%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 - 0.3.5-1 - Package Spec generated