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;bin:simplefincsv: reorder fields, move ids to the end

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Simon Michael 2025-08-28 12:21:06 +01:00
parent f2d2135ed8
commit 605444923e
1 changed files with 11 additions and 11 deletions
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22
bin/simplefincsv
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@ -10,9 +10,9 @@ Read SimpleFIN /accounts JSON from JSONFILE or stdin, and for each account with
or just the ones where "ORGNAME ACCTNAME ACCTID" is case-insensitively infix-matched
by the given regular expression, print CSV records to stdout:
1. an account info record: "account",ORGNAME,ACCTNAME,ACCTID,BALANCE,CURRENCY
2. a field headings record: "date","amount","description","payee","memo","id"
3. any transaction records, in date order.
1. an account info record: "account",BALANCE,ORGNAME,ACCTNAME,CURRENCY,ACCTID
2. a field headings record: "date","amount","payee","description","memo","id"
3. the transaction records, in date order.
Excess whitespace (more than single spaces) will be trimmed.
Also, if the JSON includes error messages, they will be displayed on stderr,
@ -76,30 +76,30 @@ def main():
if ts:
w.writerow([
"account",
a['balance'],
oname,
aname,
a['currency'],
aid,
a['balance'],
clean(a['currency'])
])
w.writerow([
"date",
"id",
"amount",
"description",
"payee",
"memo"
"description",
"memo",
"id",
])
for t in reversed(a['transactions']):
dt = datetime.datetime.fromtimestamp(t['posted'])
# dtl = dt.astimezone()
w.writerow([
dt.strftime('%Y-%m-%d'), # %H:%M:%S %Z'),
t['id'],
t['amount'],
clean(t['description']),
clean(t['payee']),
clean(t['memo'])
clean(t['description']),
clean(t['memo']),
t['id'],
])
errors = j['errors']