Java AssertJUnit.fail方法代碼示例

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension2() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - Features are not of numeric type");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 bool );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier('model1', " +
            " attribute_0, attribute_1, attribute_2, attribute_3) \n" +
            "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel " +
            "insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("model.features in 5th parameter is not " +
                "a numerical type attribute. Found BOOL. Check the input stream definition"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension3() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - model.name is not String");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 double );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier(123, " +
            "attribute_0, attribute_1, attribute_2, attribute_3) \n" + "" +
            "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel " +
            "insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid parameter type found for " +
                "the model.name argument, required STRING but found INT"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension4() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - invalid model name");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 double, attribute_4 string );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier(attribute_4, " +
            "attribute_0, attribute_1, attribute_2, attribute_3, attribute_4) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel" +
            " insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Parameter model.name must be a constant "
                + "but found org.wso2.siddhi.core.executor.VariableExpressionExecutor"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension5() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - incorrect initialization");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 double, attribute_4 string );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier() \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel " +
            "insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid number of parameters " +
                "for streamingml:hoeffdingTreeClassifier. This Stream Processor requires at least 3 parameters," +
                " namely, model.name and at least 2 feature_attributes, but found 0 parameters"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension6() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - Incompatible model");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 double);";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier('model1', " +
            "attribute_0, attribute_1, attribute_2) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel " +
            "insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(trainingStream +
                inStreamDefinition + trainingQuery + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid number of feature attributes " +
                "for streamingml:hoeffdingTreeClassifier. This Stream Processor is defined with " +
                "4 features, but found 3 feature"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension10() throws InterruptedException {
    logger.info("HoeffdingClassifierUpdaterStreamProcessorExtension TestCase - Incompatible model (reverse)");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 " +
            "double, attribute_3 double);";
    String query = ("@info(name = 'query1') from StreamA#streamingml:hoeffdingTreeClassifier('model1', " +
            "attribute_0, attribute_1, attribute_2) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel " +
            "insert into outputStream;");

    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(trainingStream +
                inStreamDefinition + query + trainingQuery);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid number of feature attributes "
                + "for streamingml:hoeffdingTreeClassifier. This Stream Processor is defined with 4 features, "
                + "but found 3 feature attributes"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testRegressionStreamProcessorExtension2() throws InterruptedException {
    logger.info("RegressionLearningStreamProcessorExtension TestCase - Features are not of numeric type");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 "
            + "double, attribute_3 bool );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:AMRulesRegressor('ml', "
            + " attribute_0, attribute_1, attribute_2, attribute_3) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, meanSquaredError "
            + "insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(trainingStream + inStreamDefinition
                + trainingQuery + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("model.features in 5th parameter is not a"
                + " numerical type attribute. Found BOOL. Check the input stream definition."));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testRegressionStreamProcessorExtension3() throws InterruptedException {
    logger.info("RegressionLearningStreamProcessorExtension TestCase - model.name is not String");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 "
            + "double, attribute_3 double );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:AMRulesRegressor(123, "
            + "attribute_0, attribute_1, attribute_2, attribute_3) \n" + ""
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, meanSquaredError "
            + "insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid parameter type found for the model.name"
                + " argument, required STRING, but found INT."));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testRegressionStreamProcessorExtension4() throws InterruptedException {
    logger.info("RegressionLearningStreamProcessorExtension TestCase - invalid model name");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 "
            + "double, attribute_3 double, attribute_4 string );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:AMRulesRegressor(attribute_4, "
            + "attribute_0, attribute_1, attribute_2, attribute_3, attribute_4) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, meanSquaredError"
            + " insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Parameter model.name must be a constant "
                + "but found org.wso2.siddhi.core.executor.VariableExpressionExecutor"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testRegressionStreamProcessorExtension5() throws InterruptedException {
    logger.info("RegressionLearningStreamProcessorExtension TestCase - incorrect initialization");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 "
            + "double, attribute_3 double, attribute_4 double );";
    String query = ("@info(name = 'query1') from StreamA#streamingml:AMRulesRegressor() \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, meanSquaredError "
            + "insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(inStreamDefinition + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("streamingML:AMRulesRegressor needs exactly"
                + " model.name and 5 feature atttributes, but found 0."));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testRegressionStreamProcessorExtension6() throws InterruptedException {
    logger.info("RegressionLearningStreamProcessorExtension TestCase - Incompatible model");
    SiddhiManager siddhiManager = new SiddhiManager();

    String inStreamDefinition = "define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 "
            + "double, attribute_3 double);";
    String query = ("@info(name = 'query1') from StreamA#streamingml:AMRulesRegressor('ml', "
            + "attribute_0, attribute_1, attribute_2) \n"
            + "select attribute_0, attribute_1, attribute_2, attribute_3, prediction, meanSquaredError "
            + "insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(trainingStream +
                inStreamDefinition + trainingQuery + query);
        AssertJUnit.fail();
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.assertTrue(e instanceof SiddhiAppCreationException);
        AssertJUnit.assertTrue(e.getCause().getMessage().contains("Invalid number of parameters for "
                + "streamingml:AMRulesRegressor. This Stream Processor requires  5 parameters, namely, "
                + "model.name and 4 feature_attributes, but found 3 parameters"));
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testClassificationStreamProcessorExtension15() throws InterruptedException {
    logger.info("HoeffdingClassifierStreamProcessorExtension TestCase - model is visible only within the "
            + "SiddhiApp");
    SiddhiManager siddhiManager = new SiddhiManager();

    String trainingStream1 = "@App:name('HoeffdingTreeTestApp1') \n"
            + "define stream StreamTrain (attribute_0 double, "
            + "attribute_1 double, attribute_2 double, attribute_3 double, attribute_4 string );";
    String trainingQuery1 = ("@info(name = 'query-train') "
            + "from StreamTrain#streamingml:updateHoeffdingTree('ml', 4, "
            + "attribute_0, attribute_1, attribute_2, attribute_3, attribute_4) \n"
            + "insert all events into trainOutputStream;\n");

    String trainingStrream2 = "@App:name('HoeffdingTreeTestApp2') define stream StreamTrain (attribute_0 double, "
            + "attribute_1 double, attribute_2 double,attribute_3 string );";
    String trainingQuery2 = ("@info(name = 'query-train') "
            + "from StreamTrain#streamingml:updateHoeffdingTree('ml', 3, "
            + "attribute_0, attribute_1 , attribute_2 ,attribute_3) select attribute_0, "
            + "attribute_1, attribute_2, accuracy insert into outputStream;");
    try {
        SiddhiAppRuntime siddhiAppRuntime1 = siddhiManager
                .createSiddhiAppRuntime(trainingStream1 + trainingQuery1);
        // should be successful even though both the apps are using the same model name with different feature
        // values
        SiddhiAppRuntime siddhiAppRuntime2 = siddhiManager
                .createSiddhiAppRuntime(trainingStrream2 + trainingQuery2);
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.fail("Model is visible across Siddhi Apps which is wrong!");
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void testUpdateUpdateRegressionLearningStreamProcessorExtension12() throws InterruptedException {
    logger.info("UpdateUpdateRegressionLearningStreamProcessorExtension TestCase - model is visible only "
            + "within the SiddhiApp");
    SiddhiManager siddhiManager = new SiddhiManager();

    String trainingStream1 = "@App:name('AMRulesRegressorTestApp1') \n"
            + "define stream StreamTrain (attribute_0 double, "
            + "attribute_1 double, attribute_2 double, attribute_3 double, attribute_4 double );";
    String trainingQuery1 = ("@info(name = 'query-train') "
            + "from StreamTrain#streamingml:updateAMRulesRegressor('ml', "
            + "attribute_0, attribute_1, attribute_2, attribute_3, attribute_4) \n"
            + "insert all events into trainOutputStream;\n");

    String trainingStrream2 = "@App:name('AMRulesRegressorTestApp2') define stream StreamTrain "
            + "(attribute_0 double, attribute_1 double, attribute_2 double,attribute_3 double );";
    String trainingQuery2 = ("@info(name = 'query-train') "
            + "from StreamTrain#streamingml:updateAMRulesRegressor('ml', "
            + "attribute_0, attribute_1 , attribute_2 ,attribute_3) "
            + "insert all events into trainOutputStream;\n");
    try {
        SiddhiAppRuntime siddhiAppRuntime1 = siddhiManager
                .createSiddhiAppRuntime(trainingStream1 + trainingQuery1);
        // should be successful even though both the apps are using the same model name with different feature
        // values
        SiddhiAppRuntime siddhiAppRuntime2 = siddhiManager
                .createSiddhiAppRuntime(trainingStrream2 + trainingQuery2);
    } catch (Exception e) {
        logger.error(e.getCause().getMessage());
        AssertJUnit.fail("Model is visible across Siddhi Apps which is wrong!");
    }
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void jsonSinkMapperTestCase1() throws InterruptedException {
    log.info("JsonSinkMapperTestCase 1");
    InMemoryBroker.Subscriber subscriberWSO2 = new InMemoryBroker.Subscriber() {
        @Override
        public void onMessage(Object msg) {
            String jsonString;
            switch (wso2Count.incrementAndGet()) {
                case 1:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2\",\"price\":55.6,\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString , msg);
                    break;
                case 2:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2\",\"price\":57.678,\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString, msg);
                    break;
                case 3:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2\",\"price\":50.0,\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString , msg);
                    break;
                case 4:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2#$%\",\"price\":50.0,\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString , msg);
                    break;
                case 5:
                    jsonString = "[{\"event\":{\"symbol\":\"WSO2\",\"price\":55.6,\"volume\":100}}," +
                            "{\"event\":{\"symbol\":\"IBM\",\"price\":32.6,\"volume\":160}}]";
                    AssertJUnit.assertEquals(jsonString , msg);
                    break;
                default:
                    AssertJUnit.fail();
            }
        }
        @Override
        public String getTopic() {
            return "WSO2";
        }
    };
    //subscribe to "inMemory" broker per topic
    InMemoryBroker.subscribe(subscriberWSO2);
    String streams = "" +
            "@App:name('TestSiddhiApp')" +
            "define stream FooStream (symbol string, price float, volume long); " +
            "@sink(type='inMemory', topic='WSO2', @map(type='json')) " +
            "define stream BarStream (symbol string, price float, volume long); ";
    String query = "" +
            "from FooStream " +
            "select * " +
            "insert into BarStream; ";
    SiddhiManager siddhiManager = new SiddhiManager();
    SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(streams + query);
    InputHandler stockStream = siddhiAppRuntime.getInputHandler("FooStream");
    siddhiAppRuntime.start();
    Event wso2Event = new Event();
    Event ibmEvent = new Event();
    Object[] wso2Data = {"WSO2", 55.6f, 100L};
    Object[] ibmData = {"IBM", 32.6f, 160L};
    wso2Event.setData(wso2Data);
    ibmEvent.setData(ibmData);
    stockStream.send(new Object[]{"WSO2", 55.6f, 100L});
    stockStream.send(new Object[]{"WSO2", 57.678f, 100L});
    stockStream.send(new Object[]{"WSO2", 50f, 100L});
    stockStream.send(new Object[]{"WSO2#$%", 50f, 100L});
    stockStream.send(new Event[]{wso2Event, ibmEvent});
    SiddhiTestHelper.waitForEvents(waitTime, 5, wso2Count, timeout);
    //assert event count
    AssertJUnit.assertEquals(5, wso2Count.get());
    siddhiAppRuntime.shutdown();
    //unsubscribe from "inMemory" broker per topic
    InMemoryBroker.unsubscribe(subscriberWSO2);
}
 

import org.testng.AssertJUnit; //導入方法依賴的package包/類
@Test
public void jsonSinkMapperTestCase2() throws InterruptedException {
    log.info("JsonSinkMapperTestCase 2");
    InMemoryBroker.Subscriber subscriberWSO2 = new InMemoryBroker.Subscriber() {
        @Override
        public void onMessage(Object msg) {
            String jsonString;
            switch (wso2Count.incrementAndGet()) {
                case 1:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2\",\"price\":55.6,\"volume\":\"undefined\"}}";
                    AssertJUnit.assertEquals(jsonString, msg);
                    break;
                case 2:
                    jsonString = "{\"event\":{\"symbol\":\"WSO2\",\"price\":\"undefined\",\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString, msg);
                    break;
                case 3:
                    jsonString = "{\"event\":{\"symbol\":\"undefined\",\"price\":55.6,\"volume\":100}}";
                    AssertJUnit.assertEquals(jsonString, msg);
                    break;
                default:
                    AssertJUnit.fail();
            }
        }
        @Override
        public String getTopic() {
            return "WSO2";
        }
    };
    //subscribe to "inMemory" broker per topic
    InMemoryBroker.subscribe(subscriberWSO2);
    String streams = "" +
            "@App:name('TestSiddhiApp')" +
            "define stream FooStream (symbol string, price float, volume long); " +
            "@sink(type='inMemory', topic='WSO2', @map(type='json')) " +
            "define stream BarStream (symbol string, price float, volume long); ";
    String query = "" +
            "from FooStream " +
            "select * " +
            "insert into BarStream; ";
    SiddhiManager siddhiManager = new SiddhiManager();
    SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(streams + query);
    InputHandler stockStream = siddhiAppRuntime.getInputHandler("FooStream");
    siddhiAppRuntime.start();
    stockStream.send(new Object[]{"WSO2", 55.6f, null});
    stockStream.send(new Object[]{"WSO2", null, 100L});
    stockStream.send(new Object[]{null, 55.6f, 100L});
    SiddhiTestHelper.waitForEvents(waitTime, 3, wso2Count, timeout);
    //assert event count
    AssertJUnit.assertEquals(3, wso2Count.get());
    siddhiAppRuntime.shutdown();
    //unsubscribe from "inMemory" broker per topic
    InMemoryBroker.unsubscribe(subscriberWSO2);
}