[Bug]docker compose dbgpt server start error

[Lo7ong]

Search before asking

• [X] I had searched in the issues and found no similar issues.

Operating system information

Linux

Python version information

=3.11

DB-GPT version

latest release

Related scenes

• [ ] Chat Data
• [ ] Chat Excel
• [ ] Chat DB
• [ ] Chat Knowledge
• [ ] Model Management
• [ ] Dashboard
• [ ] Plugins

Installation Information

• [ ] Installation From Source

• [ ] Docker Installation

• [X] Docker Compose Installation

• [ ] Cluster Installation

• [ ] AutoDL Image

• [ ] Other

Device information

设备无异常，环境无异常，和v0.4.4同系统底层。 ubuntu22.04

Models information

基础潜入模型。

What happened

docker compose 启动异常。 gpt_raisound-webserver-1 | File "/app/dbgpt/model/cluster/worker/manager.py", line 628, in start gpt_raisound-webserver-1 | return await self.worker_manager.start() gpt_raisound-webserver-1 | File "/app/dbgpt/model/cluster/worker/remote_manager.py", line 20, in start gpt_raisound-webserver-1 | listener(self) gpt_raisound-webserver-1 | File "/app/dbgpt/app/base.py", line 82, in startup_event gpt_raisound-webserver-1 | conn_manage = ConnectManager(system_app) gpt_raisound-webserver-1 | File "/app/dbgpt/datasource/manages/connection_manager.py", line 54, in __init__ gpt_raisound-webserver-1 | self.db_summary_client = DBSummaryClient(system_app) gpt_raisound-webserver-1 | File "/app/dbgpt/rag/summary/db_summary_client.py", line 31, in __init__ gpt_raisound-webserver-1 | self.embeddings = embedding_factory.create( gpt_raisound-webserver-1 | File "/app/dbgpt/app/initialization/embedding_component.py", line 51, in create gpt_raisound-webserver-1 | worker_manager = self.system_app.get_component( gpt_raisound-webserver-1 | File "/app/dbgpt/component.py", line 194, in get_component gpt_raisound-webserver-1 | raise ValueError(f"No component found with name {name}") gpt_raisound-webserver-1 | ValueError: No component found with name dbgpt_worker_manager_factory gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | ========== gpt_raisound-webserver-1 | == CUDA == gpt_raisound-webserver-1 | ========== gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | CUDA Version 11.8.0 gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | This container image and its contents are governed by the NVIDIA Deep Learning Container License. gpt_raisound-webserver-1 | By pulling and using the container, you accept the terms and conditions of this license: gpt_raisound-webserver-1 | https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. gpt_raisound-webserver-1 | gpt_raisound-webserver-1 | 2024-01-08 07:31:55 c34610dee355 dbgpt.component[1] INFO Register component with name dbgpt_unified_metadata_db_manager_factory and instance: <dbgpt.storage.metadata.db_factory.UnifiedDBManagerFactory object at 0x7f5652e42590>

gpt_raisound-webserver-1 | File "/app/dbgpt/app/base.py", line 82, in startup_event gpt_raisound-webserver-1 | conn_manage = ConnectManager(system_app) gpt_raisound-webserver-1 | File "/app/dbgpt/datasource/manages/connection_manager.py", line 54, in __init__ gpt_raisound-webserver-1 | self.db_summary_client = DBSummaryClient(system_app) gpt_raisound-webserver-1 | File "/app/dbgpt/rag/summary/db_summary_client.py", line 31, in __init__ gpt_raisound-webserver-1 | self.embeddings = embedding_factory.create( gpt_raisound-webserver-1 | File "/app/dbgpt/app/initialization/embedding_component.py", line 51, in create gpt_raisound-webserver-1 | worker_manager = self.system_app.get_component( gpt_raisound-webserver-1 | File "/app/dbgpt/component.py", line 194, in get_component gpt_raisound-webserver-1 | raise ValueError(f"No component found with name {name}") gpt_raisound-webserver-1 | ValueError: No component found with name dbgpt_worker_manager_factory gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:53 55115274b26e dbgpt.util.api_utils[1] DEBUG return_type: <class 'bool'>, actual_dataclass: None gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:53 55115274b26e dbgpt.util.api_utils[1] DEBUG request_params: {'method': 'POST', 'url': 'http://controller:8000/api/controller/heartbeat', 'json': {'model_name': 'text2vec@text2vec', 'host': '172.20.0.4', 'port': 8002, 'weight': 1.0, 'check_healthy': True, 'healthy': False, 'enabled': True, 'prompt_template': None, 'last_heartbeat': None}}, args: (ModelInstance(model_name='text2vec@text2vec', host='172.20.0.4', port=8002, weight=1.0, check_healthy=True, healthy=False, enabled=True, prompt_template=None, last_heartbeat=None),), kwargs: {} gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e dbgpt.util.api_utils[1] DEBUG return_type: <class 'bool'>, actual_dataclass: None gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e dbgpt.util.api_utils[1] DEBUG request_params: {'method': 'POST', 'url': 'http://controller:8000/api/controller/heartbeat', 'json': {'model_name': 'WorkerManager@service', 'host': '172.20.0.4', 'port': 8002, 'weight': 1.0, 'check_healthy': True, 'healthy': False, 'enabled': True, 'prompt_template': None, 'last_heartbeat': None}}, args: (ModelInstance(model_name='WorkerManager@service', host='172.20.0.4', port=8002, weight=1.0, check_healthy=True, healthy=False, enabled=True, prompt_template=None, last_heartbeat=None),), kwargs: {} gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.connection[1] DEBUG connect_tcp.started host='controller' port=8000 local_address=None timeout=5.0 socket_options=None gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.connection[1] DEBUG connect_tcp.started host='controller' port=8000 local_address=None timeout=5.0 socket_options=None gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.connection[1] DEBUG connect_tcp.complete return_value=<httpcore._backends.anyio.AnyIOStream object at 0x7f01d63512a0> gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.http11[1] DEBUG send_request_headers.started request=<Request [b'POST']> gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.http11[1] DEBUG send_request_headers.complete gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.http11[1] DEBUG send_request_body.started request=<Request [b'POST']> gpt_raisound-embedding-worker-1 | 2024-01-08 07:39:54 55115274b26e httpcore.connection[1] DEBUG connect_tcp.complete return_value=<httpcore._backends.anyio.AnyIOStream object at 0x7f0111ce6f80>

What you expected to happen

dbgpt_worker_manager_factory 组件定义使用错误？

How to reproduce

启动文件如下： `version: '3.10'

services: controller: image: eosphorosai/dbgpt:v0.4.5 command: dbgpt start controller restart: unless-stopped networks:

• dbgptnet api-server: image: eosphorosai/dbgpt:v0.4.5 command: dbgpt start apiserver --controller_addr http://controller:8000 restart: unless-stopped depends_on:
• controller networks:
• dbgptnet ports:
• 8100:8100/tcp llm-worker: image: eosphorosai/dbgpt:v0.4.5 command: dbgpt start worker --model_name vicuna-13b-v1.5 --model_path /app/models/vicuna-13b-v1.5 --port 8001 --controller_addr http://controller:8000 environment:
• DBGPT_LOG_LEVEL=DEBUG depends_on:
• controller volumes:
• /opt/data:/data

  Please modify it to your own model directory

• /opt/data/models:/app/models restart: unless-stopped networks:
• dbgptnet ipc: host deploy: resources: reservations: devices:
  • driver: nvidia capabilities: [gpu] embedding-worker: image: eosphorosai/dbgpt:v0.4.5 command: dbgpt start worker --model_name text2vec --worker_type text2vec --model_path /app/models/text2vec-large-chinese --port 8002 --controller_addr http://controller:8000 environment:
• DBGPT_LOG_LEVEL=DEBUG depends_on:
• controller volumes:
• /opt/data:/data

  Please modify it to your own model directory

• /opt/data/models:/app/models restart: unless-stopped networks:
• dbgptnet deploy: resources: reservations: devices:
  • driver: nvidia capabilities: [gpu] webserver: image: eosphorosai/dbgpt:v0.4.5 command: dbgpt start webserver --light --remote_embedding environment:
• DBGPT_LOG_LEVEL=DEBUG
• LOCAL_DB_PATH=data/default_sqlite.db
• LOCAL_DB_TYPE=sqlite
• ALLOWLISTED_PLUGINS=db_dashboard
• LLM_MODEL=vicuna-13b-v1.5
• MODEL_SERVER=http://controller:8000 depends_on:
• controller
• llm-worker
• embedding-worker volumes:
• /opt/data:/data

  Please modify it to your own model directory

• /opt/data/models:/app/models
• dbgpt-data:/app/pilot/data
• dbgpt-message:/app/pilot/message

  env_file:

  - .env.template

  ports:

• 5000:5000/tcp

  webserver may be failed, it must wait all sqls in /docker-entrypoint-initdb.d execute finish.

  restart: unless-stopped networks:

• dbgptnet deploy: resources: reservations: devices:
  • driver: nvidia capabilities: [gpu] volumes: dbgpt-myql-db: dbgpt-data: dbgpt-message: networks: dbgptnet: driver: bridge name: dbgptnet`

Additional context

No response

Are you willing to submit PR?

• [ ] Yes I am willing to submit a PR!

[github-actions[bot]]

This issue has been marked as stale, because it has been over 30 days without any activity.

[github-actions[bot]]

This issue has been marked as stale, because it has been over 30 days without any activity.