%global _empty_manifest_terminate_build 0 Name: python-snaql Version: 0.4.2 Release: 1 Summary: Transparant *QL usage without ORM License: MIT URL: https://github.com/semirook/snaql Source0: https://mirrors.nju.edu.cn/pypi/web/packages/cd/fd/614fdb2246adc2f31d4c11810670e30332f34216ca5f5904914e862b9551/snaql-0.4.2.tar.gz BuildArch: noarch Requires: python3-Jinja2 Requires: python3-schema %description # Snaql. Raw \*QL queries in Python without pain [![Build Status](https://travis-ci.org/semirook/snaql.png)](https://travis-ci.org/semirook/snaql) Totally inspired by [Yesql](https://github.com/krisajenkins/yesql) from Clojure world. But implemented in another way. ## What? I totally agree with Yesql's author that SQL is already a mature DSL and great abstaction layer for DB queries building. And we don't need another layer above SQL to work with RDBMS like ORMs or complicated DSLs. Feel free to use all of the SQL's power in your projects without mixing Python code and SQL strings. Solution is very simple and flexible enough to try it in your next project. Also, Snaql doesn't depend on DB clients, can be used in asynchronous handlers (Tornado, for example). It's just a way to organize your queries and a bit of logic to change them by context. Look at examples. Actually, Snaql doesn't care about stuff you want to build. SQL, SPARQL, SphinxQL, CQL etc., you can build any query for any DB or search engine. Freedom. ## Installation As usual, with pip: ```bash $ pip install snaql ``` ## Documentation You always can find the most recent docs with examples on [Snaql GitBook](https://semirook.gitbooks.io/snaql/content/) Simple, without DB clients dependencies (use what you need). Try! Tested in Python 2.7, 3.3, 3.4, 3.5 %package -n python3-snaql Summary: Transparant *QL usage without ORM Provides: python-snaql BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-snaql # Snaql. Raw \*QL queries in Python without pain [![Build Status](https://travis-ci.org/semirook/snaql.png)](https://travis-ci.org/semirook/snaql) Totally inspired by [Yesql](https://github.com/krisajenkins/yesql) from Clojure world. But implemented in another way. ## What? I totally agree with Yesql's author that SQL is already a mature DSL and great abstaction layer for DB queries building. And we don't need another layer above SQL to work with RDBMS like ORMs or complicated DSLs. Feel free to use all of the SQL's power in your projects without mixing Python code and SQL strings. Solution is very simple and flexible enough to try it in your next project. Also, Snaql doesn't depend on DB clients, can be used in asynchronous handlers (Tornado, for example). It's just a way to organize your queries and a bit of logic to change them by context. Look at examples. Actually, Snaql doesn't care about stuff you want to build. SQL, SPARQL, SphinxQL, CQL etc., you can build any query for any DB or search engine. Freedom. ## Installation As usual, with pip: ```bash $ pip install snaql ``` ## Documentation You always can find the most recent docs with examples on [Snaql GitBook](https://semirook.gitbooks.io/snaql/content/) Simple, without DB clients dependencies (use what you need). Try! Tested in Python 2.7, 3.3, 3.4, 3.5 %package help Summary: Development documents and examples for snaql Provides: python3-snaql-doc %description help # Snaql. Raw \*QL queries in Python without pain [![Build Status](https://travis-ci.org/semirook/snaql.png)](https://travis-ci.org/semirook/snaql) Totally inspired by [Yesql](https://github.com/krisajenkins/yesql) from Clojure world. But implemented in another way. ## What? I totally agree with Yesql's author that SQL is already a mature DSL and great abstaction layer for DB queries building. And we don't need another layer above SQL to work with RDBMS like ORMs or complicated DSLs. Feel free to use all of the SQL's power in your projects without mixing Python code and SQL strings. Solution is very simple and flexible enough to try it in your next project. Also, Snaql doesn't depend on DB clients, can be used in asynchronous handlers (Tornado, for example). It's just a way to organize your queries and a bit of logic to change them by context. Look at examples. Actually, Snaql doesn't care about stuff you want to build. SQL, SPARQL, SphinxQL, CQL etc., you can build any query for any DB or search engine. Freedom. ## Installation As usual, with pip: ```bash $ pip install snaql ``` ## Documentation You always can find the most recent docs with examples on [Snaql GitBook](https://semirook.gitbooks.io/snaql/content/) Simple, without DB clients dependencies (use what you need). Try! Tested in Python 2.7, 3.3, 3.4, 3.5 %prep %autosetup -n snaql-0.4.2 %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-snaql -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 0.4.2-1 - Package Spec generated