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 to simulate responses from the `PredictionServiceClient` for testing purposes."],["The latest version available is `2.37.0-rc`, but there are many previous versions from `2.36.0` down to `2.11.0` also available for use."],["The `MockPredictionServiceConnection` class utilizes the gMock framework's `MOCK_METHOD()` for implementing its functions, such as `options()`, `Predict()`, and `BatchPredict()`."],["The `Predict()` and `BatchPredict()` functions allows users to program specific behaviors and responses for testing with `google::cloud::automl::v1::PredictRequest` and `google::longrunning::Operation`."],["An example is given using the BigQuery library, demonstrating how to test an application using the `*Client` and `*Connection` pairing with Google Test."]]],[]]
