import json
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from datetime import datetime
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from enum import IntEnum
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from sqlalchemy import Column, String, Enum as SQLAlchemyEnum, Integer, BigInteger, DateTime, Text, Float, Boolean
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from app.models.base_model import Base
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class AgentType(IntEnum):
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RAGFLOW = 1
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BISHENG = 2
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BASIC = 3
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DIFY = 4
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class AgentModel(Base):
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__tablename__ = "agent"
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id = Column(String(255), primary_key=True)
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name = Column(String(255))
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sort = Column(Integer, default=0, nullable=False)
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agent_type = Column(SQLAlchemyEnum(AgentType), nullable=False)
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type = Column(String(255), nullable=False)
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# to_dict 方法
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def to_dict(self):
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return {
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'id': self.id,
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'name': self.name,
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'agent_type': self.agent_type,
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'type': self.type
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}
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class CanvasModel(Base):
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__tablename__ = 'canvas'
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id = Column(String(32), primary_key=True) # id
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create_date = Column(DateTime, default=datetime.now)
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update_date = Column(DateTime, default=datetime.now)
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avatar = Column(Text) # 图标
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user_id = Column(String(255)) # 用户id
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title = Column(String(255)) # 标题
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description = Column(Text) # 说明
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canvas_type = Column(String(32)) # agent类型
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dsl = Column(Text)
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agent_type = Column(String(2)) # agent平台
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def get_id(self):
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return str(self.id)
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def to_json(self):
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return {
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'id': self.id,
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'create_date': self.create_date,
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'update_date': self.update_date,
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'avatar': self.avatar,
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'user_id': self.user_id,
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'title': self.title,
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'description': self.description,
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'canvas_type': self.canvas_type,
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'dsl': self.dsl
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}
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class UnifiedAgentModel(Base):
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__tablename__ = 'unified_agent'
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id = Column(String(32), primary_key=True)
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tenant_id = Column(String(32))
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name = Column(String(255))
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description = Column(Text)
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icon = Column(Text)
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prompt_type = Column(String(16))
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prompt_config = Column(Text, default='{}')
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status = Column(String(1))
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prompts = Column(Text, default='[]')
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language = Column(String(32))
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llm_id = Column(String(128), default='')
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llm_setting = Column(Text, default='{}')
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similarity_threshold = Column(Float, default=0.0)
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vector_similarity_weight = Column(Float, default=0.0)
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top_n = Column(Integer, default=0)
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top_k = Column(Integer, default=0)
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do_refer = Column(String(1), default='')
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rerank_id = Column(String(128), default='')
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kb_ids = Column(Text, default='[]')
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hide = Column(Boolean, default=False)
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type = Column(Integer)
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canvas_type = Column(String(32), default="")
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dsl = Column(Text, default='{}')
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def get_id(self):
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return str(self.id)
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def to_json(self):
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if self.prompts is None or self.prompts == '':
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self.prompts = '[]'
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if self.prompt_config is None or self.prompt_config == '':
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self.prompt_config = '{}'
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if self.dsl is None or self.dsl == '':
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self.dsl = '{}'
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if self.kb_ids is None or self.kb_ids == '':
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self.kb_ids = '[]'
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return {
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'id': self.id,
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'create_time': self.create_time,
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'create_date': self.create_date,
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'update_time': self.update_time,
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'update_date': self.update_date,
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'tenant_id': self.tenant_id,
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'name': self.name,
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'description': self.description,
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'icon': self.icon,
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'language': self.language,
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'llm_id': self.llm_id,
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'similarity_threshold': self.similarity_threshold,
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'vector_similarity_weight': self.vector_similarity_weight,
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'top_n': self.top_n,
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'top_k': self.top_k,
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'do_refer': self.do_refer,
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'kb_ids': self.kb_ids,
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'status': self.status,
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'prompt_type': self.prompt_type,
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'prompt_config': json.loads(self.prompt_config),
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'prompts': json.loads(self.prompts),
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'dsl': json.loads(self.dsl)
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}
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@staticmethod
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def is_type(record_id, t):
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record = UnifiedAgentModel.get_by_id(record_id)
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return record and record.type == t
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