IBrokers reqMktData，如何在回调函数中添加超时？

我一直在使用来自 IBrokers 软件包的修改后的快照功能来从 IB 获取“最后”价格，并且它对于流动性股票非常有效。 我打的电话是例如。

reqMktData(tws, twsSTK("AAPL"), eventWrapper=eWrapper.data.Last(1),CALLBACK=snapShot)

当试图收回流动性非常差的股票或期权时，就会出现问题。因此，我需要为快照功能添加超时。如何以及在哪里添加超时？

带有快照功能的代码：

library(IBrokers)
tws <- twsConnect()

eWrapper.data.Last <- function(n) {
  eW <- eWrapper(NULL)  # use basic template
  eW$assign.Data("data", rep(list(structure(.xts(matrix(rep(NA_real_,2),nc=2),0),
                                      .Dimnames=list(NULL,c("LastSize","Last")))),n))

  eW$tickPrice <- function(curMsg, msg, timestamp, file, ...) 
  {
    tickType = msg[3]
    msg <- as.numeric(msg)
    id <- msg[2] #as.numeric(msg[2])
    data <- eW$get.Data("data") #[[1]]  # list position of symbol (by id == msg[2])
    attr(data[[id]],"index") <- as.numeric(Sys.time())
    nr.data <- NROW(data[[id]])
    if(tickType == .twsTickType$LAST) {
      data[[id]][nr.data,2] <- msg[4]
    }
    eW$assign.Data("data", data)
    c(curMsg, msg)
  }
  eW$tickSize  <- function(curMsg, msg, timestamp, file, ...) 
  { 
    data <- eW$get.Data("data")
    tickType = msg[3]
    msg <- as.numeric(msg)
    id <- as.numeric(msg[2])
    attr(data[[id]],"index") <- as.numeric(Sys.time())
    nr.data <- NROW(data[[id]])
    if(tickType == .twsTickType$LAST_SIZE) {
      data[[id]][nr.data,1] <- msg[4]
    } 
    eW$assign.Data("data", data)
    c(curMsg, msg)
  }
  return(eW)
}

snapShot <- function (twsCon, eWrapper, timestamp, file, playback = 1, ...)
{
   if (missing(eWrapper))
       eWrapper <- eWrapper()
   names(eWrapper$.Data$data) <- eWrapper$.Data$symbols
   con <- twsCon[[1]]
   if (inherits(twsCon, "twsPlayback")) {
       sys.time <- NULL
       while (TRUE) {
           if (!is.null(timestamp)) {
               last.time <- sys.time
               sys.time <- as.POSIXct(strptime(paste(readBin(con,
                 character(), 2), collapse = " "), timestamp))
               if (!is.null(last.time)) {
                 Sys.sleep((sys.time - last.time) * playback)
               }
               curMsg <- .Internal(readBin(con, "character",
                 1L, NA_integer_, TRUE, FALSE))
               if (length(curMsg) < 1)
                 next
               processMsg(curMsg, con, eWrapper, format(sys.time,
                 timestamp), file, ...)
           }
           else {
               curMsg <- readBin(con, character(), 1)
               if (length(curMsg) < 1)
                 next
               processMsg(curMsg, con, eWrapper, timestamp,
                 file, ...)
               if (curMsg == .twsIncomingMSG$REAL_TIME_BARS)
                 Sys.sleep(5 * playback)
           }
       }
   }
   else {
       while (TRUE) {
           socketSelect(list(con), FALSE, NULL)
           curMsg <- .Internal(readBin(con, "character", 1L,
               NA_integer_, TRUE, FALSE))
           if (!is.null(timestamp)) {
               processMsg(curMsg, con, eWrapper, format(Sys.time(),
                 timestamp), file, ...)
           }
           else {
               processMsg(curMsg, con, eWrapper, timestamp,
                 file, ...)
           }
           if (!any(sapply(eWrapper$.Data$data, is.na)))
               return(do.call(rbind, lapply(eWrapper$.Data$data,
                 as.data.frame)))
       }
   }
}

您可以使用evalWithTimeout来自R.utils http://cran.r-project.org/package=R.utils。我没有测试过，但我很确定包装evalWithTimeout围绕 while 循环将实现您所追求的目标。

library(R.utils)

evalWithTimeout(
   while (TRUE) {
       socketSelect(list(con), FALSE, NULL)
       curMsg <- .Internal(readBin(con, "character", 1L,
           NA_integer_, TRUE, FALSE))
       if (!is.null(timestamp)) {
           processMsg(curMsg, con, eWrapper, format(Sys.time(),
             timestamp), file, ...)
       }
       else {
           processMsg(curMsg, con, eWrapper, timestamp,
             file, ...)
       }
       if (!any(sapply(eWrapper$.Data$data, is.na)))
           return(do.call(rbind, lapply(eWrapper$.Data$data,
             as.data.frame)))
   }, timeout=5, onTimeout="warning")