Bloc Concepts
این محتوا هنوز به زبان شما در دسترس نیست.
There are several core concepts that are critical to understanding how to use the bloc package.
In the upcoming sections, we’re going to discuss each of them in detail as well as work through how they would apply to a counter app.
A stream is a sequence of asynchronous data.
In order to use the bloc library, it is critical to have a basic understanding of Streams
and how they work.
If you’re unfamiliar with Streams
just think of a pipe with water flowing through it. The pipe is the Stream
and the water is the asynchronous data.
We can create a Stream
in Dart by writing an async*
(async generator) function.
By marking a function as async*
we are able to use the yield
keyword and return a Stream
of data. In the above example, we are returning a Stream
of integers up to the max
integer parameter.
Every time we yield
in an async*
function we are pushing that piece of data through the Stream
.
We can consume the above Stream
in several ways. If we wanted to write a function to return the sum of a Stream
of integers it could look something like:
By marking the above function as async
we are able to use the await
keyword and return a Future
of integers. In this example, we are awaiting each value in the stream and returning the sum of all integers in the stream.
We can put it all together like so:
Now that we have a basic understanding of how Streams
work in Dart we’re ready to learn about the core component of the bloc package: a Cubit
.
A Cubit
is a class which extends BlocBase
and can be extended to manage any type of state.
A Cubit
can expose functions which can be invoked to trigger state changes.
States are the output of a Cubit
and represent a part of your application’s state. UI components can be notified of states and redraw portions of themselves based on the current state.
We can create a CounterCubit
like:
When creating a Cubit
, we need to define the type of state which the Cubit
will be managing. In the case of the CounterCubit
above, the state can be represented via an int
but in more complex cases it might be necessary to use a class
instead of a primitive type.
The second thing we need to do when creating a Cubit
is specify the initial state. We can do this by calling super
with the value of the initial state. In the snippet above, we are setting the initial state to 0
internally but we can also allow the Cubit
to be more flexible by accepting an external value:
This would allow us to instantiate CounterCubit
instances with different initial states like:
Each Cubit
has the ability to output a new state via emit
.
In the above snippet, the CounterCubit
is exposing a public method called increment
which can be called externally to notify the CounterCubit
to increment its state. When increment
is called, we can access the current state of the Cubit
via the state
getter and emit
a new state by adding 1 to the current state.
We can now take the CounterCubit
we’ve implemented and put it to use!
In the above snippet, we start by creating an instance of the CounterCubit
. We then print the current state of the cubit which is the initial state (since no new states have been emitted yet). Next, we call the increment
function to trigger a state change. Finally, we print the state of the Cubit
again which went from 0
to 1
and call close
on the Cubit
to close the internal state stream.
Cubit
exposes a Stream
which allows us to receive real-time state updates:
In the above snippet, we are subscribing to the CounterCubit
and calling print on each state change. We are then invoking the increment
function which will emit a new state. Lastly, we are calling cancel
on the subscription
when we no longer want to receive updates and closing the Cubit
.
When a Cubit
emits a new state, a Change
occurs. We can observe all changes for a given Cubit
by overriding onChange
.
We can then interact with the Cubit
and observe all changes output to the console.
The above example would output:
One added bonus of using the bloc library is that we can have access to all Changes
in one place. Even though in this application we only have one Cubit
, it’s fairly common in larger applications to have many Cubits
managing different parts of the application’s state.
If we want to be able to do something in response to all Changes
we can simply create our own BlocObserver
.
In order to use the SimpleBlocObserver
, we just need to tweak the main
function:
The above snippet would then output:
Every Cubit
has an addError
method which can be used to indicate that an error has occurred.
onError
can also be overridden in BlocObserver
to handle all reported errors globally.
If we run the same program again we should see the following output:
A Bloc
is a more advanced class which relies on events
to trigger state
changes rather than functions. Bloc
also extends BlocBase
which means it has a similar public API as Cubit
. However, rather than calling a function
on a Bloc
and directly emitting a new state
, Blocs
receive events
and convert the incoming events
into outgoing states
.
Creating a Bloc
is similar to creating a Cubit
except in addition to defining the state that we’ll be managing, we must also define the event that the Bloc
will be able to process.
Events are the input to a Bloc. They are commonly added in response to user interactions such as button presses or lifecycle events like page loads.
Just like when creating the CounterCubit
, we must specify an initial state by passing it to the superclass via super
.
Bloc
requires us to register event handlers via the on<Event>
API, as opposed to functions in Cubit
. An event handler is responsible for converting any incoming events into zero or more outgoing states.
We can then update the EventHandler
to handle the CounterIncrementPressed
event:
In the above snippet, we have registered an EventHandler
to manage all CounterIncrementPressed
events. For each incoming CounterIncrementPressed
event we can access the current state of the bloc via the state
getter and emit(state + 1)
.
At this point, we can create an instance of our CounterBloc
and put it to use!
In the above snippet, we start by creating an instance of the CounterBloc
. We then print the current state of the Bloc
which is the initial state (since no new states have been emitted yet). Next, we add the CounterIncrementPressed
event to trigger a state change. Finally, we print the state of the Bloc
again which went from 0
to 1
and call close
on the Bloc
to close the internal state stream.
Just like with Cubit
, a Bloc
is a special type of Stream
, which means we can also subscribe to a Bloc
for real-time updates to its state:
In the above snippet, we are subscribing to the CounterBloc
and calling print on each state change. We are then adding the CounterIncrementPressed
event which triggers the on<CounterIncrementPressed>
EventHandler
and emits a new state. Lastly, we are calling cancel
on the subscription when we no longer want to receive updates and closing the Bloc
.
Since Bloc
extends BlocBase
, we can observe all state changes for a Bloc
using onChange
.
We can then update main.dart
to:
Now if we run the above snippet, the output will be:
One key differentiating factor between Bloc
and Cubit
is that because Bloc
is event-driven, we are also able to capture information about what triggered the state change.
We can do this by overriding onTransition
.
The change from one state to another is called a Transition
. A Transition
consists of the current state, the event, and the next state.
If we then rerun the same main.dart
snippet from before, we should see the following output:
Just as before, we can override onTransition
in a custom BlocObserver
to observe all transitions that occur from a single place.
We can initialize the SimpleBlocObserver
just like before:
Now if we run the above snippet, the output should look like:
Another unique feature of Bloc
instances is that they allow us to override onEvent
which is called whenever a new event is added to the Bloc
. Just like with onChange
and onTransition
, onEvent
can be overridden locally as well as globally.
We can run the same main.dart
as before and should see the following output:
Just like with Cubit
, each Bloc
has an addError
and onError
method. We can indicate that an error has occurred by calling addError
from anywhere inside our Bloc
. We can then react to all errors by overriding onError
just as with Cubit
.
If we rerun the same main.dart
as before, we can see what it looks like when an error is reported:
Now that we’ve covered the basics of the Cubit
and Bloc
classes, you might be wondering when you should use Cubit
and when you should use Bloc
.
One of the biggest advantages of using Cubit
is simplicity. When creating a Cubit
, we only have to define the state as well as the functions which we want to expose to change the state. In comparison, when creating a Bloc
, we have to define the states, events, and the EventHandler
implementation. This makes Cubit
easier to understand and there is less code involved.
Now let’s take a look at the two counter implementations:
The Cubit
implementation is more concise and instead of defining events separately, the functions act like events. In addition, when using a Cubit
, we can simply call emit
from anywhere in order to trigger a state change.
One of the biggest advantages of using Bloc
is knowing the sequence of state changes as well as exactly what triggered those changes. For state that is critical to the functionality of an application, it might be very beneficial to use a more event-driven approach in order to capture all events in addition to state changes.
A common use case might be managing AuthenticationState
. For simplicity, let’s say we can represent AuthenticationState
via an enum
:
There could be many reasons as to why the application’s state could change from authenticated
to unauthenticated
. For example, the user might have tapped a logout button and requested to be signed out of the application. On the other hand, maybe the user’s access token was revoked and they were forcefully logged out. When using Bloc
we can clearly trace how the application state got to a certain state.
The above Transition
gives us all the information we need to understand why the state changed. If we had used a Cubit
to manage the AuthenticationState
, our logs would look like:
This tells us that the user was logged out but it doesn’t explain why which might be critical to debugging and understanding how the state of the application is changing over time.
Another area in which Bloc
excels over Cubit
is when we need to take advantage of reactive operators such as buffer
, debounceTime
, throttle
, etc.
Bloc
has an event sink that allows us to control and transform the incoming flow of events.
For example, if we were building a real-time search, we would probably want to debounce the requests to the backend in order to avoid getting rate-limited as well as to cut down on cost/load on the backend.
With Bloc
we can provide a custom EventTransformer
to change the way incoming events are processed by the Bloc
.
With the above code, we can easily debounce the incoming events with very little additional code.
If you are unsure about which to use, start with Cubit
and you can later refactor or scale-up to a Bloc
as needed.