meilisearch 0.11.1

The python client for MeiliSearch API.

MeiliSearch Python

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⚡ Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine MeiliSearch client written in Python

MeiliSearch Python is a client for MeiliSearch written in Python. MeiliSearch is a powerful, fast, open-source, easy to use and deploy search engine. Both searching and indexing are highly customizable. Features such as typo-tolerance, filters, and synonyms are provided out-of-the-box.

Table of Contents

• 🔧 Installation
• 🚀 Getting started
• 🤖 Compatibility with MeiliSearch
• 🎬 Examples
  • Indexes
  • Documents
  • Update status
  • Search
• ⚙️ Development Workflow
  • Install dependencies
  • Tests and Linter
  • Want to debug?
  • Release

🔧 Installation

With pip3 in command line:

$ pip3 install meilisearch

Run MeiliSearch

There are many easy ways to download and run a MeiliSearch instance.

For example, if you use Docker:

$ docker run -it --rm -p 7700:7700 getmeili/meilisearch:latest ./meilisearch --master-key=masterKey

NB: you can also download MeiliSearch from Homebrew or APT.

🚀 Getting started

Add documents

import meilisearch

client = meilisearch.Client('http://127.0.0.1:7700', 'masterKey')
index = client.create_index('books') # If your index does not exist
index = client.get_index('books')    # If you already created your index

documents = [
  { 'book_id': 123,  'title': 'Pride and Prejudice' },
  { 'book_id': 456,  'title': 'Le Petit Prince' },
  { 'book_id': 1,    'title': 'Alice In Wonderland' },
  { 'book_id': 1344, 'title': 'The Hobbit' },
  { 'book_id': 4,    'title': 'Harry Potter and the Half-Blood Prince' },
  { 'book_id': 42,   'title': 'The Hitchhiker\'s Guide to the Galaxy' }
]

index.add_documents(documents) # => { "updateId": 0 }

With the updateId, you can check the status (processed or failed) of your documents addition thanks to this method.

Search in index

# MeiliSearch is typo-tolerant:
index.search('harry pottre')

Output:

{
  "hits" => [{
    "book_id" => 4,
    "title" => "Harry Potter and the Half-Blood Prince"
  }],
  "offset" => 0,
  "limit" => 20,
  "processingTimeMs" => 1,
  "query" => "harry pottre"
}

🤖 Compatibility with MeiliSearch

This package is compatible with the following MeiliSearch versions:

• v0.11.X

🎬 Examples

You can check out the API documentation.

Indexes

Create an index

# Create an index
client.create_index('books')
# Create an index and give the primary-key
client.create_index('books', {'primaryKey': 'book_id'})

List all indexes

client.get_indexes()

Get an index object

index = client.get_index('books')

Documents

Fetch documents

# Get one document
index.get_document(123)
# Get documents by batch
index.get_documents({ 'offset': 10 , 'limit': 20 })

Add documents

index.add_documents([{ 'book_id': 2, 'title': 'Madame Bovary' }])

Response:

{
    "updateId": 1
}

This updateId allows you to track the current update.

Delete documents

# Delete one document
index.delete_document(2)
# Delete several documents
index.delete_documents([1, 42])
# Delete all documents
index.delete_all_documents()

Update status

# Get one update status
# Parameter: the updateId got after an asynchronous request (e.g. documents addition)
index.get_update_status(1)
# Get all updates status
index.get_all_update_status()

Search

Basic search

index.search('prince')

{
    "hits": [
        {
            "book_id": 456,
            "title": "Le Petit Prince"
        },
        {
            "book_id": 4,
            "title": "Harry Potter and the Half-Blood Prince"
        }
    ],
    "offset": 0,
    "limit": 20,
    "processingTimeMs": 13,
    "query": "prince"
}

Custom search

All the supported options are described in this documentation section.

response = index.search('prince', { 'limit': 1 })

{
    "hits": [
        {
            "book_id": 456,
            "title": "Le Petit Prince"
        }
    ],
    "offset": 0,
    "limit": 1,
    "processingTimeMs": 10,
    "query": "prince"
}

⚙️ Development Workflow

If you want to contribute, this section describes the steps to follow.

Thank you for your interest in a MeiliSearch tool! ♥️

Install dependencies

$ pipenv install --dev

Tests and Linter

Each PR should pass the tests and the linter to be accepted.

# Tests
$ docker run -p 7700:7700 getmeili/meilisearch:latest ./meilisearch --master-key=masterKey --no-analytics
$ pipenv run pytest meilisearch
# Linter
$ pipenv run pylint meilisearch

Want to debug?

Import pdb in your file and use it:

import pdb

...
pdb.set_trace() # create a break point
...

More information about pdb.

Release

MeiliSearch tools follow the Semantic Versioning Convention.

You must do a PR modifying the file setup.py with the right version.

version="X.X.X"

Once the changes are merged on master, in your terminal, you must be on the master branch and push a new tag with the right version:

$ git checkout master
$ git pull origin master
$ git tag vX.X.X
$ git push --tag origin master

A GitHub Action will be triggered and push the new package on PyPI.

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MeiliSearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.