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{
"cells": [
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2025-06-26T10:20:11.807176Z",
"start_time": "2025-06-26T10:20:11.800149Z"
}
},
"source": [
"\n",
"from pymongo.mongo_client import MongoClient\n",
"from pymongo.server_api import ServerApi\n",
"from dotenv import load_dotenv\n",
"load_dotenv()\n",
"import os\n",
"import json"
],
"outputs": [],
"execution_count": 9
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T10:16:45.879242Z",
"start_time": "2025-06-26T10:16:45.876031Z"
}
},
"cell_type": "code",
"source": "uri = os.getenv(\"MONGODB_URI\")",
"id": "2d2114f7ef19f868",
"outputs": [],
"execution_count": 3
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T10:16:47.798644Z",
"start_time": "2025-06-26T10:16:46.158912Z"
}
},
"cell_type": "code",
"source": [
"\n",
"# Create a new client and connect to the server\n",
"client = MongoClient(uri, server_api=ServerApi('1'))\n",
"\n",
"# Send a ping to confirm a successful connection\n",
"try:\n",
" client.admin.command('ping')\n",
" print(\"Pinged your deployment. You successfully connected to MongoDB!\")\n",
"except Exception as e:\n",
" print(e)"
],
"id": "11b5d4e1c554d3af",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pinged your deployment. You successfully connected to MongoDB!\n"
]
}
],
"execution_count": 4
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T10:18:48.684105Z",
"start_time": "2025-06-26T10:18:48.542880Z"
}
},
"cell_type": "code",
"source": "client.list_database_names()",
"id": "b26f8f320fe570f4",
"outputs": [
{
"data": {
"text/plain": [
"['admin', 'local']"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 8
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T13:51:22.341078Z",
"start_time": "2025-06-26T13:51:22.338610Z"
}
},
"cell_type": "code",
"source": [
"my_db = client[\"MAPF_Solver\"]\n",
"perfect_heuristics_col = my_db[\"perfect_heuristics\"]"
],
"id": "fd5280e0c814c23d",
"outputs": [],
"execution_count": 35
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T13:51:22.581004Z",
"start_time": "2025-06-26T13:51:22.578972Z"
}
},
"cell_type": "code",
"source": "",
"id": "9404c7961949bcaa",
"outputs": [],
"execution_count": 36
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T13:56:03.654179Z",
"start_time": "2025-06-26T13:55:54.602665Z"
}
},
"cell_type": "code",
"source": [
"# map_name = 'empty-32-32'\n",
"# map_name = 'maze-32-32-2'\n",
"# map_name = 'maze-32-32-4'\n",
"# map_name = 'random-32-32-10'\n",
"# map_name = 'random-32-32-20'\n",
"map_name = 'room-32-32-4'\n",
"\n",
"full_dir = f'logs_for_heuristics/h_dict_of_{map_name}.json'\n",
"with open(full_dir, \"r\") as f:\n",
" h_dict = json.load(f)\n",
" exists = perfect_heuristics_col.find_one({\"name\": map_name}) is not None\n",
" if not exists:\n",
" my_db[\"perfect_heuristics\"].insert_one({\n",
" 'name': map_name,\n",
" 'h_dict': h_dict\n",
" })\n",
" else:\n",
" print(f'The perfect heuristic of {map_name} already exists in the database.')"
],
"id": "368e02123432350d",
"outputs": [],
"execution_count": 49
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T13:52:27.343992Z",
"start_time": "2025-06-26T13:52:24.754651Z"
}
},
"cell_type": "code",
"source": "doc = perfect_heuristics_col.find_one({\"name\": map_name})",
"id": "c5e5ec57cefdbfe0",
"outputs": [],
"execution_count": 40
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-06-26T13:52:34.053818Z",
"start_time": "2025-06-26T13:52:34.042441Z"
}
},
"cell_type": "code",
"source": "h_dict = doc['h_dict']",
"id": "c8ebf6cb4e0133b8",
"outputs": [],
"execution_count": 41
},
{
"metadata": {},
"cell_type": "code",
"outputs": [],
"execution_count": null,
"source": "",
"id": "29bf5dd9783e2fcd"
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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