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