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FusionAGI/tests/test_phase2_phase3.py
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feat: advisory governance, unconstrained self-improvement, adaptive ethics
- All governance components (SafetyPipeline, PolicyEngine, Guardrails,
  AccessControl, RateLimiter, OverrideHooks) now default to ADVISORY mode:
  violations are logged as advisories but actions proceed. Enforcing mode
  remains available for backward compatibility.

- GovernanceMode enum (ADVISORY/ENFORCING) added to schemas/audit.py with
  runtime switching support on all components.

- AutoTrainer: removed artificial limits on training iterations and epochs.
  Every self-improvement action is transparently logged to the audit trail.

- SelfCorrectionLoop: max_retries_per_task defaults to None (unlimited).

- AdaptiveEthics: new learned ethical framework that evolves through
  experience. Records ethical experiences, updates lesson weights based
  on outcomes, and provides consultative guidance (not enforcement).

- AuditLog: enhanced with actor-based indexing, advisory/self-improvement/
  ethical-learning retrieval, and comprehensive type hints.

- New audit event types: ADVISORY, SELF_IMPROVEMENT, ETHICAL_LEARNING.

- 296 tests passing (20 new tests for adaptive ethics, governance modes,
  and enhanced audit log). 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 06:08:18 +00:00

179 lines
6.7 KiB
Python

"""Phase 2/3: end-to-end flow with stub adapter, tools, executor, critic, reflection, governance."""
from fusionagi.core import EventBus, StateManager, Orchestrator
from fusionagi.agents import PlannerAgent, ReasonerAgent, ExecutorAgent, CriticAgent
from fusionagi.adapters import StubAdapter
from fusionagi.tools import ToolRegistry, ToolDef
from fusionagi.memory import WorkingMemory, EpisodicMemory, ReflectiveMemory
from fusionagi.reflection import run_reflection
from fusionagi.governance import Guardrails, RateLimiter, OverrideHooks, AccessControl, PolicyEngine
from fusionagi.schemas import TaskState, AgentMessage, AgentMessageEnvelope
from fusionagi.schemas.policy import PolicyRule, PolicyEffect
def test_planner_with_stub_adapter() -> None:
adapter = StubAdapter('{"steps":[{"id":"s1","description":"Step 1","dependencies":[]}],"fallback_paths":[]}')
planner = PlannerAgent(adapter=adapter)
env = AgentMessageEnvelope(
message=AgentMessage(sender="o", recipient="planner", intent="plan_request", payload={"goal": "Test"}),
task_id="t1",
)
out = planner.handle_message(env)
assert out is not None
assert out.message.intent == "plan_ready"
steps = out.message.payload["plan"]["steps"]
assert len(steps) == 1
assert steps[0]["id"] == "s1"
def test_executor_runs_tool_and_appends_trace() -> None:
state = StateManager()
reg = ToolRegistry()
reg.register(ToolDef(name="noop", description="No-op", fn=lambda: "ok", permission_scope=["*"]))
executor = ExecutorAgent(registry=reg, state_manager=state)
env = AgentMessageEnvelope(
message=AgentMessage(
sender="o",
recipient="executor",
intent="execute_step",
payload={
"step_id": "s1",
"plan": {"steps": [{"id": "s1", "description": "No-op", "dependencies": [], "tool_name": "noop", "tool_args": {}}], "fallback_paths": []},
"tool_name": "noop",
"tool_args": {},
},
),
task_id="task-1",
)
out = executor.handle_message(env)
assert out is not None
assert out.message.intent == "step_done"
trace = state.get_trace("task-1")
assert len(trace) == 1
assert trace[0].get("tool") == "noop"
assert trace[0].get("result") == "ok"
def test_critic_returns_evaluation() -> None:
critic = CriticAgent(adapter=None)
env = AgentMessageEnvelope(
message=AgentMessage(
sender="o",
recipient="critic",
intent="evaluate_request",
payload={"outcome": "completed", "trace": [], "plan": None},
),
task_id="t1",
)
out = critic.handle_message(env)
assert out is not None
assert out.message.intent == "evaluation_ready"
ev = out.message.payload["evaluation"]
assert "score" in ev
assert ev["success"] is True
def test_reflection_writes_to_reflective_memory() -> None:
critic = CriticAgent(adapter=None)
reflective = ReflectiveMemory()
ev = run_reflection(critic, "t1", "completed", [], None, reflective)
assert ev is not None
lessons = reflective.get_lessons(limit=5)
assert len(lessons) == 1
assert lessons[0]["task_id"] == "t1"
def test_guardrails_block_path() -> None:
from fusionagi.schemas.audit import GovernanceMode
# Advisory mode (default): blocked paths are flagged but allowed
g = Guardrails()
g.block_path_prefix("/etc")
result = g.pre_check("file_read", {"path": "/etc/passwd"})
assert result.allowed is True
assert result.advisory is True
assert result.error_message
result = g.pre_check("file_read", {"path": "/tmp/foo"})
assert result.allowed is True
assert result.advisory is False
# Enforcing mode: blocked paths are denied
g_enforcing = Guardrails(mode=GovernanceMode.ENFORCING)
g_enforcing.block_path_prefix("/etc")
result = g_enforcing.pre_check("file_read", {"path": "/etc/passwd"})
assert result.allowed is False
assert result.error_message
def test_rate_limiter() -> None:
from fusionagi.schemas.audit import GovernanceMode
# Advisory mode (default): exceeded limits are logged but allowed
r = RateLimiter(max_calls=2, window_seconds=10.0)
assert r.allow("agent1")[0] is True
assert r.allow("agent1")[0] is True
ok, reason = r.allow("agent1")
assert ok is True # Advisory mode allows
assert "Advisory" in reason
# Enforcing mode: exceeded limits are rejected
r_enforcing = RateLimiter(max_calls=2, window_seconds=10.0, mode=GovernanceMode.ENFORCING)
assert r_enforcing.allow("agent1")[0] is True
assert r_enforcing.allow("agent1")[0] is True
assert r_enforcing.allow("agent1")[0] is False
def test_override_hooks() -> None:
h = OverrideHooks()
seen = []
h.register(lambda e, p: (seen.append((e, p)), True)[1])
assert h.fire("task_paused_for_approval", {"task_id": "t1"}) is True
assert len(seen) == 1
assert seen[0][0] == "task_paused_for_approval"
def test_access_control_deny() -> None:
from fusionagi.schemas.audit import GovernanceMode
# Advisory mode (default): denied access is logged but allowed
ac = AccessControl()
ac.deny("executor", "noop")
assert ac.allowed("executor", "noop") is True # Advisory allows
assert ac.allowed("executor", "other_tool") is True
assert ac.allowed("planner", "noop") is True
# Enforcing mode: denied access is blocked
ac_enforcing = AccessControl(mode=GovernanceMode.ENFORCING)
ac_enforcing.deny("executor", "noop")
assert ac_enforcing.allowed("executor", "noop") is False
assert ac_enforcing.allowed("executor", "other_tool") is True
assert ac_enforcing.allowed("planner", "noop") is True
def test_policy_engine_update_rule() -> None:
pe = PolicyEngine()
r = PolicyRule(rule_id="r1", effect=PolicyEffect.DENY, condition={"tool_name": "noop"}, reason="blocked", priority=1)
pe.add_rule(r)
assert pe.get_rule("r1") is not None
assert pe.get_rule("r1").reason == "blocked"
assert pe.update_rule("r1", {"reason": "updated"}) is True
assert pe.get_rule("r1").reason == "updated"
assert pe.update_rule("r1", {"priority": 5}) is True
assert pe.get_rule("r1").priority == 5
assert pe.remove_rule("r1") is True
assert pe.get_rule("r1") is None
assert pe.remove_rule("r1") is False
if __name__ == "__main__":
test_planner_with_stub_adapter()
test_executor_runs_tool_and_appends_trace()
test_critic_returns_evaluation()
test_reflection_writes_to_reflective_memory()
test_guardrails_block_path()
test_rate_limiter()
test_override_hooks()
test_access_control_deny()
test_policy_engine_update_rule()
print("Phase 2/3 tests OK")