184 lines
4.8 KiB
Python
184 lines
4.8 KiB
Python
# -*- coding: utf-8 -*-
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"""
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面向 reflex.state 的类
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"""
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from datetime import datetime
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from enum import StrEnum
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from typing import Any
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from pydantic import BaseModel, Field, TypeAdapter
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from pydantic_ai import RunUsage
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from pydantic_ai._uuid import uuid7
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class MessageType(StrEnum):
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"""
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消息类型枚举
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"""
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USER_PROMPT = "user_prompt"
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THINKING = "thinking"
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TOOL_CALL = "tool_call"
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TEXT = "text"
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class Approval(BaseModel):
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"""
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审批类
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"""
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tool_call_id: str = Field(..., description="工具调用唯一标识")
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content: str = Field(default="", description="审批内容")
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result: bool | None = Field(
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default=None,
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description="审批结果，True 表示审批通过，False 表示审批拒绝，None 表示待审批",
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)
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class Message(BaseModel):
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"""
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消息类
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"""
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id: str = Field(default_factory=lambda: str(uuid7()), description="消息唯一标识")
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type: MessageType = Field(..., description="消息类型")
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title: str = Field(default="", description="消息标题")
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content: str = Field(default="", description="消息内容")
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approval: Approval | None = Field(default=None, description="审批")
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is_running: bool = Field(
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default=False, description="正在运行，True 表示正在运行， False 表示运行结束"
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)
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is_shown: bool = Field(
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default=False, description="展示组件，True 表示展示，False 表示隐藏"
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)
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class WorkflowType(StrEnum):
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"""
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工作类型枚举
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"""
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TALK = "对话"
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BOOK_FLIGHT = "预定航班"
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BANK_CUSTOMER_SERVICE = "银行客户服务"
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class Workflow(BaseModel):
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"""
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工作流类
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"""
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type: WorkflowType = Field(default=WorkflowType.TALK, description="工作类型")
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deps: Any = Field(default=None, description="工作依赖项")
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tool_call_id_map_to_message_id: dict[str, str] = Field(
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default_factory=dict, description="工具调用唯一标识映射为消息实例唯一标识字典"
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)
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class Conversation(BaseModel):
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"""
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会话类
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"""
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id: str = Field(..., description="会话唯一标识")
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description: str = Field(..., description="会话描述")
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created_at: datetime = Field(..., description="会话创建日期时间")
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usage: RunUsage = Field(..., description="会话使用量")
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messages: dict[str, Message] = Field(default_factory=dict, description="消息字典")
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workflow: Workflow = Field(default_factory=Workflow, description="工作，默认为对话")
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user_prompt: str = Field(default="", description="用户提示词")
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is_running: bool = Field(
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default=False, description="正在运行，True 表示正在运行， False 表示运行结束"
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)
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awaiting_stream: bool = Field(
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default=False,
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description="等待流式输出，True 表示等待流式输出，False 表示已开始流式输出或已完成",
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)
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class ConversationHistoryItem(BaseModel):
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"""
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会话历史项类
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"""
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id: str = Field(..., description="会话唯一标识")
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description: str = Field(..., description="会话描述")
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created_at: str = Field(..., description="会话创建日期时间")
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class MessageHistoryItem(Message):
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"""
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消息历史项类
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"""
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has_approval: bool = Field(default=False, description="包含审批实例")
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approval_content: str = Field(default="", description="审批内容")
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# 工作流适配器
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WorkflowAdapter = TypeAdapter(Workflow)
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def workflow_validate_json(workflow: str) -> Any:
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"""
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将工作流反序列化
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"""
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if not workflow:
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return Workflow()
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return WorkflowAdapter.validate_json(workflow)
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def workflow_dump_json(workflow: Workflow) -> str:
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"""
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将工作流序列化
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:param workflow: 工作流
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:return: 字符串
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"""
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return WorkflowAdapter.dump_json(workflow).decode("utf-8")
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# 使用量（RunUsage）适配器
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UsageAdapter = TypeAdapter(RunUsage)
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def usage_validate_json(usage: str) -> RunUsage:
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"""
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将使用量反序列化
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"""
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if not usage:
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return RunUsage()
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return UsageAdapter.validate_json(usage)
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def usage_dump_json(usage: RunUsage) -> str:
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"""
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将使用量序列化
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:param usage: 使用量
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:return: 字符串
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"""
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return UsageAdapter.dump_json(usage).decode("utf-8")
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# 审批适配器
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ApprovalAdapter = TypeAdapter(Approval)
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def approval_validate_json(approval: str) -> Approval | None:
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"""
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将审批反序列化
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"""
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if not approval:
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return None
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return ApprovalAdapter.validate_json(approval)
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def approval_dump_json(approval: Approval | None) -> str:
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"""
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将审批序列化
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:param approval: 审批
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:return: 字符串
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"""
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if approval is None:
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return ""
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return ApprovalAdapter.dump_json(approval).decode("utf-8")
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