def __extract_prom_data()

in edas-demo/script/scrape-data-from-prometheus/scrape-data-from-prometheus.py [0:0]

• 12 lines of code
• 4 McCabe index (conditional complexity)

def __extract_prom_data(data: list, legend_key: str) -> (dict, dict):
    draw_data = {}
    statistic_data = {}
    for d in data:
        metric: dict = d["metric"]
        key = metric[legend_key]
        values: list = d["values"]
        timestamps = [datetime.datetime.fromtimestamp(int(v[0])) for v in values]
        values = [float(v[1]) for v in values]
        draw_data[key] = (timestamps, values)
        statistic_data[key] = get_min_max_avg(values)
    return draw_data, statistic_data