Optional<PeriodForecast> getBestFitPeriodForecast(ZonedDateTime from, ZonedDateTime to) {
        if (from == null || to == null) {
            return Optional.empty();
        }

        // Making sure that we remove minutes, seconds and milliseconds from the request timestamps
        ZonedDateTime requestFrom = toZeroMSN(from);
        ZonedDateTime requestTo = toZeroMSN(to);

        //  Get list of period forecasts for the requested day. Return empty if date isn't present
        List<PeriodForecast> forecastsList = dayIndex.get(new DayIndexKey(requestFrom));
        if (forecastsList == null) {
            return Optional.empty();
        }

        PeriodForecast chosenForecast = null;
        long score = 0;
        long tmpScore = 0;

        for (PeriodForecast forecast : forecastsList) {
            ZonedDateTime actualFrom = cloneZonedDateTime(forecast.getFrom());

            ZonedDateTime actualTo = cloneZonedDateTime(forecast.getTo());

            if (requestFrom.equals(actualFrom) && requestTo.equals(actualTo)) {
                return Optional.of(forecast);
            } else if (
                    (requestFrom.isBefore(actualFrom) && requestTo.isBefore(actualFrom)) ||
                            (requestFrom.isAfter(actualTo) && requestTo.isAfter(actualTo)) ||
                            actualTo.isEqual(actualFrom)) {
                continue; // this period is outside the requested period or this is a point forecast.
            } else if (requestFrom.isBefore(actualFrom) && requestTo.isBefore(actualTo)) {
                tmpScore = hoursBetween(requestTo, actualFrom);
            } else if ((actualFrom.isBefore(requestFrom) || actualFrom.isEqual(requestFrom)) &&
                    actualTo.isBefore(requestTo)) {
                tmpScore = hoursBetween(actualTo, requestFrom);
            } else if (actualFrom.isAfter(requestFrom) &&
                    (actualTo.isBefore(requestTo) || actualTo.isEqual(requestTo))) {
                tmpScore = hoursBetween(actualTo, actualFrom);
            } else if (actualFrom.isBefore(requestFrom) && actualTo.isAfter(requestTo)) {
                tmpScore = hoursBetween(requestTo, requestFrom);
            } else {
                DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd:HH:mm");
                log.warn("Unhandled forecast Requested period:" + requestFrom.format(formatter) + "--" +
                                 requestTo.format(formatter) + ", Actual period: " +
                                 actualFrom.format(formatter) + "--" + actualTo.format(formatter));
            }

            tmpScore = Math.abs(tmpScore);

            if ((score == 0 && tmpScore > 0) || tmpScore > score) {
                score = tmpScore;
                chosenForecast = forecast;
            }
        }

        return Optional.ofNullable(chosenForecast);
    }
Optional<PeriodForecast> getBestFitPeriodForecast(ZonedDateTime from, ZonedDateTime to) {
        if (from == null || to == null) {
            return Optional.empty();
        }

        
        ZonedDateTime requestFrom = toZeroMSN(from);
        ZonedDateTime requestTo = toZeroMSN(to);

        
        List<PeriodForecast> forecastsList = dayIndex.get(new DayIndexKey(requestFrom));
        if (forecastsList == null) {
            return Optional.empty();
        }

        PeriodForecast chosenForecast = null;
        long score = 0;
        long tmpScore = 0;

        for (PeriodForecast forecast : forecastsList) {
            ZonedDateTime actualFrom = cloneZonedDateTime(forecast.getFrom());

            ZonedDateTime actualTo = cloneZonedDateTime(forecast.getTo());

            if (requestFrom.equals(actualFrom) && requestTo.equals(actualTo)) {
                return Optional.of(forecast);
            } else if (
                    (requestFrom.isBefore(actualFrom) && requestTo.isBefore(actualFrom)) ||
                            (requestFrom.isAfter(actualTo) && requestTo.isAfter(actualTo)) ||
                            actualTo.isEqual(actualFrom)) {
                continue; 
            } else if (requestFrom.isBefore(actualFrom) && requestTo.isBefore(actualTo)) {
                tmpScore = hoursBetween(requestTo, actualFrom);
            } else if ((actualFrom.isBefore(requestFrom) || actualFrom.isEqual(requestFrom)) &&
                    actualTo.isBefore(requestTo)) {
                tmpScore = hoursBetween(actualTo, requestFrom);
            } else if (actualFrom.isAfter(requestFrom) &&
                    (actualTo.isBefore(requestTo) || actualTo.isEqual(requestTo))) {
                tmpScore = hoursBetween(actualTo, actualFrom);
            } else if (actualFrom.isBefore(requestFrom) && actualTo.isAfter(requestTo)) {
                tmpScore = hoursBetween(requestTo, requestFrom);
            } else {
                DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd:HH:mm");
                log.warn("Unhandled forecast Requested period:" + requestFrom.format(formatter) + "--" +
                                 requestTo.format(formatter) + ", Actual period: " +
                                 actualFrom.format(formatter) + "--" + actualTo.format(formatter));
            }

            tmpScore = Math.abs(tmpScore);

            if ((score == 0 && tmpScore > 0) || tmpScore > score) {
                score = tmpScore;
                chosenForecast = forecast;
            }
        }

        return Optional.ofNullable(chosenForecast);
    }
Optional < PeriodForecast > getBestFitPeriodForecast ( ZonedDateTime from , ZonedDateTime to ) { if ( from == null || to == null ) { return Optional . empty ( ) ; } // Making sure that we remove minutes, seconds and milliseconds from the request timestamps ZonedDateTime requestFrom = toZeroMSN ( from ) ; ZonedDateTime requestTo = toZeroMSN ( to ) ; //  Get list of period forecasts for the requested day. Return empty if date isn't present List < PeriodForecast > forecastsList = dayIndex . get ( new DayIndexKey ( requestFrom ) ) ; if ( forecastsList == null ) { return Optional . empty ( ) ; } PeriodForecast chosenForecast = null ; long score = 0 ; long tmpScore = 0 ; for ( PeriodForecast forecast : forecastsList ) { ZonedDateTime actualFrom = cloneZonedDateTime ( forecast . getFrom ( ) ) ; ZonedDateTime actualTo = cloneZonedDateTime ( forecast . getTo ( ) ) ; if ( requestFrom . equals ( actualFrom ) && requestTo . equals ( actualTo ) ) { return Optional . of ( forecast ) ; } else if ( ( requestFrom . isBefore ( actualFrom ) && requestTo . isBefore ( actualFrom ) ) || ( requestFrom . isAfter ( actualTo ) && requestTo . isAfter ( actualTo ) ) || actualTo . isEqual ( actualFrom ) ) { continue ; // this period is outside the requested period or this is a point forecast. } else if ( requestFrom . isBefore ( actualFrom ) && requestTo . isBefore ( actualTo ) ) { tmpScore = hoursBetween ( requestTo , actualFrom ) ; } else if ( ( actualFrom . isBefore ( requestFrom ) || actualFrom . isEqual ( requestFrom ) ) && actualTo . isBefore ( requestTo ) ) { tmpScore = hoursBetween ( actualTo , requestFrom ) ; } else if ( actualFrom . isAfter ( requestFrom ) && ( actualTo . isBefore ( requestTo ) || actualTo . isEqual ( requestTo ) ) ) { tmpScore = hoursBetween ( actualTo , actualFrom ) ; } else if ( actualFrom . isBefore ( requestFrom ) && actualTo . isAfter ( requestTo ) ) { tmpScore = hoursBetween ( requestTo , requestFrom ) ; } else { DateTimeFormatter formatter = DateTimeFormatter . ofPattern ( "yyyy-MM-dd:HH:mm" ) ; log . warn ( "Unhandled forecast Requested period:" + requestFrom . format ( formatter ) + "--" + requestTo . format ( formatter ) + ", Actual period: " + actualFrom . format ( formatter ) + "--" + actualTo . format ( formatter ) ) ; } tmpScore = Math . abs ( tmpScore ) ; if ( ( score == 0 && tmpScore > 0 ) || tmpScore > score ) { score = tmpScore ; chosenForecast = forecast ; } } return Optional . ofNullable ( chosenForecast ) ; }
Find the period forecast that has the best fitted forecast for a given period.

This means a forecast covering the requested period, with to and from time closest possible to that period. If
this function only can find a period forecast that covers parts of the requested period, then the forecast
covering the most will be used.
Find the period forecast that has the best fitted forecast for a given period .