这是我希望能够做到的 https://regex101.com/r/KchccA/1
我希望匹配中间=和之间的任何字符,同时还要考虑是否存在空捕获组,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名称为null。您还可以看到一些错误/不正确的值。 还需要删除一些初始/结束文本。
ss:sp
然而在R中,当我尝试使用tidyr的单独方法时,我最终得到了不良结果。我没有逃脱它吗?
以下是我的代码:
push/call
结果示例:
sp
这是我对任何好奇的人的最终解决方案,基于正确的答案格式化以便于查看。
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"
答案 0 :(得分:2)
有效输入似乎存在一些不确定性。以下是基于不同假设的几个不同答案。所有都将输入转换为dcf格式(即name:value),然后使用read.dcf
。
转换为dcf格式(即名称:值)。
我们可以使用gsubfn
处理平衡括号。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(
或)
的每个匹配,函数fun
输入并增加或减少k输出适当的替换字符。有关详细信息,请参阅gsubfn包装插图。
现在从x
开始替换开头的垃圾,替换= with:和一个空格然后运行gsubfn
匹配(或),然后用我们定义的proto对象运行可选空格。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 == ")" && .$k == 0) "\n" else x
})
x %>%
sub("^.*?\\(", "(", .) %>%
gsub("=", ": ", .) %>%
gsubfn("([\\(\\)]) *", p, .) %>%
textConnection %>%
read.dcf
x <- "(SITE_TYPE=Site1) (SITE_USE_ID=2000) (CUSTOMER_NAME=cname) (CUSTOMER_NUMBER=11111) (ADDRESS1=addy1) (ADDRESS2=addy2) (ADDRESS3=addy3) (ADDRESS4=) (CITY=.) (STATE=) (ZIP=0000) (COUNTY=) (COUNTRY=NO) (CONTACT_NAME=)"
library(magrittr)
x %>%
paste0(" ") %>%
sub("^.*?\\(", "", .) %>%
gsub(" +\\(", " ", .) %>%
gsub("=", ": ", .) %>%
gsub("\\) ", "\n", .) %>%
textConnection %>%
read.dcf
,并提供:
SITE_TYPE SITE_USE_ID CUSTOMER_NAME CUSTOMER_NUMBER ADDRESS1 ADDRESS2
[1,] "Site1" "2000" "cname" "11111" "addy1" "addy2"
ADDRESS3 ADDRESS4 CITY STATE ZIP COUNTY COUNTRY CONTACT_NAME
[1,] "addy3" "" "." "" "0000" "" "NO" ""
对于这一个,内括号可能是不平衡的,但外括号后面总是跟着cn
中的一个关键字。
x <- "ADDRESS_VALIDATION_FAILED (SITE_TYPE=site1) (SITE_USE_ID=200) (CUSTOMER_NAME=abc) (CUSTOMER_NUMBER=1000) (ADDRESS1=issue here (some more text) (ADDRESS2=) (ADDRESS3=) (ADDRESS4=) (CITY=city, ) (STATE=na) (ZIP=250) (COUNTY=) (COUNTRY=NA) (CONTACT_NAME=)"
cn <- c("SITE_TYPE", "SITE_USE_ID", "CUSTOMER_NAME", "CUSTOMER_NUMBER",
"ADDRESS1", "ADDRESS2", "ADDRESS3", "ADDRESS4", "CITY", "STATE",
"ZIP", "COUNTY", "COUNTRY", "CONTACT_NAME")
rx <- sprintf(".(%s)", paste(cn, collapse = "|"))
x %>%
sub("^.*?\\(", "(", .) %>%
gsub("=", ": ", .) %>%
gsub(rx, "\n\\1", .) %>%
gsub("\\) *\\n", "\n", .) %>%
sub("\\)$", "", .) %>%
textConnection %>%
read.dcf
,并提供:
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" ""
可重复形式的输入是: