f# 在 list.iteri 中执行 await 异步方法

Chi*_*ble 7 f# asynchronous c#-to-f#

我在 F# 4.0 中有以下代码

let processEscalation escalationAction (escalationEvents:UpdateCmd.Record list) =
    printf "%A" Environment.NewLine
    printf "Started %A" escalationAction
    escalationEvents
    |> List.iter ( fun x -> 
        printf "%A" Environment.NewLine
        printf "escalation %A for with action: %A" x.incident_id escalationAction
        service.PostAction(new Models.Action(x.incident_id, escalationAction, "escalated")) 
        |> Async.AwaitTask
        |> ignore)


let ComposeEscalation() = 
    let escalationlevels = ["ESC1 REACHED"; "ESC2 REACHED"; "ESC3 REACHED"]
    escalationlevels 
    |> List.map getEscalationEvents
    |> List.iteri (fun i x -> processEscalation escalationlevels.[i] x)
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其中以下行是对返回 Task 的 C# 异步方法的调用

service.PostAction(new Models.Action(x.incident_id, escalationAction, "escalated"))
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compose escalation 方法调用 processEscalation 3 次。但是,第二个调用在第一个调用完成之前开始。如何确保最后一行 list.iteri 等待并按顺序处理它们?也许 processEscalation 应该在异步计算表达式中?

scr*_*wtp 7

是什么Async.AwaitTask做的是,它返回一个Async可用于等待任务完成计算。在你的情况下,你从来没有对它做任何事情,所以循环只会继续下一次迭代。

你想要这样的东西:

service.PostAction(new Models.Action(x.incident_id, escalationAction, "escalated")) 
|> Async.AwaitTask
|> Async.RunSynchronously
|> ignore
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这应该会产生您期望的效果,尽管肯定有更好、更可组合的方式来表达这种逻辑。

编辑:我的意思是这样的,核心Async.Parallel功能的对应物:

module Async = 

    let sequential (asyncs: seq<Async<'t>>) : Async<'t []> = 
        let rec loop acc remaining = 
            async {
                match remaining with
                | [] -> return Array.ofList (List.rev acc)
                | x::xs ->
                    let! res = x
                    return! loop (res::acc) xs
            }
        loop [] (List.ofSeq asyncs)
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然后你可以按照以下方式做一些事情:

escalationEvents
// a collection of asyncs - note that the task won't start until the async is ran
|> List.map (fun x -> 
    async {
        let task = 
            service.PostAction(new Models.Action(x.incident_id, escalationAction, "escalated")) 
        return! Async.AwaitTask task 
    })
// go from a collection of asyncs into an async of a collection
|> Async.sequential
// you don't care about the result, so ignore it
|> Async.Ignore
// now that you have your async, you need to run it in a way that makes sense
// in your context - Async.Start could be another option. 
|> Async.RunSynchronously
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这里的好处是,您不是将所有内容都捆绑到一个循环中,而是将计算拆分为明确界定的阶段。它易于遵循和重构(例如,如果您需要并行处理这些事件,则只需在管道中切换一个步骤)。

  • `RunSynchronously` 在当前线程上执行一个 `async` 块,在你的情况下有效地阻止它(因为你想等待任务完成)。 (2认同)