Application developers may want to test their code with simulated responses, including errors, from an object of type PredictionServiceClient. To do so, construct an object of type PredictionServiceClient 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 2025-03-21 UTC."],[[["This page provides documentation for the `MockPredictionServiceConnection` class, which is designed for testing applications using simulated responses."],["The class is part of the Google Cloud AutoML C++ library, with versions ranging from 2.11.0 to 2.37.0-rc, accessible via links to specific documentation."],["`MockPredictionServiceConnection` enables testing with `PredictionServiceClient` by mocking responses and behaviors, potentially including errors, and can be used with the Google Test framework."],["The `MockPredictionServiceConnection` class includes functions such as `options()`, `Predict()`, and `BatchPredict()`, all implemented using gMock's `MOCK_METHOD()` and documented within."],["An example is provided to illustrate how to use the mock class in application tests, by using the BigQuery library, with the fundamental principles applicable across various `*Client` and `*Connection` pairs."]]],[]]
