dfp 0.2.1 dfp: ^0.2.1 copied to clipboard
A library for typed functional programming in Dart, inspired by Rust.
dfp #
dfp
is a library for typed functional programming in Dart, inspired by Rust.
Result #
Result is a type that represents either success (Ok
) or failure (Err
).
For example, you can use Result with dio
:
import 'package:dfp/dfp.dart';
...
Future<Result<User, String>> fetchUser() async {
final response =
await asyncTryCatch<Response<Map<String, dynamic>>, DioError>(
dio.get(Urls.account),
);
return response
.map((r) => UserDto.fromJson(r.data!))
.map((value) => value.toModel())
.mapErr((error) {
if (error.response?.statusCode == 401) return 'Unauthorized error';
return 'Another error';
});
}
In this case, we have converted the successful response to a DTO model, and then we have converted it to a domain model. Also we have converted the error value (if we got it) from DioError to String.
We can use the result value with the provided methods, such as ifOkElse:
// somewhere in BLoC
fetchUser: (_) async {
emit(UserState.loading());
final result = await fetchUser();
result.ifOkElse((user) {
emit(UserState.loaded(user));
}, (error) {
emit(UserState.error(error));
});
},
If we don't care about the error, we can use the result.ok
value, which also provides many useful methods. For example:
Future<Option<User>> fetchUser() async {
final response =
await asyncTryCatch<Response<Map<String, dynamic>>, DioError>(
_httpClient.get(Urls.account),
);
return response
.map((r) => UserDto.fromJson(r.data!))
.map((value) => value.toModel())
.ok;
}
...
// somewhere in BLoC
fetchUser: (_) async {
emit(UserState.loading());
final result = await fetchUser();
result.ifSomeElse((user) {
emit(UserState.loaded(user));
}, () {
emit(UserState.error());
});
},
Instead of result.ifOkElse
we can use result.ifOk
, result.ifErr
or result.when
:
result.ifOk((user) {
emit(UserState.loaded(user));
})
...
result.ifErr(error) {
emit(UserState.error(error));
});
...
result.when(
ok: (user) => emit(UserState.loaded(user)),
err: (error) => emit(UserState.error(error)),
);
Option #
Option<A>
is a container for an optional value of type A
. If the value of type A
is present, the Option<A>
is an instance of Some<A>
, containing the present value of type A
. If the value is absent, the Option<A>
is an instance of None
.
An option could be looked at as a collection or foldable structure with either one or zero elements.
Another way to look at Option
is: it represents the effect of a possibly failing computation.
The Option
class also provides a number of useful methods such as map
, ifSome
, ifNone
, ifSomeElse
, and whe
n. These methods work in the same way as the map
, ..., when
methods of the Result
.
You can create an Option
object from a nullable value using the Option.fromNullable
constructor or the fromNullable
function, like this:
final str = Option.fromNullable(stdin.readLineSync());
final number = Option.flatten(
str.map((value) => Option.fromNullable(double.tryParse(value))),
);
final fixed = number
.map(sin)
.map((value) => value * 2)
.map((value) => value.abs().toStringAsFixed(2));
print(fixed.toNullable());
toNullable
method conversely allows you to turn an Option object into a value of the nullable type.
You can convert an Option
to a Result
using the okOr
method:
final n = Option.fromNullable(double.tryParse('value'));
final result = n.okOr('Not a number'); // Result<double, String>
Or you can get the contained Option
value using the getOrElse
method. It returns the contained Some
value or a provided fallback for None
:
final n = Option.fromNullable(double.tryParse('value'));
print(sin(n.getOrElse(0)));
functions #
dft
also provides several functions that can be used to get Option
and Result
objects:
final value = 5;
final even = option(value.isEven, value);
final nullable = fromNullable(double.tryParse('value'));
final number =
tryCatch<double, FormatException>(() => double.parse('source'));
final result = asyncTryCatch<Response<Map<String, dynamic>>, DioError>(
dio.get(Urls.account));