Files
MemoryBear/api/app/celery_app.py
Ke Sun 283c64a358 refactor(memory): restructure memory system and improve configuration management
- Remove deprecated main.py entry point from memory module
- Reorganize imports across controllers and services for consistency
- Update emotion controller to pass db session instead of config_id to services
- Enhance memory agent controller with db session parameter for status_type and user_profile endpoints
- Refactor memory agent service to accept db parameter in classify_message_type method
- Improve configuration handling in celery_app by removing automatic database reload
- Update all memory-related services to use centralized config management
- Standardize import ordering and remove unused imports across 50+ files
- Add pilot_run_service for new pilot execution workflow
- Refactor extraction engine, reflection engine, and search services for better modularity
- Update LLM utilities and embedder configuration for improved flexibility
- Enhance type classifier and verification tools with better error handling
- Improve memory evaluation modules (LOCOMO, LongMemEval, MemSciQA) with consistent patterns
2025-12-23 17:17:04 +08:00

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import os
from datetime import timedelta
from urllib.parse import quote
from app.core.config import settings
from celery import Celery
# 创建 Celery 应用实例
# broker: 任务队列(使用 Redis DB 0
# backend: 结果存储(使用 Redis DB 10
celery_app = Celery(
"redbear_tasks",
broker=f"redis://:{quote(settings.REDIS_PASSWORD)}@{settings.REDIS_HOST}:{settings.REDIS_PORT}/{settings.CELERY_BROKER}",
backend=f"redis://:{quote(settings.REDIS_PASSWORD)}@{settings.REDIS_HOST}:{settings.REDIS_PORT}/{settings.CELERY_BACKEND}",
)
# 配置使用本地队列,避免与远程 worker 冲突
celery_app.conf.task_default_queue = 'localhost_test_wyl'
celery_app.conf.task_default_exchange = 'localhost_test_wyl'
celery_app.conf.task_default_routing_key = 'localhost_test_wyl'
# macOS 兼容性配置
import platform
if platform.system() == 'Darwin': # macOS
# 设置环境变量解决 fork 问题
os.environ.setdefault('OBJC_DISABLE_INITIALIZE_FORK_SAFETY', 'YES')
# 使用 solo 池避免多进程问题
celery_app.conf.worker_pool = 'solo'
# 设置唯一的节点名称
import socket
import time
hostname = socket.gethostname()
timestamp = int(time.time())
celery_app.conf.worker_name = f"celery@{hostname}-{timestamp}"
# Celery 配置
celery_app.conf.update(
# 序列化
task_serializer='json',
accept_content=['json'],
result_serializer='json',
# 时区
timezone='Asia/Shanghai',
enable_utc=True,
# 任务追踪
task_track_started=True,
task_ignore_result=False,
# 超时设置
task_time_limit=30 * 60, # 30 分钟硬超时
task_soft_time_limit=25 * 60, # 25 分钟软超时
# Worker 设置 - 针对 macOS 优化
worker_prefetch_multiplier=1, # 减少预取任务数,避免内存堆积
worker_max_tasks_per_child=10, # 大幅减少每个 worker 执行的任务数,频繁重启防止内存泄漏
worker_max_memory_per_child=200000, # 200MB 内存限制,超过后重启 worker
# 结果过期时间
result_expires=3600, # 结果保存 1 小时
# 任务确认设置
task_acks_late=True, # 任务完成后才确认,避免任务丢失
worker_disable_rate_limits=True, # 禁用速率限制
# 任务路由(可选,用于不同队列)
# task_routes={
# 'app.core.rag.tasks.parse_document': {'queue': 'document_processing'},
# 'app.core.memory.agent.read_message': {'queue': 'memory_processing'},
# 'app.core.memory.agent.write_message': {'queue': 'memory_processing'},
# 'tasks.process_item': {'queue': 'default'},
# },
)
# 自动发现任务模块
celery_app.autodiscover_tasks(['app'])
# Celery Beat schedule for periodic tasks
reflection_schedule = timedelta(seconds=settings.REFLECTION_INTERVAL_SECONDS)
health_schedule = timedelta(seconds=settings.HEALTH_CHECK_SECONDS)
memory_increment_schedule = timedelta(hours=settings.MEMORY_INCREMENT_INTERVAL_HOURS)
workspace_reflection_schedule = timedelta(seconds=30) # 每30秒运行一次settings.REFLECTION_INTERVAL_TIME
# 构建定时任务配置
beat_schedule_config = {
# "check-read-service": {
# "task": "app.core.memory.agent.health.check_read_service",
# "schedule": health_schedule,
# "args": (),
# },
"run-workspace-reflection": {
"task": "app.tasks.workspace_reflection_task",
"schedule": workspace_reflection_schedule,
"args": (),
},
}
# 如果配置了默认工作空间ID则添加记忆总量统计任务
if settings.DEFAULT_WORKSPACE_ID:
beat_schedule_config["write-total-memory"] = {
"task": "app.controllers.memory_storage_controller.search_all",
"schedule": memory_increment_schedule,
"kwargs": {
"workspace_id": settings.DEFAULT_WORKSPACE_ID,
},
}
celery_app.conf.beat_schedule = beat_schedule_config