优化图片上传功能，增加重试机制和超时设置，支持批量上传并发控制

dialogue_download_change.py

@@ -127,15 +127,17 @@ def download_images():
     else:
         messagebox.showwarning("警告", "没有图片被下载")
 
-def upload_image_to_lsky_pro(image_path):
-    """上传图片到Lsky Pro图床"""
+def upload_image_to_lsky_pro(image_path, retries=3, timeout=30):
+    """上传图片到Lsky Pro图床，增加重试机制和超时设置"""
+    for attempt in range(retries):
+        try:
             with open(image_path, 'rb') as img_file:
                 files = {'file': img_file}
                 headers = {
                     'Authorization': f'Bearer {token}',
                     'Accept': 'application/json'
                 }
-        response = requests.post(f'{lsky_pro_url}{upload_endpoint}', files=files, headers=headers)
+                response = requests.post(f'{lsky_pro_url}{upload_endpoint}', files=files, headers=headers, timeout=timeout)
                 if response.status_code == 200:
                     try:
                         data = response.json()
@@ -143,6 +145,9 @@ def upload_image_to_lsky_pro(image_path):
                             return data['data']['links']['url']
                     except:
                         pass
+        except requests.exceptions.RequestException as e:
+            print(f"上传失败，重试 {attempt + 1}/{retries}: {str(e)}")
+            time.sleep(3)  # 重试前等待3秒
     return None
 
 
@@ -309,24 +314,18 @@ def download_and_upload_images():
     except Exception as e:
         messagebox.showerror("错误", f"处理过程中出错: {str(e)}")
 
+def upload_images_batch_files(file_paths, max_concurrent_uploads=5):
+    """批量上传图片，限制并发上传数量"""
+    from concurrent.futures import ThreadPoolExecutor, as_completed
 
-
-
-def upload_images_batch_files(file_paths):
-       # """ 你的图片上传逻辑（需自行实现） """
-    for file_path in file_paths:
-        # 这里添加处理每个文件的逻辑
-        if not file_path or not os.path.isfile(file_path):
-            messagebox.showwarning("警告", "请选择有效的Markdown文件。")
-            return
-        
-        print(f"Processing: {file_path}")
-        process_image_file(file_path)
-
-        # 示例：读取markdown文件内容
-        # with open(file_path, 'r') as f:
-        #     content = f.read()
-            # 添加你的图片上传逻辑...
+    with ThreadPoolExecutor(max_workers=max_concurrent_uploads) as executor:
+        futures = {executor.submit(process_image_file, file_path): file_path for file_path in file_paths}
+        for future in as_completed(futures):
+            file_path = futures[future]
+            try:
+                future.result()
+            except Exception as e:
+                print(f"处理文件 {file_path} 时出错: {str(e)}")
 
 def select_files():
     root = tk.Tk()