diff --git a/management/server/services/knowledgebases/excel_parser.py b/management/server/services/knowledgebases/excel_parser.py index 608ff22..cbc8168 100644 --- a/management/server/services/knowledgebases/excel_parser.py +++ b/management/server/services/knowledgebases/excel_parser.py @@ -1,20 +1,32 @@ import pandas as pd -def parse_excel(file_path): - # 读取Excel文件 - df = pd.read_excel(file_path) - # 获取表头 - headers = df.columns.tolist() - blocks = [] - - for _, row in df.iterrows(): - # 构建HTML表格 - html_table = "{}{}
".format("".join(f"{col}" for col in headers), "".join(f"{row[col]}" for col in headers)) - block = {"type": "table", "img_path": "", "table_caption": [], "table_footnote": [], "table_body": f"{html_table}", "page_idx": 0} - - blocks.append(block) +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 = "{}{}
".format( + "".join(f"{col}" for col in headers), + "".join(f"{row[col]}" 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