# coding=utf-8 import logging import xlrd from common.handle.base_parse_table_handle import BaseParseTableHandle max_kb = logging.getLogger("max_kb") class XlsSplitHandle(BaseParseTableHandle): def support(self, file, get_buffer): file_name: str = file.name.lower() buffer = get_buffer(file) if file_name.endswith(".xls") and xlrd.inspect_format(content=buffer): return True return False def handle(self, file, get_buffer, save_image): buffer = get_buffer(file) try: wb = xlrd.open_workbook(file_contents=buffer, formatting_info=True) result = [] sheets = wb.sheets() for sheet in sheets: # 获取合并单元格的范围信息 merged_cells = sheet.merged_cells print(merged_cells) data = [] paragraphs = [] # 获取第一行作为标题行 headers = [sheet.cell_value(0, col_idx) for col_idx in range(sheet.ncols)] # 从第二行开始遍历每一行(跳过标题行) for row_idx in range(1, sheet.nrows): row_data = {} for col_idx in range(sheet.ncols): cell_value = sheet.cell_value(row_idx, col_idx) # 检查是否为空单元格,如果为空检查是否在合并区域中 if cell_value == "": # 检查当前单元格是否在合并区域 for (rlo, rhi, clo, chi) in merged_cells: if rlo <= row_idx < rhi and clo <= col_idx < chi: # 使用合并区域的左上角单元格的值 cell_value = sheet.cell_value(rlo, clo) break # 将标题作为键,单元格的值作为值存入字典 row_data[headers[col_idx]] = cell_value data.append(row_data) for row in data: row_output = "; ".join([f"{key}: {value}" for key, value in row.items()]) # print(row_output) paragraphs.append({'title': '', 'content': row_output}) result.append({'name': sheet.name, 'paragraphs': paragraphs}) except BaseException as e: max_kb.error(f'excel split handle error: {e}') return [{'name': file.name, 'paragraphs': []}] return result