%global _empty_manifest_terminate_build 0 Name: python-datafluent Version: 0.0.36 Release: 1 Summary: Build a better understanding of your data in PostgreSQL. License: MIT URL: https://github.com/marklit/datafluent_pg Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/06/22c16aaef8e1809cbe7fdccd445cdb6075fc458ea30a5adb0f88e6cc5e4b/datafluent-0.0.36.tar.gz BuildArch: noarch Requires: python3-humanfriendly Requires: python3-Pandas Requires: python3-psycopg2-binary Requires: python3-SQLAlchemy Requires: python3-typer Requires: python3-xlsxwriter %description # Data Fluent for PostgreSQL [![Documentation Status](https://readthedocs.org/projects/datafluent/badge/?version=latest)](http://datafluent.readthedocs.io/en/latest/) [![license](http://img.shields.io/badge/license-MIT-red.svg?style=flat)](http://opensource.org/licenses/MIT) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datafluent.svg)](https://pypi.org/project/datafluent/) Build a better understanding of your data in PostgreSQL. The following shows an example report generated by this tool. It gives the numbers of rows, columns, bytes as well as human-friendly size counts for each table within a given PostgreSQL database. ![The Metrics Report](https://github.com/marklit/datafluent_pg/raw/main/example.png) The following shows the row count for every column that represents a date grouped by year and month. ![The Time Distribution Report](https://github.com/marklit/datafluent_pg/raw/main/example2.png) ## Installation and Usage Please read [this guide](https://tech.marksblogg.com/data-fluent-for-postgresql.html) for installation instructions and example usage. ## Further Help The database URL is passed through to sqlalchemy. Please see their documentation on [Database URLs](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) for more information on their syntax and the drivers supported. If you need to override any parameters in this application, please refer to the help documentation generated by typer: ```bash $ datafluent --help ``` ``` Usage: datafluent [OPTIONS] Options: --url TEXT [default: postgresql://localhost:5432/intel] --output TEXT [default: fluency.xlsx] --install-completion [bash|zsh|fish|powershell|pwsh] Install completion for the specified shell. --show-completion [bash|zsh|fish|powershell|pwsh] Show completion for the specified shell, to copy it or customize the installation. --help Show this message and exit. ``` %package -n python3-datafluent Summary: Build a better understanding of your data in PostgreSQL. Provides: python-datafluent BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-datafluent # Data Fluent for PostgreSQL [![Documentation Status](https://readthedocs.org/projects/datafluent/badge/?version=latest)](http://datafluent.readthedocs.io/en/latest/) [![license](http://img.shields.io/badge/license-MIT-red.svg?style=flat)](http://opensource.org/licenses/MIT) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datafluent.svg)](https://pypi.org/project/datafluent/) Build a better understanding of your data in PostgreSQL. The following shows an example report generated by this tool. It gives the numbers of rows, columns, bytes as well as human-friendly size counts for each table within a given PostgreSQL database. ![The Metrics Report](https://github.com/marklit/datafluent_pg/raw/main/example.png) The following shows the row count for every column that represents a date grouped by year and month. ![The Time Distribution Report](https://github.com/marklit/datafluent_pg/raw/main/example2.png) ## Installation and Usage Please read [this guide](https://tech.marksblogg.com/data-fluent-for-postgresql.html) for installation instructions and example usage. ## Further Help The database URL is passed through to sqlalchemy. Please see their documentation on [Database URLs](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) for more information on their syntax and the drivers supported. If you need to override any parameters in this application, please refer to the help documentation generated by typer: ```bash $ datafluent --help ``` ``` Usage: datafluent [OPTIONS] Options: --url TEXT [default: postgresql://localhost:5432/intel] --output TEXT [default: fluency.xlsx] --install-completion [bash|zsh|fish|powershell|pwsh] Install completion for the specified shell. --show-completion [bash|zsh|fish|powershell|pwsh] Show completion for the specified shell, to copy it or customize the installation. --help Show this message and exit. ``` %package help Summary: Development documents and examples for datafluent Provides: python3-datafluent-doc %description help # Data Fluent for PostgreSQL [![Documentation Status](https://readthedocs.org/projects/datafluent/badge/?version=latest)](http://datafluent.readthedocs.io/en/latest/) [![license](http://img.shields.io/badge/license-MIT-red.svg?style=flat)](http://opensource.org/licenses/MIT) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datafluent.svg)](https://pypi.org/project/datafluent/) Build a better understanding of your data in PostgreSQL. The following shows an example report generated by this tool. It gives the numbers of rows, columns, bytes as well as human-friendly size counts for each table within a given PostgreSQL database. ![The Metrics Report](https://github.com/marklit/datafluent_pg/raw/main/example.png) The following shows the row count for every column that represents a date grouped by year and month. ![The Time Distribution Report](https://github.com/marklit/datafluent_pg/raw/main/example2.png) ## Installation and Usage Please read [this guide](https://tech.marksblogg.com/data-fluent-for-postgresql.html) for installation instructions and example usage. ## Further Help The database URL is passed through to sqlalchemy. Please see their documentation on [Database URLs](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) for more information on their syntax and the drivers supported. If you need to override any parameters in this application, please refer to the help documentation generated by typer: ```bash $ datafluent --help ``` ``` Usage: datafluent [OPTIONS] Options: --url TEXT [default: postgresql://localhost:5432/intel] --output TEXT [default: fluency.xlsx] --install-completion [bash|zsh|fish|powershell|pwsh] Install completion for the specified shell. --show-completion [bash|zsh|fish|powershell|pwsh] Show completion for the specified shell, to copy it or customize the installation. --help Show this message and exit. ``` %prep %autosetup -n datafluent-0.0.36 %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-datafluent -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.0.36-1 - Package Spec generated