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@@ -21,14 +21,14 @@ def main() -> None:
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profits.append(profit)
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profits.sort(reverse=True)
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for p in profits:
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- print(f'{p.output:5} \033[32m{p.profit: 10,.0f}\033[31m', end='')
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+ print(f'{p.output:5} \033[32m{p.profit_per_area: 10,.0f}\033[31m', end='')
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if p.low_volume:
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print(' low volume', end='')
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if p.heavy_logistics:
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print(' heavy logistics', end='')
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if p.high_opex:
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print(' high opex', end='')
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- print(f'\n\033[30m{p.recipe:30} \033[33m{p.capex: 6,.0f} \033[35m{p.cost_per_day: 6,.0f}\033[0m')
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+ print(f'\n\033[30m{p.recipe:30} \033[0m{p.expertise:19} \033[33m{p.capex:7,.0f} \033[35m{p.cost_per_day:7,.0f}\033[0m')
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def calc_profit(recipe: Recipe, buildings: typing.Mapping[str, Building], materials: typing.Mapping[str, Material],
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prices: typing.Mapping[str, Price]) -> Profit | None:
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@@ -42,8 +42,9 @@ def calc_profit(recipe: Recipe, buildings: typing.Mapping[str, Building], materi
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except KeyError: # skip recipes with thinly traded materials
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return
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revenue = output_price.vwap * output['Amount']
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+ building = buildings[recipe['BuildingTicker']]
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capex = sum(bm['Amount'] * prices[bm['CommodityTicker']].vwap
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- for bm in buildings[recipe['BuildingTicker']]['BuildingCosts'])
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+ for bm in building['BuildingCosts'])
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profit_per_run = revenue - cost
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runs_per_day = 24 * 60 * 60 * 1000 / recipe['TimeMs']
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cost_per_day = cost * runs_per_day
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@@ -54,7 +55,9 @@ def calc_profit(recipe: Recipe, buildings: typing.Mapping[str, Building], materi
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materials[output['Ticker']]['Weight'] * output['Amount'],
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materials[output['Ticker']]['Volume'] * output['Amount'],
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) * runs_per_day
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- return Profit(output['Ticker'], recipe['RecipeName'], profit=profit_per_run * runs_per_day,
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+ return Profit(output['Ticker'], recipe['RecipeName'],
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+ expertise=building['Expertise'].replace('_', ' ').lower(),
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+ profit_per_area=profit_per_run * runs_per_day / building['AreaCost'],
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capex=capex,
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cost_per_day=cost_per_day,
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low_volume=output_price.average_traded < output_per_day * 20,
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@@ -72,9 +75,10 @@ class RecipeMat(typing.TypedDict):
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Amount: int
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class Building(typing.TypedDict):
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- Ticker: str
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- AreaCost: int
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- BuildingCosts: list[BuildingMat]
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+ Ticker: str
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+ Expertise: str
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+ AreaCost: int
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+ BuildingCosts: list[BuildingMat]
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class BuildingMat(typing.TypedDict):
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CommodityTicker: str
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@@ -101,7 +105,8 @@ class Price:
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class Profit:
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output: str
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recipe: str
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- profit: float
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+ expertise: str
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+ profit_per_area: float
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capex: float
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cost_per_day: float
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low_volume: bool
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@@ -111,13 +116,9 @@ class Profit:
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def __post_init__(self) -> None:
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self.high_opex = self.cost_per_day > 50_000
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- self.score = self.profit
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+ self.score = self.profit_per_area
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if self.low_volume:
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self.score *= 0.2
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- if self.heavy_logistics:
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- self.score *= 0.5
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- if self.high_opex:
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- self.score *= 0.8
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def __lt__(self, other: Profit) -> bool:
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return self.score < other.score
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