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FIrst sketch of TemporalSequenceAggregator
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...ne-query/src/main/kotlin/org/vitrivr/engine/query/aggregate/TemporalSequenceAggregator.kt
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package org.vitrivr.engine.query.aggregate | ||
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import kotlinx.coroutines.CoroutineScope | ||
import kotlinx.coroutines.flow.Flow | ||
import kotlinx.coroutines.flow.flow | ||
import kotlinx.coroutines.flow.toList | ||
import org.vitrivr.engine.core.model.retrievable.Relationship | ||
import org.vitrivr.engine.core.model.retrievable.RetrievableId | ||
import org.vitrivr.engine.core.model.retrievable.Retrieved | ||
import org.vitrivr.engine.core.operators.Operator | ||
import org.vitrivr.engine.core.operators.retrieve.Aggregator | ||
import java.util.* | ||
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class TemporalSequenceAggregator( | ||
override val inputs: List<Operator<Retrieved>> | ||
) : Aggregator<Retrieved, Retrieved> { | ||
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companion object { | ||
const val PADDING_TIME = 1_000_000_000 //1 second in ns | ||
const val MAX_TIME_BETWEEN_STAGES = 10_000_000_000 //10 second in ns | ||
} | ||
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data class ContinuousSequence( | ||
val retrieved: List<Retrieved>, | ||
val start: Long, | ||
val end: Long, | ||
val score: Float, | ||
val stage: Int | ||
) | ||
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override fun toFlow(scope: CoroutineScope): Flow<Retrieved> = flow { | ||
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val inputs = inputs.map { it.toFlow(scope).toList() } | ||
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//pass along results | ||
inputs.asSequence().flatten().forEach { | ||
emit(it) | ||
} | ||
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//start with temporal aggregation | ||
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val continuousSequences = mutableMapOf<RetrievableId, MutableList<ContinuousSequence>>() | ||
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for ((stageCounter, stage) in inputs.withIndex()) { | ||
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val retrievedMap = stage.associateBy { it.id } | ||
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val sources = stage.filter { it.type == "source" } | ||
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for (source in sources) { | ||
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if (source !is Retrieved.RetrievedWithRelationship) { | ||
continue | ||
} | ||
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//get all valid segments per source, sorted by time if available | ||
val segments = source.relationships.asSequence().filter { it.pred == "partOf" && it.obj == source } | ||
.mapNotNull { retrievedMap[it.sub.first] }.filterIsInstance<Retrieved.RetrievedWithProperties>() | ||
.filter { it.properties["start"]?.toLongOrNull() != null && it.properties["end"]?.toLongOrNull() != null } | ||
.sortedBy { it.properties["start"]!!.toLong() }.toList() | ||
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if (segments.isEmpty()) { | ||
continue | ||
} | ||
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val sequences = mutableListOf<MutableList<Retrieved.RetrievedWithProperties>>() | ||
var currentSequence = mutableListOf<Retrieved.RetrievedWithProperties>() | ||
var lastEndTime = -1L | ||
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for (segment in segments) { | ||
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val startTime = segment.properties["start"]!!.toLong() | ||
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//if gap between end of last sequence and start of current segment is larger than padding, start new sequence | ||
if ((lastEndTime + PADDING_TIME) > startTime) { | ||
if (currentSequence.isNotEmpty()) { | ||
sequences.add(currentSequence) | ||
currentSequence = mutableListOf() | ||
} | ||
} | ||
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currentSequence.add(segment) | ||
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lastEndTime = segment.properties["end"]!!.toLong() | ||
} | ||
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if (currentSequence.isNotEmpty()) { | ||
sequences.add(currentSequence) | ||
} | ||
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if (sequences.isEmpty()) { | ||
continue | ||
} | ||
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if (!continuousSequences.containsKey(source.id)) { | ||
continuousSequences[source.id] = mutableListOf() | ||
} | ||
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for (sequence in sequences) { | ||
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val start = sequence.first().properties["start"]!!.toLong() | ||
val end = sequence.last().properties["end"]!!.toLong() | ||
val score = sequence.maxOfOrNull { (it as? Retrieved.RetrievedWithScore)?.score ?: 0f } ?: 0f | ||
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continuousSequences[source.id]!!.add( | ||
ContinuousSequence( | ||
sequence, start, end, score, stageCounter | ||
) | ||
) | ||
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} | ||
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} | ||
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} | ||
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//found all candidates, now construct | ||
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val temporalSequences = mutableListOf<List<ContinuousSequence>>() | ||
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for ((_, sequences) in continuousSequences) { | ||
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val stages = sequences.groupBy { it.stage } | ||
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//sequentially go over all stage indices to try and start sequences | ||
for (startStageId in inputs.indices) { | ||
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for (startSequence in stages[startStageId] ?: emptyList()) { | ||
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val temporalSequence = mutableListOf(startSequence) | ||
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//find best match from next stage to grow sequence | ||
for (nextStageId in ((startStageId + 1) until inputs.size)) { | ||
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val maxStartTime = temporalSequence.last().end + MAX_TIME_BETWEEN_STAGES | ||
stages[nextStageId]?.filter { it.start <= maxStartTime }?.maxBy { it.score }?.let { | ||
temporalSequence.add(it) //add highest scored sequence within range | ||
} | ||
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} | ||
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//if length is at least 2 and not a true subsequence of an existing one, add it | ||
if (temporalSequence.size > 1 && !temporalSequences.any { existingSequence -> | ||
temporalSequence.all { existingSequence.contains(it) } | ||
}) { | ||
temporalSequences.add(temporalSequence) | ||
} | ||
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} | ||
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} | ||
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} | ||
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//transform remaining for emission | ||
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temporalSequences.forEach { sequence -> | ||
val score = sequence.maxOf { it.score } | ||
val id = UUID.randomUUID() | ||
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val retrieved = Retrieved.RetrievedPlusScore( | ||
Retrieved.Default( | ||
id, "temporalSequence", true | ||
), | ||
score | ||
) | ||
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val relationships = sequence.flatMap { | ||
it.retrieved.map { r -> Relationship(r.id to null, "partOf", id to null) } | ||
}.toSet() | ||
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emit( | ||
Retrieved.ScorePlusRelationship( | ||
retrieved, relationships | ||
) | ||
) | ||
} | ||
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} | ||
} |