What exactly is a ReceivePort / RawReceivePort? And how to find external method implementations in Dart? - dart

I'm currently experimenting with Isolates in dart.
I'm trying to create a wrapper around an Isolate to make it more pleasant to use.
The desired interface is something along the lines:
abstract class BgIsolateInterface {
Future<Response> send<Message, Response>(Message message);
}
I want to have a method that sends a message to the background interface and then return the response to the caller.
To achieve this I figured I have to create a new RawReceivePort or ReceivePort in the send function to reliably get the correct response.
But this would mean I'm essentially creating the port and discarding it. Going against the documentations which states
Opens a long-lived port for receiving messages.
So my questions are:
what exactly are ReceivePorts and RawReceivePorts?
would my use case be valid i.e. have them be created only to read a single response?
should I look at another way of doing things?
Note: Please don't suggest the Flutter compute function as an alternative. I'm looking to do this in a long running isolate so I can share services / state between function calls. I'm just not showing this here to keep the question short.
Thank you very much!!!
Edit #1:
When providing the answer I realised there was also an underling question about how to read the Dart source, more specifically how to find external methods' implementations. That question was added to the title. The original question was just: What exactly is a ReceivePort / RawReceivePort?.

Yesterday, I've searched across the source and I think, I now have the answers. If I'm wrong, anyone more involved with the engine please correct me. This is mostly my speculation.
TLDR:
ReceivePort/RawReceivePorts are essentially int ids with a registered message handler. The SendPort knows to which id i.e. ReceivePort/RawReceivePort it should send the data to.
Yes. But for another use case there is better way.
Change the interface, so we react to states / responses coming from the isolate i.e.
abstract class BgIsolateInterface<Message, Response> {
void send(Message message);
void listen(void Function(Response) onData);
}
Long
#1
I've looked at the implementation and I'm including my findings here also to put a note for my future self on how to actually do this if I ever need to.
First, if we look at the implementation of ReceivePort (comments removed):
abstract class ReceivePort implements Stream<dynamic> {
external factory ReceivePort([String debugName = '']);
external factory ReceivePort.fromRawReceivePort(RawReceivePort rawPort);
StreamSubscription<dynamic> listen(void onData(var message)?,
{Function? onError, void onDone()?, bool? cancelOnError});
void close();
SendPort get sendPort;
}
We can see the external keyword. Now, this means implementation is defined somewhere else. Great! Where?
Let's open the SDK source and look. We are looking for a class definition of the same name i.e. ReceivePort with a #patch annotation. Also it seems the Dart team follows the convention of naming the implementation files for these external methods with the suffix _patch.dart.
We then find the three of these patch files. Two for the js runtime, one for development and one for production, and one file for the native? runtime. Since, I'm not using Dart for the web, the latter is the one I'm interested in.
In the file: sdk/lib/_internal/vm/lib/isolate_patch.dart we see:
#patch
class ReceivePort {
#patch
factory ReceivePort([String debugName = '']) =>
new _ReceivePortImpl(debugName);
#patch
factory ReceivePort.fromRawReceivePort(RawReceivePort rawPort) {
return new _ReceivePortImpl.fromRawReceivePort(rawPort);
}
}
Ok, so the implementation for ReceivePort is actually a library private _ReceivePortImpl class.
Note: As you can see factory methods don't have to return the same class the method is defined in. You just have to return an object that implements or extends it. i.e., has the same contract.
class _ReceivePortImpl extends Stream implements ReceivePort {
_ReceivePortImpl([String debugName = ''])
: this.fromRawReceivePort(new RawReceivePort(null, debugName));
_ReceivePortImpl.fromRawReceivePort(this._rawPort)
: _controller = new StreamController(sync: true) {
_controller.onCancel = close;
_rawPort.handler = _controller.add;
}
SendPort get sendPort {
return _rawPort.sendPort;
}
StreamSubscription listen(void onData(var message)?,
{Function? onError, void onDone()?, bool? cancelOnError}) {
return _controller.stream.listen(onData,
onError: onError, onDone: onDone, cancelOnError: cancelOnError);
}
close() {
_rawPort.close();
_controller.close();
}
final RawReceivePort _rawPort;
final StreamController _controller;
}
Which as we can see is really just a wrapper around a RawReceivePort where the handler is a StreamController.add method. So, what about the RawReceivePort?
If we look at initial file where ReceivePort is defined we again see. It's just one external factory method and an interface for others.
abstract class RawReceivePort {
external factory RawReceivePort([Function? handler, String debugName = '']);
void set handler(Function? newHandler);
SendPort get sendPort;
}
Luckily, its #patch version can also be found in the same place as the ReceivePorts.
#patch
class RawReceivePort {
#patch
factory RawReceivePort([Function? handler, String debugName = '']) {
_RawReceivePortImpl result = new _RawReceivePortImpl(debugName);
result.handler = handler;
return result;
}
}
Ok, again the actual implementation is _RawReceivePortImpl class.
#pragma("vm:entry-point")
class _RawReceivePortImpl implements RawReceivePort {
factory _RawReceivePortImpl(String debugName) {
final port = _RawReceivePortImpl._(debugName);
_portMap[port._get_id()] = <String, dynamic>{
'port': port,
};
return port;
}
#pragma("vm:external-name", "RawReceivePortImpl_factory")
external factory _RawReceivePortImpl._(String debugName);
close() {
_portMap.remove(this._closeInternal());
}
SendPort get sendPort {
return _get_sendport();
}
bool operator ==(var other) {
return (other is _RawReceivePortImpl) &&
(this._get_id() == other._get_id());
}
int get hashCode {
return sendPort.hashCode;
}
#pragma("vm:external-name", "RawReceivePortImpl_get_id")
external int _get_id();
#pragma("vm:external-name", "RawReceivePortImpl_get_sendport")
external SendPort _get_sendport();
#pragma("vm:entry-point", "call")
static _lookupHandler(int id) {
var result = _portMap[id]?['handler'];
return result;
}
#pragma("vm:entry-point", "call")
static _lookupOpenPorts() {
return _portMap.values.map((e) => e['port']).toList();
}
#pragma("vm:entry-point", "call")
static _handleMessage(int id, var message) {
final handler = _portMap[id]?['handler'];
if (handler == null) {
return null;
}
handler(message);
_runPendingImmediateCallback();
return handler;
}
#pragma("vm:external-name", "RawReceivePortImpl_closeInternal")
external int _closeInternal();
#pragma("vm:external-name", "RawReceivePortImpl_setActive")
external _setActive(bool active);
void set handler(Function? value) {
final int id = this._get_id();
if (!_portMap.containsKey(id)) {
_portMap[id] = <String, dynamic>{
'port': this,
};
}
_portMap[id]!['handler'] = value;
}
static final _portMap = <int, Map<String, dynamic>>{};
}
OK, now we're getting somewhere. A lot is going on.
First thing to note are the: #pragma("vm:entry-point"), #pragma("vm:entry-point", "call") and #pragma("vm:external-name", "...") annotations. Docs can be found here.
Oversimplified:
vm:entry-point tells the compiler this class / method will be used from native code.
vm:external-name tells the compiler to invoke a native function which is registered to the name provided by the annotation.
For instance to know the implementation of:
#pragma("vm:external-name", "RawReceivePortImpl_factory")
external factory _RawReceivePortImpl._(String debugName);
We have to look for DEFINE_NATIVE_ENTRY(RawReceivePortImpl_factory. And we find the entry in: runtime/lib/isolate.cc.
DEFINE_NATIVE_ENTRY(RawReceivePortImpl_factory, 0, 2) {
ASSERT(TypeArguments::CheckedHandle(zone, arguments->NativeArgAt(0)).IsNull());
GET_NON_NULL_NATIVE_ARGUMENT(String, debug_name, arguments->NativeArgAt(1));
Dart_Port port_id = PortMap::CreatePort(isolate->message_handler());
return ReceivePort::New(port_id, debug_name, false /* not control port */);
}
We see the port_id is created by PortMap::CreatePort and is of type Dart_Port. Hmmm, and what is a the type definition for Dart_Port.
runtime/include/dart_api.h
typedef int64_t Dart_Port;
OK so the actual internal representation of a RawReceivePort is a signed int stored in 64 bits, and some additional information like the type, state, debug names etc.
Most of the work is then being done in PortMap::CreatePort and other of its methods. I won't go in depth, because quite honestly I don't understand everything.
But from the looks of it the PortMap uses the port_id to point to some additional information + objects. It generates it randomly and makes sure the id is not taken. It also does a lot of different things but let's move on.
When sending a message through SendPort.send, the method essentially calls the registered entry SendPortImpl_sendInternal_ which determines which port to send the information to.
Note: SendPort essentially just points to its ReceivePort and also stores the id of the Isolate where it was created. When posting a message this id is used to determine what kind of objects can be sent through.
The a message is created and passed to PortMap::PostMessage which in turn calls MessageHandler::PostMessage.
There the message is enqueued by a call to MessageQueue::Enqueue. Then a MessageHandlerTask is ran on the ThreadPool.
The MessageHandlerTask essentially just calls the MessageHandler::TaskCallback which eventually calls MessageHandler::HandleMessages.
There the MessageHandler::HandleMessage is called, but this function is implemented by a child class of MessageHandler.
Currently there are two:
IsolateMessageHandler and
NativeMessageHandler.
We are interested in the IsolateMessageHandler.
Looking there we see IsolateMessageHandler::HandleMessage eventually calls DartLibraryCalls::HandleMessage which calls object_store->handle_message_function(). full chain: Thread::Current()->isolate_group()->object_store()->handle_message_function()
The function handle_message_function is defined by the (dynamic?) macro LAZY_ISOLATE(Function, handle_message_function) in runtime/vm/object_store.h.
The property + stores created are used in: runtime/vm/object_store.cc by the: ObjectStore::LazyInitIsolateMembers.
_RawReceivePortImpl is registered to lazily load at the isolate_lib.LookupClassAllowPrivate(Symbols::_RawReceivePortImpl()) call.
As well as, the methods marked with #pragma("vm:entry-point", "call"), including static _handleMessage(int id, var message).
Which is the handler that ->handle_message_function() returns.
Later the DartLibraryCalls::HandleMessage invokes it through DartEntry::InvokeFunction with the parameters port_id and the message.
This calls the _handleMessage function which calls the registered _RawReceivePort.handler.
#2
If we compare the Flutter's compute method implementation. It spins up an Isolate and 3 ReceivePorts for every compute call. If I used compute, I would be spending more resources and loose context between multiple message calls I can have with a long-running Isolate. So for my use case I reason, creating a new ReceivePort everytime I pass a message shouldn't be a problem.
#3
I could use a different approache. But I still wish to have a long running Isolate so I have the flexibility to share context between different calls to the Isolate.
Alternative:
Would be following a bloc / stream style interface and have a method to assign a listener and a method to send or add a message event, and have the calling code listen to the responses received and act accordingly.
i.e. an interface like:
abstract class BgIsolateInterface<Message, Response> {
void send(Message message);
void addListener(void Function(Response) onData);
void removeListener(void Function(Response) onData);
}
the down side is the Message and Response have to be determined when creating the class rather than simply when using the send method like the interface in my question. Also now some other part of the code base has to handle the Response. I prefer to handle everything at the send call site.
Note: The source code of the Dart project is put here for presentation purposes. The live source may change with time. Its distribution and use are governed by their LICENSE.
Also: I'm not C/C++ developer so any interpretation of the C/C++ code may be wrong.
While this answer is long side-steps the questions a little bit, I find it useful to include the steps to search through the Dart source. Personally, I found it difficult initially to find where external functions are defined and what some of the annotation values mean. While these steps could be extracted into a separate question, I think it's useful to keep it here where there was a use case to actually dive deep.
Thank you for reading!

Related

How do I run some code only once in Dart?

I wonder if there's a language sugar/SDK utility function in Dart that allows to protect a certain code from running more than once?
E.g.
void onUserLogin() {
...
runOnce(() {
handleInitialMessage();
});
...
}
I know I can add a global or class static boolean flag to check but it would be accessible in other functions of the same scope with a risk of accidental mixup in the future.
In C++ I could e.g. use a local static bool for this.
There is no built-in functionality to prevent code from running more than once. You need some kind of external state to know whether it actually did run.
You can't just remember whether the function itself has been seen before, because you use a function expression ("lambda") here, and every evaluation of that creates a new function object which is not even equal to other function objects created by the same expression.
So, you need something to represent the location of the call.
I guess you could hack up something using stack traces. I will not recommend that (very expensive for very little advantage).
So, I'd recommend something like:
class RunOnce {
bool _hasRun = false;
void call(void Function() function) {
if (_hasRun) return;
// Set after calling if you don't want a throw to count as a run.
_hasRun = true;
function();
}
}
...
static final _runOnce = RunOnce();
void onUserLogin() {
_runOnce(handleInitialMessage);
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It's still just a static global that can be accidentally reused.

Shared Interface Implementation in Remote Proxy Pattern

I'm brushing up on my design patterns knowledge by going through them in Dart, and I'm currently working on the remote proxy pattern. As I understand, the pattern implies a shared interface between the real object residing on a server machine, and the proxy object on a client machine.
I've managed to get all the networking between the client and server working fine, and i've set up a simple RPC API with dart's HttpServer and HttpClient, but there's one thing that's bugging me. The methods on the proxy object must be asynchronous because of the networking involved, but the real object's methods aren't asynchronous. It would appear that this makes it impossible for them to share an interface, and thus functional consistency between the two classes isn't guaranteed by the type system.
Is there a way to implement some kind of a future version of a certain interface in dart? I don't mean something that returns Future<SomeInterface>, but something where the methods of SomeInterface are implemented asynchronously with Future return types. What i'm looking for is something like:
abstract class IShared {
int foo();
}
class Bar implements IShared {
#override
int foo() {
// perform work here
return 0;
}
}
class BarProxy implements async IShared {
// Currently an invalid override
#override
Future<int> foo() async {
// perform async work here
return 0;
}
}
I'm aware that Future<IShared> implies something completely different entirely, but is there anything that could help implement what I want? Maybe i'm being too strict with requiring a shared interface between the real object and the proxy, but that's how it's always implemented in class diagrams.
Or perhaps there's a good pattern that i'm missing that can achieve this.
To be clear, I don't want to make the methods of the shared interface and non proxy object async with Future returns if possible.
Seems like a case for FutureOr which you can use to represent the case where you want to be able to return a object or same object packed inside an Future:
import 'dart:async';
abstract class IShared {
FutureOr<int> foo();
}
class Bar implements IShared {
#override
int foo() {
// perform work here
return 0;
}
}
class BarProxy implements IShared {
#override
Future<int> foo() async {
// perform async work here
return 0;
}
}

How to pass data down the reactive chain

Whenever I need to pass data down the reactive chain I end up doing something like this:
public Mono<String> doFooAndPassDtoAsMono(Dto dto) {
return Mono.just(dto)
.flatMap(dtoMono -> {
Mono<String> result = // remote call returning a Mono
return Mono.zip(Mono.just(dtoMono), result);
})
.flatMap(tup2 -> {
return doSomething(tup2.getT1().getFoo(), tup2.getT2()); // do something that requires foo and result and returns a Mono
});
}
Given the below sample Dto class:
class Dto {
private String foo;
public String getFoo() {
return this.foo;
}
}
Because it often gets tedious to zip the data all the time to pass it down the chain (especially a few levels down) I was wondering if it's ok to simply reference the dto directly like so:
public Mono<String> doFooAndReferenceParam(Dto dto) {
Mono<String> result = // remote call returning a Mono
return result.flatMap(result -> {
return doSomething(dto.getFoo(), result); // do something that requires foo and result and returns a Mono
});
}
My concern about the second approach is that assuming a subscriber subscribes to this Mono on a thread pool would I need to guarantee that Dto is thread safe (the above example is simple because it just carries a String but what if it's not)?
Also, which one is considered "best practice"?
Based on what you have shared, you can simply do following:
public Mono<String> doFooAndPassDtoAsMono(Dto dto) {
return Mono.just(dto.getFoo());
}
The way you are using zip in the first option doesn't solve any purpose. Similarly, the 2nd option will not work either as once the mono is empty then the next flat map will not be triggered.
The case is simple if
The reference data is available from the beginning (i.e. before the creation of the chain), and
The chain is created for processing at most one event (i.e. starts with a Mono), and
The reference data is immutable.
Then you can simple refer to the reference data in a parameter or local variable – just like in your second solution. This is completely okay, and there are no concurrency issues.
Using mutable data in reactive flows is strongly discouraged. If you had a mutable Dto class, you might still be able to use it (assuming proper synchronization) – but this will be very surprising to readers of your code.

JNA: invalid memory access with callback function parameter (struct)

To lone travelers stumbling upon this: see comments for the answer.
...
Writing a Java wrapper for a native library. A device generates data samples and stores them as structs. Two native ways of accessing them: either you request one with a getSample(&sampleStruct) or you set a callback function. Now, here is what does work:
The polling method does fill the JNA Structure
The callback function is called after being set
In fact, I am currently getting the sample right from the callback function
The problem: trying to do anything with the callback argument, which should be a struct, causes an "invalid memory access". Declaring the argument as the Structure does this, so I declared it as a Pointer. Trying a Pointer.getInt(0) causes invalid memory access. So then I declared the argument as an int, and an int is delivered; in fact, it looks very much like the first field of the struct I am trying to get! So does it mean that the struct was at that address but disappeared before Java had time to access it?
This is what I am doing now:
public class SampleCallback implements Callback{
SampleStruct sample;
public int callback(Pointer refToSample) throws IOException{
lib.INSTANCE.GetSample(sample); // works no problem
adapter.handleSample(sample);
return 1;
} ...
But neither of these does:
public int callback(SampleStruct sample) throws IOException{
adapter.handleSample(sample);
return 1;
}
...
public int callback(Pointer refToSample) throws IOException{
SampleStruct sample = new SampleStruct();
sample.timestamp = refToSample.getInt(0);
...
adapter.handleSample(sample);
return 1;
}
Also, this does in fact deliver the timestamp,
public int callback(int timestamp) throws IOException{
System.out.println("It is " + timestamp + "o'clock");
return 1;
}
but I would really prefer the whole struct.
This is clearly not going to be a popular topic and I do have a working solution, so the description is not exactly full. Will copy anything else that might be helpful if requested. Gratitude prematurely extended.

What's so special about optional typing in dart

What's so special about "optional typing"?
People are very enthusiastic about Dart supporting "optional typing", but once a language supports duck typing - can't I take optional typing for granted? Isn't it an obvious feature?
When you specify types annotations you're passing information to both fellow developers and tools.
Consider this (fairly long) example of two functions - the first with no type info, the second with type info:
createConnection(details) {
var foo = details.host; // assume details has a host property
// do stuff
return connection;
}
versus
Connection createConnection(ConnectionParams details) {
var foo = details.host; // tools can validate that details has a host property
// do stuff
return connection;
}
When you call the first function, you need to know (from either reading API docs, or the sourcecode) that the function takes something which has a host field. You also need to know that the function returns a Connection object, not a string or something else.
When you call the second function, you know that you can pass in any object that meets the interface defined by ConnectionParams, and you know that a Connection object is returned.
Let's say you have two classes:
class MySqlConn {
String host;
}
class PostgreSqlConn {
String host;
}
// elsewhere
var conn = new MySqlConn()..host = '127.0.0.1';
createConnection(conn);
Although though it's valid duck typing, there is no connection in code between the first function and these classes, other than they both have a field with the same name: host.
Looking at these two classes, I can't tell that one use of them is to pass an instance of them into the createConnection() function (and it's very hard for tools to understand that, too). I can't create API docs for the createConnection function that link back to these two classes.
When you add a little more type information, communicating intent, suddenly everything comes together.
// define an interface
abstract class ConnectionParams {
String host;
}
// inform tools and humans that MySqlConn implements the interface
class MySqlConn implements ConnectionParams {
String host;
}
class PostgreSqlConn implements ConnectionParams {
String host;
}
Now both tools and humans can form links in static code from the second createConnection function back to the classes and ultimately the interface. With the first example, the link is only made at runtime.

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