"""The data contract for the models that do not exist yet.

`cattle_weight` and `cattle_bcs` cannot be built from a pretrained detector.
They need labelled Nigerian data that nobody has collected. This package is what
turns that from an intention into a task with a definition of done: the record
format the labelling has to produce, the rules that decide whether a record is
ground truth or merely an opinion, and the numbers a trained model has to beat
before its capability moves off `coming_soon`.

There is deliberately no trainer here. A training loop written before the data
exists is a guess about the data.
"""

from app.training.gates import PROMOTION_GATES, PromotionGate
from app.training.schema import BcsSample, BcsScore, FrameRef, ScaleReference, WeightSample

__all__ = [
    "PROMOTION_GATES",
    "PromotionGate",
    "BcsSample",
    "BcsScore",
    "FrameRef",
    "ScaleReference",
    "WeightSample",
]