Stabilize patrol delete automation against delayed Amazon UI

The patrol-delete flow now waits for country and listing-status controls before acting, uses the dedicated PatrolDeleteTask entry point, and includes the browser helper scripts required by the bulk-delete path. Tests cover delayed dropdown readiness, payload rejection/retry behavior, complete-draft normalization, filtered bulk deletion, and asset fallback lookup.

Constraint: Amazon listing UI exposes status controls through dynamic KAT components and delayed option rendering

Rejected: Keep row-by-row delete flow | bulk selection is the current implemented path and is covered by the added helper scripts

Confidence: high

Scope-risk: moderate

Directive: Do not remove the patrol_delete JS helper files without checking app/amazon/patrol_delete.py script loading

Tested: uv run --group dev pytest tests\\test_amazon_base.py tests\\test_patrol_delete.py

Tested: uv run python -m py_compile amazon\\base.py amazon\\main.py blueprints\\main.py

Not-tested: Real Amazon Seller Central browser session

app/amazon/main.py

@@ -4,17 +4,17 @@ import requests
 from datetime import datetime
 from typing import Dict, Any, List
 from concurrent.futures import ThreadPoolExecutor, as_completed
-from config import JSON_TASK_QUEUE, runing_task, runing_shop, DELETE_BRAND_API_BASE, ZN_COMPANY, ZN_USERNAME, ZN_PASSWORD
-from amazon.del_brand import AmazoneDriver, kill_process
-from amazon.approve import ApproveTask
-from amazon.match_action import MatchTak
-from amazon.price_match import PriceTask
-from amazon.asin_status import StatusTask
-from amazon.patrol_delete import ProductTask
-from amazon.detail_spider import SpiderTask
-
-
-from amazon.tool import get_shop_info,show_notification
+from config import JSON_TASK_QUEUE, runing_task, runing_shop, DELETE_BRAND_API_BASE, ZN_COMPANY, ZN_USERNAME, ZN_PASSWORD
+from amazon.del_brand import AmazoneDriver, kill_process
+from amazon.approve import ApproveTask
+from amazon.match_action import MatchTak
+from amazon.price_match import PriceTask
+from amazon.asin_status import StatusTask
+from amazon.patrol_delete import PatrolDeleteTask
+from amazon.detail_spider import SpiderTask
+
+
+from amazon.tool import get_shop_info,show_notification
 
 
 class TaskMonitor:
@@ -55,15 +55,15 @@ class TaskMonitor:
         self.executor = ThreadPoolExecutor(max_workers=self.max_workers)
         futures = []  # 保存所有提交的任务Future对象
         
-        task_type_info = {
-            "product-risk-resolve-run" : "产品风险审批",
-            "shop-match-run" : "匹配价格",
-            "price-track-run" : "跟价",
-            "query-asin-run" : "状态查询",
-            "patrol-delete-run" : "巡店删除",
-            "appearance-patent-run" : "亚马逊采集",
-        }
-        try:
+        task_type_info = {
+            "product-risk-resolve-run" : "产品风险审批",
+            "shop-match-run" : "匹配价格",
+            "price-track-run" : "跟价",
+            "query-asin-run" : "状态查询",
+            "patrol-delete-run" : "巡店删除",
+            "appearance-patent-run" : "亚马逊采集",
+        }
+        try:
             while self.running:
                 try:
                     # 使用较长超时时间等待任务，减少空等待异常
@@ -125,14 +125,14 @@ class TaskMonitor:
             task_data: 任务数据
         """
         try:
-            TASK_INFO = {
-                "产品风险审批" : ApproveTask,
-                "匹配价格" : MatchTak,
-                "跟价" : PriceTask,
-                "状态查询" : StatusTask,
-                "巡店删除" : ProductTask,
-                "亚马逊采集" : SpiderTask,
-            }
+            TASK_INFO = {
+                "产品风险审批" : ApproveTask,
+                "匹配价格" : MatchTak,
+                "跟价" : PriceTask,
+                "状态查询" : StatusTask,
+                "巡店删除" : PatrolDeleteTask,
+                "亚马逊采集" : SpiderTask,
+            }
             self.log(f"线程 {id(task_data)} 开始处理产品风险审批任务...")
             # 创建ApproveTask实例并处理任务
             TASK_CLS = TASK_INFO[TASK_TYPE]  # 根据任务类型选择处理类，默认为ApproveTask