using Data science portal
* dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files,
* if deploy file was deleted by mistake you can recreate it
* if dsframework version was update with updated deploy files you can delete deploy files and recreate them
* dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files
%package -n python3-dsFramework
Summary: Data science framework library
Provides: python-dsFramework
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dsFramework
# ds-framework
data science framework
#how to install
pip install dsframework
#how to use
##list of commands:
* dsf-cli - to get all cli options
* dsf-cli generate project my-new-project - to generate new project named my-new-project
## inside generated project folder
(cd my-new-folder)
* dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)
* dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)
* dsf-cli run-server - will run local server with port 8080\
available endpoints depend on project\
http://localhost:8080/parse, http://localhost:8080/predict \
will validate input based on input scheme and execute pipeline\
http://localhost:8080/test \
will run mock test using Data science portal
* dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files,
* if deploy file was deleted by mistake you can recreate it
* if dsframework version was update with updated deploy files you can delete deploy files and recreate them
* dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files
%package help
Summary: Development documents and examples for dsFramework
Provides: python3-dsFramework-doc
%description help
# ds-framework
data science framework
#how to install
pip install dsframework
#how to use
##list of commands:
* dsf-cli - to get all cli options
* dsf-cli generate project my-new-project - to generate new project named my-new-project
## inside generated project folder
(cd my-new-folder)
* dsf-cli g forcer my-new-forcer - creating new forcer (will be automatically injected to pipeline after last exist forcer)
* dsf-cli g predictable my-new-predictable - creating new predictable (will be automatically injected to pipeline after last exist predictable)
* dsf-cli run-server - will run local server with port 8080\
available endpoints depend on project\
http://localhost:8080/parse, http://localhost:8080/predict \
will validate input based on input scheme and execute pipeline\
http://localhost:8080/test \
will run mock test using Data science portal
* dsf-cli create-deploy-files - deploy files generated automatically when creating new project this is an option to create all non exist deploy files,
* if deploy file was deleted by mistake you can recreate it
* if dsframework version was update with updated deploy files you can delete deploy files and recreate them
* dsf-cli create-cloud-eval-files - cloud eval files this is an option to create all non exist cloud eval files
%prep
%autosetup -n dsFramework-0.3.5
%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-dsFramework -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.5-1
- Package Spec generated
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