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 webpage provides access to various versions of the `MockPredictionServiceConnection` class, with version 2.37.0-rc being the latest."],["The `MockPredictionServiceConnection` class allows developers to test their `PredictionServiceClient` code with simulated responses and errors."],["The class uses gMock's `MOCK_METHOD()` for functions like `options()` and `Predict()`, allowing test behavior programming through the Google Test framework."],["The webpage includes a reference example demonstrating testing principles using GoogleTest, although specifically from the BigQuery library, and how it also applies to `*Client` and `*Connection` pairs."],["The functions `options()` and `Predict()`, allow the ability to manipulate the returned values in order to have full control of the test environment."]]],[]]