labtxt_todf <- function(x){
options(stringsAsFactors = FALSE)
for (i in 1:length(x)) {
if (i==1) DF=NULL
txt.i=strsplit(x[i],';')[[1]]
txt.i
series_id=sub(".*:","",txt.i[1])
txt.j=txt.i[3]
txt.j=do::Replace(txt.j,"[0-9]{4}-[0-9]{2}-[0-9]{2}",'thisisforsplit')
txt.j2=unlist(strsplit(txt.j,',{0,}thisisforsplit,{0,}'))
txt.j3=txt.j2[nchar(txt.j2) != 0]
date=unlist(stringr::str_extract_all(
pattern = "[0-9]{4}-[0-9]{2}-[0-9]{2}",
string = txt.i[3]))
for (j in 1:length(date)) {
if (j==1) df.3col=NULL
#skip in some condition
dd.j=txt.j3[j]
if (length(do::`%s=%`(tmcn::toUTF8('\u5C3F\u6C89\u6E23\u5B9A\u91CF\u68C0\u6D4B'),
dd.j)[[1]]) !=0) next(j)
dd.j=do::Replace0(data = dd.j,
from = tmcn::toUTF8('\u4E2A\u4F53\u5316\u7528\u836F\u5EFA\u8BAE.*'))
dd.j=strsplit(x = dd.j,split = ',')[[1]]
line1df=to.df_1line(x = dd.j,split = ' ')
line1df
df.3col.j=cbind(series_id=series_id,
date=date[j],line1df)
df.3col=plyr::rbind.fill(data.frame(df.3col,check.names = FALSE),
data.frame(df.3col.j))
}
DF=plyr::rbind.fill(DF,df.3col)
}
DF
}
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