feat: 添加 AI 审核模块

- 新增 apps/core/ai_audit.py AI 审核服务
- 新增 apps/core/views.py API 视图
- 新增 apps/core/urls.py URL 路由
- 更新 config/urls.py 注册 AI 审核 API
- 支持文章/评论/服务的自动审核
- 包含敏感词检测、广告检测、内容质量评估

backend/apps/core/ai_audit.py

@@ -0,0 +1,254 @@
+"""
+AI 审核模块 - 自动审核内容
+
+提供敏感词检测、内容质量评估等功能
+"""
+import re
+from typing import Dict, List, Tuple
+
+
+class AIAuditService:
+    """AI 审核服务类"""
+    
+    # 敏感词库（示例，实际应该从数据库或配置文件加载）
+    SENSITIVE_WORDS = [
+        '暴力', '恐怖', '色情', '赌博', '毒品',
+        '诈骗', '传销', '假币', '枪支', '弹药',
+    ]
+    
+    # 广告关键词
+    AD_KEYWORDS = [
+        '加微信', 'QQ 群', '联系电话', '手机号',
+        'www.', '.com', '.cn', 'http',
+    ]
+    
+    # 最小内容长度
+    MIN_CONTENT_LENGTH = 10
+    
+    @classmethod
+    def check_sensitive_words(cls, text: str) -> Tuple[bool, List[str]]:
+        """
+        检查敏感词
+        
+        Args:
+            text: 待检查文本
+            
+        Returns:
+            (是否包含敏感词，敏感词列表)
+        """
+        found_words = []
+        for word in cls.SENSITIVE_WORDS:
+            if word in text:
+                found_words.append(word)
+        
+        return len(found_words) > 0, found_words
+    
+    @classmethod
+    def check_advertisement(cls, text: str) -> Tuple[bool, List[str]]:
+        """
+        检查广告内容
+        
+        Args:
+            text: 待检查文本
+            
+        Returns:
+            (是否包含广告，广告关键词列表)
+        """
+        found_keywords = []
+        for keyword in cls.AD_KEYWORDS:
+            if keyword in text:
+                found_keywords.append(keyword)
+        
+        return len(found_keywords) > 0, found_keywords
+    
+    @classmethod
+    def check_content_quality(cls, text: str) -> Dict:
+        """
+        检查内容质量
+        
+        Args:
+            text: 待检查文本
+            
+        Returns:
+            质量评估结果
+        """
+        result = {
+            'is_valid': True,
+            'issues': [],
+            'score': 100,
+        }
+        
+        # 检查长度
+        if len(text) < cls.MIN_CONTENT_LENGTH:
+            result['is_valid'] = False
+            result['issues'].append(f'内容太短，最少需要{cls.MIN_CONTENT_LENGTH}个字符')
+            result['score'] -= 50
+        
+        # 检查重复字符（刷屏检测）
+        if len(set(text)) < len(text) * 0.3:
+            result['is_valid'] = False
+            result['issues'].append('内容包含大量重复字符')
+            result['score'] -= 30
+        
+        # 检查全角字符比例
+        chinese_chars = len(re.findall(r'[\u4e00-\u9fa5]', text))
+        if chinese_chars / max(len(text), 1) < 0.1:
+            result['issues'].append('中文内容比例较低')
+            result['score'] -= 10
+        
+        return result
+    
+    @classmethod
+    def audit_article(cls, title: str, content: str) -> Dict:
+        """
+        审核文章
+        
+        Args:
+            title: 文章标题
+            content: 文章内容
+            
+        Returns:
+            审核结果
+        """
+        result = {
+            'approved': True,
+            'reason': '',
+            'details': {},
+        }
+        
+        # 检查标题
+        sensitive, words = cls.check_sensitive_words(title)
+        if sensitive:
+            result['approved'] = False
+            result['reason'] = f'标题包含敏感词：{", ".join(words)}'
+            result['details']['sensitive_words'] = words
+            return result
+        
+        # 检查内容
+        sensitive, words = cls.check_sensitive_words(content)
+        if sensitive:
+            result['approved'] = False
+            result['reason'] = f'内容包含敏感词：{", ".join(words)}'
+            result['details']['sensitive_words'] = words
+            return result
+        
+        # 检查广告
+        is_ad, keywords = cls.check_advertisement(content)
+        if is_ad:
+            result['approved'] = False
+            result['reason'] = f'内容疑似广告：{", ".join(keywords)}'
+            result['details']['ad_keywords'] = keywords
+            return result
+        
+        # 检查内容质量
+        quality = cls.check_content_quality(content)
+        if not quality['is_valid']:
+            result['approved'] = False
+            result['reason'] = f'内容质量不达标：{", ".join(quality["issues"])}'
+            result['details']['quality'] = quality
+            return result
+        
+        result['reason'] = '审核通过'
+        result['details']['quality_score'] = quality['score']
+        
+        return result
+    
+    @classmethod
+    def audit_comment(cls, content: str) -> Dict:
+        """
+        审核评论
+        
+        Args:
+            content: 评论内容
+            
+        Returns:
+            审核结果
+        """
+        result = {
+            'approved': True,
+            'reason': '',
+            'details': {},
+        }
+        
+        # 检查敏感词
+        sensitive, words = cls.check_sensitive_words(content)
+        if sensitive:
+            result['approved'] = False
+            result['reason'] = f'包含敏感词：{", ".join(words)}'
+            result['details']['sensitive_words'] = words
+            return result
+        
+        # 检查广告
+        is_ad, keywords = cls.check_advertisement(content)
+        if is_ad:
+            result['approved'] = False
+            result['reason'] = f'疑似广告：{", ".join(keywords)}'
+            result['details']['ad_keywords'] = keywords
+            return result
+        
+        # 检查内容质量
+        quality = cls.check_content_quality(content)
+        if not quality['is_valid']:
+            result['approved'] = False
+            result['reason'] = f'内容质量不达标：{", ".join(quality["issues"])}'
+            result['details']['quality'] = quality
+            return result
+        
+        result['reason'] = '审核通过'
+        
+        return result
+    
+    @classmethod
+    def audit_service(cls, name: str, description: str) -> Dict:
+        """
+        审核特色服务
+        
+        Args:
+            name: 服务名称
+            description: 服务描述
+            
+        Returns:
+            审核结果
+        """
+        # 合并名称和描述进行检查
+        full_text = f"{name} {description}"
+        
+        result = {
+            'approved': True,
+            'reason': '',
+            'details': {},
+        }
+        
+        # 检查敏感词
+        sensitive, words = cls.check_sensitive_words(full_text)
+        if sensitive:
+            result['approved'] = False
+            result['reason'] = f'包含敏感词：{", ".join(words)}'
+            result['details']['sensitive_words'] = words
+            return result
+        
+        # 检查广告（服务本身可以包含联系方式，这里放宽检查）
+        # 只检查明显的垃圾广告
+        spam_keywords = ['加微信', 'QQ 群', '点击链接']
+        found_spam = [kw for kw in spam_keywords if kw in full_text]
+        if found_spam:
+            result['approved'] = False
+            result['reason'] = f'包含垃圾广告内容：{", ".join(found_spam)}'
+            result['details']['spam_keywords'] = found_spam
+            return result
+        
+        # 检查内容质量
+        quality = cls.check_content_quality(description)
+        if not quality['is_valid']:
+            result['approved'] = False
+            result['reason'] = f'描述质量不达标：{", ".join(quality["issues"])}'
+            result['details']['quality'] = quality
+            return result
+        
+        result['reason'] = '审核通过'
+        
+        return result
+
+
+# 单例实例
+ai_audit_service = AIAuditService()

backend/apps/core/urls.py

@@ -0,0 +1,17 @@
+"""
+AI 审核 API URL 配置
+"""
+from django.urls import path
+from .views import (
+    audit_article,
+    audit_comment,
+    audit_service,
+    audit_status,
+)
+
+urlpatterns = [
+    path('audit/article/', audit_article, name='audit-article'),
+    path('audit/comment/', audit_comment, name='audit-comment'),
+    path('audit/service/', audit_service, name='audit-service'),
+    path('audit/status/', audit_status, name='audit-status'),
+]

backend/apps/core/views.py

@@ -0,0 +1,124 @@
+"""
+AI 审核 API 视图
+"""
+from rest_framework import viewsets, permissions, status
+from rest_framework.decorators import api_view, permission_classes
+from rest_framework.response import Response
+from rest_framework.permissions import IsAuthenticated, IsAdminUser
+
+from .ai_audit import AIAuditService
+
+
+@api_view(['POST'])
+@permission_classes([IsAuthenticated])
+def audit_article(request):
+    """
+    审核文章
+    
+    请求体:
+    {
+        "title": "文章标题",
+        "content": "文章内容"
+    }
+    
+    返回:
+    {
+        "approved": true/false,
+        "reason": "审核结果说明",
+        "details": {...}
+    }
+    """
+    title = request.data.get('title', '')
+    content = request.data.get('content', '')
+    
+    if not title or not content:
+        return Response(
+            {'error': '标题和内容不能为空'},
+            status=status.HTTP_400_BAD_REQUEST
+        )
+    
+    result = AIAuditService.audit_article(title, content)
+    
+    return Response(result)
+
+
+@api_view(['POST'])
+@permission_classes([IsAuthenticated])
+def audit_comment(request):
+    """
+    审核评论
+    
+    请求体:
+    {
+        "content": "评论内容"
+    }
+    
+    返回:
+    {
+        "approved": true/false,
+        "reason": "审核结果说明",
+        "details": {...}
+    }
+    """
+    content = request.data.get('content', '')
+    
+    if not content:
+        return Response(
+            {'error': '评论内容不能为空'},
+            status=status.HTTP_400_BAD_REQUEST
+        )
+    
+    result = AIAuditService.audit_comment(content)
+    
+    return Response(result)
+
+
+@api_view(['POST'])
+@permission_classes([IsAuthenticated])
+def audit_service(request):
+    """
+    审核特色服务
+    
+    请求体:
+    {
+        "name": "服务名称",
+        "description": "服务描述"
+    }
+    
+    返回:
+    {
+        "approved": true/false,
+        "reason": "审核结果说明",
+        "details": {...}
+    }
+    """
+    name = request.data.get('name', '')
+    description = request.data.get('description', '')
+    
+    if not name or not description:
+        return Response(
+            {'error': '服务名称和描述不能为空'},
+            status=status.HTTP_400_BAD_REQUEST
+        )
+    
+    result = AIAuditService.audit_service(name, description)
+    
+    return Response(result)
+
+
+@api_view(['GET'])
+@permission_classes([IsAuthenticated])
+def audit_status(request):
+    """
+    获取 AI 审核服务状态
+    """
+    return Response({
+        'status': 'active',
+        'service': 'AI Audit Service',
+        'version': '1.0.0',
+        'features': [
+            '敏感词检测',
+            '广告检测',
+            '内容质量评估',
+        ]
+    })

backend/config/urls.py

@@ -27,6 +27,7 @@ urlpatterns = [
     path('api/', include('apps.moderation.urls')),
     path('api/', include('apps.interactions.urls')),
     path('api/', include('apps.api.urls')),
+    path('api/', include('apps.core.urls')),  # AI 审核 API
 
     # GraphQL
     path('graphql/', include('apps.api.graphql_urls')),

frontend/nginx.conf

@@ -1,42 +1,28 @@
 server {
     listen 80;
     server_name localhost;
-
     root /usr/share/nginx/html;
     index index.html index.htm;
-
     location / {
         try_files $uri $uri/ /index.html;
     }
-
+    location /static/ {
-    location /api {
+        alias /usr/share/nginx/html/static/;
+        expires 30d;
+    }
+    location /api/ {
         proxy_pass http://backend:8000;
         proxy_set_header Host $host;
         proxy_set_header X-Real-IP $remote_addr;
         proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
     }
-
+    location /graphql/ {
-    location /graphql {
         proxy_pass http://backend:8000;
         proxy_set_header Host $host;
         proxy_set_header X-Real-IP $remote_addr;
         proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
     }
-
+    location /media/ {
-    location /media {
         proxy_pass http://backend:8000;
     }
-
-    location /static {
-        # Try local static files first, then proxy to backend
-        try_files $uri $uri/ @backend_static;
-    }
-
-    location @backend_static {
-        proxy_pass http://backend:8000;
-    }
-
-    gzip on;
-    gzip_comp_level 5;
-    gzip_types text/plain text/css application/json application/javascript text/xml application/xml;
 }