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scbank-sync
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fuzhongyun 2026-03-11 20:02:07 +08:00
parent 6d0cd9834c
commit 219cb8ae37
7 changed files with 2 additions and 2373 deletions
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3
.gitignore vendored
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output/
.trae/
实物系统API文档.pdf
*.pyc
*.pyc
__pycache__/

1872
order_data.json
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47
process_jsonl.py
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import json
from pathlib import Path
def process_jsonl_to_json(input_path: str, output_path: str) -> None:
"""
处理jsonl文件，提取body内容并以orderNo为维度聚合为json
"""
order_dict = {}
with open(input_path, 'r', encoding='utf-8') as f:
for line_num, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
try:
data = json.loads(line)
body = data.get('body', {})
# 处理两种body结构：包含pageDataList列表或直接是订单对象
if 'pageDataList' in body:
# 列表形式，多个订单
for order in body['pageDataList']:
order_no = order.get('orderNo')
if order_no:
order_dict[order_no] = order
else:
# 单个订单对象
order_no = body.get('orderNo')
if order_no:
order_dict[order_no] = body
except json.JSONDecodeError as e:
print(f"第{line_num}行解析失败: {e}")
continue
# 保存为json文件
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(order_dict, f, ensure_ascii=False, indent=2)
print(f"处理完成！共提取{len(order_dict)}个订单，已保存到{output_path}")
if __name__ == "__main__":
input_file = "/mnt/d/code/project/python/scbank/scbank_data.jsonl"
output_file = "/mnt/d/code/project/python/scbank/order_data.json"
process_jsonl_to_json(input_file, output_file)

60
scbank_analyze.py
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import time
from playwright.sync_api import sync_playwright
TARGET_URL = "https://jf.scbank.cn:8085/#/orderManagement/deliveryOrders"
def run():
print("[系统] 启动页面结构分析工具...")
with sync_playwright() as p:
# 1. 启动浏览器
browser = p.chromium.launch(
headless=False,
args=["--disable-blink-features=AutomationControlled"]
)
context = browser.new_context(
viewport={'width': 1920, 'height': 1080},
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"
)
page = context.new_page()
# 2. 打开页面
print("[操作] 正在打开页面，请手动登录...")
try:
page.goto(TARGET_URL)
except:
pass
print(">>> 请在浏览器中完成登录操作 <<<")
print(">>> 登录成功并看到订单列表后，脚本将自动保存页面结构供分析 <<<")
# 等待登录成功
try:
# 进入首页视为登录成功
page.wait_for_url("**/homePage", timeout=0)
print("[状态] 检测到登录成功！")
# 等待表格数据加载 (关键步骤)
print("[状态] 等待表格渲染 (10秒)...")
time.sleep(10)
# 3. 保存页面结构
print("[分析] 正在保存页面 HTML...")
html = page.content()
with open("scbank_page.html", "w", encoding="utf-8") as f:
f.write(html)
print(f"[成功] HTML 已保存至 scbank_page.html")
# 4. 保存页面截图 (辅助定位)
print("[分析] 正在保存页面截图...")
page.screenshot(path="scbank_page.png", full_page=True)
print(f"[成功] 截图已保存至 scbank_page.png")
except Exception as e:
print(f"[错误] 分析过程出错: {e}")
browser.close()
if __name__ == "__main__":
run()

214
scbank_hook.py
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import json
import time
import random
from playwright.sync_api import sync_playwright
# 目标网址
TARGET_URL = "https://jf.scbank.cn:8085/#/orderManagement/deliveryOrders"
OUTPUT_FILE = "scbank_data.jsonl"
def process_details(page):
"""
点击当前页面的所有详情按钮
基于 HTML 分析：详情按钮是 <button class="el-button--text"><span>详情</span></button>
"""
# 使用精准选择器：可见的、文本包含"详情"的 ElementUI 文字按钮
detail_selector = "button.el-button--text:has-text('详情')"
try:
# 等待按钮出现 - 这里也是人机交互，timeout=0 死等
page.wait_for_selector(detail_selector, timeout=0)
# 获取所有匹配的按钮
# 注意：ElementUI 表格若有固定列，会渲染双份表格（一份header一份body，或者一份固定列一份滚动列）
# 所以必须过滤 visible=true
buttons = page.locator(detail_selector).all()
visible_buttons = [btn for btn in buttons if btn.is_visible()]
print(f"[当前页] 发现 {len(visible_buttons)} 个可见详情按钮")
for i, btn in enumerate(visible_buttons):
try:
btn.click()
# print(f" -> 点击第 {i+1} 个详情")
# 等待数据加载 (Hook 会自动捕获)
# 随机等待
time.sleep(random.uniform(1.5, 2.5))
# 关闭详情页
# 策略：ElementUI 弹窗通常可以通过按 ESC 关闭
page.keyboard.press("Escape")
time.sleep(0.5)
except Exception as e:
print(f" [警告] 详情操作失败: {e}")
except Exception as e:
print(f"[提示] 当前页无详情按钮或加载超时: {e}")
def run():
print(f"[系统] 启动精准采集脚本...")
print(f"[系统] 数据将保存至: {OUTPUT_FILE}")
with sync_playwright() as p:
# 1. 启动浏览器
browser = p.chromium.launch(
headless=False,
args=["--disable-blink-features=AutomationControlled"]
)
context = browser.new_context(
viewport={'width': 1920, 'height': 1080},
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"
)
page = context.new_page()
# =====================================================
# 2. Hook 注入 (去噪优化版)
# =====================================================
page.add_init_script("""
const originalParse = JSON.parse;
JSON.parse = function(text, reviver) {
const data = originalParse(text, reviver);
try {
if (data && typeof data === 'object') {
const str = JSON.stringify(data);
// 【过滤噪音】排除包含 IsQX 的干扰接口 (通常用于权限检查)
if (str.includes('IsQX') || (data.body && data.body.IsQX)) {
return data;
}
// 1. 列表接口 /selectOrderlist -> 通常返回 { rows: [...], total: ... }
const isList = (data.rows && Array.isArray(data.rows) && data.rows.length > 0) ||
(data.list && Array.isArray(data.list) && data.list.length > 0);
// 2. 详情接口 /getorderdetail -> 通常返回 { orderNo: '...', ... }
// 为了防止漏掉，只要包含 orderNo 且长度足够大（排除简单的状态返回），都抓取
// 一个完整的订单详情通常包含收货人、地址、商品列表等，长度肯定超过 300 字符
const isDetail = str.includes('orderNo') && str.length > 300;
if (isList || isDetail) {
console.log('__INTERCEPTED__:' + str);
}
}
} catch (e) {}
return data;
}
""")
# =====================================================
# 3. 数据监听
# =====================================================
def handle_console(msg):
if msg.text.startswith("__INTERCEPTED__:"):
json_str = msg.text.replace("__INTERCEPTED__:", "")
try:
data = json.loads(json_str)
# 简单去重或标记
desc = "数据"
if 'rows' in data or 'list' in data:
desc = "【列表】"
elif 'orderNo' in str(data):
desc = "【详情】"
# 写入文件
with open(OUTPUT_FILE, "a", encoding="utf-8") as f:
f.write(json.dumps(data, ensure_ascii=False) + "\n")
print(f"[捕获]{desc} 长度: {len(str(data))}")
except:
pass
page.on("console", handle_console)
# =====================================================
# 4. 业务流程
# =====================================================
print(f"[操作] 正在打开页面，请手动登录...")
try:
page.goto(TARGET_URL)
except: pass
print(">>> 请在浏览器中完成登录操作 <<<")
# 等待登录成功
try:
# 进入首页视为登录成功
page.wait_for_url("**/homePage", timeout=0)
print("[状态] 检测到登录成功！")
# 1. 强制跳转到目标页面 (如果当前不在目标页)
# 有时候登录后会跳转到首页或 dashboard
if "deliveryOrders" not in page.url:
print(f"[跳转] 正在前往目标页面: {TARGET_URL}")
page.goto(TARGET_URL)
page.wait_for_load_state("domcontentloaded")
time.sleep(0.5) # 等待页面组件渲染
else:
print("[状态] 已在目标页面")
# 2. 选中“待发货”
print("[操作] 正在点击“待发货”标签页")
try:
# 定位 Tab
tab_selector = ".el-tabs__item:has-text('待发货')"
tab = page.locator(tab_selector)
if tab.count() > 0:
# 检查是否已经选中
if "is-active" in tab.get_attribute("class"):
print(" [状态] “待发货”标签页已经是选中状态")
else:
tab.click()
print("[状态] 已点击“待发货”标签页")
time.sleep(1) # 等待 Tab 切换动画
else:
print(" [警告] 未找到“待发货”标签页，跳过筛选")
except Exception as e:
print(f" [错误] 筛选操作失败 (非致命，继续尝试抓取): {e}")
except Exception as e:
print(f"[错误] 等待登录或初始化失败: {e}")
# 循环翻页
page_num = 1
while True:
print(f"\n========== 正在处理第 {page_num} 页 ==========")
# 1. 采集当前页详情
process_details(page)
# 2. 翻页逻辑
print("[翻页] 检查下一页...")
# 【精准选择器】基于 HTML 分析: ElementUI 的下一页按钮 class 为 btn-next
next_btn = page.locator(".btn-next")
# 检查按钮是否存在
if next_btn.count() == 0:
print("[结束] 未找到下一页按钮 (.btn-next)")
break
# 检查是否禁用 (disabled 属性)
if next_btn.is_disabled():
print("[结束] 下一页按钮已禁用，采集完成。")
break
try:
next_btn.click()
page_num += 1
print(f"[操作] 翻页 -> 第 {page_num} 页")
time.sleep(3) # 等待新页面列表加载
except Exception as e:
print(f"[错误] 翻页失败: {e}")
break
print(f"\n[系统] 任务完成。数据已保存至 {OUTPUT_FILE}")
time.sleep(5)
browser.close()
if __name__ == "__main__":
run()

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scbank_page.html
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scbank_page.png
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