F# throttle function call frequency - f#

I have the following code to throttle the call of httpRequestStringThrottled once a second. However, the function is called without any delay. Did I miss anything?
let createThrottler (delay: TimeSpan) =
MailboxProcessor.Start(fun inbox ->
let rec loop (lastCallTime: DateTime option) =
async {
let! (chan: AsyncReplyChannel<_>) = inbox.Receive()
let sleepTime =
match lastCallTime with
| None -> 0
| Some time -> int((time - DateTime.Now + delay).TotalMilliseconds)
if sleepTime > 0 then
do! Async.Sleep sleepTime
let lastCallTime = DateTime.Now
chan.Reply()
return! loop(Some lastCallTime)
}
loop None)
let httpThrottler = createThrottler (TimeSpan.FromMilliseconds 1000.)
let httpRequestStringThrottled url =
async {
do! httpThrottler.PostAndAsyncReply id
return! httpRequestStringAsync url
}
// Test
[0..100] |> Seq.map (fun _ ->
let html = httpRequestStringThrottled "..." |> Async.RunSynchronize
html)

Your code is actually working fine, as far as I can tell, in F# interactive. You're just missing the calls to actually evaluate the Asyncs you create in your sequence:
// Test
[0..100] |> Seq.map (fun _ ->
let html = httpRequestStringThrottled "..."
html) |> Async.Parallel |> Async.RunSynchronously
Your code creates a sequence of 101 Async values. These are created immediately, but they do not evaluate immediately. They are only evaluated when you call something like Async.Start or Async.RunSynchronously. In your case, they will correctly be blocked for up to 1 second based on the time of the previous call, but that block only occurs during the evaluation of the Async, so you have to force them to evaluate to see the effect.
To test your code, I wrote a mock version of httpRequestStringAsync that prints the time when it's actually invoked.
let httpRequestStringAsync url =
async {
printfn "Requesting Html # %A..." DateTime.Now
do! Async.Sleep(50)
return "html"
}
Then, when running the modified version of your test above, I get the following output:
Requesting Html # 8/2/2018 11:15:17 AM...
Requesting Html # 8/2/2018 11:15:18 AM...
Requesting Html # 8/2/2018 11:15:19 AM...
Requesting Html # 8/2/2018 11:15:20 AM...
Requesting Html # 8/2/2018 11:15:21 AM...

Related

Is there a way in F# to chain computation?

I would like to create a chain of expressions and any of them can fail when the computation should just stop.
With Unix pipes it is usually like this:
bash-3.2$ echo && { echo 'a ok'; echo; } && { echo 'b ok'; echo; }
a ok
b ok
When something fails the pipeline stops:
echo && { echo 'a ok'; false; } && { echo 'b ok'; echo; }
a ok
I can handle Optionals but my problem is that I might want to do multiple things in each branch:
let someExternalOperation = callToAnAPI()
match someExternalOperation with
| None -> LogAndStop()
| Some x -> LogAndContinue()
Then I would like to keep going with other API calls and only stop if there is an error.
Is there something like that in F#?
Update1:
What I am trying to do is calling out to external APIs. Each call can fail. Would be nice to try to retry but not required.
You can use the F# Async and Result types together to represent the results of each API Call. You can then use the bind functions for those types to build a workflow in which you only continue processing when the previous calls were successful. In order to make that easier, you can wrap the Async<Result<_,_>> you would be working with for each api call in its own type and build a module around binding those results to orchestrate a chained computation. Here's a quick example of what that would look like:
First, we would lay out the type ApiCallResult to wrap Async and Result, and we would define ApiCallError to represent HTTP error responses or exceptions:
open System
open System.Net
open System.Net.Http
type ApiCallError =
| HttpError of (int * string)
| UnexpectedError of exn
type ApiCallResult<'a> = Async<Result<'a, ApiCallError>>
Next, we would create a module to work with ApiCallResult instances, allowing us to do things like bind, map, and return so that we can process the results of a computation and feed them into the next one.
module ApiCall =
let ``return`` x : ApiCallResult<_> =
async { return Ok x }
let private zero () : ApiCallResult<_> =
``return`` []
let bind<'a, 'b> (f: 'a -> ApiCallResult<'b>) (x: ApiCallResult<'a>) : ApiCallResult<'b> =
async {
let! result = x
match result with
| Ok value ->
return! f value
| Error error ->
return Error error
}
let map f x = x |> bind (f >> ``return``)
let combine<'a> (acc: ApiCallResult<'a list>) (cur: ApiCallResult<'a>) =
acc |> bind (fun values -> cur |> map (fun value -> value :: values))
let join results =
results |> Seq.fold (combine) (zero ())
Then, you would have a module to simply do your API calls, however that works in your real scenario. Here's one that just handles GETs with query parameters, but you could make this more sophisticated:
module Api =
let call (baseUrl: Uri) (queryString: string) : ApiCallResult<string> =
async {
try
use client = new HttpClient()
let url =
let builder = UriBuilder(baseUrl)
builder.Query <- queryString
builder.Uri
printfn "Calling API: %O" url
let! response = client.GetAsync(url) |> Async.AwaitTask
let! content = response.Content.ReadAsStringAsync() |> Async.AwaitTask
if response.IsSuccessStatusCode then
let! content = response.Content.ReadAsStringAsync() |> Async.AwaitTask
return Ok content
else
return Error <| HttpError (response.StatusCode |> int, content)
with ex ->
return Error <| UnexpectedError ex
}
let getQueryParam name value =
value |> WebUtility.UrlEncode |> sprintf "%s=%s" name
Finally, you would have your actual business workflow logic, where you call multiple APIs and feed the results of one into another. In the below example, anywhere you see callMathApi, it is making a call to an external REST API that may fail, and by using the ApiCall module to bind the results of the API call, it only proceeds to the next API call if the previous call was successful. You can declare an operator like >>= to eliminate some of the noise in the code when binding computations together:
module MathWorkflow =
let private (>>=) x f = ApiCall.bind f x
let private apiUrl = Uri "http://api.mathjs.org/v4/" // REST API for mathematical expressions
let private callMathApi expression =
expression |> Api.getQueryParam "expr" |> Api.call apiUrl
let average values =
values
|> List.map (sprintf "%d")
|> String.concat "+"
|> callMathApi
>>= fun sum ->
sprintf "%s/%d" sum values.Length
|> callMathApi
let averageOfSquares values =
values
|> List.map (fun value -> sprintf "%d*%d" value value)
|> List.map callMathApi
|> ApiCall.join
|> ApiCall.map (List.map int)
>>= average
This example uses the Mathjs.org API to compute the average of a list of integers (making one API call to compute the sum, then another to divide by the number of elements), and also allows you to compute the average of the squares of a list of values, by calling the API asynchronously for each element in the list to square it, then joining the results together and computing the average. You can use these functions as follows (I added a printfn to the actual API call so it logs the HTTP requests):
Calling average:
MathWorkflow.average [1;2;3;4;5] |> Async.RunSynchronously
Outputs:
Calling API: http://api.mathjs.org/v4/?expr=1%2B2%2B3%2B4%2B5
Calling API: http://api.mathjs.org/v4/?expr=15%2F5
[<Struct>]
val it : Result<string,ApiCallError> = Ok "3"
Calling averageOfSquares:
MathWorkflow.averageOfSquares [2;4;6;8;10] |> Async.RunSynchronously
Outputs:
Calling API: http://api.mathjs.org/v4/?expr=2*2
Calling API: http://api.mathjs.org/v4/?expr=4*4
Calling API: http://api.mathjs.org/v4/?expr=6*6
Calling API: http://api.mathjs.org/v4/?expr=8*8
Calling API: http://api.mathjs.org/v4/?expr=10*10
Calling API: http://api.mathjs.org/v4/?expr=100%2B64%2B36%2B16%2B4
Calling API: http://api.mathjs.org/v4/?expr=220%2F5
[<Struct>]
val it : Result<string,ApiCallError> = Ok "44"
Ultimately, you may want to implement a custom Computation Builder to allow you to use a computation expression with the let! syntax, instead of explicitly writing the calls to ApiCall.bind everywhere. This is fairly simple, since you already do all the real work in the ApiCall module, and you just need to make a class with the appropriate Bind/Return members:
type ApiCallBuilder () =
member __.Bind (x, f) = ApiCall.bind f x
member __.Return x = ApiCall.``return`` x
member __.ReturnFrom x = x
member __.Zero () = ApiCall.``return`` ()
let apiCall = ApiCallBuilder()
With the ApiCallBuilder, you could rewrite the functions in the MathWorkflow module like this, making them a little easier to read and compose:
let average values =
apiCall {
let! sum =
values
|> List.map (sprintf "%d")
|> String.concat "+"
|> callMathApi
return!
sprintf "%s/%d" sum values.Length
|> callMathApi
}
let averageOfSquares values =
apiCall {
let! squares =
values
|> List.map (fun value -> sprintf "%d*%d" value value)
|> List.map callMathApi
|> ApiCall.join
return! squares |> List.map int |> average
}
These work as you described in the question, where each API call is made independently and the results feed into the next call, but if one call fails the computation is stopped and the error is returned. For example, if you change the URL used in the example calls here to the v3 API ("http://api.mathjs.org/v3/") without changing anything else, you get the following:
Calling API: http://api.mathjs.org/v3/?expr=2*2
[<Struct>]
val it : Result<string,ApiCallError> =
Error
(HttpError
(404,
"<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Error</title>
</head>
<body>
<pre>Cannot GET /v3/</pre>
</body>
</html>
"))

Return results to the caller with a throttling queue

Building on a snippet and answer, would it be possible to return results to the caller from the throttling queue? I've tried PostAndAsyncReply to receive reply on a channel but it's throwing an error if I pipe it with Enqueue. Here's the code.
Appreciate a F# core vanilla based solution around Queue or Mailbox design patterns.
Question
The question is to be able to call functions asynchronously based on the throttle (max 3 at a time), passing each item from the array, wait on the whole queue/array until it's finished while collecting all the results and then return the results to the caller. (Return the results to the caller is what's pending in here)
Callee Code
// Message type used by the agent - contains queueing
// of work items and notification of completion
type ThrottlingAgentMessage =
| Completed
| Enqueue of Async<unit>
/// Represents an agent that runs operations in concurrently. When the number
/// of concurrent operations exceeds 'limit', they are queued and processed later
let throttlingAgent limit =
MailboxProcessor.Start(fun inbox ->
async {
// The agent body is not executing in parallel,
// so we can safely use mutable queue & counter
let queue = System.Collections.Generic.Queue<Async<unit>>()
let running = ref 0
while true do
// Enqueue new work items or decrement the counter
// of how many tasks are running in the background
let! msg = inbox.Receive()
match msg with
| Completed -> decr running
| Enqueue w -> queue.Enqueue(w)
// If we have less than limit & there is some work to
// do, then start the work in the background!
while running.Value < limit && queue.Count > 0 do
let work = queue.Dequeue()
incr running
do! // When the work completes, send 'Completed'
// back to the agent to free a slot
async {
do! work
inbox.Post(Completed)
}
|> Async.StartChild
|> Async.Ignore
})
let requestDetailAsync (url: string) : Async<Result<string, Error>> =
async {
Console.WriteLine ("Simulating request " + url)
try
do! Async.Sleep(1000) // let's say each request takes about a second
return Ok (url + ":body...")
with :? WebException as e ->
return Error {Code = "500"; Message = "Internal Server Error"; Status = HttpStatusCode.InternalServerError}
}
let requestMasterAsync() : Async<Result<System.Collections.Concurrent.ConcurrentBag<_>, Error>> =
async {
let urls = [|
"http://www.example.com/1";
"http://www.example.com/2";
"http://www.example.com/3";
"http://www.example.com/4";
"http://www.example.com/5";
"http://www.example.com/6";
"http://www.example.com/7";
"http://www.example.com/8";
"http://www.example.com/9";
"http://www.example.com/10";
|]
let results = System.Collections.Concurrent.ConcurrentBag<_>()
let agent = throttlingAgent 3
for url in urls do
async {
let! res = requestDetailAsync url
results.Add res
}
|> Enqueue
|> agent.Post
return Ok results
}
Caller Code
[<TestMethod>]
member this.TestRequestMasterAsync() =
match Entity.requestMasterAsync() |> Async.RunSynchronously with
| Ok result -> Console.WriteLine result
| Error error -> Console.WriteLine error
You could use Hopac.Streams for that. With such tool it is pretty trivial:
open Hopac
open Hopac.Stream
open System
let requestDetailAsync url = async {
Console.WriteLine ("Simulating request " + url)
try
do! Async.Sleep(1000) // let's say each request takes about a second
return Ok (url + ":body...")
with :? Exception as e ->
return Error e
}
let requestMasterAsync() : Stream<Result<string,exn>> =
[| "http://www.example.com/1"
"http://www.example.com/2"
"http://www.example.com/3"
"http://www.example.com/4"
"http://www.example.com/5"
"http://www.example.com/6"
"http://www.example.com/7"
"http://www.example.com/8"
"http://www.example.com/9"
"http://www.example.com/10" |]
|> Stream.ofSeq
|> Stream.mapPipelinedJob 3 (requestDetailAsync >> Job.fromAsync)
requestMasterAsync()
|> Stream.iterFun (printfn "%A")
|> queue //prints all results asynchronously
let allResults : Result<string,exn> list =
requestMasterAsync()
|> Stream.foldFun (fun results cur -> cur::results ) []
|> run //fold stream into list synchronously
ADDED
In case you want to use only vanilla FSharp.Core with mailboxes only try this:
type ThrottlingAgentMessage =
| Completed
| Enqueue of Async<unit>
let inline (>>=) x f = async.Bind(x, f)
let inline (>>-) x f = async.Bind(x, f >> async.Return)
let throttlingAgent limit =
let agent = MailboxProcessor.Start(fun inbox ->
let queue = System.Collections.Generic.Queue<Async<unit>>()
let startWork work =
work
>>- fun _ -> inbox.Post Completed
|> Async.StartChild |> Async.Ignore
let rec loop curWorkers =
inbox.Receive()
>>= function
| Completed when queue.Count > 0 ->
queue.Dequeue() |> startWork
>>= fun _ -> loop curWorkers
| Completed ->
loop (curWorkers - 1)
| Enqueue w when curWorkers < limit ->
w |> startWork
>>= fun _ -> loop (curWorkers + 1)
| Enqueue w ->
queue.Enqueue w
loop curWorkers
loop 0)
Enqueue >> agent.Post
It is pretty much the same logic, but slightly optimized to not use queue if there is free worker capacity (just start job and don't bother with queue/dequeue).
throttlingAgent is a function int -> Async<unit> -> unit
Because we don't want client to bother with our internal ThrottlingAgentMessage type.
use like this:
let throttler = throttlingAgent 3
for url in urls do
async {
let! res = requestDetailAsync url
results.Add res
}
|> throttler

F#, MailboxProcessor and Async running slow?

Background.
I am trying to figure out MailboxProcessor. The idea is to use it as a some kind of state machine and pass arguments around between the states and then quit. Some parts are going to have async communication so I made a Sleep there.
It's a console application, making a Post does nothing because main thread quits and kills everything behind it. I am making a PostAndReply in main.
Also, I have tried without
let sleepWorkflow = async
, doesn't make any difference.
Questions.
(I am probably doing something wrong)
Go24 is not async. Changing RunSynchronously to StartImmediate makes no visible difference. The end should be somewhere below GetMe instead. At the same time Done is printed after Fetch. Isn't the control supposed t be returned to the main thread on sleep?
Go24, wait
go24 1, end
Fetch 1
Done
GetMe
...
Run time is terrible slow. Without delay in Fetch it's about 10s (stopwatch). I thought F# threads are lightweight and should use threadpool.
According to debugger it takes appr 1s to create every and it looks like real threads.
Also, changing to [1..100] will "pause" the program for 100s, according to ProcessExplorer 100 threads are created during that time and only then everything is printed. I would actually prefer fewer threads and slow increase.
Code.
Program.fs
[<EntryPoint>]
let main argv =
let a = Mailbox.MessageBasedCounter.DoGo24 1
let a = Mailbox.MessageBasedCounter.DoFetch 1
let b = Mailbox.MessageBasedCounter.GetMe
let task i = async {
//Mailbox.MessageBasedCounter.DoGo24 1
let a = Mailbox.MessageBasedCounter.DoFetch i
return a
}
let stopWatch = System.Diagnostics.Stopwatch.StartNew()
let x =
[1..10]
|> Seq.map task
|> Async.Parallel
|> Async.RunSynchronously
stopWatch.Stop()
printfn "%f" stopWatch.Elapsed.TotalMilliseconds
printfn "a: %A" a
printfn "b: %A" b
printfn "x: %A" x
0 // return an integer exit code
Mailbox.fs
module Mailbox
#nowarn "40"
type parserMsg =
| Go24 of int
| Done
| Fetch of int * AsyncReplyChannel<string>
| GetMe of AsyncReplyChannel<string>
type MessageBasedCounter () =
/// Create the agent
static let agent = MailboxProcessor.Start(fun inbox ->
// the message processing function
let rec messageLoop() = async{
let! msg = inbox.Receive()
match msg with
| Go24 n ->
let sleepWorkflow = async{
printfn "Go24, wait"
do! Async.Sleep 4000
MessageBasedCounter.DoDone() // POST Done.
printfn "go24 %d, end" n
return! messageLoop()
}
Async.RunSynchronously sleepWorkflow
| Fetch (i, repl) ->
let sync = async{
printfn "Fetch %d" i
do! Async.Sleep 1000
repl.Reply( "Reply Fetch " + i.ToString() ) // Reply to the caller
return! messageLoop()
}
Async.RunSynchronously sync
| GetMe (repl) ->
let sync = async{
printfn "GetMe"
repl.Reply( "GetMe" ) // Reply to the caller
return! messageLoop()
}
Async.RunSynchronously sync
| Done ->
let sync = async{
printfn "Done"
return! messageLoop()
}
Async.RunSynchronously sync
}
// start the loop
messageLoop()
)
// public interface to hide the implementation
static member DoDone () = agent.Post( Done )
static member DoGo24 (i:int) = agent.Post( Go24(i) )
static member DoFetch (i:int) = agent.PostAndReply( fun reply -> Fetch(i, reply) )
static member GetMe = agent.PostAndReply( GetMe )
I'm not necessarily sure that this is the main problem, but the nested asyncs and Async.RunSynchrously in the agent code look suspicious.
You do not need to create a nested async - you can just call asynchronous operations in the body of the match clauses directly:
// the message processing function
let rec messageLoop() = async{
let! msg = inbox.Receive()
match msg with
| Go24 n ->
printfn "Go24, wait"
do! Async.Sleep 4000
MessageBasedCounter.DoDone()
printfn "go24 %d, end" n
return! messageLoop()
| Fetch (i, repl) ->
(...)
Aside from that, it is important to understand that the agent has exactly one instance of the body computation running. So, if you block the body of the agent, all other operations will be queued.
If you want to start some task (like the synchronous operations) in the background and resume the agent immediately, you can use Async.Start inside the body (but be sure to call the main loop recursively in the main part of the body):
| Go24 n ->
// Create work item that will run in the background
let work = async {
printfn "Go24, wait"
do! Async.Sleep 4000
MessageBasedCounter.DoDone()
printfn "go24 %d, end" n }
// Queue the work in a thread pool to be processed
Async.Start(work)
// Continue the message loop, waiting for other messages
return! messageLoop()

FSharp: Using CSV Type Provider Async

I am using the csv type provider to collect some data from a series of files I have on Azure blob storage:
#r "../packages/FSharp.Data.2.0.9/lib/portable-net40+sl5+wp8+win8/FSharp.Data.dll"
open FSharp.Data
type censusDataContext = CsvProvider<"https://portalvhdspgzl51prtcpfj.blob.core.windows.net/censuschicken/AK.TXT">
type stateCodeContext = CsvProvider<"https://portalvhdspgzl51prtcpfj.blob.core.windows.net/censuschicken/states.csv">
let stateCodes = stateCodeContext.Load("https://portalvhdspgzl51prtcpfj.blob.core.windows.net/censuschicken/states.csv");
let fetchStateData (stateCode:string)=
let uri = System.String.Format("https://portalvhdspgzl51prtcpfj.blob.core.windows.net/censuschicken/{0}.TXT",stateCode)
censusDataContext.Load(uri).Rows
let usaData = stateCodes.Rows
|> Seq.collect(fun r -> fetchStateData(r.Abbreviation))
|> Seq.length
I now want to run these async and I am running into a problem with AsyncLoad:
let fetchStateDataAsync(stateCode:string)=
async{
let uri = System.String.Format("https://portalvhdspgzl51prtcpfj.blob.core.windows.net/censuschicken/{0}.TXT",stateCode)
let! stateData = censusDataContext.AsyncLoad(uri)
return stateData.Rows
}
let usaData = stateCodes.Rows
|> Seq.collect(fun r -> fetchStateDataAsync(r.Abbreviation))
|> Seq.length
The error message is
The type 'Async<seq<CsvProvider<...>.Row>>' is not compatible with the type 'seq<'a>'
Forgive my lack of async knowledge, but do I have to use something other than Seq.Collect when applying async functions?
Thanks in advance
The problem is that turning code to asynchronous (by wrapping it in the async { .. } block) changes the result from seq<Row> to Async<seq<Row>> - that is, you now get an asynchronous computation that will eventually complete and return the sequence.
To fix this, you need to somehow start the computation and wait for the result. There is a number of choices - like running one by one sequentially. Probably the easiest option (and maybe the best - depending on what you want to do) is to run the computations in parallel:
let getAll =
stateCodes.Rows
|> Seq.map(fun r -> fetchStateDataAsync(r.Abbreviation))
|> Async.Parallel
This gives you an asynchronous computation that runs all the downloads and returns an array of results. You can run this synchronously (and block) and get the results:
getAll |> Async.RunSynchronously
|> Seq.collect id
|> Seq.length
If you want to run the downloads asynchronously in the background you can do that to, but you need to specify what to do with the result. For example:
async {
let! all = getAll
all |> Seq.collect id |> Seq.length |> printfn "Length %d" }
|> Async.Start

Why is my MailboxProcessor hanging?

I can't work out why the following code is hanging at the call to GetTotal. I don't seem to be able to debug inside the MailboxProcessor, so it's hard to see what's going on.
module Aggregator
open System
type Message<'T, 'TState> =
| Aggregate of 'T
| GetTotal of AsyncReplyChannel<'TState>
type Aggregator<'T, 'TState>(initialState, f) =
let myAgent = new MailboxProcessor<Message<'T, 'TState>>(fun inbox ->
let rec loop agg =
async {
let! message = inbox.Receive()
match message with
| Aggregate x -> return! loop (f agg x)
| GetTotal replyChannel ->
replyChannel.Reply(agg)
return! loop agg
}
loop initialState
)
member m.Aggregate x = myAgent.Post(Aggregate(x))
member m.GetTotal = myAgent.PostAndReply(fun replyChannel -> GetTotal(replyChannel))
let myAggregator = new Aggregator<int, int>(0, (+))
myAggregator.Aggregate(3)
myAggregator.Aggregate(4)
myAggregator.Aggregate(5)
let totalSoFar = myAggregator.GetTotal
printfn "%d" totalSoFar
Console.ReadLine() |> ignore
It seems to work fine when using an identical MailboxProcessor directly, rather than wrapping in the Aggregator class.
The problem is that you did not start the agent. You can either call Start after you create the agent:
let myAgent = (...)
do myAgent.Start()
Alternatively, you can create the agent using MailboxProcessor<'T>.Start instead of calling the constructor (I usually prefer this option, because it looks more functional):
let myAgent = MailboxProcessor<Message<'T, 'TState>>.Start(fun inbox -> (...) )
I suppose that you couldn't debug the agent, because the code inside agent wasn't actually running. I tried adding printfn "Msg: %A" message right after the call to Receive inside the agent (to print incoming messages for debugging) and I noticed that, after calling Aggregate, no messages were actually received by the agent... (It only blocked after calling GetTotal, which avaits reply)
As a side-note, I would probably turn GetTotal into a method, so you'd call GetTotal(). Properties are re-evaluated each time you access them, so your code does the same thing, but best practices don't recommend using properties that do complex work.
You forgot to start the mailbox:
open System
type Message<'T, 'TState> =
| Aggregate of 'T
| GetTotal of AsyncReplyChannel<'TState>
type Aggregator<'T, 'TState>(initialState, f) =
let myAgent = new MailboxProcessor<Message<'T, 'TState>>(fun inbox ->
let rec loop agg =
async {
let! message = inbox.Receive()
match message with
| Aggregate x -> return! loop (f agg x)
| GetTotal replyChannel ->
replyChannel.Reply(agg)
return! loop agg
}
loop initialState
)
member m.Aggregate x = myAgent.Post(Aggregate(x))
member m.GetTotal = myAgent.PostAndReply(fun replyChannel -> GetTotal(replyChannel))
member m.Start() = myAgent.Start()
let myAggregator = new Aggregator<int, int>(0, (+))
myAggregator.Start()
myAggregator.Aggregate(3)
myAggregator.Aggregate(4)
myAggregator.Aggregate(5)
let totalSoFar = myAggregator.GetTotal
printfn "%d" totalSoFar
Console.ReadLine() |> ignore

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