GoogleCloudAiplatformV1ModelDeploymentMonitoringJob.fromJson constructor

GoogleCloudAiplatformV1ModelDeploymentMonitoringJob.fromJson(
  1. Map json_
)

Implementation

GoogleCloudAiplatformV1ModelDeploymentMonitoringJob.fromJson(core.Map json_)
    : this(
        analysisInstanceSchemaUri:
            json_['analysisInstanceSchemaUri'] as core.String?,
        bigqueryTables: (json_['bigqueryTables'] as core.List?)
            ?.map((value) =>
                GoogleCloudAiplatformV1ModelDeploymentMonitoringBigQueryTable
                    .fromJson(value as core.Map<core.String, core.dynamic>))
            .toList(),
        createTime: json_['createTime'] as core.String?,
        displayName: json_['displayName'] as core.String?,
        enableMonitoringPipelineLogs:
            json_['enableMonitoringPipelineLogs'] as core.bool?,
        encryptionSpec: json_.containsKey('encryptionSpec')
            ? GoogleCloudAiplatformV1EncryptionSpec.fromJson(
                json_['encryptionSpec']
                    as core.Map<core.String, core.dynamic>)
            : null,
        endpoint: json_['endpoint'] as core.String?,
        error: json_.containsKey('error')
            ? GoogleRpcStatus.fromJson(
                json_['error'] as core.Map<core.String, core.dynamic>)
            : null,
        labels:
            (json_['labels'] as core.Map<core.String, core.dynamic>?)?.map(
          (key, value) => core.MapEntry(
            key,
            value as core.String,
          ),
        ),
        latestMonitoringPipelineMetadata: json_
                .containsKey('latestMonitoringPipelineMetadata')
            ? GoogleCloudAiplatformV1ModelDeploymentMonitoringJobLatestMonitoringPipelineMetadata
                .fromJson(json_['latestMonitoringPipelineMetadata']
                    as core.Map<core.String, core.dynamic>)
            : null,
        logTtl: json_['logTtl'] as core.String?,
        loggingSamplingStrategy: json_.containsKey('loggingSamplingStrategy')
            ? GoogleCloudAiplatformV1SamplingStrategy.fromJson(
                json_['loggingSamplingStrategy']
                    as core.Map<core.String, core.dynamic>)
            : null,
        modelDeploymentMonitoringObjectiveConfigs: (json_[
                'modelDeploymentMonitoringObjectiveConfigs'] as core.List?)
            ?.map((value) =>
                GoogleCloudAiplatformV1ModelDeploymentMonitoringObjectiveConfig
                    .fromJson(value as core.Map<core.String, core.dynamic>))
            .toList(),
        modelDeploymentMonitoringScheduleConfig: json_
                .containsKey('modelDeploymentMonitoringScheduleConfig')
            ? GoogleCloudAiplatformV1ModelDeploymentMonitoringScheduleConfig
                .fromJson(json_['modelDeploymentMonitoringScheduleConfig']
                    as core.Map<core.String, core.dynamic>)
            : null,
        modelMonitoringAlertConfig:
            json_.containsKey('modelMonitoringAlertConfig')
                ? GoogleCloudAiplatformV1ModelMonitoringAlertConfig.fromJson(
                    json_['modelMonitoringAlertConfig']
                        as core.Map<core.String, core.dynamic>)
                : null,
        name: json_['name'] as core.String?,
        nextScheduleTime: json_['nextScheduleTime'] as core.String?,
        predictInstanceSchemaUri:
            json_['predictInstanceSchemaUri'] as core.String?,
        samplePredictInstance: json_['samplePredictInstance'],
        satisfiesPzi: json_['satisfiesPzi'] as core.bool?,
        satisfiesPzs: json_['satisfiesPzs'] as core.bool?,
        scheduleState: json_['scheduleState'] as core.String?,
        state: json_['state'] as core.String?,
        statsAnomaliesBaseDirectory:
            json_.containsKey('statsAnomaliesBaseDirectory')
                ? GoogleCloudAiplatformV1GcsDestination.fromJson(
                    json_['statsAnomaliesBaseDirectory']
                        as core.Map<core.String, core.dynamic>)
                : null,
        updateTime: json_['updateTime'] as core.String?,
      );