178 lines
5.4 KiB
Python
178 lines
5.4 KiB
Python
import json
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import os
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import sys
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import requests
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from bs4 import BeautifulSoup
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# 添加项目路径
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from src.database.repository import NewsRepository
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from src.database.models import NewsModel
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from src.utils.logger import get_logger
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# 配置
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FILE_PATH = "example/02.json"
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ARTICLE_PREFIX_URL = 'https://www.xinhuanet.com'
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CATEGORY_ID = 7 # 政务分类
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SOURCE = "新华网"
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# 爬取控制参数
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START = 800 # 从第几条开始（0 表示从第一条开始，索引从 0 开始）
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COUNT = 100 # 爬取多少条（设置为 None 或 0 表示爬取所有）
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# 请求头
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HEADERS = {
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"User-Agent": (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/120.0.0.0 Safari/537.36"
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)
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}
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# 初始化日志
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logger = get_logger(__name__)
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def parse_article(href: str) -> str:
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"""
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解析文章详情页，提取正文内容
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Args:
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href: 文章URL
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Returns:
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文章正文内容
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"""
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try:
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resp = requests.get(href, headers=HEADERS, timeout=10)
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resp.raise_for_status()
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html = resp.text
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soup = BeautifulSoup(html, "lxml")
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# 提取正文容器
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content_node = soup.find(id="detailContent")
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if content_node:
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# 获取文本并进行清洗
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content = content_node.get_text(separator='\n', strip=True)
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return content
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else:
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logger.warning(f"未找到正文内容: {href}")
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return ""
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except Exception as e:
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logger.error(f"解析文章失败: {href} - {e}")
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return ""
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def main():
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"""主函数"""
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# 检查文件是否存在
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if not os.path.exists(FILE_PATH):
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logger.error(f"找不到文件: {FILE_PATH}")
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return
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# 初始化数据库仓库
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repository = NewsRepository()
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try:
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# 1. 读取并解析 JSON
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with open(FILE_PATH, 'r', encoding='utf-8') as f:
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data = json.loads(f.read())
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# 获取数据源
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datasource_list = data.get("datasource", [])
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# 计算爬取范围
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total_count = len(datasource_list)
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end_index = START + COUNT if COUNT and COUNT > 0 else total_count
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# 验证参数
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if START >= total_count:
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logger.error(f"起始索引 {START} 超出数据范围（总共 {total_count} 条）")
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return
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if end_index > total_count:
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end_index = total_count
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logger.warning(f"请求的爬取数量超出数据范围，将爬取到第 {total_count} 条")
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actual_count = end_index - START
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logger.info(f"数据范围: 第 {START} 条到第 {end_index - 1} 条（共 {actual_count} 条）")
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# 用于存储提取后的结果
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extracted_results = []
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# 2. 遍历与清洗提取（使用切片控制范围）
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for item in datasource_list[START:end_index]:
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# 只保留 MultiMedia 类型的有效新闻
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if item.get("contentType") == "MultiMedia":
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# 提取指定字段
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record = {
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"title": item.get("title", "").strip(),
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"href": ARTICLE_PREFIX_URL + item.get("publishUrl", "").strip(),
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"author": item.get("sourceText", "").strip(),
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"publish_time": item.get("publishTime", "").strip(),
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}
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extracted_results.append(record)
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logger.info(f"处理完成！共提取到 {len(extracted_results)} 条有效数据")
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# 3. 解析文章详情并保存到数据库
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news_list = []
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success_count = 0
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fail_count = 0
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for i, res in enumerate(extracted_results, start=START):
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logger.info(f"[{i+1}/{end_index}] 正在处理: {res['title']}")
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# 解析文章正文
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content = parse_article(res['href'])
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if not content:
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logger.warning(f"文章正文为空，跳过: {res['href']}")
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fail_count += 1
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continue
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# 创建新闻模型
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news = NewsModel(
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url=res['href'],
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title=res['title'],
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content=content,
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category_id=CATEGORY_ID,
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source=SOURCE,
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publish_time=res['publish_time'],
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author=res['author'],
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)
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news_list.append(news)
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success_count += 1
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# 4. 批量保存到数据库
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if news_list:
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inserted_count = repository.save_news(news_list)
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logger.info(f"成功保存 {inserted_count} 条新闻到数据库")
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else:
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logger.warning("没有有效数据需要保存")
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# 5. 打印统计信息
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print("\n" + "=" * 50)
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print("处理完成！统计信息：")
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print(f" 数据总条数: {total_count}")
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print(f" 爬取范围: 第 {START} 条到第 {end_index - 1} 条")
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print(f" 实际处理: {len(extracted_results)}")
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print(f" 成功解析: {success_count}")
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print(f" 解析失败: {fail_count}")
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print(f" 保存到数据库: {inserted_count if news_list else 0}")
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print("=" * 50)
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except json.JSONDecodeError:
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logger.error("JSON 格式错误，请检查文件内容")
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except Exception as e:
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logger.error(f"发生未知错误: {e}", exc_info=True)
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if __name__ == "__main__":
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main()
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