JSON
The data importer generates an import file each time you import data. You can download the configuration file during or after the import.
You can use it to quickly configure your import the way you want to.
Pre-made import configurations
There's a repository on GitHub with import configurations for common banks and financial institutions.
You can store pre-made configuration files in the data importer. This can be useful if you import regularly.
- Store the files in
storage/configurations
- Mount a local directory to the
/var/www/html/storage/configurations
directory in Docker. - Change the
JSON_CONFIGURATION_DIR
to any custom directory (mount it if you want to), and place them there.
With Docker:
docker run [..] -v /home/user/configurations:/configurations [..] -e JSON_CONFIGURATION_DIR=/configurations
This will show a dropdown with your JSON files ready to be selected:
Example file
This is a typical configuration file with all options:
{
"date": "Ymd",
"default_account": 49,
"delimiter": "comma",
"headers": true,
"rules": true,
"skip_form": false,
"add_import_tag": true,
"specifics": [
"AppendHash"
],
"roles": [
"date_transaction",
"description",
"amount",
"account-name",
"opposing-name",
"note"
],
"do_mapping": {
"3": true,
"4": true,
"0": false,
"1": false,
"2": false,
"5": false
},
"mapping": {
"3": {
"Savings Account": 3
},
"4": {
"Savings Account": 3
}
},
"duplicate_detection_method": "classic",
"ignore_duplicate_lines": false,
"ignore_duplicate_transactions": true,
"unique_column_index": 1,
"unique_column_type": "external-id",
"version": 3,
"flow": "csv",
"identifier": "123456",
"connection": "789543",
"ignore_spectre_categories": false,
"map_all_data": false,
"accounts": [
],
"date_range": "all",
"date_range_number": 30,
"date_range_unit": "d",
"date_not_before": "2021-01-01",
"date_not_after": "2021-06-01",
"nordigen_country": "NL",
"nordigen_bank": "ABN_AMRO_XY",
"nordigen_requisitions": [],
"conversion": true
}
Fields and values
date
Sets the date format of the date entries in the CSV file. If your file contains internationalized dates, you can prefix the date format with your country code, like it:
or nl:
. Then, enter your date format.
Read more about the format in the PHP documentation.
Here are some examples:
Ymd
. Will convert20210318
F/j/Y
. Will convertJanuary/17/2021
nl:d F Y
. Will convert Dutch date5 mei 2021
default_account
The ID of the default asset accounts into which transactions will be imported if there's no source account. This is some time useful when files just list the transactions and the destination, nothing more.
delimiter
The delimiter of the entries in the CSV files. Most files use "comma", but you can also use "semicolon" or "tab".
headers
True or false if the CSV file has headers, a top row that explains what each column is for.
rules
Whether to apply your rules to the import. It is useful to run your rules after the import, although it will significantly slow down the import. The execution of rules can be slow when you have a lot of them.
skip_form
If checked, next time you use the importer it will skip the configuration form. You can always go back to the form when using the user interface.
specifics
"Specifics" are the bank specific scripts that can be applied to your import. They are deprecated and may be removed in a future version of the CSV importer. You can read more about them on the page about import configuration.
roles
Each column in your CSV file gets a single role. This array in the JSON file indicates the role for each column. The user interface shows you all the possible roles, but you can also read the code to learn which roles are available.
Below is a list of possible roles:
role | description |
---|---|
_ignore | (ignore this column) |
account-bic | Asset account (BIC) |
account-iban | Asset account (IBAN) |
account-id | Asset account ID (matching FF3) |
account-name | Asset account (name) |
account-number | Asset account (account number) |
amount | Amount |
amount_credit | Amount (credit column) |
amount_debit | Amount (debit column) |
amount_foreign | Amount (in foreign currency) |
amount_negated | Amount (negated column) |
bill-id | Bill ID (matching FF3) |
bill-name | Bill name |
budget-id | Budget ID (matching FF3) |
budget-name | Budget name |
category-id | Category ID (matching FF3) |
category-name | Category name |
currency-code | Currency code (ISO 4217) |
currency-id | Currency ID (matching FF3) |
currency-name | Currency name (matching FF3) |
currency-symbol | Currency symbol (matching FF3) |
date_book | Transaction booking date |
date_due | Transaction due date |
date_interest | Interest calculation date |
date_invoice | Transaction invoice date |
date_payment | Transaction payment date |
date_process | Transaction process date |
date_transaction | Date |
description | Description |
external-id | External ID |
external-url | External URL |
foreign-currency-code | Foreign currency code (ISO 4217) |
generic-debit-credit | Generic bank debit/credit indicator |
ing-debit-credit | ING specific debit/credit indicator |
internal_reference | Internal reference |
note | Note(s) |
opposing-bic | Opposing account (BIC) |
opposing-iban | Opposing account (IBAN) |
opposing-id | Opposing account ID (matching FF3) |
opposing-name | Opposing account (name) |
opposing-number | Opposing account (account number) |
rabo-debit-credit | Rabobank specific debit/credit indicator |
sepa_batch_id | SEPA Batch ID |
sepa_cc | SEPA Clearing Code |
sepa_ci | SEPA Creditor Identifier |
sepa_country | SEPA Country Code |
sepa_ct_id | SEPA end-to-end Identifier |
sepa_ct_op | SEPA Opposing Account Identifier |
sepa_db | SEPA Mandate Identifier |
sepa_ep | SEPA External Purpose |
tags-comma | Tags (comma separated) |
tags-space | Tags (space separated) |
do_mapping
Whether these columns should be 'mapped' to data in your Firefly III installation. Mapping is a process where values in your CSV file will always point in a specific value in your Firefly III installation. For each column, it will tell the CSV importer if it should use the mapping in the next array. In the user interface, this is indicated by little check boxes after each column.
Here are some examples:
{
"do_mapping": [
true,
true,
false
]
}
Column 0 and column 1 should be mapped, and column 2 should not. Keep in mind that the array counts from 0, so in your CSV file this would indicate: map the first two columns but don't map the third column.
In some JSON files, the order of true
and false
gets mixed up, which is why you'll see something like this:
{
"do_mapping": {
"0": true,
"2": false,
"1": true
}
}
What you see here is the same thing as the previous example. Map the first two columns, don't map the last one.
mapping
The mapping. The value in quotes is what's found in the CSV file. The numeric ID links to the object in your Firefly III installation. Here are some examples:
{
"0": {
"Groceries": 3,
"Grozeries": 3,
"Bills": 2,
"Going out": 21
}
}
The 0 in this example refers to the first column, because we count from zero. In this example, if column 0
contains either Groceries
or the misspelled variant the CSV importer should link to a category with ID #3. From the mapping array alone you can't tell that I'm talking about columns. This is something you can find or set in the roles
array.
Another example:
{
"4": {
"NL21INGB9861487085": 15,
"NL35ABNA6289099205": 23,
"289099205": 23
}
}
This example maps the account numbers in column #4 to account ID's in Firefly III.
You can configure a mapping for any column, but not all roles allow themselves to be mapped. For example, you can't map the "transaction amount". If you try, it will be ignored.
duplicate_detection_method
The CSV importer has three methods to detect duplicate transactions. The import configuration page has all the details. The JSON file reflects your choices.
none
. Do no duplicate detection.classic
. Do content-based duplicate detection.cell
. Do identifier-based duplicate detection.
Again, to learn more about these options, read about import configuration.
ignore_duplicate_lines
Regardless of the choice of duplicate detection, you should leave this on true
, so duplicated lines in your CSV files will be removed.
ignore_duplicate_transactions
This variable is not really used anymore, but it's an indicator of which duplicate_detection_method
you're using. For classic
, it will always be true
. Otherwise, it's false
.
unique_column_index
This contains the column number that contains the unique value for the duplicate detection. It's only ever used when you use the cell
-method, which stands for identifier-based duplicate detection. Read more about import configuration.
unique_column_type
This contains the field type of the unique identifier. It's only ever used when you use the cell
-method, which stands for identifier-based duplicate detection. Read more about import configuration.
version
The version should always be "3" so the importer knows how to parse your file.
add_import_tag
If set to true, the import will the same tag to all transactions in the import.
flow
Determines what is in your import. csv
, spectre
or nordigen
identifier
Spectre only, and contains the bank identifier.
connection
Spectre only, and contains the bank connection.
ignore_spectre_categories
Spectre only. Set to true, this will make the importer ignore Spectre's suggested categories.
map_all_data
Spectre and Nordigen only. Is an indication if you wish to map data.
accounts
Spectre and Nordigen only. A list of accounts from your provider that you wish to import, and into which Firefly III account you want to import.
date_range
Spectre and Nordigen only. What date range to import from your provider.
all
: Import everythingpartial
: Go backdate_range_number
units ofdate_range_unit
(see below)range
: Import a specific range
date_range_unit
Spectre and Nordigen only. d
for days, w
for weeks, m
for months, y
for years. Used only if date_range is partial.
date_range_number
Spectre and Nordigen only. Number of days/weeks/months/years to go back. Used only if date_range is partial.
date_not_before
Spectre and Nordigen only. Used only if date_range is range
. Will not import from dates before the set date.
date_not_after
Spectre and Nordigen only. Used only if date_range is range
. Will not import from dates after the set date.
nordigen_country
Nordigen only. The country of the bank you selected to import from.
nordigen_bank
Nordigen only. The bank you selected to import from.
nordigen_requisitions
Nordigen only. A list of valid "requisitions" (permissions to import) from your bank.
conversion
CSV only. If the importer should attempt to convert the file to UTF-8.