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解析树莓派标准JSON上报体

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初级参考 完整示例代码供参考，建议自己理解后重新输入 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd, json
    devs_csv = open_url("https://data.zuihe.com/dbd/ms-devhub/state_00/devices.csv").read()
    devs = pd.read_csv(StringIO(devs_csv))
    def parse_rpi_payload(payload_str):
        p = json.loads(payload_str)
        return {'device_id':p['device_id'],'timestamp':p['timestamp'],
            'readings':[{'metric':r['metric'],'value':r['value'],'unit':r.get('unit','')} for r in p.get('readings',[])]}
    payloads = [
        '{"device_id":"RPI-001","timestamp":1748736000,"readings":[{"metric":"cpu_temp","value":52.3,"unit":"degC"},{"metric":"cpu_usage","value":34.1,"unit":"%"},{"metric":"mem_free","value":512,"unit":"MB"}]}',
        '{"device_id":"RPI-002","timestamp":1748736001,"readings":[{"metric":"cpu_temp","value":61.0,"unit":"degC"}]}',
    ]
    for p in payloads:
        result = parse_rpi_payload(p)
        print(result['device_id'] + ": ts=" + str(result['timestamp']) + ", readings=" + str(len(result['readings'])))
        for r in result['readings']:
            print("  " + r['metric'] + "=" + str(r['value']) + r['unit'])
    rpi = devs[devs['device_type']=='raspberry_pi']
    print("RPI devices: " + str(list(rpi['device_id'])))

示例

输入
solve()
期望输出
RPI-001: ts=1748736000, readings=3
  cpu_temp=52.3degC
  cpu_usage=34.1%
  mem_free=512MB
RPI-002: ts=1748736001, readings=1
  cpu_temp=61.0degC
RPI devices: ['RPI-001', 'RPI-002', 'RPI-003']
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