mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
d34d4a4c50
- 重构工作流模块目录结构，迁移代码文件 - 修复类型断言空值安全问题，添加 ! 操作符 - 优化样式类名，替换 flex-cc 为标准 flex 工具类 - 更新路由标签简化文案，移除冗余注释 - 调整 ruff 配置，放宽行长度限制 - 更新 README 与多语言文案，优化项目描述 - 修复表单、图表组件的类型与样式问题 - 简化搜索表单、数据卡片的布局代码
132 lines
4.8 KiB
Python
132 lines
4.8 KiB
Python
import re
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from typing import Any
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from fastapi import Query
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from app.common.enums import QueueEnum
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from app.core.base_params import BaseQueryParam, TenantByQueryParam, UserByQueryParam
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from app.core.base_schema import TenantBySchema, UserBySchema
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from app.core.validator import DateTimeStr
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class WorkflowCreateSchema(BaseModel):
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"""创建工作流"""
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name: str = Field(..., max_length=128, description="流程名称")
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code: str = Field(..., max_length=64, description="流程编码")
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description: str | None = Field(default=None, description="描述")
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nodes: list | None = Field(default=None, description="Vue Flow nodes")
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edges: list | None = Field(default=None, description="Vue Flow edges")
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@field_validator("name")
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@classmethod
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def validate_name(cls, v: str) -> str:
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v = v.strip()
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if len(v) < 1 or len(v) > 128:
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raise ValueError("流程名称长度必须在1-128个字符之间")
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return v
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@field_validator("code")
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@classmethod
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def validate_code(cls, v: str) -> str:
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v = v.strip()
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if len(v) < 2 or len(v) > 64:
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raise ValueError("流程编码长度必须在2-64个字符之间")
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if not re.match(r"^[A-Za-z][A-Za-z0-9_]*$", v):
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raise ValueError("流程编码必须以字母开头，仅允许字母、数字、下划线")
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return v
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class WorkflowUpdateSchema(WorkflowCreateSchema):
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"""更新工作流"""
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workflow_status: str | None = Field(default=None, max_length=32, description="draft/published/archived")
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@field_validator("workflow_status")
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@classmethod
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def validate_workflow_status(cls, v: str | None) -> str | None:
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if v is None:
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return v
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allowed = {"draft", "published", "archived"}
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v = v.strip()
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if v not in allowed:
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raise ValueError(f"流程状态必须为 {allowed}")
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return v
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class WorkflowOutSchema(UserBySchema, TenantBySchema):
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"""工作流输出（status 表示流程状态 draft/published/archived，与 ModelMixin.status 区分）"""
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model_config = ConfigDict(from_attributes=True)
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id: int | None = Field(default=None, description="主键ID")
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uuid: str | None = Field(default=None, description="UUID")
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description: str | None = Field(default=None, description="描述")
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created_time: DateTimeStr | None = Field(default=None, description="创建时间")
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updated_time: DateTimeStr | None = Field(default=None, description="更新时间")
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name: str = Field(description="流程名称")
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code: str = Field(description="流程编码")
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status: str = Field(description="流程状态 draft/published/archived")
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nodes: list | None = Field(default=None, description="节点")
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edges: list | None = Field(default=None, description="连线")
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@model_validator(mode="before")
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@classmethod
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def _map_workflow_status(cls, data: Any) -> Any:
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from .model import WorkflowModel
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if isinstance(data, WorkflowModel):
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return {
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"id": data.id,
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"uuid": data.uuid,
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"description": data.description,
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"created_time": data.created_time,
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"updated_time": data.updated_time,
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"created_id": data.created_id,
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"updated_id": data.updated_id,
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"name": data.name,
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"code": data.code,
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"status": data.workflow_status,
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"nodes": data.nodes,
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"edges": data.edges,
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}
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return data
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class WorkflowQueryParam(BaseQueryParam, UserByQueryParam, TenantByQueryParam):
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"""工作流查询"""
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def __init__(
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self,
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name: str | None = Query(None, description="流程名称"),
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code: str | None = Query(None, description="流程编码"),
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*args,
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**kwargs,
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) -> None:
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super().__init__(*args, **kwargs)
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self.name = (QueueEnum.like.value, name) if name else None
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self.code = (QueueEnum.like.value, code) if code else None
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class WorkflowExecuteSchema(BaseModel):
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"""执行工作流"""
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workflow_id: int = Field(..., description="工作流ID")
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variables: dict | None = Field(default=None, description="注入到各节点的 variables 上下文")
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business_key: str | None = Field(default=None, description="业务键")
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job_id: int | None = Field(default=None, description="关联任务ID")
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class WorkflowExecuteResultSchema(BaseModel):
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"""执行结果"""
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workflow_id: int
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workflow_name: str
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status: str = Field(description="completed/failed")
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start_time: str | None = None
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end_time: str | None = None
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variables: dict | None = None
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node_results: dict | None = None
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error: str | None = None
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