import json

import datasets

_DESCRIPTION = """The Transcoder dataset in BabelCode format. Currently supports translation from C++ and Python."""

_URL = "https://raw.githubusercontent.com/google-research/babelcode/main/data/hf_datasets/transcoder.jsonl"

_LANGUAGES = {
    "C++",
    "CSharp",
    "Dart",
    "Go",
    "Haskell",
    "Java",
    "Javascript",
    "Julia",
    "Kotlin",
    "Lua",
    "PHP",
    "Python",
    "R",
    "Rust",
    "Scala",
    "TypeScript",
}

_CITATION = """\
@article{orlanski2023measuring,
  title={Measuring The Impact Of Programming Language Distribution},
  author={Orlanski, Gabriel and Xiao, Kefan and Garcia, Xavier and Hui, Jeffrey and Howland, Joshua and Malmaud, Jonathan and Austin, Jacob and Singh, Rishah and Catasta, Michele},
  journal={arXiv preprint arXiv:2302.01973},
  year={2023}
}
@article{roziere2020unsupervised,
  title={Unsupervised translation of programming languages},
  author={Roziere, Baptiste and Lachaux, Marie-Anne and Chanussot, Lowik and Lample, Guillaume},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  year={2020}
}"""

_HOMEPAGE = "https://github.com/google-research/babelcode"

_LICENSE = "CC-BY-4.0"

_VERSION = "1.0.0"

_KEYS_REMOVE = {"text", "signature_with_docstring"}


class BCTranscoder(datasets.GeneratorBasedBuilder):
  """BC-Transcoder"""

  VERSION = datasets.Version(_VERSION)

  BUILDER_CONFIGS = [
      datasets.BuilderConfig(
          name="all",
          version=datasets.Version(_VERSION),
          description=_DESCRIPTION,
      ),
  ] + [
      datasets.BuilderConfig(
          name=lang,
          version=datasets.Version(_VERSION),
          description=_DESCRIPTION + f" Examples are only in {lang}.",
      ) for lang in _LANGUAGES
  ]

  DEFAULT_CONFIG_NAME = "all"

  def _info(self):
    features = datasets.Features({
        "qid": datasets.Value("string"),
        "title": datasets.Value("string"),
        "language": datasets.Value("string"),
        "signature": datasets.Value("string"),
        "arguments": datasets.Sequence(datasets.Value("string")),
        "entry_fn_name": datasets.Value("string"),
        "entry_cls_name": datasets.Value("string"),
        "test_code": datasets.Value("string"),
        "source_py": datasets.Value("string"),
        "source_cpp": datasets.Value("string"),
        "test_list": datasets.Value("string"),
        "test_case_ids":datasets.Sequence(datasets.Value("string"))
    })
    description = _DESCRIPTION
    if self.config.name != 'all':
      description = _DESCRIPTION + f" Examples are only in {self.config.name}."
    return datasets.DatasetInfo(
        description=description,
        features=features,
        supervised_keys=None,
        homepage=_HOMEPAGE,
        license=_LICENSE,
        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
    """Returns SplitGenerators."""
    data_dir = dl_manager.download_and_extract(_URL)
    return [
        datasets.SplitGenerator(
            name=datasets.Split.TEST,
            gen_kwargs={"filepath": data_dir},
        ),
    ]

  def _generate_examples(self, filepath):
    """ Yields the examples from the dataset"""
    with open(filepath, encoding='utf-8') as file:
      id_ = 0
      for l in file:
        if not l.strip():
          continue
        d = json.loads(l)

        if self.config.name != 'all' and d['language'] != self.config.name:
          continue
        
        
        d['test_list'] = json.dumps(d['test_list'])
        
        d['source_py'] = d.pop('solution_python')
        d['source_cpp'] = d.pop('solution_cpp')

        for k in _KEYS_REMOVE:
          d.pop(k)
        yield id_, d
        id_ += 1