diff --git a/mobile/lib/services/filedata/filedata_service.dart b/mobile/lib/services/filedata/filedata_service.dart index ec4c27fb17..1d7d184050 100644 --- a/mobile/lib/services/filedata/filedata_service.dart +++ b/mobile/lib/services/filedata/filedata_service.dart @@ -48,11 +48,11 @@ class FileDataService { Future getFilesData( Set fileIds, { - DataType type = DataType.derivedMeta, + DataType type = DataType.mlData, }) async { try { final res = await _dio.post( - "/files/fetch-data/", + "/files/data/fetch", data: { "fileIDs": fileIds.toList(), "type": type.toJson(), diff --git a/mobile/lib/services/filedata/model/file_data.dart b/mobile/lib/services/filedata/model/file_data.dart index f6f501e47b..2c06cf601c 100644 --- a/mobile/lib/services/filedata/model/file_data.dart +++ b/mobile/lib/services/filedata/model/file_data.dart @@ -4,7 +4,7 @@ const _faceKey = 'face'; const _clipKey = 'clip'; enum DataType { - derivedMeta('derivedMeta'); + mlData('mldata'); final String value; const DataType(this.value); @@ -34,7 +34,7 @@ class FileDataEntity { ); void validate() { - if (type == DataType.derivedMeta) { + if (type == DataType.mlData) { if (remoteRawData[_faceKey] == null) { throw Exception('Face embedding is null'); } @@ -64,12 +64,12 @@ class FileDataEntity { } void putFace(RemoteFaceEmbedding faceEmbedding) { - assert(type == DataType.derivedMeta, 'Invalid type ${type.value}'); + assert(type == DataType.mlData, 'Invalid type ${type.value}'); remoteRawData[_faceKey] = faceEmbedding.toJson(); } void putClip(RemoteClipEmbedding clipEmbedding) { - assert(type == DataType.derivedMeta, 'Invalid type ${type.value}'); + assert(type == DataType.mlData, 'Invalid type ${type.value}'); remoteRawData[_clipKey] = clipEmbedding.toJson(); } diff --git a/mobile/lib/services/machine_learning/ml_service.dart b/mobile/lib/services/machine_learning/ml_service.dart index 7db1ea13a4..7bf0e2dfd5 100644 --- a/mobile/lib/services/machine_learning/ml_service.dart +++ b/mobile/lib/services/machine_learning/ml_service.dart @@ -453,7 +453,7 @@ class MLService { final FileDataEntity dataEntity = instruction.existingRemoteFileML ?? FileDataEntity.empty( instruction.file.uploadedFileID!, - DataType.derivedMeta, + DataType.mlData, ); if (result.facesRan) { dataEntity.putFace(