TypeScript 内容审核：社区管理的类型安全

            
 interface PostReport {
  postId: number;
  reporterId: number;
  reportReason: string;
 }

 function flagPost(report: PostReport): void {
  // Code to flag the post based on the report data
 }

 // Correct usage
 const validReport: PostReport = {
  postId: 12345,
  reporterId: 67890,
  reportReason: 'Hate speech'
 };
 flagPost(validReport);

 // Incorrect usage (example of what TypeScript would catch)
 const invalidReport = {
  postId: 'abc', // Error: Type 'string' is not assignable to type 'number'.
  reporterId: 67890,
  reportReason: 'Hate speech'
 };
 flagPost(invalidReport);

            

              
                Copy
              
            
          

            
 // Example interface for an NLP API response
 interface HateSpeechAnalysis {
  text: string;
  hateSpeechProbability: number;
  offensiveTerms: string[];
 }

 async function analyzeContent(content: string): Promise {
  // API call logic using the content to be checked against an NLP
  const response = await fetch('/api/nlp/hate-speech', { method: 'POST', body: JSON.stringify({ content }) });
  return await response.json() as HateSpeechAnalysis;
 }

 // Usage
 async function moderatePost(postContent: string) {
  const analysis = await analyzeContent(postContent);
  if (analysis.hateSpeechProbability > 0.7) {
   console.log('Post flagged for hate speech: ', analysis);
  }
 }

            

              
                Copy
              
            
          

            
 interface UserProfile {
  username: string;
  email: string;
  bio?: string; // Optional field
  location?: string;
 }

 function validateUserProfile(profile: UserProfile): boolean {
  if (!profile.username || profile.username.length < 3) {
   return false;
  }

  const emailRegex = /^[\w-\.]+@([\w-]+\.)+[\w-]{2,4}$/;
  if (!emailRegex.test(profile.email)) {
   return false;
  }

  return true;
 }

 // Example Usage
 const validProfile: UserProfile = {
  username: 'john_doe',
  email: 'john.doe@example.com',
  bio: 'Software Developer'
 };

 const isValid = validateUserProfile(validProfile);
 console.log('Profile is valid:', isValid);

 const invalidProfile: UserProfile = {
  username: 'jo',
  email: 'invalid-email'
 };
 const isInvalid = validateUserProfile(invalidProfile);
 console.log('Profile is invalid:', isInvalid);

            

              
                Copy
              
            
          

            
 const prohibitedWords: string[] = ['badword1', 'badword2', 'offensiveTerm'];

 function containsProhibitedWord(text: string): boolean {
  const lowerCaseText = text.toLowerCase();
  return prohibitedWords.some(word => lowerCaseText.includes(word));
 }

 // Example Usage
 const content1 = 'This is a test.';
 const content2 = 'This content contains badword1.';

 console.log(`'${content1}' contains prohibited words:`, containsProhibitedWord(content1)); // false
 console.log(`'${content2}' contains prohibited words:`, containsProhibitedWord(content2)); // true

            

              
                Copy
              
            
          

            
 enum ReportStatus {
  New = 'new',
  InProgress = 'in_progress',
  Resolved = 'resolved',
  Rejected = 'rejected'
 }

 interface ContentReport {
  reporterId: number;
  reportedContentId: number;
  reportReason: string;
  reportStatus: ReportStatus;
  moderatorId?: number; // Optional moderator ID
  resolutionNotes?: string; // Optional notes
 }

 // Example usage: Creating a new report
 const newReport: ContentReport = {
  reporterId: 123,
  reportedContentId: 456,
  reportReason: 'Hate speech',
  reportStatus: ReportStatus.New
 };

 console.log(newReport);

            

              
                Copy
              
            
          

            
 // Defining types based on the API response
 interface SentimentAnalysisResponse {
  sentiment: 'positive' | 'negative' | 'neutral';
  confidence: number;
  reason?: string;
 }

 async function analyzeSentiment(text: string): Promise {
  // Simulate an API call (replace with actual API call logic)
  const mockResponse: SentimentAnalysisResponse = {
   sentiment: 'positive',
   confidence: 0.8
  };

  // if (text.includes('bad')) {
  //  mockResponse.sentiment = 'negative';
  //  mockResponse.confidence = 0.9;
  //  mockResponse.reason = 'Offensive language detected';
  // }
  return mockResponse;
 }

 async function moderateBasedOnSentiment(content: string) {
  const analysis = await analyzeSentiment(content);
  if (analysis.sentiment === 'negative' && analysis.confidence > 0.7) {
   console.log('Content flagged for negative sentiment:', analysis);
  }
 }

 // Example use
 moderateBasedOnSentiment('This is a great day!');
 moderateBasedOnSentiment('This is bad and horrible!');

            

              
                Copy