151 lines
3.6 KiB
Python
151 lines
3.6 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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from pydantic_ai.usage import UsageLimits
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class AgentRunWarmUpEvent(BaseModel):
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"""
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智能体运行预热事件类
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"""
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content: str = Field(
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default="",
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description="预热内容",
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)
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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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WORK = "work"
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RESULT_OUTPUT = "result_output"
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TEXT = "text"
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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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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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BOOK_FLIGHT = "预定航班"
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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(..., description="工作类型")
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deps: dict[str, Any] = Field(default_factory=dict, description="工作依赖项")
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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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user_prompt: str = Field(default="", description="用户提示词")
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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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created_at: datetime = Field(..., description="会话创建日期时间")
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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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workflow: Workflow | None = Field(default=None, description="工作流")
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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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# 依赖项适配器
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DepsAdapter = TypeAdapter(Any)
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def deps_validate_python(deps: dict[str, Any]) -> Any:
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"""
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将依赖项反序列化
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"""
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if not deps:
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return None
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return DepsAdapter.validate_python(deps)
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def deps_dump_python(deps: Any) -> dict[str, Any]:
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"""
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将依赖项序列化
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:param deps: 依赖项
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:return: python 字典
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"""
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return DepsAdapter.dump_python(deps)
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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) -> dict[str, Any]:
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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: python 字典
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"""
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return UsageAdapter.dump_python(usage)
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