实现土壤含水量阈值灌溉决策

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    stages_csv = open_url(____).read()
    irr_csv = open_url(____).read()
    stages = pd.read_csv(StringIO(____))
    irr = pd.read_csv(StringIO(____))
    def moisture_decision(____):
        stage = stages[(____)&(____)]
        if stage.empty: return '____', None
        trigger = float(____)
        stop = float(____)
        if current_moisture < trigger: return '____', {'____':'____','____':trigger,'____':current_moisture}
        if current_moisture >= stop: return '____', {'____':'____','____':stop,'____':current_moisture}
        return '____', {'____':current_moisture}
    tests = [
        (____),(____),(____),
        (____),(____),
    ]
    for zone, crop, stage, sm in tests:
        decision, info = moisture_decision(____)
        print(zone+"____"+crop+"____"+stage+"____"+str(____)+"____"+decision)