Link Search Menu Expand Document Documentation Menu

Low-level Python client

Preview

The Lucenia low-level Python client (lucenia-py) provides wrapper methods for the Lucenia REST API so that you can interact with your cluster more naturally in Python. Rather than sending raw HTTP requests to a given URL, you can create an Lucenia client for your cluster and call the client’s built-in functions. For the client’s complete API documentation and additional examples, see the lucenia-py API documentation (COMING SOON)

This getting started guide illustrates how to connect to Lucenia, index documents, and run queries.

Setup

To add the client to your project, install it using pip:

pip install lucenia-py

After installing the client, you can import it like any other module:

from luceniapy import Lucenia

Connecting to Lucenia

To connect to the default Lucenia host, create a client object with SSL enabled if you are using the Security plugin. You can use the default credentials for testing purposes:

host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.

# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = Lucenia(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    http_auth = auth,
    use_ssl = True,
    verify_certs = True,
    ssl_assert_hostname = False,
    ssl_show_warn = False,
    ca_certs = ca_certs_path
)

If you have your own client certificates, specify them in the client_cert_path and client_key_path parameters:

host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.

# Optional client certificates if you don't want to use HTTP basic authentication.
client_cert_path = '/full/path/to/client.pem'
client_key_path = '/full/path/to/client-key.pem'

# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = Lucenia(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    http_auth = auth,
    client_cert = client_cert_path,
    client_key = client_key_path,
    use_ssl = True,
    verify_certs = True,
    ssl_assert_hostname = False,
    ssl_show_warn = False,
    ca_certs = ca_certs_path
)

If you are not using the Security plugin, create a client object with SSL disabled:

host = 'localhost'
port = 9200

# Create the client with SSL/TLS and hostname verification disabled.
client = Lucenia(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    use_ssl = False,
    verify_certs = False,
    ssl_assert_hostname = False,
    ssl_show_warn = False
)

Connecting to Lucenia Service Hosted on AWS

The following example illustrates connecting to Lucenia Service hosted on AWS:

from luceniapy import Lucenia, RequestsHttpConnection, AWSV4SignerAuth
import boto3

host = '' # cluster endpoint, for example: my-test-domain.us-east-1.es.amazonaws.com
region = 'us-west-2'
service = 'es'
credentials = boto3.Session().get_credentials()
auth = AWSV4SignerAuth(credentials, region, service)

client = Lucenia(
    hosts = [{'host': host, 'port': 443}],
    http_auth = auth,
    use_ssl = True,
    verify_certs = True,
    connection_class = RequestsHttpConnection,
    pool_maxsize = 20
)

Creating an index

To create an Lucenia index, use the client.indices.create() method. You can use the following code to construct a JSON object with custom settings:

index_name = 'python-test-index'
index_body = {
  'settings': {
    'index': {
      'number_of_shards': 4
    }
  }
}

response = client.indices.create(index_name, body=index_body)

Indexing a document

You can index a document using the client.index() method:

document = {
  'title': 'Moneyball',
  'director': 'Bennett Miller',
  'year': '2011'
}

response = client.index(
    index = 'python-test-index',
    body = document,
    id = '1',
    refresh = True
)

Performing bulk operations

You can perform several operations at the same time by using the bulk() method of the client. The operations may be of the same type or of different types. Note that the operations must be separated by a \n and the entire string must be a single line:

movies = '{ "index" : { "_index" : "my-dsl-index", "_id" : "2" } } \n { "title" : "Interstellar", "director" : "Christopher Nolan", "year" : "2014"} \n { "create" : { "_index" : "my-dsl-index", "_id" : "3" } } \n { "title" : "Star Trek Beyond", "director" : "Justin Lin", "year" : "2015"} \n { "update" : {"_id" : "3", "_index" : "my-dsl-index" } } \n { "doc" : {"year" : "2016"} }'

client.bulk(movies)

Searching for documents

The easiest way to search for documents is to construct a query string. The following code uses a multi-match query to search for “miller” in the title and director fields. It boosts the documents that have “miller” in the title field:

q = 'miller'
query = {
  'size': 5,
  'query': {
    'multi_match': {
      'query': q,
      'fields': ['title^2', 'director']
    }
  }
}

response = client.search(
    body = query,
    index = 'python-test-index'
)

Deleting a document

You can delete a document using the client.delete() method:

response = client.delete(
    index = 'python-test-index',
    id = '1'
)

Deleting an index

You can delete an index using the client.indices.delete() method:

response = client.indices.delete(
    index = 'python-test-index'
)

Sample program

The following sample program creates a client, adds an index with non-default settings, inserts a document, performs bulk operations, searches for the document, deletes the document, and then deletes the index:

from luceniapy import Lucenia

host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.

# Optional client certificates if you don't want to use HTTP basic authentication.
# client_cert_path = '/full/path/to/client.pem'
# client_key_path = '/full/path/to/client-key.pem'

# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = Lucenia(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    http_auth = auth,
    # client_cert = client_cert_path,
    # client_key = client_key_path,
    use_ssl = True,
    verify_certs = True,
    ssl_assert_hostname = False,
    ssl_show_warn = False,
    ca_certs = ca_certs_path
)

# Create an index with non-default settings.
index_name = 'python-test-index'
index_body = {
  'settings': {
    'index': {
      'number_of_shards': 4
    }
  }
}

response = client.indices.create(index_name, body=index_body)
print('\nCreating index:')
print(response)

# Add a document to the index.
document = {
  'title': 'Moneyball',
  'director': 'Bennett Miller',
  'year': '2011'
}
id = '1'

response = client.index(
    index = index_name,
    body = document,
    id = id,
    refresh = True
)

print('\nAdding document:')
print(response)

# Perform bulk operations

movies = '{ "index" : { "_index" : "my-dsl-index", "_id" : "2" } } \n { "title" : "Interstellar", "director" : "Christopher Nolan", "year" : "2014"} \n { "create" : { "_index" : "my-dsl-index", "_id" : "3" } } \n { "title" : "Star Trek Beyond", "director" : "Justin Lin", "year" : "2015"} \n { "update" : {"_id" : "3", "_index" : "my-dsl-index" } } \n { "doc" : {"year" : "2016"} }'

client.bulk(movies)

# Search for the document.
q = 'miller'
query = {
  'size': 5,
  'query': {
    'multi_match': {
      'query': q,
      'fields': ['title^2', 'director']
    }
  }
}

response = client.search(
    body = query,
    index = index_name
)
print('\nSearch results:')
print(response)

# Delete the document.
response = client.delete(
    index = index_name,
    id = id
)

print('\nDeleting document:')
print(response)

# Delete the index.
response = client.indices.delete(
    index = index_name
)

print('\nDeleting index:')
print(response)

Next steps

  • For Python client API, see the lucenia-py API documentation. (COMING SOON)
  • For Python code samples, see Samples. (COMING SOON)