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%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 <Python_Bot@openeuler.org> - 0.0.36-1
- Package Spec generated