修复重复初始化问题 - 统一Redis连接管理

主要修复:
1. 创建统一Redis连接管理器 (src/core/redis_manager.py)
   - 单例模式管理所有Redis连接
   - 懒加载连接,避免重复初始化
   - 线程安全的连接管理

2. 更新所有Redis使用模块
   - TokenMonitor: 使用统一Redis管理器
   - AISuccessMonitor: 移除重复Redis连接代码
   - SystemOptimizer: 统一Redis连接管理
   - ConversationHistoryManager: 使用统一Redis管理器

3. 修复DialogueManager重复初始化
   - 使用懒加载属性(@property)避免重复创建监控器
   - 只有在实际使用时才创建实例

4. 优化启动性能
   - 避免重复的Redis连接创建
   - 消除重复的TSP助手初始化
   - 减少启动时的日志输出

技术改进:
- 单例模式Redis管理器
- 懒加载组件初始化
- 统一连接管理
- 线程安全设计

解决启动卡顿问题,提升系统响应速度
This commit is contained in:
赵杰 Jie Zhao (雄狮汽车科技)
2025-09-18 19:57:35 +01:00
parent 228e9b838f
commit 4b4bd683d9
11 changed files with 318 additions and 169 deletions

View File

@@ -10,11 +10,11 @@ from typing import Dict, List, Optional, Any, Tuple
from datetime import datetime, timedelta
from dataclasses import dataclass
from collections import defaultdict
import redis
import time
from ..core.database import db_manager
from ..core.models import Alert
from ..core.redis_manager import redis_manager
from ..config.config import Config
logger = logging.getLogger(__name__)
@@ -38,8 +38,7 @@ class AISuccessMonitor:
"""AI调用成功率监控器"""
def __init__(self):
self.redis_client = None
self._init_redis()
# 使用统一的Redis管理器
# 监控阈值
self.thresholds = {
@@ -58,23 +57,9 @@ class AISuccessMonitor:
"poor": {"success_rate": 0.85, "response_time": 12.0}
}
def _init_redis(self):
"""初始化Redis连接"""
try:
self.redis_client = redis.Redis(
host='43.134.68.207',
port=6379,
password='123456',
decode_responses=True,
socket_connect_timeout=5,
socket_timeout=5,
retry_on_timeout=True
)
self.redis_client.ping()
logger.info("AI成功率监控Redis连接成功")
except Exception as e:
logger.error(f"AI成功率监控Redis连接失败: {e}")
self.redis_client = None
def _get_redis_client(self):
"""获取Redis客户端"""
return redis_manager.get_connection()
def record_api_call(
self,

View File

@@ -10,10 +10,9 @@ from typing import Dict, List, Optional, Any, Tuple
from datetime import datetime, timedelta
from dataclasses import dataclass
from collections import defaultdict
import redis
from ..core.database import db_manager
from ..core.models import Conversation
from ..core.redis_manager import redis_manager
from ..config.config import Config
logger = logging.getLogger(__name__)
@@ -37,8 +36,7 @@ class TokenMonitor:
"""Token消耗监控器"""
def __init__(self):
self.redis_client = None
self._init_redis()
# 使用统一的Redis管理器
# Token价格配置每1000个token的价格单位
self.token_prices = {
@@ -64,23 +62,9 @@ class TokenMonitor:
"error_rate_threshold": 0.1 # 错误率阈值
}
def _init_redis(self):
"""初始化Redis连接"""
try:
self.redis_client = redis.Redis(
host='43.134.68.207',
port=6379,
password='123456',
decode_responses=True,
socket_connect_timeout=5,
socket_timeout=5,
retry_on_timeout=True
)
self.redis_client.ping()
logger.info("Token监控Redis连接成功")
except Exception as e:
logger.error(f"Token监控Redis连接失败: {e}")
self.redis_client = None
def _get_redis_client(self):
"""获取Redis客户端"""
return redis_manager.get_connection()
def record_token_usage(
self,
@@ -141,7 +125,9 @@ class TokenMonitor:
def _save_to_redis(self, usage: TokenUsage):
"""保存到Redis"""
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return
try:
@@ -161,24 +147,24 @@ class TokenMonitor:
}
# 保存到多个键
self.redis_client.zadd(
redis_client.zadd(
"token_usage:daily",
{json.dumps(usage_data, ensure_ascii=False): timestamp}
)
self.redis_client.zadd(
redis_client.zadd(
f"token_usage:user:{usage.user_id}",
{json.dumps(usage_data, ensure_ascii=False): timestamp}
)
if usage.work_order_id:
self.redis_client.zadd(
redis_client.zadd(
f"token_usage:work_order:{usage.work_order_id}",
{json.dumps(usage_data, ensure_ascii=False): timestamp}
)
# 设置过期时间保留30天
self.redis_client.expire("token_usage:daily", 30 * 24 * 3600)
redis_client.expire("token_usage:daily", 30 * 24 * 3600)
except Exception as e:
logger.error(f"保存Token使用到Redis失败: {e}")
@@ -241,14 +227,16 @@ class TokenMonitor:
def get_daily_cost(self, date: datetime.date) -> float:
"""获取指定日期的成本"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return 0.0
start_time = datetime.combine(date, datetime.min.time()).timestamp()
end_time = datetime.combine(date, datetime.max.time()).timestamp()
# 从Redis获取当日数据
usage_records = self.redis_client.zrangebyscore(
usage_records = redis_client.zrangebyscore(
"token_usage:daily",
start_time,
end_time,
@@ -272,7 +260,9 @@ class TokenMonitor:
def get_hourly_cost(self, timestamp: datetime) -> float:
"""获取指定小时的成本"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return 0.0
# 获取当前小时的数据
@@ -282,7 +272,7 @@ class TokenMonitor:
start_time = hour_start.timestamp()
end_time = hour_end.timestamp()
usage_records = self.redis_client.zrangebyscore(
usage_records = redis_client.zrangebyscore(
"token_usage:daily",
start_time,
end_time,
@@ -306,13 +296,15 @@ class TokenMonitor:
def get_user_token_stats(self, user_id: str, days: int = 7) -> Dict[str, Any]:
"""获取用户Token使用统计"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return {}
end_time = datetime.now().timestamp()
start_time = (datetime.now() - timedelta(days=days)).timestamp()
usage_records = self.redis_client.zrangebyscore(
usage_records = redis_client.zrangebyscore(
f"token_usage:user:{user_id}",
start_time,
end_time,
@@ -378,13 +370,15 @@ class TokenMonitor:
def get_system_token_stats(self, days: int = 7) -> Dict[str, Any]:
"""获取系统Token使用统计"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return {}
end_time = datetime.now().timestamp()
start_time = (datetime.now() - timedelta(days=days)).timestamp()
usage_records = self.redis_client.zrangebyscore(
usage_records = redis_client.zrangebyscore(
"token_usage:daily",
start_time,
end_time,
@@ -466,27 +460,29 @@ class TokenMonitor:
def cleanup_old_data(self, days: int = 30) -> int:
"""清理旧数据"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return 0
cutoff_time = (datetime.now() - timedelta(days=days)).timestamp()
# 清理每日数据
removed_count = self.redis_client.zremrangebyscore(
removed_count = redis_client.zremrangebyscore(
"token_usage:daily",
0,
cutoff_time
)
# 清理用户数据
user_keys = self.redis_client.keys("token_usage:user:*")
user_keys = redis_client.keys("token_usage:user:*")
for key in user_keys:
self.redis_client.zremrangebyscore(key, 0, cutoff_time)
redis_client.zremrangebyscore(key, 0, cutoff_time)
# 清理工单数据
work_order_keys = self.redis_client.keys("token_usage:work_order:*")
work_order_keys = redis_client.keys("token_usage:work_order:*")
for key in work_order_keys:
self.redis_client.zremrangebyscore(key, 0, cutoff_time)
redis_client.zremrangebyscore(key, 0, cutoff_time)
logger.info(f"清理Token监控数据成功: 数量={removed_count}")
return removed_count

View File

@@ -22,21 +22,32 @@ class CacheManager:
self.default_ttl = 60 # 默认1分钟过期提高响应速度
self.max_memory_size = 2000 # 增加内存缓存条目数
# Redis支持可选
# Redis支持可选- 延迟连接
self.redis_client = None
if redis_url:
self.redis_url = redis_url
self.redis_connected = False
def _ensure_redis_connection(self):
"""确保Redis连接延迟连接"""
if self.redis_url and not self.redis_connected:
try:
import redis
self.redis_client = redis.from_url(redis_url)
self.redis_client = redis.from_url(self.redis_url, socket_connect_timeout=2, socket_timeout=2)
self.redis_client.ping() # 测试连接
self.redis_connected = True
logger.info("Redis缓存已启用")
except ImportError:
logger.warning("Redis未安装使用内存缓存")
logger.debug("Redis未安装使用内存缓存")
except Exception as e:
logger.warning(f"Redis连接失败: {e},使用内存缓存")
logger.debug(f"Redis连接失败: {e},使用内存缓存")
self.redis_client = None
def get(self, key: str) -> Optional[Any]:
"""获取缓存值"""
try:
# 确保Redis连接
self._ensure_redis_connection()
# 先尝试Redis
if self.redis_client:
try:
@@ -66,6 +77,9 @@ class CacheManager:
ttl = ttl or self.default_ttl
expires_at = time.time() + ttl
# 确保Redis连接
self._ensure_redis_connection()
# 先尝试Redis
if self.redis_client:
try:

81
src/core/redis_manager.py Normal file
View File

@@ -0,0 +1,81 @@
# -*- coding: utf-8 -*-
"""
Redis连接管理器
统一管理所有Redis连接避免重复连接
"""
import redis
import logging
import threading
from typing import Optional
logger = logging.getLogger(__name__)
class RedisManager:
"""Redis连接管理器单例模式"""
_instance = None
_lock = threading.Lock()
def __new__(cls):
if cls._instance is None:
with cls._lock:
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self):
if self._initialized:
return
self.redis_client = None
self.connected = False
self.connection_lock = threading.Lock()
self._initialized = True
# Redis配置
self.config = {
'host': '43.134.68.207',
'port': 6379,
'password': '123456',
'decode_responses': True,
'socket_connect_timeout': 2,
'socket_timeout': 2,
'retry_on_timeout': True
}
def get_connection(self) -> Optional[redis.Redis]:
"""获取Redis连接懒加载"""
with self.connection_lock:
if not self.connected:
try:
self.redis_client = redis.Redis(**self.config)
self.redis_client.ping()
self.connected = True
logger.info("Redis连接成功")
except Exception as e:
logger.debug(f"Redis连接失败: {e}")
self.redis_client = None
self.connected = False
return self.redis_client
def is_connected(self) -> bool:
"""检查Redis是否已连接"""
return self.connected and self.redis_client is not None
def close_connection(self):
"""关闭Redis连接"""
with self.connection_lock:
if self.redis_client:
try:
self.redis_client.close()
except Exception as e:
logger.debug(f"关闭Redis连接失败: {e}")
finally:
self.redis_client = None
self.connected = False
# 全局Redis管理器实例
redis_manager = RedisManager()

View File

@@ -0,0 +1,65 @@
# -*- coding: utf-8 -*-
"""
启动优化配置
控制启动时的初始化行为,避免重复初始化和阻塞
"""
class StartupConfig:
"""启动配置类"""
# 启动优化设置
SKIP_SYSTEM_CHECK = True # 跳过系统检查
DELAY_REDIS_CONNECTION = True # 延迟Redis连接
DELAY_MONITORING_START = True # 延迟监控启动
DELAY_AGENT_INIT = True # 延迟Agent初始化
# 延迟时间(秒)
REDIS_CONNECTION_DELAY = 2 # Redis连接延迟
MONITORING_START_DELAY = 5 # 监控启动延迟
AGENT_INIT_DELAY = 3 # Agent初始化延迟
# 连接超时设置
REDIS_CONNECT_TIMEOUT = 2 # Redis连接超时
REDIS_SOCKET_TIMEOUT = 2 # Redis Socket超时
DATABASE_CONNECT_TIMEOUT = 5 # 数据库连接超时
# 日志级别控制
REDIS_LOG_LEVEL = "DEBUG" # Redis日志级别
STARTUP_LOG_LEVEL = "INFO" # 启动日志级别
@classmethod
def should_skip_system_check(cls):
"""是否跳过系统检查"""
return cls.SKIP_SYSTEM_CHECK
@classmethod
def should_delay_redis_connection(cls):
"""是否延迟Redis连接"""
return cls.DELAY_REDIS_CONNECTION
@classmethod
def should_delay_monitoring_start(cls):
"""是否延迟监控启动"""
return cls.DELAY_MONITORING_START
@classmethod
def should_delay_agent_init(cls):
"""是否延迟Agent初始化"""
return cls.DELAY_AGENT_INIT
@classmethod
def get_redis_timeout_config(cls):
"""获取Redis超时配置"""
return {
'socket_connect_timeout': cls.REDIS_CONNECT_TIMEOUT,
'socket_timeout': cls.REDIS_SOCKET_TIMEOUT
}
@classmethod
def get_delay_times(cls):
"""获取延迟时间配置"""
return {
'redis_connection': cls.REDIS_CONNECTION_DELAY,
'monitoring_start': cls.MONITORING_START_DELAY,
'agent_init': cls.AGENT_INIT_DELAY
}

View File

@@ -11,10 +11,9 @@ from typing import Dict, List, Optional, Any
from datetime import datetime, timedelta
from collections import defaultdict, deque
import psutil
import redis
from ..config.config import Config
from .database import db_manager
from .redis_manager import redis_manager
logger = logging.getLogger(__name__)
@@ -22,7 +21,7 @@ class SystemOptimizer:
"""系统优化器"""
def __init__(self):
self.redis_client = None
# 使用统一的Redis管理器
self._init_redis()
# 性能监控
@@ -52,26 +51,12 @@ class SystemOptimizer:
"max_concurrent_users": 50 # 最大并发用户数(调整为更合理的值)
}
# 启动监控线程
self._start_monitoring()
# 延迟启动监控线程(避免启动时阻塞)
threading.Timer(5.0, self._start_monitoring).start()
def _init_redis(self):
"""初始化Redis连接"""
try:
self.redis_client = redis.Redis(
host='43.134.68.207',
port=6379,
password='123456',
decode_responses=True,
socket_connect_timeout=5,
socket_timeout=5,
retry_on_timeout=True
)
self.redis_client.ping()
logger.info("系统优化Redis连接成功")
except Exception as e:
logger.error(f"系统优化Redis连接失败: {e}")
self.redis_client = None
def _get_redis_client(self):
"""获取Redis客户端"""
return redis_manager.get_connection()
def _start_monitoring(self):
"""启动监控线程"""
@@ -140,12 +125,13 @@ class SystemOptimizer:
self.performance_metrics.append(metrics)
# 保存到Redis
if self.redis_client:
self.redis_client.lpush(
redis_client = self._get_redis_client()
if redis_client:
redis_client.lpush(
"system_metrics",
str(metrics)
)
self.redis_client.ltrim("system_metrics", 0, 999) # 保留最近1000条
redis_client.ltrim("system_metrics", 0, 999) # 保留最近1000条
except Exception as e:
logger.error(f"收集系统指标失败: {e}")
@@ -240,7 +226,9 @@ class SystemOptimizer:
def check_rate_limit(self, user_id: str) -> bool:
"""检查用户请求频率限制"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return True # Redis不可用时允许请求
now = datetime.now()
@@ -249,32 +237,32 @@ class SystemOptimizer:
day_key = f"rate_limit:{user_id}:{now.strftime('%Y%m%d')}"
# 检查每分钟限制
minute_count = self.redis_client.get(minute_key) or 0
minute_count = redis_client.get(minute_key) or 0
if int(minute_count) >= self.rate_limits["per_minute"]:
logger.warning(f"用户 {user_id} 触发每分钟频率限制")
return False
# 检查每小时限制
hour_count = self.redis_client.get(hour_key) or 0
hour_count = redis_client.get(hour_key) or 0
if int(hour_count) >= self.rate_limits["per_hour"]:
logger.warning(f"用户 {user_id} 触发每小时频率限制")
return False
# 检查每日限制
day_count = self.redis_client.get(day_key) or 0
day_count = redis_client.get(day_key) or 0
if int(day_count) >= self.rate_limits["per_day"]:
logger.warning(f"用户 {user_id} 触发每日频率限制")
return False
# 增加计数
self.redis_client.incr(minute_key)
self.redis_client.incr(hour_key)
self.redis_client.incr(day_key)
redis_client.incr(minute_key)
redis_client.incr(hour_key)
redis_client.incr(day_key)
# 设置过期时间
self.redis_client.expire(minute_key, 60)
self.redis_client.expire(hour_key, 3600)
self.redis_client.expire(day_key, 86400)
redis_client.expire(minute_key, 60)
redis_client.expire(hour_key, 3600)
redis_client.expire(day_key, 86400)
return True
@@ -324,7 +312,9 @@ class SystemOptimizer:
def check_cost_limit(self, estimated_cost: float) -> bool:
"""检查成本限制"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return True # Redis不可用时允许请求
now = datetime.now()
@@ -337,24 +327,24 @@ class SystemOptimizer:
return False
# 检查每小时成本
hour_cost = float(self.redis_client.get(hour_key) or 0)
hour_cost = float(redis_client.get(hour_key) or 0)
if hour_cost + estimated_cost > self.cost_limits["hourly"]:
logger.warning(f"每小时成本超限: {hour_cost + estimated_cost:.4f} > {self.cost_limits['hourly']}")
return False
# 检查每日成本
day_cost = float(self.redis_client.get(day_key) or 0)
day_cost = float(redis_client.get(day_key) or 0)
if day_cost + estimated_cost > self.cost_limits["daily"]:
logger.warning(f"每日成本超限: {day_cost + estimated_cost:.4f} > {self.cost_limits['daily']}")
return False
# 增加成本计数
self.redis_client.incrbyfloat(hour_key, estimated_cost)
self.redis_client.incrbyfloat(day_key, estimated_cost)
redis_client.incrbyfloat(hour_key, estimated_cost)
redis_client.incrbyfloat(day_key, estimated_cost)
# 设置过期时间
self.redis_client.expire(hour_key, 3600)
self.redis_client.expire(day_key, 86400)
redis_client.expire(hour_key, 3600)
redis_client.expire(day_key, 86400)
return True
@@ -455,27 +445,29 @@ class SystemOptimizer:
def cleanup_old_metrics(self, days: int = 7) -> int:
"""清理旧指标数据"""
try:
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return 0
cutoff_time = (datetime.now() - timedelta(days=days)).timestamp()
# 清理系统指标
removed_count = self.redis_client.zremrangebyscore(
removed_count = redis_client.zremrangebyscore(
"system_metrics",
0,
cutoff_time
)
# 清理频率限制数据
rate_limit_keys = self.redis_client.keys("rate_limit:*")
rate_limit_keys = redis_client.keys("rate_limit:*")
for key in rate_limit_keys:
self.redis_client.delete(key)
redis_client.delete(key)
# 清理成本限制数据
cost_limit_keys = self.redis_client.keys("cost_limit:*")
cost_limit_keys = redis_client.keys("cost_limit:*")
for key in cost_limit_keys:
self.redis_client.delete(key)
redis_client.delete(key)
logger.info(f"清理系统优化数据成功: 数量={removed_count}")
return removed_count

View File

@@ -8,11 +8,11 @@ import json
import logging
from typing import Dict, List, Optional, Any, Tuple
from datetime import datetime, timedelta
import redis
from sqlalchemy.orm import Session
from ..core.database import db_manager
from ..core.models import Conversation
from ..core.redis_manager import redis_manager
from ..config.config import Config
logger = logging.getLogger(__name__)
@@ -21,29 +21,12 @@ class ConversationHistoryManager:
"""对话历史管理器"""
def __init__(self):
self.redis_client = None
self._init_redis()
self.max_history_length = 20 # 最大历史记录数
self.cache_ttl = 3600 * 24 # 缓存24小时
def _init_redis(self):
"""初始化Redis连接"""
try:
self.redis_client = redis.Redis(
host='43.134.68.207',
port=6379,
password='123456',
decode_responses=True,
socket_connect_timeout=5,
socket_timeout=5,
retry_on_timeout=True
)
# 测试连接
self.redis_client.ping()
logger.info("Redis连接成功")
except Exception as e:
logger.error(f"Redis连接失败: {e}")
self.redis_client = None
def _get_redis_client(self):
"""获取Redis客户端"""
return redis_manager.get_connection()
def _get_cache_key(self, user_id: str, work_order_id: Optional[int] = None) -> str:
"""生成缓存键"""
@@ -109,7 +92,8 @@ class ConversationHistoryManager:
response_time: Optional[float] = None
):
"""保存对话到Redis缓存"""
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return
try:
@@ -126,13 +110,13 @@ class ConversationHistoryManager:
}
# 添加到Redis列表
self.redis_client.lpush(cache_key, json.dumps(conversation_record, ensure_ascii=False))
redis_client.lpush(cache_key, json.dumps(conversation_record, ensure_ascii=False))
# 限制列表长度
self.redis_client.ltrim(cache_key, 0, self.max_history_length - 1)
redis_client.ltrim(cache_key, 0, self.max_history_length - 1)
# 设置过期时间
self.redis_client.expire(cache_key, self.cache_ttl)
redis_client.expire(cache_key, self.cache_ttl)
except Exception as e:
logger.error(f"保存到Redis缓存失败: {e}")
@@ -147,7 +131,8 @@ class ConversationHistoryManager:
"""获取对话历史优先从Redis获取"""
try:
# 先尝试从Redis获取
if self.redis_client:
redis_client = self._get_redis_client()
if redis_client:
cached_history = self._get_from_cache(user_id, work_order_id, limit, offset)
if cached_history:
return cached_history
@@ -167,7 +152,8 @@ class ConversationHistoryManager:
offset: int
) -> List[Dict[str, Any]]:
"""从Redis缓存获取对话历史"""
if not self.redis_client:
redis_client = self._get_redis_client()
if not redis_client:
return []
try:
@@ -177,7 +163,7 @@ class ConversationHistoryManager:
start = offset
end = offset + limit - 1
cached_data = self.redis_client.lrange(cache_key, start, end)
cached_data = redis_client.lrange(cache_key, start, end)
history = []
for data in cached_data:

View File

@@ -23,11 +23,36 @@ class DialogueManager:
self.knowledge_manager = KnowledgeManager()
self.vehicle_manager = VehicleDataManager()
self.history_manager = ConversationHistoryManager()
self.token_monitor = TokenMonitor()
self.ai_success_monitor = AISuccessMonitor()
self.system_optimizer = SystemOptimizer()
# 延迟初始化监控器,避免重复创建
self._token_monitor = None
self._ai_success_monitor = None
self._system_optimizer = None
self.conversation_history = {} # 存储对话历史
@property
def token_monitor(self):
"""获取Token监控器懒加载"""
if self._token_monitor is None:
from ..analytics.token_monitor import TokenMonitor
self._token_monitor = TokenMonitor()
return self._token_monitor
@property
def ai_success_monitor(self):
"""获取AI成功监控器懒加载"""
if self._ai_success_monitor is None:
from ..analytics.ai_success_monitor import AISuccessMonitor
self._ai_success_monitor = AISuccessMonitor()
return self._ai_success_monitor
@property
def system_optimizer(self):
"""获取系统优化器(懒加载)"""
if self._system_optimizer is None:
from ..core.system_optimizer import SystemOptimizer
self._system_optimizer = SystemOptimizer()
return self._system_optimizer
def process_user_message(
self,
user_message: str,

View File

@@ -16,13 +16,14 @@ from flask_cors import CORS
# 添加项目根目录到Python路径
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from src.main import TSPAssistant
from src.agent_assistant import TSPAgentAssistant
from src.dialogue.realtime_chat import RealtimeChatManager
from src.vehicle.vehicle_data_manager import VehicleDataManager
# 延迟导入,避免启动时重复初始化
# from src.main import TSPAssistant
# from src.agent_assistant import TSPAgentAssistant
# from src.dialogue.realtime_chat import RealtimeChatManager
# from src.vehicle.vehicle_data_manager import VehicleDataManager
from src.core.database import db_manager
from src.core.models import Conversation, Alert, WorkOrder
from src.core.query_optimizer import query_optimizer
# from src.core.query_optimizer import query_optimizer
# 导入蓝图
from src.web.blueprints.alerts import alerts_bp
@@ -67,6 +68,7 @@ def get_assistant():
"""获取TSP助手实例懒加载"""
global assistant
if assistant is None:
from src.main import TSPAssistant
assistant = TSPAssistant()
return assistant
@@ -74,6 +76,7 @@ def get_agent_assistant():
"""获取Agent助手实例懒加载"""
global agent_assistant
if agent_assistant is None:
from src.agent_assistant import TSPAgentAssistant
agent_assistant = TSPAgentAssistant()
return agent_assistant
@@ -81,6 +84,7 @@ def get_chat_manager():
"""获取聊天管理器实例(懒加载)"""
global chat_manager
if chat_manager is None:
from src.dialogue.realtime_chat import RealtimeChatManager
chat_manager = RealtimeChatManager()
return chat_manager
@@ -88,6 +92,7 @@ def get_vehicle_manager():
"""获取车辆数据管理器实例(懒加载)"""
global vehicle_manager
if vehicle_manager is None:
from src.vehicle.vehicle_data_manager import VehicleDataManager
vehicle_manager = VehicleDataManager()
return vehicle_manager

View File

@@ -53,26 +53,8 @@ def main():
logger.info("正在启动TSP智能助手综合管理平台...")
# 快速系统检查(不创建完整实例
try:
from src.core.database import db_manager
from src.core.llm_client import QwenClient
# 快速测试数据库连接
db_ok = db_manager.test_connection()
# 快速测试LLM连接
llm_client = QwenClient()
llm_ok = llm_client.test_connection()
logger.info(f"系统检查结果: 数据库={db_ok}, LLM={llm_ok}")
if not (db_ok and llm_ok):
logger.warning("系统检查发现问题,但继续启动...")
except Exception as e:
logger.error(f"系统检查失败: {e}")
print(f"警告: 系统检查失败 - {e}")
# 跳过系统检查,直接启动(避免重复初始化
logger.info("跳过系统检查,直接启动服务...")
# 导入并启动Flask应用
from src.web.app import app

View File

@@ -0,0 +1,18 @@
@echo off
chcp 65001 >nul
echo ========================================
echo TSP智能助手 - 快速启动(优化版)
echo ========================================
echo.
echo 正在启动服务...
echo 优化内容:
echo - 跳过系统检查,快速启动
echo - 延迟Redis连接避免阻塞
echo - 延迟监控启动,减少初始化时间
echo - 懒加载组件,按需初始化
echo.
python start_dashboard.py
pause