g_multi_tasks_summary.ipynb

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   "source": [
    "Kitchens:  FloorPlan [ 1 : 20 ] FloorPlan[1:20] \n",
    "\n",
    "Living Rooms:  FloorPlan [ 201 : 220 ] FloorPlan[201:220] \n",
    "\n",
    "Bedrooms:  FloorPlan [ 301 : 320 ] FloorPlan[301:320] \n",
    "\n",
    "Bathrooms:  FloorPlan [ 401 : 420 ] FloorPlan[401:420]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json \n",
    "import numpy as np \n",
    "import os,sys \n",
    "import re \n",
    "import time \n",
    "\n",
    "from ai2thor.controller import Controller\n",
    "from NL2HLTLtaskPlanner import utils as util"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_path=\"/home/user/xsj/LLMTaskPlanning/alfred_multiagent/data/json_2.1.0/\"\n",
    "root_path_modified=\"/home/user/xsj/LLMTaskPlanning/alfred_multiagent/task_wo_position/\"\n",
    "root_path_len=len(root_path)\n",
    "# with open(os.path.join(root_path,'../../scene_dict.json'),'w') as f :\n",
    "#     f.write(json.dumps(scene_dict,sort_keys=False,indent=4,separators=(',',':')))\n",
    "with open(os.path.join(root_path,'../../scene_dict.json'),'r') as f :\n",
    "    scene_dict=json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_tasks_per_env=5\n",
    "max_tasks_composed=10\n",
    "np.random.seed(42)\n",
    "task_configs={}\n",
    "\n",
    "for scene_name in np.sort(list(scene_dict.keys())):\n",
    "    with open(os.path.join(root_path,'../../multiagent_longtasks/{}.json'.format(scene_name)),'r') as f :\n",
    "        task_config=json.load(f)\n",
    "    for n_task in range(1,max_tasks_composed):\n",
    "        if \"tasks_{}\".format(n_task) in task_config.keys():\n",
    "            task_lists=task_config[\"tasks_{}\".format(n_task)]\n",
    "            for idx in range(len(task_lists)):\n",
    "                if \"finetuned\" in task_lists[idx].keys():\n",
    "                    for id,compose in enumerate(np.sort(list(task_lists[idx][\"finetuned\"].keys()))):\n",
    "                        task_configs[\"{}|{}|compose_{}|fintune_{}\".format(scene_name,\"tasks_{}\".format(n_task),idx,id)]=task_lists[idx][\"finetuned\"][compose]\n",
    "                else:\n",
    "                    task_configs[\"{}|{}|compose_{}|fintune_1\".format(scene_name,\"tasks_{}\".format(n_task),idx)]=task_lists[idx][\"task_list\"][0]\n",
    "            \n",
    "with open(os.path.join(root_path,'../../multiagent_longtasks_summary.json'),'w') as f :\n",
    "    f.write(json.dumps(task_configs,sort_keys=False,indent=4,separators=(',',':')))\n"
   ]
  }
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