实现错误率超阈值告警

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    metrics_csv = open_url(____).read()
    metrics = pd.read_csv(StringIO(____))
    ERROR_THRESHOLD = ____
    def check_error_alert(____):
        rate = row['____']/row['____'] if row['____']>____ else ____
        if rate > ERROR_THRESHOLD:
            return True, round(____)
        return False, round(____)
    print(____)
    for _, row in metrics.iterrows():
        dtype = str(____) if str(____) not in (____) else '____'
        alert, rate = check_error_alert(____)
        flag = '____' if alert else '____'
        print(____)