395 lines
15 KiB
Python
395 lines
15 KiB
Python
"""
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MARK XL — Agent Executor
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Replaces google.generativeai with local Ollama via core.llm_client.
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"""
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import json
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import re
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import sys
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import threading
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import subprocess
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import tempfile
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import os
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from pathlib import Path
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from typing import Callable
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from agent.planner import create_plan, replan
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from agent.error_handler import analyze_error, generate_fix, ErrorDecision
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from core.llm_client import call_llm_text
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def get_base_dir() -> Path:
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if getattr(sys, "frozen", False):
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return Path(sys.executable).parent
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return Path(__file__).resolve().parent.parent
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BASE_DIR = get_base_dir()
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# ---------------------------------------------------------------------------
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# Code generation helper (replaces _run_generated_code with Gemini)
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# ---------------------------------------------------------------------------
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def _run_generated_code(description: str, speak: Callable | None = None) -> str:
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if speak:
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speak("Writing custom code for this task, sir.")
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home = Path.home()
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desktop = home / "Desktop"
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downloads = home / "Downloads"
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documents = home / "Documents"
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if not desktop.exists():
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try:
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import winreg
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key = winreg.OpenKey(
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winreg.HKEY_CURRENT_USER,
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r"Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders",
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)
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desktop = Path(winreg.QueryValueEx(key, "Desktop")[0])
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except Exception:
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pass
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system = (
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"You are an expert Python developer. "
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"Write clean, complete, working Python code. "
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"Use standard library + common packages. "
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"Install missing packages with subprocess + pip if needed. "
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"Return ONLY the Python code. No explanation, no markdown, no backticks.\n\n"
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f"SYSTEM PATHS:\n"
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f" Desktop = r'{desktop}'\n"
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f" Downloads = r'{downloads}'\n"
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f" Documents = r'{documents}'\n"
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f" Home = r'{home}'\n"
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)
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prompt = f"Write Python code to accomplish this task:\n\n{description}"
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try:
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code = call_llm_text(prompt, system=system)
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code = re.sub(r"```(?:python)?", "", code).strip().rstrip("`").strip()
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with tempfile.NamedTemporaryFile(
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mode="w", suffix=".py", delete=False, encoding="utf-8"
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) as f:
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f.write(code)
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tmp_path = f.name
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print(f"[Executor] 🐍 Running generated code: {tmp_path}")
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result = subprocess.run(
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[sys.executable, tmp_path],
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capture_output=True, text=True,
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timeout=120, cwd=str(Path.home()),
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)
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try:
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os.unlink(tmp_path)
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except Exception:
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pass
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output = result.stdout.strip()
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error = result.stderr.strip()
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if result.returncode == 0 and output:
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return output
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elif result.returncode == 0:
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return "Task completed successfully."
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elif error:
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raise RuntimeError(f"Code error: {error[:400]}")
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return "Completed."
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except subprocess.TimeoutExpired:
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raise RuntimeError("Generated code timed out after 120 seconds.")
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except RuntimeError:
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raise
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except Exception as e:
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raise RuntimeError(f"Generated code failed: {e}")
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# ---------------------------------------------------------------------------
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# Context injection
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# ---------------------------------------------------------------------------
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def _detect_language(text: str) -> str:
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try:
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return call_llm_text(
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f"What language is this text written in? "
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f"Reply with ONLY the language name in English (e.g. Turkish, English, French).\n\n"
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f"Text: {text[:200]}"
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).strip()
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except Exception:
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return "English"
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def _translate_to_goal_language(content: str, goal: str) -> str:
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if not goal:
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return content
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try:
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target_lang = _detect_language(goal)
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print(f"[Executor] 🌐 Translating to: {target_lang}")
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prompt = (
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f"You are a professional translator. "
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f"Translate the following text into {target_lang}.\n"
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f"IMPORTANT:\n"
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f"- Translate EVERYTHING, leave nothing in English\n"
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f"- Keep all facts, numbers, and data intact\n"
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f"- Keep the structure and formatting\n"
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f"- Output ONLY the translated text, nothing else\n\n"
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f"Text to translate:\n{content[:4000]}"
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)
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translated = call_llm_text(prompt)
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print(f"[Executor] ✅ Translation done ({target_lang})")
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return translated
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except Exception as e:
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print(f"[Executor] ⚠️ Translation failed: {e}")
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return content
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def _inject_context(params: dict, tool: str, step_results: dict, goal: str = "") -> dict:
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if not step_results:
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return params
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params = dict(params)
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if tool == "file_controller" and params.get("action") in ("write", "create_file"):
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content = params.get("content", "")
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if not content or len(content) < 50:
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all_results = [
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v for v in step_results.values()
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if v and len(v) > 100 and v not in ("Done.", "Completed.")
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]
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if all_results:
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combined = "\n\n---\n\n".join(all_results)
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translated = _translate_to_goal_language(combined, goal)
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params["content"] = translated
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print("[Executor] 💉 Injected + translated content")
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return params
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# ---------------------------------------------------------------------------
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# Tool routing
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# ---------------------------------------------------------------------------
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def _call_tool(tool: str, parameters: dict, speak: Callable | None) -> str:
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if tool == "open_app":
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from actions.open_app import open_app
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return open_app(parameters=parameters, player=None) or "Done."
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elif tool == "web_search":
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from actions.web_search import web_search
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return web_search(parameters=parameters, player=None) or "Done."
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elif tool == "game_updater":
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from actions.game_updater import game_updater
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return game_updater(parameters=parameters, player=None, speak=speak) or "Done."
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elif tool == "browser_control":
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from actions.browser_control import browser_control
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return browser_control(parameters=parameters, player=None) or "Done."
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elif tool == "file_controller":
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from actions.file_controller import file_controller
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return file_controller(parameters=parameters, player=None) or "Done."
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elif tool == "code_helper":
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from actions.code_helper import code_helper
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return code_helper(parameters=parameters, player=None, speak=speak) or "Done."
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elif tool == "dev_agent":
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from actions.dev_agent import dev_agent
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return dev_agent(parameters=parameters, player=None, speak=speak) or "Done."
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elif tool == "screen_process":
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from actions.screen_processor import screen_process
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result = screen_process(parameters=parameters, player=None)
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return result if isinstance(result, str) else "Screen captured and analyzed."
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elif tool == "send_message":
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from actions.send_message import send_message
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return send_message(parameters=parameters, player=None) or "Done."
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elif tool == "reminder":
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from actions.reminder import reminder
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return reminder(parameters=parameters, player=None) or "Done."
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elif tool == "youtube_video":
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from actions.youtube_video import youtube_video
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return youtube_video(parameters=parameters, player=None) or "Done."
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elif tool == "weather_report":
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from actions.weather_report import weather_action
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return weather_action(parameters=parameters, player=None) or "Done."
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elif tool == "computer_settings":
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from actions.computer_settings import computer_settings
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return computer_settings(parameters=parameters, player=None) or "Done."
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elif tool == "desktop_control":
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from actions.desktop import desktop_control
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return desktop_control(parameters=parameters, player=None) or "Done."
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elif tool == "computer_control":
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from actions.computer_control import computer_control
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return computer_control(parameters=parameters, player=None) or "Done."
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elif tool == "generated_code":
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description = parameters.get("description", "")
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if not description:
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raise ValueError("generated_code requires a 'description' parameter.")
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return _run_generated_code(description, speak=speak)
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elif tool == "flight_finder":
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from actions.flight_finder import flight_finder
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return flight_finder(parameters=parameters, player=None, speak=speak) or "Done."
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else:
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print(f"[Executor] ⚠️ Unknown tool '{tool}' — falling back to generated_code")
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return _run_generated_code(f"Accomplish this task: {parameters}", speak=speak)
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# ---------------------------------------------------------------------------
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# AgentExecutor
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# ---------------------------------------------------------------------------
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class AgentExecutor:
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MAX_REPLAN_ATTEMPTS = 2
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def execute(
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self,
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goal: str,
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speak: Callable | None = None,
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cancel_flag: threading.Event | None = None,
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) -> str:
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print(f"\n[Executor] 🎯 Goal: {goal}")
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replan_attempts = 0
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completed_steps: list = []
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step_results: dict = {}
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plan = create_plan(goal)
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while True:
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steps = plan.get("steps", [])
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if not steps:
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msg = "I couldn't create a valid plan for this task, sir."
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if speak: speak(msg)
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return msg
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success = True
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failed_step = None
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failed_error = ""
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for step in steps:
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if cancel_flag and cancel_flag.is_set():
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if speak: speak("Task cancelled, sir.")
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return "Task cancelled."
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step_num = step.get("step", "?")
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tool = step.get("tool", "generated_code")
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desc = step.get("description", "")
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params = step.get("parameters", {})
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params = _inject_context(params, tool, step_results, goal=goal)
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print(f"\n[Executor] ▶️ Step {step_num}: [{tool}] {desc}")
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attempt = 1
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step_ok = False
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while attempt <= 3:
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if cancel_flag and cancel_flag.is_set():
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break
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try:
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result = _call_tool(tool, params, speak)
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step_results[step_num] = result
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completed_steps.append(step)
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print(f"[Executor] ✅ Step {step_num} done: {str(result)[:100]}")
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step_ok = True
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break
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except Exception as e:
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error_msg = str(e)
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print(f"[Executor] ❌ Step {step_num} attempt {attempt} failed: {error_msg}")
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recovery = analyze_error(step, error_msg, attempt=attempt)
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decision = recovery["decision"]
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user_msg = recovery.get("user_message", "")
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if speak and user_msg:
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speak(user_msg)
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if decision == ErrorDecision.RETRY:
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attempt += 1
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import time; time.sleep(2)
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continue
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elif decision == ErrorDecision.SKIP:
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print(f"[Executor] ⏭️ Skipping step {step_num}")
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completed_steps.append(step)
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step_ok = True
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break
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elif decision == ErrorDecision.ABORT:
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msg = f"Task aborted, sir. {recovery.get('reason', '')}"
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if speak: speak(msg)
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return msg
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else: # REPLAN
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fix_suggestion = recovery.get("fix_suggestion", "")
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if fix_suggestion and tool != "generated_code":
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try:
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fixed_step = generate_fix(step, error_msg, fix_suggestion)
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if speak: speak("Trying an alternative approach, sir.")
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res = _call_tool(
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fixed_step["tool"],
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fixed_step["parameters"],
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speak,
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)
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step_results[step_num] = res
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completed_steps.append(step)
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step_ok = True
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break
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except Exception as fix_err:
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print(f"[Executor] ⚠️ Fix failed: {fix_err}")
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failed_step = step
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failed_error = error_msg
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success = False
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break
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if not step_ok and not failed_step:
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failed_step = step
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failed_error = "Max retries exceeded"
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success = False
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if not success:
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break
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if success:
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return self._summarize(goal, completed_steps, speak)
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if replan_attempts >= self.MAX_REPLAN_ATTEMPTS:
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msg = f"Task failed after {replan_attempts} replan attempts, sir."
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if speak: speak(msg)
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return msg
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if speak: speak("Adjusting my approach, sir.")
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replan_attempts += 1
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plan = replan(goal, completed_steps, failed_step, failed_error)
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def _summarize(self, goal: str, completed_steps: list, speak: Callable | None) -> str:
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fallback = f"All done, sir. Completed {len(completed_steps)} steps for: {goal[:60]}."
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steps_str = "\n".join(f"- {s.get('description', '')}" for s in completed_steps)
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prompt = (
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f'User goal: "{goal}"\n'
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f"Completed steps:\n{steps_str}\n\n"
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"Write a single natural sentence summarising what was accomplished. "
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"Address the user as 'sir'. Be direct and positive."
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)
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try:
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summary = call_llm_text(prompt)
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if summary:
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if speak: speak(summary)
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return summary
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except Exception:
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pass
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if speak: speak(fallback)
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return fallback
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