import os
import sys 
import csv
import datasets
csv.field_size_limit(sys.maxsize)

_DESCRIPTION = "JEMMA Java CMPX"
_CITATION    = "NOT AVAILABLE"
_HOMEPAGE    = "NOT AVAILABLE"
_LICENSE     = "MIT"


_BASE_TRAIN_FILE_URL = "https://huggingface.co/datasets/giganticode/java-cmpx/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TRAIN.csv"
_BASE_TEST_FILE_URL  = "https://huggingface.co/datasets/giganticode/java-cmpx/resolve/main/Jemma_Properties_Methods_CMPX__Huggingface_Dataset_TEST.csv"

_URLS = {
    "train": _BASE_TRAIN_FILE_URL,
    "test": _BASE_TEST_FILE_URL             
}

class JavaCMPX(datasets.GeneratorBasedBuilder):
    """Java CMPX"""

    def _info(self):
        """Returns Info"""
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "method_id": datasets.Value("string"),
                    "cyclomatic_complexity": datasets.Value("int32"),
                    "method_text": datasets.Value("string")
                }
            ),
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators"""
        data_file = dl_manager.download(_URLS)
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file["train"]}),
            datasets.SplitGenerator(name=datasets.Split.TEST,  gen_kwargs={"filepath": data_file["test"]}),
        ]     


    def _generate_examples(self, filepath):
        """Yields Examples"""
        with open(filepath, encoding="utf-8") as f:
            reader = csv.reader(f)
            for id_, row in enumerate(reader):
                if id_ == 0:
                    continue
                yield id_, {
                    "method_id": row[0],
                    "cyclomatic_complexity": row[1],
                    "method_text": row[2],
                }