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    Test the interaction between streams

    Shane OsbourneShane Osbourne
    redux-observableredux-observable

    Rx is all about composition - using one stream to start another, using streams as triggers to cancel others, merging them, concatenating them… the list is endless. It’s important that we’re able to verify the interaction of streams within our tests.

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    Transcript

    Transcript

    Instructor: This application has a test for the success case, where a search action triggers an Ajax request, which stopped the response here. We assert that we first get into a pending state, and then eventually, we get a fetchFulfilled action. That would be this event firing, eventually making an Ajax request, and this action being produced.

    The second test handles the error case, where the Ajax request doesn't return any values, but rather it produces an error. That handles this case, so we can ensure that we're returning the correct action should an error occur.

    The way this feature works is that the Ajax request is going to race against what we've called blockers, meaning someone clicked cancel, or they pressed an escape key. If the Ajax request is in flight, and someone clicks cancel, it means this produces a value first.

    The Ajax request will be unsubscribed, and it's the reset event that ends up being dispatched into the Redux store. How can we write a test for that? We'll start by copy-pasting again, and we'll rename this one to be the reset state.

    We get three past, because we haven't changed it yet. Now, we need to model what's going to happen with the actions. First, we're going to have an element produced on the first frame, which is the search action.

    Then we're going to wait 500 milliseconds, and then after another frame, we're going to produce a second value. We'll use the action creator, cancel. This is going to simulate a user clicking cancel before the Ajax request has come back.

    The state will remain the same, and for the Ajax request, we can just say that after three frames, it produces a value. It doesn't matter what the value is for this test, so we won't bother stopping it. Now, what do we expect to happen if this cancel event comes just one frame after that 500 milliseconds?

    We would expect setStatus to still be pending first, but then we would expect to see a reset event. Again, we can import that from our action creators. Now, we see an error. The error is not actually with our code, it's just the way we've written this.

    You can see that the second element there is expected to be on frame 501, but it actually came on frame 502. That's because we've put this extra frame in here. We need to denote that in our expectation. We put that in, the test passes.

    That enables us to test a very complicated flow. We can verify it's working by going back in here and for example, we forget to add the blockers here. That test is going to fail. Or if we don't map it to the correct reset value -- let's say we mapped it to a cancellation by mistake -- then the test is going to fail.

    To recap what we've done here, we're using the marble diagrams to describe what the action stream looks like. It first produces a value, a, which is the search string. That causes this to kick off. Then we wait 500 milliseconds. That allows the debounce to elapse.

    After that, we say that one frame later, we produce another value being canceled. This is the equivalent of this producing an element. Then we're asserting that our epic produces values. After 500 milliseconds, it should produce an a, which is a setStatus pending, which is this.

    Then after one frame, which is the duration we've put here, it should produce a value, b, which we're saying should be a reset action. Which comes right back here, because now blockers is going to win this race. It should produce a value from here, and it's mapped to a reset that we have here.