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import gplace | |
# %% | |
def find_place_from_text(location:str): | |
"""Finds a place and related data from the query text""" | |
result = gplace.find_place_from_text(location) | |
r = result['candidates'][0] | |
return f""" | |
address: {r['formatted_address']}\n | |
location: {r['geometry']['location']}\n | |
name: {r['name']}\n | |
opening hours: {r['opening_hours']}\n | |
rating: {r['rating']}\n | |
""" | |
def nearby_search(keyword:str, location:str, radius=2000, place_type=None): | |
"""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""" | |
location = gplace.find_location(location, radius=radius) | |
result = gplace.nearby_search(keyword, location, radius) | |
strout = "" | |
for r in result: | |
strout = strout + f""" | |
address: {r['vicinity']}\n | |
location: {r['geometry']['location']}\n | |
name: {r['name']}\n | |
opening hours: {r['opening_hours']}\n | |
rating: {r['rating']}\n | |
plus code: {r['plus_code']['global_code']}\n\n | |
""" | |
return strout | |
# %% | |
# gplace_tools.py | |
from langgraph.prebuilt import ToolNode | |
from langchain_core.tools import tool | |
find_place_from_text = tool(find_place_from_text) | |
nearby_search = tool(nearby_search) | |
tools = [find_place_from_text, nearby_search] | |
# Create ToolNodes for each tool | |
tool_node = ToolNode(tools) | |