feat: ✨ Weather is in
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import requests
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import openmeteo_requests
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import requests_cache
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from retry_requests import retry
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import json
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# WMO Weather interpretation codes mapping
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WEATHER_CODE_MAP = {
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0: "Clear sky",
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1: "Mainly clear",
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2: "Partly cloudy",
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3: "Overcast",
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45: "Fog",
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48: "Depositing rime fog",
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51: "Light drizzle",
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53: "Moderate drizzle",
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55: "Dense drizzle",
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56: "Light freezing drizzle",
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57: "Dense freezing drizzle",
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61: "Slight rain",
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63: "Moderate rain",
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65: "Heavy rain",
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66: "Light freezing rain",
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67: "Heavy freezing rain",
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71: "Slight snow",
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73: "Moderate snow",
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75: "Heavy snow",
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77: "Snow grains",
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80: "Slight rain showers",
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81: "Moderate rain showers",
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82: "Violent rain showers",
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85: "Slight snow showers",
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86: "Heavy snow showers",
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95: "Thunderstorm",
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96: "Thunderstorm with slight hail",
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99: "Thunderstorm with heavy hail"
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}
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class ToolExecutor:
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def __init__(self):
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self.tools = {
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"get_weather": self.get_weather
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}
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def process_llm_response(self, llm_output):
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# Parse the tool call from LLM response
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if llm_output.startswith('{"tool":'):
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llm_output = json.loads(llm_output)
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print(llm_output)
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tool_name = llm_output.get("tool",'no tool')
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parameters = llm_output.get("parameters", 'no parameters')
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print(f'parsed tool: {tool_name}, parsed parameters: {parameters}')
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# Execute the actual function
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result = self.tools[tool_name](**parameters)
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# Return result for LLM to use
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return result
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return llm_output
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def get_weather(self, city: str, units: str = "celsius"):
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"""Get current weather for a location using Open-Meteo API with openmeteo-requests library."""
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print(f'get weather called, city = {city}')
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if not city:
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raise ValueError("City parameter is required")
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try:
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# Setup the Open-Meteo API client with cache and retry on error
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cache_session = requests_cache.CachedSession('.cache', expire_after=3600)
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retry_session = retry(cache_session, retries=5, backoff_factor=0.2)
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openmeteo = openmeteo_requests.Client(session=retry_session)
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# Step 1: Get coordinates for the city using geocoding API
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geocoding_url = "https://geocoding-api.open-meteo.com/v1/search"
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geocoding_params = {
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"name": city,
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"count": 1,
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"language": "en",
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"format": "json"
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}
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geo_response = requests.get(geocoding_url, params=geocoding_params, timeout=10)
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geo_response.raise_for_status()
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geo_data = geo_response.json()
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print(f'Geo data for city: {geo_data}')
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if not geo_data.get("results"):
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raise Exception(f"City '{city}' not found")
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location = geo_data["results"][0]
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latitude = location["latitude"]
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longitude = location["longitude"]
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city_name = location["name"]
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country = location.get("country", "Unknown")
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# Step 2: Get weather data using openmeteo-requests
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url = "https://api.open-meteo.com/v1/forecast"
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# Convert temperature units for the API
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temperature_unit = "celsius" if units == "celsius" else "fahrenheit"
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params = {
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"latitude": latitude,
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"longitude": longitude,
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"current": [
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"temperature_2m",
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"relative_humidity_2m",
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"weather_code",
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"surface_pressure",
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"wind_speed_10m"
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],
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"temperature_unit": temperature_unit,
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"wind_speed_unit": "kmh"
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}
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responses = openmeteo.weather_api(url, params=params)
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response = responses[0]
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print(f'Weather API response: {response}')
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# Get current weather data
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current = response.Current()
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print(f'Current weather data: {current}')
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# Extract values using the library's methods
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temperature = current.Variables(0).Value() # temperature_2m
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humidity = current.Variables(1).Value() # relative_humidity_2m
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weather_code = int(current.Variables(2).Value()) # weather_code
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pressure = current.Variables(3).Value() # surface_pressure
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wind_speed = current.Variables(4).Value() # wind_speed_10m
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condition = WEATHER_CODE_MAP.get(weather_code, "Unknown")
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json_reply = {
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"temperature": temperature,
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"condition": condition,
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"humidity": humidity,
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"pressure": pressure,
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"wind_speed": wind_speed,
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"units": units,
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"city": city_name,
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"country": country,
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"coordinates": {"latitude": latitude, "longitude": longitude}
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}
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print(json_reply)
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return json_reply
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except Exception as e:
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raise Exception(f"Weather lookup failed: {str(e)}")
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