54 lines
1.1 KiB
Python
54 lines
1.1 KiB
Python
from __future__ import annotations
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from dataclasses import dataclass
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from typing import Protocol, Any
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import pandas as pd
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@dataclass(frozen=True)
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class SlotDescriptor:
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"""
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Metadata for a generic batch slot key (e.g., image_1, matrix_1).
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"""
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key: str
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kind: str
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description: str
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required: bool = True
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shape_hint: str | None = None
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class DatasetProfile(Protocol):
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"""
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Dataset-specific wiring that stays outside the generic V2 engine.
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"""
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name: str
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patient_col: str
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label_col: str
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def slot_descriptors(self) -> dict[str, SlotDescriptor]:
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...
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def semantic_aliases(self) -> dict[str, str]:
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...
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def build_samples(self, *, df: pd.DataFrame, clinical: Any) -> list[dict[str, Any]]:
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...
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@dataclass(frozen=True)
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class SimpleDatasetProfile:
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name: str
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patient_col: str
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label_col: str
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slots: dict[str, SlotDescriptor]
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aliases: dict[str, str]
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def slot_descriptors(self) -> dict[str, SlotDescriptor]:
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return dict(self.slots)
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def semantic_aliases(self) -> dict[str, str]:
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return dict(self.aliases)
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