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
79 lines
3.1 KiB
Python
79 lines
3.1 KiB
Python
"""Tests for governance/enforcer.py — Runtime Enforcer."""
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import sys
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from pathlib import Path
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import yaml
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import pytest
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sys.path.insert(0, str(Path.home() / "repos" / "darkplex-core"))
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from governance.enforcer import Enforcer, Decision
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from governance.policy import PolicyEngine
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from governance.risk_scorer import RiskScorer
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from governance.evidence import EvidenceCollector, ControlMapping
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def _make_enforcer(tmp_path, rules=None):
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if rules:
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policy_file = tmp_path / "test.yaml"
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policy_file.write_text(yaml.dump({
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"name": "test", "description": "", "version": "1",
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"rules": rules,
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}))
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engine = PolicyEngine(policies_dir=str(tmp_path))
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scorer = RiskScorer()
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collector = EvidenceCollector(control_mapping=ControlMapping("/dev/null"))
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return Enforcer(policy_engine=engine, risk_scorer=scorer, evidence_collector=collector)
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class TestDecision:
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def test_approved(self):
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from governance.risk_scorer import RiskResult
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d = Decision(verdict="approve", reason="ok", risk=RiskResult(0, "low", {}), policy_result={})
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assert d.approved
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def test_not_approved(self):
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from governance.risk_scorer import RiskResult
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d = Decision(verdict="deny", reason="no", risk=RiskResult(9, "critical", {}), policy_result={})
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assert not d.approved
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class TestEnforcer:
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def test_default_allow(self, tmp_path):
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enforcer = _make_enforcer(tmp_path)
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decision = enforcer.evaluate({"agent": "claudia", "action": "read", "hour": 12})
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assert decision.verdict == "allow"
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def test_policy_deny(self, tmp_path):
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enforcer = _make_enforcer(tmp_path, rules=[
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{"name": "deny-ext", "conditions": {"target": "external"}, "effect": "deny", "priority": 10},
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])
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decision = enforcer.evaluate({"agent": "claudia", "action": "send", "target": "external", "hour": 12})
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assert decision.verdict == "deny"
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def test_risk_override(self, tmp_path):
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"""High risk should override an allow policy to escalate."""
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enforcer = _make_enforcer(tmp_path, rules=[
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{"name": "allow-all", "conditions": {"agent": "claudia"}, "effect": "allow", "priority": 1},
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])
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decision = enforcer.evaluate({
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"agent": "claudia", "action": "export",
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"data_type": "restricted", "target": "external", "hour": 12,
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})
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# Risk should be high/critical, overriding the allow
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assert decision.verdict in ("deny", "escalate")
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def test_evidence_recorded(self, tmp_path):
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enforcer = _make_enforcer(tmp_path)
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enforcer.evaluate({"agent": "test", "action": "read", "hour": 12})
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assert len(enforcer.evidence_collector.evidence) == 1
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def test_data_classification_alias(self, tmp_path):
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enforcer = _make_enforcer(tmp_path)
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decision = enforcer.evaluate({
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"agent": "test", "action": "read",
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"data_classification": "confidential", "hour": 12,
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})
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# Should use data_classification as data_type
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assert decision.risk.factors["data_type"]["value"] == "confidential"
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