532 lines
23 KiB
Python
532 lines
23 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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DeepSentimentCrawling模块 - 平台爬虫管理器
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负责配置和调用MediaCrawler进行多平台爬取
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"""
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import os
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import sys
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import subprocess
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import tempfile
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from datetime import datetime
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from pathlib import Path
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from typing import List, Dict, Optional
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import json
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from loguru import logger
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# 添加项目根目录到路径
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project_root = Path(__file__).parent.parent
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sys.path.append(str(project_root))
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try:
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import config
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except ImportError:
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raise ImportError("无法导入config.py配置文件")
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class PlatformCrawler:
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"""平台爬虫管理器"""
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def __init__(self):
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"""初始化平台爬虫管理器"""
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self.mediacrawler_path = Path(__file__).parent / "MediaCrawler"
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self.supported_platforms = ['xhs', 'dy', 'ks', 'bili', 'wb', 'tieba', 'zhihu']
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self.crawl_stats = {}
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# 确保MediaCrawler目录存在
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if not self.mediacrawler_path.exists():
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raise FileNotFoundError(f"MediaCrawler目录不存在: {self.mediacrawler_path}")
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logger.info(f"初始化平台爬虫管理器，MediaCrawler路径: {self.mediacrawler_path}")
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def configure_mediacrawler_db(self):
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"""配置MediaCrawler使用我们的数据库（MySQL或PostgreSQL）"""
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try:
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# 判断数据库类型
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db_dialect = (config.settings.DB_DIALECT or "mysql").lower()
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is_postgresql = db_dialect in ("postgresql", "postgres")
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# 修改MediaCrawler的数据库配置
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db_config_path = self.mediacrawler_path / "config" / "db_config.py"
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# 读取原始配置
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with open(db_config_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# PostgreSQL配置值：如果使用PostgreSQL则使用MindSpider配置，否则使用默认值或环境变量
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pg_password = config.settings.DB_PASSWORD if is_postgresql else "bettafish"
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pg_user = config.settings.DB_USER if is_postgresql else "bettafish"
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pg_host = config.settings.DB_HOST if is_postgresql else "127.0.0.1"
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pg_port = config.settings.DB_PORT if is_postgresql else 5432
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pg_db_name = config.settings.DB_NAME if is_postgresql else "bettafish"
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# 替换数据库配置 - 使用MindSpider的数据库配置
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new_config = f'''# 声明：本代码仅供学习和研究目的使用。使用者应遵守以下原则：
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# 1. 不得用于任何商业用途。
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# 2. 使用时应遵守目标平台的使用条款和robots.txt规则。
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# 3. 不得进行大规模爬取或对平台造成运营干扰。
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# 4. 应合理控制请求频率，避免给目标平台带来不必要的负担。
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# 5. 不得用于任何非法或不当的用途。
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#
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# 详细许可条款请参阅项目根目录下的LICENSE文件。
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# 使用本代码即表示您同意遵守上述原则和LICENSE中的所有条款。
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import os
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# mysql config - 使用MindSpider的数据库配置
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MYSQL_DB_PWD = "{config.settings.DB_PASSWORD}"
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MYSQL_DB_USER = "{config.settings.DB_USER}"
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MYSQL_DB_HOST = "{config.settings.DB_HOST}"
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MYSQL_DB_PORT = {config.settings.DB_PORT}
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MYSQL_DB_NAME = "{config.settings.DB_NAME}"
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mysql_db_config = {{
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"user": MYSQL_DB_USER,
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"password": MYSQL_DB_PWD,
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"host": MYSQL_DB_HOST,
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"port": MYSQL_DB_PORT,
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"db_name": MYSQL_DB_NAME,
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}}
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# redis config
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REDIS_DB_HOST = "127.0.0.1" # your redis host
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REDIS_DB_PWD = os.getenv("REDIS_DB_PWD", "123456") # your redis password
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REDIS_DB_PORT = os.getenv("REDIS_DB_PORT", 6379) # your redis port
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REDIS_DB_NUM = os.getenv("REDIS_DB_NUM", 0) # your redis db num
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# cache type
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CACHE_TYPE_REDIS = "redis"
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CACHE_TYPE_MEMORY = "memory"
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# sqlite config
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SQLITE_DB_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "database", "sqlite_tables.db")
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sqlite_db_config = {{
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"db_path": SQLITE_DB_PATH
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}}
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# postgresql config - 使用MindSpider的数据库配置（如果DB_DIALECT是postgresql）或环境变量
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POSTGRESQL_DB_PWD = os.getenv("POSTGRESQL_DB_PWD", "{pg_password}")
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POSTGRESQL_DB_USER = os.getenv("POSTGRESQL_DB_USER", "{pg_user}")
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POSTGRESQL_DB_HOST = os.getenv("POSTGRESQL_DB_HOST", "{pg_host}")
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POSTGRESQL_DB_PORT = os.getenv("POSTGRESQL_DB_PORT", "{pg_port}")
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POSTGRESQL_DB_NAME = os.getenv("POSTGRESQL_DB_NAME", "{pg_db_name}")
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postgresql_db_config = {{
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"user": POSTGRESQL_DB_USER,
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"password": POSTGRESQL_DB_PWD,
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"host": POSTGRESQL_DB_HOST,
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"port": POSTGRESQL_DB_PORT,
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"db_name": POSTGRESQL_DB_NAME,
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}}
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'''
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# 写入新配置
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with open(db_config_path, 'w', encoding='utf-8') as f:
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f.write(new_config)
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db_type = "PostgreSQL" if is_postgresql else "MySQL"
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logger.info(f"已配置MediaCrawler使用MindSpider {db_type}数据库")
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return True
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except Exception as e:
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logger.exception(f"配置MediaCrawler数据库失败: {e}")
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return False
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def create_base_config(self, platform: str, keywords: List[str],
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crawler_type: str = "search", max_notes: int = 50) -> bool:
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"""
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创建MediaCrawler的基础配置
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Args:
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platform: 平台名称
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keywords: 关键词列表
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crawler_type: 爬取类型
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max_notes: 最大爬取数量
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Returns:
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是否配置成功
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"""
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try:
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# 判断数据库类型，确定 SAVE_DATA_OPTION
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db_dialect = (config.settings.DB_DIALECT or "mysql").lower()
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is_postgresql = db_dialect in ("postgresql", "postgres")
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save_data_option = "postgresql" if is_postgresql else "db"
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base_config_path = self.mediacrawler_path / "config" / "base_config.py"
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# 将关键词列表转换为逗号分隔的字符串
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keywords_str = ",".join(keywords)
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# 读取原始配置文件
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with open(base_config_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# 修改关键配置项
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lines = content.split('\n')
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new_lines = []
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for line in lines:
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if line.startswith('PLATFORM = '):
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new_lines.append(f'PLATFORM = "{platform}" # 平台，xhs | dy | ks | bili | wb | tieba | zhihu')
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elif line.startswith('KEYWORDS = '):
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new_lines.append(f'KEYWORDS = "{keywords_str}" # 关键词搜索配置，以英文逗号分隔')
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elif line.startswith('CRAWLER_TYPE = '):
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new_lines.append(f'CRAWLER_TYPE = "{crawler_type}" # 爬取类型，search(关键词搜索) | detail(帖子详情)| creator(创作者主页数据)')
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elif line.startswith('SAVE_DATA_OPTION = '):
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new_lines.append(f'SAVE_DATA_OPTION = "{save_data_option}" # csv or db or json or sqlite or postgresql')
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elif line.startswith('CRAWLER_MAX_NOTES_COUNT = '):
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new_lines.append(f'CRAWLER_MAX_NOTES_COUNT = {max_notes}')
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elif line.startswith('ENABLE_GET_COMMENTS = '):
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new_lines.append('ENABLE_GET_COMMENTS = True')
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elif line.startswith('CRAWLER_MAX_COMMENTS_COUNT_SINGLENOTES = '):
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new_lines.append('CRAWLER_MAX_COMMENTS_COUNT_SINGLENOTES = 20')
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elif line.startswith('HEADLESS = '):
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new_lines.append('HEADLESS = True') # 使用无头模式
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else:
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new_lines.append(line)
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# 写入新配置
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with open(base_config_path, 'w', encoding='utf-8') as f:
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f.write('\n'.join(new_lines))
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logger.info(f"已配置 {platform} 平台，爬取类型: {crawler_type}，关键词数量: {len(keywords)}，最大爬取数量: {max_notes}，保存数据方式: {save_data_option}")
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return True
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except Exception as e:
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logger.exception(f"创建基础配置失败: {e}")
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return False
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def run_crawler(self, platform: str, keywords: List[str],
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login_type: str = "qrcode", max_notes: int = 50) -> Dict:
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"""
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运行爬虫
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Args:
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platform: 平台名称
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keywords: 关键词列表
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login_type: 登录方式
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max_notes: 最大爬取数量
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Returns:
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爬取结果统计
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"""
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if platform not in self.supported_platforms:
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raise ValueError(f"不支持的平台: {platform}")
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if not keywords:
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raise ValueError("关键词列表不能为空")
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start_message = f"\n开始爬取平台: {platform}"
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start_message += f"\n关键词: {keywords[:5]}{'...' if len(keywords) > 5 else ''} (共{len(keywords)}个)"
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logger.info(start_message)
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start_time = datetime.now()
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try:
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# 配置数据库
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if not self.configure_mediacrawler_db():
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return {"success": False, "error": "数据库配置失败"}
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# 创建基础配置
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if not self.create_base_config(platform, keywords, "search", max_notes):
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return {"success": False, "error": "基础配置创建失败"}
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# 判断数据库类型，确定 save_data_option
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db_dialect = (config.settings.DB_DIALECT or "mysql").lower()
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is_postgresql = db_dialect in ("postgresql", "postgres")
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save_data_option = "postgresql" if is_postgresql else "db"
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# 构建命令
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cmd = [
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sys.executable, "main.py",
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"--platform", platform,
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"--lt", login_type,
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"--type", "search",
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"--save_data_option", save_data_option
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]
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logger.info(f"执行命令: {' '.join(cmd)}")
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# 切换到MediaCrawler目录并执行，捕获输出
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result = subprocess.run(
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cmd,
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cwd=self.mediacrawler_path,
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timeout=3600, # 60分钟超时
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capture_output=True,
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text=True,
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encoding='utf-8',
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errors='replace'
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)
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end_time = datetime.now()
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duration = (end_time - start_time).total_seconds()
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# 解析输出，提取实际保存的数据量
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output_lines = result.stdout.split('\n') if result.stdout else []
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error_lines = result.stderr.split('\n') if result.stderr else []
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# 合并所有输出行用于解析
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all_lines = output_lines + error_lines
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# 解析统计信息
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parsed_stats = self._parse_crawl_output(all_lines, error_lines)
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# 创建统计信息
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crawl_stats = {
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"platform": platform,
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"keywords_count": len(keywords),
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"duration_seconds": duration,
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"start_time": start_time.isoformat(),
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"end_time": end_time.isoformat(),
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"return_code": result.returncode,
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"success": result.returncode == 0,
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"notes_count": parsed_stats.get("notes_count", 0),
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"comments_count": parsed_stats.get("comments_count", 0),
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"errors_count": parsed_stats.get("errors_count", 0),
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"output_preview": '\n'.join(output_lines[-20:]) if output_lines else "", # 最后20行输出
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"error_preview": '\n'.join(error_lines[-20:]) if error_lines else "" # 最后20行错误
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}
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# 保存统计信息
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self.crawl_stats[platform] = crawl_stats
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if result.returncode == 0:
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logger.info(f"✅ {platform} 爬取完成，耗时: {duration:.1f}秒")
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logger.info(f" 保存内容: {crawl_stats['notes_count']} 条，评论: {crawl_stats['comments_count']} 条")
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if crawl_stats['notes_count'] == 0 and crawl_stats['comments_count'] == 0:
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logger.warning(f"⚠️ {platform} 爬取成功但未保存任何数据，请检查数据库连接和保存逻辑")
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# 输出部分日志用于调试
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if crawl_stats['error_preview']:
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logger.warning(f" 错误信息: {crawl_stats['error_preview'][:500]}")
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else:
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logger.error(f"❌ {platform} 爬取失败，返回码: {result.returncode}")
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if error_lines:
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logger.error(f" 错误信息: {crawl_stats['error_preview'][:500]}")
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return crawl_stats
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except subprocess.TimeoutExpired:
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logger.exception(f"❌ {platform} 爬取超时")
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return {"success": False, "error": "爬取超时", "platform": platform}
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except Exception as e:
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logger.exception(f"❌ {platform} 爬取异常: {e}")
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return {"success": False, "error": str(e), "platform": platform}
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def _parse_crawl_output(self, output_lines: List[str], error_lines: List[str]) -> Dict:
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"""解析爬取输出，提取统计信息"""
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import re
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stats = {
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"notes_count": 0,
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"comments_count": 0,
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"errors_count": 0,
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"login_required": False
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}
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# 合并所有行用于解析
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all_lines = output_lines + error_lines
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# 解析输出行，查找各种可能的数据保存信息
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for line in all_lines:
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line_lower = line.lower()
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# 查找保存的内容数量（多种可能的格式）
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# 例如："保存了 10 条笔记"、"成功保存 5 条内容"、"inserted 3 records"等
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if any(keyword in line_lower for keyword in ["条笔记", "条内容", "条视频", "条帖子", "条回答"]):
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try:
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# 提取数字，优先取第一个数字
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numbers = re.findall(r'\d+', line)
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if numbers:
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# 如果找到多个数字，取最大的（通常是总数）
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potential_count = max([int(n) for n in numbers])
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if potential_count > stats["notes_count"]:
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stats["notes_count"] = potential_count
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except:
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pass
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# 查找保存的评论数量
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if "条评论" in line_lower:
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try:
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numbers = re.findall(r'\d+', line)
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if numbers:
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potential_count = max([int(n) for n in numbers])
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if potential_count > stats["comments_count"]:
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stats["comments_count"] = potential_count
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except:
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pass
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# 查找数据库相关错误
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if any(keyword in line_lower for keyword in ["数据库", "database", "connection", "连接失败", "保存失败"]):
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if "error" in line_lower or "失败" in line_lower or "异常" in line_lower:
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stats["errors_count"] += 1
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# 查找登录相关
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if any(keyword in line_lower for keyword in ["登录", "扫码", "login", "需要登录"]):
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stats["login_required"] = True
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# 如果没有找到明确的保存数量，尝试从数据库操作日志中提取
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if stats["notes_count"] == 0 and stats["comments_count"] == 0:
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# 查找可能的数据库插入信息
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for line in all_lines:
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# 查找类似 "insert into" 或 "保存到" 的信息
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if "insert" in line_lower or "保存到" in line_lower:
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try:
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numbers = re.findall(r'\d+', line)
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if numbers:
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# 尝试提取可能的记录数
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pass # 这里可以进一步解析
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except:
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pass
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return stats
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def run_multi_platform_crawl_by_keywords(self, keywords: List[str], platforms: List[str],
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login_type: str = "qrcode", max_notes_per_keyword: int = 50) -> Dict:
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"""
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基于关键词的多平台爬取 - 每个关键词在所有平台上都进行爬取
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Args:
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keywords: 关键词列表
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platforms: 平台列表
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login_type: 登录方式
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max_notes_per_keyword: 每个关键词在每个平台的最大爬取数量
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Returns:
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总体爬取统计
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"""
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start_message = f"\n🚀 开始全平台关键词爬取"
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start_message += f"\n 关键词数量: {len(keywords)}"
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start_message += f"\n 平台数量: {len(platforms)}"
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start_message += f"\n 登录方式: {login_type}"
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start_message += f"\n 每个关键词在每个平台的最大爬取数量: {max_notes_per_keyword}"
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start_message += f"\n 总爬取任务: {len(keywords)} × {len(platforms)} = {len(keywords) * len(platforms)}"
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logger.info(start_message)
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total_stats = {
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"total_keywords": len(keywords),
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"total_platforms": len(platforms),
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"total_tasks": len(keywords) * len(platforms),
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"successful_tasks": 0,
|
||
"failed_tasks": 0,
|
||
"total_notes": 0,
|
||
"total_comments": 0,
|
||
"keyword_results": {},
|
||
"platform_summary": {}
|
||
}
|
||
|
||
# 初始化平台统计
|
||
for platform in platforms:
|
||
total_stats["platform_summary"][platform] = {
|
||
"successful_keywords": 0,
|
||
"failed_keywords": 0,
|
||
"total_notes": 0,
|
||
"total_comments": 0
|
||
}
|
||
|
||
# 对每个平台一次性爬取所有关键词
|
||
for platform in platforms:
|
||
logger.info(f"\n📝 在 {platform} 平台爬取所有关键词")
|
||
logger.info(f" 关键词: {', '.join(keywords[:5])}{'...' if len(keywords) > 5 else ''}")
|
||
|
||
try:
|
||
# 一次性传递所有关键词给平台
|
||
result = self.run_crawler(platform, keywords, login_type, max_notes_per_keyword)
|
||
|
||
if result.get("success"):
|
||
total_stats["successful_tasks"] += len(keywords)
|
||
total_stats["platform_summary"][platform]["successful_keywords"] = len(keywords)
|
||
|
||
notes_count = result.get("notes_count", 0)
|
||
comments_count = result.get("comments_count", 0)
|
||
|
||
total_stats["total_notes"] += notes_count
|
||
total_stats["total_comments"] += comments_count
|
||
total_stats["platform_summary"][platform]["total_notes"] = notes_count
|
||
total_stats["platform_summary"][platform]["total_comments"] = comments_count
|
||
|
||
# 为每个关键词记录结果
|
||
for keyword in keywords:
|
||
if keyword not in total_stats["keyword_results"]:
|
||
total_stats["keyword_results"][keyword] = {}
|
||
total_stats["keyword_results"][keyword][platform] = result
|
||
|
||
logger.info(f" ✅ 成功: {notes_count} 条内容, {comments_count} 条评论")
|
||
else:
|
||
total_stats["failed_tasks"] += len(keywords)
|
||
total_stats["platform_summary"][platform]["failed_keywords"] = len(keywords)
|
||
|
||
# 为每个关键词记录失败结果
|
||
for keyword in keywords:
|
||
if keyword not in total_stats["keyword_results"]:
|
||
total_stats["keyword_results"][keyword] = {}
|
||
total_stats["keyword_results"][keyword][platform] = result
|
||
|
||
logger.error(f" ❌ 失败: {result.get('error', '未知错误')}")
|
||
|
||
except Exception as e:
|
||
total_stats["failed_tasks"] += len(keywords)
|
||
total_stats["platform_summary"][platform]["failed_keywords"] = len(keywords)
|
||
error_result = {"success": False, "error": str(e)}
|
||
|
||
# 为每个关键词记录异常结果
|
||
for keyword in keywords:
|
||
if keyword not in total_stats["keyword_results"]:
|
||
total_stats["keyword_results"][keyword] = {}
|
||
total_stats["keyword_results"][keyword][platform] = error_result
|
||
|
||
logger.error(f" ❌ 异常: {e}")
|
||
|
||
# 打印详细统计
|
||
finish_message = f"\n📊 全平台关键词爬取完成!"
|
||
finish_message += f"\n 总任务: {total_stats['total_tasks']}"
|
||
finish_message += f"\n 成功: {total_stats['successful_tasks']}"
|
||
finish_message += f"\n 失败: {total_stats['failed_tasks']}"
|
||
finish_message += f"\n 成功率: {total_stats['successful_tasks']/total_stats['total_tasks']*100:.1f}%"
|
||
finish_message += f"\n 总内容: {total_stats['total_notes']} 条"
|
||
finish_message += f"\n 总评论: {total_stats['total_comments']} 条"
|
||
logger.info(finish_message)
|
||
|
||
platform_summary_message = f"\n� 各平台统计:"
|
||
for platform, stats in total_stats["platform_summary"].items():
|
||
success_rate = stats["successful_keywords"] / len(keywords) * 100 if keywords else 0
|
||
platform_summary_message += f"\n {platform}: {stats['successful_keywords']}/{len(keywords)} 关键词成功 ({success_rate:.1f}%), "
|
||
platform_summary_message += f"{stats['total_notes']} 条内容"
|
||
logger.info(platform_summary_message)
|
||
|
||
return total_stats
|
||
|
||
def get_crawl_statistics(self) -> Dict:
|
||
"""获取爬取统计信息"""
|
||
return {
|
||
"platforms_crawled": list(self.crawl_stats.keys()),
|
||
"total_platforms": len(self.crawl_stats),
|
||
"detailed_stats": self.crawl_stats
|
||
}
|
||
|
||
def save_crawl_log(self, log_path: str = None):
|
||
"""保存爬取日志"""
|
||
if not log_path:
|
||
log_path = f"crawl_log_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
|
||
|
||
try:
|
||
with open(log_path, 'w', encoding='utf-8') as f:
|
||
json.dump(self.crawl_stats, f, ensure_ascii=False, indent=2)
|
||
logger.info(f"爬取日志已保存到: {log_path}")
|
||
except Exception as e:
|
||
logger.exception(f"保存爬取日志失败: {e}")
|
||
|
||
if __name__ == "__main__":
|
||
# 测试平台爬虫管理器
|
||
crawler = PlatformCrawler()
|
||
|
||
# 测试配置
|
||
test_keywords = ["科技", "AI", "编程"]
|
||
result = crawler.run_crawler("xhs", test_keywords, max_notes=5)
|
||
|
||
logger.info(f"测试结果: {result}")
|
||
logger.info("平台爬虫管理器测试完成！")
|