Constraint resolver: aggregate mass/footprint across a combo instead of pairwise-only checks, treat medium/atmosphere as agreement not supply/demand, reduce multi-provider checks by best/sum instead of AND-ing every provider, fail closed on unrecognized mutex values, add a propulsion-viability (thrust-to-weight) rule. Seed data updated to match (nuclear/solar-sail footprint floors, water-medium exclusions, explicit ground/gravity providers). Domain metric units were stored globally per metric name instead of per-domain, silently corrupting cost_efficiency for every domain but the first one seeded — fixed with a schema migration. Stub estimator's cost_efficiency/safety/availability/reliability were a backwards formula and flat constants; replaced with heuristics grounded in each entity's thrust_profile/energy_form/infrastructure. LLM estimate_physics() now receives each metric's unit and expected range instead of a bare name, fixing wildly miscalibrated estimates traced back to the prompt's own hardcoded example anchoring the model to the wrong order of magnitude. Sharpened the safety-estimation and plausibility-review prompts. Deduped provider parsing logic into llm/parsing.py. Web pipeline form can now pick an LLM provider per run instead of only via server env var. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
18 lines
605 B
Python
18 lines
605 B
Python
"""Tests for the Ollama provider's registry wiring."""
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from __future__ import annotations
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from physcom.llm.providers.ollama import OllamaLLMProvider
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def test_registry_builds_ollama_provider(monkeypatch):
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from physcom.llm.registry import build_llm_provider
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monkeypatch.setenv("LLM_PROVIDER", "ollama")
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monkeypatch.setenv("OLLAMA_MODEL", "phi4:14b")
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monkeypatch.setenv("OLLAMA_HOST", "http://example:1234")
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provider = build_llm_provider()
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assert isinstance(provider, OllamaLLMProvider)
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assert provider._model == "phi4:14b"
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assert provider._host == "http://example:1234"
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