import random
import string
import csv
from ntropy_sdk import SDK, Transaction
from io import StringIO
import pandas as pd
transactions = """description amount iso_currency_code
Aktywna Warszawa S 21.07 PLN
Crv*Ww Beauty Lukasz Mich 18.83 PLN
Bolt.Eu/R/2207180715 96.34 EUR
Purchase from AMZN 3.64 EUR
## DEPOSIT 95.77 EUR
CARD TRANSACTION #69420 74.05 EUR
>> ^0_o^ << 64.97 EUR
Crypto.com: Allegro.pl gift card purchase 74.7 EUR
Paypal help ukraine donate 68.76 EUR
OPENPAY*CERVEZASIEMPRE CIUDAD DE MEXIC 26.47 USD
PAYPAL INST XFER MICROSOFT ACH_DEBIT 4.9 USD
Paypal *xsolla mtgarena 70.35 USD
M10GRAPHIC CA venture capital call 27.71 USD
Compra Cart Elo Estacao Imperial Ltd 52.88 USD
PIERRE CARD IN 79.28 USD
twitch blizzard overwatch Mr Streamer 45.76 USD
Dep Transf Bdn Maria Jose Resende 46.07 USD
AMZN Mktp US AWS 85.94 USD
LATE FEE FOR PAYMENT DUE transbank 86.89 USD
ntropy api pmnt 1.84 USD"""
def df_from_csv(transactions=None):
csv = StringIO()
csv.seek(0)
df = pd.read_csv(csv, sep='\t')
txs = []
account_name = generate_random_string() #smjesti funk generate random string u objekt account name
for i, row in df.iterrows():
tx = {
"date": "2022-01-01",
"entry_type": "outgoing",
"amount": row['amount'],
"iso_currency_code": row["iso_currency_code"],
"description": row["description"],
"transaction_id": f"id_{i}_{generate_random_string()}",
"account_holder_type": "consumer",
"account_holder_id": account_name,
}
txs.append(tx)
return pd.DataFrame(txs)
...
So, ath the end , I get :EmptyDataError: No columns to parse from file
What im i doing wrong? I was expecting to get result with transactions in rows as object, or