dodoxandClaude Sonnet 5
58db08b921
- puga/network.py + tools/network.py: model a multi-base chain (e.g. mine LST at one base, ship it, consume it at another). Simulates each base independently, nets a transferred material's producer-surplus against consumer-need, charges real freight only on what's moved, cm_free for a founding covered by a Core Module Kit. Worked example in plans/chains/. - puga/saturation.py: real price-band filtering. FIO's order_book NarrowPriceBandLow/High and WidePriceBandLow/High match APEX's own displayed Price Band exactly (verified live) - an order outside it is a stale artifact, not just uncompetitive. Added in_band() and effective_demand(); effective_supply() gained the same hard band filter alongside its existing soft vwap-proximity filter (renamed that param mult to free up `band`). Wired into tools/scan.py stage 2 in place of the raw, unfiltered demand figure. Was flagged as an unimplemented refinement in saturation-design.md since the original design review. - tools/sell.py: self-contained tranche split (aggressive tranche capped at a volume quantile, median normally or 80th pct with --tight when a payment is imminent and stockout risk outweighs margin; patient tranche priced under the next competitor tier). Instant-bid comparison moved behind --show-bid (off by default). - Docs and roadmap updated accordingly. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
61 lines
2.9 KiB
Python
61 lines
2.9 KiB
Python
"""Multi-base chains: combine several independently-simulated plans into one balance sheet.
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Each base is simulated on its own (puga.simulate.simulate), which prices every flow at market —
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that already gives each base's own correct profit whether or not a material actually leaves the
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base. For a material transferred between two bases in the SAME chain (e.g. LST mined at Nike,
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consumed at Deimos), the two bases' market-priced flows cancel out in the combined total to within
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the transferred quantity (base A "sells" it, base B "buys" it, at the same price basis) — so the
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combined total needs only ONE correction: the real freight cost of physically moving it, which
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isn't in either base's isolated numbers. Leftover surplus (more produced than a partner needs) is
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still validly sold at market by the producing base; leftover deficit is still validly bought.
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"""
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from dataclasses import dataclass, field
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from . import fio
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from .simulate import simulate
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@dataclass
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class BaseNode:
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name: str
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plan: dict
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recipes: list
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buildings: list
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resources: list
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fertility: float
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price: callable
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faction: str | None = None
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permits: tuple[float, float] = (1, 2)
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built: dict = field(default_factory=dict)
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@dataclass
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class Transfer:
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material: str
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src: str # producing base's name (key in the `bases` dict)
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dst: str # consuming base's name
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trip_cost: float = 9250.0 # AIC per round trip; PLACEHOLDER until a real route/fuel model exists
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cargo: float = 500.0 # t or m3 per trip
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def combine(bases: dict[str, BaseNode], transfers: list[Transfer]) -> dict:
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mat = {m["Ticker"]: m for m in fio.materials()}
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results = {name: simulate(b.plan, b.recipes, b.buildings, b.resources, b.fertility, b.price, b.faction, b.permits, built=b.built)
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for name, b in bases.items()}
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ledger = []
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total_profit = sum(r["profit"] for r in results.values())
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for t in transfers:
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prod = results[t.src]["flows"].get(t.material, {"out": 0.0, "inp": 0.0})
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cons = results[t.dst]["flows"].get(t.material, {"out": 0.0, "inp": 0.0})
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avail = prod["out"] - prod["inp"] # net surplus at the source (0 if it's a net consumer)
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need = cons["inp"] - cons["out"] # net requirement at the destination
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moved = max(0.0, min(avail, need))
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m = mat.get(t.material)
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weight, volume = moved * (m["Weight"] if m else 0), moved * (m["Volume"] if m else 0)
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trips = max(weight, volume) / t.cargo if t.cargo else 0.0
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freight = trips * t.trip_cost
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total_profit -= freight
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ledger.append(dict(material=t.material, src=t.src, dst=t.dst, moved=moved, avail=avail, need=need,
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shortfall=max(0.0, need - avail), surplus=max(0.0, avail - need),
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weight=weight, volume=volume, trips=trips, freight=freight))
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return dict(results=results, ledger=ledger, total_profit=total_profit)
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