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@@ -109,6 +109,9 @@ def extract(username: str, password: str):
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historial_html_io = StringIO(f"<table>{historial_html}</table>")
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# Read the HTML table into a DataFrame
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df = pd.read_html(historial_html_io)[0]
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+
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+ if 'GRUPO' not in df.columns:
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+ raise KeyError("Column 'GRUPO' not found in the DataFrame")
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# Convert the DataFrame to JSON
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json_result = df[df['GRUPO'] != 'Promedio:'].to_json(orient='records')
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