hledger/site/doc/1.3/csv.md
2017-06-30 20:49:05 +01:00

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# csv format
This doc is for version **1.3**. []{.docversions}
- toc
## NAME
CSV - how hledger reads CSV data, and the CSV rules file format
## DESCRIPTION
hledger can read
[CSV](http://en.wikipedia.org/wiki/Comma-separated_values) files,
converting each CSV record into a journal entry (transaction), if you
provide some conversion hints in a "rules file". This file should be
named like the CSV file with an additional `.rules` suffix (eg:
`mybank.csv.rules`); or, you can specify the file with
`--rules-file PATH`. hledger will create it if necessary, with some
default rules which you'll need to adjust. At minimum, the rules file
must specify the `date` and `amount` fields. For an example, see
[Cookbook: convert CSV files](csv-import.html).
To learn about *exporting* CSV, see [CSV
output](hledger.html#csv-output).
## CSV RULES
The following six kinds of rule can appear in the rules file, in any
order. Blank lines and lines beginning with `#` or `;` are ignored.
### skip
`skip`*`N`*
Skip this number of CSV records at the beginning. You'll need this
whenever your CSV data contains header lines. Eg: <!-- XXX -->
<!-- hledger tries to skip initial CSV header lines automatically. -->
<!-- If it guesses wrong, use this directive to skip exactly N lines. -->
<!-- This can also be used in a conditional block to ignore certain CSV records. -->
``` {.rules}
# ignore the first CSV line
skip 1
```
### date-format
`date-format`*`DATEFMT`*
When your CSV date fields are not formatted like `YYYY/MM/DD` (or
`YYYY-MM-DD` or `YYYY.MM.DD`), you'll need to specify the format.
DATEFMT is a [strptime-like date parsing
pattern](http://hackage.haskell.org/packages/archive/time/latest/doc/html/Data-Time-Format.html#v:formatTime),
which must parse the date field values completely. Examples:
``` {.rules .display-table}
# for dates like "6/11/2013":
date-format %-d/%-m/%Y
```
``` {.rules .display-table}
# for dates like "11/06/2013":
date-format %m/%d/%Y
```
``` {.rules .display-table}
# for dates like "2013-Nov-06":
date-format %Y-%h-%d
```
``` {.rules .display-table}
# for dates like "11/6/2013 11:32 PM":
date-format %-m/%-d/%Y %l:%M %p
```
### field list
`fields`*`FIELDNAME1`*, *`FIELDNAME2`*...
This (a) names the CSV fields, in order (names may not contain
whitespace; uninteresting names may be left blank), and (b) assigns them
to journal entry fields if you use any of these standard field names:
`date`, `date2`, `status`, `code`, `description`, `comment`, `account1`,
`account2`, `amount`, `amount-in`, `amount-out`, `currency`, `balance`.
Eg:
``` {.rules}
# use the 1st, 2nd and 4th CSV fields as the entry's date, description and amount,
# and give the 7th and 8th fields meaningful names for later reference:
#
# CSV field:
# 1 2 3 4 5 6 7 8
# entry field:
fields date, description, , amount, , , somefield, anotherfield
```
### field assignment
*`ENTRYFIELDNAME`* *`FIELDVALUE`*
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
name (`%CSVFIELDNAME`) or 1-based position (`%N`).
<!-- Whitespace before or after the value is ignored. --> Eg:
``` {.rules .display-table}
# set the amount to the 4th CSV field with "USD " prepended
amount USD %4
```
``` {.rules .display-table}
# combine three fields to make a comment (containing two tags)
comment note: %somefield - %anotherfield, date: %1
```
Field assignments can be used instead of or in addition to a field list.
### conditional block
`if` *`PATTERN`*\
    *`FIELDASSIGNMENTS`*...
`if`\
*`PATTERN`*\
*`PATTERN`*...\
    *`FIELDASSIGNMENTS`*...
This applies one or more field assignments, only to those CSV records
matched by one of the PATTERNs. The patterns are case-insensitive
regular expressions which match anywhere within the whole CSV record
(it's not yet possible to match within a specific field). 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:
``` {.rules .display-table}
# if the CSV record contains "groceries", set account2 to "expenses:groceries"
if groceries
account2 expenses:groceries
```
``` {.rules .display-table}
# 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
```
### include
`include`*`RULESFILE`*
Include another rules file at this point. `RULESFILE` is either an
absolute file path or a path relative to the current file's directory.
Eg:
``` {.rules}
# rules reused with several CSV files
include common.rules
```
## CSV TIPS
Each generated journal entry will have two postings, to `account1` and
`account2` respectively. Currently it's not possible to generate entries
with more than two postings.
If the CSV has debit/credit amounts in separate fields, assign to the
`amount-in` and `amount-out` pseudo fields instead of `amount`.
If the CSV has the currency in a separate field, assign that to the
`currency` pseudo field which will be automatically prepended to the
amount. (Or you can do the same thing with a field assignment.)
If the CSV includes a running balance, you can assign that to the
`balance` pseudo field to generate a [balance
assertion](/journal.html#balance-assertions) on `account1` whenever the
balance field is non-empty. (Eg to double-check your bank's balance
calculation.)
If an amount value is parenthesised, it will be de-parenthesised and
sign-flipped automatically.
The generated journal entries will be sorted by date. The original order
of same-day entries will be preserved, usually.
<!-- (by reversing the CSV entries if they seem to be in reverse date order). -->