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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import threading\n",
    "import queue\n",
    "import secrets\n",
    "import concurrent.futures\n",
    "from typing import Callable, Any, Dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BackgroundTaskService:\n",
    "    def __init__(self, max_tasks: int):\n",
    "        self.max_tasks = max_tasks\n",
    "        self.task_queue = queue.Queue()\n",
    "        self.results = {}\n",
    "        self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=max_tasks)\n",
    "        self.lock = threading.Lock()  # To handle concurrent access to results dictionary\n",
    "        threading.Thread(target=self._worker, daemon=True).start()\n",
    "        self.registry={}\n",
    "    def register(self,func):\n",
    "        self.registry[func.__name__]=func\n",
    "    def _worker(self):\n",
    "        while True:\n",
    "            task_id, func, args = self.task_queue.get()\n",
    "            result = self.executor.submit(func, *args).result()\n",
    "            with self.lock:\n",
    "                self.results[task_id] = result\n",
    "\n",
    "    def launch_task(self, func_name, *args) -> Any:\n",
    "        func=self.registry[func_name]\n",
    "        if self.task_queue.qsize() >= self.max_tasks:\n",
    "            return \"Queue Full\"\n",
    "        task_id = secrets.token_hex(16)\n",
    "        self.task_queue.put((task_id, func, args))\n",
    "        with self.lock:\n",
    "            self.results[task_id] = \"In Progress\"\n",
    "        return task_id\n",
    "\n",
    "    def get_result(self, task_id) -> Any:\n",
    "        with self.lock:\n",
    "            return self.results.get(task_id, \"No such task\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "py310all",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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