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more manual corrections

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This commit is contained in:
Edward R. Gonzalez
2026-06-15 19:41:33 -04:00
parent 4514487283
commit 4910a703a7
3 changed files with 23 additions and 24 deletions
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simulation/user_agent.py
+1 -1
View File
@@ -72,7 +72,7 @@ class UserSimAgent:
break
try:
ai_client.set_custom_system_prompt(self.system_prompt)
response = ai_client.send(md_content="", user_message=last_ai_msg)
response = ai_client.send_result(md_content="", user_message=last_ai_msg)
finally:
ai_client.set_custom_system_prompt("")
return response
tests/test_ai_loop_regressions_20260614.py
-1
View File
@@ -55,7 +55,6 @@ def test_fr1_error_becomes_discussion_entry(mock_app: App, monkeypatch: pytest.M
err = ErrorInfo(kind=ErrorKind.NETWORK, message="connection refused", source="ai_client.test")
err_result = Result(data="", errors=[err])
monkeypatch.setattr(ai_client, "send_result", lambda *a, **kw: err_result)
monkeypatch.setattr(ai_client, "send", lambda *a, **kw: "")
monkeypatch.setattr(ai_client, "set_custom_system_prompt", lambda *a, **kw: None)
monkeypatch.setattr(ai_client, "set_base_system_prompt", lambda *a, **kw: None)
monkeypatch.setattr(ai_client, "set_use_default_base_prompt", lambda *a, **kw: None)
tests/test_conductor_engine_v2.py
+22 -22
View File
@@ -34,9 +34,9 @@ def test_conductor_engine_run_executes_tickets_in_order(monkeypatch: pytest.Monk
vlogger.log_state("T1 Status", "todo", "todo")
vlogger.log_state("T2 Status", "todo", "todo")
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
# We mock run_worker_lifecycle as it is expected to be in the same module
with patch("src.multi_agent_conductor.run_worker_lifecycle") as mock_lifecycle:
# Mocking lifecycle to mark ticket as complete so dependencies can be resolved
@@ -75,15 +75,15 @@ def test_run_worker_lifecycle_calls_ai_client_send(monkeypatch: pytest.MonkeyPat
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
from src.multi_agent_conductor import run_worker_lifecycle
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
mock_send.return_value = "Task complete. I have updated the file."
result = run_worker_lifecycle(ticket, context)
assert result == "Task complete. I have updated the file."
assert ticket.status == "completed"
mock_send.assert_called_once()
# Check if description was passed to send()
# Check if description was passed to send_result()
args, kwargs = mock_send.call_args
# user_message is passed as a keyword argument
assert ticket.description in kwargs["user_message"]
@@ -98,9 +98,9 @@ def test_run_worker_lifecycle_context_injection(monkeypatch: pytest.MonkeyPatch)
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
context_files = ["primary.py", "secondary.py"]
from src.multi_agent_conductor import run_worker_lifecycle
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
# We mock ASTParser which is expected to be imported in multi_agent_conductor
with patch("src.multi_agent_conductor.ASTParser") as mock_ast_parser_class, \
patch("builtins.open", new_callable=MagicMock) as mock_open:
@@ -144,9 +144,9 @@ def test_run_worker_lifecycle_handles_blocked_response(monkeypatch: pytest.Monke
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1")
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
from src.multi_agent_conductor import run_worker_lifecycle
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
# Simulate a response indicating a block
mock_send.return_value = "I am BLOCKED because I don't have enough information."
run_worker_lifecycle(ticket, context)
@@ -157,16 +157,16 @@ def test_run_worker_lifecycle_step_mode_confirmation(monkeypatch: pytest.MonkeyP
"""
Test that run_worker_lifecycle passes confirm_execution to ai_client.send when step_mode is True.
Verify that if confirm_execution is called (simulated by mocking ai_client.send to call its callback),
Test that run_worker_lifecycle passes confirm_execution to ai_client.send_result when step_mode is True.
Verify that if confirm_execution is called (simulated by mocking ai_client.send_result to call its callback),
the flow works as expected.
"""
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
from src.multi_agent_conductor import run_worker_lifecycle
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
# Important: confirm_spawn is called first if event_queue is present!
with patch("src.multi_agent_conductor.confirm_spawn") as mock_spawn, \
@@ -201,9 +201,9 @@ def test_run_worker_lifecycle_step_mode_rejection(monkeypatch: pytest.MonkeyPatc
ticket = Ticket(id="T1", description="Task 1", status="todo", assigned_to="worker1", step_mode=True)
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
from src.multi_agent_conductor import run_worker_lifecycle
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
with patch("src.multi_agent_conductor.confirm_spawn") as mock_spawn, \
patch("src.multi_agent_conductor.confirm_execution") as mock_confirm:
mock_spawn.return_value = (True, "mock prompt", "mock context")
@@ -213,7 +213,7 @@ def test_run_worker_lifecycle_step_mode_rejection(monkeypatch: pytest.MonkeyPatc
mock_event_queue = MagicMock()
run_worker_lifecycle(ticket, context, event_queue=mock_event_queue)
# Verify it was passed to send
# Verify it was passed to send_result
args, kwargs = mock_send.call_args
assert kwargs["pre_tool_callback"] is not None
@@ -257,9 +257,9 @@ def test_conductor_engine_dynamic_parsing_and_execution(monkeypatch: pytest.Monk
assert engine.track.tickets[0].id == "T1"
assert engine.track.tickets[1].id == "T2"
assert engine.track.tickets[2].id == "T3"
# Mock ai_client.send using monkeypatch
# Mock ai_client.send_result using monkeypatch
mock_send = MagicMock()
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
# Mock run_worker_lifecycle to mark tickets as complete
with patch("src.multi_agent_conductor.run_worker_lifecycle") as mock_lifecycle:
def side_effect(ticket, context, *args, **kwargs):
@@ -297,7 +297,7 @@ def test_run_worker_lifecycle_pushes_response_via_queue(monkeypatch: pytest.Monk
context = WorkerContext(ticket_id="T1", model_name="test-model", messages=[])
mock_event_queue = MagicMock()
mock_send = MagicMock(return_value="Task complete.")
monkeypatch.setattr(ai_client, 'send', mock_send)
monkeypatch.setattr(ai_client, 'send_result', mock_send)
monkeypatch.setattr(ai_client, 'reset_session', MagicMock())
from src.multi_agent_conductor import run_worker_lifecycle
with patch("src.multi_agent_conductor.confirm_spawn") as mock_spawn, \
@@ -326,11 +326,11 @@ def test_run_worker_lifecycle_token_usage_from_comms_log(monkeypatch: pytest.Mon
{"direction": "OUT", "kind": "request", "payload": {"message": "hello"}},
{"direction": "IN", "kind": "response", "payload": {"usage": {"input_tokens": 120, "output_tokens": 45}}},
]
monkeypatch.setattr(ai_client, 'send', MagicMock(return_value="Done."))
monkeypatch.setattr(ai_client, 'send_result', MagicMock(return_value="Done."))
monkeypatch.setattr(ai_client, 'reset_session', MagicMock())
monkeypatch.setattr(ai_client, 'get_comms_log', MagicMock(side_effect=[
[], # baseline call (before send)
fake_comms, # after-send call
[], # baseline call (before send_result)
fake_comms, # after-send_result call
]))
from src.multi_agent_conductor import run_worker_lifecycle, ConductorEngine
track = Track(id="test_track", description="Test")