hledger/site/doc/1.2/csv.md

# csv format

This doc is for version **1.2**. []{.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 [How to
read CSV files](how-to-read-csv-files.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`. 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
```

## 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 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). -->