Creating a client

The Client class is the primary API to interact with in the MarkLogic Python client. The Client class extends the requests Session class, thus exposing all methods found in both the Session class and the requests API. You can therefore use a Client object in the same manner as you’d use either the Session class or the requests API.

Creating a client
Authentication
- Progress Data Cloud Authentication
SSL

Creating a client

A Client instance can be created either by providing a base URL for all requests along with authentication:

from marklogic import Client
client = Client('http://localhost:8000', digest=('python-user', 'pyth0n'))

Or via separate arguments for each part of a base URL:

from marklogic import Client
client = Client(host='localhost', port='8000', digest=('python-user', 'pyth0n'))

After constructing a Client instance, each of the methods in the requests API for sending an HTTP request can be used without needing to specify the base URL nor the authentication again. For example:

response = client.post('/v1/search')
response = client.get('/v1/documents', params={'uri': '/my-doc.json'})

Because the Client class extends the Session class, it can be used as a context manager:

with Client('http://localhost:8000', digest=('python-user', 'pyth0n')) as client:
    response = client.post('/v1/search')
    response = client.get('/v1/documents', params={'uri': '/my-doc.json'})

Authentication

The Client constructor includes a digest argument as a convenience for using digest authentication:

from marklogic import Client
client = Client('http://localhost:8000', digest=('python-user', 'pyth0n'))

An auth argument is also available for using any authentication strategy that can be configured via the requests auth argument. For example, just like with requests, a tuple can be passed to the auth argument to use basic authentication:

from marklogic import Client
client = Client('http://localhost:8000', auth=('python-user', 'pyth0n'))

Progress Data Cloud Authentication

When connecting to a Progress Data Cloud instance, you will need to set the cloud_api_key and base_path arguments. You only need to specify a host as well, as port 443 and HTTPS will be used by default. For example:

from marklogic import Client
client = Client(host='example.marklogic.cloud', cloud_api_key='some-key-value', base_path='/ml/example/manage')

You may still use a full base URL if you wish:

from marklogic import Client
client = Client('https://example.marklogic.cloud', cloud_api_key='some-key-value', base_path='/ml/example/manage')

Progress Data Cloud uses an access token for authentication; the access token is generated using the API key value. In some scenarios, you may wish to set the token expiration time to a value other than the default used by Progress Data Cloud. To do so, set the cloud_token_duration argument to a number greater than zero that defines the token duration in minutes:

from marklogic import Client
# Sets a token duration of 10 minutes.
client = Client(host='example.marklogic.cloud', cloud_api_key='some-key-value', base_path='/ml/example/manage', 
    cloud_token_duration=10)

SSL

Configuring SSL connections is the same as documented for the requests library. As a convience, the Client constructor includes a verify argument for specifying a client certificate so that it does not need to be configured on the Client instance after it’s been constructed nor on every request:

from marklogic import Client
client = Client('https://localhost:8000', digest=('python-user', 'pyth0n'), verify='/path/to/cert.pem')

When specifying the base URL via separate arguments, the scheme argument can be set for HTTPS connections:

from marklogic import Client
client = Client(host='localhost', port='8000', scheme='https', digest=('python-user', 'pyth0n'), verify=False)

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