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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"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": 3,
"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",
" strout = strout + f\"\"\"\n",
" address: {r['vicinity']}\\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",
" plus code: {r['plus_code']['global_code']}\\n\\n\n",
" \"\"\"\n",
" return strout"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"\\n address: 587-589/7-9 ถ. รามอินทรา แขวงคันนายาว เขตคันนายาว กรุงเทพมหานคร 10230 ไทย\\n\\n location: {'lat': 13.8261789, 'lng': 100.6794462}\\n\\n name: แฟชั่นไอส์แลนด์\\n\\n opening hours: {'open_now': True}\\n\\n rating: 4.5\\n\\n \""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"find_place_from_text(\"fashion island\")"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# gplace_tools.py\n",
"from langgraph.prebuilt import ToolNode\n",
"from langchain_core.tools import tool\n",
"\n",
"find_place_from_text = tool(find_place_from_text)\n",
"nearby_search = tool(nearby_search)\n",
"\n",
"tools = [find_place_from_text, nearby_search]\n",
"\n",
"# Create ToolNodes for each tool\n",
"tool_node = ToolNode(tools)"
]
}
],
"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
}
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