generateJxlsTemplate
Generate Excel templates conforming to JXLS specifications for structured data processing. Define data structures and formats to create reusable templates for JSON or array data.
Instructions
根据输入参数生成符合JXLS规范的Excel模板文件
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| templateName | Yes | 模板文件名称 | |
| dataStruct | Yes | 数据结构定义 | |
| dataFormat | Yes | 数据格式类型 | |
| sampleData | No | 示例数据（可选） | |
| outputPath | No | 导出文件路径（可选） |
Implementation Reference
- Core handler function that implements the generateJxlsTemplate tool logic: validates request, generates Excel template based on json/array format, applies JXLS annotations, and returns response.
def generate_template(self, request: GenerateTemplateRequest) -> GenerateTemplateResponse: """主要模板生成方法""" try: # 参数验证 self._validate_request(request) # 生成文件路径 file_path = self._generate_file_path(request.templateName, request.outputPath) # 根据数据格式生成模板 if request.dataFormat == "json": area_annotation, each_annotation = self._create_json_template(request, file_path) else: # array area_annotation, each_annotation = self._create_array_template(request, file_path) # 计算数据结构信息 column_count = len(request.dataStruct.dataFields) last_cell = self.jxls_helper.calculate_last_cell(column_count, 2) # 构建响应 jxls_annotations = JxlsAnnotations( area=area_annotation, each=each_annotation ) data_struct_info = DataStructInfo( collectName=request.dataStruct.collectName, itemVariable=request.dataStruct.itemVariable, columnCount=column_count, lastCell=last_cell ) return GenerateTemplateResponse.success_response( template_path=file_path, message="JXLS模板生成成功", jxls_annotations=jxls_annotations, data_struct=data_struct_info ) except ValueError as e: return GenerateTemplateResponse.error_response( error="参数验证失败", details=str(e) ) except Exception as e: return GenerateTemplateResponse.error_response( error="模板生成失败", details=str(e) ) - src/jxls_mcp/server.py:127-173 (handler)MCP server handler for generateJxlsTemplate tool call: parses arguments, calls TemplateGenerator, formats response as TextContent.
async def _handle_generate_template(self, arguments: Dict[str, Any]) -> List[TextContent]: """处理generateJxlsTemplate工具调用""" try: # 验证和解析请求 request = GenerateTemplateRequest(**arguments) logger.info(f"生成模板请求: {request.templateName}, 格式: {request.dataFormat}") # 生成模板 response = self.template_generator.generate_template(request) # 记录结果 if response.success: logger.info(f"模板生成成功: {response.templatePath}") else: logger.error(f"模板生成失败: {response.error} - {response.details}") # 返回响应 return [TextContent( type="text", text=response.model_dump_json(indent=2) )] except ValidationError as e: logger.error(f"请求参数验证失败: {e}") error_response = { "success": False, "message": "请求参数验证失败", "error": "参数验证失败", "details": str(e) } return [TextContent( type="text", text=str(error_response) )] except Exception as e: logger.error(f"处理请求时发生未知错误: {e}") error_response = { "success": False, "message": "处理请求时发生未知错误", "error": "内部服务器错误", "details": str(e) } return [TextContent( type="text", text=str(error_response) )] - src/jxls_mcp/models/request.py:46-87 (schema)Pydantic schema/model for GenerateTemplateRequest input validation.
class GenerateTemplateRequest(BaseModel): """生成模板请求模型""" templateName: str = Field( ..., min_length=1, max_length=100, description="模板文件名称" ) dataStruct: DataStruct = Field(..., description="数据结构定义") dataFormat: Literal["json", "array"] = Field(..., description="数据格式类型") sampleData: Optional[List[Any]] = Field(None, description="示例数据（用于验证）") outputPath: Optional[str] = Field(None, description="导出文件路径") @model_validator(mode='after') def validate_data_format_consistency(self) -> 'GenerateTemplateRequest': """验证数据格式与dataStruct的一致性 对于需要数据绑定的字段： - JSON格式需要提供field属性 - 数组格式需要提供index属性 允许field和index都为空，表示该列不需要数据绑定 """ if self.dataFormat == "json": # JSON格式时，如果提供了index但没有field，则报错 for field in self.dataStruct.dataFields: if field.index is not None and not field.field: raise ValueError( f"JSON格式时字段'{field.name}'不应提供index属性，" f"请使用field属性或留空表示不绑定数据" ) elif self.dataFormat == "array": # 数组格式时，如果提供了field但没有index，则报错 for field in self.dataStruct.dataFields: if field.field and field.index is None: raise ValueError( f"数组格式时字段'{field.name}'不应提供field属性，" f"请使用index属性或留空表示不绑定数据" ) return self - src/jxls_mcp/server.py:46-116 (registration)Tool registration in MCP server list_tools, including inputSchema.
Tool( name="generateJxlsTemplate", description="根据输入参数生成符合JXLS规范的Excel模板文件", inputSchema={ "type": "object", "properties": { "templateName": { "type": "string", "description": "模板文件名称", "minLength": 1, "maxLength": 100 }, "dataStruct": { "type": "object", "description": "数据结构定义", "properties": { "collectName": { "type": "string", "description": "集合变量名称", "minLength": 1 }, "itemVariable": { "type": "string", "description": "循环项变量名", "minLength": 1 }, "dataFields": { "type": "array", "description": "字段定义数组", "minItems": 1, "items": { "type": "object", "properties": { "name": { "type": "string", "description": "列标题显示名称" }, "field": { "type": "string", "description": "JSON格式字段名" }, "index": { "type": "integer", "description": "数组格式索引位置", "minimum": 0 } }, "required": ["name"] } } }, "required": ["collectName", "itemVariable", "dataFields"] }, "dataFormat": { "type": "string", "enum": ["json", "array"], "description": "数据格式类型" }, "sampleData": { "type": "array", "description": "示例数据（可选）", "items": {} }, "outputPath": { "type": "string", "description": "导出文件路径（可选）" } }, "required": ["templateName", "dataStruct", "dataFormat"] } ) - Pydantic model for output response structure.
class GenerateTemplateResponse(BaseModel): """生成模板响应模型""" success: bool = Field(..., description="操作是否成功") templatePath: Optional[str] = Field(None, description="生成的模板文件路径") message: str = Field(..., description="响应消息") jxlsAnnotations: Optional[JxlsAnnotations] = Field(None, description="JXLS批注信息") dataStruct: Optional[DataStructInfo] = Field(None, description="数据结构信息") error: Optional[str] = Field(None, description="错误类型") details: Optional[str] = Field(None, description="错误详细信息") @classmethod def success_response( cls, template_path: str, message: str, jxls_annotations: JxlsAnnotations, data_struct: DataStructInfo ) -> 'GenerateTemplateResponse': """创建成功响应""" return cls( success=True, templatePath=template_path, message=message, jxlsAnnotations=jxls_annotations, dataStruct=data_struct ) @classmethod def error_response( cls, error: str, details: str, message: Optional[str] = None ) -> 'GenerateTemplateResponse': """创建错误响应""" return cls( success=False, message=message or f"操作失败: {error}", error=error, details=details )