320 lines
16 KiB
Python
320 lines
16 KiB
Python
"""
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收货明细报表 - 全量分页抓取 (精简字段模式)
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目标: 模拟点击菜单，过滤 11 个核心字段，并循环点击下一页，直到所有数据抓取完毕。
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"""
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import sys
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import json
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import time
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import random
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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from login import get_page, log
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from config import OUTPUT_DIR
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HOME_URL = "https://yunmes.tftykj.cn/"
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API_TARGET = "ReceiptDetailsCheck_SearchList_Proxy"
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SAVE_PATH = OUTPUT_DIR / "receipt_details_full_clean.json"
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def fetch_receipt_details_full():
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log("INFO", "=== 🚚 启动收货明细报表全量抓取 (精简字段模式) ===")
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page = get_page(port=9222)
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# 尝试加载已有的存档，实现真正的断点累加
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all_clean_items = []
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if SAVE_PATH.exists():
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try:
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with open(SAVE_PATH, "r", encoding="utf-8") as f:
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all_clean_items = json.load(f)
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log("INFO", f"📦 已加载本地历史存档，包含 {len(all_clean_items)} 条数据。")
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except Exception as e:
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log("WARN", f"加载本地存档失败: {e}，将从空列表开始。")
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all_clean_items = []
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try:
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log("INFO", f"正在回到主页起点: {HOME_URL}")
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page.get(HOME_URL)
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page.wait.load_start()
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time.sleep(2)
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menus = [
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("第一层: 业务统计报表", 'xpath://*[@id="app"]/div/div[1]/div[1]/div[2]/div/div[1]/div/div[10]/div/p'),
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("第二层: 财务业务报表", 'text:财务业务报表'),
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("第三层: 财务收货明细报表", 'text:财务收货明细报表')
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]
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log("INFO", "开始模拟人工点击左侧导航菜单...")
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for name, xpath in menus:
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ele = page.ele(xpath, timeout=5)
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if ele:
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try: ele.click()
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except: page.run_js("arguments[0].click();", ele)
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time.sleep(1.5)
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else:
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log("ERR", f"找不到菜单元素: {name}")
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return
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log("OK", "✅ 成功点开收货明细报表界面！")
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# 点击空白处隐藏菜单
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blank_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[1]/div[2]/div[2]/div/div[1]/div'
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blank_ele = page.ele(blank_xpath, timeout=3)
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if blank_ele:
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try: blank_ele.click()
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except: page.run_js("arguments[0].click();", blank_ele)
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time.sleep(0.5)
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log("INFO", f"开启底层数据拦截网: {API_TARGET}")
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page.listen.start(API_TARGET)
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packet = page.listen.wait(timeout=10)
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if not packet:
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log("INFO", "尝试寻找并点击页面上的【查询】按钮...")
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query_btn_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[2]/div[1]/div[1]/div/button[1]/span'
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query_btn = page.ele(query_btn_xpath, timeout=3)
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if query_btn:
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try: query_btn.click()
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except: page.run_js("arguments[0].click();", query_btn)
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packet = page.listen.wait(timeout=15)
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if not packet:
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log("ERR", "未能拦截到第一页数据，可能网络超时或查询未触发。")
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page.listen.stop()
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return
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# =========================================================
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# 第一页数据处理 (如果触发断点，则忽略第一页数据)
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# =========================================================
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log("OK", f"🎉 成功拦截到第一页数据！HTTP: {packet.response.status}")
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body = packet.response.body
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data = body if isinstance(body, (dict, list)) else json.loads(body)
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# 设定开始抓取的页码，1表示从头开始抓全量数据
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target_resume_page = 690
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total_count = 0
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if isinstance(data, dict) and "result" in data:
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total_count = data["result"].get("totalCount", 0)
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items = data["result"].get("items", [])
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# 只有当不是断点续传（即从第1页开始）时，才把第一页的数据加入列表
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if target_resume_page <= 1:
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for item in items:
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all_clean_items.append({
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"采购订单号": item.get("purchaseOrderCode"),
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"行号": item.get("rowsNum"),
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"物料代码": item.get("materialCode"),
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"物料名称": item.get("materialName"),
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"物料规格": item.get("materialSpecification"),
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"仓库代码": item.get("warehouseCode"),
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"仓库名称": item.get("warehouseName"),
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"供应商代码": item.get("supplierCode"),
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"供应商名称": item.get("supplierName"),
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"单位名称": item.get("unitName"),
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"转换单位": item.get("convertUnitName"),
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"收货单价": item.get("receivePrice"),
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"收货时间": item.get("receiptTime"),
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"进货数量": item.get("plannedPurchaseQuantity"),
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"收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
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"收货总金额": item.get("receiveAmount")
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})
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log("OK", f"第一页清洗完成，提取了 {len(items)} 条数据。后端报告总条数: {total_count}")
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else:
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log("INFO", f"触发断点续传，跳过第一页的数据保存。后端报告总条数: {total_count}")
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page_num = 1
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# =========================================================
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# 断点续传逻辑 (由于刚才中断在 711 页，我们需要跳到 712 页继续)
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# =========================================================
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if target_resume_page > 1:
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log("INFO", f"🚀 触发断点续传机制！准备直接跳转到第 {target_resume_page} 页...")
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# 尝试找页码输入框
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jumper_input_xpath = 'xpath://*[@id="app"]/div/div[1]/div[2]/div[2]/div[1]/div[2]/div/div[2]/div[1]/span[3]/div/div//input'
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input_ele = page.ele(jumper_input_xpath, timeout=5)
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if not input_ele:
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jumper_input_xpath = 'xpath://input[@type="number" and @aria-label="页"]'
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input_ele = page.ele(jumper_input_xpath, timeout=5)
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if input_ele:
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input_ele.clear()
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input_ele.input(str(target_resume_page))
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time.sleep(0.5)
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input_ele.input('\n')
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packet = page.listen.wait(timeout=15)
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if not packet:
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log("ERR", "断点跳转失败，未拦截到目标页的数据请求。")
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return
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log("OK", f"✅ 成功跳转至第 {target_resume_page} 页并截获数据！")
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page_num = target_resume_page
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# 读取并解析第 191 页的数据
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body = packet.response.body
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data = body if isinstance(body, (dict, list)) else json.loads(body)
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if isinstance(data, dict) and "result" in data:
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items = data["result"].get("items", [])
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for item in items:
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all_clean_items.append({
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"采购订单号": item.get("purchaseOrderCode"),
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"行号": item.get("rowsNum"),
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"物料代码": item.get("materialCode"),
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"物料名称": item.get("materialName"),
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"物料规格": item.get("materialSpecification"),
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"仓库代码": item.get("warehouseCode"),
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"仓库名称": item.get("warehouseName"),
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"供应商代码": item.get("supplierCode"),
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"供应商名称": item.get("supplierName"),
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"单位名称": item.get("unitName"),
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"转换单位": item.get("convertUnitName"),
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"收货单价": item.get("receivePrice"),
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"收货时间": item.get("receiptTime"),
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"进货数量": item.get("plannedPurchaseQuantity"),
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"收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
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"收货总金额": item.get("receiveAmount")
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})
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log("OK", f"第 {page_num} 页清洗完成，累计提取 {len(all_clean_items)} 条数据。")
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else:
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log("ERR", "找不到页码输入框，断点跳转失败，将从第 1 页继续！")
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# =========================================================
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# 循环翻页抓取
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# =========================================================
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while True:
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# 引入“类人”随机延迟（2.5 秒到 5.5 秒之间随机）
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delay = random.uniform(2.5, 5.5)
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log("INFO", f"⏳ 模拟真人停顿 {delay:.2f} 秒后，准备点击下一页...")
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time.sleep(delay)
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# 偶尔的“长休息”（模拟用户看累了或者喝口水），每抓 50 页额外休息 10-20 秒
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if page_num > 1 and page_num % 50 == 0:
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long_delay = random.uniform(10.0, 20.0)
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log("INFO", f"☕️ 已经连续高强度翻了 {page_num} 页，触发风控规避机制，假装喝水休息 {long_delay:.2f} 秒...")
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time.sleep(long_delay)
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# 兼容多种 ElementUI 翻页按钮的特征
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# 为了防止由于网络延迟导致的 DOM 元素短暂消失，我们加入重试机制
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next_btn = None
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for _ in range(3):
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next_btn = page.ele('xpath://button[contains(@class, "btn-next")]', timeout=3)
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if next_btn:
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break
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time.sleep(1)
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# 【修复】当跳页页数大于 400 页时，某些页面的 ElementUI 分页组件会为了节省 DOM 而卸载 next_btn
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# 或者被包裹在隐藏容器里。如果在页面底部直接寻找带有 "btn-next" 且不包含 disabled 的按钮
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if not next_btn:
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# 尝试备用定位方式：直接找右箭头图标所在的按钮
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next_btn = page.ele('xpath://i[contains(@class, "el-icon-arrow-right")]/parent::button', timeout=3)
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if not next_btn:
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log("ERR", "重试 3 次后仍然找不到下一页按钮，可能是页面崩溃或会话超时，尝试强制刷新页面...")
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page.refresh()
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page.wait.load_start()
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time.sleep(5)
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# 刷新后尝试重新找一次
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next_btn = page.ele('xpath://button[contains(@class, "btn-next")]', timeout=5)
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if not next_btn:
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log("ERR", "刷新后依然找不到下一页按钮，彻底中止。")
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break
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# 检查按钮是否被禁用
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class_str = str(next_btn.attr("class"))
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aria_disabled = next_btn.attr("aria-disabled")
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is_disabled_attr = next_btn.attr("disabled") is not None
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if "disabled" in class_str or is_disabled_attr or aria_disabled == "true":
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log("OK", "🏁 下一页按钮已被禁用，说明已经到达最后一页！")
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break
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page_num += 1
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log("INFO", f"正在点击【下一页】抓取第 {page_num} 页...")
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try:
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next_btn.click()
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except Exception as e:
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log("ERR", f"普通点击失败: {e}，尝试 JS 点击...")
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page.run_js("arguments[0].click();", next_btn)
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# 等待新一页的 API 响应
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packet = page.listen.wait(timeout=15)
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if not packet:
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log("ERR", f"第 {page_num} 页请求超时或未触发，中止抓取。")
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break
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body = packet.response.body
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data = body if isinstance(body, (dict, list)) else json.loads(body)
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if isinstance(data, dict) and "result" in data:
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items = data["result"].get("items", [])
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if not items:
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log("WARN", f"第 {page_num} 页返回了空列表，可能已无数据。")
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break
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for item in items:
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all_clean_items.append({
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"采购订单号": item.get("purchaseOrderCode"),
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"行号": item.get("rowsNum"),
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"物料代码": item.get("materialCode"),
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"物料名称": item.get("materialName"),
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"物料规格": item.get("materialSpecification"),
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"仓库代码": item.get("warehouseCode"),
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"仓库名称": item.get("warehouseName"),
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"供应商代码": item.get("supplierCode"),
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"供应商名称": item.get("supplierName"),
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"单位名称": item.get("unitName"),
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"转换单位": item.get("convertUnitName"),
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"收货单价": item.get("receivePrice"),
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"收货时间": item.get("receiptTime"),
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"进货数量": item.get("plannedPurchaseQuantity"),
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"收货数量": item.get("convertGoodsQuantity") if item.get("convertGoodsQuantity") is not None else item.get("goodsQuantity"),
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"收货总金额": item.get("receiveAmount")
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})
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log("OK", f"第 {page_num} 页清洗完成，累计提取 {len(all_clean_items)} 条数据。")
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# 每 10 页自动保存一次，防止意外崩溃导致数据丢失
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if page_num % 10 == 0:
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with open(SAVE_PATH, "w", encoding="utf-8") as f:
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json.dump(all_clean_items, f, ensure_ascii=False, indent=2)
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log("INFO", f"💾 自动存档: 已保存 {len(all_clean_items)} 条记录至本地。")
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else:
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log("ERR", f"第 {page_num} 页数据结构异常，中止。")
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break
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page.listen.stop()
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# =========================================================
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# 最终保存
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# =========================================================
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if all_clean_items:
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with open(SAVE_PATH, "w", encoding="utf-8") as f:
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json.dump(all_clean_items, f, ensure_ascii=False, indent=2)
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log("OK", f"🎉 全部抓取完成！总计成功提取 {len(all_clean_items)} 条数据。")
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log("OK", f"数据已保存至: {SAVE_PATH}")
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except Exception as e:
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log("ERR", f"发生全局异常: {e}")
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# 异常时尝试抢救数据
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if all_clean_items:
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rescue_path = OUTPUT_DIR / "receipt_details_RESCUE.json"
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with open(rescue_path, "w", encoding="utf-8") as f:
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json.dump(all_clean_items, f, ensure_ascii=False, indent=2)
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log("INFO", f"🆘 触发异常保存，抢救了 {len(all_clean_items)} 条数据。")
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finally:
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# 无论脚本正常结束还是异常退出，都强制停止监听，防止成为僵尸爬虫
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try:
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page.listen.stop()
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log("INFO", "🛑 已释放浏览器监听资源。")
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except:
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pass
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if __name__ == "__main__":
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fetch_receipt_details_full()
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