89 lines
2.8 KiB
Python
89 lines
2.8 KiB
Python
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# -*- coding: utf-8 -*-
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"""
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爬取浙江公共资源交易中心，选择三条进行测试
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"""
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import logging
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import sys
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import os
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import random
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# 添加当前目录到模块搜索路径
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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# 导入配置和处理器
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from config import ZHEJIANG_CONFIG, SPIDER_CONFIG, DATA_DIR
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from spiders import ZhejiangSpider
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from processors import ProcessingPipeline
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# 配置日志
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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logger = logging.getLogger(__name__)
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def main():
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"""主函数"""
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logger.info("开始爬取浙江公共资源交易中心")
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# 1. 爬取数据
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logger.info("1. 爬取数据:")
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spider = ZhejiangSpider(ZHEJIANG_CONFIG, SPIDER_CONFIG, DATA_DIR)
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# 爬取最新数据，限制为10条
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spider.crawl(
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max_pages=2, # 爬取2页
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category="工程建设",
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notice_type="招标文件公示"
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)
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# 保存到CSV
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spider.save_to_csv()
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# 获取爬取结果
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results = spider.results
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logger.info(f"爬取完成，共获取 {len(results)} 条数据")
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if len(results) == 0:
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logger.error("爬取失败，无数据")
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return
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# 2. 随机选择3条数据
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logger.info("\n2. 选择测试数据:")
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if len(results) >= 3:
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selected_results = random.sample(results, 3)
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else:
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selected_results = results
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logger.info(f"随机选择了 {len(selected_results)} 条数据进行测试")
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# 3. 处理数据
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logger.info("\n3. 处理数据:")
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pipeline = ProcessingPipeline()
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processed = pipeline.process_results(
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selected_results,
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site="zhejiang",
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notice_type="招标文件公示",
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upload=False
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)
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# 4. 展示结果
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logger.info("\n4. 测试结果:")
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for i, record in enumerate(processed, 1):
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logger.info(f"\n{'-'*60}")
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logger.info(f"测试 {i}")
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logger.info(f"{'-'*60}")
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logger.info(f"项目名称: {record.get('项目名称', '文档未提及')}")
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logger.info(f"项目批准文号: {record.get('项目批准文号', '文档未提及')}")
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logger.info(f"批准文号: {record.get('批准文号', '文档未提及')}")
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logger.info(f"类型: {record.get('类型', '文档未提及')}")
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logger.info(f"地区: {record.get('地区', '文档未提及')}")
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logger.info(f"最高投标限价: {record.get('最高投标限价', '文档未提及')}")
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logger.info(f"最高限价: {record.get('最高限价', '文档未提及')}")
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logger.info(f"评标办法: {record.get('评标办法', '文档未提及')}")
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logger.info(f"链接: {record.get('招标文件链接', '无')}")
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if __name__ == "__main__":
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main()
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