Dialogflow API . projects . conversationDatasets

close()

Close httplib2 connections.

get(name, x__xgafv=None)

Retrieves the specified conversation dataset.

Args:
  name: string, Required. The conversation dataset to retrieve. Format: `projects//locations//conversationDatasets/` (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 conversation dataset that a user imports raw data into. The data inside ConversationDataset can not be changed after ImportConversationData finishes (and calling ImportConversationData on a dataset that already has data is not allowed).
  "conversationCount": "A String", # Output only. The number of conversations this conversation dataset contains.
  "conversationInfo": { # Represents metadata of a conversation. # Output only. Metadata set during conversation data import.
    "languageCode": "A String", # Optional. The language code of the conversation data within this dataset. See https://cloud.google.com/apis/design/standard_fields for more information. Supports all UTF-8 languages.
  },
  "createTime": "A String", # Output only. Creation time of this dataset.
  "description": "A String", # Optional. The description of the dataset. Maximum of 10000 bytes.
  "displayName": "A String", # Required. The display name of the dataset. Maximum of 64 bytes.
  "inputConfig": { # Represents the configuration of importing a set of conversation files in Google Cloud Storage. # Output only. Input configurations set during conversation data import.
    "gcsSource": { # Google Cloud Storage location for the inputs. # The Cloud Storage URI has the form gs:////agent*.json. Wildcards are allowed and will be expanded into all matched JSON files, which will be read as one conversation per file.
      "uris": [ # Required. Google Cloud Storage URIs for the inputs. A URI is of the form: `gs://bucket/object-prefix-or-name` Whether a prefix or name is used depends on the use case.
        "A String",
      ],
    },
  },
  "name": "A String", # Output only. ConversationDataset resource name. Format: `projects//locations//conversationDatasets/`
}

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

Import data into the specified conversation dataset. Note that it is not allowed to import data to a conversation dataset that already has data in it. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: ImportConversationDataOperationMetadata - `response`: ImportConversationDataOperationResponse

Args:
  name: string, Required. Dataset resource name. Format: `projects//locations//conversationDatasets/` (required)
  body: object, The request body.
    The object takes the form of:

{ # The request message for ConversationDatasets.ImportConversationData.
  "inputConfig": { # Represents the configuration of importing a set of conversation files in Google Cloud Storage. # Required. Configuration describing where to import data from.
    "gcsSource": { # Google Cloud Storage location for the inputs. # The Cloud Storage URI has the form gs:////agent*.json. Wildcards are allowed and will be expanded into all matched JSON files, which will be read as one conversation per file.
      "uris": [ # Required. Google Cloud Storage URIs for the inputs. A URI is of the form: `gs://bucket/object-prefix-or-name` Whether a prefix or name is used depends on the use case.
        "A String",
      ],
    },
  },
}

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

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}

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

Returns the list of all conversation datasets in the specified project and location.

Args:
  parent: string, Required. The project and location name to list all conversation datasets for. Format: `projects//locations/` (required)
  pageSize: integer, Optional. Maximum number of conversation datasets to return in a single page. By default 100 and at most 1000.
  pageToken: string, Optional. 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 ConversationDatasets.ListConversationDatasets.
  "conversationDatasets": [ # The list of datasets to return.
    { # Represents a conversation dataset that a user imports raw data into. The data inside ConversationDataset can not be changed after ImportConversationData finishes (and calling ImportConversationData on a dataset that already has data is not allowed).
      "conversationCount": "A String", # Output only. The number of conversations this conversation dataset contains.
      "conversationInfo": { # Represents metadata of a conversation. # Output only. Metadata set during conversation data import.
        "languageCode": "A String", # Optional. The language code of the conversation data within this dataset. See https://cloud.google.com/apis/design/standard_fields for more information. Supports all UTF-8 languages.
      },
      "createTime": "A String", # Output only. Creation time of this dataset.
      "description": "A String", # Optional. The description of the dataset. Maximum of 10000 bytes.
      "displayName": "A String", # Required. The display name of the dataset. Maximum of 64 bytes.
      "inputConfig": { # Represents the configuration of importing a set of conversation files in Google Cloud Storage. # Output only. Input configurations set during conversation data import.
        "gcsSource": { # Google Cloud Storage location for the inputs. # The Cloud Storage URI has the form gs:////agent*.json. Wildcards are allowed and will be expanded into all matched JSON files, which will be read as one conversation per file.
          "uris": [ # Required. Google Cloud Storage URIs for the inputs. A URI is of the form: `gs://bucket/object-prefix-or-name` Whether a prefix or name is used depends on the use case.
            "A String",
          ],
        },
      },
      "name": "A String", # Output only. ConversationDataset resource name. Format: `projects//locations//conversationDatasets/`
    },
  ],
  "nextPageToken": "A String", # The token to use to retrieve the next page of results, or empty if there are no more results in the list.
}

list_next()

Retrieves the next page of results.

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

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