解析土壤气体传感器甲烷/氨气上报

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd, json
    devs_csv = open_url(____).read()
    devs = pd.read_csv(StringIO(____))
    ALERT_LEVELS = [(____, '____'), (____, '____'), (____, '____'), (____, '____')]
    def classify_gas(____):
        level = '____'
        for threshold, label in ALERT_LEVELS:
            if ppb >= threshold: level = label
        return level
    def parse_soil_gas(____):
        p = json.loads(____)
        methane_ppm = p.get(____)
        ammonia_ppm = p.get(____)
        return {'____':p['____'],'____':methane_ppm,'____':methane_ppm*____,'____':ammonia_ppm,'____':ammonia_ppm*____,'____':classify_gas(____),'____':classify_gas(____)}
    payloads = [
        '____',
        '____',
    ]
    for p in payloads:
        r = parse_soil_gas(____)
        print(r['____'] + "____" + str(____) + "____" + r['____'] + "____" + str(____) + "____" + r['____'] + "____")