list_next()
Retrieves the next page of results.
- patch(name, appendScopedAccessSettings=None, body=None, updateMask=None, x__xgafv=None)
patch(name, append=None, body=None, updateMask=None, x__xgafv=None)
Updates a GcpUserAccessBinding. Completion of this long-running operation does not necessarily signify that the changed binding is deployed onto all affected users, which may take more time.
patch(name, appendScopedAccessSettings=None, body=None, updateMask=None, x__xgafv=None)
+ patch(name, append=None, body=None, updateMask=None, x__xgafv=None)
Updates a GcpUserAccessBinding. Completion of this long-running operation does not necessarily signify that the changed binding is deployed onto all affected users, which may take more time. Args: @@ -414,7 +456,7 @@Method Details
body: object, The request body. The object takes the form of: -{ # Restricts access to Cloud Console and Google Cloud APIs for a set of users using Context-Aware Access. +{ # Restricts access to Cloud Console and Google Cloud APIs for a set of users using Context-Aware Access. Next ID: 11 "accessLevels": [ # Optional. Access level that a user must have to be granted access. Only one access level is supported, not multiple. This repeated field must have exactly one element. Example: "accessPolicies/9522/accessLevels/device_trusted" "A String", ], @@ -449,6 +491,13 @@Method Details
"sessionLengthEnabled": True or False, # Optional. Big red button to turn off GCSL. When false, all fields set above will be disregarded and the session length is basically infinite. "useOidcMaxAge": True or False, # Optional. Only useful for OIDC apps. When false, the OIDC max_age param, if passed in the authentication request will be ignored. When true, the re-auth period will be the minimum of the session_length field and the max_age OIDC param. }, + "sessionSettings": { # Stores settings related to Google Cloud Session Length including session duration, the type of challenge (i.e. method) they should face when their session expires, and other related settings. # Optional. Session settings applied to user access on a given AccessScope. Migrated from ReauthSettings + "maxInactivity": "A String", # Optional. How long a user is allowed to take between actions before a new access token must be issued. Presently only set for Cloud Apps. + "sessionLength": "A String", # Optional. The session length. Setting this field to zero is equal to disabling. Session. Also can set infinite session by flipping the enabled bit to false below. If use_oidc_max_age is true, for OIDC apps, the session length will be the minimum of this field and OIDC max_age param. + "sessionLengthEnabled": True or False, # Optional. Big red button to turn off GCSL. When false, all fields set above will be disregarded and the session length is basically infinite. + "sessionReauthMethod": "A String", # Optional. Session method when users GCP session is up. + "useOidcMaxAge": True or False, # Optional. Only useful for OIDC apps. When false, the OIDC max_age param, if passed in the authentication request will be ignored. When true, the re-auth period will be the minimum of the session_length field and the max_age OIDC param. + }, }, "dryRunSettings": { # Access settings represent the set of conditions that must be met for access to be granted. At least one of the fields must be set. # Optional. Dry-run access settings for this scoped access settings. This field may be empty if active_settings is set. "accessLevels": [ # Optional. Access level that a user must have to be granted access. Only one access level is supported, not multiple. This repeated field must have exactly one element. Example: "accessPolicies/9522/accessLevels/device_trusted" @@ -461,6 +510,13 @@Method Details
"sessionLengthEnabled": True or False, # Optional. Big red button to turn off GCSL. When false, all fields set above will be disregarded and the session length is basically infinite. "useOidcMaxAge": True or False, # Optional. Only useful for OIDC apps. When false, the OIDC max_age param, if passed in the authentication request will be ignored. When true, the re-auth period will be the minimum of the session_length field and the max_age OIDC param. }, + "sessionSettings": { # Stores settings related to Google Cloud Session Length including session duration, the type of challenge (i.e. method) they should face when their session expires, and other related settings. # Optional. Session settings applied to user access on a given AccessScope. Migrated from ReauthSettings + "maxInactivity": "A String", # Optional. How long a user is allowed to take between actions before a new access token must be issued. Presently only set for Cloud Apps. + "sessionLength": "A String", # Optional. The session length. Setting this field to zero is equal to disabling. Session. Also can set infinite session by flipping the enabled bit to false below. If use_oidc_max_age is true, for OIDC apps, the session length will be the minimum of this field and OIDC max_age param. + "sessionLengthEnabled": True or False, # Optional. Big red button to turn off GCSL. When false, all fields set above will be disregarded and the session length is basically infinite. + "sessionReauthMethod": "A String", # Optional. Session method when users GCP session is up. + "useOidcMaxAge": True or False, # Optional. Only useful for OIDC apps. When false, the OIDC max_age param, if passed in the authentication request will be ignored. When true, the re-auth period will be the minimum of the session_length field and the max_age OIDC param. + }, }, "scope": { # Access scope represents the client scope, etc. to which the settings will be applied to. # Optional. Application, etc. to which the access settings will be applied to. Implicitly, this is the scoped access settings key; as such, it must be unique and non-empty. "clientScope": { # Client scope represents the application, etc. subject to this binding's restrictions. # Optional. Client scope for this access scope. @@ -474,8 +530,8 @@Method Details
], } - appendScopedAccessSettings: boolean, Optional. This field will be used to control whether or not scoped access settings are appended to the existing list of scoped access settings. If true, the scoped access settings in the request will be appended to the existing list of scoped access settings. If false, the scoped access settings in the request replace the existing list of scoped access settings. - updateMask: string, Required. Only the fields specified in this mask are updated. Because name and group_key cannot be changed, update_mask is required and may only contain the following fields: `access_levels`, `dry_run_access_levels`, `reauth_settings`, `scoped_access_settings`. update_mask { paths: "access_levels" } + append: boolean, Optional. This field controls whether or not certain repeated settings in the update request overwrite or append to existing settings on the binding. If true, then append. Otherwise overwrite. So far, only scoped_access_settings supports appending. Global access_levels, dry_run_access_levels, reauth_settings, and session_settings are not compatible with append functionality, and the request will return an error if append=true when these settings are in the update_mask. The request will also return an error if append=true when "scoped_access_settings" is not set in the update_mask. + updateMask: string, Required. Only the fields specified in this mask are updated. Because name and group_key cannot be changed, update_mask is required and may only contain the following fields: `access_levels`, `dry_run_access_levels`, `reauth_settings` `session_settings`, `scoped_access_settings`. update_mask { paths: "access_levels" } x__xgafv: string, V1 error format. Allowed values 1 - v1 error format diff --git a/docs/dyn/aiplatform_v1.endpoints.html b/docs/dyn/aiplatform_v1.endpoints.html index 6f513b9d3c..dda9ec2055 100644 --- a/docs/dyn/aiplatform_v1.endpoints.html +++ b/docs/dyn/aiplatform_v1.endpoints.html @@ -213,6 +213,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -226,7 +227,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -318,7 +319,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -352,7 +353,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -472,6 +473,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -485,7 +487,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -591,7 +593,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -625,7 +627,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -889,6 +891,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -902,7 +905,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1008,7 +1011,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1042,7 +1045,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1.projects.locations.customJobs.html b/docs/dyn/aiplatform_v1.projects.locations.customJobs.html index 83c11d6f09..25f9ae5f3b 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.customJobs.html +++ b/docs/dyn/aiplatform_v1.projects.locations.customJobs.html @@ -169,6 +169,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -294,6 +296,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -461,6 +465,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -599,6 +605,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html index 785b5f1054..3de4931bbe 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html +++ b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html @@ -271,6 +271,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -284,7 +285,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -376,7 +377,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -410,7 +411,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1357,6 +1358,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1370,7 +1372,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1476,7 +1478,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1510,7 +1512,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3087,6 +3089,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -3100,7 +3103,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3206,7 +3209,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3240,7 +3243,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1.projects.locations.featureGroups.features.html b/docs/dyn/aiplatform_v1.projects.locations.featureGroups.features.html index bb7c563965..4587867533 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.featureGroups.features.html +++ b/docs/dyn/aiplatform_v1.projects.locations.featureGroups.features.html @@ -79,6 +79,9 @@Instance Methods
Returns the operations Resource.
++
+batchCreate(parent, body=None, x__xgafv=None)Creates a batch of Features in a given FeatureGroup.
Close httplib2 connections.
@@ -101,6 +104,81 @@Instance Methods
patch(name, body=None, updateMask=None, x__xgafv=None)Updates the parameters of a single Feature.
Method Details
+++batchCreate(parent, body=None, x__xgafv=None)+Creates a batch of Features in a given FeatureGroup. + +Args: + parent: string, Required. The resource name of the EntityType/FeatureGroup to create the batch of Features under. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` `projects/{project}/locations/{location}/featureGroups/{feature_group}` (required) + body: object, The request body. + The object takes the form of: + +{ # Request message for FeaturestoreService.BatchCreateFeatures. Request message for FeatureRegistryService.BatchCreateFeatures. + "requests": [ # Required. The request message specifying the Features to create. All Features must be created under the same parent EntityType / FeatureGroup. The `parent` field in each child request message can be omitted. If `parent` is set in a child request, then the value must match the `parent` value in this request message. + { # Request message for FeaturestoreService.CreateFeature. Request message for FeatureRegistryService.CreateFeature. + "feature": { # Feature Metadata information. For example, color is a feature that describes an apple. # Required. The Feature to create. + "createTime": "A String", # Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was created. + "description": "A String", # Description of the Feature. + "disableMonitoring": True or False, # Optional. Only applicable for Vertex AI Feature Store (Legacy). If not set, use the monitoring_config defined for the EntityType this Feature belongs to. Only Features with type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring. If set to true, all types of data monitoring are disabled despite the config on EntityType. + "etag": "A String", # Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. + "labels": { # Optional. The labels with user-defined metadata to organize your Features. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one Feature (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. + "a_key": "A String", + }, + "monitoringStatsAnomalies": [ # Output only. Only applicable for Vertex AI Feature Store (Legacy). The list of historical stats and anomalies with specified objectives. + { # A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending. + "featureStatsAnomaly": { # Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display. # Output only. The stats and anomalies generated at specific timestamp. + "anomalyDetectionThreshold": 3.14, # This is the threshold used when detecting anomalies. The threshold can be changed by user, so this one might be different from ThresholdConfig.value. + "anomalyUri": "A String", # Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs:////anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message [tensorflow.metadata.v0.AnomalyInfo] (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto). + "distributionDeviation": 3.14, # Deviation from the current stats to baseline stats. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. + "endTime": "A String", # The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values). + "score": 3.14, # Feature importance score, only populated when cross-feature monitoring is enabled. For now only used to represent feature attribution score within range [0, 1] for ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW and ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT. + "startTime": "A String", # The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval). + "statsUri": "A String", # Path of the stats file for current feature values in Cloud Storage bucket. Format: gs:////stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto). + }, + "objective": "A String", # Output only. The objective for each stats. + }, + ], + "name": "A String", # Immutable. Name of the Feature. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}` `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}` The last part feature is assigned by the client. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type. + "pointOfContact": "A String", # Entity responsible for maintaining this feature. Can be comma separated list of email addresses or URIs. + "updateTime": "A String", # Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was most recently updated. + "valueType": "A String", # Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value. + "versionColumnName": "A String", # Only applicable for Vertex AI Feature Store. The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use feature_id. + }, + "featureId": "A String", # Required. The ID to use for the Feature, which will become the final component of the Feature's resource name. This value may be up to 128 characters, and valid characters are `[a-z0-9_]`. The first character cannot be a number. The value must be unique within an EntityType/FeatureGroup. + "parent": "A String", # Required. The resource name of the EntityType or FeatureGroup to create a Feature. Format for entity_type as parent: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` Format for feature_group as parent: `projects/{project}/locations/{location}/featureGroups/{feature_group}` + }, + ], +} + + 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. + }, +}+diff --git a/docs/dyn/artifactregistry_v1.projects.locations.repositories.rules.html b/docs/dyn/artifactregistry_v1.projects.locations.repositories.rules.html index 49b3e86ded..07bc6a9ca9 100644 --- a/docs/dyn/artifactregistry_v1.projects.locations.repositories.rules.html +++ b/docs/dyn/artifactregistry_v1.projects.locations.repositories.rules.html @@ -110,17 +110,17 @@close()Close httplib2 connections.diff --git a/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html b/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html index 4e164c0d79..2691f612b5 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html +++ b/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html @@ -179,6 +179,7 @@Method Details
"satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "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. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "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 ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -398,6 +399,7 @@Method Details
"satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -504,6 +506,7 @@Method Details
"satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -581,6 +584,7 @@Method Details
"satisfiesPzi": True or False, # Output only. Reserved for future use. "satisfiesPzs": True or False, # Output only. Reserved for future use. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${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 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. diff --git a/docs/dyn/aiplatform_v1.projects.locations.html b/docs/dyn/aiplatform_v1.projects.locations.html index 868316b9dc..ac5b95c38e 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.html +++ b/docs/dyn/aiplatform_v1.projects.locations.html @@ -495,7 +495,7 @@Method Details
}, ], "metricSpec": { # Spec for tool parameter key value match metric. # Required. Spec for tool parameter key value match metric. - "useStrictStringMatch": True or False, # Optional. Whether to use STRCIT string match on parameter values. + "useStrictStringMatch": True or False, # Optional. Whether to use STRICT string match on parameter values. }, }, } diff --git a/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html b/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html index e8bec69801..d869d3aaf5 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html +++ b/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html @@ -272,6 +272,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -532,6 +534,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -834,6 +838,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1107,6 +1113,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html b/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html index c0e6fa28ff..93e48fd40b 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html +++ b/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html @@ -225,6 +225,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -316,6 +318,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -495,6 +499,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -586,6 +592,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -807,6 +815,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -898,6 +908,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1090,6 +1102,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1181,6 +1195,8 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html index 1882019962..23e3f3ca69 100644 --- a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html +++ b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html @@ -225,6 +225,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -238,7 +239,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -330,7 +331,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -364,7 +365,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -484,6 +485,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -497,7 +499,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -603,7 +605,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -637,7 +639,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1165,6 +1167,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1178,7 +1181,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1284,7 +1287,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1318,7 +1321,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1.publishers.models.html b/docs/dyn/aiplatform_v1.publishers.models.html index 9e037d03b6..872cda658c 100644 --- a/docs/dyn/aiplatform_v1.publishers.models.html +++ b/docs/dyn/aiplatform_v1.publishers.models.html @@ -216,6 +216,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -229,7 +230,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -321,7 +322,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -355,7 +356,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -475,6 +476,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -488,7 +490,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -594,7 +596,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -628,7 +630,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1285,6 +1287,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1298,7 +1301,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1404,7 +1407,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1438,7 +1441,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.endpoints.html b/docs/dyn/aiplatform_v1beta1.endpoints.html index ec6dd600fe..1325020fa6 100644 --- a/docs/dyn/aiplatform_v1beta1.endpoints.html +++ b/docs/dyn/aiplatform_v1beta1.endpoints.html @@ -213,6 +213,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -226,7 +227,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -318,7 +319,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -352,7 +353,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -473,6 +474,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -486,7 +488,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -592,7 +594,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -626,7 +628,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -895,6 +897,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -908,7 +911,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1014,7 +1017,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1048,7 +1051,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html b/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html index 786e44df5f..9c15e089de 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html @@ -202,7 +202,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -236,7 +236,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -406,7 +406,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -440,7 +440,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -635,7 +635,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -669,7 +669,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -850,7 +850,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -884,7 +884,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1073,7 +1073,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1107,7 +1107,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1278,7 +1278,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1312,7 +1312,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.customJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.customJobs.html index 6e6948d250..b2b036e047 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.customJobs.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.customJobs.html @@ -169,6 +169,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -294,6 +297,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -461,6 +467,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -599,6 +608,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html index 4f8e0690bf..e3e90b128f 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html @@ -280,6 +280,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -293,7 +294,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -385,7 +386,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -419,7 +420,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1506,6 +1507,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1519,7 +1521,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1625,7 +1627,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1659,7 +1661,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3362,6 +3364,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -3375,7 +3378,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3481,7 +3484,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -3515,7 +3518,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html b/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html index f96edb2200..188d9cc8f4 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.extensions.html @@ -228,7 +228,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -262,7 +262,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -388,7 +388,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -422,7 +422,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -587,7 +587,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -621,7 +621,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -764,7 +764,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -798,7 +798,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -923,7 +923,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -957,7 +957,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.features.html b/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.features.html index aca2a12ec9..cc4e79f396 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.features.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.featureGroups.features.html @@ -79,6 +79,9 @@Instance Methods
Returns the operations Resource.
++
+batchCreate(parent, body=None, x__xgafv=None)Creates a batch of Features in a given FeatureGroup.
Close httplib2 connections.
@@ -101,6 +104,110 @@Instance Methods
patch(name, body=None, updateMask=None, x__xgafv=None)Updates the parameters of a single Feature.
Method Details
+++batchCreate(parent, body=None, x__xgafv=None)+Creates a batch of Features in a given FeatureGroup. + +Args: + parent: string, Required. The resource name of the EntityType/FeatureGroup to create the batch of Features under. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` `projects/{project}/locations/{location}/featureGroups/{feature_group}` (required) + body: object, The request body. + The object takes the form of: + +{ # Request message for FeaturestoreService.BatchCreateFeatures. Request message for FeatureRegistryService.BatchCreateFeatures. + "requests": [ # Required. The request message specifying the Features to create. All Features must be created under the same parent EntityType / FeatureGroup. The `parent` field in each child request message can be omitted. If `parent` is set in a child request, then the value must match the `parent` value in this request message. + { # Request message for FeaturestoreService.CreateFeature. Request message for FeatureRegistryService.CreateFeature. + "feature": { # Feature Metadata information. For example, color is a feature that describes an apple. # Required. The Feature to create. + "createTime": "A String", # Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was created. + "description": "A String", # Description of the Feature. + "disableMonitoring": True or False, # Optional. Only applicable for Vertex AI Feature Store (Legacy). If not set, use the monitoring_config defined for the EntityType this Feature belongs to. Only Features with type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring. If set to true, all types of data monitoring are disabled despite the config on EntityType. + "etag": "A String", # Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. + "labels": { # Optional. The labels with user-defined metadata to organize your Features. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one Feature (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. + "a_key": "A String", + }, + "monitoringConfig": { # Configuration of how features in Featurestore are monitored. # Optional. Only applicable for Vertex AI Feature Store (Legacy). Deprecated: The custom monitoring configuration for this Feature, if not set, use the monitoring_config defined for the EntityType this Feature belongs to. Only Features with type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring. If this is populated with FeaturestoreMonitoringConfig.disabled = true, snapshot analysis monitoring is disabled; if FeaturestoreMonitoringConfig.monitoring_interval specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring config is same as the EntityType's this Feature belongs to. + "categoricalThresholdConfig": { # The config for Featurestore Monitoring threshold. # Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type (Feature.ValueType) BOOL or STRING). + "value": 3.14, # Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. + }, + "importFeaturesAnalysis": { # Configuration of the Featurestore's ImportFeature Analysis Based Monitoring. This type of analysis generates statistics for values of each Feature imported by every ImportFeatureValues operation. # The config for ImportFeatures Analysis Based Feature Monitoring. + "anomalyDetectionBaseline": "A String", # The baseline used to do anomaly detection for the statistics generated by import features analysis. + "state": "A String", # Whether to enable / disable / inherite default hebavior for import features analysis. + }, + "numericalThresholdConfig": { # The config for Featurestore Monitoring threshold. # Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type (Feature.ValueType) DOUBLE or INT64). + "value": 3.14, # Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. + }, + "snapshotAnalysis": { # Configuration of the Featurestore's Snapshot Analysis Based Monitoring. This type of analysis generates statistics for each Feature based on a snapshot of the latest feature value of each entities every monitoring_interval. # The config for Snapshot Analysis Based Feature Monitoring. + "disabled": True or False, # The monitoring schedule for snapshot analysis. For EntityType-level config: unset / disabled = true indicates disabled by default for Features under it; otherwise by default enable snapshot analysis monitoring with monitoring_interval for Features under it. Feature-level config: disabled = true indicates disabled regardless of the EntityType-level config; unset monitoring_interval indicates going with EntityType-level config; otherwise run snapshot analysis monitoring with monitoring_interval regardless of the EntityType-level config. Explicitly Disable the snapshot analysis based monitoring. + "monitoringInterval": "A String", # Configuration of the snapshot analysis based monitoring pipeline running interval. The value is rolled up to full day. If both monitoring_interval_days and the deprecated `monitoring_interval` field are set when creating/updating EntityTypes/Features, monitoring_interval_days will be used. + "monitoringIntervalDays": 42, # Configuration of the snapshot analysis based monitoring pipeline running interval. The value indicates number of days. + "stalenessDays": 42, # Customized export features time window for snapshot analysis. Unit is one day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is 4000 days. + }, + }, + "monitoringStats": [ # Output only. Only applicable for Vertex AI Feature Store (Legacy). A list of historical SnapshotAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending. + { # Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display. + "anomalyDetectionThreshold": 3.14, # This is the threshold used when detecting anomalies. The threshold can be changed by user, so this one might be different from ThresholdConfig.value. + "anomalyUri": "A String", # Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs:////anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message [tensorflow.metadata.v0.AnomalyInfo] (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto). + "distributionDeviation": 3.14, # Deviation from the current stats to baseline stats. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. + "endTime": "A String", # The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values). + "score": 3.14, # Feature importance score, only populated when cross-feature monitoring is enabled. For now only used to represent feature attribution score within range [0, 1] for ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW and ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT. + "startTime": "A String", # The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval). + "statsUri": "A String", # Path of the stats file for current feature values in Cloud Storage bucket. Format: gs:////stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto). + }, + ], + "monitoringStatsAnomalies": [ # Output only. Only applicable for Vertex AI Feature Store (Legacy). The list of historical stats and anomalies with specified objectives. + { # A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending. + "featureStatsAnomaly": { # Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display. # Output only. The stats and anomalies generated at specific timestamp. + "anomalyDetectionThreshold": 3.14, # This is the threshold used when detecting anomalies. The threshold can be changed by user, so this one might be different from ThresholdConfig.value. + "anomalyUri": "A String", # Path of the anomaly file for current feature values in Cloud Storage bucket. Format: gs:////anomalies. Example: gs://monitoring_bucket/feature_name/anomalies. Stats are stored as binary format with Protobuf message Anoamlies are stored as binary format with Protobuf message [tensorflow.metadata.v0.AnomalyInfo] (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto). + "distributionDeviation": 3.14, # Deviation from the current stats to baseline stats. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. + "endTime": "A String", # The end timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), end_time indicates the timestamp of the data used to generate stats (e.g. timestamp we take snapshots for feature values). + "score": 3.14, # Feature importance score, only populated when cross-feature monitoring is enabled. For now only used to represent feature attribution score within range [0, 1] for ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW and ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT. + "startTime": "A String", # The start timestamp of window where stats were generated. For objectives where time window doesn't make sense (e.g. Featurestore Snapshot Monitoring), start_time is only used to indicate the monitoring intervals, so it always equals to (end_time - monitoring_interval). + "statsUri": "A String", # Path of the stats file for current feature values in Cloud Storage bucket. Format: gs:////stats. Example: gs://monitoring_bucket/feature_name/stats. Stats are stored as binary format with Protobuf message [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto). + }, + "objective": "A String", # Output only. The objective for each stats. + }, + ], + "name": "A String", # Immutable. Name of the Feature. Format: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}` `projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}` The last part feature is assigned by the client. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type. + "pointOfContact": "A String", # Entity responsible for maintaining this feature. Can be comma separated list of email addresses or URIs. + "updateTime": "A String", # Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was most recently updated. + "valueType": "A String", # Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value. + "versionColumnName": "A String", # Only applicable for Vertex AI Feature Store. The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use feature_id. + }, + "featureId": "A String", # Required. The ID to use for the Feature, which will become the final component of the Feature's resource name. This value may be up to 128 characters, and valid characters are `[a-z0-9_]`. The first character cannot be a number. The value must be unique within an EntityType/FeatureGroup. + "parent": "A String", # Required. The resource name of the EntityType or FeatureGroup to create a Feature. Format for entity_type as parent: `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}` Format for feature_group as parent: `projects/{project}/locations/{location}/featureGroups/{feature_group}` + }, + ], +} + + 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. + }, +}+@@ -668,6 +680,12 @@close()Close httplib2 connections.diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html index db6778f21d..642ced6f43 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.featureOnlineStores.featureViews.html @@ -190,6 +190,7 @@Method Details
"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, 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. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "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 ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -433,6 +434,7 @@Method Details
"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store. "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -561,6 +563,7 @@Method Details
"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store. "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 * * * *", or "TZ=America/New_York 1 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. @@ -660,6 +663,7 @@Method Details
"serviceAccountEmail": "A String", # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store. "serviceAgentType": "A String", # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table. "syncConfig": { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving. + "continuous": True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store. "cron": "A String", # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${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 * * * *". }, "updateTime": "A String", # Output only. Timestamp when this FeatureView was last updated. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.html b/docs/dyn/aiplatform_v1beta1.projects.locations.html index b98d3cc6c5..1a2328dffd 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.html @@ -763,7 +763,7 @@Method Details
}, ], "metricSpec": { # Spec for tool parameter key value match metric. # Required. Spec for tool parameter key value match metric. - "useStrictStringMatch": True or False, # Optional. Whether to use STRCIT string match on parameter values. + "useStrictStringMatch": True or False, # Optional. Whether to use STRICT string match on parameter values. }, }, } diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.hyperparameterTuningJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.hyperparameterTuningJobs.html index 16edfa34cd..bc0de3991b 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.hyperparameterTuningJobs.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.hyperparameterTuningJobs.html @@ -285,6 +285,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -558,6 +561,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -873,6 +879,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1159,6 +1168,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.nasJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.nasJobs.html index b7a5627875..18342ca5ca 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.nasJobs.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.nasJobs.html @@ -225,6 +225,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -316,6 +319,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -495,6 +501,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -586,6 +595,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -807,6 +819,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -898,6 +913,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1090,6 +1108,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1181,6 +1202,9 @@Method Details
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network. "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected. "protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.pipelineJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.pipelineJobs.html index 8cb3697c31..1112ba8301 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.pipelineJobs.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.pipelineJobs.html @@ -463,6 +463,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -737,6 +740,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1052,6 +1058,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1340,6 +1349,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html index 0aca34b8b4..d090ad4485 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html @@ -228,6 +228,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -241,7 +242,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -333,7 +334,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -367,7 +368,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -488,6 +489,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -501,7 +503,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -607,7 +609,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -641,7 +643,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1209,6 +1211,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1222,7 +1225,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1328,7 +1331,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1362,7 +1365,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.schedules.html b/docs/dyn/aiplatform_v1beta1.projects.locations.schedules.html index 8185b0fee9..bc5efed458 100644 --- a/docs/dyn/aiplatform_v1beta1.projects.locations.schedules.html +++ b/docs/dyn/aiplatform_v1beta1.projects.locations.schedules.html @@ -715,6 +715,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -1373,6 +1376,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -2073,6 +2079,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -2745,6 +2754,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -3421,6 +3433,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], @@ -4080,6 +4095,9 @@Method Details
}, ], "preflightValidations": True or False, # Optional. Whether to do component level validations before job creation. + "pscInterfaceConfig": { # Configuration for PSC-I. # Optional. Configuration for PSC-I for PipelineJob. + "networkAttachment": "A String", # Optional. The full name of the Compute Engine [network attachment](https://cloud.google.com/vpc/docs/about-network-attachments) to attach to the resource. For example, `projects/12345/regions/us-central1/networkAttachments/myNA`. is of the form `projects/{project}/regions/{region}/networkAttachments/{networkAttachment}`. Where {project} is a project number, as in `12345`, and {networkAttachment} is a network attachment name. To specify this field, you must have already [created a network attachment] (https://cloud.google.com/vpc/docs/create-manage-network-attachments#create-network-attachments). This field is only used for resources using PSC-I. + }, "reservedIpRanges": [ # A list of names for the reserved ip ranges under the VPC network that can be used for this Pipeline Job's workload. If set, we will deploy the Pipeline Job's workload within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range']. "A String", ], diff --git a/docs/dyn/aiplatform_v1beta1.publishers.models.html b/docs/dyn/aiplatform_v1beta1.publishers.models.html index fd389d7fb4..6d3d458666 100644 --- a/docs/dyn/aiplatform_v1beta1.publishers.models.html +++ b/docs/dyn/aiplatform_v1beta1.publishers.models.html @@ -222,6 +222,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config that the model will use to generate the response. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -235,7 +236,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -327,7 +328,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -361,7 +362,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -482,6 +483,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -495,7 +497,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -601,7 +603,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -635,7 +637,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1729,6 +1731,7 @@Method Details
}, ], "generationConfig": { # Generation config. # Optional. Generation config. + "audioTimestamp": True or False, # Optional. If enabled, audio timestamp will be included in the request to the model. "candidateCount": 42, # Optional. Number of candidates to generate. "frequencyPenalty": 3.14, # Optional. Frequency penalties. "logprobs": 42, # Optional. Logit probabilities. @@ -1742,7 +1745,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1848,7 +1851,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. @@ -1882,7 +1885,7 @@Method Details
], "default": "", # Optional. Default value of the data. "description": "A String", # Optional. The description of the data. - "enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + "enum": [ # Optional. Possible values of the element of primitive type with enum format. Examples: 1. We can define direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} 2. We can define apartment number as : {type:INTEGER, format:enum, enum:["101", "201", "301"]} "A String", ], "example": "", # Optional. Example of the object. Will only populated when the object is the root. diff --git a/docs/dyn/androidenterprise_v1.devices.html b/docs/dyn/androidenterprise_v1.devices.html index bfcb4b0419..4b7bb4a18f 100644 --- a/docs/dyn/androidenterprise_v1.devices.html +++ b/docs/dyn/androidenterprise_v1.devices.html @@ -146,6 +146,7 @@Method Details
"durationMs": "A String", # Duration of the maintenance window, in milliseconds. The duration must be between 30 minutes and 24 hours (inclusive). "startTimeAfterMidnightMs": "A String", # Start time of the maintenance window, in milliseconds after midnight on the device. Windows can span midnight. }, + "policyId": "A String", # An identifier for the policy that will be passed with the app install feedback sent from the Play Store. "productAvailabilityPolicy": "A String", # The availability granted to the device for the specified products. "all" gives the device access to all products, regardless of approval status. "all" does not enable automatic visibility of "alpha" or "beta" tracks. "whitelist" grants the device access the products specified in productPolicy[]. Only products that are approved or products that were previously approved (products with revoked approval) by the enterprise can be whitelisted. If no value is provided, the availability set at the user level is applied by default. "productPolicy": [ # The list of product policies. The productAvailabilityPolicy needs to be set to WHITELIST or ALL for the product policies to be applied. { # The policy for a product. @@ -288,6 +289,7 @@Method Details
"durationMs": "A String", # Duration of the maintenance window, in milliseconds. The duration must be between 30 minutes and 24 hours (inclusive). "startTimeAfterMidnightMs": "A String", # Start time of the maintenance window, in milliseconds after midnight on the device. Windows can span midnight. }, + "policyId": "A String", # An identifier for the policy that will be passed with the app install feedback sent from the Play Store. "productAvailabilityPolicy": "A String", # The availability granted to the device for the specified products. "all" gives the device access to all products, regardless of approval status. "all" does not enable automatic visibility of "alpha" or "beta" tracks. "whitelist" grants the device access the products specified in productPolicy[]. Only products that are approved or products that were previously approved (products with revoked approval) by the enterprise can be whitelisted. If no value is provided, the availability set at the user level is applied by default. "productPolicy": [ # The list of product policies. The productAvailabilityPolicy needs to be set to WHITELIST or ALL for the product policies to be applied. { # The policy for a product. @@ -433,6 +435,7 @@Method Details
"durationMs": "A String", # Duration of the maintenance window, in milliseconds. The duration must be between 30 minutes and 24 hours (inclusive). "startTimeAfterMidnightMs": "A String", # Start time of the maintenance window, in milliseconds after midnight on the device. Windows can span midnight. }, + "policyId": "A String", # An identifier for the policy that will be passed with the app install feedback sent from the Play Store. "productAvailabilityPolicy": "A String", # The availability granted to the device for the specified products. "all" gives the device access to all products, regardless of approval status. "all" does not enable automatic visibility of "alpha" or "beta" tracks. "whitelist" grants the device access the products specified in productPolicy[]. Only products that are approved or products that were previously approved (products with revoked approval) by the enterprise can be whitelisted. If no value is provided, the availability set at the user level is applied by default. "productPolicy": [ # The list of product policies. The productAvailabilityPolicy needs to be set to WHITELIST or ALL for the product policies to be applied. { # The policy for a product. @@ -545,6 +548,7 @@Method Details
"durationMs": "A String", # Duration of the maintenance window, in milliseconds. The duration must be between 30 minutes and 24 hours (inclusive). "startTimeAfterMidnightMs": "A String", # Start time of the maintenance window, in milliseconds after midnight on the device. Windows can span midnight. }, + "policyId": "A String", # An identifier for the policy that will be passed with the app install feedback sent from the Play Store. "productAvailabilityPolicy": "A String", # The availability granted to the device for the specified products. "all" gives the device access to all products, regardless of approval status. "all" does not enable automatic visibility of "alpha" or "beta" tracks. "whitelist" grants the device access the products specified in productPolicy[]. Only products that are approved or products that were previously approved (products with revoked approval) by the enterprise can be whitelisted. If no value is provided, the availability set at the user level is applied by default. "productPolicy": [ # The list of product policies. The productAvailabilityPolicy needs to be set to WHITELIST or ALL for the product policies to be applied. { # The policy for a product. diff --git a/docs/dyn/androidpublisher_v3.applications.deviceTierConfigs.html b/docs/dyn/androidpublisher_v3.applications.deviceTierConfigs.html index fd03136b71..55e533fd17 100644 --- a/docs/dyn/androidpublisher_v3.applications.deviceTierConfigs.html +++ b/docs/dyn/androidpublisher_v3.applications.deviceTierConfigs.html @@ -135,6 +135,12 @@Method Details
"name": "A String", # The name of the feature. }, ], + "systemOnChips": [ # Optional. The SoCs included by this selector. Only works for Android S+ devices. + { # Representation of a System-on-Chip (SoC) of an Android device. Can be used to target S+ devices. + "manufacturer": "A String", # Required. The designer of the SoC, eg. "Google" Value of build property "ro.soc.manufacturer" https://developer.android.com/reference/android/os/Build#SOC_MANUFACTURER Required. + "model": "A String", # Required. The model of the SoC, eg. "Tensor" Value of build property "ro.soc.model" https://developer.android.com/reference/android/os/Build#SOC_MODEL Required. + }, + ], }, ], "name": "A String", # The name of the group. @@ -201,6 +207,12 @@Method Details
"name": "A String", # The name of the feature. }, ], + "systemOnChips": [ # Optional. The SoCs included by this selector. Only works for Android S+ devices. + { # Representation of a System-on-Chip (SoC) of an Android device. Can be used to target S+ devices. + "manufacturer": "A String", # Required. The designer of the SoC, eg. "Google" Value of build property "ro.soc.manufacturer" https://developer.android.com/reference/android/os/Build#SOC_MANUFACTURER Required. + "model": "A String", # Required. The model of the SoC, eg. "Tensor" Value of build property "ro.soc.model" https://developer.android.com/reference/android/os/Build#SOC_MODEL Required. + }, + ], }, ], "name": "A String", # The name of the group. @@ -274,6 +286,12 @@Method Details
"name": "A String", # The name of the feature. }, ], + "systemOnChips": [ # Optional. The SoCs included by this selector. Only works for Android S+ devices. + { # Representation of a System-on-Chip (SoC) of an Android device. Can be used to target S+ devices. + "manufacturer": "A String", # Required. The designer of the SoC, eg. "Google" Value of build property "ro.soc.manufacturer" https://developer.android.com/reference/android/os/Build#SOC_MANUFACTURER Required. + "model": "A String", # Required. The model of the SoC, eg. "Tensor" Value of build property "ro.soc.model" https://developer.android.com/reference/android/os/Build#SOC_MODEL Required. + }, + ], }, ], "name": "A String", # The name of the group. @@ -350,6 +368,12 @@Method Details
"name": "A String", # The name of the feature. }, ], + "systemOnChips": [ # Optional. The SoCs included by this selector. Only works for Android S+ devices. + { # Representation of a System-on-Chip (SoC) of an Android device. Can be used to target S+ devices. + "manufacturer": "A String", # Required. The designer of the SoC, eg. "Google" Value of build property "ro.soc.manufacturer" https://developer.android.com/reference/android/os/Build#SOC_MANUFACTURER Required. + "model": "A String", # Required. The model of the SoC, eg. "Tensor" Value of build property "ro.soc.model" https://developer.android.com/reference/android/os/Build#SOC_MODEL Required. + }, + ], }, ], "name": "A String", # The name of the group. diff --git a/docs/dyn/apigee_v1.organizations.securityProfilesV2.html b/docs/dyn/apigee_v1.organizations.securityProfilesV2.html index 53a1c2b3fa..26006f33fa 100644 --- a/docs/dyn/apigee_v1.organizations.securityProfilesV2.html +++ b/docs/dyn/apigee_v1.organizations.securityProfilesV2.html @@ -106,7 +106,7 @@Method Details
Create a security profile v2. Args: - parent: string, Required. The parent resource name. (required) + parent: string, Required. The parent resource name. Format: `organizations/{org}` (required) body: object, The request body. The object takes the form of: @@ -151,7 +151,7 @@Method Details
Delete a security profile v2. Args: - name: string, Required. The name of the security profile v2 to delete. (required) + name: string, Required. The name of the security profile v2 to delete. Format: `organizations/{org}/securityProfilesV2/{profile}` (required) x__xgafv: string, V1 error format. Allowed values 1 - v1 error format @@ -169,7 +169,7 @@Method Details
Get a security profile v2. Args: - name: string, Required. The security profile id. (required) + name: string, Required. The name of the security profile v2 to get. Format: `organizations/{org}/securityProfilesV2/{profile}` (required) x__xgafv: string, V1 error format. Allowed values 1 - v1 error format @@ -263,7 +263,7 @@@@ -372,6 +374,7 @@Method Details
"updateTime": "A String", # Output only. The time of the security profile update. } - updateMask: string, Required. The list of fields to update. + updateMask: string, Optional. The list of fields to update. Valid fields to update are `description` and `profileAssessmentConfigs`. x__xgafv: string, V1 error format. Allowed values 1 - v1 error format diff --git a/docs/dyn/apikeys_v2.projects.locations.keys.html b/docs/dyn/apikeys_v2.projects.locations.keys.html index 7c2931178b..16e77690e8 100644 --- a/docs/dyn/apikeys_v2.projects.locations.keys.html +++ b/docs/dyn/apikeys_v2.projects.locations.keys.html @@ -159,6 +159,7 @@Method Details
], }, }, + "serviceAccountEmail": "A String", # Optional. The email address of [the service account](https://cloud.google.com/iam/docs/service-accounts) the key is bound to. "uid": "A String", # Output only. Unique id in UUID4 format. "updateTime": "A String", # Output only. A timestamp identifying the time this key was last updated. } @@ -286,6 +287,7 @@Method Details
], }, }, + "serviceAccountEmail": "A String", # Optional. The email address of [the service account](https://cloud.google.com/iam/docs/service-accounts) the key is bound to. "uid": "A String", # Output only. Unique id in UUID4 format. "updateTime": "A String", # Output only. A timestamp identifying the time this key was last updated. }Method Details
], }, }, + "serviceAccountEmail": "A String", # Optional. The email address of [the service account](https://cloud.google.com/iam/docs/service-accounts) the key is bound to. "uid": "A String", # Output only. Unique id in UUID4 format. "updateTime": "A String", # Output only. A timestamp identifying the time this key was last updated. }, @@ -446,6 +449,7 @@Method Details
], }, }, + "serviceAccountEmail": "A String", # Optional. The email address of [the service account](https://cloud.google.com/iam/docs/service-accounts) the key is bound to. "uid": "A String", # Output only. Unique id in UUID4 format. "updateTime": "A String", # Output only. A timestamp identifying the time this key was last updated. } diff --git a/docs/dyn/artifactregistry_v1.projects.locations.repositories.html b/docs/dyn/artifactregistry_v1.projects.locations.repositories.html index 58a1abc1a4..ff0efb0872 100644 --- a/docs/dyn/artifactregistry_v1.projects.locations.repositories.html +++ b/docs/dyn/artifactregistry_v1.projects.locations.repositories.html @@ -302,6 +302,12 @@Method Details
}, ], }, + "vulnerabilityScanningConfig": { # Config on whether to perform vulnerability scanning for resources in this repository, as well as output fields describing current state. # Optional. Config and state for vulnerability scanning of resources within this Repository. + "enablementConfig": "A String", # Optional. Config for whether this repository has vulnerability scanning disabled. + "enablementState": "A String", # Output only. State of feature enablement, combining repository enablement config and API enablement state. + "enablementStateReason": "A String", # Output only. Reason for the repository state. + "lastEnableTime": "A String", # Output only. The last time this repository config was enabled. + }, } repositoryId: string, Required. The repository id to use for this repository. @@ -496,6 +502,12 @@Method Details
}, ], }, + "vulnerabilityScanningConfig": { # Config on whether to perform vulnerability scanning for resources in this repository, as well as output fields describing current state. # Optional. Config and state for vulnerability scanning of resources within this Repository. + "enablementConfig": "A String", # Optional. Config for whether this repository has vulnerability scanning disabled. + "enablementState": "A String", # Output only. State of feature enablement, combining repository enablement config and API enablement state. + "enablementStateReason": "A String", # Output only. Reason for the repository state. + "lastEnableTime": "A String", # Output only. The last time this repository config was enabled. + }, }Method Details
}, ], }, + "vulnerabilityScanningConfig": { # Config on whether to perform vulnerability scanning for resources in this repository, as well as output fields describing current state. # Optional. Config and state for vulnerability scanning of resources within this Repository. + "enablementConfig": "A String", # Optional. Config for whether this repository has vulnerability scanning disabled. + "enablementState": "A String", # Output only. State of feature enablement, combining repository enablement config and API enablement state. + "enablementStateReason": "A String", # Output only. Reason for the repository state. + "lastEnableTime": "A String", # Output only. The last time this repository config was enabled. + }, }, ], } @@ -809,6 +827,12 @@Method Details
}, ], }, + "vulnerabilityScanningConfig": { # Config on whether to perform vulnerability scanning for resources in this repository, as well as output fields describing current state. # Optional. Config and state for vulnerability scanning of resources within this Repository. + "enablementConfig": "A String", # Optional. Config for whether this repository has vulnerability scanning disabled. + "enablementState": "A String", # Output only. State of feature enablement, combining repository enablement config and API enablement state. + "enablementStateReason": "A String", # Output only. Reason for the repository state. + "lastEnableTime": "A String", # Output only. The last time this repository config was enabled. + }, } updateMask: string, The update mask applies to the resource. For the `FieldMask` definition, see https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#fieldmask @@ -933,6 +957,12 @@Method Details
}, ], }, + "vulnerabilityScanningConfig": { # Config on whether to perform vulnerability scanning for resources in this repository, as well as output fields describing current state. # Optional. Config and state for vulnerability scanning of resources within this Repository. + "enablementConfig": "A String", # Optional. Config for whether this repository has vulnerability scanning disabled. + "enablementState": "A String", # Output only. State of feature enablement, combining repository enablement config and API enablement state. + "enablementStateReason": "A String", # Output only. Reason for the repository state. + "lastEnableTime": "A String", # Output only. The last time this repository config was enabled. + }, }Method Details
body: object, The request body. The object takes the form of: -{ # A Rule applies to repository or package level. It defines the deny or allow action of the operation when the conditions in the rule are met. - "action": "A String", # The action this rule makes. - "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. # Optional. The condition of the rule in CEL expression. If not provided, the rule matches all the objects. +{ # A rule defines the deny or allow action of the operation it applies to and the conditions required for the rule to apply. You can set one rule for an entire repository and one rule for each package within. + "action": "A String", # The action this rule takes. + "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. # Optional. A CEL expression for conditions that must be met in order for the rule to apply. If not provided, the rule matches all objects. "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. }, - "name": "A String", # The name of the rule, for example: "projects/p1/locations/us-central1/repositories/repo1/rules/rule1". + "name": "A String", # The name of the rule, for example: `projects/p1/locations/us-central1/repositories/repo1/rules/rule1`. "operation": "A String", - "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all the packages inside the repository. + "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all packages inside the repository. } ruleId: string, The rule id to use for this repository. @@ -132,17 +132,17 @@Method Details
Returns: An object of the form: - { # A Rule applies to repository or package level. It defines the deny or allow action of the operation when the conditions in the rule are met. - "action": "A String", # The action this rule makes. - "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. # Optional. The condition of the rule in CEL expression. If not provided, the rule matches all the objects. + { # A rule defines the deny or allow action of the operation it applies to and the conditions required for the rule to apply. You can set one rule for an entire repository and one rule for each package within. + "action": "A String", # The action this rule takes. + "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. # Optional. A CEL expression for conditions that must be met in order for the rule to apply. If not provided, the rule matches all objects. "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. }, - "name": "A String", # The name of the rule, for example: "projects/p1/locations/us-central1/repositories/repo1/rules/rule1". + "name": "A String", # The name of the rule, for example: `projects/p1/locations/us-central1/repositories/repo1/rules/rule1`. "operation": "A String", - "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all the packages inside the repository. + "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all packages inside the repository. }
Updates a rule.
Args:
- name: string, The name of the rule, for example: "projects/p1/locations/us-central1/repositories/repo1/rules/rule1". (required)
+ name: string, The name of the rule, for example: `projects/p1/locations/us-central1/repositories/repo1/rules/rule1`. (required)
body: object, The request body.
The object takes the form of:
-{ # A Rule applies to repository or package level. It defines the deny or allow action of the operation when the conditions in the rule are met.
- "action": "A String", # The action this rule makes.
- "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. # Optional. The condition of the rule in CEL expression. If not provided, the rule matches all the objects.
+{ # A rule defines the deny or allow action of the operation it applies to and the conditions required for the rule to apply. You can set one rule for an entire repository and one rule for each package within.
+ "action": "A String", # The action this rule takes.
+ "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. # Optional. A CEL expression for conditions that must be met in order for the rule to apply. If not provided, the rule matches all objects.
"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.
},
- "name": "A String", # The name of the rule, for example: "projects/p1/locations/us-central1/repositories/repo1/rules/rule1".
+ "name": "A String", # The name of the rule, for example: `projects/p1/locations/us-central1/repositories/repo1/rules/rule1`.
"operation": "A String",
- "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all the packages inside the repository.
+ "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all packages inside the repository.
}
updateMask: string, The update mask applies to the resource. For the `FieldMask` definition, see https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#fieldmask
@@ -272,17 +272,17 @@ Method Details
Returns:
An object of the form:
- { # A Rule applies to repository or package level. It defines the deny or allow action of the operation when the conditions in the rule are met.
- "action": "A String", # The action this rule makes.
- "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. # Optional. The condition of the rule in CEL expression. If not provided, the rule matches all the objects.
+ { # A rule defines the deny or allow action of the operation it applies to and the conditions required for the rule to apply. You can set one rule for an entire repository and one rule for each package within.
+ "action": "A String", # The action this rule takes.
+ "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. # Optional. A CEL expression for conditions that must be met in order for the rule to apply. If not provided, the rule matches all objects.
"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.
},
- "name": "A String", # The name of the rule, for example: "projects/p1/locations/us-central1/repositories/repo1/rules/rule1".
+ "name": "A String", # The name of the rule, for example: `projects/p1/locations/us-central1/repositories/repo1/rules/rule1`.
"operation": "A String",
- "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all the packages inside the repository.
+ "packageId": "A String", # The package ID the rule applies to. If empty, this rule applies to all packages inside the repository.
}
diff --git a/docs/dyn/backupdr_v1.projects.locations.backupPlans.html b/docs/dyn/backupdr_v1.projects.locations.backupPlans.html
index eae9e1fab1..19970a4729 100644
--- a/docs/dyn/backupdr_v1.projects.locations.backupPlans.html
+++ b/docs/dyn/backupdr_v1.projects.locations.backupPlans.html
@@ -145,7 +145,7 @@ create(parent, backupVaultId=None, body=None, requestId=None, validateOnly=None, x__xgafv=None)
Creates a new BackupVault in a given project and location.
+delete(name, allowMissing=None, etag=None, force=None, ignoreBackupPlanReferences=None, requestId=None, validateOnly=None, x__xgafv=None)
Deletes a BackupVault.
fetchUsable(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)
delete(name, allowMissing=None, etag=None, force=None, requestId=None, validateOnly=None, x__xgafv=None)
+ delete(name, allowMissing=None, etag=None, force=None, ignoreBackupPlanReferences=None, requestId=None, validateOnly=None, x__xgafv=None)
Deletes a BackupVault. Args: @@ -188,6 +188,7 @@Method Details
allowMissing: boolean, Optional. If true and the BackupVault is not found, the request will succeed but no action will be taken. etag: string, The current etag of the backup vault. If an etag is provided and does not match the current etag of the connection, deletion will be blocked. force: boolean, Optional. If set to true, any data source from this backup vault will also be deleted. + ignoreBackupPlanReferences: boolean, Optional. If set to true, backupvault deletion will proceed even if there are backup plans referencing the backupvault. The default is 'false'. requestId: string, Optional. An optional request ID to identify requests. Specify a unique request ID so that if you must retry your request, the server will know to ignore the request if it has already been completed. The server will guarantee that for at least 60 minutes after the first request. For example, consider a situation where you make an initial request and the request times out. If you make the request again with the same request ID, the server can check if original operation with the same request ID was received, and if so, will ignore the second request. This prevents clients from accidentally creating duplicate commitments. The request ID must be a valid UUID with the exception that zero UUID is not supported (00000000-0000-0000-0000-000000000000). validateOnly: boolean, Optional. Only validate the request, but do not perform mutations. The default is 'false'. x__xgafv: string, V1 error format. diff --git a/docs/dyn/beyondcorp_v1.html b/docs/dyn/beyondcorp_v1.html index 75b3d67705..fe7bf91dec 100644 --- a/docs/dyn/beyondcorp_v1.html +++ b/docs/dyn/beyondcorp_v1.html @@ -84,6 +84,11 @@Instance Methods
Returns the projects Resource.
++
+v()+Returns the v Resource.
+Close httplib2 connections.
diff --git a/docs/dyn/beyondcorp_v1.projects.locations.global_.securityGateways.applications.html b/docs/dyn/beyondcorp_v1.projects.locations.global_.securityGateways.applications.html index 48aaa885a8..418b559cda 100644 --- a/docs/dyn/beyondcorp_v1.projects.locations.global_.securityGateways.applications.html +++ b/docs/dyn/beyondcorp_v1.projects.locations.global_.securityGateways.applications.html @@ -83,6 +83,9 @@Instance Methods
patch(name, body=None, requestId=None, updateMask=None, x__xgafv=None)Updates the parameters of a single Application.
++
+testIamPermissions(resource, body=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()@@ -199,4 +202,34 @@Method Details
}++testIamPermissions(resource, body=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) + body: object, The request body. + The object takes the form of: + +{ # Request message for `TestIamPermissions` method. + "permissions": [ # 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). + "A String", + ], +} + + 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", + ], +}+