data/evaluation/jsonloader.py

from pathlib import Path
import json


def load_predictions_json(fname: Path):

    cases = {}

    with open(fname, "r") as f:
        entries = json.load(f)

    if isinstance(entries, float):
        raise TypeError(f"entries of type float for file: {fname}")

    for e in entries:
        # Find case name through input file name
        inputs = e["inputs"]
        name = None
        for input in inputs:
            if input["interface"]["slug"] == "3d-teeth-scan":
                name = input["file"].split('/')[-1].split('.')[0] #str(input["image"]["name"])
                break  # expecting only a single input
        if name is None:
            raise ValueError(f"No filename found for entry: {e}")

        entry = {"name": name}

        # Find output value for this case
        outputs = e["outputs"]

        for output in outputs:
            if output["interface"]["slug"] == "dental-labels":
                # cases[name] = output['value']
                # cases[name] = e["pk"]
                cases[name] = output["file"]
    return cases


def test():
    mapping_dict = load_predictions_json(Path("predictions.json"))
    return mapping_dict


if __name__ == "__main__":

    mapping_dict = test()
    print()