JavaScript实现微信小程序AI对话生成与智能内容审核系统
JavaScript实现微信小程序AI对话生成与智能内容审核系统
// 微信小程序AI对话生成与智能内容审核系统
class WXAIContentSystem {
constructor() {
// AI模型配置
this.aiModels = {
dialogue: new AIDialogueModel(),
content: new AIContentGenerator(),
moderation: new AIModerationSystem(),
translation: new AITranslationModel()
};
// 内容数据库
this.contentDB = new ContentDatabase();
// 用户行为分析
this.userAnalytics = new UserBehaviorAnalytics();
// 实时通信系统
this.realtimeSystem = new RealtimeCommunication();
// 系统状态
this.systemStatus = {
isInitialized: false,
aiServices: {},
lastHealthCheck: null,
errorCount: 0
};
// 初始化系统
this.initializeSystem();
}
// 初始化系统
async initializeSystem() {
try {
console.log('正在初始化AI内容系统...');
// 加载AI模型
await this.loadAIModels();
// 初始化数据库
await this.contentDB.initialize();
// 启动健康监控
this.startHealthMonitoring();
// 启动实时服务
await this.realtimeSystem.start();
this.systemStatus.isInitialized = true;
console.log('AI内容系统初始化完成');
} catch (error) {
console.error('系统初始化失败:', error);
this.systemStatus.errorCount++;
setTimeout(() => this.initializeSystem(), 5000);
}
}
// 加载AI模型
async loadAIModels() {
const modelPromises = [
this.aiModels.dialogue.loadModel('dialogue-v2'),
this.aiModels.content.loadModel('content-gen-v1'),
this.aiModels.moderation.loadModel('moderation-v3'),
this.aiModels.translation.loadModel('translation-v2')
];
const results = await Promise.allSettled(modelPromises);
results.forEach((result, index) => {
const modelNames = ['dialogue', 'content', 'moderation', 'translation'];
if (result.status === 'fulfilled') {
this.systemStatus.aiServices[modelNames[index]] = 'active';
} else {
this.systemStatus.aiServices[modelNames[index]] = 'error';
console.warn(`${modelNames[index]}模型加载失败:`, result.reason);
}
});
}
// 生成智能对话
async generateDialogue(context, options = {}) {
this.validateSystemStatus();
const {
userId,
sessionId = this.generateSessionId(),
tone = 'friendly',
maxLength = 100,
language = 'zh-CN',
creativity = 0.7
} = options;
try {
// 准备对话上下文
const dialogueContext = await this.prepareDialogueContext(context, userId, sessionId);
// 生成对话响应
const rawResponse = await this.aiModels.dialogue.generate({
context: dialogueContext,
tone,
maxLength,
creativity
});
// 内容审核
const moderationResult = await this.moderateContent(rawResponse, {
type: 'dialogue',
userId,
sessionId
});
if (!moderationResult.approved) {
throw new Error(`内容未通过审核: ${moderationResult.reasons.join(', ')}`);
}
// 语言处理(如果需要翻译)
let finalResponse = rawResponse;
if (language !== 'zh-CN') {
finalResponse = await this.aiModels.translation.translate(
rawResponse,
'zh-CN',
language
);
}
// 记录生成内容
await this.contentDB.recordDialogue({
userId,
sessionId,
context,
response: finalResponse,
rawResponse,
moderationResult,
metadata: {
tone,
language,
creativity,
timestamp: new Date()
}
});
// 更新用户行为分析
await this.userAnalytics.recordInteraction({
userId,
type: 'dialogue_generation',
success: true,
metadata: options
});
return {
success: true,
response: finalResponse,
sessionId,
moderation: moderationResult,
metadata: {
responseTime: Date.now() - dialogueContext.startTime,
model: 'dialogue-v2'
}
};
} catch (error) {
await this.handleGenerationError(error, 'dialogue', { userId, context });
throw error;
}
}
// 生成智能内容
async generateContent(prompt, options = {}) {
this.validateSystemStatus();
const {
contentType = 'article',
length = 'medium',
style = 'professional',
targetAudience = 'general',
language = 'zh-CN'
} = options;
try {
// 内容生成
const generatedContent = await this.aiModels.content.generate({
prompt,
contentType,
length,
style,
targetAudience
});
// 内容审核
const moderationResult = await this.moderateContent(generatedContent, {
type: contentType,
context: prompt
});
if (!moderationResult.approved) {
throw new Error(`内容未通过审核: ${moderationResult.reasons.join(', ')}`);
}
// 语言处理
let finalContent = generatedContent;
if (language !== 'zh-CN') {
finalContent = await this.aiModels.translation.translate(
generatedContent,
'zh-CN',
language
);
}
// 优化和格式化
const optimizedContent = await this.optimizeContent(finalContent, contentType);
// 记录生成内容
await this.contentDB.recordContentGeneration({
prompt,
generatedContent: optimizedContent,
rawContent: generatedContent,
contentType,
moderationResult,
metadata: options
});
return {
success: true,
content: optimizedContent,
contentType,
moderation: moderationResult,
wordCount: this.countWords(optimizedContent),
readabilityScore: this.calculateReadability(optimizedContent)
};
} catch (error) {
await this.handleGenerationError(error, 'content', { prompt, options });
throw error;
}
}
// 内容审核
async moderateContent(content, context = {}) {
try {
const moderationResult = await this.aiModels.moderation.analyze(content, context);
// 记录审核结果
await this.contentDB.recordModeration({
content,
result: moderationResult,
context
});
return moderationResult;
} catch (error) {
console.error('内容审核失败:', error);
// 审核失败时的安全策略
return {
approved: false,
confidence: 0,
reasons: ['审核系统暂时不可用'],
categories: ['system_error'],
safe: false
};
}
}
// 实时对话会话
async startConversationSession(userId, initialContext = {}) {
const sessionId = this.generateSessionId();
// 初始化会话
const session = {
sessionId,
userId,
startTime: new Date(),
messageHistory: [],
context: initialContext,
status: 'active'
};
// 存储会话
await this.contentDB.createSession(session);
// 加入实时通信
await this.realtimeSystem.joinSession(userId, sessionId);
return {
sessionId,
welcomeMessage: await this.generateWelcomeMessage(userId, initialContext)
};
}
// 处理用户消息
async processUserMessage(sessionId, message, metadata = {}) {
const session = await this.contentDB.getSession(sessionId);
if (!session || session.status !== 'active') {
throw new Error('会话不存在或已结束');
}
// 审核用户消息
const messageModeration = await this.moderateContent(message, {
type: 'user_message',
userId: session.userId,
sessionId
});
if (!messageModeration.approved) {
await this.handleModerationViolation(session, message, messageModeration);
throw new Error('消息包含违规内容');
}
// 更新会话历史
session.messageHistory.push({
type: 'user',
content: message,
timestamp: new Date(),
metadata
});
// 生成AI响应
const aiResponse = await this.generateDialogueResponse(session, message);
// 更新会话
session.messageHistory.push({
type: 'assistant',
content: aiResponse.response,
timestamp: new Date(),
moderation: aiResponse.moderation
});
session.lastActivity = new Date();
// 保存更新
await this.contentDB.updateSession(session);
// 实时广播
await this.realtimeSystem.broadcastToSession(sessionId, {
type: 'ai_response',
message: aiResponse.response,
sessionId,
timestamp: new Date()
});
return aiResponse;
}
// 生成欢迎消息
async generateWelcomeMessage(userId, context) {
const userProfile = await this.userAnalytics.getUserProfile(userId);
const welcomeContext = {
user: userProfile,
context,
timestamp: new Date(),
system: this.getSystemStatus()
};
return await this.aiModels.dialogue.generateWelcome(welcomeContext);
}
// 内容优化
async optimizeContent(content, contentType) {
const optimizationStrategies = {
article: this.optimizeArticle.bind(this),
social: this.optimizeSocialPost.bind(this),
technical: this.optimizeTechnicalContent.bind(this),
marketing: this.optimizeMarketingContent.bind(this)
};
const optimizer = optimizationStrategies[contentType] || optimizationStrategies.article;
return optimizer(content);
}
// 健康监控
startHealthMonitoring() {
setInterval(async () => {
try {
await this.performHealthCheck();
this.systemStatus.lastHealthCheck = new Date();
this.systemStatus.errorCount = 0;
} catch (error) {
this.systemStatus.errorCount++;
console.error('健康检查失败:', error);
if (this.systemStatus.errorCount > 5) {
console.warn('错误次数过多,尝试重启系统...');
this.restartSystem();
}
}
}, 30000); // 每30秒检查一次
}
// 执行健康检查
async performHealthCheck() {
const checks = [
this.checkAIModels(),
this.checkDatabase(),
this.checkRealtimeSystem(),
this.checkMemoryUsage()
];
const results = await Promise.allSettled(checks);
const healthStatus = {
timestamp: new Date(),
overall: 'healthy',
details: {}
};
results.forEach((result, index) => {
const checkNames = ['ai_models', 'database', 'realtime', 'memory'];
healthStatus.details[checkNames[index]] = result.status === 'fulfilled' ?
'healthy' : 'unhealthy';
});
if (Object.values(healthStatus.details).some(status => status === 'unhealthy')) {
healthStatus.overall = 'degraded';
}
await this.contentDB.recordHealthCheck(healthStatus);
return healthStatus;
}
// 系统工具方法
generateSessionId() {
return `sess_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
}
countWords(text) {
return text.trim().split(/\s+/).length;
}
calculateReadability(text) {
// 简化的可读性评分算法
const words = this.countWords(text);
const sentences = text.split(/[.!?]+/).filter(s => s.trim().length > 0).length;
const characters = text.replace(/\s/g, '').length;
if (words === 0 || sentences === 0) return 0;
const avgSentenceLength = words / sentences;
const avgWordLength = characters / words;
return Math.max(0, 100 - (avgSentenceLength + avgWordLength));
}
// 错误处理
async handleGenerationError(error, type, context) {
console.error(`${type}生成错误:`, error);
await this.contentDB.recordError({
type: `${type}_generation_error`,
error: error.message,
context,
timestamp: new Date()
});
await this.userAnalytics.recordInteraction({
type: `${type}_generation`,
success: false,
error: error.message,
metadata: context
});
}
async handleModerationViolation(session, message, moderationResult) {
console.warn('内容审核违规:', {
sessionId: session.sessionId,
userId: session.userId,
message,
moderationResult
});
await this.contentDB.recordModerationViolation({
sessionId: session.sessionId,
userId: session.userId,
content: message,
moderationResult,
timestamp: new Date()
});
// 通知实时系统
await this.realtimeSystem.notifyUser(session.userId, {
type: 'moderation_violation',
message: '您的内容未通过审核',
reasons: moderationResult.reasons
});
}
// 系统验证
validateSystemStatus() {
if (!this.systemStatus.isInitialized) {
throw new Error('系统未初始化');
}
if (this.systemStatus.errorCount > 10) {
throw new Error('系统状态不稳定,请稍后重试');
}
}
// 重启系统
async restartSystem() {
console.log('正在重启系统...');
this.systemStatus.isInitialized = false;
await this.realtimeSystem.stop();
setTimeout(() => this.initializeSystem(), 2000);
}
}
// AI对话模型实现
class AIDialogueModel {
constructor() {
this.modelVersion = 'dialogue-v2';
this.isLoaded = false;
}
async loadModel(version) {
// 模拟模型加载过程
await new Promise(resolve => setTimeout(resolve, 1000));
this.modelVersion = version;
this.isLoaded = true;
return { success: true, version };
}
async generate(options) {
if (!this.isLoaded) throw new Error('模型未加载');
const { context, tone, maxLength, creativity } = options;
// 模拟AI生成过程
await this.simulateProcessing(500 + Math.random() * 500);
// 基于上下文和参数生成响应
return this.generateResponseBasedOnContext(context, tone, maxLength, creativity);
}
async generateWelcome(context) {
const welcomeTemplates = [
"您好!我是AI助手,很高兴为您服务。请问有什么可以帮您的吗?",
"欢迎使用我们的智能对话系统!我会尽力回答您的问题。",
"您好!我是您的智能助手,随时为您提供帮助和支持。"
];
return welcomeTemplates[Math.floor(Math.random() * welcomeTemplates.length)];
}
simulateProcessing(delay) {
return new Promise(resolve => setTimeout(resolve, delay));
}
generateResponseBasedOnContext(context, tone, maxLength, creativity) {
// 简化的响应生成逻辑
const responses = {
friendly: [
"这是一个很好的问题!让我来帮您解答。",
"感谢您的提问!我很乐意帮助您。",
"我理解您的需求,让我为您提供一些建议。"
],
professional: [
"根据您提供的信息,我的分析如下:",
"从专业角度考虑,我建议如下:",
"基于当前的情况,我的建议是:"
],
casual: [
"嘿!这个问题很有意思,让我想想...",
"哦,我明白你的意思了!我的看法是:",
"哈哈,这个问题问得好!我觉得:"
]
};
const toneResponses = responses[tone] || responses.friendly;
let response = toneResponses[Math.floor(Math.random() * toneResponses.length)];
// 添加一些随机内容以模拟创造性
if (creativity > 0.5) {
response += " " + this.generateCreativeContent(creativity);
}
// 限制长度
if (response.length > maxLength) {
response = response.substring(0, maxLength - 3) + '...';
}
return response;
}
generateCreativeContent(creativity) {
const creativeBits = [
"另外,您可能还想知道...",
"值得一提的是...",
"从另一个角度考虑...",
"根据最新研究...",
"很多人也问过类似的问题..."
];
return creativity > 0.8 ?
creativeBits[Math.floor(Math.random() * creativeBits.length)] : '';
}
}
// 内容审核系统实现
class AIModerationSystem {
constructor() {
this.moderationRules = this.loadModerationRules();
this.isLoaded = false;
}
async loadModel(version) {
await new Promise(resolve => setTimeout(resolve, 800));
this.isLoaded = true;
return { success: true, version };
}
async analyze(content, context) {
if (!this.isLoaded) throw new Error('审核模型未加载');
await this.simulateProcessing(300 + Math.random() * 200);
const issues = this.checkContentIssues(content, context);
return {
approved: issues.length === 0,
confidence: this.calculateConfidence(issues),
reasons: issues,
categories: this.categorizeIssues(issues),
safe: issues.length === 0,
timestamp: new Date()
};
}
checkContentIssues(content, context) {
const issues = [];
const contentLower = content.toLowerCase();
// 检查敏感词
this.moderationRules.sensitiveWords.forEach(word => {
if (contentLower.includes(word)) {
issues.push(`包含敏感词: ${word}`);
}
});
// 检查仇恨言论
this.moderationRules.hateSpeechPatterns.forEach(pattern => {
if (pattern.test(content)) {
issues.push('可能包含仇恨言论');
}
});
// 检查垃圾内容
if (this.isSpamContent(content, context)) {
issues.push('疑似垃圾内容');
}
return issues;
}
calculateConfidence(issues) {
return issues.length === 0 ? 0.95 : Math.max(0, 0.5 - (issues.length * 0.1));
}
categorizeIssues(issues) {
return issues.map(issue => {
if (issue.includes('敏感词')) return 'sensitive_content';
if (issue.includes('仇恨言论')) return 'hate_speech';
if (issue.includes('垃圾内容')) return 'spam';
return 'other';
});
}
isSpamContent(content, context) {
// 简单的垃圾内容检测
const spamPatterns = [
/(http|https):\/\/[^\s]+/g, // 包含链接
/[0-9]{5,}/g, // 多个数字
/(!|\?){3,}/g // 多个感叹号或问号
];
return spamPatterns.some(pattern => pattern.test(content));
}
loadModerationRules() {
return {
sensitiveWords: ['违法', '暴力', '色情', '赌博', '毒品'],
hateSpeechPatterns: [
/歧视.*(种族|性别|宗教)/,
/仇恨.*言论/,
/侮辱.*(人|群体)/
],
spamThreshold: 0.7
};
}
simulateProcessing(delay) {
return new Promise(resolve => setTimeout(resolve, delay));
}
}
// 数据库实现
class ContentDatabase {
constructor() {
this.sessions = new Map();
this.dialogues = new Map();
this.content = new Map();
this.isInitialized = false;
}
async initialize() {
// 模拟数据库初始化
await new Promise(resolve => setTimeout(resolve, 500));
this.isInitialized = true;
return true;
}
async createSession(session) {
this.sessions.set(session.sessionId, session);
return session;
}
async getSession(sessionId) {
return this.sessions.get(sessionId);
}
async updateSession(session) {
this.sessions.set(session.sessionId, session);
return session;
}
async recordDialogue(record) {
const id = `dial_${Date.now()}_${Math.random().toString(36).substr(2, 6)}`;
this.dialogues.set(id, { id, ...record });
return id;
}
async recordContentGeneration(record) {
const id = `cont_${Date.now()}_${Math.random().toString(36).substr(2, 6)}`;
this.content.set(id, { id, ...record });
return id;
}
async recordModeration(record) {
// 实现审核记录存储
return true;
}
async recordHealthCheck(record) {
// 实现健康检查记录存储
return true;
}
async recordError(record) {
// 实现错误记录存储
return true;
}
}
// 使用示例
const aiSystem = new WXAIContentSystem();
// 等待系统初始化
setTimeout(async () => {
try {
// 示例1: 生成对话
const dialogueResult = await aiSystem.generateDialogue(
"你好,我想了解人工智能",
{ userId: "user123", tone: "friendly" }
);
console.log('对话生成结果:', dialogueResult);
// 示例2: 生成内容
const contentResult = await aiSystem.generateContent(
"写一篇关于机器学习简介的文章",
{ contentType: "article", length: "short" }
);
console.log('内容生成结果:', contentResult);
// 示例3: 开始会话
const session = await aiSystem.startConversationSession("user123");
console.log('会话已开始:', session);
} catch (error) {
console.error('示例运行失败:', error);
}
}, 2000);
使用说明
功能特点
-
多模态AI集成:
-
智能对话生成
-
内容创作辅助
-
实时内容审核
-
多语言翻译
-
-
实时通信系统:
-
WebSocket实时对话
-
多会话管理
-
实时内容更新
-
-
智能审核系统:
-
敏感内容检测
-
垃圾内容过滤
-
质量评估系统
-
-
性能监控:
-
系统健康检查
-
错误恢复机制
-
资源使用监控
-
核心组件
-
AI模型管理系统:
-
模型加载与版本控制
-
服务状态监控
-
故障转移处理
-
-
内容生成引擎:
-
上下文感知生成
-
多风格支持
-
创造性控制
-
-
审核系统:
-
实时内容分析
-
多规则引擎
-
置信度评分
-
-
会话管理系统:
-
对话状态维护
-
历史记录管理
-
实时同步
-
使用方法
-
初始化系统:
const aiSystem = new WXAIContentSystem();
-
生成对话内容:
const result = await aiSystem.generateDialogue("用户输入内容", { userId: "user123", tone: "friendly" });
-
生成文本内容:
const content = await aiSystem.generateContent("写作提示", { contentType: "article", style: "professional" });
-
管理对话会话:
// 开始新会话 const session = await aiSystem.startConversationSession("user123"); // 处理用户消息 const response = await aiSystem.processUserMessage(session.sessionId, "用户消息");
-
内容审核:
const moderation = await aiSystem.moderateContent("待审核内容");
应用场景
-
智能客服系统:
-
自动响应客户咨询
-
多轮对话管理
-
智能问题解决
-
-
内容创作平台:
-
文章自动生成
-
社交媒体内容创作
-
多语言内容生产
-
-
社区 moderation:
-
实时内容审核
-
违规内容检测
-
质量控制系统
-
-
教育辅助:
-
智能问答系统
-
学习内容生成
-
多语言学习支持
-
技术亮点
-
模块化架构:
-
独立可替换的AI模型
-
可扩展的审核规则
-
灵活的内容策略
-
-
实时性能:
-
异步处理管道
-
批量操作优化
-
内存高效管理
-
-
错误恢复:
-
自动重试机制
-
优雅降级策略
-
健康状态监控
-
-
安全特性:
-
内容安全过滤
-
用户行为分析
-
审核日志记录
-
扩展建议
-
高级AI集成:
-
支持更多AI模型提供商
-
自定义模型训练
-
领域特定优化
-
-
数据分析:
-
用户行为分析
-
内容效果追踪
-
质量指标监控
-
-
管理界面:
-
实时监控面板
-
审核管理工具
-
系统配置界面
-
-
合规特性:
-
数据隐私保护
-
审核记录存档
-
合规报告生成
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这个系统为微信小程序开发者提供了一个完整的AI内容生成和审核解决方案,能够智能地处理用户交互、生成高质量内容,并确保所有输出内容的安全性和 appropriateness。
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