Examples with DateRange org.candlepin.dto.api.v1.DateRange used on opensource projects

Example 1 with DateRange

use of org.candlepin.dto.api.v1.DateRange in project googleads-java-lib by googleads.

the class GetTrafficData method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param advertiserId the ID of the advertiser (company) to forecast for. Setting an advertiser
 *     will cause the forecast to apply the appropriate unified blocking rules.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session) throws RemoteException {
    // Get the ForecastService.
    ForecastServiceInterface forecastService = adManagerServices.get(session, ForecastServiceInterface.class);
    // Get the NetworkService.
    NetworkServiceInterface networkService = adManagerServices.get(session, NetworkServiceInterface.class);
    // Get the root ad unit ID used to target the whole site.
    String rootAdUnitId = networkService.getCurrentNetwork().getEffectiveRootAdUnitId();
    // Create inventory targeting.
    InventoryTargeting inventoryTargeting = new InventoryTargeting();
    // Create ad unit targeting for the root ad unit.
    AdUnitTargeting adUnitTargeting = new AdUnitTargeting();
    adUnitTargeting.setAdUnitId(rootAdUnitId);
    adUnitTargeting.setIncludeDescendants(true);
    inventoryTargeting.setTargetedAdUnits(new AdUnitTargeting[] { adUnitTargeting });
    // Create targeting.
    Targeting targeting = new Targeting();
    targeting.setInventoryTargeting(inventoryTargeting);
    // Create the date range. Include the previous and next 7 days.
    Interval interval = new Interval(Instant.now().plus(Duration.standardDays(-7)), Instant.now().plus(Duration.standardDays(7)));
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(DateTimes.toDateTime(interval.getStart()).getDate());
    dateRange.setEndDate(DateTimes.toDateTime(interval.getEnd()).getDate());
    // Request the traffic data.
    TrafficDataRequest trafficDataRequest = new TrafficDataRequest();
    trafficDataRequest.setRequestedDateRange(dateRange);
    trafficDataRequest.setTargeting(targeting);
    TrafficDataResponse trafficData = forecastService.getTrafficData(trafficDataRequest);
    // Read the historical traffic data.
    TimeSeries historicalTimeSeries = trafficData.getHistoricalTimeSeries();
    if (historicalTimeSeries != null) {
        Date historicalStartDate = historicalTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime historicalStart = new DateTime(historicalStartDate.getYear(), historicalStartDate.getMonth(), historicalStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < historicalTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d historical ad opportunities%n", historicalStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), historicalTimeSeries.getValues()[i]);
        }
    }
    // Read the forecasted traffic data.
    TimeSeries forecastedTimeSeries = trafficData.getForecastedTimeSeries();
    if (forecastedTimeSeries != null) {
        Date forecastedStartDate = forecastedTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime forecastedStart = new DateTime(forecastedStartDate.getYear(), forecastedStartDate.getMonth(), forecastedStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < forecastedTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d forecasted ad opportunities%n", forecastedStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), forecastedTimeSeries.getValues()[i]);
        }
    }
}

Example 2 with DateRange

use of org.candlepin.dto.api.v1.DateRange in project googleads-java-lib by googleads.

the class CreateForecastAdjustments method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param trafficForecastSegmentId the ID of the traffic forecast segment to create the adjustment
 *  for.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session, long trafficForecastSegmentId) throws RemoteException {
    // Get the adjustment service.
    AdjustmentServiceInterface adjustmentService = adManagerServices.get(session, AdjustmentServiceInterface.class);
    ForecastAdjustment forecastAdjustment = new ForecastAdjustment();
    forecastAdjustment.setName("Forecast adjustment #" + new Random().nextInt(Integer.MAX_VALUE));
    forecastAdjustment.setTrafficForecastSegmentId(trafficForecastSegmentId);
    // Set the date range that this adjustment will be applied to.
    Date startDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    Date endDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(startDate);
    dateRange.setEndDate(endDate);
    forecastAdjustment.setDateRange(dateRange);
    // Set the adjustment type to be a historical basis.
    forecastAdjustment.setVolumeType(ForecastAdjustmentVolumeType.HISTORICAL_BASIS_VOLUME);
    HistoricalBasisVolumeSettings settings = new HistoricalBasisVolumeSettings();
    settings.setUseParentTrafficForecastSegmentTargeting(true);
    Date historicalStartDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    Date historicalEndDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    DateRange historicalDateRange = new DateRange();
    historicalDateRange.setStartDate(historicalStartDate);
    historicalDateRange.setEndDate(historicalEndDate);
    settings.setHistoricalDateRange(historicalDateRange);
    settings.setMultiplierMilliPercent(110000L);
    forecastAdjustment.setHistoricalBasisVolumeSettings(settings);
    forecastAdjustment.setStatus(ForecastAdjustmentStatus.ACTIVE);
    // Update the forecast adjustment on the server.
    ForecastAdjustment[] forecastAdjustments = adjustmentService.createForecastAdjustments(new ForecastAdjustment[] { forecastAdjustment });
    for (ForecastAdjustment createdForecastAdjustment : forecastAdjustments) {
        System.out.printf("Forecast adjustment with ID %d and name '%s' was created.%n", createdForecastAdjustment.getId(), createdForecastAdjustment.getName());
    }
}

Example 3 with DateRange

use of org.candlepin.dto.api.v1.DateRange in project googleads-java-lib by googleads.

the class CreateForecastAdjustments method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param trafficForecastSegmentId the ID of the traffic forecast segment to create the adjustment
 *  for.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session, long trafficForecastSegmentId) throws RemoteException {
    // Get the adjustment service.
    AdjustmentServiceInterface adjustmentService = adManagerServices.get(session, AdjustmentServiceInterface.class);
    ForecastAdjustment forecastAdjustment = new ForecastAdjustment();
    forecastAdjustment.setName("Forecast adjustment #" + new Random().nextInt(Integer.MAX_VALUE));
    forecastAdjustment.setTrafficForecastSegmentId(trafficForecastSegmentId);
    // Set the date range that this adjustment will be applied to.
    Date startDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    Date endDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(startDate);
    dateRange.setEndDate(endDate);
    forecastAdjustment.setDateRange(dateRange);
    // Set the adjustment type to be a historical basis.
    forecastAdjustment.setVolumeType(ForecastAdjustmentVolumeType.HISTORICAL_BASIS_VOLUME);
    HistoricalBasisVolumeSettings settings = new HistoricalBasisVolumeSettings();
    settings.setUseParentTrafficForecastSegmentTargeting(true);
    Date historicalStartDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    Date historicalEndDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    DateRange historicalDateRange = new DateRange();
    historicalDateRange.setStartDate(historicalStartDate);
    historicalDateRange.setEndDate(historicalEndDate);
    settings.setHistoricalDateRange(historicalDateRange);
    settings.setMultiplierMilliPercent(110000L);
    forecastAdjustment.setHistoricalBasisVolumeSettings(settings);
    forecastAdjustment.setStatus(ForecastAdjustmentStatus.ACTIVE);
    // Update the forecast adjustment on the server.
    ForecastAdjustment[] forecastAdjustments = adjustmentService.createForecastAdjustments(new ForecastAdjustment[] { forecastAdjustment });
    for (ForecastAdjustment createdForecastAdjustment : forecastAdjustments) {
        System.out.printf("Forecast adjustment with ID %d and name '%s' was created.%n", createdForecastAdjustment.getId(), createdForecastAdjustment.getName());
    }
}

Example 4 with DateRange

use of org.candlepin.dto.api.v1.DateRange in project googleads-java-lib by googleads.

the class GetTrafficData method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param advertiserId the ID of the advertiser (company) to forecast for. Setting an advertiser
 *     will cause the forecast to apply the appropriate unified blocking rules.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session) throws RemoteException {
    // Get the ForecastService.
    ForecastServiceInterface forecastService = adManagerServices.get(session, ForecastServiceInterface.class);
    // Get the NetworkService.
    NetworkServiceInterface networkService = adManagerServices.get(session, NetworkServiceInterface.class);
    // Get the root ad unit ID used to target the whole site.
    String rootAdUnitId = networkService.getCurrentNetwork().getEffectiveRootAdUnitId();
    // Create inventory targeting.
    InventoryTargeting inventoryTargeting = new InventoryTargeting();
    // Create ad unit targeting for the root ad unit.
    AdUnitTargeting adUnitTargeting = new AdUnitTargeting();
    adUnitTargeting.setAdUnitId(rootAdUnitId);
    adUnitTargeting.setIncludeDescendants(true);
    inventoryTargeting.setTargetedAdUnits(new AdUnitTargeting[] { adUnitTargeting });
    // Create targeting.
    Targeting targeting = new Targeting();
    targeting.setInventoryTargeting(inventoryTargeting);
    // Create the date range. Include the previous and next 7 days.
    Interval interval = new Interval(Instant.now().plus(Duration.standardDays(-7)), Instant.now().plus(Duration.standardDays(7)));
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(DateTimes.toDateTime(interval.getStart()).getDate());
    dateRange.setEndDate(DateTimes.toDateTime(interval.getEnd()).getDate());
    // Request the traffic data.
    TrafficDataRequest trafficDataRequest = new TrafficDataRequest();
    trafficDataRequest.setRequestedDateRange(dateRange);
    trafficDataRequest.setTargeting(targeting);
    TrafficDataResponse trafficData = forecastService.getTrafficData(trafficDataRequest);
    // Read the historical traffic data.
    TimeSeries historicalTimeSeries = trafficData.getHistoricalTimeSeries();
    if (historicalTimeSeries != null) {
        Date historicalStartDate = historicalTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime historicalStart = new DateTime(historicalStartDate.getYear(), historicalStartDate.getMonth(), historicalStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < historicalTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d historical ad opportunities%n", historicalStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), historicalTimeSeries.getValues()[i]);
        }
    }
    // Read the forecasted traffic data.
    TimeSeries forecastedTimeSeries = trafficData.getForecastedTimeSeries();
    if (forecastedTimeSeries != null) {
        Date forecastedStartDate = forecastedTimeSeries.getTimeSeriesDateRange().getStartDate();
        DateTime forecastedStart = new DateTime(forecastedStartDate.getYear(), forecastedStartDate.getMonth(), forecastedStartDate.getDay(), 0, 0, 0);
        for (int i = 0; i < forecastedTimeSeries.getValues().length; i++) {
            System.out.printf("%s: %d forecasted ad opportunities%n", forecastedStart.plus(Duration.standardDays(i)).toString(DateTimeFormat.longDate()), forecastedTimeSeries.getValues()[i]);
        }
    }
}

Example 5 with DateRange

use of org.candlepin.dto.api.v1.DateRange in project googleads-java-lib by googleads.

the class CreateForecastAdjustments method runExample.

/**
 * Runs the example.
 *
 * @param adManagerServices the services factory.
 * @param session the session.
 * @param trafficForecastSegmentId the ID of the traffic forecast segment to create the adjustment
 *  for.
 * @throws ApiException if the API request failed with one or more service errors.
 * @throws RemoteException if the API request failed due to other errors.
 */
public static void runExample(AdManagerServices adManagerServices, AdManagerSession session, long trafficForecastSegmentId) throws RemoteException {
    // Get the adjustment service.
    AdjustmentServiceInterface adjustmentService = adManagerServices.get(session, AdjustmentServiceInterface.class);
    ForecastAdjustment forecastAdjustment = new ForecastAdjustment();
    forecastAdjustment.setName("Forecast adjustment #" + new Random().nextInt(Integer.MAX_VALUE));
    forecastAdjustment.setTrafficForecastSegmentId(trafficForecastSegmentId);
    // Set the date range that this adjustment will be applied to.
    Date startDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    Date endDate = new Date(org.joda.time.DateTime.now().plusYears(1).getYear(), 1, 1);
    DateRange dateRange = new DateRange();
    dateRange.setStartDate(startDate);
    dateRange.setEndDate(endDate);
    forecastAdjustment.setDateRange(dateRange);
    // Set the adjustment type to be a historical basis.
    forecastAdjustment.setVolumeType(ForecastAdjustmentVolumeType.HISTORICAL_BASIS_VOLUME);
    HistoricalBasisVolumeSettings settings = new HistoricalBasisVolumeSettings();
    settings.setUseParentTrafficForecastSegmentTargeting(true);
    Date historicalStartDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    Date historicalEndDate = new Date(org.joda.time.DateTime.now().getYear(), 1, 1);
    DateRange historicalDateRange = new DateRange();
    historicalDateRange.setStartDate(historicalStartDate);
    historicalDateRange.setEndDate(historicalEndDate);
    settings.setHistoricalDateRange(historicalDateRange);
    settings.setMultiplierMilliPercent(110000L);
    forecastAdjustment.setHistoricalBasisVolumeSettings(settings);
    forecastAdjustment.setStatus(ForecastAdjustmentStatus.ACTIVE);
    // Update the forecast adjustment on the server.
    ForecastAdjustment[] forecastAdjustments = adjustmentService.createForecastAdjustments(new ForecastAdjustment[] { forecastAdjustment });
    for (ForecastAdjustment createdForecastAdjustment : forecastAdjustments) {
        System.out.printf("Forecast adjustment with ID %d and name '%s' was created.%n", createdForecastAdjustment.getId(), createdForecastAdjustment.getName());
    }
}