calculateIssueModelStats(issueModel, x__xgafv=None)

Gets an issue model's statistics.

Args:
  issueModel: string, Required. The resource name of the issue model to query against. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response of querying an issue model's statistics.
  "currentStats": { # Aggregated statistics about an issue model. # The latest label statistics for the queried issue model. Includes results on both training data and data labeled after deployment.
    "analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
    "issueStats": { # Statistics on each issue. Key is the issue's resource name.
      "a_key": { # Aggregated statistics about an issue.
        "displayName": "A String", # Display name of the issue.
        "issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
        "labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
      },
    },
    "unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
  },
}

close()

Close httplib2 connections.

create(parent, body=None, x__xgafv=None)

Creates an issue model.

Args:
parent: string, Required. The parent resource of the issue model. (required)
body: object, The request body.
The object takes the form of:

{ # The issue model resource.
"createTime": "A String", # Output only. The time at which this issue model was created.
"displayName": "A String", # The representative name for the issue model.
"inputDataConfig": { # Configs for the input data used to create the issue model. # Configs for the input data that used to create the issue model.
"filter": "A String", # A filter to reduce the conversations used for training the model to a specific subset.
"medium": "A String", # Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.
"trainingConversationsCount": "A String", # Output only. Number of conversations used in training. Output only.
},
"name": "A String", # Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
"state": "A String", # Output only. State of the model.
"trainingStats": { # Aggregated statistics about an issue model. # Output only. Immutable. The issue model's label statistics on its training data.
"analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
"issueStats": { # Statistics on each issue. Key is the issue's resource name.
"a_key": { # Aggregated statistics about an issue.
"displayName": "A String", # Display name of the issue.
"issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
"labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
},
},
"unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
},
"updateTime": "A String", # Output only. The most recent time at which the issue model was updated.
}

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 response of the operation in case of success. 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.
},
}

delete(name, x__xgafv=None)

Deletes an issue model.

Args:
name: string, Required. The name of the issue model to delete. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # This resource represents a long-running operation that is the result of a network API call.
"done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
"error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
"response": { # The normal response of the operation in case of success. 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.
},
}

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

Deploys an issue model. Returns an error if a model is already deployed. An issue model can only be used in analysis after it has been deployed.

Args:
name: string, Required. The issue model to deploy. (required)
body: object, The request body.
The object takes the form of:

{ # The request to deploy an issue model.
"name": "A String", # Required. The issue model to deploy.
}

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 response of the operation in case of success. 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.
},
}

get(name, x__xgafv=None)

Gets an issue model.

Args:
  name: string, Required. The name of the issue model to get. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The issue model resource.
  "createTime": "A String", # Output only. The time at which this issue model was created.
  "displayName": "A String", # The representative name for the issue model.
  "inputDataConfig": { # Configs for the input data used to create the issue model. # Configs for the input data that used to create the issue model.
    "filter": "A String", # A filter to reduce the conversations used for training the model to a specific subset.
    "medium": "A String", # Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.
    "trainingConversationsCount": "A String", # Output only. Number of conversations used in training. Output only.
  },
  "name": "A String", # Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
  "state": "A String", # Output only. State of the model.
  "trainingStats": { # Aggregated statistics about an issue model. # Output only. Immutable. The issue model's label statistics on its training data.
    "analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
    "issueStats": { # Statistics on each issue. Key is the issue's resource name.
      "a_key": { # Aggregated statistics about an issue.
        "displayName": "A String", # Display name of the issue.
        "issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
        "labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
      },
    },
    "unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
  },
  "updateTime": "A String", # Output only. The most recent time at which the issue model was updated.
}

list(parent, x__xgafv=None)

Lists issue models.

Args:
  parent: string, Required. The parent resource of the issue model. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response of listing issue models.
  "issueModels": [ # The issue models that match the request.
    { # The issue model resource.
      "createTime": "A String", # Output only. The time at which this issue model was created.
      "displayName": "A String", # The representative name for the issue model.
      "inputDataConfig": { # Configs for the input data used to create the issue model. # Configs for the input data that used to create the issue model.
        "filter": "A String", # A filter to reduce the conversations used for training the model to a specific subset.
        "medium": "A String", # Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.
        "trainingConversationsCount": "A String", # Output only. Number of conversations used in training. Output only.
      },
      "name": "A String", # Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
      "state": "A String", # Output only. State of the model.
      "trainingStats": { # Aggregated statistics about an issue model. # Output only. Immutable. The issue model's label statistics on its training data.
        "analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
        "issueStats": { # Statistics on each issue. Key is the issue's resource name.
          "a_key": { # Aggregated statistics about an issue.
            "displayName": "A String", # Display name of the issue.
            "issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
            "labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
          },
        },
        "unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
      },
      "updateTime": "A String", # Output only. The most recent time at which the issue model was updated.
    },
  ],
}

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

Updates an issue model.

Args:
  name: string, Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model} (required)
  body: object, The request body.
    The object takes the form of:

{ # The issue model resource.
  "createTime": "A String", # Output only. The time at which this issue model was created.
  "displayName": "A String", # The representative name for the issue model.
  "inputDataConfig": { # Configs for the input data used to create the issue model. # Configs for the input data that used to create the issue model.
    "filter": "A String", # A filter to reduce the conversations used for training the model to a specific subset.
    "medium": "A String", # Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.
    "trainingConversationsCount": "A String", # Output only. Number of conversations used in training. Output only.
  },
  "name": "A String", # Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
  "state": "A String", # Output only. State of the model.
  "trainingStats": { # Aggregated statistics about an issue model. # Output only. Immutable. The issue model's label statistics on its training data.
    "analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
    "issueStats": { # Statistics on each issue. Key is the issue's resource name.
      "a_key": { # Aggregated statistics about an issue.
        "displayName": "A String", # Display name of the issue.
        "issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
        "labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
      },
    },
    "unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
  },
  "updateTime": "A String", # Output only. The most recent time at which the issue model was updated.
}

  updateMask: string, The list of fields to be updated.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The issue model resource.
  "createTime": "A String", # Output only. The time at which this issue model was created.
  "displayName": "A String", # The representative name for the issue model.
  "inputDataConfig": { # Configs for the input data used to create the issue model. # Configs for the input data that used to create the issue model.
    "filter": "A String", # A filter to reduce the conversations used for training the model to a specific subset.
    "medium": "A String", # Medium of conversations used in training data. This field is being deprecated. To specify the medium to be used in training a new issue model, set the `medium` field on `filter`.
    "trainingConversationsCount": "A String", # Output only. Number of conversations used in training. Output only.
  },
  "name": "A String", # Immutable. The resource name of the issue model. Format: projects/{project}/locations/{location}/issueModels/{issue_model}
  "state": "A String", # Output only. State of the model.
  "trainingStats": { # Aggregated statistics about an issue model. # Output only. Immutable. The issue model's label statistics on its training data.
    "analyzedConversationsCount": "A String", # Number of conversations the issue model has analyzed at this point in time.
    "issueStats": { # Statistics on each issue. Key is the issue's resource name.
      "a_key": { # Aggregated statistics about an issue.
        "displayName": "A String", # Display name of the issue.
        "issue": "A String", # Issue resource. Format: projects/{project}/locations/{location}/issueModels/{issue_model}/issues/{issue}
        "labeledConversationsCount": "A String", # Number of conversations attached to the issue at this point in time.
      },
    },
    "unclassifiedConversationsCount": "A String", # Number of analyzed conversations for which no issue was applicable at this point in time.
  },
  "updateTime": "A String", # Output only. The most recent time at which the issue model was updated.
}

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

Undeploys an issue model. An issue model can not be used in analysis after it has been undeployed.

Args:
name: string, Required. The issue model to undeploy. (required)
body: object, The request body.
The object takes the form of:

{ # The request to undeploy an issue model.
"name": "A String", # Required. The issue model to undeploy.
}

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 response of the operation in case of success. 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.
},
}

Contact Center AI Insights API . projects . locations . issueModels

Instance Methods

Method Details