From 8d0fe814d5411925dc4b9f7b46d40ba70cc1003c Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 12 Mar 2024 07:08:22 +0000 Subject: [PATCH] feat(aiplatform): update the api #### aiplatform:v1 The following keys were added: - resources.projects.resources.locations.resources.pipelineJobs.methods.batchCancel (Total Keys: 12) - resources.projects.resources.locations.resources.pipelineJobs.methods.batchDelete (Total Keys: 12) - schemas.GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest (Total Keys: 4) - schemas.GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest (Total Keys: 4) - schemas.GoogleCloudAiplatformV1DatasetVersion.properties.metadata.readOnly (Total Keys: 1) - schemas.GoogleCloudAiplatformV1GenieSource (Total Keys: 3) - schemas.GoogleCloudAiplatformV1Model.properties.baseModelSource.$ref (Total Keys: 1) - schemas.GoogleCloudAiplatformV1ModelBaseModelSource (Total Keys: 4) - schemas.GoogleCloudAiplatformV1ModelGardenSource (Total Keys: 3) #### aiplatform:v1beta1 The following keys were added: - resources.projects.resources.locations.resources.featureOnlineStores.methods.getIamPolicy (Total Keys: 14) - resources.projects.resources.locations.resources.featureOnlineStores.methods.setIamPolicy (Total Keys: 12) - resources.projects.resources.locations.resources.featureOnlineStores.methods.testIamPermissions (Total Keys: 14) - resources.projects.resources.locations.resources.featureOnlineStores.resources.featureViews.methods.getIamPolicy (Total Keys: 14) - resources.projects.resources.locations.resources.featureOnlineStores.resources.featureViews.methods.setIamPolicy (Total Keys: 12) - resources.projects.resources.locations.resources.featureOnlineStores.resources.featureViews.methods.testIamPermissions (Total Keys: 14) - resources.projects.resources.locations.resources.ragCorpora.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.ragCorpora.resources.operations.methods.wait (Total Keys: 14) - resources.projects.resources.locations.resources.ragCorpora.resources.ragFiles.resources.operations.methods.cancel (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.ragFiles.resources.operations.methods.delete (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.ragFiles.resources.operations.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.ragCorpora.resources.ragFiles.resources.operations.methods.list (Total Keys: 18) - resources.projects.resources.locations.resources.ragCorpora.resources.ragFiles.resources.operations.methods.wait (Total Keys: 14) - schemas.CloudAiNlLlmProtoServicePart.properties.documentMetadata.$ref (Total Keys: 1) - schemas.CloudAiNlLlmProtoServicePartDocumentMetadata (Total Keys: 3) - schemas.CloudAiNlLlmProtoServiceRaiSignal.properties.influentialTerms (Total Keys: 2) - schemas.CloudAiNlLlmProtoServiceRaiSignalInfluentialTerm (Total Keys: 8) - schemas.GoogleCloudAiplatformV1beta1DatasetVersion.properties.metadata.readOnly (Total Keys: 1) --- ...ts.locations.datasets.datasetVersions.html | 6 +- ...platform_v1.projects.locations.models.html | 56 ++ ...rm_v1.projects.locations.pipelineJobs.html | 94 +++ ....projects.locations.trainingPipelines.html | 32 + ...ts.locations.datasets.datasetVersions.html | 6 +- ..._v1beta1.projects.locations.endpoints.html | 2 +- ...ions.featureOnlineStores.featureViews.html | 132 +++- ...rojects.locations.featureOnlineStores.html | 124 ++++ ...aiplatform_v1beta1.projects.locations.html | 5 + ...ta1.projects.locations.indexEndpoints.html | 2 +- ...orm_v1beta1.projects.locations.models.html | 2 +- ...v1beta1.projects.locations.ragCorpora.html | 96 +++ ...jects.locations.ragCorpora.operations.html | 268 ++++++++ ...rojects.locations.ragCorpora.ragFiles.html | 91 +++ ...ations.ragCorpora.ragFiles.operations.html | 268 ++++++++ .../documents/aiplatform.v1.json | 148 ++++- .../documents/aiplatform.v1beta1.json | 611 +++++++++++++++++- 17 files changed, 1906 insertions(+), 37 deletions(-) create mode 100644 docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.html create mode 100644 docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.operations.html create mode 100644 docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.html create mode 100644 docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.operations.html diff --git a/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html b/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html index c5c440bf60..a622df9971 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html +++ b/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html @@ -115,7 +115,7 @@

Method Details

"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created. "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters. "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens. - "metadata": "", # Required. Additional information about the DatasetVersion. + "metadata": "", # Required. Output only. Additional information about the DatasetVersion. "name": "A String", # Output only. The resource name of the DatasetVersion. "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated. } @@ -204,7 +204,7 @@

Method Details

"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created. "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters. "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens. - "metadata": "", # Required. Additional information about the DatasetVersion. + "metadata": "", # Required. Output only. Additional information about the DatasetVersion. "name": "A String", # Output only. The resource name of the DatasetVersion. "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated. } @@ -236,7 +236,7 @@

Method Details

"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created. "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters. "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens. - "metadata": "", # Required. Additional information about the DatasetVersion. + "metadata": "", # Required. Output only. Additional information about the DatasetVersion. "name": "A String", # Output only. The resource name of the DatasetVersion. "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated. }, diff --git a/docs/dyn/aiplatform_v1.projects.locations.models.html b/docs/dyn/aiplatform_v1.projects.locations.models.html index 991191da88..fe519a8f93 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.models.html +++ b/docs/dyn/aiplatform_v1.projects.locations.models.html @@ -324,6 +324,14 @@

Method Details

{ # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -607,6 +615,14 @@

Method Details

"models": [ # List of Models in the requested page. { # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -858,6 +874,14 @@

Method Details

"models": [ # List of Model versions in the requested page. In the returned Model name field, version ID instead of regvision tag will be included. { # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -1139,6 +1163,14 @@

Method Details

{ # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -1375,6 +1407,14 @@

Method Details

{ # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -1610,6 +1650,14 @@

Method Details

{ # A trained machine learning Model. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", @@ -1984,6 +2032,14 @@

Method Details

{ # Request message for ModelService.UploadModel. "model": { # A trained machine learning Model. # Required. The Model to create. "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models. + "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. + "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models. + "baseModelUri": "A String", # Required. The public base model URI. + }, + "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models. + "publicModelName": "A String", # Required. The model garden source model resource name. + }, + }, "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models. "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). "A String", diff --git a/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html b/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html index 8dee5fdfd4..2444d87d06 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html +++ b/docs/dyn/aiplatform_v1.projects.locations.pipelineJobs.html @@ -79,6 +79,12 @@

Instance Methods

Returns the operations Resource.

+

+ batchCancel(parent, body=None, x__xgafv=None)

+

Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.

+

+ batchDelete(parent, body=None, x__xgafv=None)

+

Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.

cancel(name, body=None, x__xgafv=None)

Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`, and PipelineJob.state is set to `CANCELLED`.

@@ -101,6 +107,94 @@

Instance Methods

list_next()

Retrieves the next page of results.

Method Details

+
+ batchCancel(parent, body=None, x__xgafv=None) + 
Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.
+
+Args:
+  parent: string, Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for PipelineService.BatchCancelPipelineJobs.
+  "names": [ # Required. The names of the PipelineJobs to cancel. A maximum of 32 PipelineJobs can be cancelled in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
+    "A String",
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ batchDelete(parent, body=None, x__xgafv=None) + 
Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.
+
+Args:
+  parent: string, Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for PipelineService.BatchDeletePipelineJobs.
+  "names": [ # Required. The names of the PipelineJobs to delete. A maximum of 32 PipelineJobs can be deleted in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`
+    "A String",
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+
cancel(name, body=None, x__xgafv=None) 
Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`, and PipelineJob.state is set to `CANCELLED`.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html b/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
index 778f262fa2..37145703de 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.trainingPipelines.html
@@ -199,6 +199,14 @@ 
Method Details

   "modelId": "A String", # Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   "modelToUpload": { # A trained machine learning Model. # Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's training_task_definition should make clear whether this Model description should be populated, and if there are any special requirements regarding how it should be filled. If nothing is mentioned in the training_task_definition, then it should be assumed that this field should not be filled and the training task either uploads the Model without a need of this information, or that training task does not support uploading a Model as part of the pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and the trained Model had been uploaded into Vertex AI, then the model_to_upload's resource name is populated. The Model is always uploaded into the Project and Location in which this pipeline is.
     "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.
+    "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.
+      "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models.
+        "baseModelUri": "A String", # Required. The public base model URI.
+      },
+      "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models.
+        "publicModelName": "A String", # Required. The model garden source model resource name.
+      },
+    },
     "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models.
       "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         "A String",
@@ -500,6 +508,14 @@ 
Method Details

   "modelId": "A String", # Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   "modelToUpload": { # A trained machine learning Model. # Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's training_task_definition should make clear whether this Model description should be populated, and if there are any special requirements regarding how it should be filled. If nothing is mentioned in the training_task_definition, then it should be assumed that this field should not be filled and the training task either uploads the Model without a need of this information, or that training task does not support uploading a Model as part of the pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and the trained Model had been uploaded into Vertex AI, then the model_to_upload's resource name is populated. The Model is always uploaded into the Project and Location in which this pipeline is.
     "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.
+    "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.
+      "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models.
+        "baseModelUri": "A String", # Required. The public base model URI.
+      },
+      "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models.
+        "publicModelName": "A String", # Required. The model garden source model resource name.
+      },
+    },
     "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models.
       "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         "A String",
@@ -843,6 +859,14 @@ 
Method Details

   "modelId": "A String", # Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
   "modelToUpload": { # A trained machine learning Model. # Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's training_task_definition should make clear whether this Model description should be populated, and if there are any special requirements regarding how it should be filled. If nothing is mentioned in the training_task_definition, then it should be assumed that this field should not be filled and the training task either uploads the Model without a need of this information, or that training task does not support uploading a Model as part of the pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and the trained Model had been uploaded into Vertex AI, then the model_to_upload's resource name is populated. The Model is always uploaded into the Project and Location in which this pipeline is.
     "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.
+    "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.
+      "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models.
+        "baseModelUri": "A String", # Required. The public base model URI.
+      },
+      "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models.
+        "publicModelName": "A String", # Required. The model garden source model resource name.
+      },
+    },
     "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models.
       "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
         "A String",
@@ -1158,6 +1182,14 @@ 
Method Details

       "modelId": "A String", # Optional. The ID to use for the uploaded Model, which will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are `[a-z0-9_-]`. The first character cannot be a number or hyphen.
       "modelToUpload": { # A trained machine learning Model. # Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's training_task_definition should make clear whether this Model description should be populated, and if there are any special requirements regarding how it should be filled. If nothing is mentioned in the training_task_definition, then it should be assumed that this field should not be filled and the training task either uploads the Model without a need of this information, or that training task does not support uploading a Model as part of the pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and the trained Model had been uploaded into Vertex AI, then the model_to_upload's resource name is populated. The Model is always uploaded into the Project and Location in which this pipeline is.
         "artifactUri": "A String", # Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.
+        "baseModelSource": { # User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models. # Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.
+          "genieSource": { # Contains information about the source of the models generated from Generative AI Studio. # Information about the base model of Genie models.
+            "baseModelUri": "A String", # Required. The public base model URI.
+          },
+          "modelGardenSource": { # Contains information about the source of the models generated from Model Garden. # Source information of Model Garden models.
+            "publicModelName": "A String", # Required. The model garden source model resource name.
+          },
+        },
         "containerSpec": { # Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core). # Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models.
           "args": [ # Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's [`CMD`](https://docs.docker.com/engine/reference/builder/#cmd). Specify this field as an array of executable and arguments, similar to a Docker `CMD`'s "default parameters" form. If you don't specify this field but do specify the command field, then the command from the `command` field runs without any additional arguments. See the [Kubernetes documentation about how the `command` and `args` fields interact with a container's `ENTRYPOINT` and `CMD`](https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes). If you don't specify this field and don't specify the `command` field, then the container's [`ENTRYPOINT`](https://docs.docker.com/engine/reference/builder/#cmd) and `CMD` determine what runs based on their default behavior. See the Docker documentation about [how `CMD` and `ENTRYPOINT` interact](https://docs.docker.com/engine/reference/builder/#understand-how-cmd-and-entrypoint-interact). In this field, you can reference [environment variables set by Vertex AI](https://cloud.google.com/vertex-ai/docs/predictions/custom-container-requirements#aip-variables) and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: $( VARIABLE_NAME) Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with `$$`; for example: $$(VARIABLE_NAME) This field corresponds to the `args` field of the Kubernetes Containers [v1 core API](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).
             "A String",
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.datasetVersions.html b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.datasetVersions.html
index 8aa34cf165..14cef7f669 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.datasetVersions.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.datasetVersions.html
@@ -115,7 +115,7 @@ 
Method Details

   "createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
   "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
   "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
-  "metadata": "", # Required. Additional information about the DatasetVersion.
+  "metadata": "", # Required. Output only. Additional information about the DatasetVersion.
   "name": "A String", # Output only. The resource name of the DatasetVersion.
   "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
 }
@@ -204,7 +204,7 @@ 
Method Details

   "createTime": "A String", # Output only. Timestamp when this DatasetVersion was created.
   "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
   "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
-  "metadata": "", # Required. Additional information about the DatasetVersion.
+  "metadata": "", # Required. Output only. Additional information about the DatasetVersion.
   "name": "A String", # Output only. The resource name of the DatasetVersion.
   "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated.
 }
@@ -236,7 +236,7 @@

Method Details

"createTime": "A String", # Output only. Timestamp when this DatasetVersion was created. "displayName": "A String", # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters. "etag": "A String", # Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens. - "metadata": "", # Required. Additional information about the DatasetVersion. + "metadata": "", # Required. Output only. Additional information about the DatasetVersion. "name": "A String", # Output only. The resource name of the DatasetVersion. "updateTime": "A String", # Output only. Timestamp when this DatasetVersion was last updated. }, diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html index d0de7c5f8c..e54e2d4f65 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html @@ -1655,7 +1655,7 @@

Method Details

Args: parent: string, Required. The resource name of the Location from which to list the Endpoints. Format: `projects/{project}/locations/{location}` (required) - filter: string, Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports = and, != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels."a key"`. Some examples: * `endpoint=1` * `displayName="myDisplayName"` * `labels.myKey="myValue"` + filter: string, Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports = and, != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels."a key"`. * `base_model_name` only supports = Some examples: * `endpoint=1` * `displayName="myDisplayName"` * `labels.myKey="myValue"` * `baseModelName="text-bison"` pageSize: integer, Optional. The standard list page size. pageToken: string, Optional. The standard list page token. Typically obtained via ListEndpointsResponse.next_page_token of the previous EndpointService.ListEndpoints call. readMask: string, Optional. Mask specifying which fields to read. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html index 376d16ef6b..b56a9113b1 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html @@ -99,6 +99,9 @@

Instance Methods

get(name, x__xgafv=None)

Gets details of a single FeatureView.

+

+ getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

+

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

Lists FeatureViews in a given FeatureOnlineStore.

@@ -111,9 +114,15 @@

Instance Methods

searchNearestEntities(featureView, body=None, x__xgafv=None)

Search the nearest entities under a FeatureView. Search only works for indexable feature view; if a feature view isn't indexable, returns Invalid argument response.

+

+ setIamPolicy(resource, body=None, x__xgafv=None)

+

Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.

sync(featureView, body=None, x__xgafv=None)

Triggers on-demand sync for the FeatureView.

+

+ testIamPermissions(resource, permissions=None, x__xgafv=None)

+

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Method Details

close() @@ -154,7 +163,7 @@

Method Details

}, "name": "A String", # Identifier. Name of the FeatureView. Format: `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}` "serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store. - "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project (https://cloud.google.com/vertex-ai/docs/featurestore/latest/resource-policy) a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. + "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, @@ -355,7 +364,7 @@

Method Details

}, "name": "A String", # Identifier. Name of the FeatureView. Format: `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}` "serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store. - "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project (https://cloud.google.com/vertex-ai/docs/featurestore/latest/resource-policy) a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. + "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, @@ -377,6 +386,41 @@

Method Details

}
+
+ getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None) + 
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  options_requestedPolicyVersion: integer, Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}
+
+
list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None) 
Lists FeatureViews in a given FeatureOnlineStore.
@@ -422,7 +466,7 @@ 
Method Details

       },
       "name": "A String", # Identifier. Name of the FeatureView. Format: `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
       "serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
-      "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project (https://cloud.google.com/vertex-ai/docs/featurestore/latest/resource-policy) a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
+      "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
       "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
         "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
       },
@@ -495,7 +539,7 @@ 
Method Details

   },
   "name": "A String", # Identifier. Name of the FeatureView. Format: `projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}`
   "serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
-  "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project (https://cloud.google.com/vertex-ai/docs/featurestore/latest/resource-policy) a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
+  "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
   "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
     "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *".
   },
@@ -646,6 +690,64 @@ 
Method Details

 }
+
+ setIamPolicy(resource, body=None, x__xgafv=None) + 
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for `SetIamPolicy` method.
+  "policy": { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/). # REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
+    "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+      { # Associates `members`, or principals, with a `role`.
+        "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+          "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+          "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+          "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+        },
+        "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+          "A String",
+        ],
+        "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+      },
+    ],
+    "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+    "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}
+
+
sync(featureView, body=None, x__xgafv=None) 
Triggers on-demand sync for the FeatureView.
@@ -671,4 +773,26 @@ 
Method Details

 }
+
+ testIamPermissions(resource, permissions=None, x__xgafv=None) + 
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  permissions: string, The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions). (repeated)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for `TestIamPermissions` method.
+  "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
+    "A String",
+  ],
+}
+
+ \ No newline at end of file diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.html b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.html index 4fa2f7776e..b8afa15a74 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.html @@ -96,6 +96,9 @@

Instance Methods

get(name, x__xgafv=None)

Gets details of a single FeatureOnlineStore.

+

+ getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

+

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

Lists FeatureOnlineStores in a given project and location.

@@ -105,6 +108,12 @@

Instance Methods

patch(name, body=None, updateMask=None, x__xgafv=None)

Updates the parameters of a single FeatureOnlineStore.

+

+ setIamPolicy(resource, body=None, x__xgafv=None)

+

Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.

+

+ testIamPermissions(resource, permissions=None, x__xgafv=None)

+

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Method Details

close() @@ -267,6 +276,41 @@

Method Details

}
+
+ getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None) + 
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  options_requestedPolicyVersion: integer, Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}
+
+
list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None) 
Lists FeatureOnlineStores in a given project and location.
@@ -410,4 +454,84 @@ 
Method Details

 }
+
+ setIamPolicy(resource, body=None, x__xgafv=None) + 
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for `SetIamPolicy` method.
+  "policy": { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/). # REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
+    "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+      { # Associates `members`, or principals, with a `role`.
+        "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+          "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+          "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+          "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+        },
+        "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+          "A String",
+        ],
+        "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+      },
+    ],
+    "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+    "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}
+
+ +
+ testIamPermissions(resource, permissions=None, x__xgafv=None) + 
Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  permissions: string, The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions). (repeated)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for `TestIamPermissions` method.
+  "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
+    "A String",
+  ],
+}
+
+ \ No newline at end of file diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.html b/docs/dyn/aiplatform_v1beta1.projects.locations.html index 3f64ad9bf0..ca70554bbb 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.html @@ -224,6 +224,11 @@

Instance Methods

Returns the publishers Resource.

+

+ ragCorpora() +

+

Returns the ragCorpora Resource.

+

reasoningEngines()

diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.indexEndpoints.html b/docs/dyn/aiplatform_v1beta1.projects.locations.indexEndpoints.html index 0dbb1c6d11..b6a4a3a883 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.indexEndpoints.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.indexEndpoints.html @@ -377,7 +377,7 @@

Method Details

body: object, The request body. The object takes the form of: -{ # The request message for MatchService.FindNeighbors. +{ # LINT.IfChange The request message for MatchService.FindNeighbors. "deployedIndexId": "A String", # The ID of the DeployedIndex that will serve the request. This request is sent to a specific IndexEndpoint, as per the IndexEndpoint.network. That IndexEndpoint also has IndexEndpoint.deployed_indexes, and each such index has a DeployedIndex.id field. The value of the field below must equal one of the DeployedIndex.id fields of the IndexEndpoint that is being called for this request. "queries": [ # The list of queries. { # A query to find a number of the nearest neighbors (most similar vectors) of a vector. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.models.html b/docs/dyn/aiplatform_v1beta1.projects.locations.models.html index 45162d4f8b..beaf8d6c86 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.models.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.models.html @@ -594,7 +594,7 @@

Method Details

Args: parent: string, Required. The resource name of the Location to list the Models from. Format: `projects/{project}/locations/{location}` (required) - filter: string, An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `model` supports = and !=. `model` represents the Model ID, i.e. the last segment of the Model's resource name. * `display_name` supports = and != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels."a key"`. Some examples: * `model=1234` * `displayName="myDisplayName"` * `labels.myKey="myValue"` + filter: string, An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `model` supports = and !=. `model` represents the Model ID, i.e. the last segment of the Model's resource name. * `display_name` supports = and != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels."a key"`. * `base_model_name` only supports = Some examples: * `model=1234` * `displayName="myDisplayName"` * `labels.myKey="myValue"` * `baseModelName="text-bison"` pageSize: integer, The standard list page size. pageToken: string, The standard list page token. Typically obtained via ListModelsResponse.next_page_token of the previous ModelService.ListModels call. readMask: string, Mask specifying which fields to read. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.html b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.html new file mode 100644 index 0000000000..98616af8ad --- /dev/null +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.html @@ -0,0 +1,96 @@ + + + +

Vertex AI API . projects . locations . ragCorpora

+

Instance Methods

+

+ operations() +

+

Returns the operations Resource.

+ +

+ ragFiles() +

+

Returns the ragFiles Resource.

+ +

+ close()

+

Close httplib2 connections.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ + \ No newline at end of file diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.operations.html b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.operations.html new file mode 100644 index 0000000000..b7d266d2ba --- /dev/null +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.operations.html @@ -0,0 +1,268 @@ + + + +

Vertex AI API . projects . locations . ragCorpora . operations

+

Instance Methods

+

+ cancel(name, x__xgafv=None)

+

Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.

+

+ close()

+

Close httplib2 connections.

+

+ delete(name, x__xgafv=None)

+

Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.

+

+ get(name, x__xgafv=None)

+

Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

+

+ list(name, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

+

Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.

+

+ list_next()

+

Retrieves the next page of results.

+

+ wait(name, timeout=None, x__xgafv=None)

+

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.

+

Method Details

+
+ cancel(name, x__xgafv=None) + 
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.
+
+Args:
+  name: string, The name of the operation resource to be cancelled. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}
+
+ +
+ close() + 
Close httplib2 connections.
+
+ +
+ delete(name, x__xgafv=None) + 
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation resource to be deleted. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}
+
+ +
+ get(name, x__xgafv=None) + 
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
+
+Args:
+  name: string, The name of the operation resource. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ list(name, filter=None, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation's parent resource. (required)
+  filter: string, The standard list filter.
+  pageSize: integer, The standard list page size.
+  pageToken: string, The standard list page token.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Operations.ListOperations.
+  "nextPageToken": "A String", # The standard List next-page token.
+  "operations": [ # A list of operations that matches the specified filter in the request.
+    { # This resource represents a long-running operation that is the result of a network API call.
+      "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+          {
+            "a_key": "", # Properties of the object. Contains field @type with type URL.
+          },
+        ],
+        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+      },
+      "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+      "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    },
+  ],
+}
+
+ +
+ list_next() + 
Retrieves the next page of results.
+
+        Args:
+          previous_request: The request for the previous page. (required)
+          previous_response: The response from the request for the previous page. (required)
+
+        Returns:
+          A request object that you can call 'execute()' on to request the next
+          page. Returns None if there are no more items in the collection.
+
+
+ +
+ wait(name, timeout=None, x__xgafv=None) + 
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.
+
+Args:
+  name: string, The name of the operation resource to wait on. (required)
+  timeout: string, The maximum duration to wait before timing out. If left blank, the wait will be at most the time permitted by the underlying HTTP/RPC protocol. If RPC context deadline is also specified, the shorter one will be used.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ + \ No newline at end of file diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.html b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.html new file mode 100644 index 0000000000..91817d8cb9 --- /dev/null +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.html @@ -0,0 +1,91 @@ + + + +

Vertex AI API . projects . locations . ragCorpora . ragFiles

+

Instance Methods

+

+ operations() +

+

Returns the operations Resource.

+ +

+ close()

+

Close httplib2 connections.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ + \ No newline at end of file diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.operations.html b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.operations.html new file mode 100644 index 0000000000..85864d3a0d --- /dev/null +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.ragCorpora.ragFiles.operations.html @@ -0,0 +1,268 @@ + + + +

Vertex AI API . projects . locations . ragCorpora . ragFiles . operations

+

Instance Methods

+

+ cancel(name, x__xgafv=None)

+

Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.

+

+ close()

+

Close httplib2 connections.

+

+ delete(name, x__xgafv=None)

+

Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.

+

+ get(name, x__xgafv=None)

+

Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

+

+ list(name, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

+

Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.

+

+ list_next()

+

Retrieves the next page of results.

+

+ wait(name, timeout=None, x__xgafv=None)

+

Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.

+

Method Details

+
+ cancel(name, x__xgafv=None) + 
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.
+
+Args:
+  name: string, The name of the operation resource to be cancelled. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}
+
+ +
+ close() + 
Close httplib2 connections.
+
+ +
+ delete(name, x__xgafv=None) + 
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation resource to be deleted. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}
+
+ +
+ get(name, x__xgafv=None) + 
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
+
+Args:
+  name: string, The name of the operation resource. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ list(name, filter=None, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation's parent resource. (required)
+  filter: string, The standard list filter.
+  pageSize: integer, The standard list page size.
+  pageToken: string, The standard list page token.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Operations.ListOperations.
+  "nextPageToken": "A String", # The standard List next-page token.
+  "operations": [ # A list of operations that matches the specified filter in the request.
+    { # This resource represents a long-running operation that is the result of a network API call.
+      "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+          {
+            "a_key": "", # Properties of the object. Contains field @type with type URL.
+          },
+        ],
+        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+      },
+      "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+      "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    },
+  ],
+}
+
+ +
+ list_next() + 
Retrieves the next page of results.
+
+        Args:
+          previous_request: The request for the previous page. (required)
+          previous_response: The response from the request for the previous page. (required)
+
+        Returns:
+          A request object that you can call 'execute()' on to request the next
+          page. Returns None if there are no more items in the collection.
+
+
+ +
+ wait(name, timeout=None, x__xgafv=None) + 
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.
+
+Args:
+  name: string, The name of the operation resource to wait on. (required)
+  timeout: string, The maximum duration to wait before timing out. If left blank, the wait will be at most the time permitted by the underlying HTTP/RPC protocol. If RPC context deadline is also specified, the shorter one will be used.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ + \ No newline at end of file diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1.json index d773cef673..296dccb1d5 100644 --- a/googleapiclient/discovery_cache/documents/aiplatform.v1.json +++ b/googleapiclient/discovery_cache/documents/aiplatform.v1.json @@ -11620,6 +11620,62 @@ }, "pipelineJobs": { "methods": { +"batchCancel": { +"description": "Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.", +"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/pipelineJobs:batchCancel", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.pipelineJobs.batchCancel", +"parameterOrder": [ +"parent" +], +"parameters": { +"parent": { +"description": "Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}`", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1/{+parent}/pipelineJobs:batchCancel", +"request": { +"$ref": "GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest" +}, +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"batchDelete": { +"description": "Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.", +"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/pipelineJobs:batchDelete", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.pipelineJobs.batchDelete", +"parameterOrder": [ +"parent" +], +"parameters": { +"parent": { +"description": "Required. The name of the PipelineJobs' parent resource. Format: `projects/{project}/locations/{location}`", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1/{+parent}/pipelineJobs:batchDelete", +"request": { +"$ref": "GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest" +}, +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "cancel": { "description": "Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob. The server makes a best effort to cancel the pipeline, but success is not guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to check whether the cancellation succeeded or whether the pipeline completed despite cancellation. On successful cancellation, the PipelineJob is not deleted; instead it becomes a pipeline with a PipelineJob.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`, and PipelineJob.state is set to `CANCELLED`.", "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/pipelineJobs/{pipelineJobsId}:cancel", @@ -15562,7 +15618,7 @@ } } }, -"revision": "20240224", +"revision": "20240229", "rootUrl": "https://aiplatform.googleapis.com/", "schemas": { "CloudAiLargeModelsVisionEmbedVideoResponse": { @@ -15957,7 +16013,10 @@ "FINISH_REASON_MAX_TOKENS", "FINISH_REASON_SAFETY", "FINISH_REASON_RECITATION", -"FINISH_REASON_OTHER" +"FINISH_REASON_OTHER", +"FINISH_REASON_BLOCKLIST", +"FINISH_REASON_PROHIBITED_CONTENT", +"FINISH_REASON_SPII" ], "enumDescriptions": [ "The finish reason is unspecified.", @@ -15965,7 +16024,10 @@ "The maximum number of tokens as specified in the request was reached.", "The token generation was stopped as the response was flagged for safety reasons. NOTE: When streaming the Candidate.content will be empty if content filters blocked the output.", "The token generation was stopped as the response was flagged for unauthorized citations.", -"All other reasons that stopped the token generation." +"All other reasons that stopped the token generation.", +"The token generation was stopped as the response was flagged for the terms which are included from the terminology blocklist.", +"The token generation was stopped as the response was flagged for the prohibited contents.", +"The token generation was stopped as the response was flagged for Sensitive Personally Identifiable Information (SPII) contents." ], "type": "string" }, @@ -16263,12 +16325,16 @@ "enum": [ "BLOCKED_REASON_UNSPECIFIED", "SAFETY", -"OTHER" +"OTHER", +"BLOCKLIST", +"PROHIBITED_CONTENT" ], "enumDescriptions": [ "Unspecified blocked reason.", "Candidates blocked due to safety.", -"Candidates blocked due to other reason." +"Candidates blocked due to other reason.", +"Candidates blocked due to the terms which are included from the terminology blocklist.", +"Candidates blocked due to prohibited content." ], "type": "string" }, @@ -17003,6 +17069,20 @@ }, "type": "object" }, +"GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest": { +"description": "Request message for PipelineService.BatchCancelPipelineJobs.", +"id": "GoogleCloudAiplatformV1BatchCancelPipelineJobsRequest", +"properties": { +"names": { +"description": "Required. The names of the PipelineJobs to cancel. A maximum of 32 PipelineJobs can be cancelled in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`", +"items": { +"type": "string" +}, +"type": "array" +} +}, +"type": "object" +}, "GoogleCloudAiplatformV1BatchCreateFeaturesOperationMetadata": { "description": "Details of operations that perform batch create Features.", "id": "GoogleCloudAiplatformV1BatchCreateFeaturesOperationMetadata", @@ -17119,6 +17199,20 @@ }, "type": "object" }, +"GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest": { +"description": "Request message for PipelineService.BatchDeletePipelineJobs.", +"id": "GoogleCloudAiplatformV1BatchDeletePipelineJobsRequest", +"properties": { +"names": { +"description": "Required. The names of the PipelineJobs to delete. A maximum of 32 PipelineJobs can be deleted in a batch. Format: `projects/{project}/locations/{location}/pipelineJobs/{pipelineJob}`", +"items": { +"type": "string" +}, +"type": "array" +} +}, +"type": "object" +}, "GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsRequest": { "description": "Request message for ModelService.BatchImportEvaluatedAnnotations", "id": "GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsRequest", @@ -18916,7 +19010,8 @@ "type": "string" }, "metadata": { -"description": "Required. Additional information about the DatasetVersion.", +"description": "Required. Output only. Additional information about the DatasetVersion.", +"readOnly": true, "type": "any" }, "name": { @@ -22085,6 +22180,17 @@ }, "type": "object" }, +"GoogleCloudAiplatformV1GenieSource": { +"description": "Contains information about the source of the models generated from Generative AI Studio.", +"id": "GoogleCloudAiplatformV1GenieSource", +"properties": { +"baseModelUri": { +"description": "Required. The public base model URI.", +"type": "string" +} +}, +"type": "object" +}, "GoogleCloudAiplatformV1GroundingAttribution": { "description": "Grounding attribution.", "id": "GoogleCloudAiplatformV1GroundingAttribution", @@ -24236,6 +24342,10 @@ "description": "Immutable. The path to the directory containing the Model artifact and any of its supporting files. Not required for AutoML Models.", "type": "string" }, +"baseModelSource": { +"$ref": "GoogleCloudAiplatformV1ModelBaseModelSource", +"description": "Optional. User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models." +}, "containerSpec": { "$ref": "GoogleCloudAiplatformV1ModelContainerSpec", "description": "Input only. The specification of the container that is to be used when deploying this Model. The specification is ingested upon ModelService.UploadModel, and all binaries it contains are copied and stored internally by Vertex AI. Not required for AutoML Models." @@ -24406,6 +24516,21 @@ }, "type": "object" }, +"GoogleCloudAiplatformV1ModelBaseModelSource": { +"description": "User input field to specify the base model source. Currently it only supports specifing the Model Garden models and Genie models.", +"id": "GoogleCloudAiplatformV1ModelBaseModelSource", +"properties": { +"genieSource": { +"$ref": "GoogleCloudAiplatformV1GenieSource", +"description": "Information about the base model of Genie models." +}, +"modelGardenSource": { +"$ref": "GoogleCloudAiplatformV1ModelGardenSource", +"description": "Source information of Model Garden models." +} +}, +"type": "object" +}, "GoogleCloudAiplatformV1ModelContainerSpec": { "description": "Specification of a container for serving predictions. Some fields in this message correspond to fields in the [Kubernetes Container v1 core specification](https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.23/#container-v1-core).", "id": "GoogleCloudAiplatformV1ModelContainerSpec", @@ -25013,6 +25138,17 @@ }, "type": "object" }, +"GoogleCloudAiplatformV1ModelGardenSource": { +"description": "Contains information about the source of the models generated from Model Garden.", +"id": "GoogleCloudAiplatformV1ModelGardenSource", +"properties": { +"publicModelName": { +"description": "Required. The model garden source model resource name.", +"type": "string" +} +}, +"type": "object" +}, "GoogleCloudAiplatformV1ModelMonitoringAlertConfig": { "description": "The alert config for model monitoring.", "id": "GoogleCloudAiplatformV1ModelMonitoringAlertConfig", diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json index 303e8619bc..c712374406 100644 --- a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json +++ b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json @@ -3403,7 +3403,7 @@ ], "parameters": { "filter": { -"description": "Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports = and, != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels.\"a key\"`. Some examples: * `endpoint=1` * `displayName=\"myDisplayName\"` * `labels.myKey=\"myValue\"`", +"description": "Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports = and, != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels.\"a key\"`. * `base_model_name` only supports = Some examples: * `endpoint=1` * `displayName=\"myDisplayName\"` * `labels.myKey=\"myValue\"` * `baseModelName=\"text-bison\"`", "location": "query", "type": "string" }, @@ -5303,6 +5303,37 @@ "https://www.googleapis.com/auth/cloud-platform" ] }, +"getIamPolicy": { +"description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}:getIamPolicy", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.getIamPolicy", +"parameterOrder": [ +"resource" +], +"parameters": { +"options.requestedPolicyVersion": { +"description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).", +"format": "int32", +"location": "query", +"type": "integer" +}, +"resource": { +"description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:getIamPolicy", +"response": { +"$ref": "GoogleIamV1Policy" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "list": { "description": "Lists FeatureOnlineStores in a given project and location.", "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores", @@ -5382,6 +5413,65 @@ "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] +}, +"setIamPolicy": { +"description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}:setIamPolicy", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.setIamPolicy", +"parameterOrder": [ +"resource" +], +"parameters": { +"resource": { +"description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:setIamPolicy", +"request": { +"$ref": "GoogleIamV1SetIamPolicyRequest" +}, +"response": { +"$ref": "GoogleIamV1Policy" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"testIamPermissions": { +"description": "Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may \"fail open\" without warning.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}:testIamPermissions", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.testIamPermissions", +"parameterOrder": [ +"resource" +], +"parameters": { +"permissions": { +"description": "The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).", +"location": "query", +"repeated": true, +"type": "string" +}, +"resource": { +"description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:testIamPermissions", +"response": { +"$ref": "GoogleIamV1TestIamPermissionsResponse" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] } }, "resources": { @@ -5503,6 +5593,37 @@ "https://www.googleapis.com/auth/cloud-platform" ] }, +"getIamPolicy": { +"description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}/featureViews/{featureViewsId}:getIamPolicy", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.featureViews.getIamPolicy", +"parameterOrder": [ +"resource" +], +"parameters": { +"options.requestedPolicyVersion": { +"description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).", +"format": "int32", +"location": "query", +"type": "integer" +}, +"resource": { +"description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+/featureViews/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:getIamPolicy", +"response": { +"$ref": "GoogleIamV1Policy" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "list": { "description": "Lists FeatureViews in a given FeatureOnlineStore.", "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}/featureViews", @@ -5611,6 +5732,34 @@ "https://www.googleapis.com/auth/cloud-platform" ] }, +"setIamPolicy": { +"description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}/featureViews/{featureViewsId}:setIamPolicy", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.featureViews.setIamPolicy", +"parameterOrder": [ +"resource" +], +"parameters": { +"resource": { +"description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+/featureViews/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:setIamPolicy", +"request": { +"$ref": "GoogleIamV1SetIamPolicyRequest" +}, +"response": { +"$ref": "GoogleIamV1Policy" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "sync": { "description": "Triggers on-demand sync for the FeatureView.", "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}/featureViews/{featureViewsId}:sync", @@ -5638,6 +5787,37 @@ "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] +}, +"testIamPermissions": { +"description": "Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may \"fail open\" without warning.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/featureOnlineStores/{featureOnlineStoresId}/featureViews/{featureViewsId}:testIamPermissions", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.featureOnlineStores.featureViews.testIamPermissions", +"parameterOrder": [ +"resource" +], +"parameters": { +"permissions": { +"description": "The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).", +"location": "query", +"repeated": true, +"type": "string" +}, +"resource": { +"description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/featureOnlineStores/[^/]+/featureViews/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+resource}:testIamPermissions", +"response": { +"$ref": "GoogleIamV1TestIamPermissionsResponse" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] } }, "resources": { @@ -11147,7 +11327,7 @@ ], "parameters": { "filter": { -"description": "An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `model` supports = and !=. `model` represents the Model ID, i.e. the last segment of the Model's resource name. * `display_name` supports = and != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels.\"a key\"`. Some examples: * `model=1234` * `displayName=\"myDisplayName\"` * `labels.myKey=\"myValue\"`", +"description": "An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `model` supports = and !=. `model` represents the Model ID, i.e. the last segment of the Model's resource name. * `display_name` supports = and != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels.\"a key\"`. * `base_model_name` only supports = Some examples: * `model=1234` * `displayName=\"myDisplayName\"` * `labels.myKey=\"myValue\"` * `baseModelName=\"text-bison\"`", "location": "query", "type": "string" }, @@ -13761,6 +13941,316 @@ } } }, +"ragCorpora": { +"resources": { +"operations": { +"methods": { +"cancel": { +"description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/operations/{operationsId}:cancel", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.ragCorpora.operations.cancel", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to be cancelled.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}:cancel", +"response": { +"$ref": "GoogleProtobufEmpty" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"delete": { +"description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/operations/{operationsId}", +"httpMethod": "DELETE", +"id": "aiplatform.projects.locations.ragCorpora.operations.delete", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to be deleted.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}", +"response": { +"$ref": "GoogleProtobufEmpty" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"get": { +"description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/operations/{operationsId}", +"httpMethod": "GET", +"id": "aiplatform.projects.locations.ragCorpora.operations.get", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}", +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"list": { +"description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/operations", +"httpMethod": "GET", +"id": "aiplatform.projects.locations.ragCorpora.operations.list", +"parameterOrder": [ +"name" +], +"parameters": { +"filter": { +"description": "The standard list filter.", +"location": "query", +"type": "string" +}, +"name": { +"description": "The name of the operation's parent resource.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+$", +"required": true, +"type": "string" +}, +"pageSize": { +"description": "The standard list page size.", +"format": "int32", +"location": "query", +"type": "integer" +}, +"pageToken": { +"description": "The standard list page token.", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+name}/operations", +"response": { +"$ref": "GoogleLongrunningListOperationsResponse" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"wait": { +"description": "Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/operations/{operationsId}:wait", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.ragCorpora.operations.wait", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to wait on.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +}, +"timeout": { +"description": "The maximum duration to wait before timing out. If left blank, the wait will be at most the time permitted by the underlying HTTP/RPC protocol. If RPC context deadline is also specified, the shorter one will be used.", +"format": "google-duration", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+name}:wait", +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +} +} +}, +"ragFiles": { +"resources": { +"operations": { +"methods": { +"cancel": { +"description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/ragFiles/{ragFilesId}/operations/{operationsId}:cancel", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.ragCorpora.ragFiles.operations.cancel", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to be cancelled.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/ragFiles/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}:cancel", +"response": { +"$ref": "GoogleProtobufEmpty" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"delete": { +"description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/ragFiles/{ragFilesId}/operations/{operationsId}", +"httpMethod": "DELETE", +"id": "aiplatform.projects.locations.ragCorpora.ragFiles.operations.delete", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to be deleted.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/ragFiles/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}", +"response": { +"$ref": "GoogleProtobufEmpty" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"get": { +"description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/ragFiles/{ragFilesId}/operations/{operationsId}", +"httpMethod": "GET", +"id": "aiplatform.projects.locations.ragCorpora.ragFiles.operations.get", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/ragFiles/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}", +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"list": { +"description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/ragFiles/{ragFilesId}/operations", +"httpMethod": "GET", +"id": "aiplatform.projects.locations.ragCorpora.ragFiles.operations.list", +"parameterOrder": [ +"name" +], +"parameters": { +"filter": { +"description": "The standard list filter.", +"location": "query", +"type": "string" +}, +"name": { +"description": "The name of the operation's parent resource.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/ragFiles/[^/]+$", +"required": true, +"type": "string" +}, +"pageSize": { +"description": "The standard list page size.", +"format": "int32", +"location": "query", +"type": "integer" +}, +"pageToken": { +"description": "The standard list page token.", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+name}/operations", +"response": { +"$ref": "GoogleLongrunningListOperationsResponse" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"wait": { +"description": "Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, the latest state is immediately returned. If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If the server does not support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Note that this method is on a best-effort basis. It may return the latest state before the specified timeout (including immediately), meaning even an immediate response is no guarantee that the operation is done.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/ragCorpora/{ragCorporaId}/ragFiles/{ragFilesId}/operations/{operationsId}:wait", +"httpMethod": "POST", +"id": "aiplatform.projects.locations.ragCorpora.ragFiles.operations.wait", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "The name of the operation resource to wait on.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/ragCorpora/[^/]+/ragFiles/[^/]+/operations/[^/]+$", +"required": true, +"type": "string" +}, +"timeout": { +"description": "The maximum duration to wait before timing out. If left blank, the wait will be at most the time permitted by the underlying HTTP/RPC protocol. If RPC context deadline is also specified, the shorter one will be used.", +"format": "google-duration", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+name}:wait", +"response": { +"$ref": "GoogleLongrunningOperation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +} +} +} +} +} +} +}, "reasoningEngines": { "resources": { "operations": { @@ -17465,7 +17955,7 @@ } } }, -"revision": "20240224", +"revision": "20240301", "rootUrl": "https://aiplatform.googleapis.com/", "schemas": { "CloudAiLargeModelsVisionEmbedVideoResponse": { @@ -17860,7 +18350,10 @@ "FINISH_REASON_MAX_TOKENS", "FINISH_REASON_SAFETY", "FINISH_REASON_RECITATION", -"FINISH_REASON_OTHER" +"FINISH_REASON_OTHER", +"FINISH_REASON_BLOCKLIST", +"FINISH_REASON_PROHIBITED_CONTENT", +"FINISH_REASON_SPII" ], "enumDescriptions": [ "The finish reason is unspecified.", @@ -17868,7 +18361,10 @@ "The maximum number of tokens as specified in the request was reached.", "The token generation was stopped as the response was flagged for safety reasons. NOTE: When streaming the Candidate.content will be empty if content filters blocked the output.", "The token generation was stopped as the response was flagged for unauthorized citations.", -"All other reasons that stopped the token generation." +"All other reasons that stopped the token generation.", +"The token generation was stopped as the response was flagged for the terms which are included from the terminology blocklist.", +"The token generation was stopped as the response was flagged for the prohibited contents.", +"The token generation was stopped as the response was flagged for Sensitive Personally Identifiable Information (SPII) contents." ], "type": "string" }, @@ -18078,6 +18574,10 @@ "description": "A single part of a message.", "id": "CloudAiNlLlmProtoServicePart", "properties": { +"documentMetadata": { +"$ref": "CloudAiNlLlmProtoServicePartDocumentMetadata", +"description": "Document metadata. The metadata should only be used by the Cloud LLM when supporting document mime types. It will only be populated when this image input part is converted from a document input part." +}, "fileData": { "$ref": "CloudAiNlLlmProtoServicePartFileData", "description": "URI-based data." @@ -18125,6 +18625,22 @@ }, "type": "object" }, +"CloudAiNlLlmProtoServicePartDocumentMetadata": { +"description": "Metadata describes the original input document content.", +"id": "CloudAiNlLlmProtoServicePartDocumentMetadata", +"properties": { +"originalDocumentBlob": { +"$ref": "CloudAiNlLlmProtoServicePartBlob", +"description": "The original document blob." +}, +"pageNumber": { +"description": "The (1-indexed) page number of the image in the original document. The first page carries the original document content and mime type.", +"format": "int32", +"type": "integer" +} +}, +"type": "object" +}, "CloudAiNlLlmProtoServicePartFileData": { "description": "Represents file data.", "id": "CloudAiNlLlmProtoServicePartFileData", @@ -18166,12 +18682,16 @@ "enum": [ "BLOCKED_REASON_UNSPECIFIED", "SAFETY", -"OTHER" +"OTHER", +"BLOCKLIST", +"PROHIBITED_CONTENT" ], "enumDescriptions": [ "Unspecified blocked reason.", "Candidates blocked due to safety.", -"Candidates blocked due to other reason." +"Candidates blocked due to other reason.", +"Candidates blocked due to the terms which are included from the terminology blocklist.", +"Candidates blocked due to prohibited content." ], "type": "string" }, @@ -18266,6 +18786,13 @@ "description": "Whether the category is flagged as being present. Currently, this is set to true if score >= 0.5.", "type": "boolean" }, +"influentialTerms": { +"description": "The influential terms that could potentially block the response.", +"items": { +"$ref": "CloudAiNlLlmProtoServiceRaiSignalInfluentialTerm" +}, +"type": "array" +}, "raiCategory": { "description": "The RAI category.", "enum": [ @@ -18354,6 +18881,41 @@ }, "type": "object" }, +"CloudAiNlLlmProtoServiceRaiSignalInfluentialTerm": { +"description": "The influential term that could potentially block the response.", +"id": "CloudAiNlLlmProtoServiceRaiSignalInfluentialTerm", +"properties": { +"beginOffset": { +"description": "The beginning offset of the influential term.", +"format": "int32", +"type": "integer" +}, +"confidence": { +"description": "The confidence score of the influential term.", +"format": "float", +"type": "number" +}, +"source": { +"description": "The source of the influential term, prompt or response.", +"enum": [ +"SOURCE_UNSPECIFIED", +"PROMPT", +"RESPONSE" +], +"enumDescriptions": [ +"Unspecified source.", +"The influential term comes from the prompt.", +"The influential term comes from the response." +], +"type": "string" +}, +"term": { +"description": "The influential term.", +"type": "string" +} +}, +"type": "object" +}, "CloudAiNlLlmProtoServiceSafetyRating": { "description": "Safety rating corresponding to the generated content.", "id": "CloudAiNlLlmProtoServiceSafetyRating", @@ -19708,7 +20270,10 @@ "MAX_TOKENS", "SAFETY", "RECITATION", -"OTHER" +"OTHER", +"BLOCKLIST", +"PROHIBITED_CONTENT", +"SPII" ], "enumDescriptions": [ "The finish reason is unspecified.", @@ -19716,7 +20281,10 @@ "The maximum number of tokens as specified in the request was reached.", "The token generation was stopped as the response was flagged for safety reasons. NOTE: When streaming the Candidate.content will be empty if content filters blocked the output.", "The token generation was stopped as the response was flagged for unauthorized citations.", -"All other reasons that stopped the token generation" +"All other reasons that stopped the token generation", +"The token generation was stopped as the response was flagged for the terms which are included from the terminology blocklist.", +"The token generation was stopped as the response was flagged for the prohibited contents.", +"The token generation was stopped as the response was flagged for Sensitive Personally Identifiable Information (SPII) contents." ], "readOnly": true, "type": "string" @@ -20932,7 +21500,8 @@ "type": "string" }, "metadata": { -"description": "Required. Additional information about the DatasetVersion.", +"description": "Required. Output only. Additional information about the DatasetVersion.", +"readOnly": true, "type": "any" }, "name": { @@ -23326,7 +23895,7 @@ "type": "string" }, "serviceAgentType": { -"description": "Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project (https://cloud.google.com/vertex-ai/docs/featurestore/latest/resource-policy) a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.", +"description": "Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.", "enum": [ "SERVICE_AGENT_TYPE_UNSPECIFIED", "SERVICE_AGENT_TYPE_PROJECT", @@ -23900,7 +24469,7 @@ "type": "object" }, "GoogleCloudAiplatformV1beta1FindNeighborsRequest": { -"description": "The request message for MatchService.FindNeighbors.", +"description": "LINT.IfChange The request message for MatchService.FindNeighbors.", "id": "GoogleCloudAiplatformV1beta1FindNeighborsRequest", "properties": { "deployedIndexId": { @@ -24204,12 +24773,16 @@ "enum": [ "BLOCKED_REASON_UNSPECIFIED", "SAFETY", -"OTHER" +"OTHER", +"BLOCKLIST", +"PROHIBITED_CONTENT" ], "enumDescriptions": [ "Unspecified blocked reason.", "Candidates blocked due to safety.", -"Candidates blocked due to other reason." +"Candidates blocked due to other reason.", +"Candidates blocked due to the terms which are included from the terminology blocklist.", +"Candidates blocked due to prohibited content." ], "readOnly": true, "type": "string" @@ -28822,14 +29395,16 @@ "PROVISIONING", "RUNNING", "STOPPING", -"ERROR" +"ERROR", +"UPDATING" ], "enumDescriptions": [ "Not set.", "The PROVISIONING state indicates the persistent resources is being created.", "The RUNNING state indicates the persistent resource is healthy and fully usable.", "The STOPPING state indicates the persistent resource is being deleted.", -"The ERROR state indicates the persistent resource may be unusable. Details can be found in the `error` field." +"The ERROR state indicates the persistent resource may be unusable. Details can be found in the `error` field.", +"The UPDATING state indicates the persistent resource is being updated." ], "readOnly": true, "type": "string" @@ -29579,7 +30154,6 @@ "description": "Optional. Indicates the launch stage of the model.", "enum": [ "LAUNCH_STAGE_UNSPECIFIED", -"DOGFOOD", "EXPERIMENTAL", "PRIVATE_PREVIEW", "PUBLIC_PREVIEW", @@ -29587,7 +30161,6 @@ ], "enumDescriptions": [ "The model launch stage is unspecified.", -"Used to indicate the PublisherModel is at Google internal testing launch stage.", "Used to indicate the PublisherModel is at Experimental launch stage, available to a small set of customers.", "Used to indicate the PublisherModel is at Private Preview launch stage, only available to a small set of customers, although a larger set of customers than an Experimental launch. Previews are the first launch stage used to get feedback from customers.", "Used to indicate the PublisherModel is at Public Preview launch stage, available to all customers, although not supported for production workloads.", @@ -40727,6 +41300,7 @@ "C", "DART", "GRADLE", +"GROOVY", "JAVADOC", "JSON", "MAKEFILE", @@ -40754,6 +41328,7 @@ "C code.", "Dart code.", "Gradle code.", +"Groovy code.", "API documentation.", "JSON code.", "Makefile code.",