""" These are all the tools used in the NexusRaven V2 demo! You can provide any tools you want to Raven. Nothing in this file is specific to Raven, code/information related to Raven can be found in the `raven_demo.py` file. For more information about the Google Maps Places API Python client, see https://github.com/googlemaps/google-maps-services-python """ from typing import Any, Dict, List from math import radians, cos, sin, asin, sqrt import random import requests from googlemaps import Client from config import DemoConfig class Tools: def __init__(self, config: DemoConfig) -> None: self.config = config self.gmaps = Client(config.gmaps_client_key) self.client_ip: str | None = None def haversine(self, lon1, lat1, lon2, lat2) -> float: """ Calculate the great circle distance in kilometers between two points on the earth (specified in decimal degrees). """ # convert decimal degrees to radians lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2]) # haversine formula dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(dlat / 2) ** 2 + cos(lat1) * cos(lat2) * sin(dlon / 2) ** 2 c = 2 * asin(sqrt(a)) r = 6371 # Radius of Earth in kilometers. Use 3956 for miles return round(c * r, 2) def get_current_location(self) -> str: """ Returns the current location. ONLY use this if the user has not provided an explicit location in the query. """ location_data = self._get_current_location_information() city = location_data["city"] region = location_data["regionName"] country = location_data["countryCode"] location = f"{city}, {region}, {country}" return [location] def _get_current_location_information(self) -> Dict[str, Any] | None: default_response = { "lat": "37.7577607", "lon": "-122.4788854", "city": "San Francisco", "regionName": "California", "countryCode": "US", "country": "United States", "region": "CA", } try: response = requests.get( f"https://pro.ip-api.com/json/{self.client_ip}?key={self.config.ip_api_key}" ) if not response.ok: print(f"Not able to find user. Defaulting to {default_response}") return default_response response = response.json() if response["status"] != "success": print(f"Not able to find user. Defaulting to {default_response}") return default_response except: print(f"Not able to find user. Defaulting to {default_response}") return default_response print(f"User successfully located in {response}") return response def sort_results( self, places: list, sort: str, descending: bool = True, first_n: int = None ) -> List: """ Sorts the results by either 'distance', 'rating' or 'price'. - places (list): The output list from the recommendations. - sort (str): If set, sorts by either 'distance' or 'rating' or 'price'. ONLY supports 'distance' or 'rating' or 'price'. - descending (bool): If descending is set, setting this boolean to true will sort the results such that the highest values are first. - first_n (int): If provided, only retains the first n items in the final sorted list. When people ask for 'closest' or 'nearest', sort by 'distance'. When people ask for 'cheapest' or 'most expensive', sort by 'price'. When people ask for 'best' or 'highest rated', sort by rating. """ if not sort: return places if sort == "price": sort = "price_level" items = sorted( places, key=lambda x: x.get(sort, float("inf")), reverse=descending, ) if first_n: items = items[:first_n] return items def get_latitude_longitude(self, location: str) -> List: """ Given a city name, this function provides the latitude and longitude of the specific location. - location: This can be a city like 'Austin', or a place like 'Austin Airport', etc. """ print (f"Getting location for {location}") if ( isinstance(location, list) and len(location) != 0 and isinstance(location[0], dict) ): return location current_loc_info = self._get_current_location_information() lat = current_loc_info["lat"] lng = current_loc_info["lon"] radius_miles = 100 # Not a hyperparameter radius_meters = radius_miles * 1609.34 # For response content, see https://developers.google.com/maps/documentation/places/web-service/search-find-place#find-place-responses results = self.gmaps.find_place( location, input_type="textquery", location_bias=f"circle:{radius_meters}@{lat},{lng}", ) if results["status"] != "OK": return [] # We always use the first candidate place_id = results["candidates"][0]["place_id"] # For response format, see https://developers.google.com/maps/documentation/places/web-service/details#PlaceDetailsResponses place_details = self.gmaps.place(place_id=place_id)["result"] return [place_details] def get_distance(self, place_1: str, place_2: str): """ Provides distance between two locations. Do NOT provide latitude longitude, but rather, provide the string descriptions. Allows you to provide output from the get_recommendations API. - place_1: The first location. - place_2: The second location. """ if isinstance(place_1, list) and len(place_1) > 0: place_1 = place_1[0] if isinstance(place_2, list) and len(place_2) > 0: place_2 = place_2[0] if isinstance(place_1, dict): place_1: str = place_1["name"] if isinstance(place_2, dict): place_2: str = place_2["name"] latlong_1 = self.get_latitude_longitude(place_1) if len(latlong_1) == 0: return f"No place found for `{place_1}`. Please be more explicit." latlong_2 = self.get_latitude_longitude(place_2) if len(latlong_2) == 0: return f"No place found for `{place_2}`. Please be more explicit." latlong_1 = latlong_1[0] latlong_2 = latlong_2[0] latlong_values_1 = latlong_1["geometry"]["location"] latlong_values_2 = latlong_2["geometry"]["location"] dist = self.haversine( latlong_values_1["lng"], latlong_values_1["lat"], latlong_values_2["lng"], latlong_values_2["lat"], ) dist = dist * 0.621371 return [ latlong_1, latlong_2, f"The distance between {place_1} and {place_2} is {dist:.3f} miles", ] def get_recommendations(self, topics: list, lat_long: tuple): """ Returns the recommendations for a specific topic that is of interest. Remember, a topic IS NOT an establishment. For establishments, please use another function. - topics (list): A list of topics of interest to pull recommendations for. Can be multiple words. - lat_long (tuple): The lat_long of interest. """ if len(lat_long) == 0: return [] topic = " ".join(topics) latlong = lat_long[0]["geometry"]["location"] # For response format, see https://developers.google.com/maps/documentation/places/web-service/search-find-place#find-place-responses results = self.gmaps.places( query=topic, location=latlong, ) return results["results"] def find_places_near_location( self, type_of_place: list, location: str, radius_miles: int = 50 ) -> List[Dict]: """ Find places close to a very defined location. - type_of_place (list): The type of place. This can be something like 'restaurant' or 'airport'. Make sure that it is a physical location. You can provide multiple words. - location (str): The location for the search. This can be a city's name, region, or anything that specifies the location. - radius_miles (int): Optional. The max distance from the described location to limit the search. Distance is specified in miles. """ place_details = self.get_latitude_longitude(location) if len(place_details) == 0: return [] place_details = place_details[0] location = place_details["name"] latlong = place_details["geometry"]["location"] type_of_place = " ".join(type_of_place) print (f"Finding places for {location} located at {latlong} for {type_of_place}") # Perform the search using Google Places API # For response format, see https://developers.google.com/maps/documentation/places/web-service/search-nearby#nearby-search-responses places_nearby = self.gmaps.places_nearby( location=(latlong["lat"], latlong["lng"]), keyword=type_of_place, radius=radius_miles * 1609.34, ) if places_nearby["status"] != "OK": print (f"Found nothing!") return [] places_nearby = places_nearby["results"] places = [] print (f"Found {len(places_nearby)}!") for place_nearby in places_nearby: place_location = place_nearby["geometry"]["location"] distance = self.haversine( latlong["lng"], latlong["lat"], place_location["lng"], place_location["lat"], ) if distance == 0.0: continue distance = distance * 0.621371 place_nearby["distance"] = f"{distance} miles from {location}" places.append(place_nearby) if len(places) == 0: return [] return self.sort_results(places, sort="distance", descending=False) def out_of_domain(self, user_query : str) -> str: """ This function is designed to handle out of domain queries from the user. If the user provides any input user query that is out of domain of the other APIs provided above, please use this function with the input user query as the string. - user_query (str): The input string that is out of domain. """ return ["This query is not answerable. Please provide queries regarding locations, reviews, or recommendations!"] def get_some_reviews(self, place_names: list, location: str = None): """ Given an establishment (or place) name, return reviews about the establishment. - place_names (list): The name of the establishment. This should be a physical location name. You can provide multiple inputs. - location (str) : The location where the restaurant is located. Optional argument. """ all_reviews = [] for place_name in place_names: print (f"Found {place_name}!") if isinstance(place_name, str): if location and isinstance(location, list) and len(location) > 0: # Sometimes location will be a list of relevant places from the API. # We just use the first one. location = location[0] elif location and isinstance(location, list): # No matching spaces found in the API, len of 0 location = None if location and isinstance(location, dict): # Weird response from the API, likely a timeout error, disable geoloc location = None if location and isinstance(location, str): place_name += " , " + location elif ( isinstance(place_name, dict) and "results" in place_name and "name" in place_name["results"] ): place_name = place_name["results"]["name"] if "vicinity" in place_name["results"]: place_name += ", " + place_name["results"]["vicinity"] elif isinstance(place_name, dict) and "name" in place_name: place_name = place_name["name"] if "vicinity" in place_name: place_name += ", " + place_name["vicinity"] print (f"Reformatted it as {place_name}!") place_details = self.get_latitude_longitude(place_name) if len(place_details) == 0: continue place_details = place_details[0] reviews = place_details.get("reviews", []) for review in reviews: review["for_location"] = place_name review["formatted_address"] = place_details["formatted_address"] all_reviews.extend(reviews) random.shuffle(all_reviews) return all_reviews