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Update app.py
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app.py
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@@ -23,7 +23,6 @@ API_KEY = os.getenv('ACCUWEATHER_API_KEY')
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# Base URL for AccuWeather API
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BASE_URL = "http://dataservice.accuweather.com"
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# Define all the necessary functions
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def get_location_key(lat, lon):
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url = f"{BASE_URL}/locations/v1/cities/geoposition/search"
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params = {
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@@ -42,20 +41,133 @@ def get_location_key(lat, lon):
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return None
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def get_current_conditions(location_key):
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def get_forecast(location_key):
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def get_indices(location_key):
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def get_alerts(location_key):
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# App layout
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app.layout = dbc.Container([
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@@ -121,10 +233,48 @@ def update_weather(location):
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lat, lon = location["latitude"], location["longitude"]
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if __name__ == '__main__':
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print("Starting the Dash application...")
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# Base URL for AccuWeather API
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BASE_URL = "http://dataservice.accuweather.com"
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def get_location_key(lat, lon):
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url = f"{BASE_URL}/locations/v1/cities/geoposition/search"
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params = {
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return None
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def get_current_conditions(location_key):
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if location_key is None:
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return None
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url = f"{BASE_URL}/currentconditions/v1/{location_key}"
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params = {
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"apikey": API_KEY,
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"details": "true",
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}
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try:
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response = requests.get(url, params=params)
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response.raise_for_status()
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data = response.json()
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if not data:
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raise ValueError("No current conditions data in API response")
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return data[0]
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except requests.RequestException as e:
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print(f"Error in get_current_conditions: {e}")
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return None
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def get_forecast(location_key):
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if location_key is None:
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return None
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url = f"{BASE_URL}/forecasts/v1/daily/5day/{location_key}"
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params = {
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"apikey": API_KEY,
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"metric": "true",
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}
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try:
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response = requests.get(url, params=params)
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response.raise_for_status()
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return response.json()
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except requests.RequestException as e:
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print(f"Error in get_forecast: {e}")
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return None
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def get_indices(location_key):
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if location_key is None:
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return None
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url = f"{BASE_URL}/indices/v1/daily/5day/{location_key}"
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params = {
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"apikey": API_KEY,
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}
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try:
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response = requests.get(url, params=params)
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response.raise_for_status()
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return response.json()
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except requests.RequestException as e:
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print(f"Error in get_indices: {e}")
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return None
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def get_alerts(location_key):
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if location_key is None:
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return None
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url = f"{BASE_URL}/alerts/v1/{location_key}"
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params = {
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"apikey": API_KEY,
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}
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try:
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response = requests.get(url, params=params)
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response.raise_for_status()
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return response.json()
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except requests.RequestException as e:
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print(f"Error in get_alerts: {e}")
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return None
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def create_current_weather_card(current):
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return dbc.Card([
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dbc.CardBody([
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html.H4("Current Weather", className="card-title"),
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html.P(f"Temperature: {current['Temperature']['Metric']['Value']}°C"),
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html.P(f"Condition: {current['WeatherText']}"),
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html.P(f"Feels Like: {current['RealFeelTemperature']['Metric']['Value']}°C"),
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html.P(f"Wind: {current['Wind']['Speed']['Metric']['Value']} km/h"),
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html.P(f"Humidity: {current['RelativeHumidity']}%"),
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])
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], className="mb-4")
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def create_forecast_card(forecast):
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daily_forecasts = forecast['DailyForecasts']
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fig = go.Figure()
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dates = [datetime.strptime(day['Date'], "%Y-%m-%dT%H:%M:%S%z").strftime("%m-%d") for day in daily_forecasts]
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max_temps = [day['Temperature']['Maximum']['Value'] for day in daily_forecasts]
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min_temps = [day['Temperature']['Minimum']['Value'] for day in daily_forecasts]
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fig.add_trace(go.Scatter(x=dates, y=max_temps, name="Max Temp", line=dict(color="red")))
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fig.add_trace(go.Scatter(x=dates, y=min_temps, name="Min Temp", line=dict(color="blue")))
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fig.update_layout(
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title="5-Day Temperature Forecast",
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xaxis_title="Date",
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yaxis_title="Temperature (°C)",
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legend_title="Temperature",
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height=400
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)
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return dbc.Card([
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dbc.CardBody([
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html.H4("5-Day Forecast", className="card-title"),
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dcc.Graph(figure=fig)
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])
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], className="mb-4")
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def create_indices_card(indices):
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return dbc.Card([
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dbc.CardBody([
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html.H4("Weather Indices", className="card-title"),
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html.Div([
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html.P(f"{index['Name']}: {index['Category']}")
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for index in indices[:5] # Display first 5 indices
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])
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])
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], className="mb-4")
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def create_alert_card(alerts):
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if not alerts:
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return html.Div()
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return dbc.Card([
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dbc.CardBody([
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html.H4("Weather Alerts", className="card-title text-danger"),
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html.Div([
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html.P(alert['Text'])
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for alert in alerts
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])
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])
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], className="mb-4")
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# App layout
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app.layout = dbc.Container([
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lat, lon = location["latitude"], location["longitude"]
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loading_output = html.Div([
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html.P("Loading weather data...", className="text-center"),
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dbc.Spinner(color="primary", type="grow"),
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])
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def fetch_weather_data():
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try:
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location_key = get_location_key(lat, lon)
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if location_key is None:
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raise ValueError("Failed to get location key")
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current = get_current_conditions(location_key)
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forecast = get_forecast(location_key)
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indices = get_indices(location_key)
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alerts = get_alerts(location_key)
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if current is None or forecast is None or indices is None:
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raise ValueError("Failed to fetch weather data")
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current_weather = create_current_weather_card(current)
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forecast_output = create_forecast_card(forecast)
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indices_output = create_indices_card(indices)
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alert_output = create_alert_card(alerts)
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return current_weather, forecast_output, indices_output, alert_output
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except Exception as e:
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error_message = f"Error fetching weather data: {str(e)}"
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print(error_message) # Log the error
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return "", "", "", html.Div(error_message, className="text-danger")
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# Use threading to fetch data asynchronously
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thread = threading.Thread(target=fetch_weather_data)
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thread.start()
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thread.join(timeout=10) # Wait for up to 10 seconds
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if thread.is_alive():
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error_message = "Weather data fetch timed out. Please try again."
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return html.Div(error_message, className="text-warning"), "", "", "", ""
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current_weather, forecast_output, indices_output, alert_output = fetch_weather_data()
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return "", current_weather, forecast_output, indices_output, alert_output
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if __name__ == '__main__':
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print("Starting the Dash application...")
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