绘制PR曲线并计算AP值

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_featured_csv = open_url(____).read()
    model_results_csv = open_url(____).read()
    import pandas as pd
    import matplotlib
    matplotlib.use(____)
    import matplotlib.pyplot as plt
    from sklearn.metrics import precision_recall_curve,average_precision_score
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    ap=average_precision_score(____)
    print(____)
    prec,rec,_=precision_recall_curve(____)
    fig,ax=plt.subplots(figsize=(____,____))
    ax.plot(____)
    ax.set_xlabel(____); ax.set_ylabel(____); ax.set_title(____)
    ax.legend(); plt.tight_layout(); plt.show()