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 2025-04-09 UTC."],[[["This webpage provides documentation for the `MockPredictionServiceConnection` class, which is designed for testing applications that interact with the `PredictionServiceClient`."],["The `MockPredictionServiceConnection` class allows developers to simulate responses, including errors, to test their code's behavior when interacting with a `PredictionServiceClient`."],["The page includes a list of available versions for the mock class, ranging from version 2.11.0 to the latest release candidate 2.37.0-rc, which are accessible via links to their respective documentation."],["The class utilizes gMock's `MOCK_METHOD()` to implement functions like `options()` and `Predict()`, allowing for customizable mock behaviors during testing."],["A link to a BigQuery library example is given to help demonstrate how the mock class can be used with GoogleTest."]]],[]]
