97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
import csv
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import json
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from datetime import datetime
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from argparse import ArgumentParser
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parser = ArgumentParser()
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parser.add_argument("-i", "--input", dest="input_filename",
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help="Nordnet source file", metavar="INPUT")
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parser.add_argument("-o", "--output", dest="output_filename",
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help="Ghostfolio destination file", metavar="OUTPUT")
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args = parser.parse_args()
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NORDNET_ACCOUNT_ID="cae3d45f-53bc-4dee-83a4-4448b409f8b2"
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format = "%Y-%m-%d"
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data = {
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'activities': []
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}
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splits = {
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"NOVO B": {
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"2023-09-20 00:00:00 UTC": 0.5
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}
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}
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symbol_translations = {
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"NOVO B": "NOVO-B.CO",
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"XZEC": "XZEC.DE"
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}
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#print("Date", "Code", "DataSource", "Currency", "Price", "Quantity", "Action", "Fee", "account", sep=',')
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# Date, Code, DataSource, Currency, Price, Quantity, Action, Free, Note
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with open(args.input_filename, newline='') as csvfile:
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reader = csv.reader(csvfile, delimiter='\t', quotechar='|')
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for row in reader:
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if row[5] in ("INDBETALING", "HÆVNING", "INDSÆTTELSE", "AFKASTSKAT ASK", "MAKULERING AFKASTSKAT ASK", "Transaktionstype", ""):
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continue
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date = None
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t_type = None
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price = 0
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try:
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date = datetime.strptime(row[2], format)
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except ValueError:
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data = None
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print("Failed parsing date")
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price = row[10].replace('.', '')
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price = price.replace(',', '.')
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quantity = row[9]
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fee = row[27]
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symbol = row[6]
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currency = row[17]
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match row[5]:
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case "KØBT":
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t_type = "BUY"
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case "SOLGT":
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t_type = "SELL"
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case "UDB.":
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t_type = "DIVIDEND"
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fee = 0
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currency = row[15]
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if symbol in splits:
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key = list(splits[symbol].keys())[0]
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if date.isoformat() < key:
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ratio = splits[symbol][key]
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price = float(price) * ratio;
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quantity = float(quantity) * (1 / ratio);
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if symbol in symbol_translations:
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symbol = symbol_translations[symbol]
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data['activities'].append({
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'accountId': NORDNET_ACCOUNT_ID,
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'fee': float(str(fee).replace(',', '.')),
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'quantity': int(quantity),
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'type': t_type,
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'unitPrice': float(price),
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'currency': currency,
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'dataSource': 'YAHOO',
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'date': date.isoformat(),
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'symbol': symbol,
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})
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json_data = json.dumps(data)
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f = open(args.output_filename, "w")
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f.write(json_data)
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f.close()
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