You've already forked DataMate
123 lines
3.8 KiB
Python
123 lines
3.8 KiB
Python
from typing import List, Optional, Dict, Any
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from datetime import datetime
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from pydantic import BaseModel, Field, field_validator
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from app.core.logging import get_logger
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from app.module.shared.schema.common import TaskStatus
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logger = get_logger(__name__)
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class FilterCondition(BaseModel):
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date_range: Optional[str] = Field(None, description="数据范围", alias="dateRange")
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label: Optional[str] = Field(None, description="标签")
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@field_validator("date_range")
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@classmethod
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def validate_date_range(cls, v: Optional[str]) -> Optional[str]:
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# ensure it's a numeric string if provided
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if not v:
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return v
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try:
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int(v)
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return v
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except (ValueError, TypeError) as e:
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raise ValueError("date_range must be a numeric string")
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class Config:
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# allow population by field name when constructing model programmatically
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validate_by_name = True
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class RatioConfigItem(BaseModel):
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dataset_id: str = Field(..., alias="datasetId", description="数据集id")
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counts: str = Field(..., description="数量")
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filter_conditions: FilterCondition = Field(..., alias="filterConditions", description="过滤条件")
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@field_validator("counts")
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@classmethod
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def validate_counts(cls, v: str) -> str:
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# ensure it's a numeric string
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try:
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int(v)
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except Exception:
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raise ValueError("counts must be a numeric string")
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return v
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class CreateRatioTaskRequest(BaseModel):
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name: str = Field(..., description="名称")
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description: Optional[str] = Field(None, description="描述")
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totals: str = Field(..., description="目标数量")
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config: List[RatioConfigItem] = Field(..., description="配比设置列表")
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@field_validator("totals")
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@classmethod
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def validate_totals(cls, v: str) -> str:
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try:
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iv = int(v)
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if iv < 0:
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raise ValueError("totals must be >= 0")
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except Exception:
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raise ValueError("totals must be a numeric string")
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return v
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class TargetDatasetInfo(BaseModel):
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id: str
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name: str
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datasetType: str
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status: str
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class CreateRatioTaskResponse(BaseModel):
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# task info
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id: str
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name: str
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description: Optional[str] = None
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totals: int
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status: TaskStatus
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# echoed config
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config: List[RatioConfigItem]
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# created dataset
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targetDataset: TargetDatasetInfo
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class RatioTaskItem(BaseModel):
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id: str
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name: str
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description: Optional[str] = None
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status: Optional[str] = None
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totals: Optional[int] = None
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ratio_method: Optional[str] = None
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target_dataset_id: Optional[str] = None
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target_dataset_name: Optional[str] = None
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created_at: Optional[str] = None
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updated_at: Optional[str] = None
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class PagedRatioTaskResponse(BaseModel):
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content: List[RatioTaskItem]
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totalElements: int
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totalPages: int
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page: int
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size: int
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class RatioTaskDetailResponse(BaseModel):
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"""Detailed response for a ratio task."""
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id: str = Field(..., description="任务ID")
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name: str = Field(..., description="任务名称")
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description: Optional[str] = Field(None, description="任务描述")
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status: str = Field(..., description="任务状态")
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totals: int = Field(..., description="目标总数")
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ratio_method: str = Field(..., description="配比方式")
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config: List[Dict[str, Any]] = Field(..., description="配比配置")
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target_dataset: Dict[str, Any] = Field(..., description="目标数据集信息")
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created_at: Optional[datetime] = Field(None, description="创建时间")
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updated_at: Optional[datetime] = Field(None, description="更新时间")
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class Config:
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json_encoders = {
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datetime: lambda v: v.isoformat() if v else None
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}
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