80ca247435
* [changes]refactor locomo_test * [fix]Fix the circular import of ModelParameters * [changes]The benchmark test can run stably. * [fix]Complete end-to-end LoCoMo repair * [fix]Complete the end-to-end longmemeval and memsciqa fixes * [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect. * [changes]refactor locomo_test * [fix]Fix the circular import of ModelParameters * [changes]The benchmark test can run stably. * [fix]Complete end-to-end LoCoMo repair * [fix]Complete the end-to-end longmemeval and memsciqa fixes * [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect. * [changes]Benchmark test adaptation for end_user_id * [changes]refactor locomo_test * [fix]Fix the circular import of ModelParameters * [changes]The benchmark test can run stably. * [fix]Complete end-to-end LoCoMo repair * [fix]Complete the end-to-end longmemeval and memsciqa fixes * [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect. * [fix]Complete the end-to-end longmemeval and memsciqa fixes * [changes]Complete the benchmark test description document to ensure that the configuration parameters take effect. * [changes]Benchmark test adaptation for end_user_id
51 lines
2.3 KiB
Python
51 lines
2.3 KiB
Python
import datetime
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import uuid
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from sqlalchemy import Column, String, Boolean, DateTime, Text, ForeignKey
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from sqlalchemy.dialects.postgresql import UUID, JSON
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from sqlalchemy.orm import relationship
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from app.base.type import PydanticType
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from app.db import Base
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from app.schemas.app_schema import ModelParameters
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class AgentConfig(Base):
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__tablename__ = "agent_configs"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
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# 一对一关联到 App
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app_id = Column(UUID(as_uuid=True), ForeignKey("apps.id"), nullable=False, unique=True, index=True)
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# Agent 行为配置
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system_prompt = Column(Text, nullable=True, comment="系统提示词")
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default_model_config_id = Column(UUID(as_uuid=True), ForeignKey("model_configs.id"), nullable=True, index=True, comment="默认模型配置ID")
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# 结构化配置（直接存储 JSON）
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# model_parameters = Column(JSON, nullable=True, comment="模型参数配置（temperature、max_tokens等）")
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model_parameters = Column(PydanticType(ModelParameters), nullable=True,
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comment="模型参数配置（temperature、max_tokens等）")
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knowledge_retrieval = Column(JSON, nullable=True, comment="知识库检索配置")
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memory = Column(JSON, nullable=True, comment="记忆配置")
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variables = Column(JSON, default=list, nullable=True, comment="变量配置")
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tools = Column(JSON, default=dict, nullable=True, comment="工具配置")
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# 多 Agent 相关字段
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agent_role = Column(String(20), comment="Agent 角色: master|sub|standalone")
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agent_domain = Column(String(50), comment="专业领域: customer_service|technical_support|sales 等")
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parent_agent_id = Column(UUID(as_uuid=True), ForeignKey("agent_configs.id"), comment="父 Agent ID")
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capabilities = Column(JSON, default=list, comment="Agent 能力列表")
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# 状态与时间戳
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is_active = Column(Boolean, default=True, nullable=False)
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created_at = Column(DateTime, default=datetime.datetime.now)
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updated_at = Column(DateTime, default=datetime.datetime.now, onupdate=datetime.datetime.now)
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# 关系
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app = relationship("App", back_populates="agent_config")
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parent_agent = relationship("AgentConfig", remote_side=[id], backref="sub_agents")
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def __repr__(self):
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return f"<AgentConfig(id={self.id}, app_id={self.app_id})>"
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