Metadata-Version: 2.1
Name: redisearch
Version: 1.0.0
Summary: RedisSearch Python Client
Home-page: http://github.com/RedisLabs/redisearch-py
Author: RedisLabs
Author-email: oss@redislabs.com
License: UNKNOWN
Keywords: Redis Search Extension
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Testing
Description-Content-Type: text/markdown
License-File: LICENSE

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# RediSearch Python Client
[![Forum](https://img.shields.io/badge/Forum-RediSearch-blue)](https://forum.redislabs.com/c/modules/redisearch/)
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This is a python search engine library that utilizes the [RediSearch Redis Module](http://redisearch.io) API.

It is the "official" client of redisearch, and should be regarded as its canonical client implementation.

## Features

RediSearch is an open-source (AGPL), high performance search engine implemented as a [Redis Module](https://redis.io/topics/modules-intro). 
It uses custom data types to allow fast, stable and feature rich full-text search inside redis.

This client is a wrapper around the RediSearch API protocol, that allows you to utilize its features easily. 

### RediSearch's features include:

* Full-Text indexing of multiple fields in documents.
* Incremental indexing without performance loss.
* Document ranking (provided manually by the user at index time) and field weights.
* Auto-complete suggestions (with fuzzy prefix suggestions)
* Exact Phrase Search
* Stemming based query expansion in [many languages](http://redisearch.io/Stemming/) (using [Snowball](http://snowballstem.org/)).
* Limiting searches to specific document fields (up to 8 fields supported).
* Numeric filters and ranges.
* Automatically index existing HASH keys as documents.

For more details, visit [http://redisearch.io](http://redisearch.io)

## Example: Using the Python Client

```py
from redisearch import Client, TextField

# Creating a client with a given index name
client = Client("myIndex")

# Creating the index definition and schema
client.create_index((TextField("title", weight=5.0), TextField("body")))

# Indexing a document
client.add_document(
    "doc1",
    title="RediSearch",
    body="Redisearch implements a search engine on top of redis",
)

# Simple search
res = client.search("search engine")

# Searching with snippets
res = client.search("search engine", snippet_sizes={"body": 50})

# Searching with complex parameters:
q = Query("search engine").verbatim().no_content().with_scores().paging(0, 5)
res = client.search(q)


# The result has the total number of results, and a list of documents
print(res.total)  # "1"
print(res.docs[0].title)
```

## Installing

1. Install Redis 4.0 or above

2. [Install RediSearch](http://redisearch.io/Quick_Start/#building-and-running)

3. Install the python client

```sh
$ pip install redisearch
```





