%global _empty_manifest_terminate_build 0
Name:		python-lucidtech-las
Version:	8.10.0
Release:	1
Summary:	Python SDK for Lucidtech AI Services
License:	Apache 2.0
URL:		https://github.com/LucidtechAI/las-sdk-python
Source0:	https://mirrors.aliyun.com/pypi/web/packages/0f/cf/0c7114472ada169fd158e803ed0c0491c12574d39cb11aca0c5fa7022aef/lucidtech-las-8.10.0.tar.gz
BuildArch:	noarch

Requires:	python3-requests
Requires:	python3-backoff
Requires:	python3-filetype

%description
# Python SDK for Lucidtech AI Services API

![Github Actions build status](https://github.com/LucidtechAI/las-sdk-python/workflows/main/badge.svg)

## Documentation

[Link to docs](https://docs.cradl.ai/python-docs/index.html)

## Installation

```bash
$ pip install lucidtech-las
```

## Usage

Sign up for free [here](https://app.cradl.ai/signup) and download API credentials to use this SDK.
Read more about authenticating to the API [here](https://docs.cradl.ai/overview/authentication)

### Quick start

```python
import json
from las import Client

client = Client()
models = client.list_models()['models'] # List all models available
model_id = models[0]['modelId'] # Get ID of first model in list
document = client.create_document('path/to/document.pdf')
prediction = client.create_prediction(document['documentId'], model_id=model_id)
print(json.dumps(prediction, indent=2))
```

## Contributing

### Prerequisites

```bash
$ pip install -r requirements.txt
$ pip install -r requirements.ci.txt
```

### Run tests

```bash
$ make prism-start
$ python -m pytest
```

### Create docs

```bash
$ tox -e docs .docsout
```


%package -n python3-lucidtech-las
Summary:	Python SDK for Lucidtech AI Services
Provides:	python-lucidtech-las
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-lucidtech-las
# Python SDK for Lucidtech AI Services API

![Github Actions build status](https://github.com/LucidtechAI/las-sdk-python/workflows/main/badge.svg)

## Documentation

[Link to docs](https://docs.cradl.ai/python-docs/index.html)

## Installation

```bash
$ pip install lucidtech-las
```

## Usage

Sign up for free [here](https://app.cradl.ai/signup) and download API credentials to use this SDK.
Read more about authenticating to the API [here](https://docs.cradl.ai/overview/authentication)

### Quick start

```python
import json
from las import Client

client = Client()
models = client.list_models()['models'] # List all models available
model_id = models[0]['modelId'] # Get ID of first model in list
document = client.create_document('path/to/document.pdf')
prediction = client.create_prediction(document['documentId'], model_id=model_id)
print(json.dumps(prediction, indent=2))
```

## Contributing

### Prerequisites

```bash
$ pip install -r requirements.txt
$ pip install -r requirements.ci.txt
```

### Run tests

```bash
$ make prism-start
$ python -m pytest
```

### Create docs

```bash
$ tox -e docs .docsout
```


%package help
Summary:	Development documents and examples for lucidtech-las
Provides:	python3-lucidtech-las-doc
%description help
# Python SDK for Lucidtech AI Services API

![Github Actions build status](https://github.com/LucidtechAI/las-sdk-python/workflows/main/badge.svg)

## Documentation

[Link to docs](https://docs.cradl.ai/python-docs/index.html)

## Installation

```bash
$ pip install lucidtech-las
```

## Usage

Sign up for free [here](https://app.cradl.ai/signup) and download API credentials to use this SDK.
Read more about authenticating to the API [here](https://docs.cradl.ai/overview/authentication)

### Quick start

```python
import json
from las import Client

client = Client()
models = client.list_models()['models'] # List all models available
model_id = models[0]['modelId'] # Get ID of first model in list
document = client.create_document('path/to/document.pdf')
prediction = client.create_prediction(document['documentId'], model_id=model_id)
print(json.dumps(prediction, indent=2))
```

## Contributing

### Prerequisites

```bash
$ pip install -r requirements.txt
$ pip install -r requirements.ci.txt
```

### Run tests

```bash
$ make prism-start
$ python -m pytest
```

### Create docs

```bash
$ tox -e docs .docsout
```


%prep
%autosetup -n lucidtech-las-8.10.0

%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-lucidtech-las -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 8.10.0-1
- Package Spec generated