mirror of
https://github.com/trustgraph-ai/trustgraph.git
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178 lines
5.6 KiB
Python
178 lines
5.6 KiB
Python
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"""
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Contract tests for orchestrator message schemas.
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Verifies that AgentRequest/AgentStep with orchestration fields
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serialise and deserialise correctly through the Pulsar schema layer.
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"""
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import pytest
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import json
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from trustgraph.schema import AgentRequest, AgentStep, PlanStep
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@pytest.mark.contract
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class TestOrchestrationFieldContracts:
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"""Contract tests for orchestration fields on AgentRequest."""
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def test_agent_request_orchestration_fields_roundtrip(self):
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req = AgentRequest(
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question="Test question",
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user="testuser",
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collection="default",
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correlation_id="corr-123",
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parent_session_id="parent-sess",
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subagent_goal="What is X?",
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expected_siblings=4,
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pattern="react",
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task_type="research",
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framing="Focus on accuracy",
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conversation_id="conv-456",
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)
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assert req.correlation_id == "corr-123"
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assert req.parent_session_id == "parent-sess"
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assert req.subagent_goal == "What is X?"
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assert req.expected_siblings == 4
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assert req.pattern == "react"
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assert req.task_type == "research"
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assert req.framing == "Focus on accuracy"
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assert req.conversation_id == "conv-456"
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def test_agent_request_orchestration_fields_default_empty(self):
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req = AgentRequest(
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question="Test question",
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user="testuser",
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)
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assert req.correlation_id == ""
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assert req.parent_session_id == ""
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assert req.subagent_goal == ""
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assert req.expected_siblings == 0
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assert req.pattern == ""
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assert req.task_type == ""
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assert req.framing == ""
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@pytest.mark.contract
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class TestSubagentCompletionStepContract:
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"""Contract tests for subagent-completion step type."""
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def test_subagent_completion_step_fields(self):
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step = AgentStep(
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thought="Subagent completed",
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action="complete",
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arguments={},
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observation="The answer text",
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step_type="subagent-completion",
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)
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assert step.step_type == "subagent-completion"
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assert step.observation == "The answer text"
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assert step.thought == "Subagent completed"
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assert step.action == "complete"
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def test_subagent_completion_in_request_history(self):
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step = AgentStep(
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thought="Subagent completed",
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action="complete",
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arguments={},
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observation="answer",
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step_type="subagent-completion",
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)
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req = AgentRequest(
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question="goal",
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user="testuser",
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correlation_id="corr-123",
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history=[step],
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)
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assert len(req.history) == 1
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assert req.history[0].step_type == "subagent-completion"
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assert req.history[0].observation == "answer"
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@pytest.mark.contract
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class TestSynthesisStepContract:
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"""Contract tests for synthesis step type with subagent_results."""
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def test_synthesis_step_with_results(self):
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results = {"goal-a": "answer-a", "goal-b": "answer-b"}
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step = AgentStep(
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thought="All subagents completed",
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action="aggregate",
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arguments={},
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observation=json.dumps(results),
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step_type="synthesise",
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subagent_results=results,
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)
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assert step.step_type == "synthesise"
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assert step.subagent_results == results
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assert json.loads(step.observation) == results
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def test_synthesis_request_matches_supervisor_expectations(self):
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"""The synthesis request built by the aggregator must be
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recognisable by SupervisorPattern._synthesise()."""
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results = {"goal-a": "answer-a", "goal-b": "answer-b"}
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step = AgentStep(
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thought="All subagents completed",
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action="aggregate",
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arguments={},
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observation=json.dumps(results),
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step_type="synthesise",
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subagent_results=results,
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)
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req = AgentRequest(
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question="Original question",
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user="testuser",
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pattern="supervisor",
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correlation_id="",
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session_id="parent-sess",
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history=[step],
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)
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# SupervisorPattern checks for step_type='synthesise' with
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# subagent_results
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has_results = bool(
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req.history
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and any(
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getattr(h, 'step_type', '') == 'synthesise'
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and getattr(h, 'subagent_results', None)
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for h in req.history
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)
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)
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assert has_results
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# Pattern must be supervisor
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assert req.pattern == "supervisor"
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# Correlation ID must be empty (not re-intercepted)
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assert req.correlation_id == ""
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@pytest.mark.contract
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class TestPlanStepContract:
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"""Contract tests for plan steps in history."""
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def test_plan_step_in_history(self):
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plan = [
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PlanStep(goal="Step 1", tool_hint="knowledge-query",
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depends_on=[], status="completed", result="done"),
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PlanStep(goal="Step 2", tool_hint="",
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depends_on=[0], status="pending", result=""),
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]
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step = AgentStep(
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thought="Created plan",
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action="plan",
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step_type="plan",
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plan=plan,
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)
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assert step.step_type == "plan"
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assert len(step.plan) == 2
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assert step.plan[0].goal == "Step 1"
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assert step.plan[0].status == "completed"
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assert step.plan[1].depends_on == [0]
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