Spider System Performance & Stability Enhancement

spider/spiderData.py

@@ -11,6 +11,9 @@ from bs4 import BeautifulSoup
 from datetime import datetime
 from utils.logger import spider_logger as logging
 from utils.db_manager import DatabaseManager
+from cachetools import TTLCache, LRUCache
+from typing import List, Dict, Any
+import pandas as pd
 
 def spiderData():
     if not os.path.exists(navAddr):
@@ -28,17 +31,70 @@ class SpiderData:
         }
         self.base_url = 'https://s.weibo.com'
         self.db = DatabaseManager()
-    
-    def crawl_topic(self, topic, depth=3, interval=5, max_retries=3, timeout=30):
-        """
-        爬取指定话题的微博内容
         
-        :param topic: 要爬取的话题
+        # 初始化缓存
-        :param depth: 爬取深度（页数）
+        self.data_cache = TTLCache(maxsize=1000, ttl=3600)  # 1小时TTL缓存
-        :param interval: 请求间隔时间（秒）
+        self.html_cache = LRUCache(maxsize=100)  # LRU缓存最近的100个页面
-        :param max_retries: 最大重试次数
+        
-        :param timeout: 请求超时时间（秒）
+        # 批量插入缓冲区
-        """
+        self.insert_buffer = []
+        self.buffer_size = 50  # 每50条数据批量插入一次
+    
+    def _get_cached_page(self, url: str) -> str:
+        """获取缓存的页面内容"""
+        return self.html_cache.get(url)
+    
+    def _cache_page(self, url: str, content: str):
+        """缓存页面内容"""
+        self.html_cache[url] = content
+    
+    def _get_cached_data(self, key: str) -> Dict[str, Any]:
+        """获取缓存的数据"""
+        return self.data_cache.get(key)
+    
+    def _cache_data(self, key: str, data: Dict[str, Any]):
+        """缓存数据"""
+        self.data_cache[key] = data
+    
+    def _flush_buffer(self):
+        """将缓冲区数据批量插入数据库"""
+        if not self.insert_buffer:
+            return
+        
+        try:
+            connection = self.db.get_connection()
+            with connection.cursor() as cursor:
+                # 使用pandas进行高效的批量插入
+                df = pd.DataFrame(self.insert_buffer)
+                
+                # 构建批量插入SQL
+                columns = ', '.join(df.columns)
+                values = ', '.join(['%s'] * len(df.columns))
+                sql = f"""
+                INSERT INTO article ({columns})
+                VALUES ({values})
+                ON DUPLICATE KEY UPDATE
+                forward_count = VALUES(forward_count),
+                comment_count = VALUES(comment_count),
+                like_count = VALUES(like_count),
+                crawl_time = VALUES(crawl_time)
+                """
+                
+                # 执行批量插入
+                cursor.executemany(sql, df.values.tolist())
+                connection.commit()
+                
+                logging.info(f"成功批量插入 {len(self.insert_buffer)} 条数据")
+                self.insert_buffer.clear()
+                
+        except Exception as e:
+            logging.error(f"批量插入数据失败: {e}")
+            if connection:
+                connection.rollback()
+    
+    def crawl_topic(self, topic: str, depth: int = 3, interval: int = 5,
+                    max_retries: int = 3, timeout: int = 30):
+        """爬取指定话题的微博内容"""
         # 参数验证
         if not isinstance(depth, int) or depth < 1 or depth > 10:
             raise ValueError("爬取深度必须在1-10页之间")
@@ -56,9 +112,19 @@ class SpiderData:
             while retries < max_retries:
                 try:
                     url = f"{self.base_url}/weibo?q={topic}&page={page}"
+                    
+                    # 检查缓存
+                    cached_content = self._get_cached_page(url)
+                    if cached_content:
+                        self._parse_page(cached_content)
+                        logging.info(f"使用缓存数据: {topic} 第 {page} 页")
+                        break
+                    
                     response = requests.get(url, headers=self.headers, timeout=timeout)
                     
                     if response.status_code == 200:
+                        # 缓存页面内容
+                        self._cache_page(url, response.text)
                         self._parse_page(response.text)
                         logging.info(f"成功爬取话题 {topic} 第 {page} 页")
                         break
@@ -84,13 +150,12 @@ class SpiderData:
                 sleep_time = interval * (1 + random.random())
                 logging.info(f"等待 {sleep_time:.2f} 秒后继续...")
                 time.sleep(sleep_time)
-    
-    def _parse_page(self, html_content):
-        """
-        解析页面内容并保存数据
         
-        :param html_content: 页面HTML内容
+        # 最后刷新缓冲区
-        """
+        self._flush_buffer()
+    
+    def _parse_page(self, html_content: str):
+        """解析页面内容并保存数据"""
         try:
             soup = BeautifulSoup(html_content, 'html.parser')
             weibo_items = soup.find_all('div', class_='card-wrap')
@@ -124,8 +189,12 @@ class SpiderData:
                         'crawl_time': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
                     }
                     
-                    # 保存到数据库
+                    # 添加到插入缓冲区
-                    self._save_to_database(weibo_data)
+                    self.insert_buffer.append(weibo_data)
+                    
+                    # 如果缓冲区达到阈值，执行批量插入
+                    if len(self.insert_buffer) >= self.buffer_size:
+                        self._flush_buffer()
                     
                 except Exception as e:
                     logging.error(f"解析微博项时出错: {e}")
@@ -134,52 +203,12 @@ class SpiderData:
         except Exception as e:
             logging.error(f"解析页面时出错: {e}")
     
-    def _extract_number(self, text):
+    def _extract_number(self, text: str) -> int:
-        """
+        """从文本中提取数字"""
-        从文本中提取数字
-        
-        :param text: 包含数字的文本
-        :return: 提取的数字，如果没有找到则返回0
-        """
         try:
             return int(''.join(filter(str.isdigit, text)))
         except ValueError:
             return 0
-    
-    def _save_to_database(self, data):
-        """
-        将数据保存到数据库
-        
-        :param data: 要保存的数据字典
-        """
-        connection = None
-        try:
-            connection = self.db.get_connection()
-            
-            with connection.cursor() as cursor:
-                # 插入文章数据
-                sql = """
-                INSERT INTO article (content, user_name, publish_time, forward_count, 
-                                   comment_count, like_count, crawl_time)
-                VALUES (%s, %s, %s, %s, %s, %s, %s)
-                """
-                cursor.execute(sql, (
-                    data['content'],
-                    data['user_name'],
-                    data['publish_time'],
-                    data['forward_count'],
-                    data['comment_count'],
-                    data['like_count'],
-                    data['crawl_time']
-                ))
-                
-                connection.commit()
-                logging.info(f"成功保存微博数据: {data['content'][:30]}...")
-                
-        except Exception as e:
-            logging.error(f"保存数据时出错: {e}")
-            if connection:
-                connection.rollback()
 
 if __name__ == '__main__':
     spiderData()

views/spider_control.py

@@ -10,6 +10,10 @@ import logging
 from spider.spiderData import SpiderData
 from openai import OpenAI
 from anthropic import Anthropic
+import aiohttp
+from concurrent.futures import ThreadPoolExecutor
+from ratelimit import limits, sleep_and_retry
+from tenacity import retry, stop_after_attempt, wait_exponential
 
 # 创建蓝图
 spider_bp = Blueprint('spider', __name__)
@@ -24,137 +28,150 @@ websocket_connections = set()
 # 创建消息队列
 message_queue = Queue()
 
+# 创建线程池
+thread_pool = ThreadPoolExecutor(max_workers=3)
+
+# 创建异步事件循环
+loop = asyncio.new_event_loop()
+asyncio.set_event_loop(loop)
+
 # 默认配置
 DEFAULT_CONFIG = {
     'crawlDepth': 3,
     'interval': 5,
     'maxRetries': 3,
-    'timeout': 30
+    'timeout': 30,
+    'maxConcurrent': 2
 }
 
-def load_config():
+# 限流装饰器
-    """加载爬虫配置"""
+@sleep_and_retry
-    config_path = os.path.join(os.path.dirname(__file__), '../spider/config.json')
+@limits(calls=100, period=60)  # 每分钟最多100个请求
-    try:
+def rate_limited_request():
-        if os.path.exists(config_path):
+    pass
-            with open(config_path, 'r', encoding='utf-8') as f:
-                return json.load(f)
-    except Exception as e:
-        logger.error(f"加载配置文件失败: {e}")
-    return DEFAULT_CONFIG
 
-def save_config(config):
+class SpiderWorker:
-    """保存爬虫配置"""
+    def __init__(self, topics, parameters):
-    config_path = os.path.join(os.path.dirname(__file__), '../spider/config.json')
+        self.topics = topics
-    try:
+        self.parameters = parameters
-        with open(config_path, 'w', encoding='utf-8') as f:
+        self.total_topics = len(topics)
-            json.dump(config, f, ensure_ascii=False, indent=4)
+        self.completed_topics = 0
-        return True
+        self.spider = SpiderData()
-    except Exception as e:
+        self.message_buffer = []
-        logger.error(f"保存配置文件失败: {e}")
+        self.message_buffer_size = 10
-        return False
+        self.semaphore = asyncio.Semaphore(parameters.get('maxConcurrent', DEFAULT_CONFIG['maxConcurrent']))
+    
+    async def send_message(self, message):
+        """异步发送消息，使用缓冲区优化"""
+        self.message_buffer.append(message)
+        if len(self.message_buffer) >= self.message_buffer_size:
+            await self.flush_messages()
+    
+    async def flush_messages(self):
+        """刷新消息缓冲区"""
+        if not self.message_buffer:
+            return
+        
+        try:
+            await broadcast_message(self.message_buffer)
+            self.message_buffer.clear()
+        except Exception as e:
+            logger.error(f"发送消息失败: {e}")
+    
+    @retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
+    async def crawl_single_topic(self, topic):
+        """爬取单个话题"""
+        try:
+            rate_limited_request()
+            
+            await self.send_message({
+                'type': 'log',
+                'message': f'开始爬取话题: {topic}'
+            })
+            
+            async with self.semaphore:
+                await asyncio.get_event_loop().run_in_executor(
+                    thread_pool,
+                    self.spider.crawl_topic,
+                    topic,
+                    self.parameters['crawlDepth'],
+                    self.parameters['interval'],
+                    self.parameters['maxRetries'],
+                    self.parameters['timeout']
+                )
+            
+            self.completed_topics += 1
+            progress = int((self.completed_topics / self.total_topics) * 100)
+            
+            await self.send_message({
+                'type': 'progress',
+                'value': progress
+            })
+            
+            await self.send_message({
+                'type': 'log',
+                'message': f'话题 {topic} 爬取完成'
+            })
+            
+        except Exception as e:
+            logger.error(f"爬取话题 {topic} 失败: {e}")
+            await self.send_message({
+                'type': 'log',
+                'message': f'爬取话题 {topic} 时出错: {str(e)}'
+            })
+            raise
+    
+    async def run(self):
+        """运行爬虫任务"""
+        try:
+            tasks = [self.crawl_single_topic(topic) for topic in self.topics]
+            await asyncio.gather(*tasks)
+            await self.flush_messages()
+            
+            await self.send_message({
+                'type': 'log',
+                'message': '所有话题爬取完成'
+            })
+            
+        except Exception as e:
+            logger.error(f"爬虫任务执行出错: {e}")
+            await self.send_message({
+                'type': 'log',
+                'message': f'爬虫任务执行出错: {str(e)}'
+            })
+        finally:
+            await self.flush_messages()
 
-async def broadcast_message(message):
+async def broadcast_message(messages):
     """广播消息到所有WebSocket连接"""
     if not websocket_connections:
         return
     
     for websocket in websocket_connections.copy():
         try:
-            await websocket.send(json.dumps(message))
+            if isinstance(messages, list):
+                for message in messages:
+                    await websocket.send(json.dumps(message))
+            else:
+                await websocket.send(json.dumps(messages))
         except websockets.exceptions.ConnectionClosed:
             websocket_connections.remove(websocket)
         except Exception as e:
             logger.error(f"发送WebSocket消息失败: {e}")
             websocket_connections.remove(websocket)
 
-def spider_worker(topics, parameters):
-    """爬虫工作线程"""
-    total_topics = len(topics)
-    completed_topics = 0
-    
-    async def send_message(message):
-        """异步发送消息的包装函数"""
-        loop = asyncio.new_event_loop()
-        asyncio.set_event_loop(loop)
-        try:
-            await broadcast_message(message)
-        finally:
-            loop.close()
-    
-    try:
-        spider = SpiderData()
-        
-        for topic in topics:
-            try:
-                # 更新进度
-                progress = int((completed_topics / total_topics) * 100)
-                asyncio.run(send_message({
-                    'type': 'progress',
-                    'value': progress
-                }))
-                
-                # 发送开始爬取的日志
-                asyncio.run(send_message({
-                    'type': 'log',
-                    'message': f'开始爬取话题: {topic}'
-                }))
-                
-                # 执行爬取
-                spider.crawl_topic(
-                    topic=topic,
-                    depth=parameters['crawlDepth'],
-                    interval=parameters['interval'],
-                    max_retries=parameters['maxRetries'],
-                    timeout=parameters['timeout']
-                )
-                
-                completed_topics += 1
-                
-                # 发送完成爬取的日志
-                asyncio.run(send_message({
-                    'type': 'log',
-                    'message': f'话题 {topic} 爬取完成'
-                }))
-                
-            except Exception as e:
-                # 发送错误日志
-                asyncio.run(send_message({
-                    'type': 'log',
-                    'message': f'爬取话题 {topic} 时出错: {str(e)}'
-                }))
-        
-        # 更新最终进度
-        asyncio.run(send_message({
-            'type': 'progress',
-            'value': 100
-        }))
-        
-        # 发送完成消息
-        asyncio.run(send_message({
-            'type': 'log',
-            'message': '所有话题爬取完成'
-        }))
-        
-    except Exception as e:
-        # 发送错误日志
-        asyncio.run(send_message({
-            'type': 'log',
-            'message': f'爬虫任务执行出错: {str(e)}'
-        }))
-
 @spider_bp.route('/spider/control')
 def spider_control():
     """渲染爬虫控制页面"""
     return render_template('spider_control.html')
 
 @spider_bp.route('/api/spider/start', methods=['POST'])
-def start_spider():
+async def start_spider():
     """启动爬虫任务"""
     try:
         data = request.get_json()
         topics = data.get('topics', [])
-        parameters = data.get('parameters', DEFAULT_CONFIG)
+        parameters = {**DEFAULT_CONFIG, **data.get('parameters', {})}
         
         if not topics:
             return jsonify({
@@ -162,13 +179,11 @@ def start_spider():
                 'message': '请选择至少一个话题'
             })
         
-        # 启动爬虫线程
+        # 创建爬虫工作器
-        thread = threading.Thread(
+        worker = SpiderWorker(topics, parameters)
-            target=spider_worker,
+        
-            args=(topics, parameters),
+        # 在事件循环中运行爬虫任务
-            daemon=True
+        asyncio.create_task(worker.run())
-        )
-        thread.start()
         
         return jsonify({
             'success': True,