Dialogflow API . projects . locations . agents . flows . versions

close()

Close httplib2 connections.

compareVersions(baseVersion, body=None, x__xgafv=None)

Compares the specified base version with target version.

Args:
  baseVersion: string, Required. Name of the base flow version to compare with the target version. Use version ID `0` to indicate the draft version of the specified flow. Format: `projects//locations//agents/ /flows//versions/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # The request message for Versions.CompareVersions.
  "languageCode": "A String", # The language to compare the flow versions for. If not specified, the agent's default language is used. [Many languages](https://cloud.google.com/dialogflow/docs/reference/language) are supported. Note: languages must be enabled in the agent before they can be used.
  "targetVersion": "A String", # Required. Name of the target flow version to compare with the base version. Use version ID `0` to indicate the draft version of the specified flow. Format: `projects//locations//agents//flows//versions/`.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response message for Versions.CompareVersions.
  "baseVersionContentJson": "A String", # JSON representation of the base version content.
  "compareTime": "A String", # The timestamp when the two version compares.
  "targetVersionContentJson": "A String", # JSON representation of the target version content.
}

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

Creates a Version in the specified Flow. This method is a [long-running operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). The returned `Operation` type has the following method-specific fields: - `metadata`: CreateVersionOperationMetadata - `response`: Version

Args:
  parent: string, Required. The Flow to create an Version for. Format: `projects//locations//agents//flows/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # Represents a version of a flow.
  "createTime": "A String", # Output only. Create time of the version.
  "description": "A String", # The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
  "displayName": "A String", # Required. The human-readable name of the version. Limit of 64 characters.
  "name": "A String", # Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation.
  "nluSettings": { # Settings related to NLU. # Output only. The NLU settings of the flow at version creation.
    "classificationThreshold": 3.14, # To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
    "modelTrainingMode": "A String", # Indicates NLU model training mode.
    "modelType": "A String", # Indicates the type of NLU model.
  },
  "state": "A String", # Output only. The state of this version. This field is read-only and cannot be set by create and update methods.
}

  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 the specified Version.

Args:
  name: string, Required. The name of the Version to delete. Format: `projects//locations//agents//flows//versions/`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
}

get(name, x__xgafv=None)

Retrieves the specified Version.

Args:
  name: string, Required. The name of the Version. Format: `projects//locations//agents//flows//versions/`. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Represents a version of a flow.
  "createTime": "A String", # Output only. Create time of the version.
  "description": "A String", # The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
  "displayName": "A String", # Required. The human-readable name of the version. Limit of 64 characters.
  "name": "A String", # Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation.
  "nluSettings": { # Settings related to NLU. # Output only. The NLU settings of the flow at version creation.
    "classificationThreshold": 3.14, # To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
    "modelTrainingMode": "A String", # Indicates NLU model training mode.
    "modelType": "A String", # Indicates the type of NLU model.
  },
  "state": "A String", # Output only. The state of this version. This field is read-only and cannot be set by create and update methods.
}

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

Returns the list of all versions in the specified Flow.

Args:
  parent: string, Required. The Flow to list all versions for. Format: `projects//locations//agents//flows/`. (required)
  pageSize: integer, The maximum number of items to return in a single page. By default 20 and at most 100.
  pageToken: string, The next_page_token value returned from a previous list request.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The response message for Versions.ListVersions.
  "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
  "versions": [ # A list of versions. There will be a maximum number of items returned based on the page_size field in the request. The list may in some cases be empty or contain fewer entries than page_size even if this isn't the last page.
    { # Represents a version of a flow.
      "createTime": "A String", # Output only. Create time of the version.
      "description": "A String", # The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
      "displayName": "A String", # Required. The human-readable name of the version. Limit of 64 characters.
      "name": "A String", # Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation.
      "nluSettings": { # Settings related to NLU. # Output only. The NLU settings of the flow at version creation.
        "classificationThreshold": 3.14, # To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
        "modelTrainingMode": "A String", # Indicates NLU model training mode.
        "modelType": "A String", # Indicates the type of NLU model.
      },
      "state": "A String", # Output only. The state of this version. This field is read-only and cannot be set by create and update methods.
    },
  ],
}

list_next(previous_request, previous_response)

Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.
    

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

Loads resources in the specified version to the draft flow. This method is a [long-running operation](https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation). The returned `Operation` type has the following method-specific fields: - `metadata`: An empty [Struct message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct) - `response`: An [Empty message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)

Args:
  name: string, Required. The Version to be loaded to draft flow. Format: `projects//locations//agents//flows//versions/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # The request message for Versions.LoadVersion.
  "allowOverrideAgentResources": True or False, # This field is used to prevent accidental overwrite of other agent resources, which can potentially impact other flow's behavior. If `allow_override_agent_resources` is false, conflicted agent-level resources will not be overridden (i.e. intents, entities, webhooks).
}

  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.
  },
}

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

Updates the specified Version.

Args:
  name: string, Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation. (required)
  body: object, The request body.
    The object takes the form of:

{ # Represents a version of a flow.
  "createTime": "A String", # Output only. Create time of the version.
  "description": "A String", # The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
  "displayName": "A String", # Required. The human-readable name of the version. Limit of 64 characters.
  "name": "A String", # Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation.
  "nluSettings": { # Settings related to NLU. # Output only. The NLU settings of the flow at version creation.
    "classificationThreshold": 3.14, # To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
    "modelTrainingMode": "A String", # Indicates NLU model training mode.
    "modelType": "A String", # Indicates the type of NLU model.
  },
  "state": "A String", # Output only. The state of this version. This field is read-only and cannot be set by create and update methods.
}

  updateMask: string, Required. The mask to control which fields get updated. Currently only `description` and `display_name` can be updated.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Represents a version of a flow.
  "createTime": "A String", # Output only. Create time of the version.
  "description": "A String", # The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
  "displayName": "A String", # Required. The human-readable name of the version. Limit of 64 characters.
  "name": "A String", # Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow upon version creation.
  "nluSettings": { # Settings related to NLU. # Output only. The NLU settings of the flow at version creation.
    "classificationThreshold": 3.14, # To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
    "modelTrainingMode": "A String", # Indicates NLU model training mode.
    "modelType": "A String", # Indicates the type of NLU model.
  },
  "state": "A String", # Output only. The state of this version. This field is read-only and cannot be set by create and update methods.
}