Update app.py
Browse files
app.py
CHANGED
|
@@ -1,101 +1,43 @@
|
|
| 1 |
-
from
|
|
|
|
| 2 |
|
| 3 |
-
|
| 4 |
-
from pydantic import BaseModel
|
| 5 |
-
import httpx
|
| 6 |
-
import os
|
| 7 |
-
from dotenv import load_dotenv
|
| 8 |
|
| 9 |
-
|
| 10 |
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
class Coordinates(BaseModel):
|
| 20 |
-
latitude: float = Query(..., description="Latitude of the location")
|
| 21 |
-
longitude: float = Query(..., description="Longitude of the location")
|
| 22 |
-
|
| 23 |
-
class WeatherData(BaseModel):
|
| 24 |
-
temperature: float
|
| 25 |
-
# feels_like: Optional[float] = None # Not directly available in Open-Meteo free tier
|
| 26 |
-
# humidity: Optional[int] = None # Not directly available in Open-Meteo free tier
|
| 27 |
-
wind_speed: float
|
| 28 |
-
wind_direction: int
|
| 29 |
-
# description: Optional[str] = None # Not directly available in Open-Meteo free tier
|
| 30 |
-
# icon: Optional[str] = None # Not directly available in Open-Meteo free tier
|
| 31 |
-
unit_temperature: str = "°C"
|
| 32 |
-
unit_wind_speed: str = "m/s"
|
| 33 |
-
|
| 34 |
-
class ApiResponse(BaseModel):
|
| 35 |
-
weather: WeatherData
|
| 36 |
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
"""Fetches weather data from Open-Meteo (no API key required)."""
|
| 40 |
-
url = OPEN_METEO_BASE_URL
|
| 41 |
-
params = {
|
| 42 |
-
"latitude": latitude,
|
| 43 |
-
"longitude": longitude,
|
| 44 |
-
"current_weather": True,
|
| 45 |
-
"temperature_unit": "celsius",
|
| 46 |
-
"windspeed_unit": "ms",
|
| 47 |
-
"timezone": "auto" # Automatically detect timezone
|
| 48 |
-
}
|
| 49 |
-
async with httpx.AsyncClient() as client:
|
| 50 |
-
try:
|
| 51 |
-
response = await client.get(url, params=params)
|
| 52 |
-
response.raise_for_status()
|
| 53 |
-
data = response.json()["current_weather"]
|
| 54 |
-
return WeatherData(
|
| 55 |
-
temperature=data["temperature"],
|
| 56 |
-
wind_speed=data["windspeed"],
|
| 57 |
-
wind_direction=data["winddirection"],
|
| 58 |
-
)
|
| 59 |
-
except httpx.HTTPStatusError as e:
|
| 60 |
-
raise HTTPException(status_code=e.response.status_code, detail=f"Error fetching weather data: {e}")
|
| 61 |
-
except httpx.RequestError as e:
|
| 62 |
-
raise HTTPException(status_code=500, detail=f"Error connecting to weather service: {e}")
|
| 63 |
-
except KeyError:
|
| 64 |
-
raise HTTPException(status_code=500, detail="Error parsing weather data from Open-Meteo.")
|
| 65 |
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
description="Fetches real-time weather and temperature data using Open-Meteo (no API key required).")
|
| 69 |
-
async def get_weather(coords: Coordinates):
|
| 70 |
"""
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
weather_data = await fetch_weather_data_open_meteo(coords.latitude, coords.longitude)
|
| 82 |
-
return ApiResponse(weather=weather_data)
|
| 83 |
|
| 84 |
-
|
| 85 |
-
# Finding a reliable, completely keyless air quality API can be challenging.
|
| 86 |
-
# Many free services either require registration (and thus an API key) or have
|
| 87 |
-
# very limited coverage/data quality.
|
| 88 |
-
#
|
| 89 |
-
# If you absolutely need air quality without a key, you might explore:
|
| 90 |
-
# 1. OpenAQ (mentioned earlier): While their API has a key, they have public datasets.
|
| 91 |
-
# You could potentially download and process these datasets, but this is more complex
|
| 92 |
-
# than a direct API call.
|
| 93 |
-
# 2. Government Environmental Agencies: As discussed, some provide public data, but
|
| 94 |
-
# finding a consistent API without any registration can be difficult.
|
| 95 |
-
#
|
| 96 |
-
# For this example, we will focus on the keyless weather data from Open-Meteo.
|
| 97 |
|
| 98 |
-
# --- Running the App ---
|
| 99 |
if __name__ == "__main__":
|
| 100 |
import uvicorn
|
| 101 |
uvicorn.run(app, host="0.0.0.0", port=8000)
|
|
|
|
| 1 |
+
from fastapi import FastAPI, Query
|
| 2 |
+
import json
|
| 3 |
|
| 4 |
+
app = FastAPI()
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
|
| 6 |
+
DATA_FILE = "data.json"
|
| 7 |
|
| 8 |
+
def load_data():
|
| 9 |
+
"""Loads data from the JSON file."""
|
| 10 |
+
try:
|
| 11 |
+
with open(DATA_FILE, "r") as f:
|
| 12 |
+
data = json.load(f)
|
| 13 |
+
return data
|
| 14 |
+
except FileNotFoundError:
|
| 15 |
+
return {}
|
| 16 |
|
| 17 |
+
@app.get("/search")
|
| 18 |
+
async def search_links(query: str = Query(..., description="Search term to find relevant links.")):
|
| 19 |
+
"""
|
| 20 |
+
Searches for links based on the provided query.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
+
Args:
|
| 23 |
+
query: The search term.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
|
| 25 |
+
Returns:
|
| 26 |
+
A list of matching links with their titles and source URLs.
|
|
|
|
|
|
|
| 27 |
"""
|
| 28 |
+
data = load_data()
|
| 29 |
+
results = []
|
| 30 |
+
query_lower = query.lower()
|
| 31 |
|
| 32 |
+
for url, links in data.items():
|
| 33 |
+
if query_lower in url.lower():
|
| 34 |
+
results.append({"source_url": url, "link": url, "title": url}) # Add the main URL itself as a potential match
|
| 35 |
+
for link_data in links:
|
| 36 |
+
if query_lower in link_data["title"].lower():
|
| 37 |
+
results.append({"source_url": url, "link": link_data["link"], "title": link_data["title"]})
|
|
|
|
|
|
|
| 38 |
|
| 39 |
+
return results
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
|
|
|
|
| 41 |
if __name__ == "__main__":
|
| 42 |
import uvicorn
|
| 43 |
uvicorn.run(app, host="0.0.0.0", port=8000)
|