def get_content(
self,
content_id: "capo_wisdom.types.uuid_or_arn.UuidOrArn",
knowledge_base_id: "capo_wisdom.types.uuid_or_arn.UuidOrArn",
*,
config_overrides: Optional[WisdomClientConfig] = None,
) -> "capo_wisdom.types.get_content_response.GetContentResponse":
"""<p>Retrieves content, including a pre-signed URL to download the content.</p>
Args:
content_id: <p>The identifier of the content. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>
knowledge_base_id: <p>The identifier of the knowledge base. This should not be a QUICK_RESPONSES type knowledge base if you're storing Wisdom Content resource to it. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>
Raises:
capo_wisdom.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_wisdom.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
capo_wisdom.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by a service.</p>
capo_wisdom.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_wisdom.types.get_content_request.GetContentRequest]",
) -> OperationResponse[
"capo_wisdom.types.get_content_response.GetContentResponse"
]:
import capo_wisdom._operations.wisdom_service.get_content
output, http_response = (
capo_wisdom._operations.wisdom_service.get_content.get_content(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
def _redact_output(
output: "capo_wisdom.types.get_content_response.GetContentResponse",
) -> dict[str, Any]:
import capo_wisdom.types.get_content_response
return capo_wisdom.types.get_content_response.redact_sensitive(output)
interceptors_, options_ = self.operation_options(
config_overrides,
OperationLogging("GetContent", redact_output=_redact_output),
)
input_: capo_wisdom.types.get_content_request.GetContentRequest = {
"content_id": content_id,
"knowledge_base_id": knowledge_base_id,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output