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;csv: clarify that whitespace is not stripped when matching

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Simon Michael 2020-05-09 15:43:44 -07:00
parent 3919f0945a
commit 6b2dfad98c
2 changed files with 15 additions and 8 deletions
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14
hledger-lib/Hledger/Read/CsvReader.hs
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@ -1075,12 +1075,16 @@ getEffectiveAssignment rules record f = lastMay $ map snd $ assignments
where
-- does this individual matcher match the current csv record ?
matcherMatches :: Matcher -> Bool
matcherMatches (RecordMatcher pat) = regexMatchesCI pat wholecsvline
matcherMatches (RecordMatcher pat) = regexMatchesCI pat' wholecsvline
where
-- a synthetic whole CSV record to match against; note, it has
-- no quotes enclosing fields, and is always comma-separated,
-- so may differ from the actual record, and may not be valid CSV.
wholecsvline = dbg3 "wholecsvline" $ intercalate "," record
pat' = dbg3 "regex" pat
-- A synthetic whole CSV record to match against. Note, this can be
-- different from the original CSV data:
-- - any whitespace surrounding field values is preserved
-- - any quotes enclosing field values are removed
-- - and the field separator is always comma
-- which means that a field containing a comma will look like two fields.
wholecsvline = dbg3 "wholecsvline" $ intercalate "," record -- $ map strip record ?
matcherMatches (FieldMatcher csvfieldref pat) = regexMatchesCI pat csvfieldvalue
where
-- the value of the referenced CSV field to match against.

9
hledger-lib/hledger_csv.m4.md
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@ -545,9 +545,12 @@ REGEX
REGEX is a case-insensitive regular expression which tries to match anywhere within the CSV record.
It is a POSIX extended regular expressions with some additions (see
[Regular expressions](https://hledger.org/hledger.html#regular-expressions) in the hledger manual).
Note: the "CSV record" it is matched against is not the original record, but a synthetic one,
with enclosing double quotes or whitespace removed, and always comma-separated.
(Eg, an SSV record `2020-01-01; "Acme, Inc."; 1,000` appears to REGEX as `2020-01-01,Acme, Inc.,1,000`).
Important note: the record that is matched is not the original record, but a synthetic one,
with any enclosing double quotes (but not enclosing whitespace) removed, and always comma-separated
(which means that a field containing a comma will appear like two fields).
Eg, if the original record is `2020-01-01; "Acme, Inc."; 1,000`,
the REGEX will actually see `2020-01-01,Acme, Inc., 1,000`).
Or, MATCHER can be a field matcher, like this:
```rules