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https://github.com/gorse-io/pygorse

Python SDK for gorse recommender system
https://github.com/gorse-io/pygorse

gorse python

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Python SDK for gorse recommender system

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# PyGorse

[![CI](https://github.com/gorse-io/PyGorse/actions/workflows/ci.yml/badge.svg)](https://github.com/gorse-io/PyGorse/actions/workflows/ci.yml)
[![](https://img.shields.io/pypi/v/pygorse)](https://pypi.org/project/PyGorse/)
![](https://img.shields.io/pypi/dm/pygorse)

Python SDK for gorse recommender system.

## Install

- Install from PyPI:

```bash
pip install PyGorse
```

- Install from source:

```bash
git clone https://github.com/gorse-io/PyGorse.git
cd PyGorse
pip install .
```

## Usage

Create a client by the entrypoint and api key.

```python
from gorse import Gorse

client = Gorse('http://127.0.0.1:8087', 'api_key')
client.insert_feedbacks([
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'vuejs:vue', 'Timestamp': '2022-02-24' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'd3:d3', 'Timestamp': '2022-02-25' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'dogfalo:materialize', 'Timestamp': '2022-02-26' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'mozilla:pdf.js', 'Timestamp': '2022-02-27' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'moment:moment', 'Timestamp': '2022-02-28' }
])

client.get_recommend('bob', n=10)
```

The Python SDK implements the async client as well:

```python
from gorse import AsyncGorse

client = AsyncGorse('http://127.0.0.1:8087', 'api_key')
await client.insert_feedbacks([
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'vuejs:vue', 'Timestamp': '2022-02-24' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'd3:d3', 'Timestamp': '2022-02-25' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'dogfalo:materialize', 'Timestamp': '2022-02-26' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'mozilla:pdf.js', 'Timestamp': '2022-02-27' },
{ 'FeedbackType': 'star', 'UserId': 'bob', 'ItemId': 'moment:moment', 'Timestamp': '2022-02-28' }
])

await client.get_recommend('bob', n=10)
```