from __future__ import annotations

import dataclasses
import sys
import typing

import cache
import roi

def main() -> None:
	from_cx, to_cx = sys.argv[1:]
	raw_prices: list[RawPrice] = cache.get('https://refined-prun.github.io/refined-prices/all.json')
	materials: dict[str, roi.Material] = {m['Ticker']: m for m in cache.get('https://api.prunplanner.org/data/materials')}

	bids: dict[str, float] = {}
	for price in raw_prices:
		if price['ExchangeCode'] != to_cx or price['MMBuy'] is None:
			continue
		assert price['Bid'] is not None
		bids[price['MaterialTicker']] = price['Bid']

	rates: list[FX] = []
	for price in raw_prices:
		if price['ExchangeCode'] != from_cx or price['Ask'] is None or (to_price := bids.get(price['MaterialTicker'])) is None:
			continue
		rates.append(FX(price['MaterialTicker'], to_price, (price['Ask'] - to_price) / to_price))

	rates.sort()
	for rate in rates:
		print(f'{rate.ticker:4} {rate.rate:8.5f}', end=' ')
		mat = materials[rate.ticker]
		if mat['Weight'] >= mat['Volume']:
			print(f'{rate.to_price / mat["Weight"]:9,.0f}/t')
		else:
			print(f'{rate.to_price / mat["Volume"]:9,.0f}/m³')

class RawPrice(typing.TypedDict):
	MaterialTicker: str
	ExchangeCode: str
	Ask: float | None
	Bid: float | None
	MMBuy: float | None

@dataclasses.dataclass(eq=False, frozen=True, slots=True)
class FX:
	ticker: str
	to_price: float
	rate: float

	def __lt__(self, other: FX) -> bool:
		return self.rate < other.rate

if __name__ == '__main__':
	main()