{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gplace\n",
    "\n",
    "location = \"13.744677,100.5295593\"  # Latitude and Longitude\n",
    "keyword = \"ร้านกาแฟ\"\n",
    "result = gplace.nearby_search(keyword, location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_place_from_text(location:str):\n",
    "    \"\"\"Finds a place and related data from the query text\"\"\"\n",
    "    \n",
    "    result = gplace.find_place_from_text(location)\n",
    "    r = result['candidates'][0]\n",
    "    return f\"\"\"\n",
    "    address: {r['formatted_address']}\\n\n",
    "    location: {r['geometry']['location']}\\n\n",
    "    name: {r['name']}\\n\n",
    "    opening hours: {r['opening_hours']}\\n\n",
    "    rating: {r['rating']}\\n\n",
    "    \"\"\"\n",
    "    \n",
    "def nearby_search(keyword:str, location:str, radius=2000, place_type=None):\n",
    "    \"\"\"Searches for many places nearby the location based on a keyword. using keyword like \\\"coffee shop\\\", \\\"restaurants\\\". radius is the range to search from the location\"\"\"\n",
    "    location = gplace.find_location(location, radius=radius)\n",
    "    result = gplace.nearby_search(keyword, location, radius)\n",
    "    \n",
    "    strout = \"\"\n",
    "    for r in result:\n",
    "        # Use .get() to handle missing keys\n",
    "        address = r.get('vicinity', 'N/A')\n",
    "        location_info = r.get('geometry', {}).get('location', 'N/A')\n",
    "        name = r.get('name', 'N/A')\n",
    "        opening_hours = r.get('opening_hours', 'N/A')\n",
    "        rating = r.get('rating', 'N/A')\n",
    "        plus_code = r.get('plus_code', {}).get('global_code', 'N/A')\n",
    "        \n",
    "        strout += f\"\"\"\n",
    "        address: {address}\\n\n",
    "        location: {location_info}\\n\n",
    "        name: {name}\\n\n",
    "        opening hours: {opening_hours}\\n\n",
    "        rating: {rating}\\n\n",
    "        plus code: {plus_code}\\n\\n\n",
    "        \"\"\"\n",
    "    return strout\n",
    "\n",
    "def nearby_dense_community(location:str, radius:int=2000):\n",
    "    \"\"\" getting nearby dense community such as (community mall, hotel, school, etc), by geomatric location, radius(in meters)\n",
    "    return list of location community nearby, name, community type.\n",
    "    \"\"\"\n",
    "    result = gplace.nearby_dense_community(location, radius)\n",
    "    \n",
    "    strout = \"\"\n",
    "    for r in result:\n",
    "        # Use .get() to handle missing keys\n",
    "        address = r.get('vicinity', 'N/A')\n",
    "        location_info = r.get('geometry', {}).get('location', 'N/A')\n",
    "        name = r.get('name', 'N/A')\n",
    "        opening_hours = r.get('opening_hours', 'N/A')\n",
    "        rating = r.get('rating', 'N/A')\n",
    "        plus_code = r.get('plus_code', {}).get('global_code', 'N/A')\n",
    "        \n",
    "        strout += f\"\"\"\n",
    "        name: {address}\\n\n",
    "        types: {location_info}\\n\n",
    "        \"\"\"\n",
    "    return strout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# gplace_tools.py\n",
    "from langgraph.prebuilt import ToolNode\n",
    "from langchain_core.tools import tool\n",
    "from langchain_core.tools import Tool\n",
    "from langchain_google_community import GoogleSearchAPIWrapper\n",
    "from langchain_community.document_loaders import WebBaseLoader\n",
    "\n",
    "import utils\n",
    "\n",
    "utils.load_env()\n",
    "\n",
    "search = GoogleSearchAPIWrapper()\n",
    "\n",
    "find_place_from_text = tool(find_place_from_text)\n",
    "nearby_search = tool(nearby_search)\n",
    "google_search = Tool(\n",
    "    name=\"google_search\",\n",
    "    description=\"Search Google for recent results.\",\n",
    "    func=search.run,\n",
    ")\n",
    "web_loader = Tool(\n",
    "    name=\"google_search\",\n",
    "    description=\"Search Google for recent results.\",\n",
    "    func=WebBaseLoader,\n",
    ")\n",
    "\n",
    "tools = [find_place_from_text, nearby_search]\n",
    "\n",
    "# Create ToolNodes for each tool\n",
    "tool_node = ToolNode(tools)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:141: LangChainDeprecationWarning: The method `BaseTool.__call__` was deprecated in langchain-core 0.1.47 and will be removed in 1.0. Use invoke instead.\n",
      "  warn_deprecated(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'Oct 16, 2020 ... ... กับสาขาใหม่อย่าง เท็กซัส ชิคเก้น PTT Station นวลจันทร์ ... Follow. B.S corset แผ่นรัดเอว. \\U000f1676. Follow. SalmonFarm By ม่อนอ้วน แซลมอนนอร์เวย์สด\\xa0... Oct 26, 2020 ... ... นวลจันทร์ - PTT Station บางแสน - PTT Station ประชาชื่น-นนทบุรี - PTT ... B.S corset แผ่นรัดเอว. \\U000f1676. Follow. Wizard Beer. \\U000f1676. Follow. Beertique. บริการตรวจสภาพรถ เช็ดระยะเปลี่ยนน้ำมันเครื่อง ครบวงจร ที่ Cockpit (ค็อกพิท) ศูนย์บริการรถยนต์ใกล้บ้านคุณ มีโปรโมชั่นสินค้ารถยนต์ เพียบ คลิก!! Nov 4, 2021 ... ... B.S.Williams, Orch. Album 3: t. 134 (1884); Calanthe turneri var ... Vernacular names. edit. lietuvių: Gaubtoji kalantė ไทย: อั้วนวลจันทร์ 33:31. ธนิก ศิริสุนทรไพบูลย์+ก้องภพ อัศวอารักษ์ VS กิตติพศ นวลจันทร์+กฤษฎิ์ ประภาศิริ BD U15 SF ... ธนิก ฟู (ที ไทยแลนด์)[4] VS ปัณณธร มหาพัณณาภรณ์ (ที ไทยแลนด์)[3] BS U13 Final. 818K Followers, 1178 Following, 5931 Posts - Nualphan Lamsam (@panglamsam) on Instagram: \"นวลพรรณ ล่ำซำ CEO เมืองไทยประกันภัย, นายกสมาคมกีฬาฟุตบอลแห่งประเทศไทย,\\xa0... Nov 25, 2020 ... ไทย : อั้วนวลจันทร์; eesti : õrn mudikäpp; lietuvių : Gaubtoji kalantė ... B.S.Williams, Orch. Album 3: t. 134 (1884); Calanthe turneri\\xa0... นวลจันทร์ ประดุจชนม์. ศศ.บ.(ภาษาอังกฤษ) มหาวิทยาลัยขอนแก่น ความเชี่ยวชาญ ... B.S. (Aerospace Engineering) Iowa State Univ., U.S.A. ความเชี่ยวชาญ: Email\\xa0... Jul 8, 2024 ... Moovit. วิธีการไปยัง ร้านไปรษณีย์ไทย จรเข้บัว 206 (นวลจันทร์) ที่ บึงกุ่ม โดย รถบัส, รถไฟใต้ดิน หรือ SkyTrain\\xa0... 51. Cetinkaya F, Tufekci BS, Kutluk G. A comparison of nebulized ... munity of central Thailand, a population-based study. J Med Assoc Thai 2002\\xa0...'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "google_search(\"BS SHOP THAILAND in นวลจันทร์\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}