I am working on a string-transforming problem. The requirement is like this:
line: {INSERT INTO `pub_company` VALUES ('1', '0', 'ABC大学', 'B', 'admin', '2014-10-09 11:40:44', '', '105210', null)}
==>
line: {INSERT INTO `pub_company` VALUES ('1', '0', 'ABC大学', 'B', 'admin', to_date('2014-10-09 11:40:44', 'yyyy-mm-dd hh24:mi:ss'), '', '105210', null)}
Note: the '2014-10-09 11:40:44' is transformed to to_date('2014-10-09 11:40:44', 'yyyy-mm-dd hh24:mi:ss').
My code looks like below:
date: use [digit][
digit: charset "0123456789"
[4 digit "-" 2 digit "-" 2 digit space 2 digit ":" 2 digit ":" 2 digit]
]
parse line [ to date to end]
but I got this error:
** Script error: PARSE - invalid rule or usage of rule: digit
** Where: parse do either either either -apply-
** Near: parse line [to date to end]
I have made some tests:
probe parse "SSS 2016-01-01 00:00:00" [thru 3 "S" space date to end] ;true
probe parse "SSS 2016-01-01 00:00:00" [ to date to end] ; the error above
As the position of date value is not the same in all my data set, how can I reach it and match it and make the corresponding change?
I did as below:
line: {INSERT INTO `pub_company` VALUES ('1', '0', 'ABC大学', 'B', 'admin', '2014-10-09 11:40:44', '', '105210', null)}
d: [2 digit]
parse/all line [some [p1: {'} 4 digit "-" d "-" d " " d ":" d ":" d {'} p2: (insert p2 ")" insert p1 "to_date(" ) | skip]]
>> {INSERT INTO `pub_company` VALUES ('1', '0', 'ABC??', 'B', 'admin', to_date('2014-10-09 11:40:44'), '', '105210', null)}