85 lines
3.2 KiB
Python
85 lines
3.2 KiB
Python
from unittest.mock import MagicMock, patch
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from src.multi_agent_conductor import ConductorEngine, run_worker_lifecycle
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from src.models import Ticket, Track, WorkerContext
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from src import ai_client
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def test_worker_streaming_intermediate():
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ticket = Ticket(id="T-001", description="Test", status="todo", assigned_to="worker")
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context = WorkerContext(ticket_id="T-001", model_name="test-model", messages=[])
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event_queue = MagicMock()
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with (
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patch("src.ai_client.send") as mock_send,
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patch("src.multi_agent_conductor._queue_put") as mock_q_put,
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patch("src.multi_agent_conductor.confirm_spawn", return_value=(True, "p", "c")),
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patch("src.ai_client.reset_session"),
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patch("src.ai_client.set_provider"),
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patch("src.ai_client.get_provider"),
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patch("src.ai_client.get_comms_log", return_value=[])
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):
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def side_effect(*args, **kwargs):
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cb = ai_client.comms_log_callback
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if cb:
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cb({"kind": "tool_call", "payload": {"name": "test_tool", "script": "echo hello"}})
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cb({"kind": "tool_result", "payload": {"name": "test_tool", "output": "hello"}})
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return "DONE"
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mock_send.side_effect = side_effect
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run_worker_lifecycle(ticket, context, event_queue=event_queue)
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# _queue_put(event_queue, event_name, payload)
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responses = [call.args[2] for call in mock_q_put.call_args_list if call.args[1] == "response"]
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assert any("[TOOL CALL]" in r.get("text", "") for r in responses)
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assert any("[TOOL RESULT]" in r.get("text", "") for r in responses)
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def test_per_tier_model_persistence():
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# Mock UI frameworks before importing gui_2
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mock_imgui = MagicMock()
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with patch.dict("sys.modules", {
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"imgui_bundle": MagicMock(),
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"imgui_bundle.imgui": mock_imgui,
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"imgui_bundle.hello_imgui": MagicMock(),
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"imgui_bundle.immapp": MagicMock(),
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}):
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from src.gui_2 import App
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with (
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patch("src.gui_2.project_manager.load_project", return_value={}),
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patch("src.gui_2.project_manager.migrate_from_legacy_config", return_value={}),
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patch("src.gui_2.project_manager.save_project"),
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patch("src.models.save_config"),
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patch("src.gui_2.theme.load_from_config"),
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patch("src.gui_2.ai_client.set_provider"),
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patch("src.gui_2.ai_client.list_models", return_value=["gpt-4", "claude-3"]),
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patch("src.performance_monitor.PerformanceMonitor"),
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patch("src.gui_2.api_hooks.HookServer"),
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patch("src.gui_2.session_logger.open_session")
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):
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app = App()
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app.controller.available_models = ["gpt-4", "claude-3"]
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tier = "Tier 3"
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model = "claude-3"
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# Simulate 'Tier Model Config' UI logic
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app.controller.mma_tier_usage[tier]["model"] = model
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app.controller.project.setdefault("mma", {}).setdefault("tier_models", {})[tier] = model
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assert app.controller.project["mma"]["tier_models"][tier] == model
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def test_retry_escalation():
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# This test verifies the retry escalation logic works
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# We test the core concept: when a ticket is blocked, retry_count should increment
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ticket = Ticket(id="T-001", description="Test", status="todo", assigned_to="worker")
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# Simulate what happens when a ticket gets blocked
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ticket.status = "blocked"
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ticket.retry_count += 1
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assert ticket.status == "blocked"
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assert ticket.retry_count == 1
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# Verify escalation can happen
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assert ticket.retry_count < 2 # Should be eligible for retry
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