Unit Test Functions

Unit Test Functions



In addition to the Python functions described in Functions, Exceptions, Types, and Constants, the following functions are available for Unit Tests.

 does not include any native assert functionality, this functionality can be found in the common python libraries. Add the Python Module and use in the unit test.

Note!

To access the Unit Test functions described below from a Python Module you can import the testkit module. This is useful when you write test-related helper functions.

Finalizers

addFinalizer

This function adds a finalizer function to be called at scope exit.

def addFinalizer(func, *args, **kwargs)

Parameter

Description

Parameter

Description

func

A function

*args

Positional arguments to be passed to the function

**kwargs

Keyword arguments to be passed to the function

Returns

An object with a remove() method

Example - addFinalizer



res = createResource() addFinalizer(res.destroy)



finalizers

A Python context manager that defines an extra finalization scope. There are two pre-defined finalization scopes; one on the module level and one for each test function. These two scopes should be enough for normal use.

Example - finalizers



with finalizers: res = createResource() addFinalizer(res.destroy) ... # res.destroy() is called at 'with scope' exit.



Conditional testing

SkipException

Tests can be skipped by raising the SkipException exception in the test function blocks, or the initialize function block.

class SkipException(message=None)

Parameter

Type

Parameter

Type

message

str

Example - SkipException



def initialize(): raise SkipException('All tests are skipped') def test(): raise SkipException('This test is skipped')



Log functions

logSearch

Searches for entries in the System Log matching the given criteria. Returns an iterator with all matching entries.

def logSearch(fromDate=None, toDate=None, severities=None, areas=None, wfName=None, wfGroupName=None, agentName=None, userName=None, message=None)

Parameter

Type

Parameter

Type

fromDate

drdate

toDate

drdate

severities

list[str]

areas

list[str]

wfName

str

wfGroupName

str

agentName

str

userName

str

message

str

Example - logSearch



def test(): myit = logSearch(fromDate=drdate('2021-01-26 16:00:00.0 UTC'), toDate=drdate('2021-01-30 23:59:59.0 UTC')) for logEntry in myit: print(logEntry)



logRemove

Removes the log entry with the specified id.

def logRemove(id)

Parameter

Type

Parameter

Type

id

str

Workflow functions

These functions are event driven, meaning that an event is fired when the function is called. This means that if you use wfStart and immediately call wfIsRunning after it might return false as the workflow has yet to start. It might be necessary to loop over some of these functions while waiting for the status to changed.

wfAdd

Adds a new workflow to an existing workflow template.

def wfAdd(wfName, parameters=None)

Parameter

Type

Parameter

Type

wfName

str

parameters

dict[str, any]

Example - wfAdd



def test(): # Add a workflow  wfAdd('Default.test.workflow_1')

or

def test():    # Add a workflow and specify parameter values   wfAdd('Default.test.workflow_1', {'Time Unit': 'SECONDS', 'Interval': 4})



wfDelete

Deletes a workflow.

def wfDelete(wfName)

Parameter

Type

Parameter

Type

wfName

str

Example - wfDelete



def test(): wfDelete('Default.test.workflow_1')



wfExists

Returns True if the workflow exists.

def wfExists(wfName)

Parameter

Type

Parameter

Type

wfName

str

Example - wfExists



def test(): wfExists('Default.test.workflow_1')



wfStart

Starts the workflow. If successful, the workflow has been started but may not yet be running.

def wfStart(wfName, ec=None)

Parameter

Type

Parameter

Type

wfName

str

ec

str

Example - wfStart



def test(): # Starts the workflow on the default EC wfStart('Default.test.workflow_1')

or

def test(): # Starts the workflow on ec1 wfStart('Default.test.workflow_1', ec='ec1')



wfSetDebugMode

Sets the workflow debug mode.

Debug mode can be set before starting the workflow or after it has become running.

def wfSetDebugMode(wfName, on)

Parameter

Type

Parameter

Type

wfName

str

on

bool

Example - wfSetDebugMode



def test(): wfSetDebugMode('Default.test.workflow_1', True) wfStart('Default.test.workflow_1')

or

def test(): wfStart('Default.test.workflow_1') # Wait until wf is running wfSetDebugMode('Default.test.workflow_1', True)



wfIsCompleted

Returns True if the workflow completed.

def wfIsCompleted(wfName)

Parameter

Type

Parameter

Type

wfName

str

Example - wfIsCompleted



def test(): wfIsCompleted('Default.test.workflow_1') # False wfStart('Default.test.workflow_1') wfIsCompleted('Default.test.workflow_1') # False wfStop('Default.test.workflow_1') # Wait a sec for the workflow to actually stop wfIsCompleted('Default.test.workflow_1') # True



wfIsRunning

Returns True if the workflow is running.

def wfIsRunning(wfName)

Parameter

Type

Parameter

Type

wfName

str

Example - wfIsRunning



def test(): wfIsRunning('Default.test.workflow_1') # False wfStart('Default.test.workflow_1') # Wait for the workflow to actually start wfIsRunning('Default.test.workflow_1') # True wfStop('Default.test.workflow_1') wfIsRunning('Default.test.workflow_1') # False



wfIsAborted

Returns True if the workflow aborted.

def wfIsAborted(wfName)

Parameter

Type

Parameter

Type

wfName

str

wfAbortMessage

Returns the workflow abort message, if any.

def wfAbortMessage(wfName)

Parameter

Type

Parameter

Type

wfName

str

Example - wfAbortMessage



def test(): if wfIsAborted('Default.test.workflow_1'): print(wfAbortMessage('Default.test.workflow_1')) else: pass # do something



Event functions

Below is a general example for all event functions.

Our workflow ('Default.test.workflow_1') used in the example below is a simple workflow with a pulse agent connecting to an analysis agent where we debug the input.

For information on how to format the filter see: Event Types(3.0).

Example - Event functions



def test(): # Create an event buffer for our test workflow eventBuffer = eventBufferCreate(filter=dict(eventName='Debug Event', workflowName='Default.test.workflow_1'), ttl=60) # Make sure we are debugging as the filter is looking for debug events wfSetDebugMode('Default.test.workflow_1', True) # Start the workflow wfStart('Default.test.workflow_1') # Wait until some events have been produced # and then search the buffer events = eventBufferSearch(eventBuffer) for x in events: # Print only the agent message from the event iterator print(x.agentMessage) # Optionally destroy the buffer # it will be destroyed at the end of scope otherwise eventBufferDestroy(eventBuffer)



eventBufferCreate

Creates an event buffer where events matching filter are stored in memory for later inspection.
Returns the event buffer to be used in calls to other event buffer functions.

def eventBufferCreate(filter=None, ttl=None, maxSize=None)

Parameter

Type

Parameter

Type

filter

dict[str, any]

ttl

float

maxSize

int

eventBufferDestroy

Destroys the event buffer and releases any resources associated with it.

def eventBufferDestroy(buffer)

Parameter

Type

Parameter

Type

buffer

object

eventBufferSearch

Searches for events in the event buffer matching filter.
Returns an iterator with all currently matching events, with most recent event first.

def eventBufferSearch(buffer, filter=None)

Parameter

Type

Parameter

Type

buffer

object

filter

dict[str, any]