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Browse files- Dockerfile +14 -0
- app.py +40 -0
- requirements.txt +4 -0
Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY . /requirements.txt/code/requiremnts.txt
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RUN pip install --no-cache-dir--upgrade -r /code/requirements.txt
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RUN useradd user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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WORKDIR $HOME/app
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COPY --chown=user. $HOME/ 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 fastapi import FastAPI, Query
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from pydantic import BaseModel
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import requests
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from datetime import date
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import uvicorn
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app = FastAPI()
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class WeatherRequest(BaseModel):
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location: str
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API_KEY = "d66b99384fc0495b9bb43946242607"
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BASE_URL = "http://api.weatherapi.com/v1/current.json"
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def get_weather(location):
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params = {
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"key": API_KEY,
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"q": location,
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"dt": date.today().isoformat()
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}
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response = requests.get(BASE_URL, params=params)
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if response.status_code == 200:
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data = response.json()
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current = data['current']
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return f"Temperature: {current['temp_c']}°C, Condition: {current['condition']['text']}"
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else:
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return "Unable to fetch weather data"
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@app.get("/")
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def home():
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return {"message": "Welcome to the Weather Finder API"}
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@app.get("/weather")
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def get_weather_endpoint(location: str = Query(..., description="Location to get weather for")):
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weather_info = get_weather(location)
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return {"location": location, "weather_info": weather_info}
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@app.post("/weather")
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def post_weather_endpoint(request: WeatherRequest):
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weather_info = get_weather(request.location)
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return {"location": request.location, "weather_info": weather_info}
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=8000)
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requirements.txt
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fastapi
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uvicorn
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google-generativeai
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python-dotenv
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