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cdk-iam-floyd

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AWS IAM policy statement generator with fluent interface for AWS CDK

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import { AccessLevelList } from '../../shared/access-level'; import { PolicyStatement, Operator } from '../../shared'; import { aws_iam as iam } from "aws-cdk-lib"; /** * Statement provider for service [sagemaker-mlflow](https://docs.aws.amazon.com/service-authorization/latest/reference/list_amazonsagemakerwithmlflow.html). * * @param sid [SID](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_sid.html) of the statement */ export declare class SagemakerMlflow extends PolicyStatement { servicePrefix: string; /** * Grants permission to access the MLflow UI * * Access Level: Read */ toAccessUI(): this; /** * Grants permission to create an MLflow experiment * * Access Level: Write */ toCreateExperiment(): this; /** * Grants permission to create a new model version * * Access Level: Write */ toCreateModelVersion(): this; /** * Grants permission to create a registered model * * Access Level: Write */ toCreateRegisteredModel(): this; /** * Grants permission to create a new run within an experiment * * Access Level: Write */ toCreateRun(): this; /** * Grants permission to mark an MLflow experiment for deletion * * Access Level: Write */ toDeleteExperiment(): this; /** * Grants permission to delete a logged model in MLflow * * Access Level: Write */ toDeleteLoggedModel(): this; /** * Grants permission to delete a tag for a logged model in MLflow * * Access Level: Write */ toDeleteLoggedModelTag(): this; /** * Grants permission to delete a model version * * Access Level: Write */ toDeleteModelVersion(): this; /** * Grants permission to delete a model version tag * * Access Level: Write */ toDeleteModelVersionTag(): this; /** * Grants permission to delete a registered model * * Access Level: Write */ toDeleteRegisteredModel(): this; /** * Grants permission to delete a registered model alias * * Access Level: Write */ toDeleteRegisteredModelAlias(): this; /** * Grants permission to delete a registered model tag * * Access Level: Write */ toDeleteRegisteredModelTag(): this; /** * Grants permission to mark a run for deletion * * Access Level: Write */ toDeleteRun(): this; /** * Grants permission to delete a tag on a run * * Access Level: Write */ toDeleteTag(): this; /** * Grants permission to delete a trace tag in MLflow * * Access Level: Write */ toDeleteTraceTag(): this; /** * Grants permission to delete traces in MLflow * * Access Level: Write */ toDeleteTraces(): this; /** * Grants permission to end a trace in MLflow * * Access Level: Write */ toEndTrace(): this; /** * Grants permission to set status for a logged model in MLflow * * Access Level: Write */ toFinalizeLoggedModel(): this; /** * Grants permission to get a URI to download model artifacts for a specific model version * * Access Level: Read */ toGetDownloadURIForModelVersionArtifacts(): this; /** * Grants permission to get metadata for an MLflow experiment * * Access Level: Read */ toGetExperiment(): this; /** * Grants permission to get metadata for an MLflow experiment by name * * Access Level: Read */ toGetExperimentByName(): this; /** * Grants permission to get the latest model versions * * Access Level: List */ toGetLatestModelVersions(): this; /** * Grants permission to get a logged model in MLflow * * Access Level: Read */ toGetLoggedModel(): this; /** * Grants permission to get a list of all values for the specified metric for a given run * * Access Level: Read */ toGetMetricHistory(): this; /** * Grants permission to get a model version by model name and version * * Access Level: Read */ toGetModelVersion(): this; /** * Grants permission to get model version by alias in MLflow * * Access Level: Read */ toGetModelVersionByAlias(): this; /** * Grants permission to get a registered model * * Access Level: Read */ toGetRegisteredModel(): this; /** * Grants permission to get metadata, metrics, parameters, and tags for a run * * Access Level: Read */ toGetRun(): this; /** * Grants permission to get information about a trace in MLflow * * Access Level: Read */ toGetTraceInfo(): this; /** * Grants permission to list artifacts for a run * * Access Level: List */ toListArtifacts(): this; /** * Grants permission to list artifacts for a logged model in MLflow * * Access Level: List */ toListLoggedModelArtifacts(): this; /** * Grants permission to log a batch of metrics, parameters, and tags for a run * * Access Level: Write */ toLogBatch(): this; /** * Grants permission to log inputs for a run * * Access Level: Write */ toLogInputs(): this; /** * Grants permission to log params for a logged model in MLflow * * Access Level: Write */ toLogLoggedModelParams(): this; /** * Grants permission to log a metric for a run * * Access Level: Write */ toLogMetric(): this; /** * Grants permission to log the model associated with a run * * Access Level: Write */ toLogModel(): this; /** * Grants permission to log outputs, such as models, for a run in MLflow * * Access Level: Write */ toLogOutputs(): this; /** * Grants permission to log a parameter tracked during a run * * Access Level: Write */ toLogParam(): this; /** * Grants permission to rename a registered model * * Access Level: Write */ toRenameRegisteredModel(): this; /** * Grants permission to restore an experiment marked for deletion * * Access Level: Write */ toRestoreExperiment(): this; /** * Grants permission to restore a deleted run * * Access Level: Write */ toRestoreRun(): this; /** * Grants permission to search for MLflow experiments * * Access Level: Read */ toSearchExperiments(): this; /** * Grants permission to search for logged models in MLflow * * Access Level: Read */ toSearchLoggedModels(): this; /** * Grants permission to search for a model version * * Access Level: Read */ toSearchModelVersions(): this; /** * Grants permission to search for registered models in MLflow * * Access Level: Read */ toSearchRegisteredModels(): this; /** * Grants permission to search for runs that satisfy expressions * * Access Level: Read */ toSearchRuns(): this; /** * Grants permission to search for traces in MLflow * * Access Level: Read */ toSearchTraces(): this; /** * Grants permission to set a tag on an experiment * * Access Level: Write */ toSetExperimentTag(): this; /** * Grants permission to set tags for a logged model in MLflow * * Access Level: Write */ toSetLoggedModelTags(): this; /** * Grants permission to set a tag for the model version * * Access Level: Write */ toSetModelVersionTag(): this; /** * Grants permission to set a registered model alias * * Access Level: Write */ toSetRegisteredModelAlias(): this; /** * Grants permission to set a tag for a registered model * * Access Level: Write */ toSetRegisteredModelTag(): this; /** * Grants permission to set a tag on a run * * Access Level: Write */ toSetTag(): this; /** * Grants permission to set a trace tag in MLflow * * Access Level: Write */ toSetTraceTag(): this; /** * Grants permission to start a trace in MLflow * * Access Level: Write */ toStartTrace(): this; /** * Grants permission to transition a model version to a particular stage * * Access Level: Write */ toTransitionModelVersionStage(): this; /** * Grants permission to update the metadata for an MLflow experiment * * Access Level: Write */ toUpdateExperiment(): this; /** * Grants permission to update the model version * * Access Level: Write */ toUpdateModelVersion(): this; /** * Grants permission to update a registered model * * Access Level: Write */ toUpdateRegisteredModel(): this; /** * Grants permission to update run metadata * * Access Level: Write */ toUpdateRun(): this; protected accessLevelList: AccessLevelList; /** * Adds a resource of type mlflow-tracking-server to the statement * * https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MlflowTrackingServer.html * * @param mlflowTrackingServerName - Identifier for the mlflowTrackingServerName. * @param account - Account of the resource; defaults to `*`, unless using the CDK, where the default is the current Stack's account. * @param region - Region of the resource; defaults to `*`, unless using the CDK, where the default is the current Stack's region. * @param partition - Partition of the AWS account [aws, aws-cn, aws-us-gov]; defaults to `aws`, unless using the CDK, where the default is the current Stack's partition. */ onMlflowTrackingServer(mlflowTrackingServerName: string, account?: string, region?: string, partition?: string): this; /** * Filters access by a tag key and value pair * * https://docs.aws.amazon.com/IAM/latest/UserGuide/list_amazonsagemaker.html#amazonsagemaker-policy-keys * * Applies to actions: * - .toCreateExperiment() * - .toCreateModelVersion() * - .toCreateRegisteredModel() * - .toCreateRun() * - .toDeleteExperiment() * - .toDeleteLoggedModel() * - .toDeleteLoggedModelTag() * - .toDeleteModelVersion() * - .toDeleteModelVersionTag() * - .toDeleteRegisteredModel() * - .toDeleteRegisteredModelAlias() * - .toDeleteRegisteredModelTag() * - .toDeleteRun() * - .toDeleteTag() * - .toDeleteTraceTag() * - .toDeleteTraces() * - .toEndTrace() * - .toFinalizeLoggedModel() * - .toGetDownloadURIForModelVersionArtifacts() * - .toGetExperiment() * - .toGetExperimentByName() * - .toGetLatestModelVersions() * - .toGetLoggedModel() * - .toGetMetricHistory() * - .toGetModelVersion() * - .toGetModelVersionByAlias() * - .toGetRegisteredModel() * - .toGetRun() * - .toGetTraceInfo() * - .toListArtifacts() * - .toListLoggedModelArtifacts() * - .toLogBatch() * - .toLogInputs() * - .toLogLoggedModelParams() * - .toLogMetric() * - .toLogModel() * - .toLogOutputs() * - .toLogParam() * - .toRenameRegisteredModel() * - .toRestoreExperiment() * - .toRestoreRun() * - .toSearchExperiments() * - .toSearchLoggedModels() * - .toSearchModelVersions() * - .toSearchRegisteredModels() * - .toSearchRuns() * - .toSearchTraces() * - .toSetExperimentTag() * - .toSetLoggedModelTags() * - .toSetModelVersionTag() * - .toSetRegisteredModelAlias() * - .toSetRegisteredModelTag() * - .toSetTag() * - .toSetTraceTag() * - .toStartTrace() * - .toTransitionModelVersionStage() * - .toUpdateExperiment() * - .toUpdateModelVersion() * - .toUpdateRegisteredModel() * - .toUpdateRun() * * @param tagKey The tag key to check * @param value The value(s) to check * @param operator Works with [string operators](https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_elements_condition_operators.html#Conditions_String). **Default:** `StringLike` */ ifAwsResourceTag(tagKey: string, value: string | string[], operator?: Operator | string): this; /** * Statement provider for service [sagemaker-mlflow](https://docs.aws.amazon.com/service-authorization/latest/reference/list_amazonsagemakerwithmlflow.html). * */ constructor(props?: iam.PolicyStatementProps); }