import gradio as gr
import pandas as pd

import gradio as gr
import pandas as pd


def process_excel(file):
    df = pd.read_excel(file.name, engine='openpyxl')
    return df

def merge_excel_tables(file_path1, file_path2):
    df1 = process_excel(file_path1)
    df2 = process_excel(file_path2)
    merged_df = df1.merge(df2, left_on=list(df1.columns)[0], right_on=list(df2.columns)[0], how='left')
    column_mapping = {}
    for col in df1.columns:
        column_mapping[col] = col
    for col in merged_df.columns:
        if col.endswith('_x'):
            new_col = col[:-2]  # 去除_x后缀
            if new_col in column_mapping:
                column_mapping[new_col] = new_col  # 如果存在相同的列名，保持不变
            merged_df.rename(columns={col: new_col}, inplace=True)
        elif col.endswith('_y'):
            new_col = col[:-2]  # 去除_y后缀
            merged_df.rename(columns={col: new_col}, inplace=True)
    merged_df = merged_df.dropna(axis=1, how='all')
    merged_df = merged_df[list(df1.columns)]
    merged_df.to_excel(output_file, index=False)
    return merged_df


iface = gr.Interface(fn=merge_excel_tables, inputs=["file", "file"], outputs=gr.outputs.Dataframe(type='pandas'), title="强哥的Excel Processor", description="根据表格一的第一列，寻找表格二对应第一列的行数据，把表格二中与表格一相同标签数据填入表格一")
iface.launch()