%global _empty_manifest_terminate_build 0
Name:		python-auto-labeling-pipeline
Version:	0.1.21
Release:	1
Summary:	Auto labeling pipeline for doccano
License:	MIT
URL:		https://github.com/doccano/auto-labeling-pipeline
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/53/8a/ffa55f6b978c181e7bbee996b1b340a9bf0986c66af59b739f2e0c29a020/auto-labeling-pipeline-0.1.21.tar.gz
BuildArch:	noarch

Requires:	python3-requests
Requires:	python3-boto3
Requires:	python3-pydantic
Requires:	python3-jinja2

%description

# Auto labeling pipeline

Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly.

## Installation

To install auto-labeling-pipeline, simply run:

```bash
pip install auto-labeling-pipeline
```

## How to contribute

You can contribute this project by adding new templates as follows:

1. Add a new request model class to [models.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/models.py).
2. Add a new template(Jinja2 format) to [templates/](https://github.com/doccano/auto-labeling-pipeline/tree/master/auto_labeling_pipeline/templates) directory.
3. Add a new template class to [mappings.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/mappings.py).
4. Add a new option to [menu.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/menu.py).
5. Testing.

## License

[MIT](https://github.com/doccano/auto-labeling-pipeline/blob/master/LICENSE)




%package -n python3-auto-labeling-pipeline
Summary:	Auto labeling pipeline for doccano
Provides:	python-auto-labeling-pipeline
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-auto-labeling-pipeline

# Auto labeling pipeline

Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly.

## Installation

To install auto-labeling-pipeline, simply run:

```bash
pip install auto-labeling-pipeline
```

## How to contribute

You can contribute this project by adding new templates as follows:

1. Add a new request model class to [models.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/models.py).
2. Add a new template(Jinja2 format) to [templates/](https://github.com/doccano/auto-labeling-pipeline/tree/master/auto_labeling_pipeline/templates) directory.
3. Add a new template class to [mappings.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/mappings.py).
4. Add a new option to [menu.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/menu.py).
5. Testing.

## License

[MIT](https://github.com/doccano/auto-labeling-pipeline/blob/master/LICENSE)




%package help
Summary:	Development documents and examples for auto-labeling-pipeline
Provides:	python3-auto-labeling-pipeline-doc
%description help

# Auto labeling pipeline

Auto labeling pipeline helps doccano to annotate a document automatically. This package is intended to be used from the inside of doccano. You shouldn't use this package directly.

## Installation

To install auto-labeling-pipeline, simply run:

```bash
pip install auto-labeling-pipeline
```

## How to contribute

You can contribute this project by adding new templates as follows:

1. Add a new request model class to [models.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/models.py).
2. Add a new template(Jinja2 format) to [templates/](https://github.com/doccano/auto-labeling-pipeline/tree/master/auto_labeling_pipeline/templates) directory.
3. Add a new template class to [mappings.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/mappings.py).
4. Add a new option to [menu.py](https://github.com/doccano/auto-labeling-pipeline/blob/master/auto_labeling_pipeline/menu.py).
5. Testing.

## License

[MIT](https://github.com/doccano/auto-labeling-pipeline/blob/master/LICENSE)




%prep
%autosetup -n auto-labeling-pipeline-0.1.21

%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-auto-labeling-pipeline -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.21-1
- Package Spec generated