Metadata-Version: 2.1
Name: windows-spotlight-extractor
Version: 1.0.0
Summary: CLI Tool for exporting Windows 10 Spotlight Images as Wallpapers
Home-page: https://bitbucket.org/Jonathan_Turnock/windows-10-spotlight-extractor
Author: Jonathan Turnock
Author-email: Jonathan.Turnock@outlook.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: pillow

# Windows 10 Spotlight Extractor

This application will scrape the windows spotlight assets folder for wallpapers.
The folder is located at
```
%LOCALAPPDATA%/Packages/Microsoft.Windows.ContentDeliveryManager_cw5n1h2txyewy/LocalState/Assets
```

Once found the wallpapers will be copied into the Spotlight images directory. By default this is:
```
%USERPROFILE%/OneDrive/Pictures/Spotlight
```

The application will filter only for images larger than 1920 x 1080


## Getting Started

Set the script to run on a schedule or just call using the CLI command ```spotlight```
You should see an output similar to the following
```
[2019-12-26 19:37:40,819] [root] [root] - Copying Windows Spotlight Images Into C:\Users\jonat\OneDrive\Pictures\Spotlight
[2019-12-26 19:37:40,844] [root] [root] - Successfully Copied 3 files
```

Modify the Settings in ```C:\Users\jonat\AppData\Local\w10-spotlight-extractor\settings.ini```

I recommend adding the following to the settings to silence the output under the LOGGING section
CORRECT THE USERNAME FIRST!
```
file = C:\Users\jonat\AppData\Local\w10-spotlight-extractor\app.log
```


### Installing
I Highly recommend using PIPX to install the spotlight extractor to ensure you do not run into issues with other environments and CLI apps installed using PIP   
https://packaging.python.org/guides/installing-stand-alone-command-line-tools/

Install the spotlight extractor with pip into a Python3 Environment.
```
pip3 install windows-spotlight-extractor
```

## Contributing

Contributions are most welcome to the project, please raise issues first and contribute in response to the issue with a pull request.

## Versioning

We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://bitbucket.org/fxquants/fxq-ioc-core/downloads/?tab=tags). 

## Authors

* [Jonathan Turnock](https://bitbucket.org/Jonathan_Turnock/) - *Initial work*

## License

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

