QPR ProcessAnalyzer API: Difference between revisions

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== Examples ==
== Examples ==
Following function written in Python starts a script in QPR ProcessAnalyzer by calling the REST API. The function does following: (1) login to QPR ProcessAnalyzer, (2) start the script, and (3) log out. The call just starts with script without waiting it to complete (asynchronous behavior).
Following function written in Python starts a script in QPR ProcessAnalyzer by calling the REST API. The function does following: (1) login to QPR ProcessAnalyzer, (2) start the script, and (3) log out. The call just starts with script without waiting for it to complete (asynchronous behavior).


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Revision as of 18:42, 14 December 2023

QPR ProcessAnalyzer API can be used to build integrations with other applications and automate operations in the process mining system.

QPR ProcessAnalyzer API is a JSON based API following the REST design principles. All methods (except the token and serverinfo) require a prior login to establish a session. The session is initialized with the token call with username and password, and the access token is returned as a response for a successful login. The methods requiring prior authenticated session, need to have a HTTP request header Authorization with value Bearer <access token> to identify the session.

Url for calling the API has the following form (replace the server hostname with a correct one):

https://customer.onqpr.com/qprpa/api/<methodName>

Following methods are available:

Method Description
token Login user using username and password and get a session token as a response.
api/signout Logs out a user session.
api/expression Runs an expression.
api/expression/query Runs query written using the expression language and returns result data as response.
api/filters Get filters for all models or filters for a single model.
api/serverinfo Returns common system information needed by UI, such as the default UI language and in whether SSO has been configured.
api/importfile Import data into datatable from .csv, .xes or .pacm file.
api/usersettings Save user specific settings to the server.
api/operations/terminate Stops the defined tasks (by the task id) to save computing resources.
api/analysis/cancel Stops currently running tasks (by the task identifier) to save computing resources.
api/saml2/acs Identity provider (IdP) will send the SAML 2.0 assertion to this endpoint, which responses with 302 to redirect to QPR ProcessAnalyzer UI.
api/saml2 Returns the SAML 2.0 service provider (SP) metadata, if SAML 2.0 authentication has been configured.

In addition, there are methods for

Examples

Following function written in Python starts a script in QPR ProcessAnalyzer by calling the REST API. The function does following: (1) login to QPR ProcessAnalyzer, (2) start the script, and (3) log out. The call just starts with script without waiting for it to complete (asynchronous behavior).

def startQprProcessAnalyzerScript(serverUrl: str, username: str, password: str, scriptId: int):
  loginData = {
      "grant_type": "password",
      "username": username,
      "password": password
  }
  loginResponse = requests.post(url = serverUrl + "/token", data = loginData)
  loginResponse.raise_for_status()
  sessionToken = loginResponse.json().get("access_token")
  
  startScriptResponse = requests.post(
    url = serverUrl + "/api/scripts/run/" + str(scriptId),
    headers = {
      "Authorization": "Bearer " + sessionToken,
      "Content-type": "application/json"
    }
  )
  startScriptResponse.raise_for_status()

  logOutResponse = requests.post(
      url = serverUrl + "/api/signout",
       headers = {
         "Authorization": "Bearer " + sessionToken,
         "Content-type": "application/json"
       }
    )
  logOutResponse.raise_for_status()

The function can be called as follows:

startQprProcessAnalyzerScript(
  serverUrl = "https://server.onqpr.com/qprpa",
  username = "qpr",
  password = "demo",
  scriptId = 1
)

The script id can be seen in the scripts list in the Workspace.