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63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
import pytest
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from datetime import datetime
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from semantica.context import ContextGraph, PolicyEngine
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from semantica.context.decision_models import Policy, Decision
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def _make_policy(pid="p1", version="1.0.0", min_conf=0.8):
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return Policy(
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policy_id=pid,
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name="Test Policy",
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description="desc",
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rules={"min_confidence": min_conf, "allowed_outcomes": ["approved", "rejected"]},
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category="test",
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version=version,
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created_at=datetime.now(),
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updated_at=datetime.now(),
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metadata={},
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)
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def _make_decision(decision_id, conf=0.9, outcome="approved"):
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return Decision(
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decision_id=decision_id,
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category="test",
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scenario="s",
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reasoning="r",
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outcome=outcome,
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confidence=conf,
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timestamp=datetime.now(),
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decision_maker="tester",
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metadata={},
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)
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def test_policy_engine_add_get_update_with_context_graph():
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graph = ContextGraph()
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engine = PolicyEngine(graph)
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p = _make_policy()
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engine.add_policy(p)
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latest = engine.get_policy("p1")
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assert latest is not None
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assert latest.version == "1.0.0"
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new_ver = engine.update_policy("p1", {"min_confidence": 0.85, "allowed_outcomes": ["approved", "rejected"]}, "raise min")
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assert isinstance(new_ver, str)
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latest2 = engine.get_policy("p1")
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assert latest2 is not None
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assert latest2.version != "1.0.0"
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def test_policy_engine_compliance_and_application_edges():
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graph = ContextGraph()
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engine = PolicyEngine(graph)
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p = _make_policy()
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engine.add_policy(p)
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d = _make_decision("d1", conf=0.9, outcome="approved")
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graph.add_decision(d)
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ok = engine.check_compliance(d, "p1")
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assert ok is True
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engine.record_policy_application("d1", "p1", "1.0.0")
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edges = graph.find_edges(edge_type="APPLIED_POLICY")
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assert any(e.get("source") == "d1" and isinstance(e.get("target"), str) and e.get("target").startswith("p1:") for e in edges)
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