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Preview

POST
/import/csv/preview
curl --request POST \
--url https://example.com/import/csv/preview \
--header 'Content-Type: application/json' \
--data '{ "account_map": { "additionalProperty": "example" }, "account_options": {}, "column_map": { "additionalProperty": "example" }, "content": "example", "date_format": "mdy" }'

DB-aware, read-only CSV mapping preview — identical contract to QIF’s. A layout that can’t be auto-detected returns 422 with a csv_layout_unrecognized code + the header columns for the mapping UI.

Media typeapplication/json
CsvPreviewRequest
object
account_map
Any of:
object
key
additional properties
Any of:
string
account_options
Account Options
object
key
additional properties
AccountOptions

Per-file-account import knobs. cutoff: import only rows strictly older than this date (null = import everything). invert: flip every amount.

object
cutoff
Any of:
string format: date
invert
Invert
boolean
column_map
Any of:
object
key
additional properties
string
content
required
Content
string
date_format
Date Format
string
default: mdy

Successful Response

Media typeapplication/json
ImportPreviewResponse
object
accounts
required
Accounts
Array<object>
ImportPreviewAccount
object
counts
required
ImportCounts

Per-file-account disposition of rows (DESIGN §7.2). The preview counts for a request equal the commit’s per-account results for the same request. in_file is the sum of the other buckets, uncleared excepted; skipped_scheduled counts Quicken reminder rows (not history, never imported); skipped_investment counts QIF !Type:Invst records (investment actions, never bank rows; decision 84); promoted counts rows that posted an expected row an earlier import left, because the file now marks them cleared (per leg for a transfer); uncleared is the subset of the created rows that land expected because the file marks them uncleared (decision 60). split_transfers (QIF S[Account] lines carved out of split rows as transfers) and split_remainders (split rows whose lines left part of the amount unexplained, booked to the uncategorized placeholder) are sub-counts too (decision 87).

object
in_file
required
In File
integer
one_leg_transfers
required
One Leg Transfers
integer
opening_balances
required
Opening Balances
integer
promoted
required
Promoted
integer
skipped_cutoff
required
Skipped Cutoff
integer
skipped_dedup
required
Skipped Dedup
integer
skipped_investment
required
Skipped Investment
integer
skipped_scheduled
required
Skipped Scheduled
integer
skipped_unmapped
required
Skipped Unmapped
integer
skipped_zero_amount
required
Skipped Zero Amount
integer
split_remainders
required
Split Remainders
integer
split_transfers
required
Split Transfers
integer
transfers
required
Transfers
integer
uncleared
required
Uncleared
integer
would_import
required
Would Import
integer
default_cutoff
required
Any of:
string
mapped
required
Any of:
MappedAccount
object
id
required
Id
string
path
required
Path
string
type
required
Type
string
name
required
Name
string
sign
required
SignDiagnostic

Sign diagnostic over non-transfer rows (raw amounts). Monetary fields are strings — money is never a float. suspect drives the invert pre-check.

object
negative
required
Negative
string
net
required
Net
string
positive
required
Positive
string
suspect
required
Suspect
boolean
transactions
required
Transactions
integer
type
required
Type
string
categories
required
Categories
Array<string>
date_range
required
ImportDateRange
object
end
required
Any of:
string
start
required
Any of:
string
total_transactions
required
Total Transactions
integer

Example generated

{
"accounts": [
{
"counts": {
"in_file": 1,
"one_leg_transfers": 1,
"opening_balances": 1,
"promoted": 1,
"skipped_cutoff": 1,
"skipped_dedup": 1,
"skipped_investment": 1,
"skipped_scheduled": 1,
"skipped_unmapped": 1,
"skipped_zero_amount": 1,
"split_remainders": 1,
"split_transfers": 1,
"transfers": 1,
"uncleared": 1,
"would_import": 1
},
"default_cutoff": "example",
"mapped": {
"id": "example",
"path": "example",
"type": "example"
},
"name": "example",
"sign": {
"negative": "example",
"net": "example",
"positive": "example",
"suspect": true
},
"transactions": 1,
"type": "example"
}
],
"categories": [
"example"
],
"date_range": {
"end": "example",
"start": "example"
},
"total_transactions": 1
}

Validation Error

Media typeapplication/json
HTTPValidationError
object
detail
Detail
Array<object>
ValidationError
object
ctx
Context
object
input
Input
loc
required
Location
Array
msg
required
Message
string
type
required
Error Type
string

Example generated

{
"detail": [
{
"ctx": {},
"input": "example",
"loc": [
"example"
],
"msg": "example",
"type": "example"
}
]
}