modified: .env

modified:   amazon/approve.py
	modified:   amazon/chrome_base.py
	modified:   amazon/detail_spider.py
	modified:   amazon/main.py
	modified:   amazon/price_match.py
	modified:   amazon/similar_asin.py
	modified:   amazon/tool.py
	new file:   amazon/user_data/chrome_data/BrowserMetrics-spare.pma
	new file:   amazon/user_data/chrome_data/BrowserMetrics/BrowserMetrics-69FAEF07-558.pma

app/amazon/detail_spider.py

@@ -111,15 +111,10 @@ class ChromeAmzone(ChromeAmzoneBase):
 
 
 
-class SpiderTask(TaskBase):
-    task_name = "亚马逊采集"
-    mark_name = "亚马逊采集"
-
-    def __init__(self, user_info: dict = None):
-        super().__init__(user_info)
-        self.result_api_module = "appearance-patent"
-
-    @staticmethod
+class SpiderTask(TaskBase):
+    task_name = "亚马逊采集"
+
+    @staticmethod
     def group_by_id_prefix(data):
         """
         根据每条数据的 id 字段进行分组：
@@ -164,20 +159,18 @@ class SpiderTask(TaskBase):
             })
         return normalized
 
-    def process_task(self, task_data: dict):
-        """处理审批任务主入口
-
-        Args:
-            task_data: 任务数据
-        """
-        task_id = None
-        try:
-            data = task_data.get("data", {})
-            task_id = data.get("taskId")
-            groups = self.normalize_groups(data)
-            self.result_api_module = "similar-asin" if task_data.get("type") == "similar-asin-run" else "appearance-patent"
-
-            # 用于测试
+    def process_task(self, task_data: dict):
+        """处理审批任务主入口
+
+        Args:
+            task_data: 任务数据
+        """
+        try:
+            data = task_data.get("data", {})
+            task_id = data.get("taskId")
+            groups = self.normalize_groups(data)
+
+            # 用于测试
             limit = data.get("limit", None)
 
             if not task_id:
@@ -308,22 +301,22 @@ class SpiderTask(TaskBase):
                     runing_task[task_id]["status"] = "failed"
                     runing_task[task_id]["error"] = str(e)
 
-    def post_result(self, task_id: int, chunkIndex:int,chunkTotal: int, asin: str, error:str="",
-                    item_data=None,
-                    is_done: bool = False):
-        """回传处理结果到API
-        """
+    def post_result(self, task_id: int, chunkIndex:int,chunkTotal: int, asin: str, error:str="",
+                    item_data:dict={},
+                    is_done: bool = False):
+        """回传处理结果到API
+        """
 
-        url = f"{DELETE_BRAND_API_BASE}/api/{self.result_api_module}/tasks/{task_id}/result"
+        url = f"{DELETE_BRAND_API_BASE}/api/appearance-patent/tasks/{task_id}/result"
 
-        payload ={
-          "submissionId": f"{task_id}",
-          "chunkIndex": chunkIndex,
-          "chunkTotal": chunkTotal,
-          "error": error,
-          "groups": item_data or [],
-          "done": is_done
-        }
+        payload ={
+          "submissionId": f"{task_id}",
+          "chunkIndex": chunkIndex,
+          "chunkTotal": chunkTotal,
+          "error": error,
+          "groups": item_data,
+          "done": is_done
+        }
 
         max_retries = 3
         for retry in range(max_retries):
@@ -333,13 +326,13 @@ class SpiderTask(TaskBase):
                 self.log(f"尝试回传结果 (第 {retry + 1}/{max_retries} 次)")
                 self.log(f"回传URL: {url}")
                 self.log(f"回传数据: {payload}")
-                response = requests.post(
-                    url,
-                    data=json.dumps(payload, ensure_ascii=False).encode("utf-8"),
-                    headers={"Content-Type": "application/json; charset=utf-8"},
-                    timeout=request_timeout,
-                    verify=False
-                )
+                response = requests.post(
+                    url,
+                    json=payload,
+                    headers={"Content-Type": "application/json"},
+                    timeout=request_timeout,
+                    verify=False
+                )
                 self.log(f"回传结果: {response.text}")
                 data = response.json() if response.text else {}
                 if response.status_code == 200 and isinstance(data, dict) and data.get("success"):