Metadata-Version: 2.1
Name: chatnoir-pyterrier
Version: 2.0.4
Summary: Use the ChatNoir search engine in PyTerrier.
Home-page: https://github.com/chatnoir-eu/chatnoir-pyterrier
Author: Jan Heinrich Reimer
Author-email: jan.reimer@student.uni-halle.de
Maintainer: Jan Heinrich Reimer
Project-URL: Bug Tracker, https://github.com/chatnoir-eu/chatnoir-pyterrier/issues
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: test
License-File: LICENSE

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# 🔍 chatnoir-pyterrier

Use the ChatNoir search engine in PyTerrier.

Powered by the [`chatnoir-api`](https://pypi.org/project/chatnoir-api/) package.

## Installation
Install the package from PyPI:

```shell
pip install chatnoir-pyterrier
```

## Usage
You can use the `ChatNoirRetrieve` PyTerrier module in any PyTerrier pipeline, like you would do with `BatchRetrieve`.

```python
from chatnoir_pyterrier import ChatNoirRetrieve

api_key: str = "<API_KEY>"
chatnoir = ChatNoirRetrieve(api_key)
chatnoir.search("python library")
```

Please check out our [sample notebook](examples/search.ipynb) or [open it in Google Colab](https://colab.research.google.com/github/chatnoir-eu/chatnoir-pyterrier/blob/main/examples/search.ipynb).

### Touché 2023
Are you participating in Touché 2023 [task 1](https://touche.webis.de/clef23/touche23-web/argument-retrieval-for-controversial-questions.html) or [task 2](https://touche.webis.de/clef23/touche23-web/evidence-retrieval-for-causal-questions.html)?
We've prepared a [sample notebook](examples/search_touche_2023.ipynb) to show you how to retrieve from the ClueWeb22.
Get started by [opening it in Google Colab](https://colab.research.google.com/github/chatnoir-eu/chatnoir-pyterrier/blob/main/examples/search_touche_2023.ipynb).

## Citation

If you use this package, please cite the [paper](https://webis.de/publications.html#bevendorff_2018)
from the [ChatNoir](https://github.com/chatnoir-eu) authors. 
You can use the following BibTeX information for citation:

```bibtex
@InProceedings{bevendorff:2018,
  address =               {Berlin Heidelberg New York},
  author =                {Janek Bevendorff and Benno Stein and Matthias Hagen and Martin Potthast},
  booktitle =             {Advances in Information Retrieval. 40th European Conference on IR Research (ECIR 2018)},
  editor =                {Leif Azzopardi and Allan Hanbury and Gabriella Pasi and Benjamin Piwowarski},
  ids =                   {potthast:2018c,stein:2018c},
  month =                 mar,
  publisher =             {Springer},
  series =                {Lecture Notes in Computer Science},
  site =                  {Grenoble, France},
  title =                 {{Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl}},
  year =                  2018
}
```

## Development

To build and develop this package you need to install the `build` package:

```shell
pip install build
```

### Installation

Install package dependencies:

```shell
pip install -e .
```

### Testing

Install test dependencies:

```shell
pip install -e .[test]
```

Verify your changes against the test suite to verify.

```shell
flake8 chatnoir_pyterrier examples tests
pylint -E chatnoir_pyterrier examples tests
CHATNOIR_API_KEY="<API_KEY>" CHATNOIR_API_KEY_STAGING="<API_KEY>" pytest chatnoir_pyterrier examples tests
```

Please also add tests for your newly developed code.

### Build wheels

Wheels for this package can be built by:

```shell
python -m build
```

## License

This repository is released under the [MIT license](LICENSE).
