hledger/hledger-lib/hledger_csv.5

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.TH "hledger_csv" "5" "March 2019" "hledger 1.14.99" "hledger User Manuals"
.SH NAME
.PP
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CSV - how hledger reads CSV data, and the CSV rules file format
.SH DESCRIPTION
.PP
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hledger can read CSV (comma-separated value) files as if they were
journal files, automatically converting each CSV record into a
transaction.
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(To learn about \f[I]writing\f[R] CSV, see CSV output.)
.PP
Converting CSV to transactions requires some special conversion rules.
These do several things:
.IP \[bu] 2
they describe the layout and format of the CSV data
.IP \[bu] 2
they can customize the generated journal entries using a simple
templating language
.IP \[bu] 2
they can add refinements based on patterns in the CSV data, eg
categorizing transactions with more detailed account names.
.PP
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When reading a CSV file named \f[C]FILE.csv\f[R], hledger looks for a
conversion rules file named \f[C]FILE.csv.rules\f[R] in the same
directory.
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You can override this with the \f[C]--rules-file\f[R] option.
If the rules file does not exist, hledger will auto-create one with some
example rules, which you\[aq]ll need to adjust.
.PP
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At minimum, the rules file must identify the date and amount fields.
It\[aq]s often necessary to specify the date format, and the number of
header lines to skip, also.
Eg:
.IP
.nf
\f[C]
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fields date, _, _, amount
date-format %d/%m/%Y
skip 1
\f[R]
.fi
.PP
A more complete example:
.IP
.nf
\f[C]
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# hledger CSV rules for amazon.com order history
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# sample:
# \[dq]Date\[dq],\[dq]Type\[dq],\[dq]To/From\[dq],\[dq]Name\[dq],\[dq]Status\[dq],\[dq]Amount\[dq],\[dq]Fees\[dq],\[dq]Transaction ID\[dq]
# \[dq]Jul 29, 2012\[dq],\[dq]Payment\[dq],\[dq]To\[dq],\[dq]Adapteva, Inc.\[dq],\[dq]Completed\[dq],\[dq]$25.00\[dq],\[dq]$0.00\[dq],\[dq]17LA58JSK6PRD4HDGLNJQPI1PB9N8DKPVHL\[dq]
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# skip one header line
skip 1
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# name the csv fields (and assign the transaction\[aq]s date, amount and code)
fields date, _, toorfrom, name, amzstatus, amount, fees, code
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# how to parse the date
date-format %b %-d, %Y
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# combine two fields to make the description
description %toorfrom %name
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# save these fields as tags
comment status:%amzstatus, fees:%fees
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# set the base account for all transactions
account1 assets:amazon
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# flip the sign on the amount
amount -%amount
\f[R]
.fi
.PP
For more examples, see Convert CSV files.
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.SH CSV RULES
.PP
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The following seven kinds of rule can appear in the rules file, in any
order.
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Blank lines and lines beginning with \f[C]#\f[R] or \f[C];\f[R] are
ignored.
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.SS skip
.PP
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\f[C]skip\f[R]\f[I]\f[CI]N\f[I]\f[R]
.PP
Skip this number of CSV records at the beginning.
You\[aq]ll need this whenever your CSV data contains header lines.
Eg:
.IP
.nf
\f[C]
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# ignore the first CSV line
skip 1
\f[R]
.fi
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.SS date-format
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.PP
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\f[C]date-format\f[R]\f[I]\f[CI]DATEFMT\f[I]\f[R]
.PP
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When your CSV date fields are not formatted like \f[C]YYYY/MM/DD\f[R]
(or \f[C]YYYY-MM-DD\f[R] or \f[C]YYYY.MM.DD\f[R]), you\[aq]ll need to
specify the format.
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DATEFMT is a strptime-like date parsing pattern, which must parse the
date field values completely.
Examples:
.IP
.nf
\f[C]
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# for dates like \[dq]11/06/2013\[dq]:
date-format %m/%d/%Y
\f[R]
.fi
.IP
.nf
\f[C]
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# for dates like \[dq]6/11/2013\[dq] (note the - to make leading zeros optional):
date-format %-d/%-m/%Y
\f[R]
.fi
.IP
.nf
\f[C]
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# for dates like \[dq]2013-Nov-06\[dq]:
date-format %Y-%h-%d
\f[R]
.fi
.IP
.nf
\f[C]
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# for dates like \[dq]11/6/2013 11:32 PM\[dq]:
date-format %-m/%-d/%Y %l:%M %p
\f[R]
.fi
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.SS field list
.PP
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\f[C]fields\f[R]\f[I]\f[CI]FIELDNAME1\f[I]\f[R],
\f[I]\f[CI]FIELDNAME2\f[I]\f[R]...
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.PP
This (a) names the CSV fields, in order (names may not contain
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whitespace; uninteresting names may be left blank), and (b) assigns them
to journal entry fields if you use any of these standard field names:
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\f[C]date\f[R], \f[C]date2\f[R], \f[C]status\f[R], \f[C]code\f[R],
\f[C]description\f[R], \f[C]comment\f[R], \f[C]account1\f[R],
\f[C]account2\f[R], \f[C]amount\f[R], \f[C]amount-in\f[R],
\f[C]amount-out\f[R], \f[C]currency\f[R], \f[C]balance\f[R],
\f[C]balance1\f[R], \f[C]balance2\f[R].
Eg:
.IP
.nf
\f[C]
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# use the 1st, 2nd and 4th CSV fields as the entry\[aq]s date, description and amount,
# and give the 7th and 8th fields meaningful names for later reference:
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#
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# CSV field:
# 1 2 3 4 5 6 7 8
# entry field:
fields date, description, , amount, , , somefield, anotherfield
\f[R]
.fi
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.SS field assignment
.PP
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\f[I]\f[CI]ENTRYFIELDNAME\f[I]\f[R] \f[I]\f[CI]FIELDVALUE\f[I]\f[R]
.PP
This sets a journal entry field (one of the standard names above) to the
given text value, which can include CSV field values interpolated by
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name (\f[C]%CSVFIELDNAME\f[R]) or 1-based position (\f[C]%N\f[R]).
Eg:
.IP
.nf
\f[C]
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# set the amount to the 4th CSV field with \[dq]USD \[dq] prepended
amount USD %4
\f[R]
.fi
.IP
.nf
\f[C]
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# combine three fields to make a comment (containing two tags)
comment note: %somefield - %anotherfield, date: %1
\f[R]
.fi
.PP
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Field assignments can be used instead of or in addition to a field list.
.SS conditional block
.PP
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\f[C]if\f[R] \f[I]\f[CI]PATTERN\f[I]\f[R]
.PD 0
.P
.PD
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\ \ \ \ \f[I]\f[CI]FIELDASSIGNMENTS\f[I]\f[R]...
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.PP
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\f[C]if\f[R]
.PD 0
.P
.PD
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\f[I]\f[CI]PATTERN\f[I]\f[R]
.PD 0
.P
.PD
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\f[I]\f[CI]PATTERN\f[I]\f[R]...
.PD 0
.P
.PD
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\ \ \ \ \f[I]\f[CI]FIELDASSIGNMENTS\f[I]\f[R]...
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.PP
This applies one or more field assignments, only to those CSV records
matched by one of the PATTERNs.
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The patterns are case-insensitive regular expressions which match
anywhere within the whole CSV record (it\[aq]s not yet possible to match
within a specific field).
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When there are multiple patterns they can be written on separate lines,
unindented.
The field assignments are on separate lines indented by at least one
space.
Examples:
.IP
.nf
\f[C]
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# if the CSV record contains \[dq]groceries\[dq], set account2 to \[dq]expenses:groceries\[dq]
if groceries
account2 expenses:groceries
\f[R]
.fi
.IP
.nf
\f[C]
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# if the CSV record contains any of these patterns, set account2 and comment as shown
if
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monthly service fee
atm transaction fee
banking thru software
account2 expenses:business:banking
comment XXX deductible ? check it
\f[R]
.fi
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.SS include
.PP
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\f[C]include\f[R]\f[I]\f[CI]RULESFILE\f[I]\f[R]
.PP
Include another rules file at this point.
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\f[C]RULESFILE\f[R] is either an absolute file path or a path relative
to the current file\[aq]s directory.
Eg:
.IP
.nf
\f[C]
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# rules reused with several CSV files
include common.rules
\f[R]
.fi
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.SS newest-first
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.PP
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\f[C]newest-first\f[R]
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.PP
Consider adding this rule if all of the following are true: you might be
processing just one day of data, your CSV records are in reverse
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chronological order (newest first), and you care about preserving the
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order of same-day transactions.
It usually isn\[aq]t needed, because hledger autodetects the CSV order,
but when all CSV records have the same date it will assume they are
oldest first.
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.SH CSV TIPS
.SS CSV ordering
.PP
The generated journal entries will be sorted by date.
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The order of same-day entries will be preserved (except in the special
case where you might need \f[C]newest-first\f[R], see above).
.SS CSV accounts
.PP
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Each journal entry will have two postings, to \f[C]account1\f[R] and
\f[C]account2\f[R] respectively.
It\[aq]s not yet possible to generate entries with more than two
postings.
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It\[aq]s conventional and recommended to use \f[C]account1\f[R] for the
account whose CSV we are reading.
.SS CSV amounts
.PP
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A transaction amount must be set, in one of these ways:
.IP \[bu] 2
with an \f[C]amount\f[R] field assignment, which sets the first
posting\[aq]s amount
.IP \[bu] 2
(When the CSV has debit and credit amounts in separate fields:)
.PD 0
.P
.PD
with field assignments for the \f[C]amount-in\f[R] and
\f[C]amount-out\f[R] pseudo fields (both of them).
Whichever one has a value will be used, with appropriate sign.
If both contain a value, it might not work so well.
.IP \[bu] 2
or implicitly by means of a balance assignment (see below).
.PP
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There is some special handling for sign in amounts:
.IP \[bu] 2
If an amount value is parenthesised, it will be de-parenthesised and
sign-flipped.
.IP \[bu] 2
If an amount value begins with a double minus sign, those will cancel
out and be removed.
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.PP
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If the currency/commodity symbol is provided as a separate CSV field,
assign it to the \f[C]currency\f[R] pseudo field; the symbol will be
prepended to the amount (TODO: when there is an amount).
Or, you can use an \f[C]amount\f[R] field assignment for more control,
eg:
.IP
.nf
\f[C]
fields date,description,currency,amount
amount %amount %currency
\f[R]
.fi
.SS CSV balance assertions/assignments
.PP
If the CSV includes a running balance, you can assign that to one of the
pseudo fields \f[C]balance\f[R] (or \f[C]balance1\f[R]) or
\f[C]balance2\f[R].
This will generate a balance assertion (or if the amount is left empty,
a balance assignment), on the first or second posting, whenever the
running balance field is non-empty.
(TODO: #1000)
.SS Reading multiple CSV files
.PP
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You can read multiple CSV files at once using multiple \f[C]-f\f[R]
arguments on the command line, and hledger will look for a
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correspondingly-named rules file for each.
Note if you use the \f[C]--rules-file\f[R] option, this one rules file
will be used for all the CSV files being read.
.SH "REPORTING BUGS"
Report bugs at http://bugs.hledger.org
(or on the #hledger IRC channel or hledger mail list)
.SH AUTHORS
Simon Michael <simon@joyful.com> and contributors
.SH COPYRIGHT
Copyright (C) 2007-2016 Simon Michael.
.br
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Released under GNU GPL v3 or later.
.SH SEE ALSO
hledger(1), hledger\-ui(1), hledger\-web(1), hledger\-api(1),
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hledger_csv(5), hledger_journal(5), hledger_timeclock(5), hledger_timedot(5),
ledger(1)
http://hledger.org