from __future__ import annotations import logging import asyncio import traceback import os from ..platform import botmgr as im_mgr from ..platform.webhook_pusher import WebhookPusher from ..provider.session import sessionmgr as llm_session_mgr from ..provider.modelmgr import modelmgr as llm_model_mgr from langbot.pkg.provider.tools import toolmgr as llm_tool_mgr from ..config import manager as config_mgr from ..command import cmdmgr from ..plugin import connector as plugin_connector from ..pipeline import pool from ..pipeline import controller, pipelinemgr from ..pipeline import aggregator as message_aggregator from ..utils import version as version_mgr, proxy as proxy_mgr from ..persistence import mgr as persistencemgr from ..api.http.controller import main as http_controller from ..api.http.service import user as user_service from ..api.http.service import space as space_service from ..api.http.service import model as model_service from ..api.http.service import provider as provider_service from ..api.http.service import pipeline as pipeline_service from ..api.http.service import bot as bot_service from ..api.http.service import knowledge as knowledge_service from ..api.http.service import mcp as mcp_service from ..api.http.service import apikey as apikey_service from ..api.http.service import webhook as webhook_service from ..api.http.service import monitoring as monitoring_service from ..api.http.service import workflow as workflow_service from ..api.http.service import maintenance as maintenance_service from ..discover import engine as discover_engine from ..storage import mgr as storagemgr from ..utils import logcache from . import taskmgr from . import entities as core_entities from ..rag.knowledge import kbmgr as rag_mgr from ..rag.service import RAGRuntimeService from ..vector import mgr as vectordb_mgr from ..telemetry import telemetry as telemetry_module from ..survey import manager as survey_module class Application: """Runtime application object and context""" event_loop: asyncio.AbstractEventLoop = None # asyncio_tasks: list[asyncio.Task] = [] task_mgr: taskmgr.AsyncTaskManager = None discover: discover_engine.ComponentDiscoveryEngine = None platform_mgr: im_mgr.PlatformManager = None webhook_pusher: WebhookPusher = None cmd_mgr: cmdmgr.CommandManager = None sess_mgr: llm_session_mgr.SessionManager = None model_mgr: llm_model_mgr.ModelManager = None rag_mgr: rag_mgr.RAGManager = None rag_runtime_service: RAGRuntimeService = None # TODO move to pipeline tool_mgr: llm_tool_mgr.ToolManager = None # ======= Config manager ======= command_cfg: config_mgr.ConfigManager = None # deprecated pipeline_cfg: config_mgr.ConfigManager = None # deprecated platform_cfg: config_mgr.ConfigManager = None # deprecated provider_cfg: config_mgr.ConfigManager = None # deprecated system_cfg: config_mgr.ConfigManager = None # deprecated instance_config: config_mgr.ConfigManager = None instance_id: config_mgr.ConfigManager = None # used to identify the instance # ======= Metadata config manager ======= sensitive_meta: config_mgr.ConfigManager = None pipeline_config_meta_trigger: config_mgr.ConfigManager = None pipeline_config_meta_safety: config_mgr.ConfigManager = None pipeline_config_meta_ai: config_mgr.ConfigManager = None pipeline_config_meta_output: config_mgr.ConfigManager = None # ========================= plugin_connector: plugin_connector.PluginRuntimeConnector = None query_pool: pool.QueryPool = None msg_aggregator: message_aggregator.MessageAggregator = None ctrl: controller.Controller = None pipeline_mgr: pipelinemgr.PipelineManager = None ver_mgr: version_mgr.VersionManager = None proxy_mgr: proxy_mgr.ProxyManager = None logger: logging.Logger = None persistence_mgr: persistencemgr.PersistenceManager = None vector_db_mgr: vectordb_mgr.VectorDBManager = None http_ctrl: http_controller.HTTPController = None log_cache: logcache.LogCache = None storage_mgr: storagemgr.StorageMgr = None # ========= HTTP Services ========= user_service: user_service.UserService = None space_service: space_service.SpaceService = None llm_model_service: model_service.LLMModelsService = None embedding_models_service: model_service.EmbeddingModelsService = None rerank_models_service: model_service.RerankModelsService = None provider_service: provider_service.ModelProviderService = None pipeline_service: pipeline_service.PipelineService = None bot_service: bot_service.BotService = None knowledge_service: knowledge_service.KnowledgeService = None mcp_service: mcp_service.MCPService = None apikey_service: apikey_service.ApiKeyService = None webhook_service: webhook_service.WebhookService = None workflow_service: workflow_service.WorkflowService = None telemetry: telemetry_module.TelemetryManager = None survey: survey_module.SurveyManager = None monitoring_service: monitoring_service.MonitoringService = None maintenance_service: maintenance_service.MaintenanceService = None def __init__(self): pass async def initialize(self): pass async def run(self): try: await self.plugin_connector.initialize_plugins() # 后续可能会允许动态重启其他任务 # 故为了防止程序在非 Ctrl-C 情况下退出，这里创建一个不会结束的协程 async def never_ending(): while True: await asyncio.sleep(1) self.task_mgr.create_task( self.platform_mgr.run(), name='platform-manager', scopes=[ core_entities.LifecycleControlScope.APPLICATION, core_entities.LifecycleControlScope.PLATFORM, ], ) self.task_mgr.create_task( self.ctrl.run(), name='query-controller', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) self.task_mgr.create_task( self.http_ctrl.run(), name='http-api-controller', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) # Start monitoring data cleanup task if enabled monitoring_cfg = self.instance_config.data.get('monitoring', {}) auto_cleanup_cfg = monitoring_cfg.get('auto_cleanup', {}) if auto_cleanup_cfg.get('enabled', True): retention_days = self._get_positive_int_config( auto_cleanup_cfg.get('retention_days', 30), default=30, name='monitoring.auto_cleanup.retention_days', ) delete_batch_size = self._get_positive_int_config( auto_cleanup_cfg.get('delete_batch_size', 1000), default=1000, name='monitoring.auto_cleanup.delete_batch_size', ) check_interval_hours = self._get_positive_float_config( auto_cleanup_cfg.get('check_interval_hours', 1), default=1, name='monitoring.auto_cleanup.check_interval_hours', ) async def monitoring_cleanup_loop(): check_interval_seconds = check_interval_hours * 3600 while True: try: deleted = await self.monitoring_service.cleanup_expired_records( retention_days, batch_size=delete_batch_size, ) total_deleted = sum(deleted.values()) if total_deleted > 0: self.logger.info( f'Monitoring auto-cleanup: deleted {total_deleted} expired records ' f'(retention={retention_days}d): {deleted}' ) except Exception as e: self.logger.warning(f'Monitoring auto-cleanup error: {e}') await asyncio.sleep(check_interval_seconds) self.task_mgr.create_task( monitoring_cleanup_loop(), name='monitoring-cleanup', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) async def workflow_execution_cleanup_loop(): check_interval_seconds = 60 while True: try: cancelled = await self.workflow_service.cleanup_stale_executions() if cancelled > 0: self.logger.info(f'Workflow execution auto-cleanup: cancelled {cancelled} stale executions') except Exception as e: self.logger.warning(f'Workflow execution auto-cleanup error: {e}') await asyncio.sleep(check_interval_seconds) self.task_mgr.create_task( workflow_execution_cleanup_loop(), name='workflow-execution-cleanup', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) # Start storage/log maintenance task if enabled storage_cleanup_cfg = self.instance_config.data.get('storage', {}).get('cleanup', {}) if storage_cleanup_cfg.get('enabled', True) and self.maintenance_service is not None: check_interval_hours = self._get_positive_float_config( storage_cleanup_cfg.get('check_interval_hours', 1), default=1, name='storage.cleanup.check_interval_hours', ) async def storage_cleanup_loop(): check_interval_seconds = check_interval_hours * 3600 while True: try: deleted = await self.maintenance_service.cleanup_expired_files() total_deleted = sum(deleted.values()) if total_deleted > 0: self.logger.info(f'Storage maintenance: deleted expired files: {deleted}') except Exception as e: self.logger.warning(f'Storage maintenance error: {e}') await asyncio.sleep(check_interval_seconds) self.task_mgr.create_task( storage_cleanup_loop(), name='storage-maintenance', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) self.task_mgr.create_task( never_ending(), name='never-ending-task', scopes=[core_entities.LifecycleControlScope.APPLICATION], ) await self.print_web_access_info() await self.task_mgr.wait_all() except asyncio.CancelledError: pass except Exception as e: self.logger.error(f'Application runtime fatal exception: {e}') self.logger.debug(f'Traceback: {traceback.format_exc()}') def _get_positive_int_config(self, value, default: int, name: str) -> int: try: parsed = int(value) except (TypeError, ValueError): self.logger.warning(f'Invalid {name}: {value!r}, using {default}') return default if parsed < 1: self.logger.warning(f'Invalid {name}: {value!r}, using {default}') return default return parsed def _get_positive_float_config(self, value, default: float, name: str) -> float: try: parsed = float(value) except (TypeError, ValueError): self.logger.warning(f'Invalid {name}: {value!r}, using {default}') return default if parsed <= 0: self.logger.warning(f'Invalid {name}: {value!r}, using {default}') return default return parsed def dispose(self): self.plugin_connector.dispose() async def print_web_access_info(self): """Print access webui tips""" from ..utils import paths frontend_path = paths.get_frontend_path() if not os.path.exists(frontend_path): self.logger.warning('WebUI 文件缺失，请根据文档部署：https://docs.langbot.app/zh') self.logger.warning( 'WebUI files are missing, please deploy according to the documentation: https://docs.langbot.app/en' ) return host_ip = '127.0.0.1' port = self.instance_config.data['api']['port'] tips = f""" ======================================= ✨ Access WebUI / 访问管理面板 🏠 Local Address: http://{host_ip}:{port}/ 🌐 Public Address: http://:{port}/ 📌 Running this program in a container? Please ensure that the {port} port is exposed ======================================= """.strip() for line in tips.split('\n'): self.logger.info(line)