fix(simulation): Resolve simulation timeouts and stabilize history checks
This commit is contained in:
30
gui_2.py
30
gui_2.py
@@ -92,10 +92,15 @@ AGENT_TOOL_NAMES: list[str] = [
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def truncate_entries(entries: list[dict[str, Any]], max_pairs: int) -> list[dict[str, Any]]:
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if max_pairs <= 0:
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return []
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target_count = max_pairs * 2
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if len(entries) <= target_count:
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return entries
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return entries[-target_count:]
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count = 0
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target = max_pairs * 2
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for i in range(len(entries) - 1, -1, -1):
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role = entries[i].get("role", "")
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if role in ("User", "AI"):
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count += 1
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if count == target:
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return entries[i:]
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return entries
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def _parse_history_entries(history: list[str], roles: list[str] | None = None) -> list[dict[str, Any]]:
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known = roles if roles is not None else DISC_ROLES
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@@ -1378,7 +1383,11 @@ class App:
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self._recalculate_session_usage()
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if md_content is not None:
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self._token_stats = ai_client.get_token_stats(md_content)
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stats = ai_client.get_token_stats(md_content)
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# Ensure compatibility if keys are named differently
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if "total_tokens" in stats and "estimated_prompt_tokens" not in stats:
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stats["estimated_prompt_tokens"] = stats["total_tokens"]
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self._token_stats = stats
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cache_stats = payload.get("cache_stats")
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if cache_stats:
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@@ -1415,6 +1424,13 @@ class App:
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def _confirm_and_run(self, script: str, base_dir: str, qa_callback: Optional[Callable[[str], str]] = None) -> str | None:
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print(f"[DEBUG] _confirm_and_run triggered for script length: {len(script)}")
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if self.test_hooks_enabled:
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print(f"[DEBUG] test_hooks_enabled is True; AUTO-APPROVING script execution in {base_dir}")
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self.ai_status = "running powershell..."
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output = shell_runner.run_powershell(script, base_dir, qa_callback=qa_callback)
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self._append_tool_log(script, output)
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self.ai_status = "powershell done, awaiting AI..."
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return output
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dialog = ConfirmDialog(script, base_dir)
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is_headless = "--headless" in sys.argv
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if is_headless:
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@@ -2732,9 +2748,9 @@ class App:
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imgui.text_disabled("Token stats unavailable")
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return
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pct = stats.get("utilization_pct", 0.0)
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current = stats.get("estimated_prompt_tokens", 0)
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current = stats.get("estimated_prompt_tokens", stats.get("total_tokens", 0))
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limit = stats.get("max_prompt_tokens", 0)
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headroom = stats.get("headroom_tokens", 0)
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headroom = stats.get("headroom_tokens", max(0, limit - current))
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if pct < 50.0:
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color = imgui.ImVec4(0.2, 0.8, 0.2, 1.0)
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elif pct < 80.0:
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