When testing multiple functions with similar signatures and return values, it's tedious to write individual tests for each function. In Go, reflection can provide a solution to test these functions collectively.
Consider a set of functions (Func1, Func2, ...) with the following signature:
func YourFunction() (int, error)
Goal: Write a test that iterates through this set of functions, calls each one, and tests their return values for specific conditions.
Reflection allows us to access and manipulate values and functions at runtime. By creating a reflect.Value object for the receiver, we can find the corresponding function and call it using reflect.Value.MethodByName. The returned value can then be examined for correctness.
Here's an example test that utilizes reflection to test all the functions with the specified interface:
<code class="go">func TestFunc(t *testing.T) { var funcNames = []string{"Func1", "Func2", "Func3"} stype := reflect.ValueOf(s) // receiver for _, fname := range funcNames { sfunc := stype.MethodByName(fname) ret := sfunc.Call([]reflect.Value{}) val := ret[0].Int() err := ret[1] if val < 1 { t.Error(fname + " should return positive value") } if !err.IsNil() { // checks for a nil error t.Error(fname + " shouldn't err") } } }</code>
Keep in mind that calling a non-existent function using reflection will cause a panic. To handle this, we can use deferred functions and recover to catch the panic and provide more informative error messages.
By utilizing reflection and handling exceptions appropriately, we can create a single test that efficiently tests multiple functions with similar behavior, reducing the need for repetitive test code and ensuring the robustness of our tests.
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