example.py

# example action
action = {
    "id": "",
    "buy": {"amount": "", "currency": ""},
    "sell": {"amount": "", "currency": ""},
    "state": "",
}


# alternate implementation: Pydantic or dataclasses


from functools import reduce
import itertools


# example model
trade1 = {"id": "123456", "action": "sell", "amount": "10.00", "currency": "SEK"}
trade2 = {"id": "123456", "action": "buy", "amount": "15.00", "currency": "SEK"}




def get_value(trade: dict) -> dict:
    amount = float(trade["amount"])
    return amount if trade["action"] == "buy" else -amount



groups = itertools.groupby([trade1, trade2], key=lambda x: x["currency"])

totals = {}
for k, v in groups:
    trades = list(v)

    totals[k] = [get_value(trade) for trade in trades]

sum(totals["SEK"])

# [get_value(i) for i in list(v)]

def aggregate_trades(trades: list[dict]) -> dict:
    
    return {"SEK": {"value": ""}, "USD": {"value": ""}}