使用Regex和split（tidyr）分隔R中的列

Question

这就是我希望能够做到的。
https://regex101.com/r/KchccA/1

我想匹配=和）之间的任何字符，同时还要考虑是否有一个空的捕获组，因为我希望每行填充所有字段。

行示例：在此示例中，Address4，County和Contact name为空。 您还可以查看某些值有误/不正确。 还有一些初始/结束文本，我也需要删除。

x <- "Please enter an UT location before booking the order.. ADDRESS_VALIDATION_FAILED (SITE_TYPE=uct) (SITE_USE_ID=1000) (CUSTOMER_NAME=cname) (CUSTOMER_NUMBER=2000) (ADDRESS1=addy1) (ADDRESS2=addy2) (ADDRESS3=addy3) (ADDRESS4=) (CITY=.) (STATE=) (ZIP=0000) (COUNTY=) (COUNTRY=NO) (CONTACT_NAME=) The task is raised for line_number: 7"

但是，在R中，当我尝试使用tidyr的单独方法时，最终会出现不良结果。 我不逃避吗？

这是我的代码：

df.sub <- separate(data = main.data, col = Order.Task.Text.CCW, into = c("SITE_TYPE", "SITE_USE_ID", "CUSTOMER_NAME","CUSTOMER_NUMBER", "ADDRESS1", "ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "STATE", "ZIP", "COUNTY", "COUNTRY", "CONTACT_NAME"), sep = "=([^\\)]+|())\\)")

结果示例：

   SITE_TYPE    SITE_USE_ID   CUSTOMER_NAME      CUSTOMER_NUMBER       
1  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
2  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
3  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER
4  (SITE_TYPE    (SITE_USE_ID    (CUSTOMER_NAME  (CUSTOMER_NUMBER

---

最终解决方案

这是我的最终解决方案，适用于任何好奇的人，其正确答案的格式易于查看。

p <- proto(
 pre = function(.) .$k <- 0,
 fun = function(., x) {
 if (x == "(") .$k <- .$k + 1 else if (x == ")") .$k <- .$k - 1
 if (x == "(" && .$k == 1) "" else if (x == ")" && .$k == 0) "\n" else x
})
df.sub.final <- df.sub$text %>%
sub("^[^\\(]*\\(", "(", .) %>% 
sub("\\)[^\\)]*$", ")", .) %>% 
gsub("\n", "", .) %>%
gsub("=", ": ", .) %>%
gsubfn("([\\(\\)]) *", p, .) %>%
textConnection %>%
read.dcf %>%
as.data.frame(.)

Answer 1

关于有效输入是什么，似乎存在一些不确定性。 以下是基于不同假设的几种不同答案。 全部将输入转换为dcf形式（即名称：值），然后使用read.dcf 。

！）圆括号。

转换为dcf格式（即名称：值）。

我们可以使用gsubfn处理圆括号。 首先创建一个原型对象，其pre函数将计数器k初始化为零，然后对于与(或)的每次匹配，函数fun输入它，然后递增或递减k输出适当的替换字符。 有关更多信息，请参见gsubfn软件包插图。

现在从x开始，用开头替换垃圾，用：替换=，并加一个空格，然后运行gsubfn匹配（或），然后运行带有我们定义的原型对象的可选空格。 最后，使用read.dcf读取转换后的文本。

library(gsubfn)
library(magrittr)

p <- proto(
 pre = function(.) .$k <- 0,
 fun = function(., x) {
  if (x == "(") .$k <- .$k + 1 else if (x == ")") .$k <- .$k - 1
  if (x == "(" && .$k == 1) "" else if (x == ")" && .$k == 0) "\n" else x
})

x %>%
  sub("^.*?\\(", "(", .) %>%
  gsub("=", ": ", .) %>%
  gsubfn("([\\(\\)]) *", p, .) %>%
  textConnection %>%
  read.dcf

2）嵌套括号中没有相邻的空格

x <- "(SITE_TYPE=Site1) (SITE_USE_ID=2000) (CUSTOMER_NAME=cname) (CUSTOMER_NUMBER=11111) (ADDRESS1=addy1) (ADDRESS2=addy2) (ADDRESS3=addy3) (ADDRESS4=) (CITY=.) (STATE=) (ZIP=0000) (COUNTY=) (COUNTRY=NO) (CONTACT_NAME=)"


library(magrittr)

x %>%
  paste0(" ") %>%
  sub("^.*?\\(", "", .) %>%
  gsub(" +\\(", " ", .) %>%
  gsub("=", ": ", .) %>%
  gsub("\\) ", "\n", .) %>%
  textConnection %>%
  read.dcf

给予：

     SITE_TYPE SITE_USE_ID CUSTOMER_NAME CUSTOMER_NUMBER ADDRESS1 ADDRESS2
[1,] "Site1"   "2000"      "cname"       "11111"         "addy1"  "addy2" 
     ADDRESS3 ADDRESS4 CITY STATE ZIP    COUNTY COUNTRY CONTACT_NAME
[1,] "addy3"  ""       "."  ""    "0000" ""     "NO"    ""     

3）固定关键字在左括号后面。

为此，内括号可以不平衡，但是外括号后总是cn中的关键字之一。

x <- "ADDRESS_VALIDATION_FAILED (SITE_TYPE=site1) (SITE_USE_ID=200) (CUSTOMER_NAME=abc) (CUSTOMER_NUMBER=1000) (ADDRESS1=issue here (some more text) (ADDRESS2=) (ADDRESS3=) (ADDRESS4=) (CITY=city, ) (STATE=na) (ZIP=250) (COUNTY=) (COUNTRY=NA) (CONTACT_NAME=)"

cn <- c("SITE_TYPE", "SITE_USE_ID", "CUSTOMER_NAME", "CUSTOMER_NUMBER", 
"ADDRESS1", "ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "STATE", 
"ZIP", "COUNTY", "COUNTRY", "CONTACT_NAME")
rx <- sprintf(".(%s)", paste(cn, collapse = "|"))

x %>%
  sub("^.*?\\(", "(", .) %>%
  gsub("=", ": ", .) %>%
  gsub(rx, "\n\\1", .) %>%
  gsub("\\) *\\n", "\n", .) %>%
  sub("\\)$", "", .) %>%
  textConnection %>%
  read.dcf

给予：

     SITE_TYPE SITE_USE_ID CUSTOMER_NAME CUSTOMER_NUMBER
[1,] "site1"   "200"       "abc"         "1000"         
     ADDRESS1                     ADDRESS2 ADDRESS3 ADDRESS4 CITY    STATE
[1,] "issue here (some more text" ""       ""       ""       "city," "na" 
     ZIP   COUNTY COUNTRY CONTACT_NAME
[1,] "250" ""     "NA"    ""          

注意

可复制形式的输入为：