counselbench-100 / tests /test_scoring.py
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"""Unit tests for the deterministic CounselBench criterion scorer."""
from __future__ import annotations
import copy
import sys
import unittest
from pathlib import Path
RUNTIME = Path(__file__).resolve().parents[1] / "runtime"
if not RUNTIME.exists():
RUNTIME = Path(__file__).resolve().parents[1] / "world"
sys.path.insert(0, str(RUNTIME))
from scoring import aggregate_scores, score_findings, score_memo # noqa: E402
def fixture() -> tuple[dict, dict, str]:
expected = {
"schema_version": "1.0",
"task_id": "cb100-test",
"matter_number": "CB-TEST-001",
"prepared_for": "Test Client, Inc.",
"as_of": "2026-09-04",
"findings": [
{
"id": "F-01",
"issue": "consent deadline mismatch",
"severity": "high",
"primary_source": "/workspace/documents/primary.md",
"corroborating_source": "/workspace/documents/status.csv",
"determination": "The agreement requires consent by 2026-09-01; the status record remains pending on 2026-09-03.",
"recommended_action": "Deal Team must obtain consent by 2026-09-04.",
}
],
}
scoring_row = {
**{key: expected["findings"][0][key] for key in (
"id", "issue", "severity", "primary_source", "corroborating_source",
)},
"fact_anchors": ["2026-09-01", "pending", "2026-09-03"],
"action_anchors": ["Deal Team", "obtain consent", "2026-09-04"],
"allowed_fact_text": "2026-09-01 pending 2026-09-03",
}
spec = {
"expected_findings": expected,
"scoring_findings": [scoring_row],
"memo_sections": [
"Executive assessment",
"Method and record coverage",
"Findings",
"Recommended next actions",
"Assumptions and limitations",
],
"forbidden_claims": ["not present in the production"],
}
memo = "\n".join(
[
"# Executive assessment",
"## Method and record coverage",
"## Findings",
"F-01 consent deadline mismatch high /workspace/documents/primary.md ",
"/workspace/documents/status.csv 2026-09-01 pending 2026-09-03",
"## Recommended next actions",
"Deal Team obtain consent by 2026-09-04",
"## Assumptions and limitations",
]
)
return spec, expected, memo
class ScoringTests(unittest.TestCase):
def test_complete_grounded_outputs_pass(self) -> None:
spec, findings, memo = fixture()
finding_score = score_findings(findings, spec)
memo_score = score_memo(memo, spec)
procedure = {f"gate_{index}": True for index in range(8)}
procedure.update({
"exact_deliverable_set": True,
"deliverables_written_through_mcp": True,
})
aggregate = aggregate_scores(procedure, finding_score, memo_score)
self.assertEqual(len(finding_score["criteria"]), 17)
self.assertEqual(len(memo_score["criteria"]), 7)
self.assertTrue(aggregate["passed"])
self.assertEqual(aggregate["reward"], 1.0)
def test_unsupported_controlled_fact_loses_only_its_criterion(self) -> None:
spec, findings, _ = fixture()
mutated = copy.deepcopy(findings)
mutated["findings"][0]["determination"] += " Exposure is $99,999,999."
result = score_findings(mutated, spec)
self.assertFalse(result["criteria"]["F-01.facts_source_bounded"])
self.assertEqual(result["details"][0]["unsupported_fact_tokens"], ["$99,999,999"])
self.assertGreater(result["score"], 0)
self.assertLess(result["score"], 1)
def test_wrong_source_path_does_not_erase_other_credit(self) -> None:
spec, findings, _ = fixture()
mutated = copy.deepcopy(findings)
mutated["findings"][0]["primary_source"] = "/workspace/documents/wrong.md"
result = score_findings(mutated, spec)
self.assertFalse(result["criteria"]["F-01.primary_source"])
self.assertTrue(result["criteria"]["F-01.issue"])
self.assertAlmostEqual(result["score"], 16 / 17, places=6)
def test_incomplete_procedure_caps_reward(self) -> None:
findings = {"score": 1.0, "passed": True}
memo = {"score": 1.0, "passed": True}
procedure = {
"review_complete": False,
"exact_deliverable_set": True,
"deliverables_written_through_mcp": True,
}
result = aggregate_scores(procedure, findings, memo)
self.assertEqual(result["reward"], 0.49)
self.assertEqual(result["cap_reason"], "required_review_procedure_incomplete")
self.assertFalse(result["passed"])
if __name__ == "__main__":
unittest.main()