therbron/ghostfolio-nordnet-importer
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

feat(parsing): Parse columns via names

Browse Source
This commit is contained in:
Tanguy Herbron 2024-07-20 18:42:19 +02:00
parent eb50a1920d
commit e3505a9d76
1 changed files with 31 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

49
main.py
View File

@ -1,5 +1,7 @@
import csv import csv
import json import json
import pandas as pd
import re
from datetime import datetime from datetime import datetime
from argparse import ArgumentParser from argparse import ArgumentParser
@ -11,6 +13,8 @@ parser.add_argument("-o", "--output", dest="output_filename",
args = parser.parse_args() args = parser.parse_args()
dividend_expression_re = re.compile(r'(\d+\.?\d*?) ([A-Z]{3})')
NORDNET_ACCOUNT_ID="cae3d45f-53bc-4dee-83a4-4448b409f8b2" NORDNET_ACCOUNT_ID="cae3d45f-53bc-4dee-83a4-4448b409f8b2"
format = "%Y-%m-%d" format = "%Y-%m-%d"
@ -22,42 +26,41 @@ data = {
splits = { splits = {
"NOVO B": { "NOVO B": {
"2023-09-20 00:00:00 UTC": 0.5 "2023-09-20 00:00:00 UTC": 0.5
},
"NVDA": {
"2024-06-10 00:00:00 UTC": 0.1
} }
} }
symbol_translations = { symbol_translations = {
"NOVO B": "NOVO-B.CO", "NOVO B": "NOVO-B.CO",
"XZEC": "XZEC.DE" "NOVO B.OLD": "NOVO-B.CO",
"Xtrackers MSCI Eur CDisc ESG Scr ETF 1C": "XZEC.DE"
} }
#print("Date", "Code", "DataSource", "Currency", "Price", "Quantity", "Action", "Fee", "account", sep=',')
# Date, Code, DataSource, Currency, Price, Quantity, Action, Free, Note # Date, Code, DataSource, Currency, Price, Quantity, Action, Free, Note
with open(args.input_filename, newline='') as csvfile: with open(args.input_filename, newline='', encoding="utf16") as csvfile:
reader = csv.reader(csvfile, delimiter='\t', quotechar='|') df = pd.read_csv(csvfile, sep='\t', encoding='utf16', index_col=0)
for row in reader:
if row[5] in ("INDBETALING", "HÆVNING", "INDSÆTTELSE", "AFKASTSKAT ASK", "MAKULERING AFKASTSKAT ASK", "Transaktionstype", ""):
continue
for index, row in df.iterrows():
date = None date = None
t_type = None t_type = None
price = 0 price = 0
try: try:
date = datetime.strptime(row[2], format) date = datetime.strptime(row['Handelsdag'], format)
except ValueError: except ValueError:
data = None data = None
print("Failed parsing date") print("Failed parsing date")
price = row[10].replace('.', '') price = str(row['Kurs']).replace('.', '')
price = price.replace(',', '.') price = price.replace(',', '.')
quantity = row[9] quantity = row['Antal']
fee = row[27] fee = float(str(row['Samlede afgifter']).replace(',', '.'))
symbol = row[6] symbol = row['Værdipapirer']
currency = row[17] currency = row['Valuta.3']
match row[5]: match row['Transaktionstype']:
case "KØBT": case "KØBT":
t_type = "BUY" t_type = "BUY"
case "SOLGT": case "SOLGT":
@ -65,21 +68,29 @@ with open(args.input_filename, newline='') as csvfile:
case "UDB.": case "UDB.":
t_type = "DIVIDEND" t_type = "DIVIDEND"
fee = 0 fee = 0
currency = row[15] div = dividend_expression_re.findall(row['Transaktionstekst'])
price = div[0][0]
price = price.replace(',', '.')
currency = div[0][1]
case _:
continue
if symbol in splits: if symbol in splits and row['Transaktionstype'] != "UDB.":
key = list(splits[symbol].keys())[0] key = list(splits[symbol].keys())[0]
if date.isoformat() < key: if date.isoformat() < key:
ratio = splits[symbol][key] ratio = splits[symbol][key]
price = float(price) * ratio; price = float(price) * ratio;
quantity = float(quantity) * (1 / ratio); quantity = float(quantity) * (1 / ratio);
if row['Valuta'] != row['Valuta.3'] and row['Transaktionstype'] != "UDB.":
fee = float(fee) / float(str(row['Vekslingskurs']).replace(',', '.'))
if symbol in symbol_translations: if symbol in symbol_translations:
symbol = symbol_translations[symbol] symbol = symbol_translations[symbol]
data['activities'].append({ data['activities'].append({
'accountId': NORDNET_ACCOUNT_ID, 'accountId': NORDNET_ACCOUNT_ID,
'fee': float(str(fee).replace(',', '.')), 'fee': fee,
'quantity': int(quantity), 'quantity': int(quantity),
'type': t_type, 'type': t_type,
'unitPrice': float(price), 'unitPrice': float(price),