API documentation for dialogflow_v2.services.conversation_models.pagers
module.
Classes
ListConversationModelEvaluationsAsyncPager
ListConversationModelEvaluationsAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsResponse
],
],
request: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsRequest,
response: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_conversation_model_evaluations
requests.
This class thinly wraps an initial
ListConversationModelEvaluationsResponse object, and
provides an __aiter__
method to iterate through its
conversation_model_evaluations
field.
If there are more pages, the __aiter__
method will make additional
ListConversationModelEvaluations
requests and continue to iterate
through the conversation_model_evaluations
field on the
corresponding responses.
All the usual ListConversationModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListConversationModelEvaluationsPager
ListConversationModelEvaluationsPager(
method: Callable[
[...],
google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsResponse,
],
request: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsRequest,
response: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelEvaluationsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_conversation_model_evaluations
requests.
This class thinly wraps an initial
ListConversationModelEvaluationsResponse object, and
provides an __iter__
method to iterate through its
conversation_model_evaluations
field.
If there are more pages, the __iter__
method will make additional
ListConversationModelEvaluations
requests and continue to iterate
through the conversation_model_evaluations
field on the
corresponding responses.
All the usual ListConversationModelEvaluationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListConversationModelsAsyncPager
ListConversationModelsAsyncPager(
method: Callable[
[...],
Awaitable[
google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsResponse
],
],
request: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsRequest,
response: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_conversation_models
requests.
This class thinly wraps an initial
ListConversationModelsResponse object, and
provides an __aiter__
method to iterate through its
conversation_models
field.
If there are more pages, the __aiter__
method will make additional
ListConversationModels
requests and continue to iterate
through the conversation_models
field on the
corresponding responses.
All the usual ListConversationModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.
ListConversationModelsPager
ListConversationModelsPager(
method: Callable[
[...],
google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsResponse,
],
request: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsRequest,
response: google.cloud.dialogflow_v2.types.conversation_model.ListConversationModelsResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()
)
A pager for iterating through list_conversation_models
requests.
This class thinly wraps an initial
ListConversationModelsResponse object, and
provides an __iter__
method to iterate through its
conversation_models
field.
If there are more pages, the __iter__
method will make additional
ListConversationModels
requests and continue to iterate
through the conversation_models
field on the
corresponding responses.
All the usual ListConversationModelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.