In this post, you will see the integration between ODA (Oracle Digital Assistant) and OAC(Oracle Analytics Cloud) dashboard.
Creating OAC dashboard:
- For the integration, we created a sample OAC dashboard as shown in the below screenshot
- Soap services are exposed for the dashboard
Changes required to the ODA custom component:
- Add the "soap" module to the ODA custom code node project
- In the component javascript file, uses the below program code. Where,
- createClient() is the method to create a connection to the soap WSDL which expects WSDL URL
- Once the client is created, then you can use the methods in the Webservice
- For example, logon() is a method that takes the user credentials as input arguments and returns a unique session d which can be used in the further requests
- Also in the below example, another method executeXMLQuery() is used which also part of the WSDL which expects an XML as input.
var soap = require('soap'); var url = 'https://XXXX-XXXXXXXX-ld.analytics.ocp.oraclecloud.com/analytics-ws/saw.dll/wsdl/v12'; var args = { name: 'username@oracle.com', password: "password" };
soap.createClient(url, function (err, client) { client.logon(args, function (err, result) { var sid = result.sessionID.$value; console.log(sid); rPath = "/shared/COVID19NL/Covid19NL"; var xmlQueryArgs = { report: { reportPath: rPath }, outputFormat: "", executionOptions: { async: '', maxRowsPerPage: '', refresh: '', presentationInfo: '', type: '' }, sessionID: sid, reportParams:{variables:[{"name":"varCity","value":"Amsterdam"}, {"name":"varMonth","value":"Apr"}]} }; var xmlResult = ""; var transition = "success"; var filteredRows = []; client.executeXMLQuery(xmlQueryArgs, function (err, result) { if (err) { transition = "fail"; console.log(err.body); conversation.reply(err).transition(transition); done(); return; } xmlResult = result.return.rowset.$value; var convert = require('xml-js'); var options = { compact: true, ignoreComment: true, spaces: 4 }; var resp = convert.xml2json(xmlResult, options); var rows = JSON.parse(resp).rowset.Row;
if (rows && rows.length > 0) { filteredRows = rows; transition = "success"; console.log(filteredRows); } else { transition = "none"; }
conversation.transition(transition); conversation.variable('resultRows', filteredRows); done(); }); });});
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