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中级

实现基于EC值的施肥浓度调节决策

未完成
中级参考 代码结构已给出，请填写 ____ 处 
def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    plans_csv = open_url(____).read()
    plans = pd.read_csv(StringIO(____))
    EC_TOLERANCE = ____
    def ec_decision(____):
        plan = plans[plans['____']==plan_id]
        if plan.empty: return '____', None
        target = float(____)
        diff = measured_ec - target
        if diff > EC_TOLERANCE: return '____', {'____':'____','____':round(____),'____':target}
        if diff < -EC_TOLERANCE: return '____', {'____':'____','____':round(abs(____),____),'____':target}
        return '____', {'____':measured_ec,'____':target}
    tests = [(____,____),(____,____),(____,____),(____,____),(____,____)]
    for plan_id, ec in tests:
        decision, info = ec_decision(____)
        print("____"+str(____)+"____"+str(____)+"____"+decision+"____"+str(____))

示例

输入
solve()
期望输出
plan=4 EC=2.8: fertilize {'action': 'increase_pump', 'ec_deficit': 0.2, 'target': 3.0}
plan=4 EC=3.0: maintain {'ec': 3.0, 'target': 3.0}
plan=4 EC=3.5: dilute {'action': 'add_water', 'ec_excess': 0.5, 'target': 3.0}
plan=2 EC=2.0: fertilize {'action': 'increase_pump', 'ec_deficit': 0.2, 'target': 2.2}
plan=2 EC=2.5: dilute {'action': 'add_water', 'ec_excess': 0.3, 'target': 2.2}
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