This commit enhances the TaskService class by reorganizing import statements, updating type hints to use `dict` instead of `Dict`, and improving the formatting of method definitions for better clarity. Additionally, minor adjustments were made to comments and error handling, contributing to a more robust and well-documented codebase.
240 lines
9.9 KiB
Python
240 lines
9.9 KiB
Python
import asyncio
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import random
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import time
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import uuid
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from models.tasks import FileTask, TaskStatus, UploadTask
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from utils.gpu_detection import get_worker_count
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class TaskService:
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def __init__(self, document_service=None, process_pool=None):
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self.document_service = document_service
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self.process_pool = process_pool
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self.task_store: dict[str, dict[str, UploadTask]] = {} # user_id -> {task_id -> UploadTask}
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self.background_tasks = set()
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if self.process_pool is None:
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raise ValueError("TaskService requires a process_pool parameter")
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async def exponential_backoff_delay(
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self, retry_count: int, base_delay: float = 1.0, max_delay: float = 60.0
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) -> None:
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"""Apply exponential backoff with jitter"""
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delay = min(base_delay * (2**retry_count) + random.uniform(0, 1), max_delay)
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await asyncio.sleep(delay)
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async def create_upload_task(
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self, user_id: str, file_paths: list, jwt_token: str = None, owner_name: str = None, owner_email: str = None
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) -> str:
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"""Create a new upload task for bulk file processing"""
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# Use default DocumentFileProcessor with user context
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from models.processors import DocumentFileProcessor
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processor = DocumentFileProcessor(
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self.document_service,
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owner_user_id=user_id,
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jwt_token=jwt_token,
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owner_name=owner_name,
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owner_email=owner_email,
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)
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return await self.create_custom_task(user_id, file_paths, processor)
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async def create_custom_task(self, user_id: str, items: list, processor) -> str:
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"""Create a new task with custom processor for any type of items"""
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task_id = str(uuid.uuid4())
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upload_task = UploadTask(
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task_id=task_id,
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total_files=len(items),
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file_tasks={str(item): FileTask(file_path=str(item)) for item in items},
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)
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# Attach the custom processor to the task
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upload_task.processor = processor
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if user_id not in self.task_store:
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self.task_store[user_id] = {}
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self.task_store[user_id][task_id] = upload_task
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# Start background processing
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background_task = asyncio.create_task(self.background_custom_processor(user_id, task_id, items))
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self.background_tasks.add(background_task)
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background_task.add_done_callback(self.background_tasks.discard)
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# Store reference to background task for cancellation
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upload_task.background_task = background_task
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return task_id
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async def background_upload_processor(self, user_id: str, task_id: str) -> None:
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"""Background task to process all files in an upload job with concurrency control"""
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try:
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upload_task = self.task_store[user_id][task_id]
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upload_task.status = TaskStatus.RUNNING
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upload_task.updated_at = time.time()
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# Process files with limited concurrency to avoid overwhelming the system
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max_workers = get_worker_count()
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semaphore = asyncio.Semaphore(max_workers * 2) # Allow 2x process pool size for async I/O
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async def process_with_semaphore(file_path: str):
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async with semaphore:
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await self.document_service.process_single_file_task(upload_task, file_path)
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tasks = [process_with_semaphore(file_path) for file_path in upload_task.file_tasks.keys()]
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await asyncio.gather(*tasks, return_exceptions=True)
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except Exception as e:
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print(f"[ERROR] Background upload processor failed for task {task_id}: {e}")
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import traceback
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traceback.print_exc()
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if user_id in self.task_store and task_id in self.task_store[user_id]:
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self.task_store[user_id][task_id].status = TaskStatus.FAILED
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self.task_store[user_id][task_id].updated_at = time.time()
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async def background_custom_processor(self, user_id: str, task_id: str, items: list) -> None:
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"""Background task to process items using custom processor"""
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try:
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upload_task = self.task_store[user_id][task_id]
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upload_task.status = TaskStatus.RUNNING
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upload_task.updated_at = time.time()
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processor = upload_task.processor
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# Process items with limited concurrency
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max_workers = get_worker_count()
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semaphore = asyncio.Semaphore(max_workers * 2)
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async def process_with_semaphore(item, item_key: str):
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async with semaphore:
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file_task = upload_task.file_tasks[item_key]
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file_task.status = TaskStatus.RUNNING
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file_task.updated_at = time.time()
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try:
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await processor.process_item(upload_task, item, file_task)
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except Exception as e:
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print(f"[ERROR] Failed to process item {item}: {e}")
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import traceback
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traceback.print_exc()
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file_task.status = TaskStatus.FAILED
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file_task.error = str(e)
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upload_task.failed_files += 1
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finally:
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file_task.updated_at = time.time()
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upload_task.processed_files += 1
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upload_task.updated_at = time.time()
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tasks = [process_with_semaphore(item, str(item)) for item in items]
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await asyncio.gather(*tasks, return_exceptions=True)
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# Mark task as completed
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upload_task.status = TaskStatus.COMPLETED
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upload_task.updated_at = time.time()
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except asyncio.CancelledError:
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print(f"[INFO] Background processor for task {task_id} was cancelled")
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if user_id in self.task_store and task_id in self.task_store[user_id]:
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# Task status and pending files already handled by cancel_task()
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pass
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raise # Re-raise to properly handle cancellation
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except Exception as e:
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print(f"[ERROR] Background custom processor failed for task {task_id}: {e}")
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import traceback
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traceback.print_exc()
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if user_id in self.task_store and task_id in self.task_store[user_id]:
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self.task_store[user_id][task_id].status = TaskStatus.FAILED
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self.task_store[user_id][task_id].updated_at = time.time()
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def get_task_status(self, user_id: str, task_id: str) -> dict:
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"""Get the status of a specific upload task"""
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if not task_id or user_id not in self.task_store or task_id not in self.task_store[user_id]:
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return None
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upload_task = self.task_store[user_id][task_id]
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file_statuses = {}
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for file_path, file_task in upload_task.file_tasks.items():
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file_statuses[file_path] = {
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"status": file_task.status.value,
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"result": file_task.result,
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"error": file_task.error,
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"retry_count": file_task.retry_count,
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"created_at": file_task.created_at,
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"updated_at": file_task.updated_at,
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}
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return {
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"task_id": upload_task.task_id,
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"status": upload_task.status.value,
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"total_files": upload_task.total_files,
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"processed_files": upload_task.processed_files,
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"successful_files": upload_task.successful_files,
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"failed_files": upload_task.failed_files,
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"created_at": upload_task.created_at,
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"updated_at": upload_task.updated_at,
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"files": file_statuses,
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}
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def get_all_tasks(self, user_id: str) -> list:
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"""Get all tasks for a user"""
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if user_id not in self.task_store:
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return []
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tasks = []
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for task_id, upload_task in self.task_store[user_id].items():
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tasks.append(
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{
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"task_id": upload_task.task_id,
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"status": upload_task.status.value,
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"total_files": upload_task.total_files,
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"processed_files": upload_task.processed_files,
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"successful_files": upload_task.successful_files,
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"failed_files": upload_task.failed_files,
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"created_at": upload_task.created_at,
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"updated_at": upload_task.updated_at,
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}
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)
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# Sort by creation time, most recent first
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tasks.sort(key=lambda x: x["created_at"], reverse=True)
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return tasks
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def cancel_task(self, user_id: str, task_id: str) -> bool:
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"""Cancel a task if it exists and is not already completed"""
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if user_id not in self.task_store or task_id not in self.task_store[user_id]:
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return False
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upload_task = self.task_store[user_id][task_id]
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# Can only cancel pending or running tasks
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if upload_task.status in [TaskStatus.COMPLETED, TaskStatus.FAILED]:
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return False
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# Cancel the background task to stop scheduling new work
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if hasattr(upload_task, "background_task") and not upload_task.background_task.done():
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upload_task.background_task.cancel()
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# Mark task as failed (cancelled)
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upload_task.status = TaskStatus.FAILED
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upload_task.updated_at = time.time()
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# Mark all pending file tasks as failed
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for file_task in upload_task.file_tasks.values():
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if file_task.status == TaskStatus.PENDING:
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file_task.status = TaskStatus.FAILED
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file_task.error = "Task cancelled by user"
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file_task.updated_at = time.time()
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upload_task.failed_files += 1
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return True
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def shutdown(self):
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"""Cleanup process pool"""
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if hasattr(self, "process_pool"):
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self.process_pool.shutdown(wait=True)
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