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这是我的代码来提取 xml 文件，对其进行解析，然后将解析的 xml 文件附加到名为 new_df 的数据框中。我注意到 new_df 是空的。它不应为空。我无法弄清楚，任何想法都非常感谢。

library(RODBC)
library(XML)
setInternet2(TRUE)
options(timeout=200)

agentlist<-c(45693,42627,42483,42432,40187)
slotlist<-c(1135863,1145649,1135859,1135844)

for (i in 1:length(agentlist)) {
    for(j in 1:length(slotlist)) {
      if(slotlist[j]==1135863) {
        for (k in 1:8){
              url1<-c("http://api.keynote.com/keynote/api/getgraphdata?api_key=<key>&&slotidlist=")
              url<-paste0(url1, slotlist[j])
             url2<-c("&graphtype=time&timemode=relative&relativehours=432000&timezone=est&bucket=300&averagemethod=GM&transpagelist=")
        url<-paste0(url, url2)
        url<-paste0(url, slotlist[j])
        url<-paste(url, k, sep=':')
        url3<-c("&pagecomponent=u&format=xml&agentlist=")
        url<-paste0(url, url3)
        url<-paste0(url, agentlist[i])
        tryCatch({
            download.file(url, destfile='test1.xml')
            xml_file <- xmlParse("test1.xml")    # Parse the XML
            xml_file <- xmlToList(xml_file)   

            xml_file <- xml_file[names(xml_file) == "measurement"]
            xml_file <- lapply(xml_file, function(x) x[grep("alias|bucket", names(x))])

            xml_file <- lapply(xml_file, function(x) {
            alias <- x$alias
            buckets <- t(sapply(x$bucket_data, unlist))
            cbind("alias" = alias, buckets)
        })

        xml_file <- do.call("rbind", xml_file)

        xml_file <- data.frame(xml_file, stringsAsFactors = FALSE)

        x<-xml_file[,c(1,3,7,9)]
        colnames(x)<-c("SITE", "AVAIL_PERCENT", "RESPONSE_TIME", "DATE_TIME")
        x<-x[,c("DATE_TIME", "SITE", "RESPONSE_TIME", "AVAIL_PERCENT")]
                     x$AGENT<-c(agentlist[i])

        temp<-rbind(x, temp)
        },error = function(e) {
        print("unable to download the url")
        })
        }
        new_df<-temp 
                     print(new_df) ###empty data frame




     }else if(slotlist[j]==1145649){
        temp<-data.frame(DATE_TIME=as.POSIXct(character()), SITE=character(), RESPONSE_TIME=as.numeric(character()), AVAIL_PERCENT=as.numeric(character()), AGENT=as.numeric(character()))
        for(l in 1:6) {
            url1<-c("http://api.keynote.com/keynote/api/getgraphdata?api_key=<key>&&slotidlist=")
            url<-paste0(url1, slotlist[j])
            url2<-c("&graphtype=time&timemode=relative&relativehours=432000&timezone=est&bucket=300&averagemethod=GM&transpagelist=")
            url<-paste0(url, url2)
            url<-paste0(url, slotlist[j])
            url<-paste(url, l, sep=':')
            url3<-c("&pagecomponent=u&format=xml&agentlist=")
            url<-paste0(url, url3)
            url<-paste0(url, agentlist[i])
            tryCatch({
                    download.file(url, destfile='test1.xml')

                    xml_file <- xmlParse("test1.xml")    # Parse the XML
                    xml_file <- xmlToList(xml_file)   

                    xml_file <- xml_file[names(xml_file) == "measurement"]
                    xml_file <- lapply(xml_file, function(x) x[grep("alias|bucket", names(x))])

                    xml_file <- lapply(xml_file, function(x) {
                      alias <- x$alias
                      buckets <- t(sapply(x$bucket_data, unlist))
                      cbind("alias" = alias, buckets)
                    })

                    xml_file <- do.call("rbind", xml_file)

                    xml_file <- data.frame(xml_file, stringsAsFactors = FALSE)

                    x<-xml_file[,c(1,3,7,9)]
                    colnames(x)<-c("SITE", "AVAIL_PERCENT", "RESPONSE_TIME", "DATE_TIME")
                    x<-x[,c("DATE_TIME", "SITE", "RESPONSE_TIME", "AVAIL_PERCENT")]

                    #x$Site<-gsub('.*\\-(.*)\\-.*', '\\1', x$Site)

                    #x$DateTime<-gsub("AM", "", x$DateTime)
                    #x$DateTime<-gsub("PM", "", x$DateTime)
                    x$DATE_TIME<-as.POSIXct(x$DATE_TIME, format="%Y-%B-%d %H:%M")
                    #x$Response_Time<-as.numeric(x$Response_Time)
                    #x$Avail_Percent<-as.numeric(x$Avail_Percent)
                    x$AGENT<-c(agentlist[i])
                    temp<-rbind(x, temp)
                },error = function(e) {
                    print("unable to download the url")
            })      
        }
        new_df<-temp
                     print(new_df) ### empty data frame

    }
}
}

我注意到 new_df 数据框是空的。它不应为空。有任何想法吗？

4

1 回答 1

2

您应该在小函数中重构代码，以便分别测试它们并获得更清晰的代码。然后你应该使用一个函数来避免你在循环xxapply中得到的副作用（全局变量交互） 。for例如，这是我会做的：

  1. 创建url的函数
  2. 解析url并创建data.frame的函数
  3. 调用前两个函数的函数...

生成网址：

create.URL <- function (slot, agent,i) {
  url1 <- c("http://api.keynote.com/keynote/api/getgraphdata?api_key=<key>&&slotidlist=")
  url <- paste0(url1, slot)
  url2 <- c(paste0("&graphtype=time&timemode=relative&relativehours=",
            "432000&timezone=est&bucket=300&averagemethod=GM&transpagelist="))
  url <- paste0(url, url2)
  url <- paste0(url, slot)
  url <- paste(url, i, sep=':')
  url3 <- c("&pagecomponent=u&format=xml&agentlist=")
  url <- paste0(url, url3)
  url <- paste0(url, agent)
  url
}

解析文件：

parse.URL <- function(url,agent,coerceDate=FALSE){
  download.file(url, destfile='test1.xml')
  xml_file <- xmlParse("test1.xml")    # Parse the XML
  xml_file <- xmlToList(xml_file)   

  xml_file <- xml_file[names(xml_file) == "measurement"]
  xml_file <- lapply(xml_file, function(x) x[grep("alias|bucket", names(x))])

  xml_file <- lapply(xml_file, function(x) {
    alias <- x$alias
    buckets <- t(sapply(x$bucket_data, unlist))
    cbind("alias" = alias, buckets)
  })

  xml_file <- do.call("rbind", xml_file)

  xml_file <- data.frame(xml_file, stringsAsFactors = FALSE)

  x<-xml_file[,c(1,3,7,9)]
  colnames(x)<-c("SITE", "AVAIL_PERCENT", "RESPONSE_TIME", "DATE_TIME")
  x<-x[,c("DATE_TIME", "SITE", "RESPONSE_TIME", "AVAIL_PERCENT")]
  if(coerceDate)
    x$DATE_TIME <- as.POSIXct(x$DATE_TIME, format="%Y-%B-%d %H:%M")

  x$AGENT <- agent
  x
}

调用前面的 2 个函数：

creat.dat <- function(agent,slot){
  res <- NULL
  if(slot==1135863) {
    res <- lapply(1:8,function(k){
      url <- create.URL(solt,agent,k)
      x <- parse.URL(url,agent)
      x
    })
  }else if(slot==1145649){
    res <- lapply(1:6,function(l){
      url <- create.URL(slot,agent,l)
      x <- parse.URL(url,agent,coerceDate=TRUE)
      x
    })
  }
  res
}

最后调用 all this ，您可以使用mapply来替换 2 个for循环：

mapply(creat.dat,agentlist,slotlist)
于 2013-05-28T17:43:13.290 回答