import os
from datasets import DatasetBuilder, DatasetInfo, SplitGenerator, Split, Features, Value

class DopplerRetina(DatasetBuilder):
    VERSION = "1.0.0"

    def _info(self):
        return DatasetInfo(
            description="Retinal Doppler artery/vein segmentation dataset",
            features=Features({
                "measure_id": Value("string"),
                "m0": Value("string"),
                "correlation": Value("string"),
                "diasys": Value("string"),
                "artery_mask": Value("string"),
                "vein_mask": Value("string"),
            }),
        )

    def _split_generators(self, dl_manager):
        repo_dir = dl_manager.download_and_extract(self.base_path)

        return [
            SplitGenerator(
                name=Split.TRAIN,
                gen_kwargs={"path": os.path.join(repo_dir, "train")},
            ),
            SplitGenerator(
                name=Split.TEST,
                gen_kwargs={"path": os.path.join(repo_dir, "test")},
            ),
        ]

    def _generate_examples(self, path):
        for measure in sorted(os.listdir(path)):
            mdir = os.path.join(path, measure)
            if not os.path.isdir(mdir):
                continue

            yield measure, {
                "measure_id": measure,
                "m0": os.path.join(mdir, "M0.png"),
                "correlation": os.path.join(mdir, "correlation.png"),
                "diasys": os.path.join(mdir, "diasys.png"),
                "artery_mask": os.path.join(mdir, "maskArtery.png"),
                "vein_mask": os.path.join(mdir, "maskVein.png"),
            }