from pydantic import BaseModel, Field, field_validator
from pathlib import Path
from .CellSegmenterConfig import ModelType
from .FeatureExtractorConfig import ExtractorType
from .MIL import MILType
[docs]class MILPredictorConfig(BaseModel):
"""Configuration for MIL prediction using CLAM or standard MIL models"""
model: MILType = Field(..., description="Type of MIL model to use")
gpu: int = Field(0, description="GPU index to use for prediction")
patched_slide_path: Path = Field(..., description="Path to the patched slide image")
extractor: ExtractorType = Field(..., description="Feature extractor to use for patch extraction")
segmentation_model: ModelType = Field(..., description="Segmentation model used to extract cells")
chkpt_path: Path | None = Field(None, description="Path to the checkpoint file for the MIL model")
[docs] @field_validator('model')
def validate_model(cls, v: str) -> str:
if v not in MILType.values():
raise ValueError(f"Unsupported MIL model type: {v}. Supported models are: {MILType.values()}")
return v
[docs] class Config:
arbitrary_types_allowed = True
