上报数据多格式序列化

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd, json
    payloads_csv = open_url(____).read()
    payloads = pd.read_csv(StringIO(____))
    def to_flat(____):
        try: payload = json.loads(____)
        except: return []
        rows = []
        for r in payload.get(____):
            rows.append({'____':payload.get(____),'____':payload.get(____),
                '____':r.get(____),'____':r.get(____),'____':r.get(____)})
        return rows
    valid = payloads[payloads['____']==____].head(____)
    all_rows = []
    for _, row in valid.iterrows():
        all_rows.extend(to_flat(____))
    df = pd.DataFrame(____)
    print(____)
    print(df.to_string(____))