Upload 3 files
Browse files- Dockerfile +16 -0
- app.py +101 -0
- requirements.txt +5 -0
Dockerfile
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# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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FROM python:3.9
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RUN useradd -m -u 1000 user
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USER user
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ENV PATH="/home/user/.local/bin:$PATH"
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WORKDIR /app
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COPY --chown=user ./requirements.txt requirements.txt
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RUN pip install --no-cache-dir --upgrade -r requirements.txt
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COPY --chown=user . /app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app.py
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from typing import Optional
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from fastapi import FastAPI, HTTPException, Query
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from pydantic import BaseModel
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import httpx
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import os
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from dotenv import load_dotenv
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load_dotenv()
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app = FastAPI(title="Keyless Weather API",
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description="Fetches real-time weather and temperature data using Open-Meteo (no API key required).",
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version="1.0.0")
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# --- Configuration ---
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OPEN_METEO_BASE_URL = "https://api.open-meteo.com/v1/forecast"
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# --- Data Models ---
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class Coordinates(BaseModel):
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latitude: float = Query(..., description="Latitude of the location")
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longitude: float = Query(..., description="Longitude of the location")
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class WeatherData(BaseModel):
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temperature: float
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# feels_like: Optional[float] = None # Not directly available in Open-Meteo free tier
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# humidity: Optional[int] = None # Not directly available in Open-Meteo free tier
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wind_speed: float
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wind_direction: int
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# description: Optional[str] = None # Not directly available in Open-Meteo free tier
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# icon: Optional[str] = None # Not directly available in Open-Meteo free tier
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unit_temperature: str = "°C"
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unit_wind_speed: str = "m/s"
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class ApiResponse(BaseModel):
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weather: WeatherData
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# --- Helper Functions ---
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async def fetch_weather_data_open_meteo(latitude: float, longitude: float) -> WeatherData:
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"""Fetches weather data from Open-Meteo (no API key required)."""
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url = OPEN_METEO_BASE_URL
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params = {
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"latitude": latitude,
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"longitude": longitude,
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"current_weather": True,
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"temperature_unit": "celsius",
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"windspeed_unit": "ms",
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"timezone": "auto" # Automatically detect timezone
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}
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async with httpx.AsyncClient() as client:
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try:
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response = await client.get(url, params=params)
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response.raise_for_status()
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data = response.json()["current_weather"]
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return WeatherData(
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temperature=data["temperature"],
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wind_speed=data["windspeed"],
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wind_direction=data["winddirection"],
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)
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except httpx.HTTPStatusError as e:
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raise HTTPException(status_code=e.response.status_code, detail=f"Error fetching weather data: {e}")
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except httpx.RequestError as e:
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raise HTTPException(status_code=500, detail=f"Error connecting to weather service: {e}")
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except KeyError:
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raise HTTPException(status_code=500, detail="Error parsing weather data from Open-Meteo.")
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# --- API Endpoints ---
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@app.get("/weather", response_model=WeatherData, summary="Get Weather (Open-Meteo)",
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description="Fetches real-time weather and temperature data using Open-Meteo (no API key required).")
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async def get_weather(coords: Coordinates):
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"""
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Retrieves weather data for a specific location using Open-Meteo.
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"""
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return await fetch_weather_data_open_meteo(coords.latitude, coords.longitude)
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@app.get("/current_conditions", response_model=ApiResponse, summary="Get Current Conditions (Open-Meteo)",
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description="Fetches current weather conditions using Open-Meteo (no API key required).")
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async def get_current_conditions(coords: Coordinates):
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"""
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Retrieves current weather conditions (temperature, wind) for a specific location using Open-Meteo.
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"""
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weather_data = await fetch_weather_data_open_meteo(coords.latitude, coords.longitude)
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return ApiResponse(weather=weather_data)
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# --- Note on Air Quality ---
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# Finding a reliable, completely keyless air quality API can be challenging.
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# Many free services either require registration (and thus an API key) or have
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# very limited coverage/data quality.
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#
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# If you absolutely need air quality without a key, you might explore:
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# 1. OpenAQ (mentioned earlier): While their API has a key, they have public datasets.
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# You could potentially download and process these datasets, but this is more complex
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# than a direct API call.
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# 2. Government Environmental Agencies: As discussed, some provide public data, but
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# finding a consistent API without any registration can be difficult.
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#
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# For this example, we will focus on the keyless weather data from Open-Meteo.
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# --- Running the App ---
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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requirements.txt
ADDED
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@@ -0,0 +1,5 @@
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fastapi
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uvicorn[standard]
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httpx
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pydantic
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requests
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