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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
Install MLClient with pip
pip install mlclient
FAQs
A python client managing your MarkLogic instance
We found that mlclient demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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