return on area

roa.py

@@ -0,0 +1,48 @@
+from __future__ import annotations
+
+import dataclasses
+import typing
+
+import cache
+import roi
+
+def main() -> None:
+	sankey: typing.Mapping[str, SankeyMat] = cache.get('https://benten.space/sankey_data.json')
+	raw_prices: list[roi.RawPrice] = cache.get('https://refined-prun.github.io/refined-prices/all.json')
+	prices: dict[str, roi.Price] = {
+		p['MaterialTicker']: roi.Price(p['VWAP7D'], p['AverageTraded7D'], p['VWAP30D']) for p in raw_prices
+		if p['ExchangeCode'] == 'IC1'
+	}
+
+	profits: list[Profit] = []
+	for mat, sankey_data in sankey.items():
+		price = prices[mat]
+		if price.vwap_7d is None:
+			continue
+		assert price.average_traded_7d is not None
+		profits.append(Profit(mat, price.vwap_7d / area_cost(mat, sankey_data), price.average_traded_7d))
+	profits.sort(reverse=True)
+	for profit in profits:
+		print(f'{profit.material:4} {profit.per_area:5.2f} {profit.traded:6.2f}')
+
+def area_cost(mat: str, sankey_data: SankeyMat) -> float:
+	return sum(link['value'] for link in sankey_data['links'] if link['source'] == mat)
+
+class SankeyMat(typing.TypedDict):
+	links: typing.Sequence[SankeyLink]
+
+class SankeyLink(typing.TypedDict):
+	source: str
+	value: float
+
+@dataclasses.dataclass(eq=False, frozen=True, slots=True)
+class Profit:
+	material: str
+	per_area: float
+	traded: float
+
+	def __lt__(self, other: Profit) -> bool:
+		return self.per_area < other.per_area
+
+if __name__ == '__main__':
+	main()

supply.py

@@ -114,7 +114,7 @@ def main() -> None:
 						warehouse[ticker] -= max(avail - need, 0)
 						sources.append(f'WH: {avail}')
 					cost = raw_prices[ticker]['Ask'] * need
-					print(f' (${cost:6.0f}) ' + ' '.join(sources))
+					print(f' (${cost:6.0f}) ' + ', '.join(sources))
 					total_cost += cost
 			else:
 				print()