KnowledgeBasesAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.dialogflow_v2.services.knowledge_bases.transports.base.KnowledgeBasesTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service for managing KnowledgeBases.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
KnowledgeBasesTransport | The transport used by the client instance. |
Methods
KnowledgeBasesAsyncClient
KnowledgeBasesAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.dialogflow_v2.services.knowledge_bases.transports.base.KnowledgeBasesTransport] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the knowledge bases client.
Parameters | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str,
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
common_billing_account_path
common_billing_account_path(billing_account: str) -> str
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> str
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> str
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> str
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> str
Returns a fully-qualified project string.
create_knowledge_base
create_knowledge_base(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.knowledge_base.CreateKnowledgeBaseRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
knowledge_base: typing.Optional[
google.cloud.dialogflow_v2.types.knowledge_base.KnowledgeBase
] = None,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2.types.knowledge_base.KnowledgeBase
Creates a knowledge base.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2
async def sample_create_knowledge_base():
# Create a client
client = dialogflow_v2.KnowledgeBasesAsyncClient()
# Initialize request argument(s)
knowledge_base = dialogflow_v2.KnowledgeBase()
knowledge_base.display_name = "display_name_value"
request = dialogflow_v2.CreateKnowledgeBaseRequest(
parent="parent_value",
knowledge_base=knowledge_base,
)
# Make the request
response = await client.create_knowledge_base(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dialogflow_v2.types.CreateKnowledgeBaseRequest, dict]]
The request object. Request message for KnowledgeBases.CreateKnowledgeBase. |
parent |
Required. The project to create a knowledge base for. Format: |
knowledge_base |
KnowledgeBase
Required. The knowledge base to create. This corresponds to the |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.KnowledgeBase | A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases. |
delete_knowledge_base
delete_knowledge_base(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.knowledge_base.DeleteKnowledgeBaseRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None
Deletes the specified knowledge base.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2
async def sample_delete_knowledge_base():
# Create a client
client = dialogflow_v2.KnowledgeBasesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.DeleteKnowledgeBaseRequest(
name="name_value",
)
# Make the request
await client.delete_knowledge_base(request=request)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dialogflow_v2.types.DeleteKnowledgeBaseRequest, dict]]
The request object. Request message for KnowledgeBases.DeleteKnowledgeBase. |
name |
Required. The name of the knowledge base to delete. Format: |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
KnowledgeBasesAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
KnowledgeBasesAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
KnowledgeBasesAsyncClient | The constructed client. |
get_knowledge_base
get_knowledge_base(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.knowledge_base.GetKnowledgeBaseRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2.types.knowledge_base.KnowledgeBase
Retrieves the specified knowledge base.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2
async def sample_get_knowledge_base():
# Create a client
client = dialogflow_v2.KnowledgeBasesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.GetKnowledgeBaseRequest(
name="name_value",
)
# Make the request
response = await client.get_knowledge_base(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dialogflow_v2.types.GetKnowledgeBaseRequest, dict]]
The request object. Request message for KnowledgeBases.GetKnowledgeBase. |
name |
Required. The name of the knowledge base to retrieve. Format |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.KnowledgeBase | A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases. |
get_location
get_location(
request: typing.Optional[
google.cloud.location.locations_pb2.GetLocationRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location
Gets information about a location.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| An Operation object. |
get_transport_class
get_transport_class() -> (
typing.Type[
google.cloud.dialogflow_v2.services.knowledge_bases.transports.base.KnowledgeBasesTransport
]
)
Returns an appropriate transport class.
Parameter | |
---|---|
Name | Description |
label |
typing.Optional[str]
The name of the desired transport. If none is provided, then the first transport in the registry is used. |
knowledge_base_path
knowledge_base_path(project: str, knowledge_base: str) -> str
Returns a fully-qualified knowledge_base string.
list_knowledge_bases
list_knowledge_bases(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.knowledge_base.ListKnowledgeBasesRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
google.cloud.dialogflow_v2.services.knowledge_bases.pagers.ListKnowledgeBasesAsyncPager
)
Returns the list of all knowledge bases of the specified agent.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2
async def sample_list_knowledge_bases():
# Create a client
client = dialogflow_v2.KnowledgeBasesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.ListKnowledgeBasesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_knowledge_bases(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dialogflow_v2.types.ListKnowledgeBasesRequest, dict]]
The request object. Request message for KnowledgeBases.ListKnowledgeBases. |
parent |
Required. The project to list of knowledge bases for. Format: |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.services.knowledge_bases.pagers.ListKnowledgeBasesAsyncPager | Response message for KnowledgeBases.ListKnowledgeBases. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(
request: typing.Optional[
google.cloud.location.locations_pb2.ListLocationsRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse
Lists information about the supported locations for this service.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Response message for ListLocations method. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Response message for ListOperations method. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]
Parse a project path into its component segments.
parse_knowledge_base_path
parse_knowledge_base_path(path: str) -> typing.Dict[str, str]
Parses a knowledge_base path into its component segments.
update_knowledge_base
update_knowledge_base(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.knowledge_base.UpdateKnowledgeBaseRequest,
dict,
]
] = None,
*,
knowledge_base: typing.Optional[
google.cloud.dialogflow_v2.types.knowledge_base.KnowledgeBase
] = None,
update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
retry: typing.Union[
google.api_core.retry_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2.types.knowledge_base.KnowledgeBase
Updates the specified knowledge base.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2
async def sample_update_knowledge_base():
# Create a client
client = dialogflow_v2.KnowledgeBasesAsyncClient()
# Initialize request argument(s)
knowledge_base = dialogflow_v2.KnowledgeBase()
knowledge_base.display_name = "display_name_value"
request = dialogflow_v2.UpdateKnowledgeBaseRequest(
knowledge_base=knowledge_base,
)
# Make the request
response = await client.update_knowledge_base(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.dialogflow_v2.types.UpdateKnowledgeBaseRequest, dict]]
The request object. Request message for KnowledgeBases.UpdateKnowledgeBase. |
knowledge_base |
KnowledgeBase
Required. The knowledge base to update. This corresponds to the |
update_mask |
Optional. Not specified means |
retry |
google.api_core.retry_async.AsyncRetry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.KnowledgeBase | A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases. |