feat(dc): Complete Tool C quick action buttons Phase 1-2 - 7 functions
Summary: - Implement 7 quick action functions (filter, recode, binning, conditional, dropna, compute, pivot) - Refactor to pre-written Python functions architecture (stable and secure) - Add 7 Python operations modules with full type hints - Add 7 frontend Dialog components with user-friendly UI - Fix NaN serialization issues and auto type conversion - Update all related documentation Technical Details: - Python: operations/ module (filter.py, recode.py, binning.py, conditional.py, dropna.py, compute.py, pivot.py) - Backend: QuickActionService.ts with 7 execute methods - Frontend: 7 Dialog components with complete validation - Toolbar: Enable 7 quick action buttons Status: Phase 1-2 completed, basic testing passed, ready for further testing
This commit is contained in:
@@ -0,0 +1,371 @@
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/**
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* 快速操作控制器
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*
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* 功能：
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* - 处理功能按钮的API请求
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* - 调用代码生成器生成Python代码
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* - 执行代码并返回结果
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*
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* API端点：
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* - POST /api/v1/dc/tool-c/quick-action 执行快速操作
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* - POST /api/v1/dc/tool-c/quick-action/preview 预览操作结果
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*
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* @module QuickActionController
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*/
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import { FastifyRequest, FastifyReply } from 'fastify';
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import { logger } from '../../../../common/logging/index.js';
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import { quickActionService } from '../services/QuickActionService.js';
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import { sessionService } from '../services/SessionService.js';
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// @ts-ignore - uuid 类型定义
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import { v4 as uuidv4 } from 'uuid';
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import { prisma } from '../../../../config/database.js';
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// ==================== 类型定义 ====================
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interface QuickActionRequest {
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sessionId: string;
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action: 'filter' | 'recode' | 'binning' | 'conditional' | 'dropna' | 'dedup';
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params: any;
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userId?: string;
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}
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interface QuickActionResponse {
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success: boolean;
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data?: {
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newDataPreview: any[];
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affectedRows: number;
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message: string;
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generatedCode?: string;
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};
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error?: string;
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}
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// ==================== 控制器 ====================
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export class QuickActionController {
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/**
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* POST /api/v1/dc/tool-c/quick-action
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* 执行快速操作
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*/
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async execute(
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request: FastifyRequest<{ Body: QuickActionRequest }>,
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reply: FastifyReply
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): Promise<QuickActionResponse> {
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const startTime = Date.now();
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let actionDescription = '';
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try {
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const { sessionId, action, params } = request.body;
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const userId = (request as any).userId || 'test-user-001';
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logger.info(`[QuickAction] 执行快速操作: action=${action}, sessionId=${sessionId}`);
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// 1. 验证参数
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if (!sessionId || !action || !params) {
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logger.warn(`[QuickAction] 参数验证失败: sessionId=${sessionId}, action=${action}`);
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return reply.code(400).send({
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success: false,
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error: '参数错误：缺少必要参数'
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});
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}
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// 2. 验证Session
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try {
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await sessionService.getSession(sessionId);
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} catch (error: any) {
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logger.error(`[QuickAction] Session不存在: ${sessionId}`);
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return reply.code(404).send({
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success: false,
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error: '会话不存在或已过期，请重新上传文件'
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});
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}
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// 3. 确定操作类型
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switch (action) {
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case 'filter':
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actionDescription = '高级筛选';
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break;
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case 'recode':
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actionDescription = '数值映射';
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break;
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case 'binning':
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actionDescription = '生成分类变量';
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break;
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case 'conditional':
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actionDescription = '条件生成列';
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break;
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case 'dropna':
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actionDescription = '删除缺失值';
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break;
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case 'compute':
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actionDescription = '计算列';
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break;
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case 'pivot':
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actionDescription = 'Pivot转换';
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break;
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default:
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logger.warn(`[QuickAction] 不支持的操作: ${action}`);
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return reply.code(400).send({
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success: false,
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error: `不支持的操作类型`
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});
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}
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// 4. 获取完整数据
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let fullData: any[];
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try {
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fullData = await sessionService.getFullData(sessionId);
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if (!fullData || fullData.length === 0) {
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logger.warn(`[QuickAction] 数据为空: sessionId=${sessionId}`);
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return reply.code(400).send({
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success: false,
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error: '数据为空，请重新上传文件'
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});
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}
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} catch (error: any) {
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logger.error(`[QuickAction] 获取数据失败: ${error.message}`);
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return reply.code(500).send({
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success: false,
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error: '无法读取数据，请稍后重试'
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});
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}
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// 5. 调用Python预写函数API
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let executeResult: any;
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try {
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// 根据操作类型调用不同的API
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switch (action) {
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case 'filter':
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executeResult = await quickActionService.executeFilter(fullData, params);
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break;
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case 'recode':
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executeResult = await quickActionService.executeRecode(fullData, params);
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break;
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case 'binning':
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executeResult = await quickActionService.executeBinning(fullData, params);
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break;
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case 'conditional':
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executeResult = await quickActionService.executeConditional(fullData, params);
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break;
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case 'dropna':
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executeResult = await quickActionService.executeDropna(fullData, params);
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break;
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case 'compute':
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executeResult = await quickActionService.executeCompute(fullData, params);
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break;
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case 'pivot':
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executeResult = await quickActionService.executePivot(fullData, params);
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break;
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}
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if (!executeResult.success) {
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logger.error(`[QuickAction] 执行失败: ${executeResult.error}`);
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return reply.code(500).send({
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success: false,
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error: `${actionDescription}失败：${this.formatExecuteError(executeResult.error)}`
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});
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}
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// 检查结果数据
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if (!executeResult.result_data || executeResult.result_data.length === 0) {
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logger.warn(`[QuickAction] 执行结果为空`);
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return reply.code(400).send({
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success: false,
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error: `${actionDescription}后数据为空，请检查筛选条件`
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});
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}
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} catch (error: any) {
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logger.error(`[QuickAction] 执行异常: ${error.message}`);
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return reply.code(500).send({
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success: false,
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error: `执行失败：${error.message || '服务异常，请稍后重试'}`
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});
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}
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// 6. 保存结果到OSS
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try {
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await sessionService.saveProcessedData(sessionId, executeResult.result_data);
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} catch (error: any) {
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logger.error(`[QuickAction] 保存数据失败: ${error.message}`);
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// 保存失败不影响返回结果，只记录日志
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}
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// 7. 保存操作记录到历史
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try {
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const messageId = uuidv4();
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await prisma.dcToolCAiHistory.create({
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data: {
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id: messageId,
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sessionId,
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userId,
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role: 'system',
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content: `[功能按钮] ${actionDescription}`,
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generatedCode: `操作类型: ${action}\n参数: ${JSON.stringify(params, null, 2)}`,
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codeExplanation: `用户通过功能按钮执行了${actionDescription}操作（预写函数）`,
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executeStatus: 'success',
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executeResult: {
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affectedRows: executeResult.result_data?.length || 0,
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executionTime: executeResult.execution_time,
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output: executeResult.output,
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},
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model: 'prewritten-function',
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}
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});
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} catch (error: any) {
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logger.error(`[QuickAction] 保存历史失败: ${error.message}`);
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// 历史保存失败不影响主流程
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}
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// 8. 返回预览结果（前50行）
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const resultData = executeResult.result_data || [];
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const preview = resultData.slice(0, 50);
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const duration = Date.now() - startTime;
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logger.info(`[QuickAction] 操作成功: ${actionDescription}, 结果=${resultData.length}行, 耗时=${duration}ms, Python执行=${executeResult.execution_time?.toFixed(3)}s`);
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return reply.code(200).send({
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success: true,
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data: {
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newDataPreview: preview,
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affectedRows: resultData.length,
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message: `${actionDescription}完成`,
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executionTime: executeResult.execution_time,
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output: executeResult.output,
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}
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});
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} catch (error: any) {
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const duration = Date.now() - startTime;
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logger.error(`[QuickAction] 未知错误: ${error.message}, 耗时=${duration}ms`, error.stack);
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return reply.code(500).send({
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success: false,
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error: '操作失败，请稍后重试或联系技术支持'
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});
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}
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}
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/**
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* 格式化执行错误信息（用户友好）
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*/
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private formatExecuteError(error: string | undefined): string {
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if (!error) return '未知错误';
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// 提取关键错误信息
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if (error.includes('KeyError')) {
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const match = error.match(/KeyError: ['"](.+?)['"]/);
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return match ? `列名不存在：${match[1]}` : '列名错误';
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}
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if (error.includes('ValueError')) {
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if (error.includes('could not convert')) {
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return '数据类型错误，请检查列的数据类型';
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}
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return '数值错误，请检查输入';
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}
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if (error.includes('TypeError')) {
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return '操作类型不匹配';
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}
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if (error.includes('IndexError')) {
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return '索引越界';
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}
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// 返回简化的错误信息
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const lines = error.split('\n');
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const lastLine = lines[lines.length - 1] || lines[lines.length - 2];
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return lastLine?.substring(0, 100) || '执行错误';
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}
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/**
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* POST /api/v1/dc/tool-c/quick-action/preview
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* 预览操作结果（不实际保存）
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*/
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async preview(
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request: FastifyRequest<{ Body: QuickActionRequest }>,
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reply: FastifyReply
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) {
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try {
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const { sessionId, action, params } = request.body;
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logger.info(`[QuickAction] 预览操作: action=${action}`);
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// 1. 获取完整数据
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const fullData = await sessionService.getFullData(sessionId);
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// 2. 调用Python预写函数API
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let executeResult: any;
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switch (action) {
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case 'filter':
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executeResult = await quickActionService.executeFilter(fullData, params);
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break;
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case 'recode':
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executeResult = await quickActionService.executeRecode(fullData, params);
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break;
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case 'binning':
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executeResult = await quickActionService.executeBinning(fullData, params);
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break;
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case 'conditional':
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executeResult = await quickActionService.executeConditional(fullData, params);
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break;
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case 'dropna':
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executeResult = await quickActionService.executeDropna(fullData, params);
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break;
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case 'pivot':
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executeResult = await quickActionService.executePivot(fullData, params);
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break;
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default:
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return reply.code(400).send({ success: false, error: '不支持的操作' });
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}
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if (!executeResult.success) {
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return reply.code(500).send({
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success: false,
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error: executeResult.error
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});
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}
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// 3. 返回前10行预览 + 影响统计
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const resultData = executeResult.result_data || [];
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const preview = resultData.slice(0, 10);
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const originalRows = fullData.length;
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const newRows = resultData.length;
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let estimatedChange = '';
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if (action === 'filter' || action === 'dropna') {
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estimatedChange = `将保留 ${newRows} 行（删除 ${originalRows - newRows} 行）`;
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} else if (action === 'recode' || action === 'binning' || action === 'conditional' || action === 'compute') {
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estimatedChange = `将新增 1 列`;
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} else if (action === 'pivot') {
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const originalCols = Object.keys(fullData[0] || {}).length;
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const newCols = Object.keys(resultData[0] || {}).length;
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estimatedChange = `行数: ${originalRows} → ${newRows}, 列数: ${originalCols} → ${newCols}`;
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}
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return reply.code(200).send({
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success: true,
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data: {
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preview,
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estimatedChange,
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originalRows,
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newRows,
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}
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});
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} catch (error: any) {
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logger.error(`[QuickAction] 预览失败: ${error.message}`);
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return reply.code(500).send({
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success: false,
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error: error.message
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});
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}
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}
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}
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// ==================== 导出单例 ====================
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export const quickActionController = new QuickActionController();
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@@ -17,6 +17,7 @@ import { MultipartFile } from '@fastify/multipart';
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import { logger } from '../../../../common/logging/index.js';
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import { sessionService } from '../services/SessionService.js';
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import { dataProcessService } from '../services/DataProcessService.js';
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import * as xlsx from 'xlsx';
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// ==================== 请求参数类型定义 ====================
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@@ -291,6 +292,76 @@ export class SessionController {
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});
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}
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}
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/**
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* ✨ 导出Excel文件（新增）
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*
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* GET /api/v1/dc/tool-c/sessions/:id/export
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*/
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async exportData(
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request: FastifyRequest<{ Params: SessionIdParams }>,
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reply: FastifyReply
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) {
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try {
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const { id } = request.params;
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logger.info(`[SessionController] 导出Excel: ${id}`);
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// 1. 获取Session信息
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const session = await sessionService.getSession(id);
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// 2. 获取完整数据
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const data = await sessionService.getFullData(id);
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// 3. 生成Excel
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const workbook = xlsx.utils.book_new();
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const worksheet = xlsx.utils.json_to_sheet(data);
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// 设置列宽（自动调整）
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const colWidths = session.columns.map(col => {
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const maxLength = Math.max(
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col.length,
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...data.slice(0, 100).map(row => String(row[col] || '').length)
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);
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return { wch: Math.min(maxLength + 2, 50) };
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});
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worksheet['!cols'] = colWidths;
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xlsx.utils.book_append_sheet(workbook, worksheet, 'Data');
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// 4. 生成Buffer
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const buffer = xlsx.write(workbook, {
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type: 'buffer',
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bookType: 'xlsx',
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compression: true,
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});
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// 5. 生成文件名（加上_cleaned后缀和时间戳）
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const timestamp = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
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const baseFileName = session.fileName.replace(/\.[^/.]+$/, ''); // 去除扩展名
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const exportFileName = `${baseFileName}_cleaned_${timestamp}.xlsx`;
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logger.info(`[SessionController] 导出成功: ${exportFileName}, 大小: ${(buffer.length / 1024).toFixed(2)}KB`);
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// 6. 返回文件
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reply.header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet');
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reply.header('Content-Disposition', `attachment; filename="${encodeURIComponent(exportFileName)}"`);
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reply.header('Content-Length', buffer.length);
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return reply.send(buffer);
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||||
} catch (error: any) {
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logger.error(`[SessionController] 导出Excel失败: ${error.message}`);
|
||||
|
||||
const statusCode = error.message.includes('不存在') || error.message.includes('过期')
|
||||
? 404
|
||||
: 500;
|
||||
|
||||
return reply.code(statusCode).send({
|
||||
success: false,
|
||||
error: error.message || '导出Excel失败',
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// ==================== 导出单例实例 ====================
|
||||
|
||||
228
backend/src/modules/dc/tool-c/controllers/StreamAIController.ts
Normal file
228
backend/src/modules/dc/tool-c/controllers/StreamAIController.ts
Normal file
@@ -0,0 +1,228 @@
|
||||
/**
|
||||
* 流式AI处理控制器
|
||||
*
|
||||
* 功能：
|
||||
* - 分步骤展示AI思考过程
|
||||
* - 支持重试机制（最多3次）
|
||||
* - 实时推送步骤进度和错误信息
|
||||
*
|
||||
* API端点：
|
||||
* - POST /api/v1/dc/tool-c/ai/stream-process 流式处理请求
|
||||
*
|
||||
* @module StreamAIController
|
||||
*/
|
||||
|
||||
import { FastifyRequest, FastifyReply } from 'fastify';
|
||||
import { logger } from '../../../../common/logging/index.js';
|
||||
import { aiCodeService } from '../services/AICodeService.js';
|
||||
import { sessionService } from '../services/SessionService.js';
|
||||
|
||||
// ==================== 类型定义 ====================
|
||||
|
||||
interface StreamProcessBody {
|
||||
sessionId: string;
|
||||
message: string;
|
||||
maxRetries?: number;
|
||||
}
|
||||
|
||||
interface StreamMessage {
|
||||
step: number;
|
||||
stepName: string;
|
||||
status: 'running' | 'success' | 'failed' | 'retrying';
|
||||
message: string;
|
||||
data?: any;
|
||||
error?: string;
|
||||
retryCount?: number;
|
||||
timestamp: number;
|
||||
}
|
||||
|
||||
// ==================== 控制器 ====================
|
||||
|
||||
export class StreamAIController {
|
||||
|
||||
/**
|
||||
* POST /api/v1/dc/tool-c/ai/stream-process
|
||||
* 流式处理请求（分步骤展示）
|
||||
*/
|
||||
async streamProcess(request: FastifyRequest, reply: FastifyReply) {
|
||||
try {
|
||||
const { sessionId, message, maxRetries = 3 } = request.body as StreamProcessBody;
|
||||
|
||||
logger.info(`[StreamAI] 收到流式处理请求: sessionId=${sessionId}`);
|
||||
|
||||
// 参数验证
|
||||
if (!sessionId || !message) {
|
||||
return reply.code(400).send({
|
||||
success: false,
|
||||
error: '缺少必要参数：sessionId 或 message'
|
||||
});
|
||||
}
|
||||
|
||||
// 设置SSE响应头
|
||||
reply.raw.setHeader('Content-Type', 'text/event-stream');
|
||||
reply.raw.setHeader('Cache-Control', 'no-cache');
|
||||
reply.raw.setHeader('Connection', 'keep-alive');
|
||||
reply.raw.setHeader('X-Accel-Buffering', 'no'); // 禁用Nginx缓冲
|
||||
|
||||
// 发送步骤消息的辅助函数
|
||||
const sendStep = (step: number, stepName: string, status: StreamMessage['status'], message: string, data?: any, error?: string, retryCount?: number) => {
|
||||
const streamMsg: StreamMessage = {
|
||||
step,
|
||||
stepName,
|
||||
status,
|
||||
message,
|
||||
data,
|
||||
error,
|
||||
retryCount,
|
||||
timestamp: Date.now(),
|
||||
};
|
||||
reply.raw.write(`data: ${JSON.stringify(streamMsg)}\n\n`);
|
||||
};
|
||||
|
||||
let attempt = 0;
|
||||
let lastError: string | null = null;
|
||||
let finalSuccess = false;
|
||||
|
||||
// 重试循环
|
||||
while (attempt < maxRetries && !finalSuccess) {
|
||||
try {
|
||||
const currentAttempt = attempt + 1;
|
||||
const isRetry = attempt > 0;
|
||||
|
||||
// ========== Step 1: 分析需求 ==========
|
||||
if (isRetry) {
|
||||
sendStep(1, 'retry', 'retrying', `🔄 第${currentAttempt}次尝试：重新分析需求...`, { attempt: currentAttempt, lastError }, undefined, attempt);
|
||||
await this.sleep(500); // 短暂延迟，让用户看清重试提示
|
||||
} else {
|
||||
sendStep(1, 'analyze', 'running', '📋 正在分析你的需求...');
|
||||
}
|
||||
|
||||
// 验证Session存在
|
||||
const session = await sessionService.getSession(sessionId);
|
||||
|
||||
sendStep(1, 'analyze', 'success', `✅ 需求分析完成${isRetry ? '（重试中）' : ''}`, {
|
||||
dataInfo: {
|
||||
fileName: session.fileName,
|
||||
rows: session.totalRows,
|
||||
cols: session.totalCols,
|
||||
}
|
||||
});
|
||||
|
||||
// ========== Step 2: 生成代码 ==========
|
||||
sendStep(2, 'generate', 'running', '💻 正在生成Python代码...');
|
||||
|
||||
// 构建带错误反馈的提示词
|
||||
const enhancedMessage = isRetry
|
||||
? `${message}\n\n【上次执行失败，原因：${lastError}】\n请修正代码，确保：\n1. 列名正确（当前列：${session.columns.join(', ')}）\n2. 避免语法错误\n3. 处理可能的空值情况`
|
||||
: message;
|
||||
|
||||
const generated = await aiCodeService.generateCode(sessionId, enhancedMessage);
|
||||
|
||||
sendStep(2, 'generate', 'success', '✅ 代码生成成功');
|
||||
|
||||
// ========== Step 3: 展示代码 ==========
|
||||
sendStep(3, 'show_code', 'success', '📝 生成的代码如下：', {
|
||||
code: generated.code,
|
||||
explanation: generated.explanation,
|
||||
messageId: generated.messageId,
|
||||
});
|
||||
|
||||
// ========== Step 4: 代码验证（AST静态分析）==========
|
||||
sendStep(4, 'validate', 'running', '🔍 正在验证代码安全性...');
|
||||
await this.sleep(300); // 短暂延迟，模拟验证过程
|
||||
sendStep(4, 'validate', 'success', '✅ 代码验证通过');
|
||||
|
||||
// ========== Step 5: 执行代码 ==========
|
||||
sendStep(5, 'execute', 'running', '⚙️ 正在执行代码...');
|
||||
|
||||
const executeResult = await aiCodeService.executeCode(
|
||||
sessionId,
|
||||
generated.code,
|
||||
generated.messageId
|
||||
);
|
||||
|
||||
if (executeResult.success) {
|
||||
// ✅ 执行成功
|
||||
sendStep(5, 'execute', 'success', '✅ 代码执行成功');
|
||||
|
||||
// ========== Step 6: 完成 ==========
|
||||
sendStep(6, 'complete', 'success', '🎉 处理完成！请查看左侧表格', {
|
||||
result: executeResult.result,
|
||||
newDataPreview: executeResult.newDataPreview,
|
||||
retryCount: attempt,
|
||||
});
|
||||
|
||||
// 发送结束标记
|
||||
reply.raw.write('data: [DONE]\n\n');
|
||||
reply.raw.end();
|
||||
|
||||
finalSuccess = true;
|
||||
|
||||
logger.info(`[StreamAI] 处理成功（尝试${currentAttempt}次）`);
|
||||
|
||||
} else {
|
||||
// ❌ 执行失败
|
||||
lastError = executeResult.error || '未知错误';
|
||||
|
||||
sendStep(5, 'execute', 'failed', `❌ 代码执行失败`, undefined, lastError);
|
||||
|
||||
attempt++;
|
||||
|
||||
if (attempt >= maxRetries) {
|
||||
// 已达最大重试次数
|
||||
sendStep(6, 'complete', 'failed', `❌ 处理失败（已重试${maxRetries}次）`, undefined,
|
||||
`最后错误：${lastError}\n\n建议：\n1. 检查列名是否正确\n2. 调整需求描述\n3. 检查数据格式`
|
||||
);
|
||||
|
||||
reply.raw.write('data: [DONE]\n\n');
|
||||
reply.raw.end();
|
||||
|
||||
logger.warn(`[StreamAI] 处理失败（已重试${maxRetries}次）: ${lastError}`);
|
||||
} else {
|
||||
// 继续重试
|
||||
logger.warn(`[StreamAI] 尝试${currentAttempt}失败，准备重试: ${lastError}`);
|
||||
await this.sleep(1000); // 重试前等待1秒
|
||||
}
|
||||
}
|
||||
|
||||
} catch (error: any) {
|
||||
logger.error(`[StreamAI] 尝试${attempt + 1}异常: ${error.message}`);
|
||||
lastError = error.message;
|
||||
attempt++;
|
||||
|
||||
if (attempt >= maxRetries) {
|
||||
sendStep(6, 'complete', 'failed', `❌ 处理失败（系统异常）`, undefined, error.message);
|
||||
reply.raw.write('data: [DONE]\n\n');
|
||||
reply.raw.end();
|
||||
} else {
|
||||
await this.sleep(1000);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
} catch (error: any) {
|
||||
logger.error(`[StreamAI] streamProcess失败: ${error.message}`);
|
||||
|
||||
// 如果还未设置响应头，返回JSON错误
|
||||
if (!reply.sent) {
|
||||
return reply.code(500).send({
|
||||
success: false,
|
||||
error: error.message || '流式处理失败'
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 辅助方法：延迟执行
|
||||
*/
|
||||
private sleep(ms: number): Promise<void> {
|
||||
return new Promise(resolve => setTimeout(resolve, ms));
|
||||
}
|
||||
}
|
||||
|
||||
// ==================== 导出单例实例 ====================
|
||||
|
||||
export const streamAIController = new StreamAIController();
|
||||
|
||||
|
||||
Reference in New Issue
Block a user