Application developers may want to test their code with simulated responses, including errors, from an object of type ModelServiceClient. To do so, construct an object of type ModelServiceClient 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 2025-04-17 UTC."],[[["This webpage provides documentation for the `MockModelServiceConnection` class, which is designed to simulate responses, including errors, for testing purposes in `ModelServiceClient` applications."],["The `MockModelServiceConnection` class allows developers to program the behavior of the mock using the Google Test framework and gMock's `MOCK_METHOD()`, which is used to implement its numerous virtual functions, including ones such as `options()`, `UploadModel()`, and `GetModel()`."],["The documentation lists multiple versions of the aiplatform, ranging from 2.12.0 to 2.37.0-rc, each with a link to its respective documentation for `MockModelServiceConnection`, and also the example to test your application with GoogleTest."],["This class supports various operations related to models, such as uploading, retrieving, listing, updating, deleting, exporting, copying, importing model evaluations and much more."]]],[]]
