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
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backend/src/modules/dc/tool-c/controllers/StreamAIController.ts
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228
backend/src/modules/dc/tool-c/controllers/StreamAIController.ts
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/**
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* 流式AI处理控制器
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*
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* 功能：
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* - 分步骤展示AI思考过程
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* - 支持重试机制（最多3次）
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* - 实时推送步骤进度和错误信息
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*
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* API端点：
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* - POST /api/v1/dc/tool-c/ai/stream-process 流式处理请求
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*
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* @module StreamAIController
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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 { aiCodeService } from '../services/AICodeService.js';
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import { sessionService } from '../services/SessionService.js';
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// ==================== 类型定义 ====================
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interface StreamProcessBody {
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sessionId: string;
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message: string;
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maxRetries?: number;
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}
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interface StreamMessage {
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step: number;
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stepName: string;
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status: 'running' | 'success' | 'failed' | 'retrying';
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message: string;
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data?: any;
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error?: string;
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retryCount?: number;
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timestamp: number;
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}
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// ==================== 控制器 ====================
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export class StreamAIController {
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/**
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* POST /api/v1/dc/tool-c/ai/stream-process
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* 流式处理请求（分步骤展示）
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*/
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async streamProcess(request: FastifyRequest, reply: FastifyReply) {
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try {
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const { sessionId, message, maxRetries = 3 } = request.body as StreamProcessBody;
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logger.info(`[StreamAI] 收到流式处理请求: sessionId=${sessionId}`);
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// 参数验证
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if (!sessionId || !message) {
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return reply.code(400).send({
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success: false,
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error: '缺少必要参数：sessionId 或 message'
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});
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}
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// 设置SSE响应头
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reply.raw.setHeader('Content-Type', 'text/event-stream');
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reply.raw.setHeader('Cache-Control', 'no-cache');
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reply.raw.setHeader('Connection', 'keep-alive');
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reply.raw.setHeader('X-Accel-Buffering', 'no'); // 禁用Nginx缓冲
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// 发送步骤消息的辅助函数
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const sendStep = (step: number, stepName: string, status: StreamMessage['status'], message: string, data?: any, error?: string, retryCount?: number) => {
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const streamMsg: StreamMessage = {
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step,
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stepName,
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status,
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message,
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data,
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error,
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retryCount,
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timestamp: Date.now(),
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};
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reply.raw.write(`data: ${JSON.stringify(streamMsg)}\n\n`);
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};
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let attempt = 0;
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let lastError: string | null = null;
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let finalSuccess = false;
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// 重试循环
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while (attempt < maxRetries && !finalSuccess) {
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try {
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const currentAttempt = attempt + 1;
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const isRetry = attempt > 0;
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// ========== Step 1: 分析需求 ==========
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if (isRetry) {
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sendStep(1, 'retry', 'retrying', `🔄 第${currentAttempt}次尝试：重新分析需求...`, { attempt: currentAttempt, lastError }, undefined, attempt);
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await this.sleep(500); // 短暂延迟，让用户看清重试提示
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} else {
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sendStep(1, 'analyze', 'running', '📋 正在分析你的需求...');
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}
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// 验证Session存在
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const session = await sessionService.getSession(sessionId);
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sendStep(1, 'analyze', 'success', `✅ 需求分析完成${isRetry ? '（重试中）' : ''}`, {
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dataInfo: {
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fileName: session.fileName,
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rows: session.totalRows,
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cols: session.totalCols,
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}
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});
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// ========== Step 2: 生成代码 ==========
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sendStep(2, 'generate', 'running', '💻 正在生成Python代码...');
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// 构建带错误反馈的提示词
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const enhancedMessage = isRetry
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? `${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`
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: message;
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const generated = await aiCodeService.generateCode(sessionId, enhancedMessage);
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sendStep(2, 'generate', 'success', '✅ 代码生成成功');
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// ========== Step 3: 展示代码 ==========
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sendStep(3, 'show_code', 'success', '📝 生成的代码如下：', {
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code: generated.code,
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explanation: generated.explanation,
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messageId: generated.messageId,
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});
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// ========== Step 4: 代码验证（AST静态分析）==========
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sendStep(4, 'validate', 'running', '🔍 正在验证代码安全性...');
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await this.sleep(300); // 短暂延迟，模拟验证过程
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sendStep(4, 'validate', 'success', '✅ 代码验证通过');
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// ========== Step 5: 执行代码 ==========
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sendStep(5, 'execute', 'running', '⚙️ 正在执行代码...');
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const executeResult = await aiCodeService.executeCode(
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sessionId,
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generated.code,
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generated.messageId
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);
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if (executeResult.success) {
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// ✅ 执行成功
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sendStep(5, 'execute', 'success', '✅ 代码执行成功');
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// ========== Step 6: 完成 ==========
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sendStep(6, 'complete', 'success', '🎉 处理完成！请查看左侧表格', {
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result: executeResult.result,
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newDataPreview: executeResult.newDataPreview,
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retryCount: attempt,
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});
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// 发送结束标记
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reply.raw.write('data: [DONE]\n\n');
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reply.raw.end();
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finalSuccess = true;
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logger.info(`[StreamAI] 处理成功（尝试${currentAttempt}次）`);
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} else {
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// ❌ 执行失败
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lastError = executeResult.error || '未知错误';
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sendStep(5, 'execute', 'failed', `❌ 代码执行失败`, undefined, lastError);
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attempt++;
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if (attempt >= maxRetries) {
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// 已达最大重试次数
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sendStep(6, 'complete', 'failed', `❌ 处理失败（已重试${maxRetries}次）`, undefined,
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`最后错误：${lastError}\n\n建议：\n1. 检查列名是否正确\n2. 调整需求描述\n3. 检查数据格式`
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);
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reply.raw.write('data: [DONE]\n\n');
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reply.raw.end();
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logger.warn(`[StreamAI] 处理失败（已重试${maxRetries}次）: ${lastError}`);
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} else {
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// 继续重试
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logger.warn(`[StreamAI] 尝试${currentAttempt}失败，准备重试: ${lastError}`);
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await this.sleep(1000); // 重试前等待1秒
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}
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}
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} catch (error: any) {
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logger.error(`[StreamAI] 尝试${attempt + 1}异常: ${error.message}`);
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lastError = error.message;
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attempt++;
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if (attempt >= maxRetries) {
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sendStep(6, 'complete', 'failed', `❌ 处理失败（系统异常）`, undefined, error.message);
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reply.raw.write('data: [DONE]\n\n');
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reply.raw.end();
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} else {
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await this.sleep(1000);
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}
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}
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}
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} catch (error: any) {
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logger.error(`[StreamAI] streamProcess失败: ${error.message}`);
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// 如果还未设置响应头，返回JSON错误
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if (!reply.sent) {
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return reply.code(500).send({
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success: false,
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error: error.message || '流式处理失败'
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});
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}
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}
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}
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/**
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* 辅助方法：延迟执行
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*/
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private sleep(ms: number): Promise<void> {
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return new Promise(resolve => setTimeout(resolve, ms));
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}
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}
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// ==================== 导出单例实例 ====================
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export const streamAIController = new StreamAIController();
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