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OpenJarvis/tests/learning/test_agent_advisor.py
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2026-03-12 17:29:39 +00:00

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Python

"""Tests for agent advisor policy."""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Optional
from openjarvis.learning.agent_advisor import AgentAdvisorPolicy
@dataclass
class _MockTrace:
query: str = ""
model: str = "model-a"
outcome: str = "success"
feedback: Optional[float] = 0.8
steps: list = field(default_factory=list)
total_latency_seconds: float = 1.0
class _MockTraceStore:
def __init__(self, traces):
self._traces = traces
def list_traces(self):
return self._traces
class TestAgentAdvisorPolicy:
def test_no_problem_traces(self):
traces = [_MockTrace(outcome="success") for _ in range(5)]
policy = AgentAdvisorPolicy()
store = _MockTraceStore(traces)
result = policy.update(store)
assert result["recommendations"] == []
assert result["confidence"] == 1.0
def test_detects_failures(self):
traces = [
_MockTrace(query="def code()", outcome="failure"),
_MockTrace(query="def more_code()", outcome="failure"),
_MockTrace(query="import something", outcome="failure"),
]
policy = AgentAdvisorPolicy()
store = _MockTraceStore(traces)
result = policy.update(store)
assert len(result["recommendations"]) > 0
assert result["confidence"] < 1.0
def test_detects_slow_traces(self):
traces = [
_MockTrace(outcome="success", total_latency_seconds=10.0),
]
policy = AgentAdvisorPolicy()
store = _MockTraceStore(traces)
result = policy.update(store)
assert result["problem_traces"] == 1
def test_empty_traces(self):
policy = AgentAdvisorPolicy()
store = _MockTraceStore([])
result = policy.update(store)
assert result["recommendations"] == []
def test_is_agent_policy(self):
from openjarvis.learning._stubs import AgentLearningPolicy
assert issubclass(AgentAdvisorPolicy, AgentLearningPolicy)
assert AgentAdvisorPolicy.target == "agent"
def test_max_traces_limit(self):
traces = [
_MockTrace(outcome="failure") for _ in range(100)
]
policy = AgentAdvisorPolicy(max_traces=10)
store = _MockTraceStore(traces)
result = policy.update(store)
# Should only analyze last 10 traces
assert result["problem_traces"] <= 10