hledger/hledger-lib/hledger_csv.txt
Simon Michael 7ecc42f142 ;doc: regen manuals
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2019-11-06 13:15:17 -08:00

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hledger_csv(5) hledger User Manuals hledger_csv(5)
NAME
CSV - how hledger reads CSV data, and the CSV rules file format
DESCRIPTION
hledger can read CSV (comma-separated value) files as if they were
journal files, automatically converting each CSV record into a transac-
tion. (To learn about writing CSV, see CSV output.)
Converting CSV to transactions requires some special conversion rules.
These do several things:
o they describe the layout and format of the CSV data
o they can customize the generated journal entries (transactions) using
a simple templating language
o they can add refinements based on patterns in the CSV data, eg cate-
gorizing transactions with more detailed account names.
When reading a CSV file named FILE.csv, hledger looks for a conversion
rules file named FILE.csv.rules in the same directory. You can over-
ride this with the --rules-file option. If the rules file does not ex-
ist, hledger will auto-create one with some example rules, which you'll
need to adjust.
At minimum, the rules file must identify the date and amount fields.
It's often necessary to specify the date format, and the number of
header lines to skip, also. Eg:
fields date, _, _, amount
date-format %d/%m/%Y
skip 1
More examples in the EXAMPLES section below.
CSV RULES
The following kinds of rule can appear in the rules file, in any order
(except for end which can appear only inside a conditional block).
Blank lines and lines beginning with # or ; are ignored.
skip
skip N
The word "skip" followed by a number (or no number, meaning 1) tells
hledger to ignore this many non-empty lines preceding the CSV data.
(Empty/blank lines are skipped automatically.) You'll need this when-
ever your CSV data contains header lines.
It also has a second purpose: it can be used to ignore certain CSV
records, see conditional blocks below.
fields
fields FIELDNAME1, FIELDNAME2, ...
A fields list ("fields" followed by one or more comma-separated field
names) is the quick way to assign CSV field values to hledger fields.
It (a) names the CSV fields, in order (names may not contain white-
space; fields you don't care about can be left unnamed), and (b) as-
signs them to hledger fields if you use standard hledger field names.
Here's an example:
# use the 1st, 2nd and 4th CSV fields as the transaction's date, description and amount,
# ignore the 3rd, 5th and 6th fields,
# and name the 7th and 8th fields for later reference:
# 1 2 3 4 5 6 7 8
fields date, description, , amount1, , , somefield, anotherfield
Here are the standard hledger field names:
Transaction fields
date, date2, status, code, description, comment can be used to form the
transaction's first line. Only date is required. (See also date-for-
mat below.)
Posting fields
accountN, where N is 1 to 9, sets the Nth posting's account name. Most
often there are two postings, so you'll want to set account1 and ac-
count2.
A number of field/pseudo-field names are available for setting posting
amounts:
o amountN sets posting N's amount
o amountN-in and amountN-out can be used instead, if the CSV has sepa-
rate fields for debits and credits
o currencyN sets a currency symbol to be left-prefixed to the amount,
useful if the CSV provides that as a separate field
o balanceN sets a (separate) balance assertion amount (or when no post-
ing amount is set, a balance assignment)
If you write these with no number (amount, amount-in, amount-out, cur-
rency, balance), it means posting 1. Also, if you set an amount for
posting 1 only, a second posting that balances the transaction will be
generated automatically. This helps support CSV rules created before
hledger 1.16.
Finally, commentN sets a comment on the Nth posting. Comments can of
course contain tags.
(field assignment)
HLEDGERFIELDNAME FIELDVALUE
Instead of or in addition to a fields list, you can assign a value to a
hledger field by writing its name (any of the standard names above)
followed by a text value. The value may contain interpolated CSV
fields, referenced by their 1-based position in the CSV record (%N), or
by the name they were given in the fields list (%CSVFIELDNAME). Eg:
# set the amount to the 4th CSV field, with " USD" appended
amount %4 USD
# combine three fields to make a comment, containing note: and date: tags
comment note: %somefield - %anotherfield, date: %1
Interpolation strips any outer whitespace, so a CSV value like " 1 "
becomes 1 when interpolated (#1051). Note you can only interpolate CSV
fields, not the hledger fields being assigned to; for more on this, see
TIPS.
date-format
date-format DATEFMT
This is a helper for the date (and date2) fields. If your CSV dates
are not formatted like YYYY-MM-DD, YYYY/MM/DD or YYYY.MM.DD, you'll
need to specify the format by writing "date-format" followed by a strp-
time-like date parsing pattern, which must parse the date field values
completely. Examples:
# for dates like "11/06/2013":
date-format %m/%d/%Y
# for dates like "6/11/2013". The - allows leading zeros to be optional.
date-format %-d/%-m/%Y
# for dates like "2013-Nov-06":
date-format %Y-%h-%d
# for dates like "11/6/2013 11:32 PM":
date-format %-m/%-d/%Y %l:%M %p
if
if PATTERN
RULE
if
PATTERN
PATTERN
PATTERN
RULE
RULE
Conditional blocks apply one or more rules to CSV records which are
matched by any of the PATTERNs. This allows transactions to be cus-
tomised or categorised based on patterns in the data.
A single pattern can be written on the same line as the "if"; or multi-
ple patterns can be written on the following lines, non-indented.
Patterns are case-insensitive regular expressions which try to match
any part of the whole CSV record. It's not yet possible to match
within a specific field. Note the CSV record they see is close but not
identical to the one in the CSV file; eg double quotes are removed, and
the separator character becomes comma.
After the patterns, there should be one or more rules to apply, all in-
dented by at least one space. Three kinds of rule are allowed in con-
ditional blocks:
o field assignments (to set a field's value)
o skip (to skip the matched CSV record)
o end (to skip all remaining CSV records).
Examples:
# if the CSV record contains "groceries", set account2 to "expenses:groceries"
if groceries
account2 expenses:groceries
# if the CSV record contains any of these patterns, set account2 and comment as shown
if
monthly service fee
atm transaction fee
banking thru software
account2 expenses:business:banking
comment XXX deductible ? check it
end
As mentioned above, this rule can be used inside conditional blocks
(only) to cause hledger to stop reading CSV records and proceed with
command execution. Eg:
# ignore everything following the first empty record
if ,,,,
end
include
include RULESFILE
Include another CSV rules file at this point, as if it were written in-
line. RULESFILE is an absolute file path or a path relative to the
current file's directory.
This can be useful eg for reusing common rules in several rules files:
# someaccount.csv.rules
## someaccount-specific rules
fields date,description,amount
account1 some:account
account2 some:misc
## common rules
include categorisation.rules
newest-first
hledger always sorts the generated transactions by date. Transactions
on the same date should appear in the same order as their CSV records,
as hledger can usually auto-detect whether the CSV's normal order is
oldest first or newest first. But if all of the following are true:
o the CSV might sometimes contain just one day of data (all records
having the same date)
o the CSV records are normally in reverse chronological order (newest
first)
o and you care about preserving the order of same-day transactions
you should add the newest-first rule as a hint. Eg:
# tell hledger explicitly that the CSV is normally newest-first
newest-first
EXAMPLES
A more complete example, generating three-posting transactions:
# hledger CSV rules for amazon.com order history
# sample:
# "Date","Type","To/From","Name","Status","Amount","Fees","Transaction ID"
# "Jul 29, 2012","Payment","To","Adapteva, Inc.","Completed","$25.00","$0.00","17LA58JSK6PRD4HDGLNJQPI1PB9N8DKPVHL"
# skip one header line
skip 1
# name the csv fields (and assign the transaction's date, amount and code)
fields date, _, toorfrom, name, amzstatus, amount1, fees, code
# how to parse the date
date-format %b %-d, %Y
# combine two fields to make the description
description %toorfrom %name
# save these fields as tags
comment status:%amzstatus
# set the base account for all transactions
account1 assets:amazon
# flip the sign on the amount
amount -%amount
# Put fees in a separate posting
amount3 %fees
comment3 fees
For more examples, see Convert CSV files.
TIPS
Reading multiple CSV files
You can read multiple CSV files at once using multiple -f arguments on
the command line. hledger will look for a correspondingly-named rules
file for each CSV file. If you use the --rules-file option, that rules
file will be used for all the CSV files.
Deduplicating, importing
When you download a CSV file repeatedly, eg to get your latest bank
transactions, the new file may contain some of the same records as the
old one. The print --new command is one simple way to detect just the
new transactions. Or better still, the import command appends those
new transactions to your main journal. This is the easiest way to im-
port CSV data. Eg, after downloading your latest CSV files:
$ hledger import *.csv [--dry]
Other import methods
A number of other tools and workflows, hledger-specific and otherwise,
exist for converting, deduplicating, classifying and managing CSV data.
See:
o https://hledger.org -> sidebar -> real world setups
o https://plaintextaccounting.org -> data import/conversion
Valid CSV
hledger accepts CSV conforming to RFC 4180. Some things to note when
values are enclosed in quotes:
o you must use double quotes (not single quotes)
o spaces outside the quotes are not allowed
Other separator characters
With the --separator 'CHAR' option, hledger will expect the separator
to be CHAR instead of a comma. Ie it will read other "Character Sepa-
rated Values" formats, such as TSV (Tab Separated Values). Note: on
the command line, use a real tab character in quotes, not Eg:
$ hledger -f foo.tsv --separator ' ' print
(Experimental.)
Setting amounts
A posting amount can be set in one of these ways:
o by assigning (with a fields list or field assigment) to amountN
(posting N's amount) or amount (posting 1's amount)
o by assigning to amountN-in and amountN-out (or amount-in and amount-
out). For each CSV record, whichever of these has a non-zero value
will be used, with appropriate sign. If both contain a non-zero
value, this may not work.
o by assigning to balanceN (or balance) instead of the above, setting
the amount indirectly via a balance assignment.
There is some special handling for sign in amounts:
o If an amount value is parenthesised, it will be de-parenthesised and
sign-flipped.
o If an amount value begins with a double minus sign, those cancel out
and are removed.
If the currency/commodity symbol is provided as a separate CSV field,
you can assign it to currency (affects all posting amounts) or curren-
cyN (affects just posting N's amount). The symbol will be prepended to
the amount. Or for more control, you can set both currency symbol and
amount with a field assignment, eg:
fields date,description,currency,amount
# add currency symbol on the right:
amount %amount %currency
Referencing other fields
In field assignments, you can interpolate only CSV fields, not hledger
fields. In the example below, there's both a CSV field and a hledger
field named amount1, but %amount1 always means the CSV field, not the
hledger field:
# Name the third CSV field "amount1"
fields date,description,amount1
# Set hledger's amount1 to the CSV amount1 field followed by USD
amount1 %amount1 USD
# Set comment to the CSV amount1 (not the amount1 assigned above)
comment %amount1
Here, since there's no CSV amount1 field, %amount1 will produce a lit-
eral "amount1":
fields date,description,csvamount
amount1 %csvamount USD
# Can't interpolate amount1 here
comment %amount1
When there are multiple field assignments to the same hledger field,
only the last one takes effect. Here, comment's value will be be B, or
C if "something" is matched, but never A:
comment A
comment B
if something
comment C
How CSV rules are evaluated
Here's how to think of CSV rules being evaluated (if you really need
to). First,
o include - all includes are inlined, from top to bottom, depth first.
(At each include point the file is inlined and scanned for further
includes, before proceeding.)
Then "global" rules are evaluated, top to bottom. If a rule is re-
peated, the last one wins:
o skip (at top level)
o date-format
o newest-first
o fields - names the CSV fields, optionally sets up initial assignments
to hledger fields
Then for each CSV record in turn:
o test all if blocks. If any of them contain a end rule, skip all re-
maining CSV records. Otherwise if any of them contain a skip rule,
skip that many CSV records. If there are multiple matched skip
rules, the first one wins.
o collect all field assignments at top level and in matched if blocks.
When there are multiple assignments for a field, keep only the last
one.
o compute a value for each hledger field - either the one that was as-
signed to it (and interpolate the %CSVFIELDNAME references), or a de-
fault
o generate a synthetic hledger transaction from these values, which be-
comes part of the input to the hledger command that has been selected
Valid transactions
hledger currently does not post-process and validate transactions gen-
erated from CSV as thoroughly as transactions read from a journal file.
This means that if your rules are wrong, you can generate invalid
transactions. Or, amounts may not be displayed with a canonical dis-
play style.
So when setting up or adjusting CSV rules, you should check your re-
sults visually with the print command. You can pipe print's output
through hledger once more to validate and canonicalise fully. Eg:
$ hledger -f some.csv print | hledger -f- print -I
(The -I/--ignore-assertions flag disables balance assertion checks,
usually needed when re-parsing print output.)
REPORTING BUGS
Report bugs at http://bugs.hledger.org (or on the #hledger IRC channel
or hledger mail list)
AUTHORS
Simon Michael <simon@joyful.com> and contributors
COPYRIGHT
Copyright (C) 2007-2019 Simon Michael.
Released under GNU GPL v3 or later.
SEE ALSO
hledger(1), hledger-ui(1), hledger-web(1), hledger-api(1),
hledger_csv(5), hledger_journal(5), hledger_timeclock(5), hledger_time-
dot(5), ledger(1)
http://hledger.org
hledger 1.15.99 September 2019 hledger_csv(5)