Create utils.py

Author: KOSASIH

biosensors/utils.py

@@ -0,0 +1,95 @@
+# biosensors/utils.py
+
+import logging
+from datetime import datetime
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+def format_sensor_data(sensor_id, data):
+    """
+    Format the sensor data into a readable string.
+    
+    :param sensor_id: The ID of the sensor.
+    :param data: Dictionary containing sensor data.
+    :return: Formatted string representation of the sensor data.
+    """
+    try:
+        formatted_data = f"Sensor ID: {sensor_id}\n"
+        formatted_data += f"Temperature: {data['temperature']} °C\n"
+        formatted_data += f"Heart Rate: {data['heart_rate']} BPM\n"
+        formatted_data += f"Timestamp: {format_timestamp(data['timestamp'])}\n"
+        return formatted_data
+    except KeyError as e:
+        logging.error(f"Missing key in data for sensor {sensor_id}: {e}")
+        return None
+
+def format_timestamp(timestamp):
+    """
+    Convert a timestamp to a human-readable format.
+    
+    :param timestamp: The timestamp to format.
+    :return: Formatted timestamp string.
+    """
+    return datetime.fromtimestamp(timestamp).strftime('%Y-%m-%d %H:%M:%S')
+
+def log_error(message):
+    """
+    Log an error message.
+    
+    :param message: The error message to log.
+    """
+    logging.error(message)
+
+def log_info(message):
+    """
+    Log an informational message.
+    
+    :param message: The informational message to log.
+    """
+    logging.info(message)
+
+def calculate_average(data_list):
+    """
+    Calculate the average of a list of numerical values.
+    
+    :param data_list: List of numerical values.
+    :return: Average value.
+    """
+    if not data_list:
+        logging.warning("Empty data list provided for average calculation.")
+        return None
+    return sum(data_list) / len(data_list)
+
+def calculate_standard_deviation(data_list):
+    """
+    Calculate the standard deviation of a list of numerical values.
+    
+    :param data_list: List of numerical values.
+    :return: Standard deviation value.
+    """
+    if not data_list:
+        logging.warning("Empty data list provided for standard deviation calculation.")
+        return None
+    mean = calculate_average(data_list)
+    variance = sum((x - mean) ** 2 for x in data_list) / len(data_list)
+    return variance ** 0.5
+
+if __name__ == "__main__":
+    # Example usage
+    sensor_id = "sensor_1"
+    sensor_data = {
+        "temperature": 36.5,
+        "heart_rate": 75,
+        "timestamp": 1633072800  # Example timestamp
+    }
+
+    formatted_data = format_sensor_data(sensor_id, sensor_data)
+    if formatted_data:
+        print(formatted_data)
+
+    average_temp = calculate_average([36.5, 37.0, 38.2])
+    print(f"Average Temperature: {average_temp} °C")
+
+    std_dev_hr = calculate_standard_deviation([75, 80, 90])
+    print(f"Standard Deviation of Heart Rate: {std_dev_hr} BPM")