@functional-things/optics
v1.0.0
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The optics package from @functional-tools.
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@functional-things/optics
Functional optics (lens and prism) utilities for TypeScript.
This package provides functional optics utilities for TypeScript. Specifically, it provides:
- Generic
Lens
,Prism
, andOptic
type. - A function for composing optics,
composeOptics
.
Install
$ npm install --save @functional-things/optics
Usage
In functional programming, optics are pairs of functions used to "focus" in on
parts of nested data structures. One of these pairs of functions "gets" the
nested data, and the other "sets" the nested data. In Functional Things, we
provide three generic types to cover optics: Lens
, Prism
, and Optic
.
Optic
is a sum type that can either be a Lens
or Prism
, so we will only
cover those types.
Lens
A lens is an optic whose "get" operation is guaranteed to return a value. Put another way, a lens can only focus on a part of a data structure that must exist. Lenses are therefore used to focus into data structures that have fixed layouts: things like user metadata, or a street address.
For example, let's look at using lenses to extract the streetname from a user's address. We first need some data:
const userData =
{
name:
{
first: "John",
last: "Doe",
},
address:
{
number: 1234,
streetName: "N Lumbard Way",
city: "Springfield",
province: "Illinois",
country: "USA",
},
};
To create a lens, you create an object with two fields, get
and set
. We'll
create an object of type Lens
that takes our userData
gives us access to
the user's address
.
const address: Lens<typeof userData, typeof userData.address> =
{
get: (userData) => userData.address,
set: (address, userData) =>
({
...userData,
address
}),
}
Notice that we do not mutate
userData
inaddress.set
. Instead, we return a new object withuserData.address
replaced with the new address object.
Now, to extract the street name from the address, we create another lens:
const streetName: Lens<typeof userData.address, string> =
{
get: (address) => address.streetName,
set: (streetName, address) =>
({
...address,
streetName
}),
}
And to get the name of the street in the user's address, we use the lenses like so:
streetName.get(address.get(userData));
And similarly with changing the name of the street:
const updatedUserData =
address.set(
streetName.set(
"S Burwell Way",
address.get(userData)
),
userData
);
This is all pretty long. To shorten it, we can use composeOptics
:
const userStreetName = composeOptics(address, streetName);
const updatedUserData = userStreetName.set("S Burwell Way", userData);
_composeOptics
composes optics from left to right, which means that the first
optic is applied to the data structure first, the second, second, and so on.
Prism
Unlike a lens, a prism's "get" can fail to return a value. This means that, for some reason, the part of the data structure the optic was trying to access could not be found, and it instead returns null. This is useful for data structures with variable layouts, such as sum types or collections.
For example, if we had an array of users:
const users =
[
{
name:
{
first: "John",
last: "Doe",
},
address:
{
number: 1234,
streetName: "N Lumbard Way",
city: "Springfield",
province: "Illinois",
country: "USA",
},
},
];
And we wanted to get the first user in that array, we would create a Prism
like so:
const firstUser: Prism<User[], User> =
{
get: (users) => user[0] ?? null,
set: (user, users) =>
[
user,
...users.slice(1)
]
}
Since user[0]
can be undefined (when the array is empty), we default to null
to indicate that there is no first user.
And to set the first user's address, we can either write out the transformation:
const updatedUsers =
firstUser.set(
address.set(
streetName.set(
"S Burwell Way",
address.get(firstUser.get(users))
),
firstUser.get(users)
),
users
);
Or use composeOptics
:
const firstUserStreetName = composeOptics(firstUser, address, streetName);
const updatedUsers = firstUserStreetName.set("S Burwell Way", users);