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26 lines
1.3 KiB
Python
26 lines
1.3 KiB
Python
from concurrent.futures import ThreadPoolExecutor
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from typing import Dict, Any
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import pydantic
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from memory_scope.chat_v2.base_memory_chat import BaseMemoryChat
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from memory_scope.enumeration.language_enum import LanguageEnum
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from memory_scope.memory.service.base_memory_service import BaseMemoryService
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from memory_scope.models.base_model import BaseModel
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from memory_scope.storage.base_monitor import BaseMonitor
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from memory_scope.storage.base_vector_store import BaseVectorStore
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class GlobalContext(pydantic.BaseModel):
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global_config: Dict[str, Any] = pydantic.Field({}, description="global config")
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worker_config: Dict[str, Any] = pydantic.Field({}, description="worker config")
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memory_service_dict: Dict[str, BaseMemoryService] = pydantic.Field({}, description="memory_service dict")
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model_dict: Dict[str, BaseModel] = pydantic.Field({}, description="model dict")
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memory_chat_dict: Dict[str, BaseMemoryChat] = pydantic.Field({}, description="memory_chat dict")
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vector_store: BaseVectorStore | None = pydantic.Field(None, description="global vector_store")
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monitor: BaseMonitor | None = pydantic.Field(None, description="global monitor")
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thread_pool: ThreadPoolExecutor | None = pydantic.Field(None, description="global thread_pool")
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language: LanguageEnum = pydantic.Field(LanguageEnum.CN, description="language: cn / en")
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