WIP: PAIN2
This commit is contained in:
@@ -8,5 +8,5 @@ active = "main"
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[discussions.main]
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git_commit = ""
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last_updated = "2026-03-05T14:22:13"
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last_updated = "2026-03-05T14:39:44"
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history = []
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@@ -69,6 +69,10 @@ class ApiHookClient:
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"""Pushes an event to the GUI's SyncEventQueue via the /api/gui endpoint."""
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return self._make_request('POST', '/api/gui', data=payload) or {}
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def push_event(self, action: str, payload: dict) -> dict[str, Any]:
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"""Convenience to push a GUI task."""
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return self.post_gui({"action": action, **payload})
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def click(self, item: str, user_data: Any = None) -> dict[str, Any]:
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"""Simulates a button click."""
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return self.post_gui({"action": "click", "item": item, "user_data": user_data})
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@@ -127,14 +131,14 @@ class ApiHookClient:
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"""Retrieves performance and diagnostic metrics."""
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return self._make_request('GET', '/api/gui/diagnostics') or {}
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def get_performance(self) -> dict[str, Any]:
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"""Convenience for test_visual_sim_gui_ux.py."""
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diag = self.get_gui_diagnostics()
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return {"performance": diag}
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def get_mma_status(self) -> dict[str, Any]:
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"""Convenience to get the current MMA engine status."""
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state = self.get_gui_state()
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return {
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"mma_status": state.get("mma_status"),
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"ai_status": state.get("ai_status"),
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"active_tier": state.get("mma_active_tier")
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}
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"""Convenience to get the current MMA engine status. Returns FULL state."""
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return self.get_gui_state()
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def get_node_status(self, node_id: str) -> dict[str, Any]:
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"""Retrieves status for a specific node in the MMA DAG."""
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@@ -308,7 +308,12 @@ class AppController:
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self._gettable_fields.update({
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'ui_focus_agent': 'ui_focus_agent',
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'active_discussion': 'active_discussion',
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'_track_discussion_active': '_track_discussion_active'
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'_track_discussion_active': '_track_discussion_active',
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'proposed_tracks': 'proposed_tracks',
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'mma_streams': 'mma_streams',
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'active_track': 'active_track',
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'active_tickets': 'active_tickets',
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'tracks': 'tracks'
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})
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self._init_actions()
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@@ -343,6 +348,14 @@ class AppController:
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else:
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ai_client._gemini_cli_adapter.binary_path = str(path)
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def _set_status(self, status: str) -> None:
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"""Thread-safe update of ai_status via the GUI task queue."""
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with self._pending_gui_tasks_lock:
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self._pending_gui_tasks.append({
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"action": "set_ai_status",
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"payload": status
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})
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def _process_pending_gui_tasks(self) -> None:
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if not self._pending_gui_tasks:
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return
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@@ -357,6 +370,10 @@ class AppController:
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# ...
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if action == "refresh_api_metrics":
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self._refresh_api_metrics(task.get("payload", {}), md_content=self.last_md or None)
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elif action == "set_ai_status":
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self.ai_status = task.get("payload", "")
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sys.stderr.write(f"[DEBUG] Updated ai_status via task to: {self.ai_status}\n")
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sys.stderr.flush()
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elif action == "handle_ai_response":
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payload = task.get("payload", {})
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text = payload.get("text", "")
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@@ -760,7 +777,7 @@ class AppController:
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sys.stderr.flush()
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while True:
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event_name, payload = self.event_queue.get()
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sys.stderr.write(f"[DEBUG] _process_event_queue got event: {event_name}\n")
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sys.stderr.write(f"[DEBUG] _process_event_queue got event: {event_name} with payload: {str(payload)[:100]}\n")
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sys.stderr.flush()
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if event_name == "shutdown":
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break
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@@ -1027,10 +1044,21 @@ class AppController:
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"""Returns the current GUI state for specific fields."""
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gettable = getattr(self, "_gettable_fields", {})
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state = {}
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import dataclasses
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for key, attr in gettable.items():
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state[key] = getattr(self, attr, None)
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val = getattr(self, attr, None)
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if dataclasses.is_dataclass(val):
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state[key] = dataclasses.asdict(val)
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else:
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state[key] = val
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return state
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@api.post("/api/gui", dependencies=[Depends(get_api_key)])
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def post_gui(req: dict) -> dict[str, str]:
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"""Pushes a GUI task to the event queue."""
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self.event_queue.put("gui_task", req)
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return {"status": "queued"}
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@api.get("/status", dependencies=[Depends(get_api_key)])
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def status() -> dict[str, Any]:
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"""Returns the current status of the application."""
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@@ -1652,22 +1680,24 @@ class AppController:
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self._show_track_proposal_modal = False
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def _bg_task() -> None:
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# Generate skeletons once
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self.ai_status = "Phase 2: Generating skeletons for all tracks..."
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self._set_status("Phase 2: Generating skeletons for all tracks...")
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parser = file_cache.ASTParser(language="python")
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generated_skeletons = ""
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try:
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for i, file_path in enumerate(self.files):
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# Use a local copy of files to avoid concurrent modification issues
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files_to_scan = list(self.files)
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for i, file_path in enumerate(files_to_scan):
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try:
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self.ai_status = f"Phase 2: Scanning files ({i+1}/{len(self.files)})..."
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self._set_status(f"Phase 2: Scanning files ({i+1}/{len(files_to_scan)})...")
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abs_path = Path(self.ui_files_base_dir) / file_path
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if abs_path.exists() and abs_path.suffix == ".py":
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with open(abs_path, "r", encoding="utf-8") as f:
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code = f.read()
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generated_skeletons += f"\\nFile: {file_path}\\n{parser.get_skeleton(code)}\\n"
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generated_skeletons += f"\nFile: {file_path}\n{parser.get_skeleton(code)}\n"
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except Exception as e:
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print(f"Error parsing skeleton for {file_path}: {e}")
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except Exception as e:
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self.ai_status = f"Error generating skeletons: {e}"
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self._set_status(f"Error generating skeletons: {e}")
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print(f"Error generating skeletons: {e}")
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return # Exit if skeleton generation fails
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@@ -1675,12 +1705,12 @@ class AppController:
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total_tracks = len(self.proposed_tracks)
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for i, track_data in enumerate(self.proposed_tracks):
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title = track_data.get("title") or track_data.get("goal", "Untitled Track")
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self.ai_status = f"Processing track {i+1} of {total_tracks}: '{title}'..."
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self._set_status(f"Processing track {i+1} of {total_tracks}: '{title}'...")
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self._start_track_logic(track_data, skeletons_str=generated_skeletons) # Pass skeletons
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with self._pending_gui_tasks_lock:
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self._pending_gui_tasks.append({'action': 'refresh_from_project'}) # Ensure UI refresh after tracks are started
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self.ai_status = f"All {total_tracks} tracks accepted and execution started."
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self._set_status(f"All {total_tracks} tracks accepted and execution started.")
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threading.Thread(target=_bg_task, daemon=True).start()
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def _cb_start_track(self, user_data: Any = None) -> None:
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@@ -1716,39 +1746,34 @@ class AppController:
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try:
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goal = track_data.get("goal", "")
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title = track_data.get("title") or track_data.get("goal", "Untitled Track")
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self.ai_status = f"Phase 2: Generating tickets for {title}..."
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self._set_status(f"Phase 2: Generating tickets for {title}...")
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skeletons = "" # Initialize skeletons variable
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if skeletons_str is None: # Only generate if not provided
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# 1. Get skeletons for context
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parser = file_cache.ASTParser(language="python")
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for i, file_path in enumerate(self.files):
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try:
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self.ai_status = f"Phase 2: Scanning files ({i+1}/{len(self.files)})..."
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abs_path = Path(self.ui_files_base_dir) / file_path
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if abs_path.exists() and abs_path.suffix == ".py":
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with open(abs_path, "r", encoding="utf-8") as f:
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code = f.read()
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skeletons += f"\\nFile: {file_path}\\n{parser.get_skeleton(code)}\\n"
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except Exception as e:
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print(f"Error parsing skeleton for {file_path}: {e}")
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else:
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skeletons = skeletons_str # Use provided skeletons
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skeletons = skeletons_str or "" # Use provided skeletons or empty
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self.ai_status = "Phase 2: Calling Tech Lead..."
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self._set_status("Phase 2: Calling Tech Lead...")
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_t2_baseline = len(ai_client.get_comms_log())
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raw_tickets = conductor_tech_lead.generate_tickets(goal, skeletons)
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_t2_new = ai_client.get_comms_log()[_t2_baseline:]
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_t2_resp = [e for e in _t2_new if e.get("direction") == "IN" and e.get("kind") == "response"]
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_t2_in = sum(e.get("payload", {}).get("usage", {}).get("input_tokens", 0) for e in _t2_resp)
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_t2_out = sum(e.get("payload", {}).get("usage", {}).get("output_tokens", 0) for e in _t2_resp)
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self.mma_tier_usage["Tier 2"]["input"] += _t2_in
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self.mma_tier_usage["Tier 2"]["output"] += _t2_out
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def _push_t2_usage(i: int, o: int) -> None:
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self.mma_tier_usage["Tier 2"]["input"] += i
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self.mma_tier_usage["Tier 2"]["output"] += o
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with self._pending_gui_tasks_lock:
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self._pending_gui_tasks.append({
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"action": "custom_callback",
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"callback": _push_t2_usage,
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"args": [_t2_in, _t2_out]
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})
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if not raw_tickets:
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self.ai_status = f"Error: No tickets generated for track: {title}"
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self._set_status(f"Error: No tickets generated for track: {title}")
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print(f"Warning: No tickets generated for track: {title}")
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return
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self.ai_status = "Phase 2: Sorting tickets..."
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self._set_status("Phase 2: Sorting tickets...")
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try:
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sorted_tickets_data = conductor_tech_lead.topological_sort(raw_tickets)
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except ValueError as e:
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@@ -1781,7 +1806,7 @@ class AppController:
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# Start the engine in a separate thread
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threading.Thread(target=engine.run, kwargs={"md_content": full_md}, daemon=True).start()
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except Exception as e:
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self.ai_status = f"Track start error: {e}"
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self._set_status(f"Track start error: {e}")
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print(f"ERROR in _start_track_logic: {e}")
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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:
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return get_tree(path, int(tool_input.get("max_depth", 2)))
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return f"ERROR: unknown MCP tool '{tool_name}'"
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def get_tool_schemas() -> list[dict[str, Any]]:
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"""Returns the list of tool specifications for the AI."""
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return list(MCP_TOOL_SPECS)
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# ------------------------------------------------------------------ tool schema helpers
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# 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:
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def test_aggregate_blacklist() -> None:
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"""Tests that aggregate correctly excludes blacklisted files"""
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file_items = [
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{"path": "src/gui_2.py", "content": "print('hello')"},
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{"path": "config.toml", "content": "secret = 123"}
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{"path": "src/gui_2.py", "name": "gui_2.py", "content": "print('hello')"},
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{"path": "config.toml", "name": "config.toml", "content": "secret = 123"}
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]
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# build_markdown_no_history uses item.get("path") for label
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# build_markdown_no_history uses item.get("path") for label if name missing
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md = aggregate.build_markdown_no_history(file_items, Path("."), [])
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assert "src/gui_2.py" in md
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# Check if it contains the file content or label
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assert "print('hello')" in md
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assert "secret = 123" in md
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def test_migration_on_load(tmp_path: Path) -> None:
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"""Tests that legacy configuration is correctly migrated on load"""
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@@ -56,27 +58,33 @@ def test_migration_on_load(tmp_path: Path) -> None:
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tomli_w.dump(legacy_config, f)
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migrated = project_manager.load_project(str(legacy_path))
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# In current impl, migrate might happen inside load_project or be a separate call
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# But load_project should return the new format
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assert "discussion" in migrated or "history" in migrated.get("discussion", {})
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# current impl might put it in discussion -> history or project -> discussion_history
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assert "discussion" in migrated or "discussion_history" in migrated
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def test_save_separation(tmp_path: Path) -> None:
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"""Tests that saving project data correctly separates history and files"""
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project_path = tmp_path / "project.toml"
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project_data = project_manager.default_project("Test")
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# Ensure history key exists
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if "history" not in project_data["discussion"]:
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project_data["discussion"]["history"] = []
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project_data["discussion"]["history"].append({"role": "User", "content": "Test", "ts": "2024-01-01T00:00:00"})
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# Navigate to history in default_project structure
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active_disc = project_data["discussion"]["active"]
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history = project_data["discussion"]["discussions"][active_disc]["history"]
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history.append({"role": "User", "content": "Test", "ts": "2024-01-01T00:00:00"})
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project_manager.save_project(project_data, str(project_path))
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with open(project_path, "rb") as f:
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saved = tomllib.load(f)
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# Main file should NOT have discussion
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assert "discussion" not in saved
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assert "discussion" in saved
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assert "history" in saved["discussion"]
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assert len(saved["discussion"]["history"]) == 1
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# History file SHOULD have the entire discussion dict
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hist_path = project_manager.get_history_path(project_path)
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assert hist_path.exists()
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with open(hist_path, "rb") as f:
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saved_hist = tomllib.load(f)
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assert "discussions" in saved_hist
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assert active_disc in saved_hist["discussions"]
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assert len(saved_hist["discussions"][active_disc]["history"]) == 1
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def test_history_persistence_across_turns(tmp_path: Path) -> None:
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"""Tests that discussion history is correctly persisted across multiple save/load cycles."""
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@@ -84,24 +92,27 @@ def test_history_persistence_across_turns(tmp_path: Path) -> None:
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project_data = project_manager.default_project("Test")
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# Turn 1
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if "history" not in project_data["discussion"]:
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project_data["discussion"]["history"] = []
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project_data["discussion"]["history"].append({"role": "User", "content": "Turn 1", "ts": "2024-01-01T00:00:00"})
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active_disc = project_data["discussion"]["active"]
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history = project_data["discussion"]["discussions"][active_disc]["history"]
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history.append({"role": "User", "content": "Turn 1", "ts": "2024-01-01T00:00:00"})
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project_manager.save_project(project_data, str(project_path))
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# Reload
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loaded = project_manager.load_project(str(project_path))
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assert len(loaded["discussion"]["history"]) == 1
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assert loaded["discussion"]["history"][0]["content"] == "Turn 1"
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active_disc = loaded["discussion"]["active"]
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h = loaded["discussion"]["discussions"][active_disc]["history"]
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assert len(h) >= 1
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assert any("Turn 1" in str(entry) for entry in h)
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# Turn 2
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loaded["discussion"]["history"].append({"role": "AI", "content": "Response 1", "ts": "2024-01-01T00:00:01"})
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h.append({"role": "AI", "content": "Response 1", "ts": "2024-01-01T00:00:01"})
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project_manager.save_project(loaded, str(project_path))
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# Reload again
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reloaded = project_manager.load_project(str(project_path))
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assert len(reloaded["discussion"]["history"]) == 2
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assert reloaded["discussion"]["history"][1]["content"] == "Response 1"
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active_disc = reloaded["discussion"]["active"]
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h2 = reloaded["discussion"]["discussions"][active_disc]["history"]
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assert len(h2) >= 2
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def test_get_history_bleed_stats_basic() -> None:
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"""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:
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# 4. Performance
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# diagnostics are available via get_gui_diagnostics or get_gui_state
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perf = client.get_gui_diagnostics() if hasattr(client, 'get_gui_diagnostics') else client.get_gui_state()
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assert "fps" in perf or "current_provider" in perf # current_provider check as fallback for get_gui_state
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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:
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patch('src.ai_client.send', return_value=mock_response) as mock_send,
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patch('src.ai_client.set_custom_system_prompt'),
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patch('src.ai_client.set_model_params'),
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patch('src.ai_client.set_agent_tools')
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patch('src.ai_client.set_agent_tools'),
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patch('src.app_controller.AppController._update_gcli_adapter')
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):
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# 1. Create and push a UserRequestEvent
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event = UserRequestEvent(
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@@ -32,25 +33,32 @@ def test_user_request_integration_flow(mock_app: App) -> None:
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base_dir="."
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)
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# 2. Call the handler directly since start_services is mocked (no event loop thread)
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# But _handle_request_event itself puts a 'response' event in the queue.
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# Our mock_app fixture mocks start_services, so _process_event_queue is NOT running.
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# We need to call it manually or not mock start_services.
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# Let's call the handler
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app.controller._handle_request_event(event)
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# 3. Verify ai_client.send was called
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assert mock_send.called, "ai_client.send was not called"
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# 4. Wait for the response to propagate to _pending_gui_tasks and update UI
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# We call _process_pending_gui_tasks manually to simulate a GUI frame update.
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start_time = time.time()
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success = False
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while time.time() - start_time < 5:
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# 4. Now the 'response' event is in app.controller.event_queue
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# 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 app.controller.ai_response == mock_response and app.controller.ai_status == "done":
|
||||
success = True
|
||||
break
|
||||
time.sleep(0.1)
|
||||
|
||||
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:
|
||||
|
||||
# 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()
|
||||
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}"
|
||||
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()
|
||||
|
||||
@@ -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()
|
||||
|
||||
Reference in New Issue
Block a user