1. REST API for Embedded Python Execution
  2. Tasks
  3. Run Scripts

Run a Python Function on Specified Data

post

/py-scripts/v1/table-apply/{scriptName}

Runs a user-owned Python function on the specified data.

Request

Path Parameters
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Response

200 Response

By default, returns the job result.

201 Response

If asyncFlag=true, returns the location header where the status of the job can be fetched.
Headers

400 Response

Invalid parameters specified, output exceeding size limit or other script execution error.

500 Response

Problem connecting to Broker, executing job or other unexpected error.
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Examples

Example 1

The following example runs the script named my_predict. 

curl -i -X POST --header "Authorization: Bearer ${token}" \
--header 'Content-Type: application/json' --header 'Accept: application/json' \
-d '{"input":"select * from IRIS", "parameters":"{\"oml_input_type\":\"pandas.DataFrame\"}", "parallelFlag":true}' \
"<oml-cloud-service-location-url>/oml/api/py-scripts/v1/table-apply/my_predict"

Response Headers

The response headers are the following:

HTTP/1.1 200 OK
Date: Thu, 20 Aug 2020 20:03:34 GMT
Content-Type: application/json
Transfer-Encoding: chunked
Connection: keep-alive
Cache-Control: no-cache, no-store, private
X-Frame-Options: SAMEORIGIN
X-XSS-Protection: 1;mode=block
Strict-Transport-Security: max-age=31536000; includeSubDomains
X-Content-Type-Options: nosniff
Set-Cookie: JSESSIONID=node01x4wuw6qrwa0k11w0p9tf4g71e344.node0; Path=/oml; Secure; HttpOnly
Expires: Thu, 01 Jan 1970 00:00:00 GMT

Response Body

A portion of the response body in JSON format is the following:

{"result":[
{"Pred_Petal_Width":6.8462408185,"Species":"setosa","Petal_Width":0.2},
{"Pred_Petal_Width":5.2786489228,"Species":"versicolor","Petal_Width":1.1},
{"Pred_Petal_Width":5.0951801182,"Species":"versicolor","Petal_Width":1},
{"Pred_Petal_Width":5.24866547,"Species":"versicolor","Petal_Width":1.2},
{"Pred_Petal_Width":4.8406747345,"Species":"versicolor","Petal_Width":1.3},
{"Pred_Petal_Width":4.9825011263,"Species":"versicolor","Petal_Width":1.3},...]}

Example 2

The following example runs the script named test_seaborn_inp. 

curl -i -k -X POST --header "Authorization: Bearer ${token}" 
--header 'Content-Type: application/json' --header 'Accept: application/json' -d '{"input": "select * from IRIS", "envName": "seaborn", "graphicsFlag": true}' 
"<oml-cloud-service-location-url>/oml/api/py-scripts/v1/table-apply/test_seaborn_inp"

Response Body

The result of the REST endpoint is a JSON representation of the value returned from the Python script, which includes the image and the data. Image bytes are returned in PNG format.

{
  "result": [
    {
      "IMAGE": "iVBORw0KGgoAAAAN......7xR5qN5koAAAAASUVORK5CYII=",
      "DATA": "\"hello world\"",
      "TITLE": "Iris plot",
      "ID": 1
    }
  ]
}
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