selectPassed
Class: matlab.unittest.plugins.diagnosticrecord.DiagnosticRecord
Namespace: matlab.unittest.plugins.diagnosticrecord
Return diagnostic records for passed events
Syntax
selectedRecords = selectPassed(records)
Description
selectedRecords = selectPassed(
returns the
diagnostic records for passed events as an array of
records
)matlab.unittest.plugins.diagnosticrecord.QualificationDiagnosticRecord
instances.
Input Arguments
records
— Recorded diagnostics on test result
array of matlab.unittest.plugins.diagnosticrecord.DiagnosticRecord
instances
Recorded diagnostics on a test result, specified as an array
of matlab.unittest.plugins.diagnosticrecord.DiagnosticRecord
instances.
Access recorded diagnostics via the DiagnosticRecord
field
in the Details
property on TestResult
.
For example, if your test results are stored in the variable results
,
find the recorded diagnostics for the second test by invoking records
= result(2).Details.DiagnosticRecord
.
Examples
Select Diagnostics on Test Result
In your working folder, create a file, ExampleTest.m
, containing
the following test class. The intent of this test is to illustrate how to use the
DiagnosticsRecordingPlugin
class, and it is not intended to be a
representative unit test.
classdef ExampleTest < matlab.unittest.TestCase methods (Test) function testA(testCase) testCase.log(1,'Terse log message') % logs testCase.log(3,'Detailed log message') % logs testCase.verifyEqual(3+2,5) % passes testCase.assumeTrue(true) % passes testCase.verifyGreaterThan(5, 9) % fails testCase.assertEqual(3.14,pi) % fails/incomplete end function testB(testCase) % This test contains an intentional error - passing a character % instead of a variable to the ones function. a = [1 2]; testCase.verifyEqual(ones('a'),[1 1]); % errors end end end
At the command prompt, create a test suite from the ExampleTest
class.
suite = testsuite('ExampleTest');
Create a test runner with no plugins. This code creates a silent runner and provides
you with complete control over the installed plugins. Add a
DiagnosticsRecordingPlugin
instance to the test runner.
import matlab.unittest.TestRunner import matlab.unittest.plugins.DiagnosticsRecordingPlugin runner = TestRunner.withNoPlugins; runner.addPlugin(DiagnosticsRecordingPlugin)
Run the tests.
results = runner.run(suite);
Display the result from the second test. The test fails and is incomplete.
results(2)
ans = TestResult with properties: Name: 'ExampleTest/testB' Passed: 0 Failed: 1 Incomplete: 1 Duration: 0.0268 Details: [1×1 struct] Totals: 0 Passed, 1 Failed (rerun), 1 Incomplete. 0.026778 seconds testing time.
Index into the diagnostic record to display more information. The test throws an uncaught exception.
results(2).Details.DiagnosticRecord
ans = ExceptionDiagnosticRecord with properties: Event: 'ExceptionThrown' EventScope: TestMethod EventLocation: 'ExampleTest/testB' Exception: [1×1 MException] AdditionalDiagnosticResults: [1×0 matlab.automation.diagnostics.DiagnosticResult] Stack: [1×1 struct] Report: 'Error occurred in ExampleTest/testB and it did not run to completion...'
Collect the diagnostic records for the first test, testA
.
testA_records = results(1).Details.DiagnosticRecord
testA_records = 1×3 heterogeneous DiagnosticRecord (LoggedDiagnosticRecord, QualificationDiagnosticRecord) array with properties: Event EventScope EventLocation Stack Report
View the events that the plugin recorded for testA
. The plugin
records the message logged at a Terse
level of verbosity, and the
verification and assertion failures.
{testA_records.Event}'
ans = 3×1 cell array {'DiagnosticLogged' } {'VerificationFailed'} {'AssertionFailed' }
Create a plugin that records messages at all verbosity
levels and includes passing diagnostics. Rerun the tests and collect
the diagnostic records for testA
.
runner = TestRunner.withNoPlugins; runner.addPlugin(DiagnosticsRecordingPlugin( ... 'IncludingPassingDiagnostics',true,'OutputDetail',4,'LoggingLevel',4)) results = runner.run(suite); testA_records = results(1).Details.DiagnosticRecord;
View the events that the plugin recorded for testA
. The plugin
records diagnostic information for all the qualifications and calls to the
log
method.
{testA_records.Event}'
ans = 6×1 cell array {'DiagnosticLogged' } {'DiagnosticLogged' } {'VerificationPassed'} {'AssumptionPassed' } {'VerificationFailed'} {'AssertionFailed' }
Select all the records with failing event diagnostics.
failedRecords = selectFailed(testA_records)
failedRecords = 1×2 QualificationDiagnosticRecord array with properties: Event EventScope EventLocation TestDiagnosticResults FrameworkDiagnosticResults AdditionalDiagnosticResults Stack Report
Select all the records with passing event diagnostics and display the report for the first record.
passedRecords = selectPassed(testA_records); passedRecords(1).Report
ans = 'Verification passed in ExampleTest/testA. --------------------- Framework Diagnostic: --------------------- verifyEqual passed. --> The numeric values are equal using "isequaln". Actual Value: 5 Expected Value: 5 ------------------ Stack Information: ------------------ In C:\work\ExampleTest.m (ExampleTest.testA) at 6'
Select all the records for incomplete events. Since this event is an assertion
failure, the framework also returns this record with the failing diagnostics as
failedRecords(2)
.
incompleteRecords = selectIncomplete(testA_records)
incompleteRecords = QualificationDiagnosticRecord with properties: Event: 'AssertionFailed' EventScope: TestMethod EventLocation: 'ExampleTest/testA' TestDiagnosticResults: [1×0 matlab.automation.diagnostics.DiagnosticResult] FrameworkDiagnosticResults: [1×1 matlab.automation.diagnostics.DiagnosticResult] AdditionalDiagnosticResults: [1×0 matlab.automation.diagnostics.DiagnosticResult] Stack: [1×1 struct] Report: 'Assertion failed in ExampleTest/testA and it did not run to completion...'
Select all the records with logged events and display the logged messages.
loggedRecords = selectLogged(testA_records); {loggedRecords.Report}'
ans = 2×1 cell array {'[Terse] Diagnostic logged (2022-10-15 19:10:56): Terse log message' } {'[Detailed] Diagnostic logged (2022-10-15 19:10:56): Detailed log message'}
Version History
Introduced in R2016a
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