525 lines
20 KiB
Python
525 lines
20 KiB
Python
import threading
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import time
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from typing import List
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import psutil
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import utils.icons as icons
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from modules.launcher.plugin_base import PluginBase
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from modules.launcher.result import Result
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class ProcessPlugin(PluginBase):
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"""
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Plugin for viewing and managing running processes with live CPU/RAM updates.
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"""
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def __init__(self):
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super().__init__()
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self.display_name = "Process Manager"
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self.description = "View and manage running processes"
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# Threading for auto-refresh
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self.refresh_thread = None
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self.stop_refresh = threading.Event()
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self.last_update = 0
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# CPU monitoring cache to get meaningful readings
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self._cpu_cache = {}
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self._last_cpu_update = 0
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def initialize(self):
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"""Initialize the process plugin."""
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self.set_triggers(["ps"])
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# Pre-populate CPU cache for immediate meaningful readings
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self._initialize_cpu_monitoring()
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self._start_refresh_thread()
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def _initialize_cpu_monitoring(self):
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"""Initialize CPU monitoring for all processes to get meaningful readings immediately."""
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try:
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for proc in psutil.process_iter(["pid"]):
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try:
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pid = proc.info["pid"]
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# Initialize CPU monitoring - this establishes baseline for future readings
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proc.cpu_percent()
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self._cpu_cache[pid] = proc
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except (
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psutil.NoSuchProcess,
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psutil.AccessDenied,
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psutil.ZombieProcess,
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):
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continue
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self._last_cpu_update = time.time()
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except Exception as e:
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print(f"ProcessPlugin: Error initializing CPU monitoring: {e}")
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def cleanup(self):
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"""Cleanup the process plugin."""
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self.stop_refresh.set()
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if self.refresh_thread:
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self.refresh_thread.join(timeout=1)
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# Clear CPU cache
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self._cpu_cache.clear()
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def _get_live_process_data(self):
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"""Get fresh live process data with CPU/RAM information, grouped by application."""
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try:
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current_time = time.time()
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# Initialize CPU monitoring if this is the first call or enough time has passed
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if current_time - self._last_cpu_update > 0.1: # Update every 100ms
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# Pre-populate CPU cache for all processes
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for proc in psutil.process_iter(["pid"]):
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try:
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pid = proc.info["pid"]
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# Initialize CPU monitoring - this call establishes baseline
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proc.cpu_percent()
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self._cpu_cache[pid] = proc
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except (
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psutil.NoSuchProcess,
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psutil.AccessDenied,
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psutil.ZombieProcess,
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):
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continue
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self._last_cpu_update = current_time
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# Group processes by application name
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app_groups = {}
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for proc in psutil.process_iter(["pid", "name", "status", "ppid"]):
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try:
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info = proc.info
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if info["status"] == psutil.STATUS_ZOMBIE:
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continue
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pid = info["pid"]
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name = info["name"] or "Unknown"
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# Get CPU percentage - use cached process if available for better readings
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if pid in self._cpu_cache:
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try:
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cpu_percent = self._cpu_cache[pid].cpu_percent()
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except (psutil.NoSuchProcess, psutil.AccessDenied):
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cpu_percent = proc.cpu_percent()
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self._cpu_cache[pid] = proc
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else:
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cpu_percent = proc.cpu_percent()
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self._cpu_cache[pid] = proc
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# Normalize CPU to 0-100% range (divide by number of cores)
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cpu_cores = psutil.cpu_count()
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if cpu_cores and cpu_percent > 0:
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cpu_percent = min(100.0, cpu_percent / cpu_cores)
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memory_info = proc.memory_info()
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memory_percent = proc.memory_percent()
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memory_mb = memory_info.rss / (1024 * 1024) if memory_info else 0
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process_data = {
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"pid": pid,
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"ppid": info["ppid"],
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"name": name,
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"cpu_percent": cpu_percent,
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"memory_percent": memory_percent,
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"memory_mb": memory_mb,
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"status": info["status"],
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}
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# Group processes by application name
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app_name = self._get_app_name(name)
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if app_name not in app_groups:
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app_groups[app_name] = []
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app_groups[app_name].append(process_data)
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except (
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psutil.NoSuchProcess,
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psutil.AccessDenied,
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psutil.ZombieProcess,
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):
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continue
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# Create grouped results
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grouped_processes = []
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for app_name, app_processes in app_groups.items():
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if len(app_processes) == 1:
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# Single process - show as individual
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proc = app_processes[0]
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proc["process_count"] = 1
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grouped_processes.append(proc)
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else:
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# Multiple processes - group them and sum resources
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total_cpu = sum(p["cpu_percent"] for p in app_processes)
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total_memory_mb = sum(p["memory_mb"] for p in app_processes)
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total_memory_percent = sum(
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p["memory_percent"] for p in app_processes
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)
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# Find the main process (usually the one with lowest PID)
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main_process = min(app_processes, key=lambda x: x["pid"])
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grouped_process = {
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# Use main process PID for killing
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"pid": main_process["pid"],
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"name": app_name,
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"cpu_percent": total_cpu,
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"memory_percent": total_memory_percent,
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"memory_mb": total_memory_mb,
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"status": main_process["status"],
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"process_count": len(app_processes),
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"child_pids": [p["pid"] for p in app_processes],
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}
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grouped_processes.append(grouped_process)
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# Clean up old entries from cache
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all_pids = set()
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for app_processes in app_groups.values():
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all_pids.update(p["pid"] for p in app_processes)
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self._cpu_cache = {
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pid: proc for pid, proc in self._cpu_cache.items() if pid in all_pids
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}
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# Sort by combined CPU and memory usage for better display
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grouped_processes.sort(
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key=lambda x: (x["cpu_percent"] + x["memory_percent"]), reverse=True
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)
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return grouped_processes
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except Exception as e:
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print(f"ProcessPlugin: Error getting process data: {e}")
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return []
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def _get_app_name(self, process_name: str) -> str:
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"""Extract application name from process name, handling common patterns."""
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# Remove common suffixes and normalize
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name = process_name.lower()
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# Handle common browser patterns
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if "firefox" in name:
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return "Firefox"
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elif "chrome" in name or "chromium" in name:
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return "Chrome"
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elif "zen" in name or name in [
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"socket process",
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"privileged cont",
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"rdd process",
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"isolated web co",
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"web content",
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"webextensions",
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"utility process",
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"isolated servic",
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]:
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return "Zen Browser"
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elif "code" in name and ("helper" in name or "oss" in name or name == "code"):
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return "VS Code"
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elif name.startswith("python") and len(name) > 6:
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return "Python"
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elif name.startswith("node") and len(name) > 4:
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return "Node.js"
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elif "electron" in name:
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return "Electron"
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elif "java" in name:
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return "Java"
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elif "gnome" in name:
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return "GNOME"
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elif "gtk" in name:
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return "GTK App"
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# Remove common suffixes
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suffixes = [
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"-bin",
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"-real",
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"-wrapped",
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".bin",
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".exe",
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"-helper",
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"-gpu",
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"-renderer",
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]
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for suffix in suffixes:
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if name.endswith(suffix):
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name = name[: -len(suffix)]
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break
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# Capitalize first letter
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return name.capitalize()
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def query(self, query_string: str) -> List[Result]:
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"""Search for processes matching the query with live updates - ALWAYS FRESH DATA."""
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# ALWAYS get completely fresh data - NO CACHING EVER
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processes = self._get_live_process_data()
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query = query_string.strip().lower()
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results = []
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# Filter processes based on query
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filtered_processes = processes
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if query:
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filtered_processes = [
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proc
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for proc in processes
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if query in proc["name"].lower() or query in str(proc["pid"])
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]
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# Limit to top 20 processes to avoid overwhelming the UI
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for proc in filtered_processes[:20]:
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result = self._create_process_result(proc)
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if result:
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results.append(result)
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return results
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def _create_process_result(self, proc_data: dict) -> Result:
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"""Create a Result object for a process or grouped application."""
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try:
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pid = proc_data["pid"]
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name = proc_data["name"]
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cpu_percent = proc_data["cpu_percent"]
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memory_percent = proc_data["memory_percent"]
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memory_mb = proc_data["memory_mb"]
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process_count = proc_data.get("process_count", 1)
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# Format the title with process count if grouped
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if process_count > 1:
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title = f"{name} ({process_count} processes)"
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else:
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title = f"{name} (PID: {pid})"
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# Add visual indicators for high usage
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cpu_indicator = (
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"🔥" if cpu_percent > 80 else "⚡" if cpu_percent > 50 else ""
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)
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mem_indicator = "💾" if memory_percent > 80 else ""
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subtitle = f"CPU: {cpu_percent:.1f}%{cpu_indicator} | Memory: {memory_mb:.1f}MB ({memory_percent:.1f}%){mem_indicator}"
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# Choose icon based on CPU usage
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if cpu_percent > 50:
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icon_markup = icons.cpu
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elif memory_percent > 50:
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icon_markup = icons.memory
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else:
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icon_markup = icons.terminal
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return Result(
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title=title,
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subtitle=subtitle,
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icon_markup=icon_markup,
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action=lambda: None, # No action on Enter - just show process info
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relevance=min(1.0, (cpu_percent + memory_percent) / 100.0),
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plugin_name=self.display_name,
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data={
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"type": "process",
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"pid": pid,
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"name": name,
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"cpu_percent": cpu_percent,
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"memory_percent": memory_percent,
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"memory_mb": memory_mb,
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"process_count": process_count,
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"child_pids": proc_data.get("child_pids", [pid]),
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"keep_launcher_open": True, # Keep launcher open to see live updates
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"alt_action": lambda data=proc_data: self._kill_process_group(data),
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},
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)
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except Exception as e:
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print(f"ProcessPlugin: Error creating process result: {e}")
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return None
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def _kill_process_group(self, proc_data: dict):
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"""Kill a process group (application with all its subprocesses)."""
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try:
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process_count = proc_data.get("process_count", 1)
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child_pids = proc_data.get("child_pids", [proc_data["pid"]])
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app_name = proc_data["name"]
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if process_count == 1:
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# Single process
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self._kill_process(proc_data["pid"])
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else:
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# Multiple processes - kill all
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killed_count = 0
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for pid in child_pids:
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if self._kill_process(pid, silent=True):
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killed_count += 1
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except Exception as e:
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print(f"✗ Error killing process group: {e}")
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def _kill_process(self, pid: int, silent: bool = False) -> bool:
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"""Kill a process by PID. Returns True if successful."""
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try:
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proc = psutil.Process(pid)
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proc_name = proc.name()
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# Try graceful termination first
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proc.terminate()
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# Wait a bit for graceful termination
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try:
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proc.wait(timeout=3)
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return True
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except psutil.TimeoutExpired:
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# Force kill if graceful termination failed
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proc.kill()
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if not silent:
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print(f"✓ Force killed process '{proc_name}' (PID: {pid})")
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return True
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except psutil.NoSuchProcess:
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if not silent:
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print(f"✗ Process {pid} not found - may have already been terminated")
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return False
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except psutil.AccessDenied:
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if not silent:
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print(
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f"✗ Access denied - cannot kill process {pid} (insufficient permissions)"
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)
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return False
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except Exception as e:
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if not silent:
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print(f"✗ Error killing process {pid}: {e}")
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return False
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def _start_refresh_thread(self):
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"""Start background thread for auto-refreshing process data in milliseconds."""
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def refresh_loop():
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# Check every 500ms for real-time updates
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while not self.stop_refresh.wait(0.5):
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current_time = time.time()
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if current_time - self.last_update >= 0.5: # Update every 500ms
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self.last_update = current_time
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# Update existing process labels without full refresh
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try:
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self._selective_force_refresh()
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except Exception:
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pass
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self.refresh_thread = threading.Thread(target=refresh_loop, daemon=True)
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self.refresh_thread.start()
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def _selective_force_refresh(self):
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"""Update process data in existing result items (like OTP plugin)."""
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try:
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import gc
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from gi.repository import GLib
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def do_update():
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try:
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for obj in gc.get_objects():
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if (
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hasattr(obj, "__class__")
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and obj.__class__.__name__ == "Launcher"
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and hasattr(obj, "results_box")
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and hasattr(obj, "visible")
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and obj.visible
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and hasattr(obj, "results")
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and obj.results
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):
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has_process_results = any(
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result.data and result.data.get("type") == "process"
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for result in obj.results
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if hasattr(result, "data") and result.data
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)
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if has_process_results:
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self._update_existing_process_labels(obj.results_box)
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return False
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except Exception:
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pass
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return False
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GLib.idle_add(do_update)
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except Exception:
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pass
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def _update_existing_process_labels(self, results_box):
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"""Update subtitle labels in existing ResultItem widgets with FRESH data (optimized)."""
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try:
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# Get fresh process data in background thread - optimized
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def get_data_async():
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return self._get_live_process_data()
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# Run data collection in background to avoid blocking UI
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import concurrent.futures
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with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
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future = executor.submit(get_data_async)
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try:
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current_processes = future.result(timeout=1.0) # 1 second timeout
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process_dict = {proc["pid"]: proc for proc in current_processes}
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for child in results_box.get_children():
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if (
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hasattr(child, "__class__")
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and child.__class__.__name__ == "ResultItem"
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and hasattr(child, "result")
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and hasattr(child.result, "data")
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and child.result.data
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and child.result.data.get("type") == "process"
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):
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self._update_process_result_item(child, process_dict)
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except concurrent.futures.TimeoutError:
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# Skip update if it takes too long
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pass
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except Exception as e:
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print(f"Error updating process labels: {e}")
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def _update_process_result_item(self, result_item, process_dict):
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"""Update both the title and subtitle of a specific process ResultItem."""
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try:
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pid = result_item.result.data.get("pid")
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if not pid or pid not in process_dict:
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return
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proc_data = process_dict[pid]
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cpu_percent = proc_data["cpu_percent"]
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memory_percent = proc_data["memory_percent"]
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memory_mb = proc_data["memory_mb"]
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# CPU is already normalized in _get_live_process_data, so no need to normalize again
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# Update the subtitle with live data
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cpu_indicator = (
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"🔥" if cpu_percent > 80 else "⚡" if cpu_percent > 50 else ""
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)
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mem_indicator = "💾" if memory_percent > 80 else ""
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new_subtitle = f"CPU: {cpu_percent:.1f}%{cpu_indicator} | Memory: {memory_mb:.1f}MB ({memory_percent:.1f}%){mem_indicator}"
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# Find and update the subtitle label widget
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self._find_and_update_subtitle_label(result_item, new_subtitle)
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# Update the result data for consistency
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result_item.result.data.update(
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{
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"cpu_percent": cpu_percent,
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"memory_percent": memory_percent,
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"memory_mb": memory_mb,
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}
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)
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except Exception as e:
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print(f"Error updating process result item: {e}")
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def _find_and_update_subtitle_label(self, result_item, new_subtitle):
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"""Find the subtitle label widget and update its text."""
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def find_subtitle_label(widget):
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if (
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hasattr(widget, "get_name")
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and widget.get_name() == "result-item-subtitle"
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):
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return widget
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if hasattr(widget, "get_children"):
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for child in widget.get_children():
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found = find_subtitle_label(child)
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if found:
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return found
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return None
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subtitle_label = find_subtitle_label(result_item)
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if subtitle_label and hasattr(subtitle_label, "set_text"):
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subtitle_label.set_text(new_subtitle)
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