selfrelease
57c8a26147
- AI Service: 多阶段对话模型(理解→澄清→生成→校验→确认)，支持对话历史和当前Schema上下文 - Backend: 适配多阶段AI模型，Gateway/Service/Controller传递history和currentSchema - Frontend: AiDesignerChat组件重写，支持阶段徽章、快速回复、Schema校验展示 - Frontend: 表单/流程设计器布局优化，AI助手和Schema预览作为独立列 - Frontend: 流程设计器元数据和模式选择器合并为一行 - Keycloak: 自定义登录主题(中文化) - 修复CSS媒体查询括号平衡问题
146 lines
5.0 KiB
Python
146 lines
5.0 KiB
Python
from datetime import datetime
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from enum import StrEnum
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from pydantic import BaseModel, ConfigDict, Field, model_validator
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class LeaveType(StrEnum):
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PERSONAL = "PERSONAL"
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SICK = "SICK"
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ANNUAL = "ANNUAL"
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class LeaveDraftSuggestionRequest(BaseModel):
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text: str = Field(min_length=1, max_length=2000)
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timezone: str = Field(default="Asia/Shanghai", min_length=1, max_length=64)
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now: datetime | None = None
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class LeaveDraftSuggestion(BaseModel):
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type: LeaveType | None = None
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startsAt: datetime | None = None
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endsAt: datetime | None = None
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reason: str | None = Field(default=None, max_length=2000)
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assumptions: list[str] = Field(default_factory=list, max_length=10)
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needsClarification: list[str] = Field(default_factory=list, max_length=10)
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@model_validator(mode="after")
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def validate_time_range(self) -> "LeaveDraftSuggestion":
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if self.startsAt is not None and self.endsAt is not None:
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if self.startsAt.tzinfo is None or self.endsAt.tzinfo is None:
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raise ValueError("startsAt and endsAt must include timezone offsets")
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if self.endsAt <= self.startsAt:
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raise ValueError("endsAt must be later than startsAt")
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if self.reason is not None:
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normalized = self.reason.strip()
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self.reason = normalized or None
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return self
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class LeaveDraftSuggestionResponse(BaseModel):
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suggestion: LeaveDraftSuggestion
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model: str
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requiresUserConfirmation: bool = True
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class LeaveProgressContext(BaseModel):
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model_config = ConfigDict(extra="forbid")
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requestId: str
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type: LeaveType
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status: str
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startsAt: datetime
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endsAt: datetime
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activeTaskNames: list[str] = Field(default_factory=list, max_length=20)
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completedTaskNames: list[str] = Field(default_factory=list, max_length=50)
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processEnded: bool
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timelineEventTypes: list[str] = Field(default_factory=list, max_length=50)
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class LeaveProgressAnswerRequest(BaseModel):
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question: str = Field(min_length=1, max_length=2000)
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timezone: str = Field(min_length=1, max_length=64)
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context: LeaveProgressContext
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class LeaveProgressAnswerResponse(BaseModel):
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answer: str = Field(min_length=1, max_length=2000)
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model: str
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# ── AI 对话式设计助手（多阶段交互） ──────────────────────────────────
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class DesignerStage(StrEnum):
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UNDERSTANDING = "UNDERSTANDING"
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CLARIFYING = "CLARIFYING"
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GENERATING = "GENERATING"
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VALIDATING = "VALIDATING"
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CONFIRMING = "CONFIRMING"
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class DesignerFieldType(StrEnum):
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TEXT = "text"
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TEXT_AREA = "textArea"
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SELECT = "select"
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DATE_TIME = "dateTime"
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NUMBER = "number"
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class DesignerFormField(BaseModel):
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key: str = Field(min_length=1, max_length=64)
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label: str = Field(min_length=1, max_length=100)
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control: DesignerFieldType
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required: bool = False
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placeholder: str | None = Field(default=None, max_length=200)
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options: list[str] | None = Field(default=None, max_length=20)
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helperText: str | None = Field(default=None, max_length=200)
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class DesignerProcessStep(BaseModel):
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name: str = Field(min_length=1, max_length=100)
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assigneeVariable: str = Field(min_length=1, max_length=64)
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class DesignerProcessSuggestion(BaseModel):
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mode: str = Field(default="SERIAL", max_length=20)
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steps: list[DesignerProcessStep] = Field(default_factory=list, max_length=10)
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conditionThresholdDays: float | None = None
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class SchemaValidationIssue(BaseModel):
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field: str = Field(min_length=1, max_length=100)
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issue: str = Field(min_length=1, max_length=300)
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severity: str = Field(default="WARNING", max_length=20)
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class DesignerSuggestion(BaseModel):
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stage: DesignerStage = DesignerStage.UNDERSTANDING
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formTitle: str | None = Field(default=None, max_length=100)
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formKey: str | None = Field(default=None, max_length=64)
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fields: list[DesignerFormField] = Field(default_factory=list, max_length=30)
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process: DesignerProcessSuggestion | None = None
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summary: str = Field(default="", max_length=500)
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understanding: str = Field(default="", max_length=800)
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assumptions: list[str] = Field(default_factory=list, max_length=10)
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needsClarification: list[str] = Field(default_factory=list, max_length=10)
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validationIssues: list[SchemaValidationIssue] = Field(default_factory=list, max_length=20)
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schemaReady: bool = False
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class ChatTurn(BaseModel):
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role: str = Field(min_length=1, max_length=20)
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content: str = Field(min_length=1, max_length=4000)
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class DesignerSuggestionRequest(BaseModel):
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message: str = Field(min_length=1, max_length=2000)
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history: list[ChatTurn] = Field(default_factory=list, max_length=20)
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currentSchema: str | None = Field(default=None, max_length=8000)
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timezone: str = Field(default="Asia/Shanghai", min_length=1, max_length=64)
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class DesignerSuggestionResponse(BaseModel):
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suggestion: DesignerSuggestion
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model: str
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requiresUserConfirmation: bool = True
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