def create_anomaly_string()

in next_steps/readable_alerts/readable_alerts.py [0:0]

• 18 lines of code
• 8 McCabe index (conditional complexity)

def create_anomaly_string(input_json):
    """
    This function does most of the work, it takes in the entire message of the alert from Lookout for Metrics, then converts it into a readable and actionable message. Steps are commented below, feel free to update as needed.
    """
    # The time is a critical bit of informatin to sort first, this obtains the time and gets it ready for the message
    timestamp = parse(input_json['timestamp'], fuzzy_with_tokens=True)[0]
    timestamp1 = timestamp.strftime("%B %d %Y")
    timestamp2 = timestamp.strftime("%H:%M")
    # Write the first bit about the anomaly, what happened and when.
    response = "An anomaly in " + str(input_json['impactedMetric']['metricName']) + " was detected on " + timestamp1 + ' at ' + timestamp2 + ".\n"
    # Next grab the list of impacted time series
    num_of_time_series = len(input_json['impactedMetric']['relevantTimeSeries'])
    # Report the number of impacted time series to your user
    response += str(num_of_time_series) + " time series was impacted.\n\n"

    # Iterate over each time series, listing the dimensions and their value
    for ts in range(num_of_time_series):
        response += "TimeSeries: " + str(num_of_time_series) + " was impacted on the following dimensions and values:\n"
        for item in input_json['impactedMetric']['relevantTimeSeries'][ts]['dimensions']:
            response += "\t" + item['dimensionName'] + " - " + item['dimensionValue'] + "\n"
            
    # Report the anomaly score
    response += "\nThe Anomaly  score was: " + str(input_json['anomalyScore']) + "\n"
    
    # Generate a link to the console for the user to learn more
    runtime_region = os.environ['AWS_REGION']
    url = "https://" + runtime_region + ".console.aws.amazon.com/lookoutmetrics/home?region=" + runtime_region + "#"
    url += str(input_json['anomalyDetectorArn'])
    url += "/detectorDetails"
    response += "To learn more visit the Lookout for Metrics console at: " + url + " \n"
    return response