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49cf45a595245cf86ade32fd50cbd661ed596c33 | Tenshiorg/Extensions-Lib | extensionsLib/src/main/java/io/github/shadow578/tenshi/extensionslib/lang/LanguageUtil.java | [
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49cf45a595245cf86ade32fd50cbd661ed596c33 | Tenshiorg/Extensions-Lib | extensionsLib/src/main/java/io/github/shadow578/tenshi/extensionslib/lang/LanguageUtil.java | [
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7f35264c37ac121a6e0516fecce029a01479a168 | Tenshiorg/Extensions-Lib | extensionsLib/src/main/java/io/github/shadow578/tenshi/extensionslib/content/util/ActivityAdapterActivity.java | [
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protected boolean loadAdapterParams() {
// ensure we have a intent
final Intent i = getIntent();
if (isNull(i))
return false;
// load data
malID = i.getIntExtra(EXTRA_MAL_ID, -1);
enTitle = i.getStringExtra(EXTRA_ANIME_TITLE_EN);
jpTitle = i.getStringExtra(EXTRA_ANIME_TITLE_JP);
episode = i.getIntExtra(EXTRA_TARGET_EPISODE, -1);
persistentStorage = i.getStringExtra(EXTRA_PERSISTENT_STORAGE);
uniqueName = i.getStringExtra(EXTRA_UNIQUE_NAME);
// persistent storage is optional, but cannot be null
persistentStorage = elvis(persistentStorage, "");
return !nullOrEmpty(uniqueName);
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protected boolean loadAdapterParams() {
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malID = i.getIntExtra(EXTRA_MAL_ID, -1);
enTitle = i.getStringExtra(EXTRA_ANIME_TITLE_EN);
jpTitle = i.getStringExtra(EXTRA_ANIME_TITLE_JP);
episode = i.getIntExtra(EXTRA_TARGET_EPISODE, -1);
persistentStorage = i.getStringExtra(EXTRA_PERSISTENT_STORAGE);
uniqueName = i.getStringExtra(EXTRA_UNIQUE_NAME);
persistentStorage = elvis(persistentStorage, "");
return !nullOrEmpty(uniqueName);
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7f35264c37ac121a6e0516fecce029a01479a168 | Tenshiorg/Extensions-Lib | extensionsLib/src/main/java/io/github/shadow578/tenshi/extensionslib/content/util/ActivityAdapterActivity.java | [
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final Intent i = new Intent(this, getServiceClass());
i.setAction(ActivityAdapterService.ACTION_NOTIFY_RESULT);
i.putExtra(ActivityAdapterService.EXTRA_RESULT_STREAM_URL, streamUrl);
i.putExtra(ActivityAdapterService.EXTRA_RESULT_PERSISTENT_STORAGE, persStorage);
i.putExtra(ActivityAdapterService.EXTRA_RESULT_UNIQUE_NAME, uniqueName);
startService(i);
} | /**
* invoke the callback of the content adapter
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*
* @param streamUrl the stream url for the callback
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2da8ad2a52bd0b6d007b810b07ca84d013262c4c | hansemannn/titanium-drag-and-drop | android/src/ti/draganddrop/TitaniumDragAndDropModule.java | [
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a197fbc633fa351f6210be1900ba38cfb18d4042 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/timeseries/extractor/AbstractTimeSeriesExtracter.java | [
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if (LOGGER.isTraceEnabled()) {
LOGGER.trace("sample measures in buffer has been called with chunks : {}",
chunks.stream().map(Chunk::toString).collect(Collectors.joining("\n")));
}
samplePointsFromChunksAndCalculAggreg(from, to, chunks);
chunks.clear();
totalPointCounter +=pointCounter;
pointCounter = 0;
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35cd19001ded9b9951812c1b0b381dbaf247c677 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/sampling/AbstractFirstItemSampler.java | [
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7858f6e07d222fa11bc7bc466b70e2ab9ec2e625 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetTimeSeriesHandler.java | [
"Apache-2.0"
] | Java | updateTags | null | private List<MetricRequest> updateTags(List<MetricRequest> requests, Request request) {
List<MetricRequest> resultRequests = new ArrayList<>();
requests.forEach(req -> {
// if (req.getTags() == null || req.getTags().isEmpty()) {
try {
// build Solr Query facet on metric_key
final String queryString = String.format("name:\"%s\" AND %s:[* TO %d] AND %s:[%d TO *]",
req.getName(),
SOLR_COLUMN_START,
request.getTo(),
SOLR_COLUMN_END,
request.getFrom());
final SolrQuery query = new SolrQuery()
.setQuery(queryString)
.setRows(0)
.setFacet(true)
.setFacetMinCount(1)
.setFacetLimit(5000)
.addFacetField(SOLR_COLUMN_METRIC_KEY);
final QueryResponse response = solrHistorianConf.client
.query(solrHistorianConf.chunkCollection, query);
// parse solr doc results to get all tags
JsonArray data = new JsonArray();
FacetField facetField = response.getFacetField(SOLR_COLUMN_METRIC_KEY);
if (facetField == null || facetField.getValues() == null) {
LOGGER.warn("unable to retrieve any metric_key from facet : {}", query.toQueryString());
} else {
facetField.getValues().forEach(value -> {
String name = value.getName();
long count = value.getCount();
try {
Chunk.MetricKey metricKey = Chunk.MetricKey.parse(name);
if(req.getTags().isEmpty() || !Collections.disjoint(metricKey.getTags().keySet(), req.getTags().keySet() ))
{
MetricRequest newReq = new MetricRequest(metricKey.getName(), metricKey.getTags(), req.getQualityConfig());
resultRequests.add(newReq);
}
} catch (Exception e) {
LOGGER.debug("error parsing metric key, {}", name);
}
});
}
LOGGER.debug("done computing MetricRequests");
} catch (IOException | SolrServerException e) {
LOGGER.error("unexpected exception", e);
}
/* }else{
resultRequests.add(req);
}*/
});
return resultRequests;
} | /**
* will issue a solr facet query on metric_key to identify different tags and chunk sizes
*/ | will issue a solr facet query on metric_key to identify different tags and chunk sizes | [
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List<MetricRequest> resultRequests = new ArrayList<>();
requests.forEach(req -> {
try {
final String queryString = String.format("name:\"%s\" AND %s:[* TO %d] AND %s:[%d TO *]",
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final SolrQuery query = new SolrQuery()
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.setRows(0)
.setFacet(true)
.setFacetMinCount(1)
.setFacetLimit(5000)
.addFacetField(SOLR_COLUMN_METRIC_KEY);
final QueryResponse response = solrHistorianConf.client
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JsonArray data = new JsonArray();
FacetField facetField = response.getFacetField(SOLR_COLUMN_METRIC_KEY);
if (facetField == null || facetField.getValues() == null) {
LOGGER.warn("unable to retrieve any metric_key from facet : {}", query.toQueryString());
} else {
facetField.getValues().forEach(value -> {
String name = value.getName();
long count = value.getCount();
try {
Chunk.MetricKey metricKey = Chunk.MetricKey.parse(name);
if(req.getTags().isEmpty() || !Collections.disjoint(metricKey.getTags().keySet(), req.getTags().keySet() ))
{
MetricRequest newReq = new MetricRequest(metricKey.getName(), metricKey.getTags(), req.getQualityConfig());
resultRequests.add(newReq);
}
} catch (Exception e) {
LOGGER.debug("error parsing metric key, {}", name);
}
});
}
LOGGER.debug("done computing MetricRequests");
} catch (IOException | SolrServerException e) {
LOGGER.error("unexpected exception", e);
}
/* }else{
resultRequests.add(req);
}*/
});
return resultRequests;
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7858f6e07d222fa11bc7bc466b70e2ab9ec2e625 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetTimeSeriesHandler.java | [
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Set<String> tagsSet = new HashSet<>();
requests.forEach(metricRequest -> {
tagsSet.addAll(metricRequest.getTags().keySet());
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7858f6e07d222fa11bc7bc466b70e2ab9ec2e625 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetTimeSeriesHandler.java | [
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if (!request.getName().equals(tuple.fields.get(SOLR_COLUMN_NAME))) {
return false;
} else {
for (Map.Entry<String, String> entry : request.getTags().entrySet()) {
if (!tuple.fields.get(entry.getKey()).toString().equals(entry.getValue()))
return false;
}
return true;
}
} | /**
* return true if the tuple (one document response from solr) match the query for MetricRequest
*
* @param request the asked query. This is a combinaison of "name" and tags.
* @param tuple the count of chunks and measures for all chunk matching the query.
* There is a tuple for each combinaison of name/tag found.
* <p>
* for example something like that (each line is a tuple except the header)
* <pre>
* name | usine | sensor | count(*) | sum(chunk_count)
* temp_a | usine_1 | sensor_1 | 100 | 1000
* temp_a | usine_1 | sensor_2 | 10 | 100
* temp_b | usine_1 | null | 100 | 1000
* </pre>
* @return
*/ | return true if the tuple (one document response from solr) match the query for MetricRequest
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7858f6e07d222fa11bc7bc466b70e2ab9ec2e625 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetTimeSeriesHandler.java | [
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boolean isQueryMode1;
if (!request.getUseQuality()) {
isQueryMode1 = metricsInfo.getTotalNumberOfPoints() < solrHistorianConf.limitNumberOfPoint ||
metricsInfo.getTotalNumberOfPoints() <= getSamplingConf(request).getMaxPoint() ||
metricsInfo.getTotalNumberOfChunks() < getSamplingConf(request).getMaxPoint();
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queryModeMsg += "metricsInfo.getTotalNumberOfPoints() < solrHistorianConf.limitNumberOfPoint\n";
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queryModeMsg += "metricsInfo.getTotalNumberOfPoints() <= getSamplingConf(request).getMaxPoint()\n";
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queryModeMsg += "metricsInfo.getTotalNumberOfChunks() < getSamplingConf(request).getMaxPoint()\n";
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queryModeMsg += "metricsInfo.getTotalNumberOfChunksWithCorrectQuality() < getSamplingConf(request).getMaxPoint()\n";
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LOGGER.debug(queryModeMsg);
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2874cfd1d22412c73f7014f138dd20b90580c298 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/CsvConvertorUtil.java | [
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String fileName = convertor.file.uploadedFileName();
MappingIterator<Map> rows = getMappingIteratorFromFile(fileName);
List<LineWithDateInfo> linesWithDateInfo = ReturnLineWithDateInfoList(rows, csvFilesConvertorConf);
if (linesWithDateInfo.size() > csvFilesConvertorConf.getMaxNumberOfLignes()) {
throw new IOException(String.valueOf(linesWithDateInfo.size()));
}
DataConverter dataConverter = new DataConverter(csvFilesConvertorConf);
convertor.fileInArray = dataConverter.toGroupedByMetricDataPoints(linesWithDateInfo);
} | /**
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*
* convert the csv file to json , and putting the json in convertor.fileInArray
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2874cfd1d22412c73f7014f138dd20b90580c298 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/CsvConvertorUtil.java | [
"Apache-2.0"
] | Java | ReturnLineWithDateInfoList | null | private static List<LineWithDateInfo> ReturnLineWithDateInfoList(MappingIterator<Map> rows,
CsvFilesConvertorConf csvFilesConvertorConf) throws IOException {
List<Map> listFromRows = rows.readAll();
// here just checking the attributes :
verifyAttributes(listFromRows, csvFilesConvertorConf);
List<LineWithDateInfo> linesWithDateInfos = new LinkedList<>();
listFromRows.forEach(i -> {
try {
// if date is generated from timestamp successfully
String date = generateDateFromTime(i.get(csvFilesConvertorConf.getTimestamp()), csvFilesConvertorConf);
linesWithDateInfos.add(new LineWithDateInfo(i,date));
}catch (Exception e) {
// otherwise put null as date
LOGGER.debug("error in parsing date", e);
linesWithDateInfos.add(new LineWithDateInfo(i,null));
}
});
return linesWithDateInfos;
} | /**
* @param rows MappingIterator<Map>
* @param csvFilesConvertorConf CsvFilesConvertorConf
*
* return a list of LineWithDateInfo
* for each row construct a LineWithDateInfo object, if there is no date use null.
*
* @return List<LineWithDateInfo>
*/ |
return a list of LineWithDateInfo
for each row construct a LineWithDateInfo object, if there is no date use null.
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String date = generateDateFromTime(i.get(csvFilesConvertorConf.getTimestamp()), csvFilesConvertorConf);
linesWithDateInfos.add(new LineWithDateInfo(i,date));
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linesWithDateInfos.add(new LineWithDateInfo(i,null));
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@param csvFilesConvertorConf CsvFilesConvertorConf | [
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"param": "rows",
"type": "MappingIterator<Map>"
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2874cfd1d22412c73f7014f138dd20b90580c298 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/CsvConvertorUtil.java | [
"Apache-2.0"
] | Java | verifyAttributes | null | private static void verifyAttributes(List<Map> listFromRows, CsvFilesConvertorConf csvFilesConvertorConf) {
listFromRows.forEach(i -> {
Set<String> keySet = i.keySet();
if ( (csvFilesConvertorConf.getName() != null) && (!keySet.contains(csvFilesConvertorConf.getName())))
throw new NoSuchElementException("error in the attributes : the attribute name :"+ csvFilesConvertorConf.getName()
+ " don't exist in the csv, you can use the attribute " +CUSTOM_NAME);
if (!keySet.contains(csvFilesConvertorConf.getTimestamp()))
throw new NoSuchElementException("error in the attributes");
if (!keySet.contains(csvFilesConvertorConf.getValue()))
throw new NoSuchElementException("error in the attributes");
if (csvFilesConvertorConf.getQuality() != null && (!keySet.contains(csvFilesConvertorConf.getQuality())))
throw new NoSuchElementException("error in the attributes");
});
} | /**
* @param listFromRows List<Map>
* @param csvFilesConvertorConf CsvFilesConvertorConf
*
* verify if this list from the csv file have the same column as the attributes in input :
* name, timestamp, value, and all the tags.
*
*/ |
verify if this list from the csv file have the same column as the attributes in input :
name, timestamp, value, and all the tags. | [
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] | {
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"raises": [],
"params": [
{
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"type": "List<Map>",
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"default": null,
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0a0f3109d38cb8d830ad2be35a0b12254ec87a64 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/transformation/NonNegativeDerivative.java | [
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
//we need a sorted time series
timeSeries.sort();
long[] times = timeSeries.getTimestampsAsArray();
double[] values = timeSeries.getValuesAsArray();
//Clear the time series
timeSeries.clear();
for (int i = 1; i < values.length - 1; i++) {
long yT1 = times[i + 1];
long yT0 = times[i - 1];
double xT1 = values[i + 1];
double xT0 = values[i - 1];
double derivativeValue = DerivativeUtil.derivative(xT1, xT0, yT1, yT0);
if (derivativeValue >= 0) {
//We use the average time of
long derivativeTime = yT1 + (yT1 - yT0) / 2;
timeSeries.add(derivativeTime, derivativeValue);
}
}
functionValueMap.add(this);
} | /**
* Calculates the derivative of the time series
*
* @param timeSeries the time series that is transformed
*/ | Calculates the derivative of the time series
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timeSeries.sort();
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double[] values = timeSeries.getValuesAsArray();
timeSeries.clear();
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long yT0 = times[i - 1];
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double derivativeValue = DerivativeUtil.derivative(xT1, xT0, yT1, yT0);
if (derivativeValue >= 0) {
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c928857bc92ffbccdf349f2eef803ed724fb63b1 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaMeasureForecaster.java | [
"Apache-2.0"
] | Java | forecast | null | @Override
public List<Measure> forecast(List<Measure> inputData, int numPoints) {
double[] dataArray = measureToDouble(inputData);
verifier();
ForecastResult forecastResult = Arima.forecast_arima(dataArray, numPoints, new ArimaParams(p, d, q, P, D, Q, m));
double[] forecastData = forecastResult.getForecast();
long lastTimestamp = inputData.get(inputData.size()-1).getTimestamp();
long preTimestamp = inputData.get(inputData.size()-2).getTimestamp();
long interval = lastTimestamp - preTimestamp;
ArrayList<Measure> forecasted = new ArrayList<Measure>();
for (int i = 0; i < forecastData.length; i++) {
forecasted.add(Measure.fromValue(lastTimestamp + interval * (i+1), forecastData[i]));
}
return forecasted;
} | /**
* Forecast the number of points we want of a time series
*
* @param inputData the series which we want to predict the next points
* @param numPoints number of points to forecast
* @return a list of measure with their timestamp and their forecasted values
* @throws IOException
*/ | Forecast the number of points we want of a time series
@param inputData the series which we want to predict the next points
@param numPoints number of points to forecast
@return a list of measure with their timestamp and their forecasted values
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c928857bc92ffbccdf349f2eef803ed724fb63b1 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaMeasureForecaster.java | [
"Apache-2.0"
] | Java | fit | null | @Override
public void fit(List<Measure> trainingData, List<Measure> validatingData) {
List<Integer> order = Arrays.asList(0, 0, 0, 0, 0, 0);
double[] train = measureToDouble(trainingData);
double[] valid = measureToDouble(validatingData);
double minMse = 99999999;
for (int i = 0; i < 10; i++) {
for (int j = 0; j < 10; j++) {
for (int k = 0; k < 10; k++) {
ForecastResult forecastResult = null;
if (i == 0 && k == 0) {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(1, j, k, P, D, Q, 1+k+1));
} else {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(i, j, k, P, D, Q, i+k+1));
}
double[] forecastData = forecastResult.getForecast();
double mse = rootMeanSquaredError(valid, forecastData);
if (mse < minMse) {
minMse = mse;
order.set(0, i);
order.set(1, j);
order.set(2, k);
}
}
}
}
p = order.get(0);
d = order.get(1);
q = order.get(2);
P = order.get(3);
D = order.get(4);
Q = order.get(5);
m = p + q + P + Q + 1;
} | /**
* Find the ARIMA's parameters
*
* @param trainingData the given elements to train the model
* @param validatingData the elements to compare with the forecasted values
*/ | Find the ARIMA's parameters
@param trainingData the given elements to train the model
@param validatingData the elements to compare with the forecasted values | [
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public void fit(List<Measure> trainingData, List<Measure> validatingData) {
List<Integer> order = Arrays.asList(0, 0, 0, 0, 0, 0);
double[] train = measureToDouble(trainingData);
double[] valid = measureToDouble(validatingData);
double minMse = 99999999;
for (int i = 0; i < 10; i++) {
for (int j = 0; j < 10; j++) {
for (int k = 0; k < 10; k++) {
ForecastResult forecastResult = null;
if (i == 0 && k == 0) {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(1, j, k, P, D, Q, 1+k+1));
} else {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(i, j, k, P, D, Q, i+k+1));
}
double[] forecastData = forecastResult.getForecast();
double mse = rootMeanSquaredError(valid, forecastData);
if (mse < minMse) {
minMse = mse;
order.set(0, i);
order.set(1, j);
order.set(2, k);
}
}
}
}
p = order.get(0);
d = order.get(1);
q = order.get(2);
P = order.get(3);
D = order.get(4);
Q = order.get(5);
m = p + q + P + Q + 1;
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@param trainingData the given elements to train the model
@param validatingData the elements to compare with the forecasted values | [
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c928857bc92ffbccdf349f2eef803ed724fb63b1 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaMeasureForecaster.java | [
"Apache-2.0"
] | Java | rootMeanSquaredError | null | public double rootMeanSquaredError (double[] measured, double[] forecasted) {
double mse = 0;
for (int i=0;i<forecasted.length;i++) {
mse += Math.pow(measured[i] - forecasted[i], 2);
}
return Math.sqrt(mse / forecasted.length);
} | /**
* Compute the Root Mean Squared of 2 lists of double value
*
* @param measured data
* @param forecasted data
* @return RMS
*/ | Compute the Root Mean Squared of 2 lists of double value
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@param forecasted data
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mse += Math.pow(measured[i] - forecasted[i], 2);
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double[] result = new double[inputData.size()];
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c928857bc92ffbccdf349f2eef803ed724fb63b1 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaMeasureForecaster.java | [
"Apache-2.0"
] | Java | verifier | null | public void verifier() {
if (p == 0 && q == 0) {
p=1;
}
} | /**
* Verification of ARIMA's parameters (p and q must not = 0 at same time)
*/ | Verification of ARIMA's parameters (p and q must not = 0 at same time) | [
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p=1;
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"params": [],
"outlier_params": [],
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1eb6226ff5078bfa935d00048560c67cde6a060d | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/compaction/protobuf/PointsCompressorWithQuality.java | [
"Apache-2.0"
] | Java | to | null | public byte[] to(final Iterator<Measure> metricDataPoints, float diffAcceptedForQuality, long ddcThreshold) {
if (shoudBeReset) {
resetProps();
}
int index = 0;
while (metricDataPoints.hasNext()) {
Measure p = metricDataPoints.next();
if (p == null) {
LOGGER.debug("Skipping 'null' point.");
continue;
}
point.clear();
long currentTimestamp = p.getTimestamp();
if (previousDate == -1) {
lastStoredDate = currentTimestamp;
}
//Add value or index, if the value already exists
setValueOrRefIndexOnPoint(valueIndex, index, p.getValue(), point);
//setQualityIfNeeded
float qualityOfPoint = getQualityOfPoint(p);
addQualityToPointsIfNeeded(index, qualityOfPoint, diffAcceptedForQuality);
long delta = calculDelta(currentTimestamp);
boolean isAlmostEquals = almostEquals(delta, ddcThreshold);
long drift = 0;
if (isAlmostEquals) {
drift = calculateDrift(currentTimestamp);;
if (noDrift(drift, ddcThreshold, numberOfPointSinceLastDelta) && drift >= 0) {
numberOfPointSinceLastDelta += 1;
} else {
saveTimestampOffsetForPoint(p, delta);
}
} else {
saveTimestampOffsetForPoint(p, delta);
}
points.addP(point.build());
//set current as former previous date
previousDate = currentTimestamp;
previousDelta = delta;
previousDrift = drift;
index++;
}
return points.build().toByteArray();
} | /**
* Converts the given iterator of our point class to protocol buffers and compresses (gzip) it.
*
* @param metricDataPoints - the list with points (expected te be already sorted !)
* @return the serialized points as byte[]
*/ | Converts the given iterator of our point class to protocol buffers and compresses (gzip) it.
@param metricDataPoints - the list with points (expected te be already sorted !)
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points.addP(point.build());
previousDate = currentTimestamp;
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}
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1eb6226ff5078bfa935d00048560c67cde6a060d | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/compaction/protobuf/PointsCompressorWithQuality.java | [
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//check the deltas
long diff = Math.abs(offset - previousDelta);
return (diff <= ddcThreshold);
} | /**
* Check if two deltas are almost equals.
* <p>
* abs(offset - previousOffset) <= aberration
* </p>
*
* @param offset the current offset
* @param ddcThreshold the threshold for equality
* @return true if set offsets are equals using the threshold
*/ | Check if two deltas are almost equals.
abs(offset - previousOffset) <= aberration
@param offset the current offset
@param ddcThreshold the threshold for equality
@return true if set offsets are equals using the threshold | [
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a1f504aca20150703c00b2822f56c13ecfbfad99 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/promql/router/GrafanaPromQLDatasourcePluginApiImpl.java | [
"Apache-2.0"
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public void rules(RoutingContext context) {
JsonObject response = new JsonObject()
.put(STATUS, SUCCESS)
.put(DATA, "");
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.setStatusCode(HttpResponseStatus.OK.code())
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* The /rules API endpoint returns a list of alerting and recording rules that are currently loaded.
* In addition it returns the currently active alerts fired by the Prometheus instance of each alerting rule.
*
*
* <pre>
* GET /api/v1/rules
* </pre>
* <p>
* URL query parameters: - type=alert|record: return only the alerting rules (e.g. type=alert) or
* the recording rules (e.g. type=record). When the parameter is absent or empty, no filtering is done.
*
*
* <pre>
* $ curl http://localhost:9090/api/v1/rules
*
* {
* "data": {
* "groups": [
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* {
* "alerts": [
* {
* "activeAt": "2018-07-04T20:27:12.60602144+02:00",
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* "duration": 600,
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* "query": "job:request_latency_seconds:mean5m{job=\"myjob\"} > 0.5",
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* "name": "job:http_inprogress_requests:sum",
* "query": "sum by (job) (http_inprogress_requests)",
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* "file": "/rules.yaml",
* "interval": 60,
* "name": "example"
* }
* ]
* },
* "status": "success"
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* </pre>
*
* @param context
*/ | The /rules API endpoint returns a list of alerting and recording rules that are currently loaded.
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9081aeeb7694e96ee9157514ff006a0f812a9410 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/query/QueryFunctions.java | [
"Apache-2.0"
] | Java | merge | null | public void merge(QueryFunctions functions) {
aggregations.addAll(functions.aggregations);
transformations.addAll(functions.transformations);
analyses.addAll(functions.analyses);
encodings.addAll(functions.encodings);
} | /**
* @param functions the other query functions
*/ | @param functions the other query functions | [
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aggregations.addAll(functions.aggregations);
transformations.addAll(functions.transformations);
analyses.addAll(functions.analyses);
encodings.addAll(functions.encodings);
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4d8d89d660d4d376ea9fea96979598328e6ce978 | Hurence/historian | historian-server/src/integration-test/java/com/hurence/webapiservice/http/api/ingestion/ImportCsvEndPointIT.java | [
"Apache-2.0"
] | Java | testIdemPotence | null | @Test
@Timeout(value = 5, timeUnit = TimeUnit.SECONDS)
public void testIdemPotence(Vertx vertx, VertxTestContext testContext) {
String pathCsvFile = AssertResponseGivenRequestHelper.class.getResource("/http/ingestion/csv/onemetric-3points/csvfiles/datapoints.csv").getFile();
MultipartForm multipartForm = MultipartForm.create()
.textFileUpload("my_csv_file", "datapoints.csv", pathCsvFile, "text/csv");
List<RequestResponseConfI<?>> confs = Arrays.asList(
new MultipartRequestResponseConf<JsonObject>(IMPORT_CSV_ENDPOINT,
multipartForm,
"/http/ingestion/csv/onemetric-3points/testImport/expectedResponse.json",
CREATED, StatusMessages.CREATED,
BodyCodec.jsonObject(), vertx),
new MultipartRequestResponseConf<JsonObject>(IMPORT_CSV_ENDPOINT,
multipartForm,
"/http/ingestion/csv/onemetric-3points/testImport/expectedResponse.json",
CREATED, StatusMessages.CREATED,
BodyCodec.jsonObject(), vertx),
new RequestResponseConf<>(HURENCE_DATASOURCE_GRAFANA_QUERY_API_ENDPOINT,
"/http/ingestion/csv/onemetric-3points/testQuery/request.json",
"/http/ingestion/csv/onemetric-3points/testQuery/expectedResponse.json",
OK, StatusMessages.OK,
BodyCodec.jsonArray(), vertx)
);
AssertResponseGivenRequestHelper
.assertRequestGiveResponseFromFileAndFinishTest(webClient, testContext, confs);
} | /*
Import should be idem potent. This can be easily done by setting the id of the chunk as a hash of all parameters.
*/ | Import should be idem potent. This can be easily done by setting the id of the chunk as a hash of all parameters. | [
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@Timeout(value = 5, timeUnit = TimeUnit.SECONDS)
public void testIdemPotence(Vertx vertx, VertxTestContext testContext) {
String pathCsvFile = AssertResponseGivenRequestHelper.class.getResource("/http/ingestion/csv/onemetric-3points/csvfiles/datapoints.csv").getFile();
MultipartForm multipartForm = MultipartForm.create()
.textFileUpload("my_csv_file", "datapoints.csv", pathCsvFile, "text/csv");
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);
AssertResponseGivenRequestHelper
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
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double integral = simpsonIntegrator.integrate(Integer.MAX_VALUE, x -> timeSeries.getValue((int) x), 0, timeSeries.size() - 1);
functionValueMap.add(this, integral);
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* Calculates the integral of the given time series using the simpson integrator of commons math lib
*
* @param timeSeries the time series as argument for the chronix function
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22eefc6d94069b986a903d28b32ccae24c5d4806 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/analyse/Frequency.java | [
"Apache-2.0"
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
LongList timestamps = timeSeries.getTimestamps();
final List<Long> currentWindow = new ArrayList<>();
final List<Integer> windowCount = new ArrayList<>();
//start and end of the window
long windowStart = timestamps.get(0);
//calculate the end
long windowEnd = Instant.ofEpochMilli(windowStart).plus(windowSize, ChronoUnit.MINUTES).toEpochMilli();
for (int i = 1; i < timeSeries.size(); i++) {
long current = timestamps.get(i);
//Add the occurrence of the current window.
if (current > windowStart - 1 && current < (windowEnd)) {
currentWindow.add(current);
} else {
//We reached the end. Lets add it to the window count
windowCount.add(currentWindow.size());
windowStart = current;
windowEnd = Instant.ofEpochMilli(windowStart).plus(windowSize, ChronoUnit.MINUTES).toEpochMilli();
currentWindow.clear();
}
}
//we are done, add the last window
windowCount.add(currentWindow.size());
//check deltas
for (int i = 1; i < windowCount.size(); i++) {
int former = windowCount.get(i - 1);
int current = windowCount.get(i);
//The threshold
int result = current - former;
if (result >= windowThreshold) {
//add the time series as there are more points per window than the threshold
functionValueMap.add(this, true, null);
return;
}
}
//Nothing bad found
functionValueMap.add(this, false, null);
} | /**
* The frequency detector splits a time series into windows, counts the data points, and checks if the delta
* between two windows is above a predefined threshold.
* <p>
* The frequency detector splits a time series using the constructor argument.
*
* @param functionValueMap
* @return true if the time series has a pair of windows 1 and 2 where 2 has th
*/ | The frequency detector splits a time series into windows, counts the data points, and checks if the delta
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The frequency detector splits a time series using the constructor argument.
@param functionValueMap
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long windowStart = timestamps.get(0);
long windowEnd = Instant.ofEpochMilli(windowStart).plus(windowSize, ChronoUnit.MINUTES).toEpochMilli();
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currentWindow.clear();
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windowCount.add(currentWindow.size());
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int former = windowCount.get(i - 1);
int current = windowCount.get(i);
int result = current - former;
if (result >= windowThreshold) {
functionValueMap.add(this, true, null);
return;
}
}
functionValueMap.add(this, false, null);
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2a650e3544ed8394e9c753418b9458f173d6e213 | Hurence/historian | historian-scraper/src/main/java/com/hurence/historian/scraper/walkers/PrometheusMetricsWalker.java | [
"Apache-2.0"
] | Java | buildLabelListString | String | default String buildLabelListString(Map<String, String> labels, String prefix, String suffix) {
if (prefix == null) {
prefix = "";
}
if (suffix == null) {
suffix = "";
}
if (labels == null) {
return String.format("%s%s", prefix, suffix);
}
StringBuilder str = new StringBuilder("");
for (Map.Entry<String, String> pair : labels.entrySet()) {
if (str.length() > 0) {
str.append(",");
}
str.append(pair.getKey()).append("=").append(pair.getValue());
}
return String.format("%s%s%s", prefix, str, suffix);
} | /**
* Convienence method that takes the given label list and returns a string in the form of
* "labelName1=labelValue1,labelName2=labelValue2,..."
*
* @param labels the label list
* @param prefix if not null, these characters will prefix the label list
* @param suffix if not null, these characters will suffix the label list
* @return the string form of the labels, optionally prefixed and suffixed
*/ | Convienence method that takes the given label list and returns a string in the form of
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"params": [
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"type": "Map<String, String>",
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0e41a765a1b40c5118115a2184009f1754702c37 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/sax/SaxConverter.java | [
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double[] valuePoints = points.stream().mapToDouble(x -> x).toArray();
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char[] saxString = SaxConverter.saxProcessor
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return new String(saxString);
} catch (net.seninp.jmotif.sax.SAXException e) {
logger.warn("Error while trying to calculate sax string for chunk", e.getMessage());
return e.getMessage();
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46c598c0f9b69d2ae643b5a10d1b05a76e176bbc | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/analyse/Outlier.java | [
"Apache-2.0"
] | Java | execute | null | @Override
public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
if (timeSeries.isEmpty()) {
functionValueMap.add(this, false, null);
return;
}
DoubleList points = timeSeries.getValues();
//Calculate the percentiles
double q1 = Percentile.evaluate(points, .25);
double q3 = Percentile.evaluate(points, .75);
//Calculate the threshold
double threshold = (q3 - q1) * 1.5 + q3;
//filter the values, if one outlier is found, we can return
for (int i = 0; i < points.size(); i++) {
double point = points.get(i);
if (point > threshold) {
functionValueMap.add(this, true, null);
return;
}
}
functionValueMap.add(this, false, null);
} | /**
* Detects outliers using the default box plot implementation.
* An outlier every value that is above (q3-q1)*1.5*q3 where qN is the nth percentile
*
* @param functionValueMap
*/ | Detects outliers using the default box plot implementation.
An outlier every value that is above (q3-q1)*1.5*q3 where qN is the nth percentile
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return;
}
DoubleList points = timeSeries.getValues();
double q1 = Percentile.evaluate(points, .25);
double q3 = Percentile.evaluate(points, .75);
double threshold = (q3 - q1) * 1.5 + q3;
for (int i = 0; i < points.size(); i++) {
double point = points.get(i);
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functionValueMap.add(this, false, null);
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162896208d782cc59de491b5aae88a3689746e4a | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/analytics/AnalyticsApiImpl.java | [
"Apache-2.0"
] | Java | clustering | null | @Override
@Experimental
public void clustering(RoutingContext context) {
final long start = System.currentTimeMillis();
// parse request
final ClusteringRequest request;
try {
JsonObject requestBody = context.getBodyAsJson();
request = ClusteringRequest.fromJson(requestBody);
} catch (Exception ex) {
LOGGER.error("error parsing request", ex);
context.response().setStatusCode(BAD_REQUEST);
context.response().setStatusMessage(StatusMessages.BAD_REQUEST);
context.response().putHeader("Content-Type", "application/json");
context.response().end(ErrorMsgHelper.createMsgError("Error parsing request !", ex));
return;
}
// get the chunks corresponding to request params
service.rxGetTimeSeriesChunk(request.toParams())
.doOnError(ex -> {
LOGGER.error("Unexpected error : ", ex);
context.response().setStatusCode(500);
context.response().putHeader("Content-Type", "text/plain");
context.response().end(ex.getMessage());
})
.doOnSuccess(response -> {
// convert the json response into ChunkClusterable objects
List<ChunkClusterable> chunkWrappers = response.getJsonArray("chunks").stream()
.map(metric -> {
JsonObject el = (JsonObject) metric;
Map<String, String> tags = new HashMap<String, String>() {{
put(SOLR_COLUMN_NAME, el.getString(SOLR_COLUMN_NAME));
put(SOLR_COLUMN_METRIC_KEY, el.getString(SOLR_COLUMN_METRIC_KEY));
put(SOLR_COLUMN_AVG, String.valueOf(el.getDouble(SOLR_COLUMN_AVG)));
}};
if (el.getDouble("chunk_avg") != 0 /*&& el.getString(CHUNK_SAX).length() == 20*/)
return new ChunkWrapper(
el.getString(SOLR_COLUMN_ID),
el.getString(SOLR_COLUMN_SAX),
tags);
else
return null;
})
.filter(Objects::nonNull)
.collect(Collectors.toList());
if (chunkWrappers.size() != 0) {
// proceed to clustering
ChunksClustering clustering = KMeansChunksClustering.builder()
.k(request.getK())
.maxIterations(request.getMaxIterations())
.distance(KMeansChunksClustering.Distance.DEFAULT)
.build();
clustering.cluster(chunkWrappers);
}
// build Json response
Map<String, JsonObject> clustersJson = new HashMap<>();
chunkWrappers.forEach(chunkClusterable -> {
String clusterId = chunkClusterable.getTags().get("sax_cluster");
// create a json cluster object if needed
if (!clustersJson.containsKey(clusterId)) {
clustersJson.put(clusterId,
new JsonObject()
.put("sax_cluster", clusterId)
.put("cluster_size", 0)
.put("chunks", new JsonArray()));
}
// add point to the cluster
JsonObject jsonClusterObject = clustersJson.get(clusterId);
jsonClusterObject.getJsonArray("chunks")
.add(new JsonObject()
.put(SOLR_COLUMN_ID, chunkClusterable.getId())
.put(SOLR_COLUMN_SAX, chunkClusterable.getSax())
.put(SOLR_COLUMN_METRIC_KEY, chunkClusterable.getTags().get(SOLR_COLUMN_METRIC_KEY))
.put(SOLR_COLUMN_AVG, chunkClusterable.getTags().get(SOLR_COLUMN_AVG))
);
// update size of the cluster
jsonClusterObject.put("cluster_size", jsonClusterObject.getJsonArray("chunks").size());
});
JsonArray clusters = new JsonArray();
clustersJson.values().forEach(clusters::add);
JsonObject finalResponse = new JsonObject()
.put("clustering.algo", "kmeans")
.put("k", request.getK())
.put("day", request.getDay())
.put("maxIterations", request.getMaxIterations())
.put("elapsed_time", System.currentTimeMillis() - start)
.put("clusters", clusters);
// send back the http response
context.response().setStatusCode(OK);
context.response().putHeader("Content-Type", "application/json");
context.response().end(finalResponse.encodePrettily());
}).subscribe();
} | /**
* Build a cluster list of chunks based on sax strings
* <p>
* curl --location --request GET 'localhost:8080/api/historian/v0/analytics/clustering' \
* --header 'Content-Type: application/json' \
* --data-raw '{
* "names": ["ack"],
* "day": "2019-11-28",
* "k": 5
* }'
* <p>
* return
* <p>
* {
* "clustering.algo": "kmeans",
* "k": 5,
* "day": "2019-11-28",
* "maxIterations": 100,
* "elapsed_time": 358,
* "clusters": [
* {
* "sax_cluster": "0",
* "cluster_size": 1,
* "chunks": [
* {
* "id": "5ba8f698c82ed652b034d22f04db844ea43531536d19150ccc0071e482791bf4",
* "chunk_sax": "dddddgdddddddddddddd",
* "metric_key": "ack|crit$null|metric_id$621ba06c-d980-4b9f-9018-8688ff17f252|warn$null",
* "chunk_avg": "7.352941176470604E-4"
* }
* ]
* },
* ...
* ]
* }
*
* @param context the current vert.x RoutingContext
*/ |
@param context the current vert.x RoutingContext | [
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@Experimental
public void clustering(RoutingContext context) {
final long start = System.currentTimeMillis();
final ClusteringRequest request;
try {
JsonObject requestBody = context.getBodyAsJson();
request = ClusteringRequest.fromJson(requestBody);
} catch (Exception ex) {
LOGGER.error("error parsing request", ex);
context.response().setStatusCode(BAD_REQUEST);
context.response().setStatusMessage(StatusMessages.BAD_REQUEST);
context.response().putHeader("Content-Type", "application/json");
context.response().end(ErrorMsgHelper.createMsgError("Error parsing request !", ex));
return;
}
service.rxGetTimeSeriesChunk(request.toParams())
.doOnError(ex -> {
LOGGER.error("Unexpected error : ", ex);
context.response().setStatusCode(500);
context.response().putHeader("Content-Type", "text/plain");
context.response().end(ex.getMessage());
})
.doOnSuccess(response -> {
List<ChunkClusterable> chunkWrappers = response.getJsonArray("chunks").stream()
.map(metric -> {
JsonObject el = (JsonObject) metric;
Map<String, String> tags = new HashMap<String, String>() {{
put(SOLR_COLUMN_NAME, el.getString(SOLR_COLUMN_NAME));
put(SOLR_COLUMN_METRIC_KEY, el.getString(SOLR_COLUMN_METRIC_KEY));
put(SOLR_COLUMN_AVG, String.valueOf(el.getDouble(SOLR_COLUMN_AVG)));
}};
if (el.getDouble("chunk_avg") != 0 /*&& el.getString(CHUNK_SAX).length() == 20*/)
return new ChunkWrapper(
el.getString(SOLR_COLUMN_ID),
el.getString(SOLR_COLUMN_SAX),
tags);
else
return null;
})
.filter(Objects::nonNull)
.collect(Collectors.toList());
if (chunkWrappers.size() != 0) {
ChunksClustering clustering = KMeansChunksClustering.builder()
.k(request.getK())
.maxIterations(request.getMaxIterations())
.distance(KMeansChunksClustering.Distance.DEFAULT)
.build();
clustering.cluster(chunkWrappers);
}
Map<String, JsonObject> clustersJson = new HashMap<>();
chunkWrappers.forEach(chunkClusterable -> {
String clusterId = chunkClusterable.getTags().get("sax_cluster");
if (!clustersJson.containsKey(clusterId)) {
clustersJson.put(clusterId,
new JsonObject()
.put("sax_cluster", clusterId)
.put("cluster_size", 0)
.put("chunks", new JsonArray()));
}
JsonObject jsonClusterObject = clustersJson.get(clusterId);
jsonClusterObject.getJsonArray("chunks")
.add(new JsonObject()
.put(SOLR_COLUMN_ID, chunkClusterable.getId())
.put(SOLR_COLUMN_SAX, chunkClusterable.getSax())
.put(SOLR_COLUMN_METRIC_KEY, chunkClusterable.getTags().get(SOLR_COLUMN_METRIC_KEY))
.put(SOLR_COLUMN_AVG, chunkClusterable.getTags().get(SOLR_COLUMN_AVG))
);
jsonClusterObject.put("cluster_size", jsonClusterObject.getJsonArray("chunks").size());
});
JsonArray clusters = new JsonArray();
clustersJson.values().forEach(clusters::add);
JsonObject finalResponse = new JsonObject()
.put("clustering.algo", "kmeans")
.put("k", request.getK())
.put("day", request.getDay())
.put("maxIterations", request.getMaxIterations())
.put("elapsed_time", System.currentTimeMillis() - start)
.put("clusters", clusters);
context.response().setStatusCode(OK);
context.response().putHeader("Content-Type", "application/json");
context.response().end(finalResponse.encodePrettily());
}).subscribe();
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] | Build a cluster list of chunks based on sax strings
<p>
curl --location --request GET 'localhost:8080/api/historian/v0/analytics/clustering' \
--header 'Content-Type: application/json' \
--data-raw '{
"names": ["ack"],
"day": "2019-11-28",
"k": 5
}'
<p>
return
<p>
{
"clustering.algo": "kmeans",
"k": 5,
"day": "2019-11-28",
"maxIterations": 100,
"elapsed_time": 358,
"clusters": [
{
"sax_cluster": "0",
"cluster_size": 1,
"chunks": [
{
"id": "5ba8f698c82ed652b034d22f04db844ea43531536d19150ccc0071e482791bf4",
"chunk_sax": "dddddgdddddddddddddd",
"metric_key": "ack|crit$null|metric_id$621ba06c-d980-4b9f-9018-8688ff17f252|warn$null",
"chunk_avg": "7.352941176470604E-4"
}
]
},
...
]
} | [
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"// update size of the cluster",
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] | [
{
"param": "context",
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}
] | {
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fb2a430933d4c9bd4cff0eef263b04bca54cdb51 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/timeseries/aggs/AbstractAggsCalculator.java | [
"Apache-2.0"
] | Java | calculNeededAggSet | null | private Set<AGG> calculNeededAggSet() {
Set<AGG> neededAggSet = new HashSet<>(askedAggSet);
if (neededAggSet.remove(AVG)){
neededAggSet.add(SUM);
neededAggSet.add(COUNT);
}
return neededAggSet;
} | /**
*
* @return list of aggs needed to be calculated. Indeed some aggs can be calculated using others.
*/ | @return list of aggs needed to be calculated. Indeed some aggs can be calculated using others. | [
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] | private Set<AGG> calculNeededAggSet() {
Set<AGG> neededAggSet = new HashSet<>(askedAggSet);
if (neededAggSet.remove(AVG)){
neededAggSet.add(SUM);
neededAggSet.add(COUNT);
}
return neededAggSet;
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"returns": [],
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"params": [],
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fb2a430933d4c9bd4cff0eef263b04bca54cdb51 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/timeseries/aggs/AbstractAggsCalculator.java | [
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if (!elementsToAgg.isEmpty())
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case SUM:
calculateSum(elementsToAgg);
break;
case MIN:
calculateMin(elementsToAgg);
break;
case MAX:
calculateMax(elementsToAgg);
break;
case COUNT:
calculateCount(elementsToAgg);
break;
default:
throw new IllegalStateException("Unsupported aggregation: " + agg);
}
});
} | /**
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* @param elementsToAgg
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a72a973e0db4916c8aa1cff6a3b2ab5e2a928f48 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/compaction/protobuf/ProtoBufTimeSeriesCurrentSerializer.java | [
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, long from, long to, byte[] chunkOfPoints) throws IOException, IllegalArgumentException {
try {
return ProtoBufTimeSeriesWithQualitySerializer.from(decompressedBytes, timeSeriesStart, timeSeriesEnd, from, to);
} catch (IllegalArgumentException ex) {
LOGGER.trace("could not uncompress using algo with quality will try with old algorithm");
/*decompressedBytes.reset();*/
InputStream newDecompressedBytes = Compression.decompressToStream(chunkOfPoints);
return ProtoBufTimeSeriesSerializer.from(newDecompressedBytes, timeSeriesStart, timeSeriesEnd, from, to);
}
} | /**
* return the uncompressed points (compressed byte array)
* The quality value in compressedByte is supposed to be -1 if there no quality. This
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*
* @param decompressedBytes the compressed bytes holding the data points
* @param timeSeriesStart the start of the time series
* @param timeSeriesEnd the end of the time series
* @param from including points from
* @param to including points to
*/ | return the uncompressed points (compressed byte array)
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45567e54751340eeadd3f0074b875486fc9a669d | Hurence/historian | logisland-timeseries/src/main/java/com/hurence/logisland/record/TimeSeriesRecord.java | [
"Apache-2.0"
] | Java | computeAndSetMetrics | null | public void computeAndSetMetrics(String[] metric) {
// init metric functions
TypeFunctions functions = QueryEvaluator.extractFunctions(metric);
final List<ChronixTransformation> transformations = functions.getTypeFunctions(new MetricType()).getTransformations();
final List<ChronixAggregation> aggregations = functions.getTypeFunctions(new MetricType()).getAggregations();
final List<ChronixAnalysis> analyses = functions.getTypeFunctions(new MetricType()).getAnalyses();
final List<ChronixEncoding> encodings = functions.getTypeFunctions(new MetricType()).getEncodings();
FunctionValueMap functionValueMap = new FunctionValueMap(aggregations.size(), analyses.size(), transformations.size(), encodings.size());
MetricTimeSeries timeSeries = this.getTimeSeries();
functionValueMap.resetValues();
transformations.forEach(transfo -> transfo.execute(timeSeries, functionValueMap));
analyses.forEach(analyse -> analyse.execute(timeSeries, functionValueMap));
aggregations.forEach(aggregation -> aggregation.execute(timeSeries, functionValueMap));
encodings.forEach(encoding -> encoding.execute(timeSeries, functionValueMap));
for (int i = 0; i < functionValueMap.sizeOfAggregations(); i++) {
String name = functionValueMap.getAggregation(i).getQueryName();
double value = functionValueMap.getAggregationValue(i);
this.setField("chunk_" + name, FieldType.DOUBLE, value);
}
for (int i = 0; i < functionValueMap.sizeOfAnalyses(); i++) {
String name = functionValueMap.getAnalysis(i).getQueryName();
boolean value = functionValueMap.getAnalysisValue(i);
this.setField("chunk_" + name, FieldType.BOOLEAN, value);
}
for (int i = 0; i < functionValueMap.sizeOfEncodings(); i++) {
String name = functionValueMap.getEncoding(i).getQueryName();
String value = functionValueMap.getEncodingValue(i);
this.setField("chunk_" + name, FieldType.STRING, value);
}
} | /**
* Converts a list of records to a timeseries chunk
*
* @return
*/ | Converts a list of records to a timeseries chunk
@return | [
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TypeFunctions functions = QueryEvaluator.extractFunctions(metric);
final List<ChronixTransformation> transformations = functions.getTypeFunctions(new MetricType()).getTransformations();
final List<ChronixAggregation> aggregations = functions.getTypeFunctions(new MetricType()).getAggregations();
final List<ChronixAnalysis> analyses = functions.getTypeFunctions(new MetricType()).getAnalyses();
final List<ChronixEncoding> encodings = functions.getTypeFunctions(new MetricType()).getEncodings();
FunctionValueMap functionValueMap = new FunctionValueMap(aggregations.size(), analyses.size(), transformations.size(), encodings.size());
MetricTimeSeries timeSeries = this.getTimeSeries();
functionValueMap.resetValues();
transformations.forEach(transfo -> transfo.execute(timeSeries, functionValueMap));
analyses.forEach(analyse -> analyse.execute(timeSeries, functionValueMap));
aggregations.forEach(aggregation -> aggregation.execute(timeSeries, functionValueMap));
encodings.forEach(encoding -> encoding.execute(timeSeries, functionValueMap));
for (int i = 0; i < functionValueMap.sizeOfAggregations(); i++) {
String name = functionValueMap.getAggregation(i).getQueryName();
double value = functionValueMap.getAggregationValue(i);
this.setField("chunk_" + name, FieldType.DOUBLE, value);
}
for (int i = 0; i < functionValueMap.sizeOfAnalyses(); i++) {
String name = functionValueMap.getAnalysis(i).getQueryName();
boolean value = functionValueMap.getAnalysisValue(i);
this.setField("chunk_" + name, FieldType.BOOLEAN, value);
}
for (int i = 0; i < functionValueMap.sizeOfEncodings(); i++) {
String name = functionValueMap.getEncoding(i).getQueryName();
String value = functionValueMap.getEncodingValue(i);
this.setField("chunk_" + name, FieldType.STRING, value);
}
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f0a05564663b1b1f3ba51496df3b51cdaaaa604b | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/compaction/protobuf/PointsUnCompressorWithQuality.java | [
"Apache-2.0"
] | Java | from | null | public TreeSet<Measure> from(final InputStream decompressedBytes, long timeSeriesStart, long timeSeriesEnd, long from, long to) throws IOException, IllegalArgumentException {
LOGGER.debug("from - timeSeriesStart={} timeSeriesEnd={} to={} from={}", timeSeriesStart, timeSeriesEnd, to, from);
if (from == -1 || to == -1) {
throw new IllegalArgumentException("FROM or TO have to be >= 0");
}
//if to is left of the time series, we have no Points to return
if (to < timeSeriesStart) {
LOGGER.debug("error to={} is lower than timeSeriesStart={}", to, timeSeriesStart);
return new TreeSet<>();
}
//if from is greater to, we have nothing to return
if (from > to) {
LOGGER.debug("error from={} is greater than to={}", from, to);
return new TreeSet<>();
}
//if from is right of the time series we have nothing to return
if (from > timeSeriesEnd) {
LOGGER.debug("error from={} is greater than timeSeriesEnd={}", from, timeSeriesEnd);
return new TreeSet<>();
}
try {
ChunkProtocolBuffers.Chunk protocolBufferPoints = ChunkProtocolBuffers.Chunk.parseFrom(decompressedBytes);
List<ChunkProtocolBuffers.Point> pList = protocolBufferPoints.getPList();
List<ChunkProtocolBuffers.Quality> qList = protocolBufferPoints.getQList();
ListIterator<ChunkProtocolBuffers.Quality> qListIterator = qList.listIterator();
if (!qListIterator.hasNext()) {
//Then this means this is an old version without quality
throw new IllegalArgumentException("qList should not be empty. Bad or icompatible compressedBytes !");
}
TreeSet<Measure> measures = new TreeSet<>();
int size = pList.size();
currentQuality = getQuality(qList, qListIterator.next());
Optional<Integer> indexForNextQuality = findIndexForNextQuality(qListIterator);
calculatedPointDate = timeSeriesStart;
setLastOffsetAccordingToDdcThreshold(protocolBufferPoints);
for (int i = 0; i < size; i++) {
ChunkProtocolBuffers.Point p = pList.get(i);
//Decode the time for Point that is not the first
if (i > 0) {
lastOffSet = getOffset(p).orElse(lastOffSet);
calculatedPointDate += lastOffSet;
}
if (indexForNextQuality.isPresent() && indexForNextQuality.get() == i) {
currentQuality = getQuality(qList, qListIterator.next());
indexForNextQuality = findIndexForNextQuality(qListIterator);
}
//only add the Point if it is within the date
if (calculatedPointDate >= from) {
//Check if the Point refers to an index
if (calculatedPointDate > to) {
LOGGER.debug("remaining {} Points are skipped after t={}", size - i, calculatedPointDate);
return measures;
}
double value = getValue(pList, p);
if (currentQuality == -1f) {
measures.add(Measure.fromValue(calculatedPointDate, value));
} else {
measures.add(Measure.fromValueAndQuality(calculatedPointDate, value, currentQuality));
}
} else {
LOGGER.debug("not adding Point at t={}", calculatedPointDate);
}
}
return measures;
} catch (IOException e) {
LOGGER.info("Could not decode protocol buffers Points");
throw e;
}
} | /**
* return the uncompressed Points (compressed byte array)
* The quality value in compressedByte is supposed to be -1 if there no quality. This
* is safe because we expect quality to be a float between 0 and 1 if it is present.
*
* @param decompressedBytes the compressed bytes holding the data Points
* @param timeSeriesStart the start of the time series
* @param timeSeriesEnd the end of the time series
* @param from including Points from
* @param to including Points to
*/ | return the uncompressed Points (compressed byte array)
The quality value in compressedByte is supposed to be -1 if there no quality. This
is safe because we expect quality to be a float between 0 and 1 if it is present.
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LOGGER.debug("from - timeSeriesStart={} timeSeriesEnd={} to={} from={}", timeSeriesStart, timeSeriesEnd, to, from);
if (from == -1 || to == -1) {
throw new IllegalArgumentException("FROM or TO have to be >= 0");
}
if (to < timeSeriesStart) {
LOGGER.debug("error to={} is lower than timeSeriesStart={}", to, timeSeriesStart);
return new TreeSet<>();
}
if (from > to) {
LOGGER.debug("error from={} is greater than to={}", from, to);
return new TreeSet<>();
}
if (from > timeSeriesEnd) {
LOGGER.debug("error from={} is greater than timeSeriesEnd={}", from, timeSeriesEnd);
return new TreeSet<>();
}
try {
ChunkProtocolBuffers.Chunk protocolBufferPoints = ChunkProtocolBuffers.Chunk.parseFrom(decompressedBytes);
List<ChunkProtocolBuffers.Point> pList = protocolBufferPoints.getPList();
List<ChunkProtocolBuffers.Quality> qList = protocolBufferPoints.getQList();
ListIterator<ChunkProtocolBuffers.Quality> qListIterator = qList.listIterator();
if (!qListIterator.hasNext()) {
throw new IllegalArgumentException("qList should not be empty. Bad or icompatible compressedBytes !");
}
TreeSet<Measure> measures = new TreeSet<>();
int size = pList.size();
currentQuality = getQuality(qList, qListIterator.next());
Optional<Integer> indexForNextQuality = findIndexForNextQuality(qListIterator);
calculatedPointDate = timeSeriesStart;
setLastOffsetAccordingToDdcThreshold(protocolBufferPoints);
for (int i = 0; i < size; i++) {
ChunkProtocolBuffers.Point p = pList.get(i);
if (i > 0) {
lastOffSet = getOffset(p).orElse(lastOffSet);
calculatedPointDate += lastOffSet;
}
if (indexForNextQuality.isPresent() && indexForNextQuality.get() == i) {
currentQuality = getQuality(qList, qListIterator.next());
indexForNextQuality = findIndexForNextQuality(qListIterator);
}
if (calculatedPointDate >= from) {
if (calculatedPointDate > to) {
LOGGER.debug("remaining {} Points are skipped after t={}", size - i, calculatedPointDate);
return measures;
}
double value = getValue(pList, p);
if (currentQuality == -1f) {
measures.add(Measure.fromValue(calculatedPointDate, value));
} else {
measures.add(Measure.fromValueAndQuality(calculatedPointDate, value, currentQuality));
}
} else {
LOGGER.debug("not adding Point at t={}", calculatedPointDate);
}
}
return measures;
} catch (IOException e) {
LOGGER.info("Could not decode protocol buffers Points");
throw e;
}
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] | Java | isValidDate | null | public static boolean isValidDate(
int year, int month, int day, int hour, int minute, int second)
{
try {
getValidCalendar(year, month, day, hour, minute, second);
return true;
} catch (IllegalArgumentException e) {
return false;
}
} | /**
* Checks whether the given day, month, year, hour, minute and second combination is a valid
* date or not.
* @param year The year part of the date.
* @param month The month part of the date.
* @param day The day part of the date.
* @param hour The hour part of the date.
* @param minute The minute part of the date.
* @param second The second part of the date.
* @return True if the given day, month, year, hour, minute and second combination is a valid
* date.
*/ | Checks whether the given day, month, year, hour, minute and second combination is a valid
date or not.
@param year The year part of the date.
@param month The month part of the date.
@param day The day part of the date.
@param hour The hour part of the date.
@param minute The minute part of the date.
@param second The second part of the date.
@return True if the given day, month, year, hour, minute and second combination is a valid
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adadb8aea571ab50a6917d8a943dd5f63b13c5c6 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/CalendarUtil.java | [
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] | Java | elapsedTime | null | public static int[] elapsedTime(Calendar before, Calendar after) {
int[] elapsedTime = new int[6];
Calendar clone = (Calendar) before.clone(); // Otherwise changes are been reflected.
elapsedTime[0] = elapsedYears(clone, after);
addYears(clone, elapsedTime[0]);
elapsedTime[1] = elapsedMonths(clone, after);
addMonths(clone, elapsedTime[1]);
elapsedTime[2] = elapsedDays(clone, after);
addDays(clone, elapsedTime[2]);
elapsedTime[3] = elapsedHours(clone, after);
addHours(clone, elapsedTime[3]);
elapsedTime[4] = elapsedMinutes(clone, after);
addMinutes(clone, elapsedTime[4]);
elapsedTime[5] = elapsedSeconds(clone, after);
return elapsedTime;
} | /**
* Calculate the total of elapsed time from years up to seconds between the two given calendars.
* It returns an int array with the elapsed years, months, days, hours, minutes and seconds
* respectively.
* @param before The first calendar with expected date before the second calendar.
* @param after The second calendar with expected date after the first calendar.
* @return The elapsed time between the two given calendars in years, months, days, hours,
* minutes and seconds.
* @throws IllegalArgumentException If the first calendar is dated after the second calendar.
*/ | Calculate the total of elapsed time from years up to seconds between the two given calendars.
It returns an int array with the elapsed years, months, days, hours, minutes and seconds
respectively.
@param before The first calendar with expected date before the second calendar.
@param after The second calendar with expected date after the first calendar.
@return The elapsed time between the two given calendars in years, months, days, hours,
minutes and seconds.
@throws IllegalArgumentException If the first calendar is dated after the second calendar. | [
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int[] elapsedTime = new int[6];
Calendar clone = (Calendar) before.clone();
elapsedTime[0] = elapsedYears(clone, after);
addYears(clone, elapsedTime[0]);
elapsedTime[1] = elapsedMonths(clone, after);
addMonths(clone, elapsedTime[1]);
elapsedTime[2] = elapsedDays(clone, after);
addDays(clone, elapsedTime[2]);
elapsedTime[3] = elapsedHours(clone, after);
addHours(clone, elapsedTime[3]);
elapsedTime[4] = elapsedMinutes(clone, after);
addMinutes(clone, elapsedTime[4]);
elapsedTime[5] = elapsedSeconds(clone, after);
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adadb8aea571ab50a6917d8a943dd5f63b13c5c6 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/CalendarUtil.java | [
"Apache-2.0"
] | Java | elapsed | null | private static int elapsed(Calendar before, Calendar after, int field) {
checkBeforeAfter(before, after);
Calendar clone = (Calendar) before.clone(); // Otherwise changes are been reflected.
int elapsed = -1;
while (!clone.after(after)) {
clone.add(field, 1);
elapsed++;
}
return elapsed;
} | /**
* Retrieve the amount of elapsed time between the two given calendars based on the given
* calendar field as definied in the Calendar constants, e.g. <tt>Calendar.MONTH</tt>.
* @param before The first calendar with expected date before the second calendar.
* @param after The second calendar with expected date after the first calendar.
* @param field The calendar field as definied in the Calendar constants.
* @return The amount of elapsed time between the two given calendars based on the given
* calendar field.
* @throws IllegalArgumentException If the first calendar is dated after the second calendar.
*/ | Retrieve the amount of elapsed time between the two given calendars based on the given
calendar field as definied in the Calendar constants, e.g. | [
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int elapsed = -1;
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adadb8aea571ab50a6917d8a943dd5f63b13c5c6 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/CalendarUtil.java | [
"Apache-2.0"
] | Java | elapsedMillis | null | private static long elapsedMillis(Calendar before, Calendar after, int factor) {
checkBeforeAfter(before, after);
if (factor < 1) {
throw new IllegalArgumentException(
"Division factor '" + factor + "' should not be less than 1.");
}
return (after.getTimeInMillis() - before.getTimeInMillis()) / factor;
} | /**
* Retrieve the amount of elapsed milliseconds between the two given calendars and directly
* divide the outcome by the given factor. E.g.: if the division factor is 1, then you will get
* the elapsed milliseconds unchanged; if the division factor is 1000, then the elapsed
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* @param before The first calendar with expected date before the second calendar.
* @param after The second calendar with expected date after the first calendar.
* @param factor The division factor which to divide the milliseconds with, expected to be at
* least 1.
* @return The amount of elapsed milliseconds between the two given calendars, divided by the
* given factor.
* @throws IllegalArgumentException If the first calendar is dated after the second calendar or
* if the division factor is less than 1.
*/ | Retrieve the amount of elapsed milliseconds between the two given calendars and directly
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adadb8aea571ab50a6917d8a943dd5f63b13c5c6 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/CalendarUtil.java | [
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] | Java | checkBeforeAfter | null | private static void checkBeforeAfter(Calendar before, Calendar after) {
if (before.after(after)) {
throw new IllegalArgumentException(
"The first calendar should be dated before the second calendar.");
}
} | /**
* Check if the first calendar is actually dated before the second calendar.
* @param before The first calendar with expected date before the second calendar.
* @param after The second calendar with expected date after the first calendar.
* @throws IllegalArgumentException If the first calendar is dated after the second calendar.
*/ | Check if the first calendar is actually dated before the second calendar.
@param before The first calendar with expected date before the second calendar.
@param after The second calendar with expected date after the first calendar.
@throws IllegalArgumentException If the first calendar is dated after the second calendar. | [
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97f36300e9f2193933f42359bf1ed84310b9d94e | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/aggregation/First.java | [
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if (timeSeries.size() <= 0) {
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* It first orders the time series.
*
* @param timeSeries the time series
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dac69413f085278b4957dd1a24ce6c83bbfaf03a | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/aggregation/Percentile.java | [
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functionValueMap.add(this, com.hurence.timeseries.functions.math.Percentile.evaluate(timeSeries.getValues(), percentile));
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*
* @param timeSeries the time series
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4f1be986e24285243c421e25f1a2d50148cfb7e0 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/promql/converter/PromQLSynonymLookup.java | [
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originalSynonymMap.clear();
synonymsNamesTagsMap.clear();
originalNameSynonymNameMap.clear();
isEnabled = true;
LOGGER.debug("NameLookup is enabled");
} | /**
* clear the maps and enable the lookup
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originalSynonymMap.clear();
synonymsNamesTagsMap.clear();
originalNameSynonymNameMap.clear();
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4f1be986e24285243c421e25f1a2d50148cfb7e0 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/promql/converter/PromQLSynonymLookup.java | [
"Apache-2.0"
] | Java | loadCacheFromFile | null | public static void loadCacheFromFile(String tagsFilePath, char columnSeparator) throws IOException {
if (isEnabled) {
File file = new File(tagsFilePath);
CsvMapper csvMapper = new CsvMapper();
// load tags synonyms from file
MappingIterator<NameSynonym> tags = csvMapper
.readerWithSchemaFor(NameSynonym.class)
.with(CsvSchema.emptySchema()
.withHeader()
.withColumnSeparator(columnSeparator))
.readValues(file);
// push them into the cache
tags.readAll().forEach(nameSynonym -> {
if (nameSynonym != null && nameSynonym.name != null && nameSynonym.synonym != null)
put(nameSynonym.name, nameSynonym.synonym);
});
LOGGER.info("successfully loaded data from file {}", tagsFilePath);
} else {
LOGGER.debug("NameLookup is disabled : data not loaded from file {}", tagsFilePath);
}
} | /**
* Load a lookup cache from a CSV file.
*
* the file must contain 2 columns name,synonym
*
* T123.P34_PV.F_CV;Temperature{unit="T123", location="plant_34", type="Mesure_PV"}
* T123.P34_SP.F_CV;Temperature{unit="T123", location="plant_34", type="Consigne_SP"}
* T123.P34_OP.F_CV;Temperature{unit="T123", location="plant_34", type="Pour_Cent_OP"}
*
* @param tagsFilePath the path of the CSV file
* @param columnSeparator the separator
* @throws IOException
*/ | Load a lookup cache from a CSV file.
the file must contain 2 columns name,synonym
@param tagsFilePath the path of the CSV file
@param columnSeparator the separator
@throws IOException | [
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put(nameSynonym.name, nameSynonym.synonym);
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LOGGER.info("successfully loaded data from file {}", tagsFilePath);
} else {
LOGGER.debug("NameLookup is disabled : data not loaded from file {}", tagsFilePath);
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dcc592348b3d4e9e3f307d05bf8fe714caf88adb | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/aggregation/Range.java | [
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
//If it is empty, we return NaN
if (timeSeries.size() <= 0) {
functionValueMap.add(this, Double.NaN);
return;
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double[] values = timeSeries.getValuesAsArray();
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double min = values[0];
double max = values[0];
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double current = values[i];
//check for min
if (current < min) {
min = current;
}
//check of max
if (current > max) {
max = current;
}
}
//return the absolute difference
functionValueMap.add(this, Math.abs(max - min));
} | /**
* Gets difference between the maximum and the minimum value.
* It is always a positive value.
*
* @param timeSeries the time series
* @return the average or 0 if the list is empty
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ff1b88a8da69b4e55067c7f875f5f2b5c6eebf55 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/GrafanaSimpleJsonPluginApiImpl.java | [
"Apache-2.0"
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public void search(RoutingContext context) {
final SearchRequestParam request;
try {
JsonObject requestBody = context.getBodyAsJson();
/*
When declaring QueryRequestParser as a static variable, There is a problem parsing parallel requests
at initialization (did not successfully reproduced this in a unit test).//TODO
*/
request = new SearchRequestParser("target", "limit").parseRequest(requestBody);
} catch (Exception ex) {
LOGGER.error("error parsing request", ex);
context.response().setStatusCode(BAD_REQUEST);
context.response().setStatusMessage(StatusMessages.BAD_REQUEST);
context.response().putHeader("Content-Type", "application/json");
context.response().end(ErrorMsgHelper.createMsgError("Error parsing request !", ex));
return;
}
final JsonObject getMetricsParam = buildGetMetricsParam(request);
service.rxGetMetricsName(getMetricsParam)
.doOnError(ex -> {
LOGGER.error("Unexpected error : ", ex);
context.response().setStatusCode(500);
context.response().putHeader("Content-Type", "application/json");
context.response().end(ex.getMessage());
})
.doOnSuccess(metricResponse -> {
JsonArray array = metricResponse.getJsonArray(HistorianServiceFields.METRICS);
context.response().setStatusCode(200);
context.response().putHeader("Content-Type", "application/json");
context.response().end(array.encode());
}).subscribe();
} | /**
* used by the find metric options on the query tab in panels.
* In our case we will return each different '{@value HistorianServiceFields#METRIC}' value in historian.
* @param context
*
* Expected request exemple :
* <pre>
* { target: 'upper_50' }
* </pre>
* response Exemple :
* <pre>
* ["upper_25","upper_50","upper_75","upper_90","upper_95"]
* </pre>
*
* @see <a href="https://grafana.com/grafana/plugins/grafana-simple-json-datasource.">
* https://grafana.com/grafana/plugins/grafana-simple-json-datasource.
* </a>
*/ | used by the find metric options on the query tab in panels.
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ff1b88a8da69b4e55067c7f875f5f2b5c6eebf55 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/GrafanaSimpleJsonPluginApiImpl.java | [
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ff1b88a8da69b4e55067c7f875f5f2b5c6eebf55 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/grafana/GrafanaSimpleJsonPluginApiImpl.java | [
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public void tagValues(RoutingContext context) {
final String keyValue;
try {
keyValue = parseTagValuesRequest(context);
} catch (IllegalArgumentException ex) {
LOGGER.error("error parsing request", ex);
context.response().setStatusCode(BAD_REQUEST);
context.response().setStatusMessage(StatusMessages.BAD_REQUEST);
context.response().putHeader("Content-Type", "application/json");
context.response().end(ErrorMsgHelper.createMsgError("Error parsing request !", ex));
return;
}
final JsonArray response;
switch (keyValue) {
case ALGO_TAG_KEY:
response = getTagValuesOfAlgo();
break;
case BUCKET_SIZE_TAG_KEY:
//TODO verify how to handle integer type
response = new JsonArray()
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.add(new JsonObject().put("text", "250"))
.add(new JsonObject().put("text", "500"));
break;
default:
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context.response().setStatusMessage(StatusMessages.BAD_REQUEST);
context.response().putHeader("Content-Type", "application/json");
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1309cbf05a0dd2162aa988996197a9704be70c0c | Hurence/historian | historian-scraper/src/main/java/com/hurence/historian/scraper/PrometheusMetricsProcessor.java | [
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// tell the walker we are starting
walker.walkStart();
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0ef80fef7a093752c3cf36f86469a46376697e67 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/DateUtil.java | [
"Apache-2.0"
] | Java | utcFirstTimestampOfTodayMs | null | public static long utcFirstTimestampOfTodayMs() {
// Get current time in UTC timezone
Calendar calendar = Calendar.getInstance(TimeZone.getTimeZone("UTC"));
int year = calendar.get(Calendar.YEAR);
int month = calendar.get(Calendar.MONTH);
int day = calendar.get(Calendar.DATE);
calendar.set(year, month, day, 0, 0, 0); // Remove hour, minute and seconds of the day from the time
// This may return 1600387200388 timestamp in milliseconds which is GMT: Friday 18 September 2020 00:00:00.388
long timestampMillis = calendar.getTime().getTime();
// Remove the milliseconds by rounding down to number of seconds and passing again into ms
// 1600387200388 -> 1600387200000
return (timestampMillis / 1000L) * 1000L;
} | /**
* Get the first timestamp (in milliseconds) of the current day in UTC format.
* For instance if you call this method on Friday 18 September 2020 in the middle of the day,
* this should return 1600387200000 which corresponds to GMT: Friday 18 September 2020 00:00:00
* @return
*/ | Get the first timestamp (in milliseconds) of the current day in UTC format.
For instance if you call this method on Friday 18 September 2020 in the middle of the day,
this should return 1600387200000 which corresponds to GMT: Friday 18 September 2020 00:00:00
@return | [
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0ef80fef7a093752c3cf36f86469a46376697e67 | Hurence/historian | historian-resources/src/main/java/com/hurence/historian/date/util/DateUtil.java | [
"Apache-2.0"
] | Java | utcCurrentHourTimestampOfTodayMs | null | public static long utcCurrentHourTimestampOfTodayMs() {
// Get current time in UTC timezone
Calendar calendar = Calendar.getInstance(TimeZone.getTimeZone("UTC"));
int year = calendar.get(Calendar.YEAR);
int month = calendar.get(Calendar.MONTH);
int day = calendar.get(Calendar.DATE);
int hourOfTheDay = calendar.get(Calendar.HOUR_OF_DAY);
calendar.set(year, month, day, hourOfTheDay, 0, 0); // Remove minute and seconds of the day from the time
// This may return 1600387200388 timestamp in milliseconds which is GMT: Friday 18 September 2020 00:00:00.388
long timestampMillis = calendar.getTime().getTime();
// Remove the milliseconds by rounding down to number of seconds and passing again into ms
// 1600387200388 -> 1600387200000
return (timestampMillis / 1000L) * 1000L;
} | /**
* Get the timestamp (in milliseconds) of the current day at the current hour in UTC format.
* For instance if you call this method on Friday 18 September 2020 in the middle of the day,
* this should return 1600387200000 which corresponds to GMT: Friday 18 September 2020 00:00:00
* @return
*/ | Get the timestamp (in milliseconds) of the current day at the current hour in UTC format.
For instance if you call this method on Friday 18 September 2020 in the middle of the day,
this should return 1600387200000 which corresponds to GMT: Friday 18 September 2020 00:00:00
@return | [
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int month = calendar.get(Calendar.MONTH);
int day = calendar.get(Calendar.DATE);
int hourOfTheDay = calendar.get(Calendar.HOUR_OF_DAY);
calendar.set(year, month, day, hourOfTheDay, 0, 0);
long timestampMillis = calendar.getTime().getTime();
return (timestampMillis / 1000L) * 1000L;
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"// Remove the milliseconds by rounding down to number of seconds and passing again into ms",
"// 1600387200388 -> 1600387200000"
] | [] | {
"returns": [],
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382925a307afce97cade782c88e875953febb4c0 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/converter/MeasuresToChunkVersionEVOA0.java | [
"Apache-2.0"
] | Java | computeAndSetAggs | null | private void computeAndSetAggs(Chunk.ChunkBuilder builder, MetricTimeSeries timeSeries) {
Integer sax_alphabet_size = Math.max(Math.min(timeSeries.size(), 7), 2);
Integer sax_string_length = Math.min(timeSeries.size(), 100);
String metricString = String.format(METRIC_STRING, sax_alphabet_size, sax_string_length);
String[] metrics = new String[]{"metric{" + metricString + "}"};
configMetricsCalcul(metrics);
functionValueMap.resetValues();
transformations.forEach(transfo -> transfo.execute(timeSeries, functionValueMap));
analyses.forEach(analyse -> analyse.execute(timeSeries, functionValueMap));
aggregations.forEach(aggregation -> aggregation.execute(timeSeries, functionValueMap));
encodings.forEach(encoding -> encoding.execute(timeSeries, functionValueMap));
for (int i = 0; i < functionValueMap.sizeOfAggregations(); i++) {
String name = functionValueMap.getAggregation(i).getQueryName();
double value = functionValueMap.getAggregationValue(i);
switch (name) {
case "first":
builder.first(value);
break;
case "min":
builder.min(value);
break;
case "max":
builder.max(value);
break;
case "sum":
builder.sum(value);
break;
case "avg":
builder.avg(value);
break;
case "count":
builder.count((long) value);
break;
}
}
for (int i = 0; i < functionValueMap.sizeOfAnalyses(); i++) {
String name = functionValueMap.getAnalysis(i).getQueryName();
boolean value = functionValueMap.getAnalysisValue(i);
switch (name) {
case "trend":
builder.trend(value);
break;
}
}
for (int i = 0; i < functionValueMap.sizeOfEncodings(); i++) {
String name = functionValueMap.getEncoding(i).getQueryName();
String value = functionValueMap.getEncodingValue(i);
switch (name) {
case "sax":
builder.sax(value);
break;
}
}
} | /**
* Converts a list of records to a timeseries chunk
*
* @return
*/ | Converts a list of records to a timeseries chunk
@return | [
"Converts",
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] | private void computeAndSetAggs(Chunk.ChunkBuilder builder, MetricTimeSeries timeSeries) {
Integer sax_alphabet_size = Math.max(Math.min(timeSeries.size(), 7), 2);
Integer sax_string_length = Math.min(timeSeries.size(), 100);
String metricString = String.format(METRIC_STRING, sax_alphabet_size, sax_string_length);
String[] metrics = new String[]{"metric{" + metricString + "}"};
configMetricsCalcul(metrics);
functionValueMap.resetValues();
transformations.forEach(transfo -> transfo.execute(timeSeries, functionValueMap));
analyses.forEach(analyse -> analyse.execute(timeSeries, functionValueMap));
aggregations.forEach(aggregation -> aggregation.execute(timeSeries, functionValueMap));
encodings.forEach(encoding -> encoding.execute(timeSeries, functionValueMap));
for (int i = 0; i < functionValueMap.sizeOfAggregations(); i++) {
String name = functionValueMap.getAggregation(i).getQueryName();
double value = functionValueMap.getAggregationValue(i);
switch (name) {
case "first":
builder.first(value);
break;
case "min":
builder.min(value);
break;
case "max":
builder.max(value);
break;
case "sum":
builder.sum(value);
break;
case "avg":
builder.avg(value);
break;
case "count":
builder.count((long) value);
break;
}
}
for (int i = 0; i < functionValueMap.sizeOfAnalyses(); i++) {
String name = functionValueMap.getAnalysis(i).getQueryName();
boolean value = functionValueMap.getAnalysisValue(i);
switch (name) {
case "trend":
builder.trend(value);
break;
}
}
for (int i = 0; i < functionValueMap.sizeOfEncodings(); i++) {
String name = functionValueMap.getEncoding(i).getQueryName();
String value = functionValueMap.getEncodingValue(i);
switch (name) {
case "sax":
builder.sax(value);
break;
}
}
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@return | [
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] | [] | [
{
"param": "builder",
"type": "Chunk.ChunkBuilder"
},
{
"param": "timeSeries",
"type": "MetricTimeSeries"
}
] | {
"returns": [],
"raises": [],
"params": [
{
"identifier": "builder",
"type": "Chunk.ChunkBuilder",
"docstring": null,
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],
"outlier_params": [],
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d5c7a68db9e5fa2e1c388eeec14ca31799808205 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/aggregation/Median.java | [
"Apache-2.0"
] | Java | execute | null | @Override
public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
// we need a sorted time series
timeSeries.sort();
// If it is empty, we return NaN
if (timeSeries.size() <= 0) {
functionValueMap.add(this, Double.NaN);
return;
}
// Else calculate the analysis value
double[] clonedSeries = timeSeries.getValuesAsArray();
double median;
if (clonedSeries.length % 2 == 0) {
median = (clonedSeries[clonedSeries.length / 2]
+ (double) clonedSeries[clonedSeries.length / 2 - 1]) / 2;
}
else {
median = clonedSeries[clonedSeries.length / 2];
}
functionValueMap.add(this, median);
} | /**
* Computes the median value of timeseries.
*
* @param timeSeries the time series
* @return The median value.
*/ | Computes the median value of timeseries.
@param timeSeries the time series
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double[] clonedSeries = timeSeries.getValuesAsArray();
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4fc9ca3672bbf1dd7a3858e134e36be341a8a1d2 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/query/QueryEvaluator.java | [
"Apache-2.0"
] | Java | extractFunctions | TypeFunctions | public static TypeFunctions extractFunctions(String[] chronixFunctions) {
//The result that contains the asked analyses
final TypeFunctions result = new TypeFunctions();
//Check if there are filter queries with functions
if (isEmpty(chronixFunctions)) {
//return a empty result
return result;
}
//Placeholder for arguments
String[] arguments = new String[0];
//Iterate over all filter queries
for (String unmodifiedAnalysis : chronixFunctions) {
//For each type
String[] types = unmodifiedAnalysis.split(TYPE_SPLITS);
for (String type : types) {
//split the type functions
String typeName = type.substring(0, type.indexOf(TYPE_FUNCTION_START));
ChronixType chronixType = new MetricType();//plugInTypes.getTypeForName(typeName);
if (chronixType == null) {
LOGGER.info("Type {} not supported", typeName);
continue;
}
QueryFunctions resultingTypeFunctions = new QueryFunctions();
String typeFunctions = type.substring(type.indexOf(TYPE_FUNCTION_START)).replaceAll("(\\{|\\})", "");
String[] queryFunctions = typeFunctions.split(FUNCTION_ARGUMENT_SPLITTER);
//run over the functions
for (String queryFunction : queryFunctions) {
//function has an argument
if (queryFunction.contains(AGGREGATION_ARGUMENT_DELIMITER)) {
arguments = extractAggregationParameter(queryFunction);
queryFunction = queryFunction.substring(0, queryFunction.indexOf(AGGREGATION_ARGUMENT_DELIMITER));
}
ChronixFunction chronixFunction = chronixType.getFunction(queryFunction, arguments);
//No function found.
if (chronixFunction == null) {
LOGGER.error("Could not find custom function {} for type {}", queryFunction, typeName);
continue;
}
switch (chronixFunction.getType()) {
case AGGREGATION:
resultingTypeFunctions.addAggregation((ChronixAggregation) chronixFunction);
break;
case TRANSFORMATION:
resultingTypeFunctions.addTransformation((ChronixTransformation) chronixFunction);
break;
case ANALYSIS:
resultingTypeFunctions.addAnalysis((ChronixAnalysis) chronixFunction);
break;
case ENCODING:
resultingTypeFunctions.addEncoding((ChronixEncoding) chronixFunction);
break;
default:
//ignore
break;
}
}
result.setTypeFunctions(chronixType, resultingTypeFunctions);
}
}
return result;
} | /**
* Analyzes the filter queries and parses them for chronix fucntions
*
* @param chronixFunctions the filter queries (solr api)
* @return a set of chronix analyses asked in the filter queries
*/ | Analyzes the filter queries and parses them for chronix fucntions
@param chronixFunctions the filter queries (solr api)
@return a set of chronix analyses asked in the filter queries | [
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final TypeFunctions result = new TypeFunctions();
if (isEmpty(chronixFunctions)) {
return result;
}
String[] arguments = new String[0];
for (String unmodifiedAnalysis : chronixFunctions) {
String[] types = unmodifiedAnalysis.split(TYPE_SPLITS);
for (String type : types) {
String typeName = type.substring(0, type.indexOf(TYPE_FUNCTION_START));
ChronixType chronixType = new MetricType();
if (chronixType == null) {
LOGGER.info("Type {} not supported", typeName);
continue;
}
QueryFunctions resultingTypeFunctions = new QueryFunctions();
String typeFunctions = type.substring(type.indexOf(TYPE_FUNCTION_START)).replaceAll("(\\{|\\})", "");
String[] queryFunctions = typeFunctions.split(FUNCTION_ARGUMENT_SPLITTER);
for (String queryFunction : queryFunctions) {
if (queryFunction.contains(AGGREGATION_ARGUMENT_DELIMITER)) {
arguments = extractAggregationParameter(queryFunction);
queryFunction = queryFunction.substring(0, queryFunction.indexOf(AGGREGATION_ARGUMENT_DELIMITER));
}
ChronixFunction chronixFunction = chronixType.getFunction(queryFunction, arguments);
if (chronixFunction == null) {
LOGGER.error("Could not find custom function {} for type {}", queryFunction, typeName);
continue;
}
switch (chronixFunction.getType()) {
case AGGREGATION:
resultingTypeFunctions.addAggregation((ChronixAggregation) chronixFunction);
break;
case TRANSFORMATION:
resultingTypeFunctions.addTransformation((ChronixTransformation) chronixFunction);
break;
case ANALYSIS:
resultingTypeFunctions.addAnalysis((ChronixAnalysis) chronixFunction);
break;
case ENCODING:
resultingTypeFunctions.addEncoding((ChronixEncoding) chronixFunction);
break;
default:
break;
}
}
result.setTypeFunctions(chronixType, resultingTypeFunctions);
}
}
return result;
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@param chronixFunctions the filter queries (solr api)
@return a set of chronix analyses asked in the filter queries | [
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4fc9ca3672bbf1dd7a3858e134e36be341a8a1d2 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/query/QueryEvaluator.java | [
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if (fqs == null || fqs.length == 0) {
return true;
}
for (String fq : fqs) {
if (!fq.isEmpty()) {
return false;
}
}
return true;
} | /**
* Helper to check if the given string array is empty.
* A string is empty if it is null, or ""
*
* @param fqs the string array
* @return true if empty, otherwise false
*/ | Helper to check if the given string array is empty.
A string is empty if it is null, or ""
@param fqs the string array
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7cb9b1b99fb996c81f53098f6ff5831d5428f11c | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetSeriesHandler.java | [
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// compute date range query
Long from = params.getLong(HistorianServiceFields.FROM);
Long to = params.getLong(HistorianServiceFields.TO);
String dateRange = String.format("%s:[* TO %d] AND %s:[%d TO *]", SOLR_COLUMN_START, to, SOLR_COLUMN_END, from);
// compute tags filter query
SolrQuery query = new SolrQuery();
query.setQuery(dateRange);
query.setFilterQueries(params.getString(LUCENE_QUERY));
query.setRows(20);
query.setFields(SOLR_COLUMN_METRIC_KEY);
LOGGER.info("TagNamesQuery : {}", query.toQueryString());
return query;
} | /**
* try to retrieve possible tags for a metric name in a given time range
*
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7cb9b1b99fb996c81f53098f6ff5831d5428f11c | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/historian/handler/GetSeriesHandler.java | [
"Apache-2.0"
] | Java | buildTagValuesQuery | SolrQuery | private SolrQuery buildTagValuesQuery(JsonObject params, String tagName) {
// buld final query
SolrQuery query = buildTagNamesQuery(params);
query.setRows(0);
query.setFacet(true);
query.setFacetMinCount(1);
query.setFacetLimit(50);
query.addFacetField(tagName);
LOGGER.info("TagValuesQuery : {}", query.toQueryString());
return query;
} | /**
* try to retrieve possible values for a metric name in a given time range
* for the given tags
*
* @param params
* @return
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e275d994e3c3be9ca19c780b6e353fcbe5538b53 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/converter/MeasuresToChunkVersionCurrent.java | [
"Apache-2.0"
] | Java | computeAndSetAggs | null | private void computeAndSetAggs(Chunk.ChunkBuilder builder, MetricTimeSeries timeSeries) {
Integer sax_alphabet_size = Math.max(Math.min(timeSeries.size(), 7), 2);
Integer sax_string_length = Math.min(timeSeries.size(), 24);
timeSeries.sort();
final List<Double> values = timeSeries.getValues().toList();
final List<Double> qualities = timeSeries.getQualities().toList();
final List<Long> timestamps = timeSeries.getTimestamps().toList();
// set quality stats if needed
TimeseriesAnalysis qualitiesAnalysis = TimeseriesAnalyzer.builder()
.computeOutlier(false)
.computeStats(true)
.computeTrend(false)
.build()
.run(timestamps, qualities);
if (qualitiesAnalysis.getCount() > 0) {
builder.qualityFirst(timeSeries.getQuality(0));
builder.qualitySum((float) qualitiesAnalysis.getSum());
builder.qualityMin((float) qualitiesAnalysis.getMin());
builder.qualityMax((float) qualitiesAnalysis.getMax());
builder.qualityAvg((float) qualitiesAnalysis.getMean());
}
// compute stats for values
TimeseriesAnalysis valuesAnalysis = TimeseriesAnalyzer.builder()
.computeOutlier(true)
.computeStats(true)
.computeTrend(true)
.build()
.run(timestamps, values);
builder.first(valuesAnalysis.getFirst());
builder.last(valuesAnalysis.getLast());
builder.min(valuesAnalysis.getMin());
builder.max(valuesAnalysis.getMax());
builder.sum(valuesAnalysis.getSum());
builder.avg(valuesAnalysis.getMean());
builder.count(valuesAnalysis.getCount());
builder.stdDev(valuesAnalysis.getStdDev());
builder.trend(valuesAnalysis.isHasTrend());
builder.outlier(valuesAnalysis.isHasOutlier());
// finish with sax
SaxConverter converter = SaxConverter.builder()
.alphabetSize(sax_alphabet_size)
.paaSize(sax_string_length)
.build();
String sax = converter.run(values);
builder.sax(sax);
} | /**
* Converts a list of records to a timeseries chunk
*
* @return
*/ | Converts a list of records to a timeseries chunk
@return | [
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Integer sax_alphabet_size = Math.max(Math.min(timeSeries.size(), 7), 2);
Integer sax_string_length = Math.min(timeSeries.size(), 24);
timeSeries.sort();
final List<Double> values = timeSeries.getValues().toList();
final List<Double> qualities = timeSeries.getQualities().toList();
final List<Long> timestamps = timeSeries.getTimestamps().toList();
TimeseriesAnalysis qualitiesAnalysis = TimeseriesAnalyzer.builder()
.computeOutlier(false)
.computeStats(true)
.computeTrend(false)
.build()
.run(timestamps, qualities);
if (qualitiesAnalysis.getCount() > 0) {
builder.qualityFirst(timeSeries.getQuality(0));
builder.qualitySum((float) qualitiesAnalysis.getSum());
builder.qualityMin((float) qualitiesAnalysis.getMin());
builder.qualityMax((float) qualitiesAnalysis.getMax());
builder.qualityAvg((float) qualitiesAnalysis.getMean());
}
TimeseriesAnalysis valuesAnalysis = TimeseriesAnalyzer.builder()
.computeOutlier(true)
.computeStats(true)
.computeTrend(true)
.build()
.run(timestamps, values);
builder.first(valuesAnalysis.getFirst());
builder.last(valuesAnalysis.getLast());
builder.min(valuesAnalysis.getMin());
builder.max(valuesAnalysis.getMax());
builder.sum(valuesAnalysis.getSum());
builder.avg(valuesAnalysis.getMean());
builder.count(valuesAnalysis.getCount());
builder.stdDev(valuesAnalysis.getStdDev());
builder.trend(valuesAnalysis.isHasTrend());
builder.outlier(valuesAnalysis.isHasOutlier());
SaxConverter converter = SaxConverter.builder()
.alphabetSize(sax_alphabet_size)
.paaSize(sax_string_length)
.build();
String sax = converter.run(values);
builder.sax(sax);
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}
] | {
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"params": [
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c8c02619d7cb16a5a0074264fa4cdc50b46a047d | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/ImportRequestParser.java | [
"Apache-2.0"
] | Java | parseJsonImportRequest | CorrectPointsAndErrorMessages | public static CorrectPointsAndErrorMessages parseJsonImportRequest(JsonArray jsonImportRequest) {
if (null == jsonImportRequest) {
throw new NullPointerException("Null request body");
}else if (jsonImportRequest.isEmpty()) {
throw new IllegalArgumentException("Empty request body");
}
CorrectPointsAndErrorMessages correctPointsAndErrorMessages = new CorrectPointsAndErrorMessages();
for (Object metricsObject : jsonImportRequest) {
JsonObject timeserie = (JsonObject) metricsObject;
if (!(timeserie.containsKey(FIELD_NAME)))
throw new IllegalArgumentException("Missing a name for at least one metric");
if (((timeserie.getValue(FIELD_NAME) == null) && (timeserie.getValue(POINTS) != null)) || (timeserie.getValue(FIELD_NAME) == "") ) {
int numPoints = timeserie.getJsonArray(POINTS).size();
correctPointsAndErrorMessages.errorMessages.add("Ignored "+ numPoints +" measures for metric with name "+timeserie.getValue(FIELD_NAME)+" because this is not a valid name");
continue;
} else if (!(timeserie.getValue(FIELD_NAME) instanceof String)) {
throw new IllegalArgumentException("A name is not a string for at least one metric");
} else if (!(timeserie.containsKey(POINTS))) {
throw new IllegalArgumentException("field 'measures' is required");
} else if ((!(timeserie.getValue(POINTS) instanceof JsonArray)) || (timeserie.getValue(POINTS)==null)) {
throw new IllegalArgumentException("field 'measures' : " + timeserie.getValue(POINTS) + " is not an array");
}
JsonObject newTimeserie = new JsonObject();
newTimeserie.put(FIELD_NAME, timeserie.getString(FIELD_NAME));
JsonArray newPoints = new JsonArray();
for (Object point : timeserie.getJsonArray(POINTS)) {
JsonArray pointArray;
String commonErrorMessage = "Ignored 1 measures for metric with name '" + timeserie.getString(FIELD_NAME);
try {
pointArray = (JsonArray) point;
pointArray.size();
} catch (Exception ex) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because it was not an array");
continue;
}
if (pointArray.size() == 0){
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because this point was an empty array");
continue;
} else if (pointArray.size() != 2 && pointArray.size() != 3)
throw new IllegalArgumentException("Points should be of the form [timestamp, value] or [timestamp, value, quality]");
try {
if (pointArray.getLong(0) == null) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its timestamp is null");
continue;
}
} catch (Exception e) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its timestamp is not a long");
continue;
}
try {
if ((pointArray.getDouble(1) == null)) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its value was not a double");
continue;
}
} catch (Exception e) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its value was not a double");
continue;
}
newPoints.add(pointArray);
}
if(!newPoints.isEmpty()) {
newTimeserie.put(POINTS, newPoints);
correctPointsAndErrorMessages.correctPoints.add(newTimeserie);
}
}
if (correctPointsAndErrorMessages.correctPoints.isEmpty())
throw new IllegalArgumentException("There is no valid measures");
return correctPointsAndErrorMessages;
} | /**
* @param jsonImportRequest JsonArray that have the jsonObjects that will be added, ex :
* [
* {
* "name": ...
* "measures": [
* [time, value, quality],
* [time, value, quality]
* ]
* },
* {
* "name": ...
* "measures": [
* [time, value],
* [time, value]
* ]
* }
* ]
*
* @return CorrectPointsAndErrorMessages an object that have the correct measures in a jsonArray and a list of the error
* messages if there is bad measures
*/ |
@return CorrectPointsAndErrorMessages an object that have the correct measures in a jsonArray and a list of the error
messages if there is bad measures | [
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if (null == jsonImportRequest) {
throw new NullPointerException("Null request body");
}else if (jsonImportRequest.isEmpty()) {
throw new IllegalArgumentException("Empty request body");
}
CorrectPointsAndErrorMessages correctPointsAndErrorMessages = new CorrectPointsAndErrorMessages();
for (Object metricsObject : jsonImportRequest) {
JsonObject timeserie = (JsonObject) metricsObject;
if (!(timeserie.containsKey(FIELD_NAME)))
throw new IllegalArgumentException("Missing a name for at least one metric");
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int numPoints = timeserie.getJsonArray(POINTS).size();
correctPointsAndErrorMessages.errorMessages.add("Ignored "+ numPoints +" measures for metric with name "+timeserie.getValue(FIELD_NAME)+" because this is not a valid name");
continue;
} else if (!(timeserie.getValue(FIELD_NAME) instanceof String)) {
throw new IllegalArgumentException("A name is not a string for at least one metric");
} else if (!(timeserie.containsKey(POINTS))) {
throw new IllegalArgumentException("field 'measures' is required");
} else if ((!(timeserie.getValue(POINTS) instanceof JsonArray)) || (timeserie.getValue(POINTS)==null)) {
throw new IllegalArgumentException("field 'measures' : " + timeserie.getValue(POINTS) + " is not an array");
}
JsonObject newTimeserie = new JsonObject();
newTimeserie.put(FIELD_NAME, timeserie.getString(FIELD_NAME));
JsonArray newPoints = new JsonArray();
for (Object point : timeserie.getJsonArray(POINTS)) {
JsonArray pointArray;
String commonErrorMessage = "Ignored 1 measures for metric with name '" + timeserie.getString(FIELD_NAME);
try {
pointArray = (JsonArray) point;
pointArray.size();
} catch (Exception ex) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because it was not an array");
continue;
}
if (pointArray.size() == 0){
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because this point was an empty array");
continue;
} else if (pointArray.size() != 2 && pointArray.size() != 3)
throw new IllegalArgumentException("Points should be of the form [timestamp, value] or [timestamp, value, quality]");
try {
if (pointArray.getLong(0) == null) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its timestamp is null");
continue;
}
} catch (Exception e) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its timestamp is not a long");
continue;
}
try {
if ((pointArray.getDouble(1) == null)) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its value was not a double");
continue;
}
} catch (Exception e) {
correctPointsAndErrorMessages.errorMessages.add(commonErrorMessage + "' because its value was not a double");
continue;
}
newPoints.add(pointArray);
}
if(!newPoints.isEmpty()) {
newTimeserie.put(POINTS, newPoints);
correctPointsAndErrorMessages.correctPoints.add(newTimeserie);
}
}
if (correctPointsAndErrorMessages.correctPoints.isEmpty())
throw new IllegalArgumentException("There is no valid measures");
return correctPointsAndErrorMessages;
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{
"name": ...
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c8c02619d7cb16a5a0074264fa4cdc50b46a047d | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/ImportRequestParser.java | [
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] | Java | parseCsvImportRequest | FileReport | public static FileReport parseCsvImportRequest(JsonArray fileInArray, CsvFilesConvertorConf csvFilesConvertorConf, FileReport fileReport) {
if (null == fileInArray) {
throw new NullPointerException("Null request body");
}else if (fileInArray.isEmpty()) {
throw new IllegalArgumentException("Empty request body");
}
parseEachObjectInTheArray(fileInArray, fileReport, csvFilesConvertorConf);
if (fileReport.correctPoints.isEmpty())
throw new IllegalArgumentException("There is no valid points");
return fileReport;
} | /**
* @param fileInArray JsonArray
* @param csvFilesConvertorConf CsvFilesConvertorConf
* @param fileReport FileReport
*
* parse the json and fill the fileReport:
* - fill the correctPoints
* - fill the numberOfFailedPointsPerMetric
*
* @return void
*/ |
parse the json and fill the fileReport:
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- fill the numberOfFailedPointsPerMetric
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c8c02619d7cb16a5a0074264fa4cdc50b46a047d | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/ImportRequestParser.java | [
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] | Java | calculateNumberOfFailedPoints | null | private static void calculateNumberOfFailedPoints(FileReport fileReport, CsvFilesConvertorConf csvFilesConvertorConf, JsonObject timeserie, int numberOfFailedPointsForThisName) {
int currentNumberOfFailedPoints;
LinkedHashMap<String, String> groupByMap = getGroupedByFields(csvFilesConvertorConf, timeserie);
if (fileReport.numberOfFailedPointsPerMetric.containsKey(groupByMap)) {
currentNumberOfFailedPoints = fileReport.numberOfFailedPointsPerMetric.get(groupByMap);
fileReport.numberOfFailedPointsPerMetric.put(groupByMap, currentNumberOfFailedPoints+numberOfFailedPointsForThisName);
}else {
fileReport.numberOfFailedPointsPerMetric.put(groupByMap, numberOfFailedPointsForThisName);
}
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* @param csvFilesConvertorConf CsvFilesConvertorConf
* @param timeserie JsonObject
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* calculate the number of failed points per metric
*
* @return void
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5241a0680fa1dcc3b4aed9fdf2fa563c9e67bebd | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/transformation/SampleMovingAverage.java | [
"Apache-2.0"
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
//we need a sorted time series
timeSeries.sort();
//get the raw values as arrays
double[] values = timeSeries.getValuesAsArray();
long[] times = timeSeries.getTimestampsAsArray();
int timeSeriesSize = timeSeries.size();
//remove the old values
timeSeries.clear();
//the start is already set
for (int start = 0; start < timeSeriesSize; start++) {
int end = start + samples;
//calculate the average of the values and the time
evaluteAveragesAndAddToTimeSeries(timeSeries, values, times, start, end);
//check if window end is larger than time series
if (end + 1 >= timeSeriesSize) {
evaluteAveragesAndAddToTimeSeries(timeSeries, values, times, start + 1, timeSeriesSize);
break;
}
}
functionValueMap.add(this);
} | /**
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* The last window contains equals or a lower amount samples.
*
* @param timeSeries the time series that is transformed
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c4f1abcad3566945136178562983a255545caba8 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaDoubleForecaster.java | [
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public List<Double> forecast(List<Double> inputData, int numPoints) {
double[] dataArray = new double[inputData.size()];
for (int i = 0; i < dataArray.length; i++) {
dataArray[i] = inputData.get(i);
}
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double[] forecastData = forecastResult.getForecast();
ArrayList<Double> forecasted = new ArrayList<Double>();
for (double forecastDatum : forecastData) {
forecasted.add(forecastDatum);
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return forecasted;
} | /**
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*
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c4f1abcad3566945136178562983a255545caba8 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaDoubleForecaster.java | [
"Apache-2.0"
] | Java | fit | null | @Override
public void fit(List<Double> trainingData, List<Double> validatingData) {
List<Integer> order = Arrays.asList(0, 0, 0, 0, 0, 0);
double[] train = listToDouble(trainingData);
double[] valid = listToDouble(validatingData);
double minMse = 99999999;
for (int i = 0; i < 10; i++) {
for (int j = 0; j < 10; j++) {
for (int k = 0; k < 10; k++) {
try{
ForecastResult forecastResult = null;
if (i == 0 && k == 0) {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(1, j, k, P, D, Q, 1+k+1));
} else {
forecastResult = Arima.forecast_arima(train, valid.length, new ArimaParams(i, j, k, P, D, Q, i+k+1));
}
double[] forecastData = forecastResult.getForecast();
double mse = rootMeanSquaredError(valid, forecastData);
if (mse < minMse) {
minMse = mse;
order.set(0, i);
order.set(1, j);
order.set(2, k);
}
}catch (Exception ex){
logger.debug(ex.getMessage());
}
}
}
}
p = order.get(0);
d = order.get(1);
q = order.get(2);
P = order.get(3);
D = order.get(4);
Q = order.get(5);
m = p + q + P + Q + 1;
logger.debug("Min RMSE={} found , for p={}, d={}, q={}, P={}, D={}, Q={}, m={}", minMse, p, d, q, P, D, Q, m);
} | /**
* Find the ARIMA's parameters
*
* @param trainingData the given elements to train the model
* @param validatingData the elements to compare with the forecasted values
*/ | Find the ARIMA's parameters
@param trainingData the given elements to train the model
@param validatingData the elements to compare with the forecasted values | [
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public void fit(List<Double> trainingData, List<Double> validatingData) {
List<Integer> order = Arrays.asList(0, 0, 0, 0, 0, 0);
double[] train = listToDouble(trainingData);
double[] valid = listToDouble(validatingData);
double minMse = 99999999;
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double[] forecastData = forecastResult.getForecast();
double mse = rootMeanSquaredError(valid, forecastData);
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Q = order.get(5);
m = p + q + P + Q + 1;
logger.debug("Min RMSE={} found , for p={}, d={}, q={}, P={}, D={}, Q={}, m={}", minMse, p, d, q, P, D, Q, m);
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c4f1abcad3566945136178562983a255545caba8 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/forecasting/ArimaDoubleForecaster.java | [
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double[] result = new double[inputData.size()];
for (int i = 0; i < result.length; i++) {
result[i] = inputData.get(i);
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e3758f39e92dc9e4eef0e1dcd58be6b7954f6036 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/aggregation/Max.java | [
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if (timeSeries.size() <= 0) {
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double next = timeSeries.getValue(i);
if (next > max) {
max = next;
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functionValueMap.add(this, max);
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* Calculates the maximum value of the first time series.
*
* @param timeSeries the time series
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82b520d3bc4efcb85bfcaa4c0aa3951413dbcba0 | Hurence/historian | logisland-timeseries/src/main/java/com/hurence/logisland/sampling/record/AverageRecordSampler.java | [
"Apache-2.0"
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public List<Record> sample(List<Record> inputRecords) {
// simple average to 100 data points
return SamplingUtils.grouped(inputRecords, bucketSize)
.map(bucket -> {
SummaryStatistics stats = new SummaryStatistics();
bucket.forEach(record -> {
final Double recordValue = getRecordValue(record);
if (recordValue != null)
stats.addValue(recordValue);
});
final double meanValue = stats.getMean();
final Record sampleRecord = getTimeValueRecord(bucket.get(0));
final FieldType fieldType = bucket.get(0).getField(valueFieldName).getType();
switch (fieldType) {
case INT:
sampleRecord.setField(valueFieldName, fieldType, (int) Math.round(meanValue));
break;
case LONG:
sampleRecord.setField(valueFieldName, fieldType, Math.round(meanValue));
break;
case FLOAT:
sampleRecord.setField(valueFieldName, fieldType, (float) meanValue);
break;
case DOUBLE:
sampleRecord.setField(valueFieldName, fieldType, meanValue);
break;
}
return sampleRecord;
}).collect(Collectors.toList());
} | /**
* divide the points sequence into equally sized buckets
* and select the first point of each bucket
*
* @param inputRecords the input list
* @return
*/ | divide the points sequence into equally sized buckets
and select the first point of each bucket
@param inputRecords the input list
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1c1c1348af5241f3164b025dbbc0f9fa09473252 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/transformation/Distinct.java | [
"Apache-2.0"
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public void execute(MetricTimeSeries timeSeries, FunctionValueMap functionValueMap) {
if (timeSeries.isEmpty()) {
return;
}
timeSeries.sort();
LongList timeList = new LongList(timeSeries.size());
DoubleList valueList = new DoubleList(timeSeries.size());
//We should use a other data structure...
Set<Double> distinct = new HashSet<>();
for (int i = 0; i < timeSeries.size(); i++) {
double value = timeSeries.getValue(i);
if (!distinct.contains(value)) {
timeList.add(timeSeries.getTime(i));
valueList.add(value);
distinct.add(value);
}
}
timeSeries.clear();
timeSeries.addAll(timeList, valueList);
functionValueMap.add(this);
} | /**
* Transforms a time series into a representation with distinct values.
* The distinct operation uses the first occurrence of a point.
*
* @param timeSeries the time series that is transformed
* @param functionValueMap the function value map
*/ | Transforms a time series into a representation with distinct values.
The distinct operation uses the first occurrence of a point.
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65141cfaae1f3a44de0cee19c1bba7d00daf7a4e | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/IngestionFinalResponseUtil.java | [
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] | Java | constructFinalResponseCsv | JsonObject | public static JsonObject constructFinalResponseCsv(AllFilesReport allFilesReport,
CsvFilesConvertorConf csvFilesConvertorConf) {
JsonArray report = getGroupedByReportFromInjectedPoints(allFilesReport, csvFilesConvertorConf);
JsonObject finalResponse = new JsonObject();
if (!report.isEmpty())
finalResponse.put(FIELD_TAGS, new JsonArray(csvFilesConvertorConf.getTags()))
.put(GROUPED_BY_IN_RESPONSE, new JsonArray(csvFilesConvertorConf.getGroupByListWithNAME()))
.put(REPORT, report);
if (!allFilesReport.filesThatFailedToBeImported.isEmpty())
finalResponse.put(ERRORS, allFilesReport.filesThatFailedToBeImported);
return finalResponse;
} | /**
* @param allFilesReport AllFilesReport
* @param csvFilesConvertorConf CsvFilesConvertorConf
*
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* @return JsonObject : the response to return
*/ |
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65141cfaae1f3a44de0cee19c1bba7d00daf7a4e | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/IngestionFinalResponseUtil.java | [
"Apache-2.0"
] | Java | fillingThe_groupedByFieldsForEveryChunk_List | null | private static void fillingThe_groupedByFieldsForEveryChunk_List(JsonArray timeseriesPoints, JsonArray groupedByFields,
List<HashMap<String, String>> groupedByFieldsForEveryChunk ) {
for (Object timeserieObject : timeseriesPoints) {
JsonObject timeserie = (JsonObject) timeserieObject;
JsonObject tagsObject = timeserie.getJsonObject(FIELD_TAGS);
HashMap<String, String> groupedByFieldsForThisChunk = new LinkedHashMap<>();
groupedByFields.forEach(f -> {
if (f.toString().equals(FIELD_NAME))
groupedByFieldsForThisChunk.put(f.toString(),timeserie.getString(f.toString()));
else
groupedByFieldsForThisChunk.put(f.toString(),tagsObject.getString(f.toString()));
});
int totalNumPointsInChunk = timeserie.getJsonArray(POINTS).size();
groupedByFieldsForThisChunk.put("totalPointsForThisChunk", String.valueOf(totalNumPointsInChunk));
groupedByFieldsForEveryChunk.add(groupedByFieldsForThisChunk);
}
} | /**
* @param timeseriesPoints JsonArray
* @param groupedByFields JsonArray
* @param groupedByFieldsForEveryChunk List<HashMap<String, String>>
*
* fill the groupedByFieldsForEveryChunk list which contains the fields to group by for every chunk,
* and add the element totalPointsForThisChunk for every chunk
*
* @return void
*/ |
fill the groupedByFieldsForEveryChunk list which contains the fields to group by for every chunk,
and add the element totalPointsForThisChunk for every chunk
@return void | [
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JsonObject timeserie = (JsonObject) timeserieObject;
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groupedByFieldsForThisChunk.put("totalPointsForThisChunk", String.valueOf(totalNumPointsInChunk));
groupedByFieldsForEveryChunk.add(groupedByFieldsForThisChunk);
}
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8c56d7708d104d28562619767c9eeda33e8ab55d | Hurence/historian | historian-timeseries/src/test/java/com/hurence/timeseries/compaction/protobuf/ProtoBufTimeSeriesSerializerWithQualityEmbedded3Test.java | [
"Apache-2.0"
] | Java | test3 | null | @Test
public void test3() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 0.9f),
Measure.fromValueAndQuality(3, 1.0d, 0.8f),
Measure.fromValueAndQuality(4, 1.0d, 0.7f),
Measure.fromValueAndQuality(5, 1.0d, 0.69f),
Measure.fromValueAndQuality(6, 1.0d, 0.68f),
Measure.fromValueAndQuality(7, 1.0d, 0.679f),
Measure.fromValueAndQuality(8, 1.0d, 0.671f),
Measure.fromValueAndQuality(9, 1.0d, 0.67f),
Measure.fromValueAndQuality(10, 1.0d, 0.669f),
Measure.fromValueAndQuality(11, 1.0d, 0.05f),
Measure.fromValueAndQuality(12, 1.0d, 0.0f),
Measure.fromValueAndQuality(13, 1.2d, 0.9f),
Measure.fromValueAndQuality(14, 1.2d, 0.99f),
Measure.fromValueAndQuality(15, 1.2d, 1f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.33f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.0d, 1.0f),
Measure.fromValueAndQuality(4, 1.0d, 1.0f),
Measure.fromValueAndQuality(5, 1.0d, 1.0f),
Measure.fromValueAndQuality(6, 1.0d, 1.0f),
Measure.fromValueAndQuality(7, 1.0d, 1.0f),
Measure.fromValueAndQuality(8, 1.0d, 1.0f),
Measure.fromValueAndQuality(9, 1.0d, 1.0f),
Measure.fromValueAndQuality(10, 1.0d, 0.669f),
Measure.fromValueAndQuality(11, 1.0d, 0.05f),
Measure.fromValueAndQuality(12, 1.0d, 0.0f),
Measure.fromValueAndQuality(13, 1.2d, 0.9f),
Measure.fromValueAndQuality(14, 1.2d, 0.9f),
Measure.fromValueAndQuality(15, 1.2d, 1f)
));
assertEquals(expectedMeasures, actualMeasures);
} | //Here when the diff is exactly 0.05 this is not enough to make the quality stored | Here when the diff is exactly 0.05 this is not enough to make the quality stored | [
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public void test3() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 0.9f),
Measure.fromValueAndQuality(3, 1.0d, 0.8f),
Measure.fromValueAndQuality(4, 1.0d, 0.7f),
Measure.fromValueAndQuality(5, 1.0d, 0.69f),
Measure.fromValueAndQuality(6, 1.0d, 0.68f),
Measure.fromValueAndQuality(7, 1.0d, 0.679f),
Measure.fromValueAndQuality(8, 1.0d, 0.671f),
Measure.fromValueAndQuality(9, 1.0d, 0.67f),
Measure.fromValueAndQuality(10, 1.0d, 0.669f),
Measure.fromValueAndQuality(11, 1.0d, 0.05f),
Measure.fromValueAndQuality(12, 1.0d, 0.0f),
Measure.fromValueAndQuality(13, 1.2d, 0.9f),
Measure.fromValueAndQuality(14, 1.2d, 0.99f),
Measure.fromValueAndQuality(15, 1.2d, 1f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.33f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.0d, 1.0f),
Measure.fromValueAndQuality(4, 1.0d, 1.0f),
Measure.fromValueAndQuality(5, 1.0d, 1.0f),
Measure.fromValueAndQuality(6, 1.0d, 1.0f),
Measure.fromValueAndQuality(7, 1.0d, 1.0f),
Measure.fromValueAndQuality(8, 1.0d, 1.0f),
Measure.fromValueAndQuality(9, 1.0d, 1.0f),
Measure.fromValueAndQuality(10, 1.0d, 0.669f),
Measure.fromValueAndQuality(11, 1.0d, 0.05f),
Measure.fromValueAndQuality(12, 1.0d, 0.0f),
Measure.fromValueAndQuality(13, 1.2d, 0.9f),
Measure.fromValueAndQuality(14, 1.2d, 0.9f),
Measure.fromValueAndQuality(15, 1.2d, 1f)
));
assertEquals(expectedMeasures, actualMeasures);
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"returns": [],
"raises": [],
"params": [],
"outlier_params": [],
"others": []
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8c56d7708d104d28562619767c9eeda33e8ab55d | Hurence/historian | historian-timeseries/src/test/java/com/hurence/timeseries/compaction/protobuf/ProtoBufTimeSeriesSerializerWithQualityEmbedded3Test.java | [
"Apache-2.0"
] | Java | test4 | null | @Test
public void test4() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.8d, 0.2f),
Measure.fromValueAndQuality(4, 1.8d, 0.10000001f),
Measure.fromValueAndQuality(5, 1.3d, 0.1f),
Measure.fromValueAndQuality(6, 1.3d, 0.09f),
Measure.fromValueAndQuality(7, 1.2d, 1.0f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.1f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.8d, 0.2f),
Measure.fromValueAndQuality(4, 1.8d, 0.2f),
Measure.fromValueAndQuality(5, 1.3d, 0.2f),
Measure.fromValueAndQuality(6, 1.3d, 0.09f),
Measure.fromValueAndQuality(7, 1.2d, 1.0f)
));
assertEquals(expectedMeasures, actualMeasures);
} | //Here when the diff is exactly 0.05 this is not enough to make the quality stored | Here when the diff is exactly 0.05 this is not enough to make the quality stored | [
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public void test4() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.8d, 0.2f),
Measure.fromValueAndQuality(4, 1.8d, 0.10000001f),
Measure.fromValueAndQuality(5, 1.3d, 0.1f),
Measure.fromValueAndQuality(6, 1.3d, 0.09f),
Measure.fromValueAndQuality(7, 1.2d, 1.0f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.1f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.0f),
Measure.fromValueAndQuality(3, 1.8d, 0.2f),
Measure.fromValueAndQuality(4, 1.8d, 0.2f),
Measure.fromValueAndQuality(5, 1.3d, 0.2f),
Measure.fromValueAndQuality(6, 1.3d, 0.09f),
Measure.fromValueAndQuality(7, 1.2d, 1.0f)
));
assertEquals(expectedMeasures, actualMeasures);
} | [
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"returns": [],
"raises": [],
"params": [],
"outlier_params": [],
"others": []
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8c56d7708d104d28562619767c9eeda33e8ab55d | Hurence/historian | historian-timeseries/src/test/java/com/hurence/timeseries/compaction/protobuf/ProtoBufTimeSeriesSerializerWithQualityEmbedded3Test.java | [
"Apache-2.0"
] | Java | test5 | null | @Test
public void test5() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.5f),
Measure.fromValueAndQuality(3, 1.8d, 1.549f),
Measure.fromValueAndQuality(4, 1.3d, 1.451f),
Measure.fromValueAndQuality(5, 1.2d, 1.45f),
Measure.fromValueAndQuality(6, 1.2d, 1.449f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.05f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
Measure.fromValueAndQuality(1, 1.2d, 1.0f),
Measure.fromValueAndQuality(2, 1.0d, 1.5f),
Measure.fromValueAndQuality(3, 1.8d, 1.5f),
Measure.fromValueAndQuality(4, 1.3d, 1.5f),
Measure.fromValueAndQuality(5, 1.2d, 1.5f),
Measure.fromValueAndQuality(6, 1.2d, 1.449f)
));
assertEquals(expectedMeasures, actualMeasures);
} | //Here when the diff is exactly 0.05 this is not enough to make the quality stored | Here when the diff is exactly 0.05 this is not enough to make the quality stored | [
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public void test5() throws IOException {
List<Measure> inputMeasures = Arrays.asList(
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Measure.fromValueAndQuality(2, 1.0d, 1.5f),
Measure.fromValueAndQuality(3, 1.8d, 1.549f),
Measure.fromValueAndQuality(4, 1.3d, 1.451f),
Measure.fromValueAndQuality(5, 1.2d, 1.45f),
Measure.fromValueAndQuality(6, 1.2d, 1.449f)
);
TreeSet<Measure> actualMeasures = testThereIsNoInformationLost(inputMeasures, 0.05f);
TreeSet<Measure> expectedMeasures = new TreeSet(Arrays.asList(
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Measure.fromValueAndQuality(2, 1.0d, 1.5f),
Measure.fromValueAndQuality(3, 1.8d, 1.5f),
Measure.fromValueAndQuality(4, 1.3d, 1.5f),
Measure.fromValueAndQuality(5, 1.2d, 1.5f),
Measure.fromValueAndQuality(6, 1.2d, 1.449f)
));
assertEquals(expectedMeasures, actualMeasures);
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"returns": [],
"raises": [],
"params": [],
"outlier_params": [],
"others": []
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300e8a3e50ae5d81a6e3027b8c65b9f3adedcd03 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/functions/analyse/FastDtw.java | [
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MultivariateTimeSeries multivariateTimeSeries = new MultivariateTimeSeries(1);
if (timeSeries.size() > 0) {
//First sort the values
timeSeries.sort();
long formerTimestamp = timeSeries.getTime(0);
double formerValue = timeSeries.getValue(0);
int timesSameTimestamp = 0;
for (int i = 1; i < timeSeries.size(); i++) {
//We have two timestamps that are the same
if (formerTimestamp == timeSeries.getTime(i)) {
formerValue += timeSeries.getValue(i);
timesSameTimestamp++;
} else {
//calc the average of the values of the same timestamp
if (timesSameTimestamp > 0) {
formerValue = formerValue / timesSameTimestamp;
timesSameTimestamp = 0;
}
//first add the former timestamp
multivariateTimeSeries.add(formerTimestamp, new double[]{formerValue});
formerTimestamp = timeSeries.getTime(i);
formerValue = timeSeries.getValue(i);
}
}
//add the last point
multivariateTimeSeries.add(formerTimestamp, new double[]{formerValue});
}
return multivariateTimeSeries;
} | /**
* Builds a multivariate time series of the given univariate time series.
* If two or more timestamps are the same, the values are aggregated using the average.
*
* @param timeSeries the metric time series
* @return a multivariate time series for the fast dtw analysis
*/ | Builds a multivariate time series of the given univariate time series.
If two or more timestamps are the same, the values are aggregated using the average.
@param timeSeries the metric time series
@return a multivariate time series for the fast dtw analysis | [
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multivariateTimeSeries.add(formerTimestamp, new double[]{formerValue});
formerTimestamp = timeSeries.getTime(i);
formerValue = timeSeries.getValue(i);
}
}
multivariateTimeSeries.add(formerTimestamp, new double[]{formerValue});
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return multivariateTimeSeries;
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{
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637b7f32306dfb77b48dc278f4261e96cde05f1d | Hurence/historian | logisland-timeseries/src/main/java/com/hurence/logisland/BinaryCompactionConverterOfRecord.java | [
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public TimeSeriesRecord chunk(List<Record> records) {
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throw new ProcessException("not enough records to build a timeseries, should contain at least 1 records ");
final MetricTimeSeries timeSeries = buildTimeSeries(records);
final TimeSeriesRecord chunkrecord = new TimeSeriesRecord(timeSeries);
// compress chunk into binaries
byte[] serializedTimeseries = serializeTimeseries(timeSeries);
chunkrecord.setField(TimeSeriesRecord.CHUNK_VALUE, FieldType.BYTES, serializedTimeseries);
chunkrecord.setField(TimeSeriesRecord.CHUNK_SIZE_BYTES, FieldType.INT, serializedTimeseries.length);
return chunkrecord;
} | /**
* Compact a related list of records a single chunked one
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637b7f32306dfb77b48dc278f4261e96cde05f1d | Hurence/historian | logisland-timeseries/src/main/java/com/hurence/logisland/BinaryCompactionConverterOfRecord.java | [
"Apache-2.0"
] | Java | unchunk | null | @Override
public List<Record> unchunk(final TimeSeriesRecord record) throws IOException {
final long start = record.getTimeSeries().getStart();
final long end = record.getTimeSeries().getEnd();
return BinaryCompactionUtil.unCompressPoints(record.getField(TimeSeriesRecord.CHUNK_VALUE).asBytes(), start, end).stream()
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long timestamp = m.getTimestamp();
double value = m.getValue();
Record pointRecord = new StandardRecord(record.getType())
.setStringField(FieldDictionary.RECORD_NAME, record.getTimeSeries().getName())
.setField(FieldDictionary.RECORD_TIME, FieldType.LONG, timestamp)
.setField(FieldDictionary.RECORD_VALUE, FieldType.DOUBLE, value);
record.getTimeSeries().attributes().keySet().forEach(key -> {
pointRecord.setStringField(key, String.valueOf(record.getTimeSeries().attribute(key)));
});
return pointRecord;
}).collect(Collectors.toList());
} | /**
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d5096a22d9e288b62d389b2a08b747b159e19379 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/model/Chunk.java | [
"Apache-2.0"
] | Java | toHumanReadable | String | public String toHumanReadable(boolean withTimestamps) {
SimpleDateFormat sdf = Measure.createUtcDateFormatter("yyyy-MM-dd HH:mm:ss.SSS");
StringBuilder stringBuilder = new StringBuilder(" Value as string: " + getValueAsString());
stringBuilder.append("\n Human readable value:");
try {
TreeSet<Measure> measures = BinaryCompactionUtil.unCompressPoints(value, start, end);
for (Measure measure : measures) {
double measureValue = measure.getValue();
float quality = measure.getQuality();
long timestamp = measure.getTimestamp();
String readableTimestamp = sdf.format(new Date(timestamp));
stringBuilder.append("\n t=").append(readableTimestamp);
if (withTimestamps) {
stringBuilder.append(" (" + timestamp + ")");
}
stringBuilder
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.append(" q=").append(quality);
}
} catch (IOException e) {
e.printStackTrace();
}
return ReflectionToStringBuilder.toString(this, ToStringStyle.MULTI_LINE_STYLE) + stringBuilder;
} | /**
* Get human readable Chunk including uncompressed readable measure values
*
* @param withTimestamps Display timestamp next to human readable dates or not
* @return
*/ | Get human readable Chunk including uncompressed readable measure values
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d5096a22d9e288b62d389b2a08b747b159e19379 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/model/Chunk.java | [
"Apache-2.0"
] | Java | compute | String | public String compute() {
StringBuilder idBuilder = new StringBuilder(name);
// If there are some tags, add them with their values in an alphabetically sorted way
// according to the tag key
if (tags != null && tags.size() > 0) {
SortedSet<String> sortedTags = new TreeSet<>(tags.keySet()); // Sort tag keys
sortedTags.forEach((tagKey) -> {
idBuilder.append(TOKEN_SEPARATOR)
.append(tagKey)
.append(TAG_KEY_VALUE_SEPARATOR)
.append(tags.get(tagKey));
});
}
return idBuilder.toString();
} | /**
* Computes the unique metric key in the form:
* <name>[|tagName=tageValue] with tags alphabetically sorted
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*
* @return
*/ | Computes the unique metric key in the form:
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sortedTags.forEach((tagKey) -> {
idBuilder.append(TOKEN_SEPARATOR)
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d5096a22d9e288b62d389b2a08b747b159e19379 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/model/Chunk.java | [
"Apache-2.0"
] | Java | parse | MetricKey | public static MetricKey parse(String id) {
if ((id == null) || (id.length() == 0)) {
throw new IllegalArgumentException("null or empty metric key");
}
// metricName|tag1$tag1Val|tag2$tag2val
String[] tokens = id.split(Pattern.quote(TOKEN_SEPARATOR));
String name = tokens[0];
if (tokens.length == 1) {
// No tags ( ["metricName"] )
return new MetricKey(name);
} else {
// Some tags: parse them ( ["metricName", "tag1$tag1Val" , "tag2$tag2val"] )
Map<String, String> tags = new HashMap<String, String>();
for (int i = 1; i < tokens.length; i++) {
// "tag1$tag1Val"
String tagAndValues = tokens[i];
String[] tagAndValue = tagAndValues.split(Pattern.quote(TAG_KEY_VALUE_SEPARATOR));
if ((tagAndValue == null) || (tagAndValue.length != 2)) {
StringBuilder stringBuilder = new StringBuilder();
if (tagAndValue != null) {
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stringBuilder.append(" " + token);
}
} else {
stringBuilder.append(" null");
}
// sometimes there's no value for one key. this is real life :)
if (tagAndValue.length == 1)
tags.put(tagAndValue[0], "");
else
throw new IllegalArgumentException("tag component has wrong format:" + stringBuilder);
} else {
tags.put(tagAndValue[0], tagAndValue[1]);
}
}
return new MetricKey(name, tags);
}
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d5096a22d9e288b62d389b2a08b747b159e19379 | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/model/Chunk.java | [
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try {
return ChunkTruncater.truncate(this, from, to);
} catch (IOException e) {
LOGGER.error("Error encoding binaries", e);
throw new IllegalArgumentException(e);
}
} | /**
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* @param to
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53e1ab99f265de231498ea4ce3f3fe4bc44681c8 | Hurence/historian | integration-tests/src/main/java/com/hurence/historian/solr/util/SolrITHelper.java | [
"Apache-2.0"
] | Java | printSolrJsonDocs | null | public static void printSolrJsonDocs(SolrClient solrClient, String collection) {
SolrDocumentList solrDocumentList = getSolrDocs(solrClient, collection);
System.out.println("Solr contains " + solrDocumentList.size() +
" document(s):\n" + JSONUtil.toJSON(solrDocumentList));
} | /**
* Prints solr docs of a collection
* @param solrClient
* @param collection
*/ | Prints solr docs of a collection
@param solrClient
@param collection | [
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] | public static void printSolrJsonDocs(SolrClient solrClient, String collection) {
SolrDocumentList solrDocumentList = getSolrDocs(solrClient, collection);
System.out.println("Solr contains " + solrDocumentList.size() +
" document(s):\n" + JSONUtil.toJSON(solrDocumentList));
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53e1ab99f265de231498ea4ce3f3fe4bc44681c8 | Hurence/historian | integration-tests/src/main/java/com/hurence/historian/solr/util/SolrITHelper.java | [
"Apache-2.0"
] | Java | printUnChunkedSolrJsonDocs | null | public static void printUnChunkedSolrJsonDocs(SolrClient solrClient, String collection) {
SolrDocumentList solrDocumentList = getSolrDocs(solrClient, collection);
System.out.println("Solr contains " + solrDocumentList.size() +
" document(s):");
SimpleDateFormat sdf = Measure.createUtcDateFormatter("yyyy-MM-dd HH:mm:ss.SSS");
StringBuilder stringBuilder = new StringBuilder("\n{");
for (SolrDocument solrDocument : solrDocumentList) {
for (String field : solrDocument.getFieldNames().stream().sorted().collect(Collectors.toList())) {
stringBuilder.append("\n \"").append(field).append("\": ");
Object value = solrDocument.getFieldValue(field);
if (field.equals(SOLR_COLUMN_VALUE)) {
// Uncompress the chunk and display points in a human readable way
byte[] compressedPoints = BinaryEncodingUtils.decode((String)value);
long chunkStart = (Long)solrDocument.getFieldValue(SOLR_COLUMN_START);
long chunkEnd = (Long)solrDocument.getFieldValue(SOLR_COLUMN_END);
try {
TreeSet<Measure> measures = BinaryCompactionUtil.unCompressPoints(compressedPoints, chunkStart, chunkEnd);
for (Measure measure : measures) {
double measureValue = measure.getValue();
float quality = measure.getQuality();
String readableTimestamp = sdf.format(new Date(measure.getTimestamp()));
stringBuilder.append("\n t=").append(readableTimestamp)
.append(" v=").append(measureValue)
.append(" q=").append(quality);
}
} catch (IOException e) {
e.printStackTrace();
fail(e.getMessage());
}
} else
{
stringBuilder.append(value);
}
}
stringBuilder.append("\n}");
}
System.out.println(stringBuilder);
} | /**
* Prints solr chunks docs of a collection, uncompressing measures in a human readable way
* @param solrClient
* @param collection
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@param solrClient
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53e1ab99f265de231498ea4ce3f3fe4bc44681c8 | Hurence/historian | integration-tests/src/main/java/com/hurence/historian/solr/util/SolrITHelper.java | [
"Apache-2.0"
] | Java | compareChunks | null | public static void compareChunks(Map<String, Chunk> expectedChunks, Map<String, Chunk> actualChunks) {
assertEquals(expectedChunks.size(), actualChunks.size(), "Not the same number of chunks");
for (String chunkId : expectedChunks.keySet()) {
Chunk expectedChunk = expectedChunks.get(chunkId);
Chunk actualChunk = actualChunks.get(chunkId);
assertNotNull(actualChunk, "Missing chunk id " + chunkId +
" in actual chunks: " + actualChunks.values());
assertEquals(expectedChunk, actualChunk, "Actual chunk id " + chunkId + " not equal to expected one");
}
} | /**
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* @param expectedChunks
* @param actualChunks
*/ | Checks 2 sets of chunks are equal
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for (String chunkId : expectedChunks.keySet()) {
Chunk expectedChunk = expectedChunks.get(chunkId);
Chunk actualChunk = actualChunks.get(chunkId);
assertNotNull(actualChunk, "Missing chunk id " + chunkId +
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9cdc93c1934c56f39e334b098b474ea52cf0c45c | Hurence/historian | historian-timeseries/src/main/java/com/hurence/timeseries/converter/ChunkTruncater.java | [
"Apache-2.0"
] | Java | truncate | Chunk | public static Chunk truncate(Chunk chunk, long from, long to) throws IOException {
byte[] binaries = chunk.getValue();
TreeSet<Measure> measures = BinaryCompactionUtil.unCompressPoints(binaries, chunk.getStart(), chunk.getEnd(), from, to);///
MeasuresToChunkVersionCurrent converter = new MeasuresToChunkVersionCurrent(TRUNCATER_ORIGIN);
return converter.buildChunk(chunk.getName(), measures, chunk.getTags());
} | /**
* The chunk in input must have getValueAsBinary implemented (not returning null)
* The chunk in input must have getName implemented (not returning null)
* The chunk in input must have getTags implemented (not returning null)
*
* @param from the desired chunk_start of new chunk
* @param to the desired chunk_end of new chunk
* @return a new Chunk without point outside of boundaries
* (recompute aggregations as well)
*/ | The chunk in input must have getValueAsBinary implemented (not returning null)
The chunk in input must have getName implemented (not returning null)
The chunk in input must have getTags implemented (not returning null)
@param from the desired chunk_start of new chunk
@param to the desired chunk_end of new chunk
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32073c837feb515bae05b5fcda59b3abf151c592 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/DataConverter.java | [
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] | Java | toGroupedByMetricDataPoints | JsonArray | public JsonArray toGroupedByMetricDataPoints(List<LineWithDateInfo> lineWithDateInfos) {
List<Map<String, Object>> finalGroupedPoints = lineWithDateInfos.stream()
//group by metric,tag,date -> [value, date, quality] ( in case where group by just metric : metric,date -> [value, date, quality])
.collect(Collectors.groupingBy(this::customGroupingBy,
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return new JsonArray(finalGroupedPoints);
} | /**
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*
* group by the lineWithDateInfos into a json array :
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32073c837feb515bae05b5fcda59b3abf151c592 | Hurence/historian | historian-server/src/main/java/com/hurence/webapiservice/http/api/ingestion/util/DataConverter.java | [
"Apache-2.0"
] | Java | toNumber | Object | public static Object toNumber(Object value, CsvFilesConvertorConf csvFilesConvertorConf) {
try {
return getNumberIfLong(value, csvFilesConvertorConf);
} catch (Exception e) {
return getNumberIfNotLong(value, csvFilesConvertorConf);
}
} | /**
* @param value Object
* @param csvFilesConvertorConf CsvFilesConvertorConf
*
* get the timestamp as long if possible.
*
*/ |
get the timestamp as long if possible. | [
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try {
return getNumberIfLong(value, csvFilesConvertorConf);
} catch (Exception e) {
return getNumberIfNotLong(value, csvFilesConvertorConf);
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