diff --git a/src/main/kotlin/com/smartelect/App.kt b/src/main/kotlin/com/smartelect/App.kt index 4aab6c5..3d73666 100644 --- a/src/main/kotlin/com/smartelect/App.kt +++ b/src/main/kotlin/com/smartelect/App.kt @@ -31,10 +31,10 @@ class App { } data class ThumbprintPair( - val entity_uuid: UUID, - val center_id: Int, - val right_thumbprint_scan: FingerprintTemplate, - val left_thumbprint_scan: FingerprintTemplate + val entityUuid: UUID, + val groupId: String, + val rightThumbprintScan: FingerprintTemplate, + val leftThumbprintScan: FingerprintTemplate ) // Custom ThreadFactory to set UncaughtExceptionHandler @@ -93,7 +93,7 @@ class Hello : CliktCommand() { }.map { ThumbprintPair( UUID.fromString(it["entity_uuid"]), - it["center_id"]!!.toInt(), + it["group_id"]!!, importTemplate(Hex.decodeHex(it["right_thumbprint_scan"]!!)), importTemplate(Hex.decodeHex(it["left_thumbprint_scan"]!!)) ) @@ -106,13 +106,13 @@ class Hello : CliktCommand() { candidates: List ): Long { // Create matchers for left and right thumbprints - val leftMatcher = FingerprintMatcher(subject.left_thumbprint_scan) - val rightMatcher = FingerprintMatcher(subject.right_thumbprint_scan) + val leftMatcher = FingerprintMatcher(subject.leftThumbprintScan) + val rightMatcher = FingerprintMatcher(subject.rightThumbprintScan) for (candidate in candidates) { - val leftScore = performMatch(leftMatcher, candidate.left_thumbprint_scan) - val rightScore = performMatch(rightMatcher, candidate.right_thumbprint_scan) + val leftScore = performMatch(leftMatcher, candidate.leftThumbprintScan) + val rightScore = performMatch(rightMatcher, candidate.rightThumbprintScan) if (leftScore > outputScoreLimit || rightScore > outputScoreLimit) - println("${subject.entity_uuid},${candidate.entity_uuid},$leftScore,$rightScore") + println("${subject.entityUuid},${subject.groupId},${candidate.entityUuid},${candidate.groupId},$leftScore,$rightScore") } return candidates.size.toLong() } @@ -137,7 +137,7 @@ class Hello : CliktCommand() { // Create a thread pool to process the matching calculations in parallel val workerPool: ExecutorService = Executors.newFixedThreadPool(threadCount, CustomThreadFactory()) - println("subject_entity_uuid,candidate_entity_uuid,left_score,right_score") + println("subject_entityUuid,subject_groupId,candidate_entityUuid,candidate_groupId,left_score,right_score") val (totalMatches, matchTimeTaken) = measureTimedValue { combinations.map { (subject, candidates) -> workerPool.submit {