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https://github.com/constructor-io/constructorio-python

Python client for the Constructor.io API
https://github.com/constructor-io/constructorio-python

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Python client for the Constructor.io API

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# Constructor.io Python Client

[![Version](https://img.shields.io/pypi/v/constructor-io.svg)](https://pypi.python.org/pypi/constructor-io)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

A Python client for [Constructor.io](http://constructor.io/). [Constructor.io](http://constructor.io/) provides search as a service that optimizes results using artificial intelligence (including natural language processing, re-ranking to optimize for conversions, and user personalization).

## Documentation
Full API documentation is available on [Github Pages](https://constructor-io.github.io/constructorio-python)

## Requirements

Requesting results from your back-end can be useful in order to control result rendering logic on your server, or augment/hydrate results with data from another system. However, a back-end integration has additional requirements compared to a front-end integration. Please review the [Additional Information For Backend Integrations](https://github.com/Constructor-io/constructorio-python/wiki/Additional-Information-for-Backend-Integrations) article within the wiki for more detail.

## 1. Install

```
pip install constructor-io
```

## 2. Retrieve an API key and token

You can find this in your [Constructor.io dashboard](https://constructor.io/dashboard). Contact sales if you'd like to sign up, or support if you believe your company already has an account.

## 3. Implement the Client

Once imported, an instance of the client can be created as follows:

```python
from constructor_io.constructor_io import ConstructorIO

constructorio = ConstructorIO({
"api_key": "YOUR API KEY",
})
```

## 4. Retrieve Results

After instantiating an instance of the client, four modules will be exposed as properties to help retrieve data from Constructor.io: `search`, `browse`, `autocomplete`, and `recommendations`.

## Development

```bash
make install # install dependencies
pipenv run pylint constructor_io # run lint
pipenv run pytest . # run tests with coverage report
make docs # output documentation to `./docs` directory
```