91 lines
5.1 KiB
Python
91 lines
5.1 KiB
Python
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from __future__ import annotations
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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StewardTaskType = Literal["expense_application", "reimbursement"]
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StewardAssignedAgent = Literal["application_assistant", "reimbursement_assistant"]
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StewardPlanningSource = Literal["llm_function_call", "rule_fallback"]
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StewardTaskStatus = Literal[
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"planned",
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"needs_confirmation",
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"ready_to_delegate",
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"delegated",
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"completed",
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"blocked",
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]
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StewardConfirmationStatus = Literal["pending", "confirmed", "rejected"]
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class StewardAttachmentInput(BaseModel):
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name: str = Field(description="附件原始文件名。")
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media_type: str = Field(default="", description="附件 MIME 类型。")
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ocr_summary: str = Field(default="", description="可选 OCR 摘要。")
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ocr_fields: dict[str, Any] = Field(default_factory=dict, description="可选 OCR 结构化字段。")
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class StewardPlanRequest(BaseModel):
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message: str = Field(description="用户在首页输入的自然语言任务。")
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user_id: str | None = Field(default=None, description="当前用户 ID。")
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client_now_iso: str | None = Field(default=None, description="客户端当前时间 ISO 字符串。")
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attachments: list[StewardAttachmentInput] = Field(default_factory=list, description="随本次输入上传的附件。")
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context_json: dict[str, Any] = Field(default_factory=dict, description="调用方上下文。")
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class StewardThinkingEvent(BaseModel):
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event_id: str = Field(description="过程摘要事件 ID。")
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stage: str = Field(description="阶段编码。")
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title: str = Field(description="面向用户展示的阶段标题。")
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content: str = Field(description="面向用户展示的过程摘要。")
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status: str = Field(default="completed", description="事件状态。")
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class StewardTask(BaseModel):
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task_id: str = Field(description="小财管家任务 ID。")
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task_type: StewardTaskType = Field(description="任务类型。")
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assigned_agent: StewardAssignedAgent = Field(description="建议分派的下游助手。")
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title: str = Field(description="任务标题。")
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summary: str = Field(description="任务摘要。")
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status: StewardTaskStatus = Field(default="needs_confirmation", description="任务状态。")
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confidence: float = Field(default=0.0, ge=0.0, le=1.0, description="识别置信度。")
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ontology_fields: dict[str, str] = Field(default_factory=dict, description="归一化后的业务本体字段。")
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missing_fields: list[str] = Field(default_factory=list, description="仍缺失的本体字段。")
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confirmation_required: bool = Field(default=True, description="执行前是否需要用户确认。")
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class StewardAttachmentGroup(BaseModel):
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group_id: str = Field(description="附件归集组 ID。")
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target_task_id: str | None = Field(default=None, description="建议归属的任务 ID。")
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scene: str = Field(description="归集场景编码。")
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scene_label: str = Field(description="归集场景展示名。")
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attachment_names: list[str] = Field(default_factory=list, description="建议纳入的附件名称。")
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excluded_attachment_names: list[str] = Field(default_factory=list, description="建议排除或单独处理的附件名称。")
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confidence: float = Field(default=0.0, ge=0.0, le=1.0, description="归集置信度。")
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rationale: str = Field(default="", description="归集依据。")
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confirmation_required: bool = Field(default=True, description="归集前是否需要用户确认。")
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class StewardConfirmationAction(BaseModel):
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confirmation_id: str = Field(description="确认动作 ID。")
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action_type: str = Field(description="确认动作类型。")
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label: str = Field(description="确认按钮文案。")
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description: str = Field(default="", description="确认动作说明。")
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target_task_id: str | None = Field(default=None, description="关联任务 ID。")
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attachment_group_id: str | None = Field(default=None, description="关联附件归集组 ID。")
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status: StewardConfirmationStatus = Field(default="pending", description="确认状态。")
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payload: dict[str, Any] = Field(default_factory=dict, description="确认后继续执行所需载荷。")
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class StewardPlanResponse(BaseModel):
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plan_id: str = Field(description="小财管家计划 ID。")
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plan_status: str = Field(default="needs_confirmation", description="计划状态。")
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planning_source: StewardPlanningSource = Field(default="rule_fallback", description="计划生成来源。")
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summary: str = Field(description="计划摘要。")
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thinking_events: list[StewardThinkingEvent] = Field(default_factory=list, description="过程摘要事件。")
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tasks: list[StewardTask] = Field(default_factory=list, description="拆解后的任务。")
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attachment_groups: list[StewardAttachmentGroup] = Field(default_factory=list, description="附件归集建议。")
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confirmation_groups: list[StewardConfirmationAction] = Field(default_factory=list, description="等待用户确认的动作。")
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model_call_traces: list[dict[str, Any]] = Field(default_factory=list, description="模型工具调用轨迹。")
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