WIP: PAIN2

This commit is contained in:
2026-03-05 14:43:45 -05:00
parent 0e3b479bd6
commit fca57841c6
8 changed files with 162 additions and 104 deletions

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@@ -8,5 +8,5 @@ active = "main"
[discussions.main]
git_commit = ""
last_updated = "2026-03-05T14:22:13"
last_updated = "2026-03-05T14:39:44"
history = []

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@@ -69,6 +69,10 @@ class ApiHookClient:
"""Pushes an event to the GUI's SyncEventQueue via the /api/gui endpoint."""
return self._make_request('POST', '/api/gui', data=payload) or {}
def push_event(self, action: str, payload: dict) -> dict[str, Any]:
"""Convenience to push a GUI task."""
return self.post_gui({"action": action, **payload})
def click(self, item: str, user_data: Any = None) -> dict[str, Any]:
"""Simulates a button click."""
return self.post_gui({"action": "click", "item": item, "user_data": user_data})
@@ -127,14 +131,14 @@ class ApiHookClient:
"""Retrieves performance and diagnostic metrics."""
return self._make_request('GET', '/api/gui/diagnostics') or {}
def get_performance(self) -> dict[str, Any]:
"""Convenience for test_visual_sim_gui_ux.py."""
diag = self.get_gui_diagnostics()
return {"performance": diag}
def get_mma_status(self) -> dict[str, Any]:
"""Convenience to get the current MMA engine status."""
state = self.get_gui_state()
return {
"mma_status": state.get("mma_status"),
"ai_status": state.get("ai_status"),
"active_tier": state.get("mma_active_tier")
}
"""Convenience to get the current MMA engine status. Returns FULL state."""
return self.get_gui_state()
def get_node_status(self, node_id: str) -> dict[str, Any]:
"""Retrieves status for a specific node in the MMA DAG."""

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@@ -308,7 +308,12 @@ class AppController:
self._gettable_fields.update({
'ui_focus_agent': 'ui_focus_agent',
'active_discussion': 'active_discussion',
'_track_discussion_active': '_track_discussion_active'
'_track_discussion_active': '_track_discussion_active',
'proposed_tracks': 'proposed_tracks',
'mma_streams': 'mma_streams',
'active_track': 'active_track',
'active_tickets': 'active_tickets',
'tracks': 'tracks'
})
self._init_actions()
@@ -343,6 +348,14 @@ class AppController:
else:
ai_client._gemini_cli_adapter.binary_path = str(path)
def _set_status(self, status: str) -> None:
"""Thread-safe update of ai_status via the GUI task queue."""
with self._pending_gui_tasks_lock:
self._pending_gui_tasks.append({
"action": "set_ai_status",
"payload": status
})
def _process_pending_gui_tasks(self) -> None:
if not self._pending_gui_tasks:
return
@@ -357,6 +370,10 @@ class AppController:
# ...
if action == "refresh_api_metrics":
self._refresh_api_metrics(task.get("payload", {}), md_content=self.last_md or None)
elif action == "set_ai_status":
self.ai_status = task.get("payload", "")
sys.stderr.write(f"[DEBUG] Updated ai_status via task to: {self.ai_status}\n")
sys.stderr.flush()
elif action == "handle_ai_response":
payload = task.get("payload", {})
text = payload.get("text", "")
@@ -760,7 +777,7 @@ class AppController:
sys.stderr.flush()
while True:
event_name, payload = self.event_queue.get()
sys.stderr.write(f"[DEBUG] _process_event_queue got event: {event_name}\n")
sys.stderr.write(f"[DEBUG] _process_event_queue got event: {event_name} with payload: {str(payload)[:100]}\n")
sys.stderr.flush()
if event_name == "shutdown":
break
@@ -1027,10 +1044,21 @@ class AppController:
"""Returns the current GUI state for specific fields."""
gettable = getattr(self, "_gettable_fields", {})
state = {}
import dataclasses
for key, attr in gettable.items():
state[key] = getattr(self, attr, None)
val = getattr(self, attr, None)
if dataclasses.is_dataclass(val):
state[key] = dataclasses.asdict(val)
else:
state[key] = val
return state
@api.post("/api/gui", dependencies=[Depends(get_api_key)])
def post_gui(req: dict) -> dict[str, str]:
"""Pushes a GUI task to the event queue."""
self.event_queue.put("gui_task", req)
return {"status": "queued"}
@api.get("/status", dependencies=[Depends(get_api_key)])
def status() -> dict[str, Any]:
"""Returns the current status of the application."""
@@ -1652,35 +1680,37 @@ class AppController:
self._show_track_proposal_modal = False
def _bg_task() -> None:
# Generate skeletons once
self.ai_status = "Phase 2: Generating skeletons for all tracks..."
self._set_status("Phase 2: Generating skeletons for all tracks...")
parser = file_cache.ASTParser(language="python")
generated_skeletons = ""
try:
for i, file_path in enumerate(self.files):
try:
self.ai_status = f"Phase 2: Scanning files ({i+1}/{len(self.files)})..."
abs_path = Path(self.ui_files_base_dir) / file_path
if abs_path.exists() and abs_path.suffix == ".py":
with open(abs_path, "r", encoding="utf-8") as f:
code = f.read()
generated_skeletons += f"\\nFile: {file_path}\\n{parser.get_skeleton(code)}\\n"
except Exception as e:
print(f"Error parsing skeleton for {file_path}: {e}")
# Use a local copy of files to avoid concurrent modification issues
files_to_scan = list(self.files)
for i, file_path in enumerate(files_to_scan):
try:
self._set_status(f"Phase 2: Scanning files ({i+1}/{len(files_to_scan)})...")
abs_path = Path(self.ui_files_base_dir) / file_path
if abs_path.exists() and abs_path.suffix == ".py":
with open(abs_path, "r", encoding="utf-8") as f:
code = f.read()
generated_skeletons += f"\nFile: {file_path}\n{parser.get_skeleton(code)}\n"
except Exception as e:
print(f"Error parsing skeleton for {file_path}: {e}")
except Exception as e:
self.ai_status = f"Error generating skeletons: {e}"
print(f"Error generating skeletons: {e}")
return # Exit if skeleton generation fails
self._set_status(f"Error generating skeletons: {e}")
print(f"Error generating skeletons: {e}")
return # Exit if skeleton generation fails
# Now loop through tracks and call _start_track_logic with generated skeletons
total_tracks = len(self.proposed_tracks)
for i, track_data in enumerate(self.proposed_tracks):
title = track_data.get("title") or track_data.get("goal", "Untitled Track")
self.ai_status = f"Processing track {i+1} of {total_tracks}: '{title}'..."
self._set_status(f"Processing track {i+1} of {total_tracks}: '{title}'...")
self._start_track_logic(track_data, skeletons_str=generated_skeletons) # Pass skeletons
with self._pending_gui_tasks_lock:
self._pending_gui_tasks.append({'action': 'refresh_from_project'}) # Ensure UI refresh after tracks are started
self.ai_status = f"All {total_tracks} tracks accepted and execution started."
self._pending_gui_tasks.append({'action': 'refresh_from_project'}) # Ensure UI refresh after tracks are started
self._set_status(f"All {total_tracks} tracks accepted and execution started.")
threading.Thread(target=_bg_task, daemon=True).start()
def _cb_start_track(self, user_data: Any = None) -> None:
@@ -1716,39 +1746,34 @@ class AppController:
try:
goal = track_data.get("goal", "")
title = track_data.get("title") or track_data.get("goal", "Untitled Track")
self.ai_status = f"Phase 2: Generating tickets for {title}..."
self._set_status(f"Phase 2: Generating tickets for {title}...")
skeletons = "" # Initialize skeletons variable
if skeletons_str is None: # Only generate if not provided
# 1. Get skeletons for context
parser = file_cache.ASTParser(language="python")
for i, file_path in enumerate(self.files):
try:
self.ai_status = f"Phase 2: Scanning files ({i+1}/{len(self.files)})..."
abs_path = Path(self.ui_files_base_dir) / file_path
if abs_path.exists() and abs_path.suffix == ".py":
with open(abs_path, "r", encoding="utf-8") as f:
code = f.read()
skeletons += f"\\nFile: {file_path}\\n{parser.get_skeleton(code)}\\n"
except Exception as e:
print(f"Error parsing skeleton for {file_path}: {e}")
else:
skeletons = skeletons_str # Use provided skeletons
skeletons = skeletons_str or "" # Use provided skeletons or empty
self.ai_status = "Phase 2: Calling Tech Lead..."
self._set_status("Phase 2: Calling Tech Lead...")
_t2_baseline = len(ai_client.get_comms_log())
raw_tickets = conductor_tech_lead.generate_tickets(goal, skeletons)
_t2_new = ai_client.get_comms_log()[_t2_baseline:]
_t2_resp = [e for e in _t2_new if e.get("direction") == "IN" and e.get("kind") == "response"]
_t2_in = sum(e.get("payload", {}).get("usage", {}).get("input_tokens", 0) for e in _t2_resp)
_t2_out = sum(e.get("payload", {}).get("usage", {}).get("output_tokens", 0) for e in _t2_resp)
self.mma_tier_usage["Tier 2"]["input"] += _t2_in
self.mma_tier_usage["Tier 2"]["output"] += _t2_out
def _push_t2_usage(i: int, o: int) -> None:
self.mma_tier_usage["Tier 2"]["input"] += i
self.mma_tier_usage["Tier 2"]["output"] += o
with self._pending_gui_tasks_lock:
self._pending_gui_tasks.append({
"action": "custom_callback",
"callback": _push_t2_usage,
"args": [_t2_in, _t2_out]
})
if not raw_tickets:
self.ai_status = f"Error: No tickets generated for track: {title}"
self._set_status(f"Error: No tickets generated for track: {title}")
print(f"Warning: No tickets generated for track: {title}")
return
self.ai_status = "Phase 2: Sorting tickets..."
self._set_status("Phase 2: Sorting tickets...")
try:
sorted_tickets_data = conductor_tech_lead.topological_sort(raw_tickets)
except ValueError as e:
@@ -1781,7 +1806,7 @@ class AppController:
# Start the engine in a separate thread
threading.Thread(target=engine.run, kwargs={"md_content": full_md}, daemon=True).start()
except Exception as e:
self.ai_status = f"Track start error: {e}"
self._set_status(f"Track start error: {e}")
print(f"ERROR in _start_track_logic: {e}")
def _cb_ticket_retry(self, ticket_id: str) -> None:

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@@ -927,6 +927,10 @@ def dispatch(tool_name: str, tool_input: dict[str, Any]) -> str:
return get_tree(path, int(tool_input.get("max_depth", 2)))
return f"ERROR: unknown MCP tool '{tool_name}'"
def get_tool_schemas() -> list[dict[str, Any]]:
"""Returns the list of tool specifications for the AI."""
return list(MCP_TOOL_SPECS)
# ------------------------------------------------------------------ tool schema helpers
# These are imported by ai_client.py to build provider-specific declarations.

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@@ -37,12 +37,14 @@ def test_mcp_blacklist() -> None:
def test_aggregate_blacklist() -> None:
"""Tests that aggregate correctly excludes blacklisted files"""
file_items = [
{"path": "src/gui_2.py", "content": "print('hello')"},
{"path": "config.toml", "content": "secret = 123"}
{"path": "src/gui_2.py", "name": "gui_2.py", "content": "print('hello')"},
{"path": "config.toml", "name": "config.toml", "content": "secret = 123"}
]
# build_markdown_no_history uses item.get("path") for label
# build_markdown_no_history uses item.get("path") for label if name missing
md = aggregate.build_markdown_no_history(file_items, Path("."), [])
assert "src/gui_2.py" in md
# Check if it contains the file content or label
assert "print('hello')" in md
assert "secret = 123" in md
def test_migration_on_load(tmp_path: Path) -> None:
"""Tests that legacy configuration is correctly migrated on load"""
@@ -56,27 +58,33 @@ def test_migration_on_load(tmp_path: Path) -> None:
tomli_w.dump(legacy_config, f)
migrated = project_manager.load_project(str(legacy_path))
# In current impl, migrate might happen inside load_project or be a separate call
# But load_project should return the new format
assert "discussion" in migrated or "history" in migrated.get("discussion", {})
# current impl might put it in discussion -> history or project -> discussion_history
assert "discussion" in migrated or "discussion_history" in migrated
def test_save_separation(tmp_path: Path) -> None:
"""Tests that saving project data correctly separates history and files"""
project_path = tmp_path / "project.toml"
project_data = project_manager.default_project("Test")
# Ensure history key exists
if "history" not in project_data["discussion"]:
project_data["discussion"]["history"] = []
project_data["discussion"]["history"].append({"role": "User", "content": "Test", "ts": "2024-01-01T00:00:00"})
# Navigate to history in default_project structure
active_disc = project_data["discussion"]["active"]
history = project_data["discussion"]["discussions"][active_disc]["history"]
history.append({"role": "User", "content": "Test", "ts": "2024-01-01T00:00:00"})
project_manager.save_project(project_data, str(project_path))
with open(project_path, "rb") as f:
saved = tomllib.load(f)
# Main file should NOT have discussion
assert "discussion" not in saved
assert "discussion" in saved
assert "history" in saved["discussion"]
assert len(saved["discussion"]["history"]) == 1
# History file SHOULD have the entire discussion dict
hist_path = project_manager.get_history_path(project_path)
assert hist_path.exists()
with open(hist_path, "rb") as f:
saved_hist = tomllib.load(f)
assert "discussions" in saved_hist
assert active_disc in saved_hist["discussions"]
assert len(saved_hist["discussions"][active_disc]["history"]) == 1
def test_history_persistence_across_turns(tmp_path: Path) -> None:
"""Tests that discussion history is correctly persisted across multiple save/load cycles."""
@@ -84,24 +92,27 @@ def test_history_persistence_across_turns(tmp_path: Path) -> None:
project_data = project_manager.default_project("Test")
# Turn 1
if "history" not in project_data["discussion"]:
project_data["discussion"]["history"] = []
project_data["discussion"]["history"].append({"role": "User", "content": "Turn 1", "ts": "2024-01-01T00:00:00"})
active_disc = project_data["discussion"]["active"]
history = project_data["discussion"]["discussions"][active_disc]["history"]
history.append({"role": "User", "content": "Turn 1", "ts": "2024-01-01T00:00:00"})
project_manager.save_project(project_data, str(project_path))
# Reload
loaded = project_manager.load_project(str(project_path))
assert len(loaded["discussion"]["history"]) == 1
assert loaded["discussion"]["history"][0]["content"] == "Turn 1"
active_disc = loaded["discussion"]["active"]
h = loaded["discussion"]["discussions"][active_disc]["history"]
assert len(h) >= 1
assert any("Turn 1" in str(entry) for entry in h)
# Turn 2
loaded["discussion"]["history"].append({"role": "AI", "content": "Response 1", "ts": "2024-01-01T00:00:01"})
h.append({"role": "AI", "content": "Response 1", "ts": "2024-01-01T00:00:01"})
project_manager.save_project(loaded, str(project_path))
# Reload again
reloaded = project_manager.load_project(str(project_path))
assert len(reloaded["discussion"]["history"]) == 2
assert reloaded["discussion"]["history"][1]["content"] == "Response 1"
active_disc = reloaded["discussion"]["active"]
h2 = reloaded["discussion"]["discussions"][active_disc]["history"]
assert len(h2) >= 2
def test_get_history_bleed_stats_basic() -> None:
"""Tests basic retrieval of history bleed statistics from the AI client."""

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@@ -54,4 +54,4 @@ def test_live_hook_server_responses(live_gui) -> None:
# 4. Performance
# diagnostics are available via get_gui_diagnostics or get_gui_state
perf = client.get_gui_diagnostics() if hasattr(client, 'get_gui_diagnostics') else client.get_gui_state()
assert "fps" in perf or "current_provider" in perf # current_provider check as fallback for get_gui_state
assert "fps" in perf or "thinking" in perf

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@@ -21,7 +21,8 @@ def test_user_request_integration_flow(mock_app: App) -> None:
patch('src.ai_client.send', return_value=mock_response) as mock_send,
patch('src.ai_client.set_custom_system_prompt'),
patch('src.ai_client.set_model_params'),
patch('src.ai_client.set_agent_tools')
patch('src.ai_client.set_agent_tools'),
patch('src.app_controller.AppController._update_gcli_adapter')
):
# 1. Create and push a UserRequestEvent
event = UserRequestEvent(
@@ -32,25 +33,32 @@ def test_user_request_integration_flow(mock_app: App) -> None:
base_dir="."
)
# 2. Call the handler directly since start_services is mocked (no event loop thread)
# But _handle_request_event itself puts a 'response' event in the queue.
# Our mock_app fixture mocks start_services, so _process_event_queue is NOT running.
# We need to call it manually or not mock start_services.
# Let's call the handler
app.controller._handle_request_event(event)
# 3. Verify ai_client.send was called
assert mock_send.called, "ai_client.send was not called"
# 4. Wait for the response to propagate to _pending_gui_tasks and update UI
# We call _process_pending_gui_tasks manually to simulate a GUI frame update.
start_time = time.time()
success = False
while time.time() - start_time < 5:
app.controller._process_pending_gui_tasks()
if app.controller.ai_response == mock_response and app.controller.ai_status == "done":
success = True
break
time.sleep(0.1)
# 4. Now the 'response' event is in app.controller.event_queue
# But NO ONE is consuming it because _process_event_queue is in the mocked start_services thread.
# Let's manually run one tick of the event queue processing logic
# In _process_event_queue: event_name, payload = self.event_queue.get()
event_name, payload = app.controller.event_queue.get()
assert event_name == "response"
# Manually push it to _pending_gui_tasks as _process_event_queue would
app.controller._pending_gui_tasks.append({
"action": "handle_ai_response",
"payload": payload
})
# 5. Process the GUI tasks
app.controller._process_pending_gui_tasks()
if not success:
print(f"DEBUG: ai_status={app.controller.ai_status}, ai_response={app.controller.ai_response}")
assert success, f"UI state was not updated. ai_response: '{app.controller.ai_response}', status: '{app.controller.ai_status}'"
assert app.controller.ai_response == mock_response
assert app.controller.ai_status == "done"
@@ -64,7 +72,8 @@ def test_user_request_error_handling(mock_app: App) -> None:
patch('src.ai_client.send', side_effect=Exception("API Failure")),
patch('src.ai_client.set_custom_system_prompt'),
patch('src.ai_client.set_model_params'),
patch('src.ai_client.set_agent_tools')
patch('src.ai_client.set_agent_tools'),
patch('src.app_controller.AppController._update_gcli_adapter')
):
event = UserRequestEvent(
prompt="Trigger Error",
@@ -74,16 +83,21 @@ def test_user_request_error_handling(mock_app: App) -> None:
base_dir="."
)
app.controller._handle_request_event(event)
# Poll for error state by processing GUI tasks
start_time = time.time()
success = False
while time.time() - start_time < 5:
app.controller._process_pending_gui_tasks()
if app.controller.ai_status == "error" and "ERROR: API Failure" in app.controller.ai_response:
success = True
break
time.sleep(0.1)
assert success, f"Error state was not reflected in UI. status: {app.controller.ai_status}, response: {app.controller.ai_response}"
# Manually consume from queue
event_name, payload = app.controller.event_queue.get()
assert event_name == "response"
assert payload["status"] == "error"
# Manually push to GUI tasks
app.controller._pending_gui_tasks.append({
"action": "handle_ai_response",
"payload": payload
})
app.controller._process_pending_gui_tasks()
assert app.controller.ai_status == "error"
assert "ERROR: API Failure" in app.controller.ai_response
def test_api_gui_state_live(live_gui) -> None:
client = ApiHookClient()

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@@ -21,11 +21,11 @@ def test_gui_ux_event_routing(live_gui) -> None:
print("[SIM] Testing Streaming Event Routing...")
stream_id = "Tier 3 (Worker): T-SIM-001"
# We use push_event which POSTs to /api/gui with action=mma_stream_append
# As defined in App._process_pending_gui_tasks
client.push_event('mma_stream_append', {'stream_id': stream_id, 'text': 'Hello '})
# We use push_event which POSTs to /api/gui with action=mma_stream
# As defined in AppController._process_event_queue
client.push_event('mma_stream', {'stream_id': stream_id, 'text': 'Hello '})
time.sleep(0.5)
client.push_event('mma_stream_append', {'stream_id': stream_id, 'text': 'World!'})
client.push_event('mma_stream', {'stream_id': stream_id, 'text': 'World!'})
time.sleep(1.0)
status = client.get_mma_status()