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 documentation for the `MockPredictionServiceConnection` class, which is designed for testing applications using simulated responses from a `PredictionServiceClient`."],["The latest release candidate version for this class is `2.37.0-rc`, and the page also contains links to prior versions, including every version between `2.11.0` and `2.36.0`, including `2.27.0`, in addition to the latest."],["The `MockPredictionServiceConnection` class uses the Google Test framework and the gMock library, where users can program the behavior of the mock for testing."],["The class includes mock functions for `options()`, `Predict()`, and `BatchPredict()`, allowing users to simulate different behaviors and test their applications with various scenarios."],["An example is provided that shows how to use this mock with GoogleTest, utilizing principles applicable to other `*Client` and `*Connection` pairs, as found in the BigQuery library."]]],[]]
