Added 5-minute, hour and day aggregator
Former-commit-id: c02ec9ab1b0298c0b0e3f03b8ce5c3d6bdba21b2
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1 changed files with 129 additions and 21 deletions
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@ -3,6 +3,7 @@ package se.koc.hal.deamon;
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import java.sql.ResultSet;
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import java.sql.SQLException;
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import java.sql.Statement;
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import java.util.Locale;
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import java.util.Timer;
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import java.util.TimerTask;
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import java.util.logging.Logger;
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@ -21,6 +22,8 @@ import zutil.log.LogUtil;
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public class DataAggregatorDaemon extends TimerTask implements HalDaemon {
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private static final Logger logger = LogUtil.getLogger();
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private static final int FIVE_MINUTES_IN_MS = 5 * 60 * 1000;
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private static final int HOUR_IN_MS = FIVE_MINUTES_IN_MS * 12;
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private static final int DAY_IN_MS = HOUR_IN_MS * 24;
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public void initiate(Timer timer){
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@ -33,28 +36,68 @@ public class DataAggregatorDaemon extends TimerTask implements HalDaemon {
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public void run() {
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DBConnection db = PowerChallenge.db;
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try {
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Long maxTimestampEnd = db.exec("SELECT MAX(timestamp_end) FROM sensor_data_aggr", new SimpleSQLHandler<Long>());
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if(maxTimestampEnd == null)
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maxTimestampEnd = 0l;
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logger.fine("Calculating 5 min periods...");
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long intervallTimestamp = getTimestampPeriodStart(5, System.currentTimeMillis());
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db.exec("SELECT * FROM sensor_data_raw WHERE timestamp > " + maxTimestampEnd + " AND timestamp < " + intervallTimestamp + " ORDER BY timestamp ASC", new FiveMinuteAgrrigator());
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Long maxDBTimestamp = db.exec("SELECT MAX(timestamp_end) FROM sensor_data_aggr", new SimpleSQLHandler<Long>());
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if(maxDBTimestamp == null)
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maxDBTimestamp = 0l;
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// 5 minute aggregation
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long minPeriodTimestamp = getTimestampMinutePeriodStart(5, System.currentTimeMillis());
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logger.fine("Calculating 5 min periods... (from:"+ maxDBTimestamp +", to:"+ minPeriodTimestamp +")");
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db.exec("SELECT * FROM sensor_data_raw "
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+ "WHERE timestamp > " + maxDBTimestamp + " AND timestamp < " + minPeriodTimestamp
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+ " ORDER BY timestamp ASC",
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new FiveMinuteAggregator());
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// hour aggregation
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maxDBTimestamp = db.exec("SELECT MAX(timestamp_end) FROM sensor_data_aggr WHERE timestamp_end-timestamp_start == " + (HOUR_IN_MS-1), new SimpleSQLHandler<Long>());
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if(maxDBTimestamp == null)
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maxDBTimestamp = 0l;
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long hourPeriodTimestamp = getTimestampMinutePeriodStart(60, System.currentTimeMillis());
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logger.fine("Calculating hour periods... (from:"+ maxDBTimestamp +", to:"+ minPeriodTimestamp +")");
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db.exec("SELECT * FROM sensor_data_aggr "
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+ "WHERE timestamp_start > " + maxDBTimestamp + " AND timestamp_start < " + hourPeriodTimestamp + " AND timestamp_end-timestamp_start == " + (FIVE_MINUTES_IN_MS-1)
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+" ORDER BY timestamp_start ASC",
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new HourAggregator());
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// day aggregation
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maxDBTimestamp = db.exec("SELECT MAX(timestamp_end) FROM sensor_data_aggr WHERE timestamp_end-timestamp_start == " + (DAY_IN_MS-1), new SimpleSQLHandler<Long>());
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if(maxDBTimestamp == null)
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maxDBTimestamp = 0l;
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long dayPeriodTimestamp = getTimestampHourPeriodStart(24, System.currentTimeMillis());
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logger.fine("Calculating day periods... (from:"+ maxDBTimestamp +", to:"+ minPeriodTimestamp +")");
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db.exec("SELECT * FROM sensor_data_aggr "
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+ "WHERE timestamp_start > " + maxDBTimestamp + " AND timestamp_start < " + dayPeriodTimestamp + " AND timestamp_end-timestamp_start == " + (HOUR_IN_MS-1)
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+" ORDER BY timestamp_start ASC",
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new DayAggregator());
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logger.fine("Done aggrigating");
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} catch (SQLException e) {
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e.printStackTrace();
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}
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}
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private static long getTimestampPeriodStart(int min, long timestamp){
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private static long getTimestampHourPeriodStart(int hour, long timestamp){
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Calendar cal = Calendar.getInstance();
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cal.setTimeInMillis(System.currentTimeMillis());
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int currentMinute = cal.get(Calendar.MINUTE);
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cal.set(Calendar.MINUTE, (currentMinute/min) * min);
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cal.setTimeInMillis(timestamp);
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int currentMinute = cal.get(Calendar.HOUR_OF_DAY);
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cal.set(Calendar.HOUR_OF_DAY, (currentMinute/hour) * hour);
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cal.set(Calendar.MINUTE, 0);
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cal.set(Calendar.SECOND, 0);
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cal.set(Calendar.MILLISECOND, 0);
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return cal.getTimeInMillis();
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}
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private class FiveMinuteAgrrigator implements SQLResultHandler<Object>{
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private static long getTimestampMinutePeriodStart(int min, long timestamp){
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Calendar cal = Calendar.getInstance();
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cal.setTimeInMillis(timestamp);
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int currentMinute = cal.get(Calendar.MINUTE);
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cal.set(Calendar.MINUTE, (currentMinute/min) * min);
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cal.set(Calendar.SECOND, 0);
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cal.set(Calendar.MILLISECOND, 0);
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return cal.getTimeInMillis();
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}
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private class FiveMinuteAggregator implements SQLResultHandler<Object>{
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@Override
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public Object handleQueryResult(Statement stmt, ResultSet result) throws SQLException {
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long currentPeriodTimestamp = 0;
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@ -62,11 +105,11 @@ public class DataAggregatorDaemon extends TimerTask implements HalDaemon {
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int count = 0;
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while(result.next()){
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long timestamp = result.getLong("timestamp");
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long periodTimestamp = getTimestampPeriodStart(5, timestamp);
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long periodTimestamp = getTimestampMinutePeriodStart(5, timestamp);
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if(currentPeriodTimestamp != 0 && periodTimestamp != currentPeriodTimestamp){
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float confidence = count / 5f;
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logger.finer("Calculated period: "+ currentPeriodTimestamp +" sum: "+ sum +" confidence: "+ confidence);
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PowerChallenge.db.exec(String.format("INSERT INTO sensor_data_aggr(sensor_id, sequence_id, timestamp_start, timestamp_end, data, confidence) VALUES(%d, %d, %d, %d, %d, %f)",
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float confidence = Math.min(count / 5f, 1.0f);
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logger.finer("Calculated minute period: "+ currentPeriodTimestamp +" sum: "+ sum +" confidence: "+ confidence);
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PowerChallenge.db.exec(String.format(Locale.US, "INSERT INTO sensor_data_aggr(sensor_id, sequence_id, timestamp_start, timestamp_end, data, confidence) VALUES(%d, %d, %d, %d, %d, %f)",
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result.getInt("sensor_id"),
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42,
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currentPeriodTimestamp,
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@ -75,16 +118,81 @@ public class DataAggregatorDaemon extends TimerTask implements HalDaemon {
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confidence));
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// Reset variables
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periodTimestamp = currentPeriodTimestamp;
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sum = count = 0;
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currentPeriodTimestamp = periodTimestamp;
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confidence = sum = 0;
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}
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if(currentPeriodTimestamp == 0) currentPeriodTimestamp = periodTimestamp;
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sum += result.getInt("data");
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++count;
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}
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return null;
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}
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}
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}
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private class HourAggregator implements SQLResultHandler<Object>{
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@Override
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public Object handleQueryResult(Statement stmt, ResultSet result) throws SQLException {
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long currentPeriodTimestamp = 0;
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int sum = 0;
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float confidenceSum = 0;
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while(result.next()){
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long timestamp = result.getLong("timestamp_start");
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long periodTimestamp = getTimestampMinutePeriodStart(60, timestamp);
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if(currentPeriodTimestamp != 0 && periodTimestamp != currentPeriodTimestamp){
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float aggrConfidence = confidenceSum / 12f;
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logger.finer("Calculated hour period: "+ currentPeriodTimestamp +" sum: "+ sum +" confidence: "+ aggrConfidence);
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PowerChallenge.db.exec(String.format(Locale.US, "INSERT INTO sensor_data_aggr(sensor_id, sequence_id, timestamp_start, timestamp_end, data, confidence) VALUES(%d, %d, %d, %d, %d, %f)",
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result.getInt("sensor_id"),
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42,
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currentPeriodTimestamp,
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currentPeriodTimestamp + HOUR_IN_MS -1,
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sum,
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aggrConfidence));
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// Reset variables
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currentPeriodTimestamp = periodTimestamp;
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confidenceSum = sum = 0;
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}
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if(currentPeriodTimestamp == 0) currentPeriodTimestamp = periodTimestamp;
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sum += result.getInt("data");
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confidenceSum += result.getFloat("confidence");
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}
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return null;
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}
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}
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private class DayAggregator implements SQLResultHandler<Object>{
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@Override
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public Object handleQueryResult(Statement stmt, ResultSet result) throws SQLException {
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long currentPeriodTimestamp = 0;
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int sum = 0;
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float confidenceSum = 0;
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int samples = 0;
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while(result.next()){
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long timestamp = result.getLong("timestamp_start");
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long periodTimestamp = getTimestampHourPeriodStart(24, timestamp);
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if(currentPeriodTimestamp != 0 && periodTimestamp != currentPeriodTimestamp){
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float aggrConfidence = confidenceSum / 24f;
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logger.finer("Calculated day period: "+ currentPeriodTimestamp +" sum: "+ sum +" confidence: "+ aggrConfidence+ " samples: " + samples);
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PowerChallenge.db.exec(String.format(Locale.US, "INSERT INTO sensor_data_aggr(sensor_id, sequence_id, timestamp_start, timestamp_end, data, confidence) VALUES(%d, %d, %d, %d, %d, %f)",
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result.getInt("sensor_id"),
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42,
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currentPeriodTimestamp,
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currentPeriodTimestamp + DAY_IN_MS -1,
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sum,
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aggrConfidence));
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// Reset variables
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currentPeriodTimestamp = periodTimestamp;
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confidenceSum = sum = 0;
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samples = 0;
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}
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if(currentPeriodTimestamp == 0) currentPeriodTimestamp = periodTimestamp;
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sum += result.getInt("data");
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confidenceSum += result.getFloat("confidence");
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samples++;
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}
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return null;
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}
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}
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}
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