diff --git a/backend/app/core/document_parser/xlsx_parser.py b/backend/app/core/document_parser/xlsx_parser.py index f948fd5..9f21152 100644 --- a/backend/app/core/document_parser/xlsx_parser.py +++ b/backend/app/core/document_parser/xlsx_parser.py @@ -67,11 +67,14 @@ class XlsxParser(BaseParser): xls_file = pd.ExcelFile(file_path) sheet_names = xls_file.sheet_names + # 如果 pandas 返回空列表，尝试从 XML 提取 if not sheet_names: - return ParseResult( - success=False, - error=f"Excel 文件没有找到任何工作表: {file_path}" - ) + sheet_names = self._extract_sheet_names_from_xml(file_path) + if not sheet_names: + return ParseResult( + success=False, + error=f"Excel 文件没有找到任何工作表: {file_path}" + ) # 验证请求的工作表索引/名称 target_sheet = None @@ -88,15 +91,21 @@ class XlsxParser(BaseParser): target_sheet = sheet_names[0] # 读取 Excel 文件 - df = pd.read_excel( - file_path, - sheet_name=target_sheet, - header=header_row, - **kwargs - ) + df = None + try: + df = pd.read_excel( + file_path, + sheet_name=target_sheet, + header=header_row, + **kwargs + ) + except Exception as e: + logger.warning(f"pandas 读取 Excel 失败，尝试 XML 方式: {e}") + # pandas 读取失败，尝试 XML 方式 + df = self._read_excel_sheet_xml(file_path, sheet_name=target_sheet, header_row=header_row) # 检查 DataFrame 是否为空 - if df.empty: + if df is None or df.empty: return ParseResult( success=False, error=f"工作表 '{target_sheet}' 为空，请检查 Excel 文件内容" @@ -211,7 +220,26 @@ class XlsxParser(BaseParser): try: # 读取所有工作表 - all_data = pd.read_excel(file_path, sheet_name=None, **kwargs) + all_data = None + try: + all_data = pd.read_excel(file_path, sheet_name=None, **kwargs) + except Exception as e: + logger.warning(f"pandas 读取所有工作表失败: {e}") + + # 如果 pandas 失败，尝试 XML 方式 + if all_data is None or len(all_data) == 0: + sheet_names = self._extract_sheet_names_from_xml(file_path) + if not sheet_names: + return ParseResult( + success=False, + error=f"无法读取 Excel 文件或文件为空: {file_path}" + ) + # 使用 XML 方式读取每个工作表 + all_data = {} + for sheet_name in sheet_names: + df = self._read_excel_sheet_xml(file_path, sheet_name=sheet_name, header_row=0) + if df is not None and not df.empty: + all_data[sheet_name] = df # 检查是否成功读取到数据 if not all_data or len(all_data) == 0: @@ -257,13 +285,149 @@ class XlsxParser(BaseParser): try: xls = pd.ExcelFile(file_path) sheet_names = xls.sheet_names - if not sheet_names: - return [] - return sheet_names + if sheet_names: + return sheet_names + # pandas 返回空列表，尝试从 XML 提取 + return self._extract_sheet_names_from_xml(file_path) except Exception as e: logger.error(f"获取工作表名称失败: {str(e)}") + # 尝试从 XML 提取 + return self._extract_sheet_names_from_xml(file_path) + + def _extract_sheet_names_from_xml(self, file_path: str) -> List[str]: + """ + 从 Excel 文件的 XML 中提取工作表名称 + + 某些 Excel 文件由于包含非标准元素（如 mc:AlternateContent）， + pandas/openpyxl 无法正确解析工作表列表，此时需要直接从 XML 中提取。 + + Args: + file_path: Excel 文件路径 + + Returns: + 工作表名称列表 + """ + import zipfile + from xml.etree import ElementTree as ET + + try: + with zipfile.ZipFile(file_path, 'r') as z: + if 'xl/workbook.xml' not in z.namelist(): + return [] + content = z.read('xl/workbook.xml') + root = ET.fromstring(content) + + # 命名空间 + ns = {'main': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'} + + sheet_names = [] + for sheet in root.findall('.//main:sheet', ns): + name = sheet.get('name') + if name: + sheet_names.append(name) + + logger.info(f"从 XML 提取工作表: {sheet_names}") + return sheet_names + except Exception as e: + logger.error(f"从 XML 提取工作表名称失败: {e}") return [] + def _read_excel_sheet_xml(self, file_path: str, sheet_name: str = None, header_row: int = 0) -> pd.DataFrame: + """ + 从 XML 直接读取 Excel 工作表数据 + + 当 pandas 无法正确解析时使用此方法。 + + Args: + file_path: Excel 文件路径 + sheet_name: 工作表名称（如果为 None，读取第一个工作表） + header_row: 表头行号（0-indexed） + + Returns: + DataFrame + """ + import zipfile + from xml.etree import ElementTree as ET + + with zipfile.ZipFile(file_path, 'r') as z: + # 获取工作表名称 + sheet_names = self._extract_sheet_names_from_xml(file_path) + if not sheet_names: + raise ValueError("无法从 Excel 文件中找到工作表") + + # 确定要读取的工作表 + target_sheet = sheet_name if sheet_name and sheet_name in sheet_names else sheet_names[0] + sheet_index = sheet_names.index(target_sheet) + 1 # sheet1.xml, sheet2.xml, ... + + # 读取 shared strings + shared_strings = [] + if 'xl/sharedStrings.xml' in z.namelist(): + ss_content = z.read('xl/sharedStrings.xml') + ss_root = ET.fromstring(ss_content) + ns = {'main': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'} + for si in ss_root.findall('.//main:si', ns): + t = si.find('.//main:t', ns) + if t is not None: + shared_strings.append(t.text or '') + else: + shared_strings.append('') + + # 读取工作表 + sheet_file = f'xl/worksheets/sheet{sheet_index}.xml' + if sheet_file not in z.namelist(): + raise ValueError(f"工作表文件 {sheet_file} 不存在") + + sheet_content = z.read(sheet_file) + root = ET.fromstring(sheet_content) + ns = {'main': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'} + + # 收集所有行数据 + all_rows = [] + headers = {} + + for row in root.findall('.//main:row', ns): + row_idx = int(row.get('r', 0)) + row_cells = {} + for cell in row.findall('main:c', ns): + cell_ref = cell.get('r', '') + col_letters = ''.join(filter(str.isalpha, cell_ref)) + cell_type = cell.get('t', 'n') + v = cell.find('main:v', ns) + + if v is not None and v.text: + if cell_type == 's': + # shared string + try: + row_cells[col_letters] = shared_strings[int(v.text)] + except (ValueError, IndexError): + row_cells[col_letters] = v.text + elif cell_type == 'b': + # boolean + row_cells[col_letters] = v.text == '1' + else: + row_cells[col_letters] = v.text + else: + row_cells[col_letters] = None + + # 处理表头行 + if row_idx == header_row + 1: + headers = {**row_cells} + elif row_idx > header_row + 1: + all_rows.append(row_cells) + + # 构建 DataFrame + if headers: + # 按原始列顺序排列 + col_order = list(headers.keys()) + df = pd.DataFrame(all_rows) + if not df.empty: + df = df[col_order] + df.columns = [headers.get(col, col) for col in df.columns] + else: + df = pd.DataFrame(all_rows) + + return df + def _df_to_dict(self, df: pd.DataFrame) -> Dict[str, Any]: """ 将 DataFrame 转换为字典，处理 NaN 值 diff --git a/backend/app/services/excel_storage_service.py b/backend/app/services/excel_storage_service.py index 5c538a7..d324a5f 100644 --- a/backend/app/services/excel_storage_service.py +++ b/backend/app/services/excel_storage_service.py @@ -45,8 +45,25 @@ class ExcelStorageService: return [] content = z.read('xl/workbook.xml') root = ET.fromstring(content) - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} - sheets = root.findall('.//main:sheet', ns) + + # 尝试多种命名空间 + namespaces = [ + 'http://schemas.openxmlformats.org/spreadsheetml/2006/main', + 'http://purl.oclc.org/ooxml/spreadsheetml/main', + ] + + for ns_uri in namespaces: + ns = {'main': ns_uri} + sheets = root.findall('.//main:sheet', ns) + if sheets: + names = [s.get('name') for s in sheets if s.get('name')] + if names: + return names + + # 尝试通配符 + sheets = root.findall('.//{*}sheet') + if not sheets: + sheets = root.findall('.//sheet') return [s.get('name') for s in sheets if s.get('name')] except Exception: return [] @@ -79,72 +96,77 @@ class ExcelStorageService: if 'xl/sharedStrings.xml' in z.namelist(): ss_content = z.read('xl/sharedStrings.xml') ss_root = ET.fromstring(ss_content) - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} - for si in ss_root.findall('.//main:si', ns): - t = si.find('.//main:t', ns) - shared_strings.append(t.text if t is not None else '') + for si in ss_root.iter(): + if si.tag.endswith('}si') or si.tag == 'si': + t = si.find('.//{*}t') + shared_strings.append(t.text if t is not None and t.text else '') sheet_file = f'xl/worksheets/sheet{sheet_index}.xml' sheet_content = z.read(sheet_file) root = ET.fromstring(sheet_content) - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} rows_data = [] - for row in root.findall('.//main:row', ns): - row_idx = int(row.get('r', 0)) - if row_idx <= header_row + 1: - continue + headers = {} - row_cells = {} - for cell in row.findall('main:c', ns): - cell_ref = cell.get('r', '') - col_letters = ''.join(filter(str.isalpha, cell_ref)) - cell_type = cell.get('t', 'n') - v = cell.find('main:v', ns) + for row in root.iter(): + if row.tag.endswith('}row') or row.tag == 'row': + row_idx = int(row.get('r', 0)) - if v is not None and v.text: - if cell_type == 's': - try: - val = shared_strings[int(v.text)] - except (ValueError, IndexError): - val = v.text - elif cell_type == 'b': - val = v.text == '1' - else: - val = v.text - else: - val = None - row_cells[col_letters] = val + # 收集表头行 + if row_idx == header_row + 1: + for cell in row: + if cell.tag.endswith('}c') or cell.tag == 'c': + cell_ref = cell.get('r', '') + col_letters = ''.join(filter(str.isalpha, cell_ref)) + cell_type = cell.get('t', 'n') + v = cell.find('{*}v') + if v is not None and v.text: + if cell_type == 's': + try: + headers[col_letters] = shared_strings[int(v.text)] + except (ValueError, IndexError): + headers[col_letters] = v.text + else: + headers[col_letters] = v.text + else: + headers[col_letters] = col_letters + continue - if row_cells: - rows_data.append(row_cells) + if row_idx <= header_row + 1: + continue + + row_cells = {} + for cell in row: + if cell.tag.endswith('}c') or cell.tag == 'c': + cell_ref = cell.get('r', '') + col_letters = ''.join(filter(str.isalpha, cell_ref)) + cell_type = cell.get('t', 'n') + v = cell.find('{*}v') + + if v is not None and v.text: + if cell_type == 's': + try: + val = shared_strings[int(v.text)] + except (ValueError, IndexError): + val = v.text + elif cell_type == 'b': + val = v.text == '1' + else: + val = v.text + else: + val = None + row_cells[col_letters] = val + + if row_cells: + rows_data.append(row_cells) if not rows_data: return pd.DataFrame() df = pd.DataFrame(rows_data) - if header_row >= 0: - first_row_sheet = f'xl/worksheets/sheet{sheet_index}.xml' - sheet_content = z.read(first_row_sheet) - root = ET.fromstring(sheet_content) - first_row = root.find(f'.//main:row[@r="{header_row + 1}"]', ns) - if first_row is not None: - headers = {} - for cell in first_row.findall('main:c', ns): - cell_ref = cell.get('r', '') - col_letters = ''.join(filter(str.isalpha, cell_ref)) - cell_type = cell.get('t', 'n') - v = cell.find('main:v', ns) - if v is not None and v.text: - if cell_type == 's': - try: - headers[col_letters] = shared_strings[int(v.text)] - except (ValueError, IndexError): - headers[col_letters] = v.text - else: - headers[col_letters] = v.text - df.columns = [headers.get(col, col) for col in df.columns] + if headers: + df.columns = [headers.get(col, col) for col in df.columns] return df except Exception as e: diff --git a/backend/app/services/table_rag_service.py b/backend/app/services/table_rag_service.py index ddf6bf3..d3f5e68 100644 --- a/backend/app/services/table_rag_service.py +++ b/backend/app/services/table_rag_service.py @@ -47,6 +47,12 @@ class TableRAGService: import zipfile from xml.etree import ElementTree as ET + # 尝试多种命名空间 + namespaces = [ + 'http://schemas.openxmlformats.org/spreadsheetml/2006/main', + 'http://purl.oclc.org/ooxml/spreadsheetml/main', + ] + try: with zipfile.ZipFile(file_path, 'r') as z: # 读取 workbook.xml @@ -56,12 +62,27 @@ class TableRAGService: content = z.read('xl/workbook.xml') root = ET.fromstring(content) - # 定义命名空间 - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} + # 尝试多种命名空间 + for ns_uri in namespaces: + ns = {'main': ns_uri} + sheets = root.findall('.//main:sheet', ns) + if sheets: + names = [s.get('name') for s in sheets if s.get('name')] + if names: + logger.info(f"使用命名空间 {ns_uri} 提取到工作表: {names}") + return names - # 提取所有 sheet 的 name 属性 - sheets = root.findall('.//main:sheet', ns) - return [s.get('name') for s in sheets if s.get('name')] + # 如果都没找到，尝试不带命名空间 + sheets = root.findall('.//sheet') + if not sheets: + sheets = root.findall('.//{*}sheet') + names = [s.get('name') for s in sheets if s.get('name')] + if names: + logger.info(f"使用通配符提取到工作表: {names}") + return names + + logger.warning(f"无法从 XML 提取工作表，尝试的文件: {file_path}") + return [] except Exception as e: logger.warning(f"从 XML 提取工作表失败: {file_path}, error: {e}") @@ -84,6 +105,12 @@ class TableRAGService: import zipfile from xml.etree import ElementTree as ET + # 定义命名空间 + namespaces = [ + 'http://schemas.openxmlformats.org/spreadsheetml/2006/main', + 'http://purl.oclc.org/ooxml/spreadsheetml/main', + ] + try: # 先尝试用 pandas 正常读取 df = pd.read_excel(file_path, sheet_name=sheet_name, header=header_row) @@ -111,13 +138,14 @@ class TableRAGService: if 'xl/sharedStrings.xml' in z.namelist(): ss_content = z.read('xl/sharedStrings.xml') ss_root = ET.fromstring(ss_content) - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} - for si in ss_root.findall('.//main:si', ns): - t = si.find('.//main:t', ns) - if t is not None: - shared_strings.append(t.text or '') - else: - shared_strings.append('') + # 使用通配符查找所有 si 元素 + for si in ss_root.iter(): + if si.tag.endswith('}si') or si.tag == 'si': + t = si.find('.//{*}t') + if t is not None and t.text: + shared_strings.append(t.text) + else: + shared_strings.append('') # 读取工作表 sheet_file = f'xl/worksheets/sheet{sheet_index}.xml' @@ -126,75 +154,75 @@ class TableRAGService: sheet_content = z.read(sheet_file) root = ET.fromstring(sheet_content) - ns = {'main': 'http://purl.oclc.org/ooxml/spreadsheetml/main'} - # 解析行 + # 解析行 - 使用通配符查找 rows_data = [] - for row in root.findall('.//main:row', ns): - row_idx = int(row.get('r', 0)) - # header_row 是 0-indexed，row_idx 是 1-indexed - # 如果 header_row=0 表示第一行是表头，需要跳过 row_idx=1 - if row_idx <= header_row + 1: - continue # 跳过表头行 + headers = {} - row_cells = {} - for cell in row.findall('main:c', ns): - cell_ref = cell.get('r', '') - col_letters = ''.join(filter(str.isalpha, cell_ref)) - cell_type = cell.get('t', 'n') - v = cell.find('main:v', ns) + for row in root.iter(): + if row.tag.endswith('}row') or row.tag == 'row': + row_idx = int(row.get('r', 0)) - if v is not None and v.text: - if cell_type == 's': - # shared string - try: - val = shared_strings[int(v.text)] - except (ValueError, IndexError): - val = v.text - elif cell_type == 'b': - # boolean - val = v.text == '1' - else: - # number or other - val = v.text - else: - val = None + # 收集表头行 + if row_idx == header_row + 1: + for cell in row: + if cell.tag.endswith('}c') or cell.tag == 'c': + cell_ref = cell.get('r', '') + col_letters = ''.join(filter(str.isalpha, cell_ref)) + cell_type = cell.get('t', 'n') + v = cell.find('{*}v') + if v is not None and v.text: + if cell_type == 's': + try: + headers[col_letters] = shared_strings[int(v.text)] + except (ValueError, IndexError): + headers[col_letters] = v.text + else: + headers[col_letters] = v.text + else: + headers[col_letters] = col_letters + continue - row_cells[col_letters] = val + # 跳过表头行之后的数据行 + if row_idx <= header_row + 1: + continue - if row_cells: - rows_data.append(row_cells) + row_cells = {} + for cell in row: + if cell.tag.endswith('}c') or cell.tag == 'c': + cell_ref = cell.get('r', '') + col_letters = ''.join(filter(str.isalpha, cell_ref)) + cell_type = cell.get('t', 'n') + v = cell.find('{*}v') + + if v is not None and v.text: + if cell_type == 's': + try: + val = shared_strings[int(v.text)] + except (ValueError, IndexError): + val = v.text + elif cell_type == 'b': + val = v.text == '1' + else: + val = v.text + else: + val = None + + row_cells[col_letters] = val + + if row_cells: + rows_data.append(row_cells) # 转换为 DataFrame if not rows_data: + logger.warning(f"XML 解析结果为空: {file_path}, sheet: {target_sheet}") return pd.DataFrame() df = pd.DataFrame(rows_data) - # 如果有 header_row，重新设置列名 - if header_row >= 0: - # 重新读取第一行作为表头 - first_row_sheet = f'xl/worksheets/sheet{sheet_index}.xml' - sheet_content = z.read(first_row_sheet) - root = ET.fromstring(sheet_content) - first_row = root.find(f'.//main:row[@r="{header_row + 1}"]', ns) - if first_row is not None: - headers = {} - for cell in first_row.findall('main:c', ns): - cell_ref = cell.get('r', '') - col_letters = ''.join(filter(str.isalpha, cell_ref)) - cell_type = cell.get('t', 'n') - v = cell.find('main:v', ns) - if v is not None and v.text: - if cell_type == 's': - try: - headers[col_letters] = shared_strings[int(v.text)] - except (ValueError, IndexError): - headers[col_letters] = v.text - else: - headers[col_letters] = v.text - # 重命名列 - df.columns = [headers.get(col, col) for col in df.columns] + # 应用表头 + if headers: + df.columns = [headers.get(col, col) for col in df.columns] logger.info(f"XML 解析完成: {len(df)} 行, {len(df.columns)} 列") return df diff --git a/frontend - 副本 b/frontend - 副本 new file mode 160000 index 0000000..7971259 --- /dev/null +++ b/frontend - 副本 @@ -0,0 +1 @@ +Subproject commit 797125940be7e8415e1a1d7c6051a2cb9f896d97 diff --git a/frontend/src/db/backend-api.ts b/frontend/src/db/backend-api.ts index c10d938..8944353 100644 --- a/frontend/src/db/backend-api.ts +++ b/frontend/src/db/backend-api.ts @@ -563,6 +563,30 @@ export const backendApi = { } }, + /** + * 重建 RAG 索引 + */ + async rebuildRAGIndex(): Promise<{ + success: boolean; + message: string; + }> { + const url = `${BACKEND_BASE_URL}/rag/rebuild`; + + try { + const response = await fetch(url, { + method: 'POST', + }); + if (!response.ok) { + const error = await response.json(); + throw new Error(error.detail || '重建索引失败'); + } + return await response.json(); + } catch (error) { + console.error('重建 RAG 索引失败:', error); + throw error; + } + }, + // ==================== 表格填写 ==================== /** diff --git a/frontend/src/pages/Documents.tsx b/frontend/src/pages/Documents.tsx index 29f5969..7e1abd6 100644 --- a/frontend/src/pages/Documents.tsx +++ b/frontend/src/pages/Documents.tsx @@ -91,6 +91,13 @@ const Documents: React.FC = () => { const [mdStreaming, setMdStreaming] = useState(false); const [mdStreamingContent, setMdStreamingContent] = useState(''); + // RAG 向量检索相关状态 + const [ragStatus, setRagStatus] = useState<{ vector_count: number; collections: string[] } | null>(null); + const [ragSearchQuery, setRagSearchQuery] = useState(''); + const [ragSearching, setRagSearching] = useState(false); + const [ragResults, setRagResults] = useState([]); + const [ragRebuilding, setRagRebuilding] = useState(false); + // 解析选项 const [parseOptions, setParseOptions] = useState({ parseAllSheets: false, @@ -146,6 +153,61 @@ const Documents: React.FC = () => { loadDocuments(); }, [loadDocuments]); + // 获取 RAG 状态 + useEffect(() => { + const fetchRagStatus = async () => { + try { + const status = await backendApi.getRAGStatus(); + if (status.success) { + setRagStatus({ vector_count: status.vector_count, collections: status.collections }); + } + } catch (err) { + console.error('获取 RAG 状态失败:', err); + } + }; + fetchRagStatus(); + }, []); + + // RAG 搜索 + const handleRagSearch = async () => { + if (!ragSearchQuery.trim()) { + toast.error('请输入搜索内容'); + return; + } + setRagSearching(true); + setRagResults([]); + try { + const result = await backendApi.searchRAG(ragSearchQuery, 5); + if (result.success) { + setRagResults(result.results || []); + } + } catch (err: any) { + toast.error(err.message || '搜索失败'); + } finally { + setRagSearching(false); + } + }; + + // 重建 RAG 索引 + const handleRebuildRag = async () => { + setRagRebuilding(true); + try { + const result = await backendApi.rebuildRAGIndex(); + if (result.success) { + toast.success(result.message || '索引重建成功'); + // 刷新状态 + const status = await backendApi.getRAGStatus(); + if (status.success) { + setRagStatus({ vector_count: status.vector_count, collections: status.collections }); + } + } + } catch (err: any) { + toast.error(err.message || '重建索引失败'); + } finally { + setRagRebuilding(false); + } + }; + // 文件上传处理 const onDrop = async (acceptedFiles: File[]) => { const file = acceptedFiles[0]; @@ -688,7 +750,7 @@ const Documents: React.FC = () => { - {analysisTypes.map(type => ( + {(analysisTypes || []).map(type => (
{getAnalysisIcon(type.value)} @@ -851,9 +913,9 @@ const Documents: React.FC = () => {
- {aiAnalysis.analysis?.sheets ? ( + {aiAnalysis.analysis?.sheets && typeof aiAnalysis.analysis.sheets === 'object' ? (
- {Object.entries(aiAnalysis.analysis.sheets).map(([sheetName, result]: [string, any]) => ( + {Object.entries(aiAnalysis.analysis.sheets || {}).map(([sheetName, result]: [string, any]) => (
@@ -940,7 +1002,7 @@ const Documents: React.FC = () => { 数据预览 - {parseResult.data.sheets ? '所有工作表数据' : '工作表数据'} + {parseResult?.data?.sheets ? '所有工作表数据' : '工作表数据'} + + + + {/* 搜索框 */} +
+ setRagSearchQuery(e.target.value)} + onKeyDown={(e) => e.key === 'Enter' && handleRagSearch()} + className="flex-1" + /> + +
+ {/* 搜索结果 */} + {(ragResults?.length ?? 0) > 0 && ( +
+ + {(ragResults || []).map((result, index) => ( +
+
+ + 相似度: {(result.score * 100).toFixed(1)}% + + {result.metadata?.table_name && ( + + {result.metadata.table_name} + + )} +
+

{result.content}

+ {result.metadata && ( +
+ {result.metadata.field_name && ( + + 字段: {result.metadata.field_name} + + )} + {result.metadata.filename && ( + + 文件: {result.metadata.filename} + + )} +
+ )} +
+ ))} +
+ )} + + + {/* 文档列表 */} @@ -1002,9 +1141,9 @@ const Documents: React.FC = () => { {/* 文档列表 */} {loading ? (
{[1, 2, 3].map(i => )}
- ) : filteredDocs.length > 0 ? ( + ) : (filteredDocs?.length ?? 0) > 0 ? (
- {filteredDocs.map(doc => ( + {(filteredDocs || []).map(doc => (