Claudia
fd7d75c0ed
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- Merged all unique darkplex-core modules into cortex: - intelligence/ subfolder (anticipator, collective, shared_memory, knowledge_cleanup, temporal, llm_extractor, loop) - governance/ subfolder (policy engine, risk scorer, evidence, enforcer, report generator) - entity_manager.py, knowledge_extractor.py - Fixed bare 'from intelligence.' imports to 'from cortex.intelligence.' - Added 'darkplex' CLI alias alongside 'cortex' - Package renamed to darkplex-core v0.2.0 - 405 tests passing (was 234) - 14 new test files covering all merged modules
80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
"""Tests for governance/risk_scorer.py."""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path.home() / "repos" / "darkplex-core"))
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from governance.risk_scorer import RiskScorer, RiskResult, _classify_level
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class TestClassifyLevel:
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def test_low(self):
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assert _classify_level(0) == "low"
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assert _classify_level(3) == "low"
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def test_elevated(self):
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assert _classify_level(4) == "elevated"
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assert _classify_level(6) == "elevated"
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def test_high(self):
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assert _classify_level(7) == "high"
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assert _classify_level(8) == "high"
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def test_critical(self):
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assert _classify_level(9) == "critical"
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assert _classify_level(10) == "critical"
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class TestRiskResult:
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def test_acceptable(self):
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r = RiskResult(value=3, level="low", factors={})
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assert r.is_acceptable
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def test_not_acceptable(self):
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r = RiskResult(value=7, level="high", factors={})
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assert not r.is_acceptable
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class TestRiskScorer:
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def setup_method(self):
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self.scorer = RiskScorer()
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def test_default_low_risk(self):
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result = self.scorer.score({"hour": 12})
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assert result.level == "low"
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assert result.is_acceptable
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def test_public_internal(self):
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result = self.scorer.score({"data_type": "public", "target": "internal", "hour": 12})
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assert result.value <= 3
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def test_confidential_external(self):
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result = self.scorer.score({"data_type": "confidential", "target": "external", "hour": 12})
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assert result.value >= 7
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def test_restricted_critical(self):
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result = self.scorer.score({"data_type": "restricted", "target": "external", "hour": 12})
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assert result.level in ("high", "critical")
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def test_off_hours_bonus(self):
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day = self.scorer.score({"data_type": "internal", "hour": 12})
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night = self.scorer.score({"data_type": "internal", "hour": 2})
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assert night.value > day.value
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def test_admin_role_reduces_risk(self):
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admin = self.scorer.score({"agent_role": "admin", "hour": 12})
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external = self.scorer.score({"agent_role": "external", "hour": 12})
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assert admin.value < external.value
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def test_factors_populated(self):
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result = self.scorer.score({"data_type": "internal", "target": "external", "hour": 10})
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assert "data_type" in result.factors
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assert "target" in result.factors
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assert "agent_role" in result.factors
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assert "time_of_day" in result.factors
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def test_clamped_0_10(self):
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# Even with extreme values, should be 0-10
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result = self.scorer.score({"data_type": "restricted", "target": "external", "agent_role": "external", "hour": 3})
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assert 0 <= result.value <= 10
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