Implement Weather Data Fetcher

basics/05_data_structures/31_weather_logger.py

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+import python_weather  # Library to fetch weather data in Python
+import asyncio
+from datetime import datetime
+
+async def main() -> None:
+    """
+    Main function to:
+    - fetch today's weather for a city
+    - store it in a nested dictionary (date -> {temp, condition, humidity})
+    - find the hottest day
+    - calculate the average temperature
+    - display the full weather log
+    """
+
+    # Create a weather client. unit=IMPERIAL uses Fahrenheit and mph
+    async with python_weather.Client(unit=python_weather.IMPERIAL) as client:
+
+        # Fetch the weather forecast for Rome
+        cityForecast = await client.get('Rome')
+
+        # Main dictionary to store daily weather logs
+        weather_log = {}
+
+        # Get today's date in YYYY-MM-DD format
+        date = datetime.today().strftime('%Y-%m-%d')
+
+        # Add a new entry for today
+        # Key = date, Value = dictionary with temperature, condition, and humidity
+        weather_log[date] = {
+            "temp": cityForecast.temperature,
+            "condition": cityForecast.description,
+            "humidity": cityForecast.humidity
+        }
+
+        # Print the raw dictionary for debugging/verification
+        print("Weather log:", weather_log, "\n")
+
+        # Find the hottest day
+        # The lambda tells Python to compare the 'temp' values of each date
+        hottest_day = max(weather_log, key=lambda d: weather_log[d]["temp"])
+
+        # Calculate the average temperature
+        # Sum all temperatures and divide by the number of entries
+        avg_temp = sum(day["temp"] for day in weather_log.values()) / len(weather_log)
+
+        # Print the hottest day and the average temperature
+        print(f"The hottest day was {hottest_day}")
+        print(f"The average temperature is {avg_temp:.2f}°F")  # formatted to 2 decimals
+
+if __name__ == '__main__':
+    asyncio.run(main())