import\
Read new transactions added to each FILE since last run, and add them to
the main journal file. Or with --dry-run, just print the transactions 
that would be added. Or with --catchup, just mark all of the FILEs'
transactions as imported, without actually importing any.

_FLAGS

Unlike other hledger commands, with `import` the journal file is an output file,
and will be modified, though only by appending (existing data will not be changed).
The input files are specified as arguments, so to import one or more
CSV files to your main journal, you will run `hledger import bank.csv`
or perhaps `hledger import *.csv`.

Note you can import from any file format, though CSV files are the
most common import source, and these docs focus on that case.

### Deduplication

As a convenience `import` does *deduplication* while reading transactions.
This does not mean "ignore transactions that look the same",
but rather "ignore transactions that have been seen before".
This is intended for when you are periodically importing foreign data
which may contain already-imported transactions.
So eg, if every day you download bank CSV files containing redundant data,
you can safely run `hledger import bank.csv` and only new transactions will be imported.
(`import` is idempotent.)

Since the items being read (CSV records, eg) often do not come with
unique identifiers, hledger detects new transactions by date, assuming
that:

1. new items always have the newest dates
2. item dates do not change across reads
3. and items with the same date remain in the same relative order across reads.

These are often true of CSV files representing transactions, or true
enough so that it works pretty well in practice. 1 is important, but
violations of 2 and 3 amongst the old transactions won't matter (and
if you import often, the new transactions will be few, so less likely
to be the ones affected).

hledger remembers the latest date processed in each input file by
saving a hidden ".latest" state file in the same directory. Eg when
reading `finance/bank.csv`, it will look for and update the
`finance/.latest.bank.csv` state file. 
The format is simple: one or more lines containing the
same ISO-format date (YYYY-MM-DD), meaning "I have processed
transactions up to this date, and this many of them on that date."
Normally you won't see or manipulate these state files yourself.
But if needed, you can delete them to reset the state (making all
transactions "new"), or you can construct them to "catch up" to a
certain date. 

Note deduplication (and updating of state files) can also be done by
[`print --new`](#print), but this is less often used.

### Import testing

With `--dry-run`, the transactions that will be imported are printed
to the terminal, without updating your journal or state files.
The output is valid journal format, like the print command, so you can re-parse it.
Eg, to see any importable transactions which CSV rules have not categorised:

```shell
$ hledger import --dry bank.csv | hledger -f- -I print unknown
```

or (live updating):

```shell
$ ls bank.csv* | entr bash -c 'echo ====; hledger import --dry bank.csv | hledger -f- -I print unknown'
```

### Importing balance assignments

Entries added by import will have their posting amounts made explicit (like `hledger print -x`).
This means that any [balance assignments](https://hledger.org/hledger.html#balance-assignments) in imported files must be evaluated;
but, imported files don't get to see the main file's account balances.
As a result, importing entries with balance assignments
(eg from an institution that provides only balances and not posting amounts)
will probably generate incorrect posting amounts.
To avoid this problem, use print instead of import:

```shell
$ hledger print IMPORTFILE [--new] >> $LEDGER_FILE
```

(If you think import should leave amounts implicit like print does,
please test it and send a pull request.)

### Commodity display styles

Imported amounts will be formatted according to the canonical [commodity styles](hledger.html#commodity-display-style)
(declared or inferred) in the main journal file.
