-
Notifications
You must be signed in to change notification settings - Fork 5
/
InfluxDbWeatherSource.java
237 lines (216 loc) · 9.93 KB
/
InfluxDbWeatherSource.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
/*
* © 2021. TU Dortmund University,
* Institute of Energy Systems, Energy Efficiency and Energy Economics,
* Research group Distribution grid planning and operation
*/
package edu.ie3.datamodel.io.source.influxdb;
import edu.ie3.datamodel.io.connectors.InfluxDbConnector;
import edu.ie3.datamodel.io.factory.timeseries.TimeBasedWeatherValueData;
import edu.ie3.datamodel.io.factory.timeseries.TimeBasedWeatherValueFactory;
import edu.ie3.datamodel.io.source.IdCoordinateSource;
import edu.ie3.datamodel.io.source.WeatherSource;
import edu.ie3.datamodel.models.timeseries.individual.IndividualTimeSeries;
import edu.ie3.datamodel.models.timeseries.individual.TimeBasedValue;
import edu.ie3.datamodel.models.value.WeatherValue;
import edu.ie3.datamodel.utils.Try;
import edu.ie3.util.StringUtils;
import edu.ie3.util.interval.ClosedInterval;
import java.time.ZonedDateTime;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.influxdb.InfluxDB;
import org.influxdb.dto.Query;
import org.influxdb.dto.QueryResult;
import org.locationtech.jts.geom.Point;
/** InfluxDB Source for weather data */
public class InfluxDbWeatherSource extends WeatherSource {
private static final String BASIC_QUERY_STRING = "Select * from weather";
private static final String WHERE = " where ";
private static final String AND = " and ";
private static final String MEASUREMENT_NAME_WEATHER = "weather";
private static final String COORDINATE_ID_COLUMN_NAME = "coordinate_id";
private static final int MILLI_TO_NANO_FACTOR = 1000000;
private final InfluxDbConnector connector;
/**
* Initializes a new InfluxDbWeatherSource
*
* @param connector needed for database connection
* @param idCoordinateSource needed to map coordinates to ID as InfluxDB does not support spatial
* types
* @param weatherValueFactory instance of a time based weather value factory
*/
public InfluxDbWeatherSource(
InfluxDbConnector connector,
IdCoordinateSource idCoordinateSource,
TimeBasedWeatherValueFactory weatherValueFactory) {
super(idCoordinateSource, weatherValueFactory);
this.connector = connector;
getSourceFields(WeatherValue.class)
.ifPresent(s -> weatherValueFactory.validate(s, WeatherValue.class).getOrThrow());
}
@Override
public <C extends WeatherValue> Optional<Set<String>> getSourceFields(Class<C> entityClass) {
return connector.getSourceFields(entityClass);
}
@Override
public Map<Point, IndividualTimeSeries<WeatherValue>> getWeather(
ClosedInterval<ZonedDateTime> timeInterval) {
try (InfluxDB session = connector.getSession()) {
String query = createQueryStringForTimeInterval(timeInterval);
QueryResult queryResult = session.query(new Query(query));
Stream<Optional<TimeBasedValue<WeatherValue>>> optValues =
optTimeBasedValueStream(queryResult);
Set<TimeBasedValue<WeatherValue>> timeBasedValues =
filterEmptyOptionals(optValues).collect(Collectors.toSet());
Map<Point, Set<TimeBasedValue<WeatherValue>>> coordinateToValues =
timeBasedValues.stream()
.collect(
Collectors.groupingBy(
timeBasedWeatherValue -> timeBasedWeatherValue.getValue().getCoordinate(),
Collectors.toSet()));
return coordinateToValues.entrySet().stream()
.collect(
Collectors.toMap(
Map.Entry::getKey, e -> new IndividualTimeSeries<>(null, e.getValue())));
}
}
@Override
public Map<Point, IndividualTimeSeries<WeatherValue>> getWeather(
ClosedInterval<ZonedDateTime> timeInterval, Collection<Point> coordinates) {
if (coordinates == null) return getWeather(timeInterval);
Map<Point, Optional<Integer>> coordinatesToId =
coordinates.stream().collect(Collectors.toMap(point -> point, idCoordinateSource::getId));
HashMap<Point, IndividualTimeSeries<WeatherValue>> coordinateToTimeSeries = new HashMap<>();
try (InfluxDB session = connector.getSession()) {
for (Map.Entry<Point, Optional<Integer>> entry : coordinatesToId.entrySet()) {
Optional<Integer> coordinateId = entry.getValue();
if (coordinateId.isPresent()) {
String query =
createQueryStringForCoordinateAndTimeInterval(timeInterval, coordinateId.get());
QueryResult queryResult = session.query(new Query(query));
Stream<Optional<TimeBasedValue<WeatherValue>>> optValues =
optTimeBasedValueStream(queryResult);
Set<TimeBasedValue<WeatherValue>> timeBasedValues =
filterEmptyOptionals(optValues).collect(Collectors.toSet());
IndividualTimeSeries<WeatherValue> timeSeries =
new IndividualTimeSeries<>(null, timeBasedValues);
coordinateToTimeSeries.put(entry.getKey(), timeSeries);
}
}
}
return coordinateToTimeSeries;
}
@Override
public Optional<TimeBasedValue<WeatherValue>> getWeather(ZonedDateTime date, Point coordinate) {
Optional<Integer> coordinateId = idCoordinateSource.getId(coordinate);
if (coordinateId.isEmpty()) {
return Optional.empty();
}
try (InfluxDB session = connector.getSession()) {
String query = createQueryStringForCoordinateAndTime(date, coordinateId.get());
QueryResult queryResult = session.query(new Query(query));
return filterEmptyOptionals(optTimeBasedValueStream(queryResult)).findFirst();
}
}
/**
* Return the weather for the given time interval AND coordinate
*
* @param timeInterval Queried time interval
* @param coordinate Queried coordinate
* @return weather data for the specified time and coordinate
*/
public IndividualTimeSeries<WeatherValue> getWeather(
ClosedInterval<ZonedDateTime> timeInterval, Point coordinate) {
Optional<Integer> coordinateId = idCoordinateSource.getId(coordinate);
if (coordinateId.isEmpty()) {
return new IndividualTimeSeries<>(UUID.randomUUID(), Collections.emptySet());
}
try (InfluxDB session = connector.getSession()) {
String query =
createQueryStringForCoordinateAndTimeInterval(timeInterval, coordinateId.get());
QueryResult queryResult = session.query(new Query(query));
Stream<Optional<TimeBasedValue<WeatherValue>>> optValues =
optTimeBasedValueStream(queryResult);
return new IndividualTimeSeries<>(
null, filterEmptyOptionals(optValues).collect(Collectors.toSet()));
}
}
// -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
/**
* Parses an influxQL QueryResult and then transforms it into a Stream of optional
* TimeBasedValue<WeatherValue>, with a present Optional value if the transformation was
* successful and an empty Optional otherwise.
*/
private Stream<Optional<TimeBasedValue<WeatherValue>>> optTimeBasedValueStream(
QueryResult queryResult) {
Map<String, Set<Map<String, String>>> measurementsMap =
InfluxDbConnector.parseQueryResult(queryResult, MEASUREMENT_NAME_WEATHER);
final String coordinateIdFieldName = weatherFactory.getCoordinateIdFieldString();
return measurementsMap.get(MEASUREMENT_NAME_WEATHER).stream()
.map(
fieldToValue -> {
/* The factory expects flat case id's for fields -> Convert the keys */
Map<String, String> flatCaseFields =
fieldToValue.entrySet().stream()
.collect(
Collectors.toMap(
entry -> StringUtils.snakeCaseToCamelCase(entry.getKey()),
Map.Entry::getValue));
/* Add a random UUID if necessary */
flatCaseFields.putIfAbsent("uuid", UUID.randomUUID().toString());
/* Get the corresponding coordinate id from map AND REMOVE THE ENTRY !!! */
int coordinateId = Integer.parseInt(flatCaseFields.remove(coordinateIdFieldName));
return idCoordinateSource
.getCoordinate(coordinateId)
.map(point -> new TimeBasedWeatherValueData(flatCaseFields, point))
.map(weatherFactory::get)
.flatMap(Try::getData);
});
}
private String createQueryStringForCoordinateAndTimeInterval(
ClosedInterval<ZonedDateTime> timeInterval, int coordinateId) {
return BASIC_QUERY_STRING
+ WHERE
+ createCoordinateConstraintString(coordinateId)
+ AND
+ createTimeConstraint(timeInterval);
}
private String createQueryStringForCoordinateAndTime(ZonedDateTime date, int coordinateId) {
return BASIC_QUERY_STRING
+ WHERE
+ createCoordinateConstraintString(coordinateId)
+ AND
+ createTimeConstraint(date);
}
private String createQueryStringForTimeInterval(ClosedInterval<ZonedDateTime> timeInterval) {
return BASIC_QUERY_STRING + WHERE + createTimeConstraint(timeInterval);
}
private String createTimeConstraint(ClosedInterval<ZonedDateTime> timeInterval) {
return weatherFactory.getTimeFieldString()
+ " >= "
+ timeInterval.getLower().toInstant().toEpochMilli() * MILLI_TO_NANO_FACTOR
+ AND
+ weatherFactory.getTimeFieldString()
+ " <= "
+ timeInterval.getUpper().toInstant().toEpochMilli() * MILLI_TO_NANO_FACTOR;
}
private String createTimeConstraint(ZonedDateTime date) {
return weatherFactory.getTimeFieldString()
+ "="
+ date.toInstant().toEpochMilli() * MILLI_TO_NANO_FACTOR;
}
private String createCoordinateConstraintString(int coordinateId) {
return COORDINATE_ID_COLUMN_NAME + "='" + coordinateId + "'";
}
/**
* Removes empty Optionals
*
* @param elements stream to filter
* @return filtered elements Stream
*/
protected Stream<TimeBasedValue<WeatherValue>> filterEmptyOptionals(
Stream<Optional<TimeBasedValue<WeatherValue>>> elements) {
return elements.flatMap(Optional::stream);
}
}