Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -25,7 +25,13 @@ st.sidebar.title("🌍 Environmental Data Dashboard")
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data_source = st.sidebar.selectbox(
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"Select Data Source",
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["Weather Data", "Marine", "Solunar & Tide Data", "Fish Categories Data"]
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# --- API CALLING FUNCTIONS ---
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def fetch_openweather_data(lat, lon, datetime_input):
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@@ -35,7 +41,22 @@ def fetch_openweather_data(lat, lon, datetime_input):
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try:
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response = requests.get(url) # Make the API call
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response.raise_for_status() # Raise an error for bad responses
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data = response.json() # Parse JSON response
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return data
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except requests.exceptions.HTTPError as http_err:
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st.error(f"HTTP error occurred: {http_err}")
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@@ -49,7 +70,25 @@ def fetch_openweather_forecast(lat, lon):
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try:
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response = requests.get(url)
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response.raise_for_status() # Raise HTTPError for bad responses
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except requests.exceptions.RequestException as e:
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st.error(f"Error fetching OpenWeather forecast data: {e}")
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return None
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@@ -64,7 +103,23 @@ def fetch_stormglass_data(lat, lng, start_datetime, end_datetime, selected_param
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status()
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except requests.exceptions.RequestException as e:
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st.error(f"Error fetching Stormglass data: {e}")
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return None
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@@ -84,6 +139,17 @@ def fetch_solunar_tide_data(lat, lon, datetime_input):
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tide_data = tide_response.json() if tide_response.status_code == 200 else None
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astronomy_data = astronomy_response.json() if astronomy_response.status_code == 200 else None
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return {
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'tide': tide_data,
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@@ -92,7 +158,44 @@ def fetch_solunar_tide_data(lat, lon, datetime_input):
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except Exception as e:
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st.error(f"Error fetching Solunar and Tide data: {e}")
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return None
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# --- MAIN APPLICATION LOGIC ---
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def main():
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@@ -176,6 +279,20 @@ def main():
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).add_to(m)
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folium_static(m)
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with col2:
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if st.button("Get Weather Forecast"):
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data_source = st.sidebar.selectbox(
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"Select Data Source",
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["Weather Data", "Marine", "Solunar & Tide Data", "Fish Categories Data"]
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+
)
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# Initialize global lists for each data source
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openweather_historical_readings = []
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openweather_forecast_readings = []
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stormglass_marine_readings = []
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solunar_tide_readings = []
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# --- API CALLING FUNCTIONS ---
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def fetch_openweather_data(lat, lon, datetime_input):
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try:
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response = requests.get(url) # Make the API call
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response.raise_for_status() # Raise an error for bad responses
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data = response.json() # Parse JSON response
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# Store the data in the global list
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if data:
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processed_entry = {
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'timestamp': datetime_input,
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'latitude': lat,
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'longitude': lon,
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'temperature': data.get('temp', {}),
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'humidity': data.get('humidity', None),
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'wind_speed': data.get('wind_speed', None),
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# Add other relevant fields
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}
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openweather_historical_readings.append(processed_entry)
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return data
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except requests.exceptions.HTTPError as http_err:
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st.error(f"HTTP error occurred: {http_err}")
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try:
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response = requests.get(url)
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response.raise_for_status() # Raise HTTPError for bad responses
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data = response.json()
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# Store the forecast data in the global list
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if data and 'daily' in data:
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for day_data in data['daily']:
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processed_entry = {
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'date': day_data.get('dt', None),
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'latitude': lat,
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'longitude': lon,
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'temperature_day': day_data.get('temp', {}).get('day', None),
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'temperature_night': day_data.get('temp', {}).get('night', None),
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'humidity': day_data.get('humidity', None),
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'wind_speed': day_data.get('wind_speed', None),
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# Add other relevant fields
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}
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openweather_forecast_readings.append(processed_entry)
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return data
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except requests.exceptions.RequestException as e:
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st.error(f"Error fetching OpenWeather forecast data: {e}")
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return None
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try:
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response = requests.get(url, headers=headers)
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response.raise_for_status()
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data = response.json()
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# Store the marine data in the global list
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if data and 'hours' in data:
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for hour_data in data['hours']:
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processed_entry = {
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'timestamp': hour_data.get('time', None),
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'latitude': lat,
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'longitude': lng,
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'wave_height': hour_data.get('waveHeight', {}).get('value', None),
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'wind_speed': hour_data.get('windSpeed', {}).get('value', None),
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'temperature': hour_data.get('temperature', {}).get('value', None),
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# Add other relevant fields
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}
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stormglass_marine_readings.append(processed_entry)
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return data
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except requests.exceptions.RequestException as e:
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st.error(f"Error fetching Stormglass data: {e}")
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return None
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tide_data = tide_response.json() if tide_response.status_code == 200 else None
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astronomy_data = astronomy_response.json() if astronomy_response.status_code == 200 else None
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# Store the solunar and tide data in the global list
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if tide_data or astronomy_data:
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processed_entry = {
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'date': datetime_input.date().isoformat(),
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'latitude': lat,
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'longitude': lon,
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'tide_data': tide_data,
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'astronomy_data': astronomy_data
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}
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solunar_tide_readings.append(processed_entry)
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return {
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'tide': tide_data,
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except Exception as e:
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st.error(f"Error fetching Solunar and Tide data: {e}")
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return None
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def save_openweather_historical_to_csv():
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"""Save historical OpenWeather data to CSV."""
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if not openweather_historical_readings:
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st.error("No historical weather data to save!")
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return
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df = pd.DataFrame(openweather_historical_readings)
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return df
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def save_openweather_forecast_to_csv():
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"""Save forecast OpenWeather data to CSV."""
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if not openweather_forecast_readings:
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st.error("No forecast weather data to save!")
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return
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df = pd.DataFrame(openweather_forecast_readings)
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return df
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def save_stormglass_marine_to_csv():
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"""Save Stormglass marine data to CSV."""
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if not stormglass_marine_readings:
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st.error("No marine data to save!")
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return
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df = pd.DataFrame(stormglass_marine_readings)
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return df
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def save_solunar_tide_to_csv():
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"""Save solunar and tide data to CSV."""
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if not solunar_tide_readings:
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st.error("No solunar or tide data to save!")
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return
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df = pd.DataFrame(solunar_tide_readings)
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return df
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# --- MAIN APPLICATION LOGIC ---
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def main():
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).add_to(m)
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folium_static(m)
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# Download button for historical data
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if st.button("Download Historical Weather Data"):
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df = save_openweather_historical_to_csv()
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if isinstance(df, pd.DataFrame):
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csv = df.to_csv(index=False).encode('utf-8')
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st.download_button(
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label="Download Historical Weather Data CSV",
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data=csv,
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file_name=f"openweather_historical_data_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv",
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mime="text/csv",
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)
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st.success("Historical weather data saved and ready for download!")
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else:
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st.error("Failed to prepare the historical weather data CSV.")
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with col2:
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if st.button("Get Weather Forecast"):
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