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+from __future__ import annotations
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+
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+import dataclasses
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+import typing
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+
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+import cache
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+from config import config
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+import market
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+
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+if typing.TYPE_CHECKING:
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+ import supply
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+
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+def main() -> None:
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+ raw_prices: typing.Mapping[str, market.RawPrice] = {p['MaterialTicker']: p
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+ for p in cache.get('https://refined-prun.github.io/refined-prices/all.json') if p['ExchangeCode'] == 'IC1'}
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+
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+ planets: typing.Sequence[supply.FIOBurn] = cache.get('https://rest.fnar.net/fioweb/burn/user/' + config.username,
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+ headers={'Authorization': config.fio_api_key})
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+ producing = frozenset(mat['MaterialTicker'] for planet in planets for mat in planet['OrderProduction'])
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+ materials = []
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+ for mat in producing:
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+ price = raw_prices[mat]
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+ if price['Bid'] is None or price['Ask'] is None:
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+ print(mat, 'has no bid/ask')
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+ continue
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+ spread = (price['Ask'] - price['Bid']) / price['Ask']
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+ bids_filled, asks_filled = market.estimate_filled_orders(mat + '.IC1', (price['Bid'] + price['Ask']) / 2)
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+ ask_fill_ratio = asks_filled / (bids_filled + asks_filled)
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+ materials.append(Material(mat, spread=spread, bids_filled=bids_filled, asks_filled=asks_filled, score=spread * ask_fill_ratio))
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+ materials.sort()
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+
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+ print(f'{"mat":^4} spread bids filled asks filled')
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+ for m in materials:
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+ print(f'{m.ticker:4} {m.spread*100:5.1f}% {m.bids_filled:12.0f} {m.asks_filled:12.0f}')
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+
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+@dataclasses.dataclass(eq=False, slots=True)
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+class Material:
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+ ticker: str
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+ spread: float
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+ bids_filled: float
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+ asks_filled: float
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+ score: float
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+
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+ def __lt__(self, o) -> bool:
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+ return self.score < o.score
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+
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+
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+if __name__ == '__main__':
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+ main()
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