from pydantic import BaseModel, Field, field_validator from typing import Optional, List, Any, Dict from datetime import datetime from enum import Enum class FieldType(str, Enum): TEXT = "text" NUMBER = "number" DROPDOWN = "dropdown" DATE = "date" PERSON = "person" FORMULA = "formula" class CustomFieldBase(BaseModel): name: str = Field(..., min_length=1, max_length=100) field_type: FieldType options: Optional[List[str]] = None # For dropdown type formula: Optional[str] = None # For formula type is_required: bool = False @field_validator('options') @classmethod def validate_options(cls, v, info): field_type = info.data.get('field_type') if field_type == FieldType.DROPDOWN: if not v or len(v) == 0: raise ValueError('Dropdown fields must have at least one option') if len(v) > 50: raise ValueError('Dropdown fields can have at most 50 options') return v @field_validator('formula') @classmethod def validate_formula(cls, v, info): field_type = info.data.get('field_type') if field_type == FieldType.FORMULA and not v: raise ValueError('Formula fields must have a formula expression') return v class CustomFieldCreate(CustomFieldBase): pass class CustomFieldUpdate(BaseModel): name: Optional[str] = Field(None, min_length=1, max_length=100) options: Optional[List[str]] = None formula: Optional[str] = None is_required: Optional[bool] = None class CustomFieldResponse(CustomFieldBase): id: str project_id: str position: int created_at: datetime updated_at: datetime class Config: from_attributes = True class CustomFieldListResponse(BaseModel): fields: List[CustomFieldResponse] total: int # Task custom value schemas class CustomValueInput(BaseModel): field_id: str value: Optional[Any] = None # Can be string, number, date string, or user id class CustomValueResponse(BaseModel): field_id: str field_name: str field_type: FieldType value: Optional[Any] = None display_value: Optional[str] = None # Formatted for display class Config: from_attributes = True class TaskCustomValuesUpdate(BaseModel): custom_values: List[CustomValueInput]