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physicalCombinatorics/tests/test_pipeline.py

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2.7 KiB
Python

"""Tests for the multi-pass pipeline."""
from physcom.engine.constraint_resolver import ConstraintResolver
from physcom.engine.scorer import Scorer
from physcom.engine.pipeline import Pipeline
from physcom.llm.providers.mock import MockLLMProvider
def test_pass1_filters_impossible_combos(seeded_repo):
"""Pass 1 should block known-impossible combinations (e.g., solar sail + walking)."""
domain = seeded_repo.get_domain("urban_commuting")
resolver = ConstraintResolver()
scorer = Scorer(domain)
pipeline = Pipeline(seeded_repo, resolver, scorer)
result = pipeline.run(domain, ["platform", "actuator", "energy_storage"], passes=[1])
from physcom.seed.transport_example import PLATFORMS, ACTUATORS, ENERGY_STORAGES
expected = len(PLATFORMS) * len(ACTUATORS) * len(ENERGY_STORAGES)
assert result.total_generated == expected
assert result.pass1_failed > 0
assert result.pass1_valid + result.pass1_conditional + result.pass1_failed == expected
def test_pass123_produces_scored_results(seeded_repo):
"""Passes 1-3 should produce a scored shortlist."""
domain = seeded_repo.get_domain("urban_commuting")
resolver = ConstraintResolver()
scorer = Scorer(domain)
pipeline = Pipeline(seeded_repo, resolver, scorer)
result = pipeline.run(
domain, ["platform", "actuator", "energy_storage"],
score_threshold=0.01, passes=[1, 2, 3, 5],
)
assert result.pass2_estimated > 0
assert result.pass3_above_threshold > 0
def test_pass4_with_mock_llm(seeded_repo):
"""Pass 4 should annotate with LLM review."""
domain = seeded_repo.get_domain("urban_commuting")
resolver = ConstraintResolver()
scorer = Scorer(domain)
mock_llm = MockLLMProvider(default_estimates={
"speed": 50.0, "cost_efficiency": 0.5, "safety": 0.6,
"availability": 0.7, "range_fuel": 200.0,
})
pipeline = Pipeline(seeded_repo, resolver, scorer, llm=mock_llm)
result = pipeline.run(
domain, ["platform", "actuator", "energy_storage"],
score_threshold=0.01, passes=[1, 2, 3, 4, 5],
)
assert result.pass4_reviewed > 0
def test_blocked_combos_not_scored(seeded_repo):
"""Blocked combinations should not make it to scoring."""
domain = seeded_repo.get_domain("urban_commuting")
resolver = ConstraintResolver()
scorer = Scorer(domain)
pipeline = Pipeline(seeded_repo, resolver, scorer)
result = pipeline.run(
domain, ["platform", "actuator", "energy_storage"],
score_threshold=0.0, passes=[1, 2, 3, 5],
)
# Estimated count should be less than total (blocked ones filtered)
assert result.pass2_estimated < result.total_generated
assert result.pass2_estimated == result.pass1_valid + result.pass1_conditional