Metadata-Version: 2.1
Name: SauceNAO
Version: 1.0.1
Summary: Small module to work with SauceNAO locally
Home-page: https://github.com/DaRealFreak/saucenao
Author: DaRealFreak
Author-email: steffen.keuper@web.de
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: bs4 (>=0.0.1)
Requires-Dist: requests (>=2.18.4)
Provides-Extra: titlesearch
Requires-Dist: titlesearch (>=0.0.1); extra == 'titlesearch'

# SauceNAO
[![Build Status](https://travis-ci.org/DaRealFreak/saucenao.svg?branch=master)](https://travis-ci.org/DaRealFreak/saucenao)
[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/DaRealFreak/saucenao/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/DaRealFreak/saucenao/?branch=master)
[![Coverage Status](https://coveralls.io/repos/github/DaRealFreak/saucenao/badge.svg?branch=master)](https://coveralls.io/github/DaRealFreak/saucenao?branch=master)  
unofficial python module to make working with [SauceNAO](https://www.saucenao.com) in projects easier

### Installing
This script runs with [Python 3](https://www.python.org).  
There is a currently working [Python 2 branch](https://github.com/DaRealFreak/saucenao/tree/Python-2.x), but I'm not going to update it anymore.  
Download this repository and run the setup.py to install all necessary dependencies

### Dependencies
Required:
* [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup) - html parser
* [requests](https://github.com/requests/requests) - http library

Optional:
* [Pillow](https://python-pillow.org) - Python Imaging Library, used to generate images for unittests
* [python-dotenv](https://github.com/theskumar/python-dotenv) - .env file loader used for unittests
* [requests-mock](https://pypi.python.org/pypi/requests-mock) - requests mock responses used for unittests

### Usage
You can run SauceNAO either as module:
```
import logging
from saucenao import SauceNao

saucenao = SauceNao(directory='directory', databases=999, minimum_similarity=65, combine_api_types=False, api_key='',
                    exclude_categories='', move_to_categories=False,  use_author_as_category=False,
                    output_type=SauceNao.API_HTML_TYPE, start_file='', log_level=logging.ERROR,
                    title_minimum_similarity=90)
```
or as application:
```
python usage.py --dir [--databases] [--minimum-similarity] [--combine-api-types] [--api-key] [--exclude-categories] [--move-to-categories] [--use-author-as-category] [--output-type] [--start-file] [--log-level] [--filter-creation-date] [--filter-modified-date] [--title-minimum-similarity]
```
you can also use it to get the gathered information for your own script:
```
filtered_results = saucenao.check_file(file_name='test.jpg')
```
or get a generator object for a bulk of files using the worker class, all parameters work here too:
```
from saucenao import Worker

results = Worker(directory='directory', files=('test.jpg', 'test2.jpg')).run()
```

## Running the tests
In the tests folder you can run each unittest individually.  
The test cases should be self-explanatory.

## Development
Want to contribute? Great!  
I'm always glad hearing about bugs or pull requests.

## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Thanks
A big thanks to [SauceNAO](https://www.saucenao.com) who are indexing all the images and compare them.  
This script would be completely useless without them.

