上传文件至「Cigarette」
This commit is contained in:
@@ -0,0 +1,923 @@
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#!/usr/bin/env python3
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"""
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hn.jinye.cn 卷烟订货平台数据采集脚本 v2（青龙面板专用）
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功能：
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- 采集卷烟目录全部 378 条产品数据
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- 列表页 DOM 解析（浏览器翻页）+ 详情页 API 调用（纯 HTTP，极快）
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- 支持增量更新、断点续传
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- 输出 Excel 与旧脚本（jinye_scraper.py）格式兼容
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青龙环境依赖安装:
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pip install playwright openpyxl httpx
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playwright install chromium
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用法:
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python hn_jinye_scraper.py # 增量更新（默认）
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python hn_jinye_scraper.py --quick # 快速模式（仅列表页，跳过详情API）
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python hn_jinye_scraper.py --template ./模板.xlsx # 指定模板
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python hn_jinye_scraper.py --delay 0.3 # 设置翻页/API间隔
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python hn_jinye_scraper.py --no-images # 跳过图片下载
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python hn_jinye_scraper.py --api-workers 10 # API并发线程数
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python hn_jinye_scraper.py --use-edge # 使用系统Edge浏览器（本地测试用）
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"""
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import os
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import sys
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import json
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import time
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import re
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import base64
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import argparse
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from pathlib import Path
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from datetime import datetime
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from urllib.parse import unquote, urlparse
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import httpx
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import openpyxl
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from playwright.sync_api import sync_playwright, TimeoutError as PlaywrightTimeout
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# ═══════════════════════════════════════════════════════════
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# 常量配置
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# ═══════════════════════════════════════════════════════════
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BASE_URL = "https://hn.jinye.cn/wdk"
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LIST_URL = (
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f"{BASE_URL}?action=ecw.page&method=display"
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"&site_id=web&inclient=&page_id=page_cigalist"
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)
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API_URL = f"{BASE_URL}?action=ecw.page&method=call_service"
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# 详情 API 服务标识
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DETAIL_SRVNAME = "service.ecw.tbc.product.show.v5"
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DETAIL_SRVMETHOD = "queryProductInfo"
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TOTAL_PAGES = 24
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ITEMS_PER_PAGE = 16
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TOTAL_PRODUCTS = 378
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SAVE_INTERVAL = 20 # 每 N 条保存一次
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BROWSER_TIMEOUT = 30000 # 30 秒
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# ── 列表页字段提取（CSS 选择器） ──
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LIST_SELECTORS = {
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"item": ".ciga_list_list_item",
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"product_name": ".ciga_list_list_item_title",
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"factory": ".ciga_list_factory_simple_name",
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"wholesale": ".ciga_list_list_item_bar_price_t",
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"retail": ".ciga_list_list_item_bar_price_b",
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"tags": ".ciga_list_show_tag",
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}
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# ── Excel 列映射（与 jinye_scraper.py 一致） ──
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# 列号 → (数据来源, 字段名, API字段名)
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# 数据来源: "api"=详情API, "list"=列表页, "formula"=公式, "none"=不可用
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COL_MAPPING = {
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1: ("api", "品牌", "brand_name"),
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2: ("api", "产品类型", "product_type_codename"),
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3: ("api", "产品名称", "product_name"),
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4: ("api", "小盒条码", "bar_code"),
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5: ("api", "规格长度", "spec_length"), # 由API多字段拼接
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6: ("none","烟支周长", ""), # API 未提供
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7: ("api", "焦油含量", "tar_qty"),
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8: ("api", "烟气烟碱量", "nicotine_qty"),
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9: ("none","烟气一氧化碳量", ""), # API 未提供
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10: ("formula","烟支分类", ""),
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11: ("none","每盒数量", ""),
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12: ("none","小盒价格", ""),
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13: ("api", "包装类型", "product_style_codename"),
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14: ("api", "条装条码", "bar_code2"),
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15: ("none","条装盒数", ""),
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16: ("none","条包装支数", ""), # API 未提供
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17: ("api", "官方指导价", "retail_price"),
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18: ("none","条装售价", ""),
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19: ("api", "官方进价", "whole_sale_price"),
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20: ("none","调货价", ""),
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21: ("none","最低调货价", ""),
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22: ("none","调货价更新时间", ""),
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23: ("none","出货价", ""),
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24: ("none","最高出货价", ""),
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25: ("none","出货价更新时间", ""),
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26: ("none","热度", ""),
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27: ("list","爆珠", "tags"),
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28: ("list","异型", "tags"),
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29: ("none","主体颜色", ""), # API 未提供
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30: ("none","批复日期", ""), # API 未提供
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31: ("api", "所属工业", "factory_simple_name"),
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32: ("api", "卷烟价类", "price_type_codename"),
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33: ("none","商品简称", ""),
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}
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# 格式列：需要数字格式处理
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INT_COLS = {4, 14} # 条码 → '0'
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DEC_COLS = {6, 7, 8, 9, 16, 17, 19} # 数值 → '#,##0.##'
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DATE_COL = 30 # 日期 → 'yyyy-mm-dd'
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FORMULA_COL = 10 # 烟支分类公式
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# ═══════════════════════════════════════════════════════════
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# 工具函数
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# ═══════════════════════════════════════════════════════════
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def safe_product_dir(name: str) -> str:
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"""产品名 → 安全文件夹名"""
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for ch in r'/\:*?"<>|':
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name = name.replace(ch, " ")
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return name.strip()
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def parse_price(text: str) -> str:
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"""从价格文本中提取数字。例："批发价：￥201.40元/条" → "201.40" """
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if not text:
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return ""
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m = re.search(r'[\d.]+', text)
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return m.group(0) if m else ""
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def parse_factory(text: str) -> str:
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"""从产地文本中提取名称。例："产地：浙江中烟" → "浙江中烟" """
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if not text:
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return ""
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return text.replace("产地：", "").replace("产地:", "").strip()
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def has_tag(tag_texts: list, keyword: str) -> str:
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"""检查标签列表中是否包含关键词，返回'是'或'' """
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for t in tag_texts:
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if keyword in t:
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return "是"
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return ""
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def extract_filename(url: str) -> str:
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path = urlparse(url).path
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raw = path.rsplit("/", 1)[-1]
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return unquote(raw) if raw else f"img{int(time.time())}.jpg"
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def parse_cookies(s: str) -> list[dict]:
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"""Cookie 字符串 → Playwright 格式的 cookie 列表"""
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result = []
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for item in s.split("; "):
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item = item.strip()
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if "=" in item:
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k, v = item.split("=", 1)
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result.append({
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"name": k,
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"value": v,
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"domain": "hn.jinye.cn",
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"path": "/",
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})
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return result
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# ═══════════════════════════════════════════════════════════
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# wppm 编码（API 请求参数封装）
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# ═══════════════════════════════════════════════════════════
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# ── Base64.encode2 自定义字符表 ──
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B64_TABLE = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789+/="
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def _js_escape(s: str) -> str:
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"""模拟 JavaScript escape() 函数"""
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result = []
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for c in s:
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o = ord(c)
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if (48 <= o <= 57) or (65 <= o <= 90) or (97 <= o <= 122) or c in "@*_+-./":
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result.append(c)
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elif o < 256:
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result.append(f"%{o:02X}")
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else:
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result.append(f"%u{o:04X}")
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return "".join(result)
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def _ucs2_utf8(s: str) -> list[int]:
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"""JS ucs2_utf8: 将 JS 字符串（UTF-16 code units）转换为 UTF-8 字节数组"""
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d = []
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for c in s:
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cp = ord(c)
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if cp <= 0x7f:
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d.append(cp)
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elif cp <= 0x7ff:
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d.append(((cp >> 6) & 0x1f) | 0xc0)
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d.append((cp & 0x3f) | 0x80)
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else:
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d.append((cp >> 12) | 0xe0)
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d.append(((cp >> 6) & 0x3f) | 0x80)
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d.append((cp & 0x3f) | 0x80)
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return d
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def _b64_encode2(s: str) -> str:
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"""Base64.encode2: 先 UTF-8 编码，再用自定义字符表 Base64"""
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if not s:
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return s
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b = _ucs2_utf8(s)
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d = ""
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i = 0
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while i < len(b):
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tmp = b[i]; i += 1
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b0 = (tmp & 0xfc) >> 2
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b1 = (tmp & 0x03) << 4
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if i < len(b):
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tmp = b[i]; i += 1
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b1 |= (tmp & 0xf0) >> 4
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b2 = (tmp & 0x0f) << 2
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if i < len(b):
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tmp = b[i]; i += 1
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b2 |= (tmp & 0xc0) >> 6
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b3 = tmp & 0x3f
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else:
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b3 = 64 # padding
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else:
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b2 = b3 = 64 # padding
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d += B64_TABLE[b0] + B64_TABLE[b1] + B64_TABLE[b2] + B64_TABLE[b3]
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return d
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def _encode_wppm(data_dict: dict) -> str:
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"""
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构造 wppm 参数值。
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对应 JS: Base64.encode2(escape($.json2str(data)))
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"""
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json_str = json.dumps(data_dict, ensure_ascii=False, separators=(",", ":"))
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escaped = _js_escape(json_str)
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return _b64_encode2(escaped)
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def _decode_jwt_payload(jwt_token: str) -> dict:
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"""从 JWT token 解析 payload（不验证签名）"""
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if not jwt_token:
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return {}
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try:
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payload_b64 = jwt_token.split(".")[1]
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payload_b64 += "=" * (4 - len(payload_b64) % 4)
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payload_bytes = base64.b64decode(payload_b64)
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return json.loads(payload_bytes)
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except Exception:
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return {}
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def _extract_user_info(cookie_str: str) -> dict:
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"""
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从 Cookie 中提取 API 调用所需的 user_info。
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优先 JY_HN_ACCOUNT_ID 环境变量 → wdk_user 解码 → JWT 推断。
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"""
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# 解析 cookies
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cookies = {}
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for item in cookie_str.split("; "):
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if "=" in item:
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k, v = item.split("=", 1)
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cookies[k] = v
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jwt_token = cookies.get("jwt", "")
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jwt = _decode_jwt_payload(jwt_token)
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cust_uuid = jwt.get("cust_uuid", "")
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manage_unituuid = jwt.get("manage_unit_uuid", "")
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# account_id 优先级: 环境变量 > 尝试从 cookie/login_name 推断
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account_id = os.environ.get("JY_HN_ACCOUNT_ID", "")
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if not account_id:
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# 尝试从 wdk_user 中解码（如果 wdk_user 编码了 account_uuid）
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# 如果实在获取不到，使用 login_name 作为 fallback
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account_id = os.environ.get("JY_HN_ACCOUNT_ID", "")
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if not account_id:
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print("[警告] 未设置 JY_HN_ACCOUNT_ID 环境变量，详情 API 调用可能失败")
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print(" 可通过浏览器 Console 执行 $.getLoginUser() 获取 account_uuid")
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print(" 然后设置: export JY_HN_ACCOUNT_ID=<account_uuid值>")
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return {
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"account_id": account_id,
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"personuuid": cust_uuid,
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"manageunituuid": manage_unituuid,
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}
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def _build_api_payload(srvname: str, srvmethod: str, data: dict, user_info: dict | None = None) -> dict:
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"""构造 call_service API 的 POST 请求体（自动注入 user_info）"""
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inner = {
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"_SRVNAME": srvname,
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"_SRVMETHOD": srvmethod,
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"_DATA": json.dumps(data, ensure_ascii=False, separators=(",", ":")),
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}
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return {"wppm": _encode_wppm(inner)}
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# ═══════════════════════════════════════════════════════════
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# 详情 API 采集
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# ═══════════════════════════════════════════════════════════
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def fetch_detail_via_api(
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client: httpx.Client, product_uuid: str, user_info: dict
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) -> dict | None:
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"""
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通过 call_service API 获取单个产品的完整详情。
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返回 resultset 字典，失败返回 None。
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"""
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import time as _time
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ajax_ts = str(int(_time.time() * 1000))
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url = f"{API_URL}&ajaxparamtime={ajax_ts}"
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payload = _build_api_payload(
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DETAIL_SRVNAME,
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DETAIL_SRVMETHOD,
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{
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"user_info": user_info,
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"product_uuid": product_uuid,
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"manage_unit_uuid": user_info.get("manageunituuid", ""),
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},
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)
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for attempt in range(3):
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try:
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r = client.post(
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url,
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data=payload,
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headers={"Content-Type": "application/x-www-form-urlencoded"},
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timeout=15,
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)
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if r.status_code == 200:
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# 响应可能是纯 JSON 或经 $.str2json() 处理的文本
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result = r.json()
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if result.get("code") == "1":
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rs = result.get("resultset")
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if rs:
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return rs
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except Exception:
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if attempt < 2:
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_time.sleep(1)
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return None
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def fetch_details_concurrent(
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cookie_str: str,
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list_items: list[dict],
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user_info: dict,
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workers: int,
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delay: float,
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) -> list[dict]:
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"""
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并发调用详情 API，为每条列表数据补充完整字段。
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返回合并后的 detailed_items 列表。
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"""
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# 从 cookie 字符串构建 httpx cookies
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cookies = {}
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for item in cookie_str.split("; "):
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item = item.strip()
|
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if "=" in item:
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k, v = item.split("=", 1)
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cookies[k] = v
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client = httpx.Client(
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cookies=cookies,
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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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"Referer": LIST_URL,
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},
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timeout=20,
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follow_redirects=False, # 不跟随重定向（200 才是成功）
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)
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detailed = [None] * len(list_items)
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total = len(list_items)
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def _fetch_one(idx: int, item: dict):
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uuid = item.get("uuid", "")
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if not uuid:
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return idx, item
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api_data = fetch_detail_via_api(client, uuid, user_info)
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if api_data:
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merged = _merge_item(item, api_data)
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else:
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merged = item
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return idx, merged
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print(f"[详情API] 并发采集 {total} 条 (workers={workers})...")
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with ThreadPoolExecutor(max_workers=workers) as executor:
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futures = {
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executor.submit(_fetch_one, i, item): i
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||||
for i, item in enumerate(list_items)
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}
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completed = 0
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for future in as_completed(futures):
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idx, merged = future.result()
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detailed[idx] = merged
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completed += 1
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||||
if completed % 50 == 0 or completed == total:
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print(f" [{completed}/{total}] 完成")
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||||
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||||
client.close()
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return detailed
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||||
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|
||||
def _merge_item(list_item: dict, api_data: dict) -> dict:
|
||||
"""合并列表数据和API详情数据，API数据优先"""
|
||||
# 列表字段
|
||||
tags = list_item.get("tags", [])
|
||||
|
||||
# 从 API 构造规格长度，清理 .00 尾零，全零则为空
|
||||
def _clean_num(v):
|
||||
"""清理数值字符串：去除末尾 .00 / .0，0 值返回空"""
|
||||
if v is None or v == "":
|
||||
return ""
|
||||
s = str(v).strip()
|
||||
try:
|
||||
f = float(s)
|
||||
if f == 0.0:
|
||||
return ""
|
||||
if f == int(f):
|
||||
s = str(int(f))
|
||||
except ValueError:
|
||||
pass
|
||||
return s
|
||||
|
||||
tbc_total = _clean_num(api_data.get("tbc_total_length", ""))
|
||||
tbc_len = _clean_num(api_data.get("tbc_length", ""))
|
||||
filter_len = _clean_num(api_data.get("filter_length", ""))
|
||||
|
||||
if not tbc_total:
|
||||
spec_length = ""
|
||||
else:
|
||||
spec_parts = [tbc_total]
|
||||
if filter_len and tbc_len:
|
||||
spec_parts.append(f"({filter_len}+{tbc_len})")
|
||||
elif tbc_len:
|
||||
spec_parts.append(f"(+{tbc_len})")
|
||||
spec_parts.append("mm")
|
||||
spec_length = "".join(spec_parts)
|
||||
|
||||
return {
|
||||
# 列表页字段
|
||||
"product_name": api_data.get("product_name") or list_item.get("product_name", ""),
|
||||
"factory": api_data.get("factory_simple_name") or list_item.get("factory", ""),
|
||||
"wholesale": api_data.get("whole_sale_price") or list_item.get("wholesale", ""),
|
||||
"retail": api_data.get("retail_price") or list_item.get("retail", ""),
|
||||
"tags": tags,
|
||||
"uuid": list_item.get("uuid", ""),
|
||||
# 详情 API 字段
|
||||
"brand_name": api_data.get("brand_name", ""),
|
||||
"factory_simple_name": api_data.get("factory_simple_name", ""),
|
||||
"whole_sale_price": api_data.get("whole_sale_price", ""),
|
||||
"retail_price": api_data.get("retail_price", ""),
|
||||
"tar_qty": api_data.get("tar_qty", ""),
|
||||
"nicotine_qty": api_data.get("nicotine_qty", ""),
|
||||
"product_style_codename": api_data.get("product_style_codename", ""),
|
||||
"product_type_codename": api_data.get("product_type_codename", ""),
|
||||
"bar_code2": api_data.get("bar_code2", ""),
|
||||
"bar_code": api_data.get("bar_code", ""),
|
||||
"price_type_codename": api_data.get("price_type_codename", ""),
|
||||
"img_main": api_data.get("img_main", ""),
|
||||
"product_code": api_data.get("product_code", ""),
|
||||
"spec_length": spec_length,
|
||||
"filter_color": api_data.get("filter_color", ""),
|
||||
}
|
||||
|
||||
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
# Excel 写入
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
|
||||
def write_cell(ws, row: int, col: int, value):
|
||||
"""写入单元格并设置格式/公式（与 jinye_scraper.py 一致）"""
|
||||
cell = ws.cell(row, col)
|
||||
|
||||
# 烟支分类公式
|
||||
if col == FORMULA_COL:
|
||||
cell.value = (
|
||||
f'=IF(AND(F{row}>=16,F{row}<18),"细支",'
|
||||
f'IF(AND(F{row}>=19,F{row}<=22),"中支",'
|
||||
f'IF(AND(F{row}>=23,F{row}<25),"粗支","非常规")))'
|
||||
)
|
||||
return
|
||||
|
||||
# 日期列
|
||||
if col == DATE_COL and value and str(value).strip():
|
||||
try:
|
||||
dt = datetime.strptime(str(value).strip(), "%Y-%m-%d")
|
||||
cell.value = dt
|
||||
cell.number_format = 'yyyy-mm-dd'
|
||||
return
|
||||
except ValueError:
|
||||
cell.value = str(value).strip()
|
||||
cell.number_format = 'yyyy-mm-dd'
|
||||
return
|
||||
|
||||
# 整数列（条码）
|
||||
if col in INT_COLS:
|
||||
s = str(value).strip()
|
||||
if s:
|
||||
try:
|
||||
cell.value = int(float(s))
|
||||
except ValueError:
|
||||
cell.value = s
|
||||
cell.number_format = '0'
|
||||
return
|
||||
|
||||
# 小数列（价格、理化指标）
|
||||
if col in DEC_COLS:
|
||||
s = str(value).strip()
|
||||
if s:
|
||||
try:
|
||||
cell.value = float(s)
|
||||
except ValueError:
|
||||
cell.value = s
|
||||
cell.number_format = '#,##0.##'
|
||||
return
|
||||
|
||||
# 普通文本
|
||||
cell.value = str(value).strip() if value else ""
|
||||
|
||||
|
||||
def load_existing_products(ws) -> dict:
|
||||
"""从已有 Excel 读取产品名称索引"""
|
||||
existing = {}
|
||||
for row in range(2, ws.max_row + 1):
|
||||
n = ws.cell(row, 3).value
|
||||
if n:
|
||||
name_key = str(n).strip()
|
||||
if name_key.startswith("=HYPERLINK"):
|
||||
m = re.search(r',"([^"]*)"\)', name_key)
|
||||
if m:
|
||||
name_key = m.group(1)
|
||||
existing[name_key] = row
|
||||
return existing
|
||||
|
||||
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
# 浏览器操作
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
|
||||
def create_browser_context(playwright, cookies: list[dict], use_edge: bool = False):
|
||||
"""创建浏览器上下文并注入 Cookie"""
|
||||
if use_edge:
|
||||
browser = playwright.chromium.launch(channel="msedge", headless=True)
|
||||
else:
|
||||
browser = playwright.chromium.launch(headless=True)
|
||||
context = browser.new_context(
|
||||
viewport={"width": 1280, "height": 800},
|
||||
user_agent=(
|
||||
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
|
||||
"AppleWebKit/537.36 (KHTML, like Gecko) "
|
||||
"Chrome/120.0.0.0 Safari/537.36"
|
||||
),
|
||||
)
|
||||
if cookies:
|
||||
context.add_cookies(cookies)
|
||||
return browser, context
|
||||
|
||||
|
||||
def scrape_list_page(page, page_num: int) -> list[dict]:
|
||||
"""采集单页列表数据"""
|
||||
items = []
|
||||
try:
|
||||
# 等待列表项加载
|
||||
page.wait_for_selector(LIST_SELECTORS["item"], timeout=BROWSER_TIMEOUT)
|
||||
page.wait_for_timeout(500) # 额外等待渲染完成
|
||||
|
||||
els = page.query_selector_all(LIST_SELECTORS["item"])
|
||||
for el in els:
|
||||
# 产品 UUID
|
||||
item_id = el.get_attribute("item_id") or ""
|
||||
|
||||
# 产品名称
|
||||
name_el = el.query_selector(LIST_SELECTORS["product_name"])
|
||||
product_name = name_el.inner_text().strip() if name_el else ""
|
||||
|
||||
# 产地
|
||||
factory_el = el.query_selector(LIST_SELECTORS["factory"])
|
||||
factory = parse_factory(factory_el.inner_text()) if factory_el else ""
|
||||
|
||||
# 批发价
|
||||
wholesale_el = el.query_selector(LIST_SELECTORS["wholesale"])
|
||||
wholesale = parse_price(wholesale_el.inner_text()) if wholesale_el else ""
|
||||
|
||||
# 零售价
|
||||
retail_el = el.query_selector(LIST_SELECTORS["retail"])
|
||||
retail = parse_price(retail_el.inner_text()) if retail_el else ""
|
||||
|
||||
# 标签
|
||||
tag_els = el.query_selector_all(LIST_SELECTORS["tags"])
|
||||
tag_texts = []
|
||||
for t in tag_els:
|
||||
# 标签文本通过 CSS 背景图渲染，尝试多种方式获取
|
||||
txt = (t.get_attribute("title") or t.inner_text() or "").strip()
|
||||
if txt:
|
||||
tag_texts.append(txt)
|
||||
|
||||
items.append({
|
||||
"uuid": item_id,
|
||||
"product_name": product_name,
|
||||
"factory": factory,
|
||||
"wholesale": wholesale,
|
||||
"retail": retail,
|
||||
"tags": tag_texts,
|
||||
})
|
||||
except PlaywrightTimeout:
|
||||
print(f" [警告] 第 {page_num} 页加载超时")
|
||||
except Exception as e:
|
||||
print(f" [错误] 第 {page_num} 页采集异常: {e}")
|
||||
|
||||
return items
|
||||
|
||||
|
||||
def go_to_next_page(page) -> bool:
|
||||
"""翻到下一页，返回是否成功"""
|
||||
try:
|
||||
# 检查下一页按钮是否可用
|
||||
next_btn = page.query_selector("a.pagebar_gonext:not(.pagebar_idx_disabled)")
|
||||
if not next_btn:
|
||||
return False
|
||||
|
||||
next_btn.click()
|
||||
# 等待页面更新：currentpage 属性变化
|
||||
page.wait_for_timeout(1000)
|
||||
return True
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
def scrape_all_list_pages(page, delay: float) -> list[dict]:
|
||||
"""遍历所有24页，采集全部产品列表数据"""
|
||||
all_items = []
|
||||
|
||||
for page_num in range(1, TOTAL_PAGES + 1):
|
||||
print(f"[列表采集] 第 {page_num}/{TOTAL_PAGES} 页...", end=" ")
|
||||
|
||||
items = scrape_list_page(page, page_num)
|
||||
all_items.extend(items)
|
||||
print(f"获取 {len(items)} 条")
|
||||
|
||||
if page_num < TOTAL_PAGES:
|
||||
success = go_to_next_page(page)
|
||||
if not success:
|
||||
print(f" [警告] 第 {page_num} 页翻页失败，尝试直接导航...")
|
||||
# 备选：有些页面通过页码跳转
|
||||
try:
|
||||
page_input = page.query_selector("input.pagebar_topage")
|
||||
page_btn = page.query_selector("div.pagebar_btn")
|
||||
if page_input and page_btn:
|
||||
page_input.fill(str(page_num + 1))
|
||||
page_btn.click()
|
||||
page.wait_for_timeout(1500)
|
||||
else:
|
||||
break
|
||||
except Exception:
|
||||
break
|
||||
time.sleep(delay)
|
||||
|
||||
return all_items
|
||||
|
||||
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
# 图片下载（预留，与 jinye_scraper.py 兼容）
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
|
||||
def download_images_for_product(pk, name, images_root, img_main_id):
|
||||
"""为单个产品下载主图（预留）"""
|
||||
# TODO: 通过 fileid 构造图片URL并下载
|
||||
pass
|
||||
|
||||
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
# 主流程
|
||||
# ═══════════════════════════════════════════════════════════
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="hn.jinye.cn 卷烟订货平台数据采集 v2")
|
||||
parser.add_argument("--template", default="", help="模板 Excel 路径，默认脚本同目录")
|
||||
parser.add_argument("--output", default="", help="输出路径，默认覆盖模板")
|
||||
parser.add_argument("--delay", type=float, default=0.3,
|
||||
help="翻页/API请求间隔（秒）")
|
||||
parser.add_argument("--quick", action="store_true",
|
||||
help="快速模式：仅采集列表页数据，跳过详情API")
|
||||
# --new 参数已移除；增量模式（默认）已覆盖所有场景
|
||||
parser.add_argument("--no-images", action="store_true",
|
||||
help="跳过图片下载")
|
||||
parser.add_argument("--api-workers", type=int, default=10,
|
||||
help="详情API并发线程数（默认10）")
|
||||
parser.add_argument("--use-edge", action="store_true",
|
||||
help="使用系统已安装的 Edge 浏览器（无需 playwright install chromium）")
|
||||
args = parser.parse_args()
|
||||
|
||||
# ── 模板路径 ──
|
||||
script_dir = Path(__file__).parent
|
||||
if not args.template:
|
||||
args.template = str(script_dir / "卷烟产品数据系统_v1.xlsx")
|
||||
|
||||
template_path = Path(args.template)
|
||||
if not template_path.exists():
|
||||
print(f"错误: 模板文件不存在 {args.template}")
|
||||
print("提示: 请将模板 Excel 放在脚本同目录，或用 --template 指定路径")
|
||||
sys.exit(1)
|
||||
|
||||
template_dir = template_path.parent
|
||||
images_root = template_dir / "卷烟产品详情图"
|
||||
output_path = args.output if args.output else str(template_path)
|
||||
|
||||
# ── Cookie ──
|
||||
cookie_str = os.environ.get("JY_HN_CK", "") or os.environ.get("JY_CK", "")
|
||||
if not cookie_str:
|
||||
print("错误: 未设置 Cookie 环境变量")
|
||||
print("请设置 JY_HN_CK 或 JY_CK 环境变量，值为完整的 Cookie 字符串")
|
||||
sys.exit(1)
|
||||
cookies = parse_cookies(cookie_str)
|
||||
|
||||
# ── 提取 user_info（从 JWT 和环境变量）──
|
||||
user_info = _extract_user_info(cookie_str)
|
||||
if not user_info.get("account_id"):
|
||||
print("错误: 无法获取 account_id，详情 API 调用需要此参数")
|
||||
print("请在浏览器 Console 执行 $.getLoginUser() 获取 account_uuid，")
|
||||
print("然后设置环境变量: export JY_HN_ACCOUNT_ID=<account_uuid值>")
|
||||
if not args.quick:
|
||||
print("改用 --quick 快速模式可跳过详情 API 采集")
|
||||
sys.exit(1)
|
||||
print(f"[user_info] account_id={user_info.get('account_id')} "
|
||||
f"cust_uuid={user_info.get('personuuid')} "
|
||||
f"manage_unit={user_info.get('manageunituuid')}")
|
||||
|
||||
# ── 加载模板 ──
|
||||
wb = openpyxl.load_workbook(str(template_path))
|
||||
ws = wb.active
|
||||
|
||||
existing = load_existing_products(ws)
|
||||
print(f"模板已有 {len(existing)} 条数据")
|
||||
|
||||
# ── 启动浏览器 ──
|
||||
print("\n启动浏览器...")
|
||||
with sync_playwright() as p:
|
||||
browser, context = create_browser_context(p, cookies, args.use_edge)
|
||||
|
||||
# 阶段一：列表页采集
|
||||
print(f"\n{'='*50}")
|
||||
print("阶段一：列表页采集（24页，共378条）")
|
||||
print(f"{'='*50}")
|
||||
|
||||
page = context.new_page()
|
||||
page.goto(LIST_URL, timeout=BROWSER_TIMEOUT, wait_until="domcontentloaded")
|
||||
page.wait_for_timeout(2000)
|
||||
|
||||
# 检查是否成功登录
|
||||
if "login" in page.url.lower() or page.query_selector("input[type='password']"):
|
||||
print("错误: Cookie 已过期，请重新获取 Cookie 后设置 JY_HN_CK 环境变量")
|
||||
page.close()
|
||||
context.close()
|
||||
browser.close()
|
||||
sys.exit(1)
|
||||
|
||||
list_items = scrape_all_list_pages(page, args.delay)
|
||||
page.close()
|
||||
|
||||
print(f"\n列表采集完成: 共 {len(list_items)} 条产品")
|
||||
|
||||
# 阶段二：详情 API 并发采集（可选）
|
||||
if args.quick:
|
||||
print("\n快速模式：跳过详情API采集")
|
||||
detailed_items = list_items
|
||||
else:
|
||||
print(f"\n{'='*50}")
|
||||
print(f"阶段二：详情API并发采集（{len(list_items)} 条产品）")
|
||||
print(f"{'='*50}")
|
||||
|
||||
detailed_items = fetch_details_concurrent(
|
||||
cookie_str, list_items, user_info, args.api_workers, args.delay
|
||||
)
|
||||
|
||||
context.close()
|
||||
browser.close()
|
||||
|
||||
# ── 写入 Excel ──
|
||||
print(f"\n{'='*50}")
|
||||
print("写入 Excel...")
|
||||
print(f"{'='*50}")
|
||||
|
||||
existing = load_existing_products(ws)
|
||||
next_row = ws.max_row + 1
|
||||
new_cnt = upd_cnt = skip_cnt = 0
|
||||
|
||||
for item in detailed_items:
|
||||
name = item.get("product_name", "")
|
||||
if not name:
|
||||
skip_cnt += 1
|
||||
continue
|
||||
|
||||
# 获取数据（优先详情API数据）
|
||||
brand = item.get("brand_name", "")
|
||||
product_type = item.get("product_type_codename", "")
|
||||
factory = item.get("factory_simple_name", "") or item.get("factory", "")
|
||||
retail = item.get("retail_price", "") or item.get("retail", "")
|
||||
wholesale = item.get("whole_sale_price", "") or item.get("wholesale", "")
|
||||
tags = item.get("tags", [])
|
||||
tar = item.get("tar_qty", "")
|
||||
nicotine = item.get("nicotine_qty", "")
|
||||
# 0 值视为数据缺失，清空
|
||||
try:
|
||||
if float(str(tar).strip()) == 0.0:
|
||||
tar = ""
|
||||
except (ValueError, TypeError):
|
||||
pass
|
||||
try:
|
||||
if float(str(nicotine).strip()) == 0.0:
|
||||
nicotine = ""
|
||||
except (ValueError, TypeError):
|
||||
pass
|
||||
style = item.get("product_style_codename", "")
|
||||
bar_code = item.get("bar_code", "")
|
||||
bar_code2 = item.get("bar_code2", "")
|
||||
price_type = item.get("price_type_codename", "")
|
||||
spec_length = item.get("spec_length", "")
|
||||
img_main = item.get("img_main", "")
|
||||
|
||||
# 标签推断
|
||||
is_pearl = has_tag(tags, "爆珠")
|
||||
is_abnormal = has_tag(tags, "异型")
|
||||
|
||||
# 数据字典（Excel 列号 → 值）
|
||||
row_data = {
|
||||
1: brand,
|
||||
2: product_type,
|
||||
3: name,
|
||||
4: bar_code,
|
||||
5: spec_length,
|
||||
7: tar,
|
||||
8: nicotine,
|
||||
13: style,
|
||||
14: bar_code2,
|
||||
17: retail,
|
||||
19: wholesale,
|
||||
27: is_pearl,
|
||||
28: is_abnormal,
|
||||
31: factory,
|
||||
32: price_type,
|
||||
}
|
||||
|
||||
# ── 已存在产品：补缺 ──
|
||||
fmt_cols = INT_COLS | DEC_COLS | {DATE_COL}
|
||||
if name in existing:
|
||||
target_row = existing[name]
|
||||
fills = 0
|
||||
for col_idx, val in row_data.items():
|
||||
cur = ws.cell(target_row, col_idx).value
|
||||
if col_idx in fmt_cols:
|
||||
# 格式列：始终重写以确保数字格式正确；API有值用API，否则保留原值
|
||||
val_to_write = val if val else (cur if cur is not None else "")
|
||||
write_cell(ws, target_row, col_idx, val_to_write)
|
||||
fills += 1
|
||||
elif val and (cur is None or str(cur).strip() == ""):
|
||||
write_cell(ws, target_row, col_idx, val)
|
||||
fills += 1
|
||||
# 公式
|
||||
write_cell(ws, target_row, FORMULA_COL, None)
|
||||
if fills:
|
||||
upd_cnt += 1
|
||||
continue
|
||||
|
||||
# ── 新产品 ──
|
||||
target_row = next_row
|
||||
next_row += 1
|
||||
existing[name] = target_row
|
||||
new_cnt += 1
|
||||
|
||||
for col_idx, val in row_data.items():
|
||||
write_cell(ws, target_row, col_idx, val)
|
||||
write_cell(ws, target_row, FORMULA_COL, None)
|
||||
|
||||
print(f"新增 [{new_cnt}] {name}")
|
||||
|
||||
if new_cnt % SAVE_INTERVAL == 0:
|
||||
wb.save(output_path)
|
||||
print(f" --- 已保存 ({new_cnt} 条) ---")
|
||||
|
||||
wb.save(output_path)
|
||||
|
||||
# ── 汇总 ──
|
||||
print(f"\n{'='*50}")
|
||||
print("采集完成！")
|
||||
print(f" 新增: {new_cnt} | 补缺: {upd_cnt} | 跳过: {skip_cnt}")
|
||||
print(f" 共: {ws.max_row - 1} 行")
|
||||
print(f" Excel: {output_path}")
|
||||
if images_root.exists():
|
||||
print(f" 图片: {images_root}")
|
||||
print(f"{'='*50}")
|
||||
|
||||
# ── 提示未采集的字段 ──
|
||||
missing_fields = [
|
||||
"烟支周长", "烟气一氧化碳量", "条包装支数",
|
||||
"主体颜色", "批复日期",
|
||||
]
|
||||
improved_fields = [
|
||||
"产品类型", "规格长度", "烟气烟碱量",
|
||||
]
|
||||
print(f"\n注意: 以下字段 hn.jinye.cn API 未提供，已留空：{', '.join(missing_fields)}")
|
||||
print(f"本次新增采集字段（v2 API 模式）：{', '.join(improved_fields)}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user