Hello,

First, you need to set up an integration with  Azure Machine Learning web service in the bpmonline. Please, see the documentation - https://academy.bpmonline.com/documents/administration/7-12/integration…

Then you can call the web service via [Call Web Service] process element in your business process - https://academy.bpmonline.com/documents/technic-bpms/7-12/call-web-serv…

 

Tetiana Markova,

thanks for your reply.

I tried to consume it using as per documentation but have no luck so far.

(1) tried the webservice using Postmand (works)

(2) try using BMOnline with same parameters

2 headers parameters

Key : Authorization

Authorization : Content-Type

1 body parameters

 Json path : $

Data Type : text

is Array : No

Value : <copy from Postman raw body>

but it keep replying response 400

{"error":{"code":"BadArgument","message":"Invalid argument provided.","details":[{"code":"InputMismatchError","target":"input1","message":"Input data does not match input port schema."}]}}

how to fixed this ? am I missing something ?

thanks

Dear Antonius,

I don't see where you call the webservice. Perhaps, you didn't set a value to input1 parameter

Peter Vdovukhin,

Hi Peter,

thank you for your comments.

I called the web service in Business Process 

I'm not sure whether I set the input parameter correctly. the value and format is exactly same from what I used  Postman.

thanks

Hi Antonius,

You should deploy an application on-site, create a web service call and test network via fiddler to see what request is sent to web service. The message you've got means that bpm'online sends a request in a format that differs from that you are expecting. Then you can set up parameters in a such way that will fit to Azure learning standard.

The other option will be creating a script task with calling that webservice from c# code. If you are a developer this is the best way because allows you to do more than built-in web service call.

Peter Vdovukhin,

Hi Peter,

thank you for your comment.

I follow your suggestion by creating a script task.

(1) [in process methods setting menu] add RestSharp name space 

(2) [in script task] construct Json to be put in body parameter:

string json = JsonConvert.SerializeObject(data);

(3) [in script task] use RestClient to call web service and adding the necessary parameters    

var client = new RestClient("https://xxxxx.xx.azureml.net/workspaces/xxxx/services/xxx/execute?api-version=2.0&format=swagger");
	var request = new RestRequest(Method.POST);
	request.AddHeader("Cache-Control", "no-cache");
	request.AddHeader("Content-Type", "application/json");
	request.AddHeader("Authorization", "Bearer FpIlxxxxxxxxxxxx");
	request.AddParameter("undefined",  json , ParameterType.RequestBody);
	IRestResponse response = client.Execute(request);

it works for me.

thanks !