Testing & Debugging

Claro has a focus on introspectability and testability, so it offers some built-in ways of achieving both.

Separation of Pure and Impure Logic

As outlined in Basic Resolution, you should use two protocols to implement resolvables:

Resolvable for impure logic, like I/O.
Transform for pure logic, like transformations.

So, instead of writing the following:

(defrecord Person [id]
  data/Resolvable
  (resolve! [_ env]
    (d/future
      (let [{:keys [friend-ids] :as person} (fetch-person! (:db env) id)]
        (-> person
            (assoc :friends (map ->Person friend-ids))
            (dissoc :friend-ids))))))

You should consider:

(defrecord Person [id]
  data/Resolvable
  (resolve! [_ env]
    (d/future
      (fetch-person! (:db env) id)))

  data/Transform
  (transform [_ {:keys [friend-ids] :as person}]
    (-> person
        (assoc :friends (map ->Person friend-ids))
        (dissoc :friend-ids))))

Sure, it's a bit more verbose – but it also allows you to separately test your transformation logic:

(deftest t-person-transform
  (let [result (data/transform (->Person 1) {:id 1, :friend-ids [1 2 3]})]
    (is (= 1 (:id result)))
    (is (every? #(instance? Person %) (:friends result)))
    ...))

Note: While a similar result can surely be achieved by extracting each transformation into a separately testable function, you cannot guarantee that said function is really used by the Resolvable.

Mocks

Another advantage of the approach described in the previous section is the fact that you can easily mock the impure part of your Resolvable using [[wrap-mock]].

For example, to try out a projection on a Person record we could mock the respective query results:

(def run-engine
  (-> (engine/engine)
      (wrap-mock
        Person
        (fn [{:keys [id]} env]
          {:id         id
           :name       "Person"
           :friend-ids [(inc id)]}))))

Which lets us do:

(-> (->Person 1)
    (projection/apply {:friends [{:name projection/leaf}]})
    (run-engine)
    (deref))

Here's the thing: Logic attached using the Transform protocol is still run, so if you want to craft a subtree with certain properties you have to think about what query result conveys these properties. For instance, to produce a person that has an empty :friends key your datastore has to return an empty list of :friend-ids.

Note that there is also [[wrap-mock-result]] which will skip transformations and just return whatever the function produces directly.

Introspection

The namespace [[claro.middleware.observe]] contains multiple middlewares that let you react to processing of single resolvables or resolvable batches, optionally using a predicate or list of classes.

For example, to trace the result of every Person resolution, we could use:

(defn trace-resolution
  [input output]
  (locking *out*
    (prn input '-> output)))

(def run-engine
  (-> (engine/engine)
      (wrap-observe-by-class [Person] trace-resolution)))

This will print a line every time we encounter a person.

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