Application developers may want to test their code with simulated responses, including errors, from an object of type ConversationDatasetsClient. To do so, construct an object of type ConversationDatasetsClient with an instance of this class. Then use the Google Test framework functions to program the behavior of this mock.
See Also
This example for how to test your application with GoogleTest. While the example showcases types from the BigQuery library, the underlying principles apply for any pair of *Client and *Connection.
Functions
virtual options()
This function is implemented using gMock's MOCK_METHOD().
Consult the gMock documentation to use this mock in your tests.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-14 UTC."],[[["The page provides documentation for the `MockConversationDatasetsConnection` class, which is designed for testing Dialogflow applications using simulated responses."],["The latest release candidate version for this class is 2.37.0-rc, while version 2.13.0 is at the bottom of the list of available version numbers, with many in between."],["This mock class supports several functions including `CreateConversationDataset`, `GetConversationDataset`, `ListConversationDatasets`, `DeleteConversationDataset`, and `ImportConversationData`."],["The class uses gMock to implement its functions, allowing users to program the mock's behavior in their tests."],["An example is given to help developers use this mock within their tests, along with an explanation of the gMock functions."]]],[]]