Application developers may want to test their code with simulated responses, including errors, from an object of type ConversationModelsClient. To do so, construct an object of type ConversationModelsClient 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 2025-05-09 UTC."],[[["This page details the `MockConversationModelsConnection` class, which is designed to facilitate testing of code interacting with `ConversationModelsClient` by simulating responses and potential errors."],["The class utilizes gMock's `MOCK_METHOD()` to implement its functions, providing a framework for users to program the behavior of the mock in tests."],["The `MockConversationModelsConnection` supports a variety of operations, including creating, retrieving, listing, deleting, deploying, and undeploying conversation models, as well as managing evaluations."],["The webpage lists multiple versions of this implementation, ranging from version 2.11.0 to the latest release candidate, version 2.37.0-rc, allowing users to navigate the different versions easily."],["Testing techniques with this mock class are applicable to any type of `*Client` and `*Connection`, and not only for the DialogflowES API."]]],[]]
