dodoxandClaude Sonnet 5
80b8fa8bf9
Ranks every planet with a given extraction factor using FIO's bulk planet data, pricing founding cost straight from FIO's own BuildRequirements (real environment-extras materials for that specific planet, not guessed temperature/pressure thresholds - PRUNplanner's own calculations don't model those either). Takes --from an existing base to report jump distance via tools/route.py, since pure-factor ranking alone is misleading: the best-factor planets found for FEO were all 500-2600+ ly away, confirming Vulcan (merely decent factor, same system as Deimos) was still the right practical pick. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
28 lines
1.5 KiB
Python
28 lines
1.5 KiB
Python
"""Rank planets by extraction factor for a resource, with founding cost (environment extras
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from FIO's own BuildRequirements - authoritative, not guessed from temperature/pressure
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thresholds, which PRUNplanner's own calculations don't model either)."""
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from . import fio
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def candidates(resource_ticker: str, min_factor: float = 0.0):
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"""All planets with this resource, sorted by factor descending. Each: PlanetNaturalId,
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PlanetName, factor, resource_type, plus the raw planet record (temperature/pressure/
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gravity/fertility/faction/BuildRequirements/SystemId etc)."""
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mats = {m["Ticker"]: m["MaterialId"] for m in fio.materials()}
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mid = mats.get(resource_ticker.upper())
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if not mid:
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raise ValueError(f"unknown material ticker {resource_ticker!r}")
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out = []
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for p in fio.planets_full():
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for r in p.get("Resources", []):
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if r["MaterialId"] == mid and r["Factor"] >= min_factor:
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out.append({
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"natural_id": p["PlanetNaturalId"], "name": p["PlanetName"],
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"factor": r["Factor"], "resource_type": r["ResourceType"],
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"temperature": p["Temperature"], "pressure": p["Pressure"], "gravity": p["Gravity"],
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"fertility": p["Fertility"], "faction": p.get("FactionCode"),
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"system_id": p["SystemId"], "build_requirements": p.get("BuildRequirements", []),
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})
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out.sort(key=lambda x: -x["factor"])
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return out
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