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 that interact with the `PredictionServiceClient` in the Google Cloud AutoML library."],["The `MockPredictionServiceConnection` class allows developers to simulate responses, including errors, to test their code thoroughly using the Google Test framework."],["The documentation covers various versions of the AutoML library, ranging from 2.11.0 to the latest release candidate 2.37.0-rc, and contains links to each version."],["The mock class utilizes gMock's `MOCK_METHOD()` for its functions like `options()`, `Predict()`, and `BatchPredict()`, which users should refer to gMock documentation for usage."],["The Predict and BatchPredict methods return a `StatusOr` and a `future\u003cStatusOr\u003e` respectively, in order to ensure proper error handling and asynchronicity."]]],[]]
