检测短时间内高频申请行为

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_featured_csv = open_url(____).read()
    realtime_requests_csv = open_url(____).read()
    blacklist_csv = open_url(____).read()
    decision_log_csv = open_url(____).read()
    import pandas as pd
    from io import StringIO
    req = pd.read_csv(StringIO(____))
    if '____' in req.columns:
        freq=req.groupby(____).size().reset_index(____)
        high=freq[freq['____']>____].sort_values(____)
        print(____)
        if len(____)>____:
            print(high.to_string(____))
        else:
            print(____)
    else:
        print("____", len(____))