RAGflow/management/server/services/knowledgebases/excel_parser.py

37 lines
1.1 KiB
Python

import pandas as pd
def parse_excel(file_path):
# 读取所有工作表
all_sheets = pd.read_excel(file_path, sheet_name=None) # 读取所有sheet
blocks = []
for sheet_name, df in all_sheets.items():
df = df.fillna(method='ffill')#填充合并的单元格
headers = df.columns.tolist()
for _, row in df.iterrows():
html_table = "<html><body><table><tr>{}</tr><tr>{}</tr></table></body></html>".format(
"".join(f"<td>{col}</td>" for col in headers),
"".join(f"<td>{row[col]}</td>" for col in headers)
)
print(row['测试分类'])
block = {
"type": "table",
"img_path": "",
"table_caption": [f"Sheet: {sheet_name}"],
"table_footnote": [],
"table_body": f"{html_table}",
"page_idx": 0
}
blocks.append(block)
return blocks
if __name__ == "__main__":
file_path = "test_excel.xls"
parse_excel_result = parse_excel(file_path)
print(parse_excel_result)