ML Client

Read the full documentation at Read the Docs.

ML Client is a python library providing a python API to manage a MarkLogic instance.

Low-level MLClient:

>>> from mlclient import MLClient
>>> config = {
...     "host": "localhost",
...     "port": 8002,
...     "username": "admin",
...     "password": "admin",
... }
>>> with MLClient(**config) as client:
...     resp = client.post(endpoint="/v1/eval",
...                        body={"xquery": "xdmp:database() => xdmp:database-name()"})
...     print(resp.text)
...
--6a5df7d535c71968
Content-Type: text/plain
X-Primitive: string

App-Services
--6a5df7d535c71968--

Medium-level MLResourcesClient:

>>> from mlclient import MLResourcesClient
>>> config = {
...     "host": "localhost",
...     "port": 8002,
...     "username": "admin",
...     "password": "admin",
... }
>>> with MLResourcesClient(**config) as client:
...     resp = client.eval(xquery="xdmp:database() => xdmp:database-name()")
...     print(resp.text)
...
--6a5df7d535c71968
Content-Type: text/plain
X-Primitive: string

App-Services
--6a5df7d535c71968--

Parsed response :

>>> from mlclient import MLResourcesClient, MLResponseParser
>>> config = {
...     "host": "localhost",
...     "port": 8002,
...     "username": "admin",
...     "password": "admin",
... }
>>> with MLResourcesClient(**config) as client:
...     resp = client.eval(xquery="xdmp:database() => xdmp:database-name()")
...     parsed_resp = MLResponseParser.parse(resp)
...     print(parsed_resp)
...
App-Services

Installation

Install MLClient with pip

pip install mlclient