Documentation ¶
Overview ¶
Package dlmiface provides an interface to enable mocking the Amazon Data Lifecycle Manager service client for testing your code.
It is important to note that this interface will have breaking changes when the service model is updated and adds new API operations, paginators, and waiters.
Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type DLMAPI ¶
type DLMAPI interface { CreateLifecyclePolicyRequest(*dlm.CreateLifecyclePolicyInput) dlm.CreateLifecyclePolicyRequest DeleteLifecyclePolicyRequest(*dlm.DeleteLifecyclePolicyInput) dlm.DeleteLifecyclePolicyRequest GetLifecyclePoliciesRequest(*dlm.GetLifecyclePoliciesInput) dlm.GetLifecyclePoliciesRequest GetLifecyclePolicyRequest(*dlm.GetLifecyclePolicyInput) dlm.GetLifecyclePolicyRequest UpdateLifecyclePolicyRequest(*dlm.UpdateLifecyclePolicyInput) dlm.UpdateLifecyclePolicyRequest }
DLMAPI provides an interface to enable mocking the dlm.DLM service client's API operation, paginators, and waiters. This make unit testing your code that calls out to the SDK's service client's calls easier.
The best way to use this interface is so the SDK's service client's calls can be stubbed out for unit testing your code with the SDK without needing to inject custom request handlers into the SDK's request pipeline.
// myFunc uses an SDK service client to make a request to // Amazon Data Lifecycle Manager. func myFunc(svc dlmiface.DLMAPI) bool { // Make svc.CreateLifecyclePolicy request } func main() { cfg, err := external.LoadDefaultAWSConfig() if err != nil { panic("failed to load config, " + err.Error()) } svc := dlm.New(cfg) myFunc(svc) }
In your _test.go file:
// Define a mock struct to be used in your unit tests of myFunc. type mockDLMClient struct { dlmiface.DLMAPI } func (m *mockDLMClient) CreateLifecyclePolicy(input *dlm.CreateLifecyclePolicyInput) (*dlm.CreateLifecyclePolicyOutput, error) { // mock response/functionality } func TestMyFunc(t *testing.T) { // Setup Test mockSvc := &mockDLMClient{} myfunc(mockSvc) // Verify myFunc's functionality }
It is important to note that this interface will have breaking changes when the service model is updated and adds new API operations, paginators, and waiters. Its suggested to use the pattern above for testing, or using tooling to generate mocks to satisfy the interfaces.