Instructor: 00:00 We start by destructuring this get function from the State constructor which, when called, will provide us with a State instance with the state echoed in the resultant. We also bring in this Object named burgers which is just an Object with the property of burgers on it with the value of 4.
00:16 With our players on the field, let's kick this off by first creating a State instance which we'll call getBurgers. We'll define getBurgers to be a State instance that has an Object in both the State and the resultant. To implement, we'll reach for get to echo the State into the resultant and verify our instance by passing getBurgers to this log function.
00:39 As it needs some initial State to run, let's run it with our burgers Object and see what happens. Running our instance gets us back a pair Object Object. We used Pair's snd method to pluck out our State and fst for the resultant, verifying they are equivalent.
00:56 While getting our State's identity is exciting in some circles, I think we could spice it up a bit and have some fun. Let's update our definition so the resultant can vary to any type a. We want to pluck off our burgers value from our State and throw it into the resultant. To do this, we'll bring in a function named prop.
01:15 Prop gives us the value of a given property on an Object wrapped in a Just, but if that property doesn't exist, we get back Nothing. With our State in the resultant, we could reach for map to apply it to our prop function, which we'll partially apply with the string burgers. Give it a save. We see our resultant is now Just 4.
01:36 As is, getBurgers will always return a Maybe of something, so let's wrap our a in a Maybe. When runWith(burgers), we get back a Just. For fun, let's see what would happen if we used tacos as our data instead.
01:50 Before we send it through our State, we first need to bring tacos into scope by destructuring it off of our data Object like we did with burgers. Now we just replace burgers with tacos and see our resultant is Nothing. By pulling the State with snd, we see that it is indeed our 10 tacos.
02:08 For this example, we're really only concerned with the resultant and long hair don't care about the value of the State. For this use case, State provides an evalWith method that will unwrap the resultant, tossing aside the tacos returning our Nothing. Passing burgers to evalWith throws away our burgers, giving us our Just 4.
02:27 Building State accessors like getBurgers is so common that get has a little trick up its sleeve. If we pass it a function instead of unit, get will map over the State and substitute it with the result, removing the additional map. We'll replace burgers with tacos and verify that we still get our Nothing.
02:45 When we originally defined getBurgers, Maybe was never mentioned. In order to unwrap the Maybe, we need to provide a reasonable default for Nothing. We can fold this value out by optioning it with the default value.
02:59 To do this, we can reach for option, which is a point(3) function provided by crocks that takes a default value followed by a Maybe. Option either unwraps a Just returning its value or returns our pointed value in the case of Nothing.
03:14 As our accessor currently gives us a Maybe, we can lift option into our instance using the map method on it, partially applying 0as our default, which in turn unwraps our four burgers for us. Now, when we pass in our tacos, we see that we can never get burgers from tacos, and we get back our default of 0Going back to burgers and then looking at our implementation, we'll notice that prop and option both map over our resultant with option taking the result of our accessor and replacing the Maybe with some type a.
03:46 We should be able to roll our option into get by utilizing function composition. We'll first bring in the compose helper function provided by crocks to build our composition. Compose takes any number of functions and returns us a new function that will pipe our data through each function right to left, returning us the result.
04:05 Even though these functions are specific to this flow, let's see if we can get a little green and make something that can be reused, which we'll call defaultProp. We can define defaultProp as a function that takes a tuple String and any type a followed by an Object, and returns us any type b.
04:51 Now we can use our newly created function in our instance downstairs. We'll get rid of this excessive mapping and replace the function passed to get with a call to defaultProp, calling with a key of burgers and a default of 0When we save this down, we see we get our expected 4. If we run this with tacos, our expected 0is the result.
05:13 Now we have ourselves an accessor that not only matches our definition but also communicates its intent, making future us giggle with glee. We can now use our accessor as the starting point to make our reality a little bit better.
05:27 What if there was a shadow of our world that you could always get tacos from burgers? We can represent this shadow with a State instance we'll call burgersToTacos. We define burgersToTacos as a State instance of Object.
05:41 To implement, we first pull in our accessor. We want an instance that will take our value off of burgers and wrap it in an Object with a key of tacos. We can map over the resultant, passing in a function to do the work for us.
05:56 Crocks provides a function well suited to this task in the form of objOf. ObjOf takes the desired key as its first argument and the value to be wrapped as its second, returning us the resulting Object. Now we just lift the result of applying tacos to objOf into our State instance using map.
06:15 Jump back downstairs and replace getBurgers with burgersToTacos evaluating with tacos, which gets us back 0tacos, as we started with tacos. But if we start with burgers, we see we now get back four tacos, thus defining a reality in which I would love to reside.