MLClient - MarkLogic instance in your hands
ML Client is a python library providing a python API to manage a MarkLogic instance. Furthermore, it includes a Command Line Interface.
Below you can find a few examples of basic usage. Read more in the deep documentation.
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 MLResourceClient:
>>> from mlclient import MLResourceClient
>>> config = {
... "host": "localhost",
... "port": 8002,
... "username": "admin",
... "password": "admin",
... }
>>> with MLResourceClient(**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--
Parsing response:
>>> from mlclient import MLResourceClient, MLResponseParser
>>> config = {
... "host": "localhost",
... "port": 8002,
... "username": "admin",
... "password": "admin",
... }
>>> with MLResourceClient(**config) as client:
... resp = client.eval(xquery="xdmp:database() => xdmp:database-name()")
... parsed_resp = MLResponseParser.parse(resp)
... print(parsed_resp)
...
App-Services
Python API:
User Guide: