Examples with MonitorPointTimeSeries alma.acs.monitoring.MonitorPointTimeSeries used on opensource projects

Example 6 with MonitorPointTimeSeries

use of alma.acs.monitoring.MonitorPointTimeSeries in project ACS by ACS-Community.

the class AnyExtractor method extractData.

/**
	 * The main method of this class.
	 * It checks <code>inSequence</code> for the recognized data types
	 * and extracts them using the respective Corba Helper classes.
	 * We keep NaN floating point types, so that they will have to be supressed later in the
	 * data processing if needed. 
	 * <p>
	 * Currently this method also rearranges the sequence data based on information 
	 * obtained from monitorPointExpert. This should be done separately in the future.
	 * 
	 * @param inSequence
	 *            The sequence of data from one property (monitor point) from one collector interval.
	 * @param propertyName Used along with {@link #monitorPointExpert} for MP-specific data restructuring.
	 * @return List of one or many MonitorPointTimeSeries objects extracted from inSequence.
	 *         The list position is in line with the "derived index" in case a monitor point was expanded into many. 
	 * @throws AcsJNoResourcesEx 
	 */
List<MonitorPointTimeSeries> extractData(Any inSequence, String propertyName) throws AcsJNoResourcesEx {
    List<MonitorPointTimeSeries> outList = new ArrayList<MonitorPointTimeSeries>();
    try {
        // For this case, the index, i.e., the position inside the sequence is 0
        if (inSequence.type().equal(doubleBlobDataSeqHelper.type())) {
            doubleBlobData[] blobDataArray = doubleBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, doubleBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (doubleBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Double
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(doubleSeqBlobDataSeqHelper.type())) {
            doubleSeqBlobData[] blobDataMatrix = doubleSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, doubleSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (doubleSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (double value : blobDataArray.value) {
                            // Double
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, doubleBlobDataSeqHelper.type().id());
                    for (doubleSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (double value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Double
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(floatBlobDataSeqHelper.type())) {
            floatBlobData[] blobDataArray = floatBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, floatBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (floatBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Float
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(floatSeqBlobDataSeqHelper.type())) {
            floatSeqBlobData[] blobDataMatrix = floatSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, floatSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (floatSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (float value : blobDataArray.value) {
                            // Float
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, floatBlobDataSeqHelper.type().id());
                    for (floatSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (float value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Float
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(longBlobDataSeqHelper.type())) {
            longBlobData[] blobDataArray = longBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, longBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (longBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Long
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(longSeqBlobDataSeqHelper.type())) {
            longSeqBlobData[] blobDataMatrix = longSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, longSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (longSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (long value : blobDataArray.value) {
                            // Long
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, longBlobDataSeqHelper.type().id());
                    for (longSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (long value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Long
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(uLongBlobDataSeqHelper.type())) {
            uLongBlobData[] blobDataArray = uLongBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, uLongBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (uLongBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // TODO: use Long and fix mismatch if blobData.value < 0
                // Integer
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(uLongSeqBlobDataSeqHelper.type())) {
            uLongSeqBlobData[] blobDataMatrix = uLongSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, uLongSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (uLongSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (int value : blobDataArray.value) {
                            // TODO: use Long and fix mismatch if value < 0
                            // Integer
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, uLongBlobDataSeqHelper.type().id());
                    for (uLongSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (int value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // TODO: use Long and fix mismatch if value < 0
                            // Integer
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(longLongBlobDataSeqHelper.type())) {
            longLongBlobData[] blobDataArray = longLongBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, longLongBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (longLongBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Long
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(longLongSeqBlobDataSeqHelper.type())) {
            longLongSeqBlobData[] blobDataMatrix = longLongSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, longLongSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (longLongSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (long value : blobDataArray.value) {
                            // Long
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, longLongBlobDataSeqHelper.type().id());
                    for (longLongSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (long value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Long
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(uLongLongBlobDataSeqHelper.type())) {
            uLongLongBlobData[] blobDataArray = uLongLongBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, uLongLongBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (uLongLongBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // TODO: Use BigInteger and fix mismatch for negative values, something like 
                //          if (blobData.value < 0) {BigInteger.valueOf(blobData.value).add(new BigInteger("10000000000000000", 16)));
                //          This will not resolve overflow problems with computing the statistics though.
                //       Or better get rid of "unsigned long long" in our IDL, or replace it with something like
                //          "typedef fixed<31,0> BigInt"
                // Long
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(uLongLongSeqBlobDataSeqHelper.type())) {
            uLongLongSeqBlobData[] blobDataMatrix = uLongLongSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, uLongLongSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (uLongLongSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        // TODO: See type mismatch comment above for uLongLongBlobDataSeq
                        for (long value : blobDataArray.value) {
                            // Long
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, uLongLongBlobDataSeqHelper.type().id());
                    for (uLongLongSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        // TODO: See type mismatch comment above for uLongLongBlobDataSeq
                        for (long value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Long
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // This is time series data coming from a simple property.
        if (inSequence.type().equal(booleanBlobDataSeqHelper.type())) {
            booleanBlobData[] blobDataArray = booleanBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, booleanBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (booleanBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Boolean
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // This is time series data coming from a multi-valued property.
        if (inSequence.type().equal(booleanSeqBlobDataSeqHelper.type())) {
            booleanSeqBlobData[] blobDataMatrix = booleanSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, booleanSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (booleanSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (boolean value : blobDataArray.value) {
                            // Boolean
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, booleanBlobDataSeqHelper.type().id());
                    for (booleanSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (boolean value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // Boolean
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // patternBlobDataSeq
        if (inSequence.type().equal(patternBlobDataSeqHelper.type())) {
            patternBlobData[] blobDataArray = patternBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, patternBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (patternBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Long
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // stringBlobDataSeq
        if (inSequence.type().equal(stringBlobDataSeqHelper.type())) {
            stringBlobData[] blobDataArray = stringBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, stringBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (stringBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // String
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else // stringSeqBlobDataSeq
        if (inSequence.type().equal(stringSeqBlobDataSeqHelper.type())) {
            stringSeqBlobData[] blobDataMatrix = stringSeqBlobDataSeqHelper.extract(inSequence);
            if (blobDataMatrix != null && blobDataMatrix.length > 0) {
                if (monitorPointExpert.isMultivaluedMonitorPoint(propertyName)) {
                    // We interpret this as a time series of a single multi-valued monitor point
                    MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, stringSeqBlobDataSeqHelper.type().id());
                    outList.add(mpTs);
                    for (stringSeqBlobData blobDataArray : blobDataMatrix) {
                        MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                        for (String value : blobDataArray.value) {
                            // String
                            mpv.addValue(value);
                        }
                        mpTs.addMonitorPointValue(mpv);
                    }
                } else {
                    // We interpret this as a time series of multiple single-valued monitor points
                    populateList(outList, blobDataMatrix[0].value.length, stringBlobDataSeqHelper.type().id());
                    for (stringSeqBlobData blobDataArray : blobDataMatrix) {
                        int index = 0;
                        for (String value : blobDataArray.value) {
                            MonitorPointValue mpv = new MonitorPointValue(blobDataArray.time);
                            // String
                            mpv.addValue(value);
                            MonitorPointTimeSeries mpTs = outList.get(index);
                            mpTs.addMonitorPointValue(mpv);
                            index++;
                        }
                    }
                }
            }
        } else // enumBlobDataSeq
        if (inSequence.type().equal(enumBlobDataSeqHelper.type())) {
            enumBlobData[] blobDataArray = enumBlobDataSeqHelper.extract(inSequence);
            MonitorPointTimeSeries mpTs = new MonitorPointTimeSeries(0, enumBlobDataSeqHelper.type().id());
            outList.add(mpTs);
            for (enumBlobData blobData : blobDataArray) {
                MonitorPointValue mpv = new MonitorPointValue(blobData.time);
                // Integer
                mpv.addValue(blobData.value);
                mpTs.addMonitorPointValue(mpv);
            }
        } else {
            logger.warning("Unknown CORBA data type received by blobber");
            throw new IllegalStateException("Unknown CORBA data type received, " + inSequence.type());
        }
    } catch (BadKind ex) {
        // This should never happen because we call TypeCode.id() only on TypeCodes
        // that do have an ID.
        logger.log(Level.WARNING, "Unexpected exception related to reading Any TypeCode IDs.", ex);
    }
    return outList;
}

Example 7 with MonitorPointTimeSeries

use of alma.acs.monitoring.MonitorPointTimeSeries in project ACS by ACS-Community.

the class CorbaAnyExtractionTest method testExtractData_doubleSeqBlobDataSeq_multivalued.

/**
	 * Test of extractData method for 'doubleSeqBlobDataSeq' data for a multi-valued MP.
	 */
@Test
public void testExtractData_doubleSeqBlobDataSeq_multivalued() throws Exception {
    String propertyName = "MODULE_MODE_STATUS";
    Any any = create_any();
    double[] doubleData_time1 = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
    double[] doubleData_time2 = { 11.1, 12.2, 13.3, 14.4, 15.5, 16.6, 17.7, 18.8, 19.9, 20.0 };
    double[] doubleData_time3 = { 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0 };
    double[][] doubleDataMatrix = { doubleData_time1, doubleData_time2, doubleData_time3 };
    doubleSeqBlobData[] doubleSeqBlobDataArray = createDoubleSeqBlobData(doubleDataMatrix);
    doubleSeqBlobDataSeqHelper.insert(any, doubleSeqBlobDataArray);
    monitorPointExpert.setMultivalued(propertyName, true);
    // Test the AnyExtractor stand-alone
    List<MonitorPointTimeSeries> extractedData = anyExtractor.extractData(any, propertyName);
    assertThat("No demultiplexing into several MonitorPointTimeSeries instances expected", extractedData, hasSize(1));
    // Check the raw data
    MonitorPointTimeSeries mpTs = extractedData.get(0);
    assertThat(mpTs.getCorbaTypeId(), equalTo("IDL:alma/TMCDB/doubleSeqBlobDataSeq:1.0"));
    assertThat(mpTs.getMonitorPointIndex(), equalTo(0));
    List<MonitorPointValue> dataList = mpTs.getDataList();
    assertThat(dataList, hasSize(doubleDataMatrix.length));
    for (int i = 0; i < doubleDataMatrix.length; i++) {
        MonitorPointValue mpVal = dataList.get(i);
        assertThat(mpVal.getTime(), equalTo(BASE_TIME + i));
        List<Object> data = mpVal.getData();
        assertThat(data, hasSize(doubleData_time1.length));
        for (int j = 0; j < doubleData_time1.length; j++) {
            Object dataPart = data.get(j);
            assertThat(dataPart, instanceOf(Double.class));
            double dataPartExpected = doubleDataMatrix[i][j];
            assertThat(((Double) dataPart).doubleValue(), equalTo(dataPartExpected));
        }
    }
    logger.info("Validated doubleSeqBlobDataSeq interpreted as coming from a multivalued MP.");
    // As a variation we test also "BlobberWorker.createBlobData" which in real life surrounds the AnyExtractor call 
    String componentName = "CONTROL/DV01/PSA";
    String serialNumber = "3456328928847";
    MonitorBlob blob = new MonitorBlob(false, (short) 0, new String[] {}, "wrong:" + propertyName, any);
    MonitorBlob[] blobs = new MonitorBlob[] { blob };
    long startTime = BASE_TIME + 100;
    long stopTime = BASE_TIME + 101;
    MonitorDataBlock block = new MonitorDataBlock(startTime, stopTime, componentName, serialNumber, blobs);
    BlobData blobData = BlobberWorker.createBlobData(block, blob, extractedData.get(0), propertyName, serialNumber, logger);
    String clobExpected = BASE_TIME + "|1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0|" + (BASE_TIME + 1) + "|11.1 12.2 13.3 14.4 15.5 16.6 17.7 18.8 19.9 20.0|" + (BASE_TIME + 2) + "|21.0 22.0 23.0 24.0 25.0 26.0 27.0 28.0 29.0 30.0\n";
    checkComponentData(blobData, clobExpected, 3, componentName, propertyName, serialNumber, startTime, stopTime, 0, null);
}

Example 8 with MonitorPointTimeSeries

use of alma.acs.monitoring.MonitorPointTimeSeries in project ACS by ACS-Community.

the class CorbaAnyExtractionTest method testExtractData_floatBlobDataSeq.

/**
	 * Test of extractData method for 'floatBlobDataSeq' data.
	 */
@Test
public void testExtractData_floatBlobDataSeq() throws Exception {
    String propertyName = "MODULE_MODE_STATUS";
    Any any = create_any();
    float[] floatDataArray = { 1f, 2.1f, 3f, 4f, 5f, 6.666666f, 7f, 8f, 9f, 10f };
    floatBlobData[] floatBlobDataArray = createFloatBlobData(floatDataArray);
    floatBlobDataSeqHelper.insert(any, floatBlobDataArray);
    List<MonitorPointTimeSeries> extractedData = anyExtractor.extractData(any, propertyName);
    assertThat(extractedData, hasSize(1));
    // Check the raw data
    MonitorPointTimeSeries mpTs = extractedData.get(0);
    assertThat(mpTs.getCorbaTypeId(), equalTo("IDL:alma/TMCDB/floatBlobDataSeq:1.0"));
    assertThat(mpTs.getMonitorPointIndex(), equalTo(0));
    List<MonitorPointValue> dataList = mpTs.getDataList();
    assertThat(dataList, hasSize(floatDataArray.length));
    for (int i = 0; i < floatBlobDataArray.length; i++) {
        MonitorPointValue mpVal = dataList.get(i);
        assertThat(mpVal.getTime(), equalTo(BASE_TIME + i));
        assertThat(mpVal.getData(), contains((Object) new Float(floatDataArray[i])));
    }
    // Generate and check the CLOB data
    String clobActual = clobber.generateClob(mpTs);
    String clobExpected = BASE_TIME + "|1.0|" + (BASE_TIME + 1) + "|2.1|" + (BASE_TIME + 2) + "|3.0|" + (BASE_TIME + 3) + "|4.0|" + (BASE_TIME + 4) + "|5.0|" + (BASE_TIME + 5) + "|6.666666|" + (BASE_TIME + 6) + "|7.0|" + (BASE_TIME + 7) + "|8.0|" + (BASE_TIME + 8) + "|9.0|" + (BASE_TIME + 9) + "|10.0\n";
    assertThat(clobActual, equalTo(clobExpected));
    logger.info("Validated floatBlobDataSeq.");
}

Example 9 with MonitorPointTimeSeries

use of alma.acs.monitoring.MonitorPointTimeSeries in project ACS by ACS-Community.

the class CorbaAnyExtractionTest method testExtractData_doubleBlobDataSeq.

/**
	 * Test of extractData method for 'doubleBlobDataSeq' data.
	 */
@Test
public void testExtractData_doubleBlobDataSeq() throws Exception {
    String propertyName = "MODULE_MODE_STATUS";
    Any any = create_any();
    double[] doubleDataArray = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
    doubleBlobData[] doubleBlobDataArray = createDoubleBlobData(doubleDataArray);
    doubleBlobDataSeqHelper.insert(any, doubleBlobDataArray);
    List<MonitorPointTimeSeries> extractedData = anyExtractor.extractData(any, propertyName);
    assertThat(extractedData, hasSize(1));
    // Check the raw data
    MonitorPointTimeSeries mpTs = extractedData.get(0);
    assertThat(mpTs.getCorbaTypeId(), equalTo("IDL:alma/TMCDB/doubleBlobDataSeq:1.0"));
    assertThat(mpTs.getMonitorPointIndex(), equalTo(0));
    List<MonitorPointValue> dataList = mpTs.getDataList();
    assertThat(dataList, hasSize(doubleDataArray.length));
    for (int i = 0; i < doubleBlobDataArray.length; i++) {
        MonitorPointValue mpVal = dataList.get(i);
        assertThat(mpVal.getTime(), equalTo(BASE_TIME + i));
        assertThat(mpVal.getData(), contains((Object) new Double(doubleDataArray[i])));
    }
    // Generate and check the CLOB data
    String clobActual = clobber.generateClob(mpTs);
    String clobExpected = BASE_TIME + "|1.0|" + (BASE_TIME + 1) + "|2.0|" + (BASE_TIME + 2) + "|3.0|" + (BASE_TIME + 3) + "|4.0|" + (BASE_TIME + 4) + "|5.0|" + (BASE_TIME + 5) + "|6.0|" + (BASE_TIME + 6) + "|7.0|" + (BASE_TIME + 7) + "|8.0|" + (BASE_TIME + 8) + "|9.0|" + (BASE_TIME + 9) + "|10.0\n";
    assertThat(clobActual, equalTo(clobExpected));
    logger.info("Validated doubleBlobDataSeq.");
}