Examples with DataValueService org.hisp.dhis.datavalue.DataValueService used on opensource projects

Example 1 with DataValueService

use of org.hisp.dhis.datavalue.DataValueService in project dhis2-core by dhis2.

the class DefaultPredictionService method predict.

@Override
public void predict(Predictor predictor, Date startDate, Date endDate, PredictionSummary predictionSummary) {
    Expression generator = predictor.getGenerator();
    Expression skipTest = predictor.getSampleSkipTest();
    DataElement outputDataElement = predictor.getOutput();
    DataType expressionDataType = DataType.fromValueType(outputDataElement.getValueType());
    Map<DimensionalItemId, DimensionalItemObject> outputPeriodItemMap = new HashMap<>();
    Map<DimensionalItemId, DimensionalItemObject> sampledItemMap = new HashMap<>();
    expressionService.getExpressionDimensionalItemMaps(generator.getExpression(), PREDICTOR_EXPRESSION, expressionDataType, outputPeriodItemMap, sampledItemMap);
    Set<String> orgUnitGroupIds = expressionService.getExpressionOrgUnitGroupIds(generator.getExpression(), PREDICTOR_EXPRESSION);
    if (skipTest != null) {
        expressionService.getExpressionDimensionalItemMaps(skipTest.getExpression(), PREDICTOR_SKIP_TEST, DataType.BOOLEAN, sampledItemMap, sampledItemMap);
        orgUnitGroupIds.addAll(expressionService.getExpressionOrgUnitGroupIds(skipTest.getExpression(), PREDICTOR_SKIP_TEST));
    }
    Map<String, OrganisationUnitGroup> orgUnitGroupMap = orgUnitGroupIds.stream().map(organisationUnitGroupService::getOrganisationUnitGroup).filter(Objects::nonNull).collect(Collectors.toMap(OrganisationUnitGroup::getUid, g -> g));
    Map<DimensionalItemId, DimensionalItemObject> itemMap = new HashMap<>(outputPeriodItemMap);
    itemMap.putAll(sampledItemMap);
    Set<DimensionalItemObject> outputPeriodItems = new HashSet<>(outputPeriodItemMap.values());
    Set<DimensionalItemObject> sampledItems = new HashSet<>(sampledItemMap.values());
    Set<DimensionalItemObject> items = new HashSet<>(itemMap.values());
    List<Period> outputPeriods = getPeriodsBetweenDates(predictor.getPeriodType(), startDate, endDate);
    Set<Period> existingOutputPeriods = getExistingPeriods(outputPeriods);
    ListMap<Period, Period> samplePeriodsMap = getSamplePeriodsMap(outputPeriods, predictor);
    Set<Period> allSamplePeriods = samplePeriodsMap.uniqueValues();
    Set<Period> analyticsQueryPeriods = getAnalyticsQueryPeriods(sampledItems, allSamplePeriods, outputPeriodItems, existingOutputPeriods);
    Set<Period> dataValueQueryPeriods = getDataValueQueryPeriods(analyticsQueryPeriods, existingOutputPeriods);
    outputPeriods = periodService.reloadPeriods(outputPeriods);
    CategoryOptionCombo defaultCategoryOptionCombo = categoryService.getDefaultCategoryOptionCombo();
    CategoryOptionCombo outputOptionCombo = predictor.getOutputCombo() == null ? defaultCategoryOptionCombo : predictor.getOutputCombo();
    DataElementOperand outputDataElementOperand = new DataElementOperand(outputDataElement, outputOptionCombo);
    Date now = new Date();
    boolean requireData = generator.getMissingValueStrategy() != NEVER_SKIP && (!items.isEmpty());
    DimensionalItemObject forwardReference = addOuputToItems(outputDataElementOperand, items);
    Set<OrganisationUnit> currentUserOrgUnits = new HashSet<>();
    String storedBy = "system-process";
    User currentUser = currentUserService.getCurrentUser();
    if (currentUser != null) {
        currentUserOrgUnits = currentUser.getOrganisationUnits();
        storedBy = currentUser.getUsername();
    }
    PredictionDataConsolidator consolidator = new PredictionDataConsolidator(items, predictor.getOrganisationUnitDescendants().equals(DESCENDANTS), new PredictionDataValueFetcher(dataValueService, categoryService), new PredictionAnalyticsDataFetcher(analyticsService, categoryService));
    PredictionWriter predictionWriter = new PredictionWriter(dataValueService, batchHandlerFactory);
    predictionWriter.init(existingOutputPeriods, predictionSummary);
    predictionSummary.incrementPredictors();
    for (OrganisationUnitLevel orgUnitLevel : predictor.getOrganisationUnitLevels()) {
        List<OrganisationUnit> orgUnits = organisationUnitService.getOrganisationUnitsAtOrgUnitLevels(Lists.newArrayList(orgUnitLevel), currentUserOrgUnits);
        consolidator.init(currentUserOrgUnits, orgUnitLevel.getLevel(), orgUnits, dataValueQueryPeriods, analyticsQueryPeriods, existingOutputPeriods, outputDataElementOperand);
        PredictionData data;
        while ((data = consolidator.getData()) != null) {
            List<DataValue> predictions = new ArrayList<>();
            List<PredictionContext> contexts = PredictionContextGenerator.getContexts(outputPeriods, data.getValues(), defaultCategoryOptionCombo);
            for (PredictionContext c : contexts) {
                List<Period> samplePeriods = new ArrayList<>(samplePeriodsMap.get(c.getOutputPeriod()));
                samplePeriods.removeAll(getSkippedPeriods(allSamplePeriods, itemMap, c.getPeriodValueMap(), skipTest, orgUnitGroupMap, data.getOrgUnit()));
                if (requireData && !dataIsPresent(outputPeriodItems, c.getValueMap(), sampledItems, samplePeriods, c.getPeriodValueMap())) {
                    continue;
                }
                Object value = expressionService.getExpressionValue(ExpressionParams.builder().expression(predictor.getGenerator().getExpression()).parseType(PREDICTOR_EXPRESSION).dataType(expressionDataType).itemMap(itemMap).valueMap(c.getValueMap()).orgUnitGroupMap(orgUnitGroupMap).days(c.getOutputPeriod().getDaysInPeriod()).missingValueStrategy(generator.getMissingValueStrategy()).orgUnit(data.getOrgUnit()).samplePeriods(samplePeriods).periodValueMap(c.getPeriodValueMap()).build());
                if (value != null || generator.getMissingValueStrategy() == NEVER_SKIP) {
                    String valueString = formatPrediction(value, outputDataElement);
                    if (valueString != null) {
                        DataValue prediction = new DataValue(outputDataElement, c.getOutputPeriod(), data.getOrgUnit(), outputOptionCombo, c.getAttributeOptionCombo(), valueString, storedBy, now, null);
                        carryPredictionForward(prediction, contexts, forwardReference);
                        predictions.add(prediction);
                    }
                }
            }
            predictionWriter.write(predictions, data.getOldPredictions());
        }
    }
    predictionWriter.flush();
}