62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
"""投顾 Agent HTTP 请求 DTO。"""
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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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from common.common_const import (
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AGENT_INTENT_DIALOGUE_SCRIPT,
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AGENT_INTENT_FUND_ANALYSIS,
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AGENT_INTENT_REBALANCE,
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AGENT_INTENT_RECOMMEND,
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TALK_SCENE_CUSTOMER_COMPLAINT,
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TALK_SCENE_MARKET_FLUCTUATION,
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TALK_SCENE_PORTFOLIO_DIVERGENCE,
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TALK_SCENE_RISK_BLOCK_ORDER,
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)
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class AdvisorDraftSaveReq(BaseModel):
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title: str | None = Field(default=None, max_length=128)
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content: str | None = None
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structured_data: dict[str, Any] | None = None
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class AdvisorDraftOperateReq(BaseModel):
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operation: Literal["discard"]
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class AdvisorRebalanceRunReq(BaseModel):
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customer_id: int = Field(gt=0)
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class AdvisorChatReq(BaseModel):
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# 通用投顾问答不需要客户上下文；个性化推荐时再传入客户编号。
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customer_id: int | None = Field(default=None, gt=0)
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intent: Literal[
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AGENT_INTENT_RECOMMEND,
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AGENT_INTENT_REBALANCE,
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AGENT_INTENT_FUND_ANALYSIS,
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AGENT_INTENT_DIALOGUE_SCRIPT,
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] | None = None
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query: str = Field(min_length=1, max_length=4000)
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class AdvisorFundAnalysisReq(BaseModel):
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customer_id: int | None = Field(default=None, gt=0)
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fund_codes: list[str] = Field(min_length=1)
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fund: dict[str, Any] | None = None
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performance: list[dict[str, Any]] | None = None
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class AdvisorTalkScriptReq(BaseModel):
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customer_id: int = Field(gt=0)
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scene_type: Literal[
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TALK_SCENE_RISK_BLOCK_ORDER,
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TALK_SCENE_MARKET_FLUCTUATION,
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TALK_SCENE_PORTFOLIO_DIVERGENCE,
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TALK_SCENE_CUSTOMER_COMPLAINT,
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]
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customer_name: str = Field(default="客户", max_length=32)
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