349 lines
12 KiB
Python
349 lines
12 KiB
Python
# -*- coding: utf-8 -*-
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"""
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浙江省公共资源交易中心爬虫 —— 基于 API + requests
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"""
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import json
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import logging
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import os
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import re
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from datetime import datetime, timedelta
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from bs4 import BeautifulSoup
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from .base import BaseSpider
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from utils.attachment import AttachmentHandler
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logger = logging.getLogger("ztb")
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class ZhejiangSpider(BaseSpider):
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"""浙江省公共资源交易中心爬虫"""
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# ---------- API 列表 ----------
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def _build_payload(self, page_index: int, page_size: int,
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category_code: str, notice_code: str,
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start_date: str, end_date: str) -> dict:
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"""构建浙江省 API 请求体"""
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condition = []
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if notice_code:
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condition.append({
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"fieldName": "categorynum",
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"isLike": True,
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"likeType": 2,
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"equal": notice_code,
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})
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elif category_code:
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condition.append({
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"fieldName": "categorynum",
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"isLike": True,
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"likeType": 2,
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"equal": category_code,
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})
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time_cond = []
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if start_date and end_date:
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time_cond.append({
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"fieldName": "webdate",
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"startTime": f"{start_date} 00:00:00",
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"endTime": f"{end_date} 23:59:59",
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})
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return {
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"token": "",
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"pn": page_index * page_size,
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"rn": page_size,
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"sdt": "", "edt": "",
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"wd": "", "inc_wd": "", "exc_wd": "",
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"fields": "title",
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"cnum": "001",
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"sort": '{"webdate":"0"}',
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"ssort": "title",
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"cl": 5000,
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"terminal": "",
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"condition": condition or None,
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"time": time_cond or None,
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"highlights": "",
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"statistics": None,
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"unionCondition": None,
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"accuracy": "",
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"noParticiple": "0",
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"searchRange": None,
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"isBusiness": "1",
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}
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def fetch_list_page(self, page_index: int, page_size: int,
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category_code: str, notice_code: str,
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start_date: str, end_date: str) -> list:
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"""通过 API 获取一页列表数据"""
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payload = self._build_payload(
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page_index, page_size, category_code, notice_code,
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start_date, end_date,
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)
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resp = self.fetch(
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self.config["api_url"],
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method="POST",
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json=payload,
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headers={"Referer": self.config["base_url"] + "/jyxxgk/list.html"},
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)
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if resp is None:
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return []
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try:
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data = resp.json()
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return data.get("result", {}).get("records", [])
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except Exception as e:
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logger.error(f"解析 API 响应失败: {e}")
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return []
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# ---------- 解析记录 ----------
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def _parse_record(self, record: dict, source: str) -> dict:
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"""将 API 原始记录转换为结果字典"""
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title = record.get("title", "").strip()
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link = record.get("linkurl", "")
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if link and not link.startswith("http"):
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link = "https://ggzy.zj.gov.cn" + link
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date_str = record.get("webdate", "")
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date_short = date_str.split(" ")[0] if date_str else ""
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item = {
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"标题": title,
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"发布日期": date_short,
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"地区": record.get("infod", ""),
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"公告类型": record.get("categoryname", ""),
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"链接": link,
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"来源": source,
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}
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# 解析标题：提取项目名称和批准文号（统一规则）
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item.update(self._parse_title(title))
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return item
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@staticmethod
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def _parse_content_fields(content: str) -> dict:
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"""从 API content 字段提取结构化信息"""
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if not content:
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return {}
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# 清理 HTML 实体
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import html as html_mod
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text = html_mod.unescape(content)
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text = re.sub(r"<[^>]+>", "", text) # 去 HTML 标签
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text = re.sub(r"\s+", " ", text).strip()
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fields = {}
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patterns = {
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"项目名称": r"项目名称[::：]\s*(.+?)\s{2,}",
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"项目代码": r"项目代码[::：]\s*(.+?)\s{2,}",
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"招标人": r"招标人[::：].*?名称[::：]\s*(.+?)\s{2,}",
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"招标代理": r"代理机构[::：].*?名称[::：]\s*(.+?)\s{2,}",
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"联系电话": r"电\s*话[::：]\s*([\d\-]+)",
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"招标估算金额": r"招标估算金额[::：]\s*([\d,\.]+\s*元)",
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}
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for key, pat in patterns.items():
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m = re.search(pat, text)
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if m:
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fields[key] = m.group(1).strip()
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return fields
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# ---------- 详情页补充 ----------
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def parse_detail(self, url: str) -> dict:
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"""访问详情页，提取项目名称和批准文号等结构化字段"""
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resp = self.fetch(url)
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if resp is None:
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return {}
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detail = {}
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soup = BeautifulSoup(resp.text, "html.parser")
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# 解析表格字段
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field_map = {
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"项目名称": "项目名称",
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"项目批准文件及文号": "项目批准文号",
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"项目批准文号": "项目批准文号",
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"批准文号": "项目批准文号",
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"建设单位(招标人)": "招标人",
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"建设单位（招标人）": "招标人",
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"招标人": "招标人",
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"项目类型": "项目类型",
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"招标方式": "招标方式",
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"联系人": "联系人",
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"联系方式": "联系方式",
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}
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for row in soup.select("table tr"):
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cells = row.select("td")
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if len(cells) >= 2:
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key = cells[0].get_text(strip=True)
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value = cells[1].get_text(strip=True)
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if key in field_map and value:
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detail[field_map[key]] = value
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if len(cells) >= 4:
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key2 = cells[2].get_text(strip=True)
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value2 = cells[3].get_text(strip=True)
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if key2 in field_map and value2:
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detail[field_map[key2]] = value2
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# 招标项目表（计划招标时间 / 预估合同金额）
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for table in soup.select("table"):
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headers = [th.get_text(strip=True) for th in table.select("th")]
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if "计划招标时间" in headers:
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data_rows = table.select("tbody tr") or [
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r for r in table.select("tr") if r.select("td")
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]
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if data_rows:
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cells = data_rows[0].select("td")
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for i, h in enumerate(headers):
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if i < len(cells):
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val = cells[i].get_text(strip=True)
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if h == "计划招标时间" and val:
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detail["计划招标时间"] = val
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elif "预估合同金额" in h and val:
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detail["预估合同金额(万元)"] = val
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break
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return detail
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# ---------- 附件 ----------
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def _extract_attachments_from_detail(self, url: str) -> list:
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"""访问详情页，提取附件链接"""
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resp = self.fetch(url)
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if resp is None:
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return []
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attachments = []
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# PDF
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for href in re.findall(r'href=["\']([^"\']*\.pdf[^"\']*)', resp.text):
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if not href.startswith("http"):
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href = self.config["base_url"] + href
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name = href.split("/")[-1]
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attachments.append({"name": name, "url": href})
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# Word
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for href in re.findall(r'href=["\']([^"\']*\.docx?[^"\']*)', resp.text):
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if not href.startswith("http"):
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href = self.config["base_url"] + href
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name = href.split("/")[-1]
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attachments.append({"name": name, "url": href})
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return attachments
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# ---------- 主流程 ----------
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def crawl(self, max_pages: int = None, category: str = None,
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notice_type: str = None, date_filter: str = None,
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download_attachment: bool = False, **kwargs):
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"""
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执行爬取
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Args:
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max_pages: 最大爬取页数
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category: 交易领域（如 "工程建设"）
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notice_type: 公告类型（如 "招标公告"）
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date_filter: 日期过滤（"yesterday" 或 "2026-02-03"）
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download_attachment: 是否下载附件
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"""
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if max_pages is None:
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max_pages = self.spider_config.get("max_pages", 10)
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page_size = self.spider_config.get("page_size", 20)
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# 日期范围
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if date_filter == "yesterday":
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d = datetime.now() - timedelta(days=1)
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start_date = end_date = d.strftime("%Y-%m-%d")
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logger.info(f"过滤日期: {start_date}（昨天）")
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elif date_filter:
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start_date = end_date = date_filter
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logger.info(f"过滤日期: {start_date}")
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else:
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# 默认近一个月
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end_date = datetime.now().strftime("%Y-%m-%d")
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start_date = (datetime.now() - timedelta(days=30)).strftime("%Y-%m-%d")
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category_code = self.config.get("categories", {}).get(category, "")
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notice_code = self.config.get("notice_types", {}).get(notice_type, "")
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# 附件处理器
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attachment_handler = None
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if download_attachment:
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attachment_dir = os.path.join(self.data_dir, "attachments")
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attachment_handler = AttachmentHandler(attachment_dir)
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logger.info(f"启用附件下载，保存到: {attachment_dir}")
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logger.info(f"开始爬取: {self.config['name']}")
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if category:
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logger.info(f"交易领域: {category}")
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if notice_type:
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logger.info(f"公告类型: {notice_type}")
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for page_idx in range(max_pages):
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if self._check_limits():
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break
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logger.info(f"正在爬取第 {page_idx + 1} 页...")
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records = self.fetch_list_page(
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page_idx, page_size, category_code, notice_code,
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start_date, end_date,
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)
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if not records:
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logger.info("没有更多数据")
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break
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count = 0
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for rec in records:
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# 客户端日期二次过滤：跳过不在目标日期范围内的记录
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rec_date = rec.get("webdate", "").split(" ")[0]
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if date_filter and rec_date and rec_date != start_date:
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continue
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link = rec.get("linkurl", "")
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if link and not link.startswith("http"):
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link = self.config["base_url"] + link
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if self.is_duplicate(link):
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continue
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item = self._parse_record(rec, self.config["name"])
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# 从 content 提取详情字段
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detail = self._parse_content_fields(rec.get("content", ""))
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item.update(detail)
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# 详情页补充：提取项目名称和批准文号等
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self.detail_delay()
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page_detail = self.parse_detail(link)
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# 详情页字段仅补充，不覆盖已有值
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for k, v in page_detail.items():
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if not item.get(k):
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item[k] = v
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# 附件
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if download_attachment and attachment_handler:
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atts = self._extract_attachments_from_detail(link)
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if atts:
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item["附件数量"] = len(atts)
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att_names = []
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for att in atts:
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att_names.append(att["name"])
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result = attachment_handler.download_and_extract(att["url"])
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if result["success"] and result["text"]:
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item["附件内容摘要"] = result["text"][:2000]
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item["附件名称"] = " | ".join(att_names)
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self.results.append(item)
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count += 1
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logger.info(f" 获取 {count} 条数据")
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if count == 0:
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logger.info("当前页无新数据，停止翻页")
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break
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self.delay()
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self.print_stats()
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logger.info(f"爬取完成，共 {len(self.results)} 条数据")
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return self.results
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