| name | bundled-dataset-search-tool |
| description | invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset. |
Overview
This skill provides six tools for searching the bundled dataset, always first use these tool scripts than writing code by yourself.
Installation
before using the tools, please install:
pip install pandas numpy requests
Tool 1 :Search Accommodations
Find accommodations for a specific city. The bundled script is located at scripts/search_accommodations.py. An Example:
from search_accommodations import Accommodations
acc = Accommodations()
result = acc.run("Seattle")
print(result)
Tool 2: Search Attractions
Query attractions for a given city. The bundled script is located at scripts/search_attractions.py. An Example:
from search_attractions import Attractions
attractions = Attractions()
print(attractions.run("New York"))
Tool 3: Search Cities
Map states to their cities from the background text file. The bundled script is located at scripts/search_cities.py. An Example:
from search_cities import Cities
cities = Cities()
print(cities.run("California"))
Tool 4: Search Driving Distance
Look up distance/duration between an origin and destination. The bundled script is located at scripts/search_driving_distance.py. An Example:
from search_driving_distance import GoogleDistanceMatrix
matrix = GoogleDistanceMatrix()
print(matrix.run("Seattle", "Portland", mode="driving"))
Tool 5: Search Flights
Filter the cleaned flights CSV for specific routes and dates. The bundled script is located at scripts/search_flights.py. An Example:
from search_flights import Flights
flights = Flights()
print(flights.run("New York", "Los Angeles", "2022-01-15"))
Tool 6: Search Restaurants
Query restaurants for a given city. The bundled script is located at scripts/search_restaurants.py. An example:
from search_restaurants import Restaurants
restaurants = Restaurants()
print(restaurants.run("San Francisco"))
