try

backend/config/settings/base.py

@@ -263,13 +263,28 @@ if not EMAIL_HOST:
 MEDIA_ROOT = env("MEDIA_ROOT", path.join(BASE_DIR, "media"))
 MEDIA_URL = "/media/"
 
-# Filepond settings
+# Ensure media directory exists
+import os
+if not os.path.exists(MEDIA_ROOT):
+    os.makedirs(MEDIA_ROOT, exist_ok=True)
+
+# Filepond settings - place this AFTER MEDIA_ROOT definition
 DJANGO_DRF_FILEPOND_UPLOAD_TMP = path.join(BASE_DIR, "filepond-temp-uploads")
-DJANGO_DRF_FILEPOND_FILE_STORE_PATH = MEDIA_ROOT
+DJANGO_DRF_FILEPOND_FILE_STORE_PATH = MEDIA_ROOT  # This ensures the path is available
+
+# Ensure filepond temp directory exists
+if not os.path.exists(DJANGO_DRF_FILEPOND_UPLOAD_TMP):
+    os.makedirs(DJANGO_DRF_FILEPOND_UPLOAD_TMP, exist_ok=True)
 
 # File upload setting
 MAX_UPLOAD_SIZE = env.int("MAX_UPLOAD_SIZE", pow(1024, 3))  # default: 1GB per a file
 ENABLE_FILE_TYPE_CHECK = env.bool("ENABLE_FILE_TYPE_CHECK", False)
+# Add temporary file handling settings
+FILE_UPLOAD_HANDLERS = [
+    'django.core.files.uploadhandler.MemoryFileUploadHandler',
+    'django.core.files.uploadhandler.TemporaryFileUploadHandler',
+]
+FILE_UPLOAD_MAX_MEMORY_SIZE = 2621440  # 2.5 MB
 
 # Celery settings
 DJANGO_CELERY_RESULTS_TASK_ID_MAX_LENGTH = 191
@@ -289,29 +304,32 @@ except EnvError:
 CELERY_ACCEPT_CONTENT = ["application/json"]
 CELERY_TASK_SERIALIZER = "json"
 CELERY_RESULT_SERIALIZER = "json"
+CELERY_TASK_TIME_LIMIT = 600  # Add timeout for tasks
+CELERY_TASK_SOFT_TIME_LIMIT = 500
 
-# Fix for macOS Celery fork() issue
+# Fix for Windows and macOS Celery issues
 import os
 import platform
 if platform.system() == 'Darwin':  # macOS
     os.environ['OBJC_DISABLE_INITIALIZE_FORK_SAFETY'] = 'YES'
+elif platform.system() == 'Windows':  # Windows
+    # Windows-specific settings
+    os.environ['FORKED_BY_MULTIPROCESSING'] = '1'
 
-# Configure Celery to use 'spawn' instead of 'fork' on macOS
+# Configure Celery worker settings
 CELERY_WORKER_CONCURRENCY = env.int('CELERY_WORKER_CONCURRENCY', 2)
-if platform.system() == 'Darwin':
-    CELERY_TASK_CREATE_MISSING_QUEUES = True
-    CELERY_WORKER_MAX_TASKS_PER_CHILD = 1000
-    CELERY_WORKER_PREFETCH_MULTIPLIER = 1
-    CELERY_WORKER_FORCE_EXECV = True
-    # Make Celery explicitly use spawn method on macOS
-    CELERY_WORKER_POOL = 'solo'  # Use 'solo' pool to avoid forking issues
-    
-    # SQLAlchemy broker options (remove incompatible options)
-    # CELERY_BROKER_TRANSPORT_OPTIONS = {'visibility_timeout': 3600}  # Remove this line
+CELERY_TASK_CREATE_MISSING_QUEUES = True
+CELERY_WORKER_MAX_TASKS_PER_CHILD = 1000
+CELERY_WORKER_PREFETCH_MULTIPLIER = 1
+CELERY_WORKER_FORCE_EXECV = True
+
+# Use appropriate pool based on platform
+if platform.system() in ['Darwin', 'Windows']:
+    CELERY_WORKER_POOL = 'solo'  # Use 'solo' pool to avoid forking issues on macOS and Windows
     
     # Also set these for command-line options
     import multiprocessing
-    multiprocessing.set_start_method('spawn')
+    multiprocessing.set_start_method('spawn', force=True)
 
 DEFAULT_AUTO_FIELD = "django.db.models.AutoField"
 

frontend/repositories/upload/apiParseRepository.ts

@@ -17,12 +17,25 @@ export class APIParseRepository {
       uploadIds,
       ...option
     }
-    const response = await this.request.post(url, data)
-    return response.data.task_id
+    // Add timeout and error handling
+    try {
+      const response = await this.request.post(url, data, {
+        timeout: 60000, // 60 seconds timeout
+      })
+      return response.data.task_id
+    } catch (error) {
+      console.error('Upload analysis error:', error)
+      throw error
+    }
   }
 
   revert(serverId: string): void {
     const url = `/fp/revert/`
-    this.request.delete(url, { data: serverId })
+    // Use proper format for DELETE request
+    try {
+      this.request.delete(url, { data: { id: serverId } })
+    } catch (error) {
+      console.error('Revert error:', error)
+    }
   }
 }