feat(gui): Implement event-driven API metrics updates and decouple from render loop
This commit is contained in:
123
gui.py
123
gui.py
@@ -496,6 +496,11 @@ class App:
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self._is_script_blinking = False
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self._script_blink_start_time = 0.0
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# Subscribe to API lifecycle events
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ai_client.events.on("request_start", self._on_api_event)
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ai_client.events.on("response_received", self._on_api_event)
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ai_client.events.on("tool_execution", self._on_api_event)
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self.perf_monitor = PerformanceMonitor()
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self.perf_history = {
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"frame_time": [0.0] * 100,
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@@ -822,40 +827,44 @@ class App:
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total = usage["input_tokens"] + usage["output_tokens"]
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dpg.set_value("ai_token_usage", f"Tokens: {total} (In: {usage['input_tokens']} Out: {usage['output_tokens']})")
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def _update_telemetry_panel(self):
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"""Updates the token budget visualizer in the Provider panel."""
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# Update history bleed stats for all providers (throttled)
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now = time.time()
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if now - self._last_bleed_update_time > 2.0:
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self._last_bleed_update_time = now
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stats = ai_client.get_history_bleed_stats()
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if dpg.does_item_exist("token_budget_bar"):
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percentage = stats.get("percentage", 0.0)
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dpg.set_value("token_budget_bar", percentage / 100.0 if percentage else 0.0)
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if dpg.does_item_exist("token_budget_label"):
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current = stats.get("current", 0)
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limit = stats.get("limit", 0)
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dpg.set_value("token_budget_label", f"{current:,} / {limit:,}")
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def _on_api_event(self, *args, **kwargs):
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"""Callback for ai_client events. Queues a telemetry refresh on the main thread."""
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with self._pending_gui_tasks_lock:
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self._pending_gui_tasks.append({"action": "refresh_api_metrics"})
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# Update Gemini-specific cache stats (throttled with diagnostics)
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if now - self._last_diag_update_time > 10.0:
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self._last_diag_update_time = now
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if dpg.does_item_exist("gemini_cache_label"):
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if self.current_provider == "gemini":
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try:
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cache_stats = ai_client.get_gemini_cache_stats()
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count = cache_stats.get("cache_count", 0)
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size_bytes = cache_stats.get("total_size_bytes", 0)
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size_kb = size_bytes / 1024.0
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text = f"Gemini Caches: {count} ({size_kb:.1f} KB)"
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dpg.set_value("gemini_cache_label", text)
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dpg.configure_item("gemini_cache_label", show=True)
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except Exception as e:
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# If the API call fails, just hide the label
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dpg.configure_item("gemini_cache_label", show=False)
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else:
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def _refresh_api_metrics(self):
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"""Updates the token budget and cache stats visualizers."""
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self._last_bleed_update_time = time.time()
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# History bleed
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stats = ai_client.get_history_bleed_stats()
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if dpg.does_item_exist("token_budget_bar"):
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percentage = stats.get("percentage", 0.0)
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dpg.set_value("token_budget_bar", percentage / 100.0 if percentage else 0.0)
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if dpg.does_item_exist("token_budget_label"):
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current = stats.get("current", 0)
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limit = stats.get("limit", 0)
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dpg.set_value("token_budget_label", f"{current:,} / {limit:,}")
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# Gemini cache
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if dpg.does_item_exist("gemini_cache_label"):
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if self.current_provider == "gemini":
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try:
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cache_stats = ai_client.get_gemini_cache_stats()
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count = cache_stats.get("cache_count", 0)
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size_bytes = cache_stats.get("total_size_bytes", 0)
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size_kb = size_bytes / 1024.0
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text = f"Gemini Caches: {count} ({size_kb:.1f} KB)"
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dpg.set_value("gemini_cache_label", text)
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dpg.configure_item("gemini_cache_label", show=True)
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except Exception:
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dpg.configure_item("gemini_cache_label", show=False)
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else:
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dpg.configure_item("gemini_cache_label", show=False)
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def _update_performance_diagnostics(self):
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"""Updates performance diagnostics displays (throttled)."""
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now = time.time()
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# Update Diagnostics panel (throttled for smoothness)
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if now - self._last_perf_update_time > 0.5:
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@@ -2221,6 +2230,34 @@ class App:
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dpg.add_line_series(list(range(100)), self.perf_history["cpu"], label="cpu usage", tag="perf_cpu_plot")
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dpg.set_axis_limits("axis_cpu_y", 0, 100)
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def _process_pending_gui_tasks(self):
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"""Processes tasks queued from background threads on the main thread."""
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if not self._pending_gui_tasks:
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return
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with self._pending_gui_tasks_lock:
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gui_tasks = self._pending_gui_tasks[:]
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self._pending_gui_tasks.clear()
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for task in gui_tasks:
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try:
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action = task.get("action")
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if action == "set_value":
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item = task.get("item")
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val = task.get("value")
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if item and dpg.does_item_exist(item):
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dpg.set_value(item, val)
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elif action == "click":
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item = task.get("item")
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if item and dpg.does_item_exist(item):
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cb = dpg.get_item_callback(item)
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if cb:
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cb()
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elif action == "refresh_api_metrics":
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self._refresh_api_metrics()
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except Exception as e:
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print(f"Error executing GUI hook task: {e}")
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def run(self):
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dpg.create_context()
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dpg.configure_app(docking=True, docking_space=True, init_file="dpg_layout.ini")
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@@ -2272,25 +2309,7 @@ class App:
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# Process queued API GUI tasks
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self.perf_monitor.start_component("GUI_Tasks")
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with self._pending_gui_tasks_lock:
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gui_tasks = self._pending_gui_tasks[:]
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self._pending_gui_tasks.clear()
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for task in gui_tasks:
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try:
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action = task.get("action")
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if action == "set_value":
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item = task.get("item")
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val = task.get("value")
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if item and dpg.does_item_exist(item):
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dpg.set_value(item, val)
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elif action == "click":
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item = task.get("item")
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if item and dpg.does_item_exist(item):
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cb = dpg.get_item_callback(item)
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if cb:
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cb()
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except Exception as e:
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print(f"Error executing GUI hook task: {e}")
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self._process_pending_gui_tasks()
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self.perf_monitor.end_component("GUI_Tasks")
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# Handle retro arcade blinking effect
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@@ -2394,7 +2413,7 @@ class App:
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self.perf_monitor.end_component("Comms")
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self.perf_monitor.start_component("Telemetry")
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self._update_telemetry_panel()
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self._update_performance_diagnostics()
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self.perf_monitor.end_component("Telemetry")
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self.perf_monitor.end_frame()
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