import os

import pyarrow as pa
import pyarrow.parquet as pq

import datasets

_REPO_NAME = 'Fsoft-AIC/the-vault'

_LANG_TO_EXTENSION = {
    "Python": [".py"],
    "C": [".c", ".h"],
    "C#": [".cs"],
    "C++": [".cpp", ".hpp", ".c++", ".h++", ".cc", ".hh", ".C", ".H"],
    "Go": [".go"],
    "Java": [".java"],
    "JavaScript": [".js"],
    "PHP": [".php", ".php3", ".php4", ".php5", ".phps", ".phpt"],
    "Ruby": [".rb"],
    "Rust": [".rs"],
}


_DESCRIPTION = """The Vault"""

_HOMEPAGE = "https://huggingface.co/Fsoft-AIC"


_EXTENSION_TO_LANG = {}
for lang in _LANG_TO_EXTENSION:
    for extension in _LANG_TO_EXTENSION[lang]:
        _EXTENSION_TO_LANG[extension] = lang


        
_LANG_CONFIGS = ["all"] + list(_LANG_TO_EXTENSION.keys())

num_shard_split = {
    'train/small': 2,
    'train/medium': 4
}  
splits = ["all"] + list(num_shard_split.keys())

class TheVaultConfig(datasets.BuilderConfig):
    """BuilderConfig for The Vault dataset."""

    def __init__(self, *args, languages=["all"], split_set= "all", **kwargs):
        """BuilderConfig for the GitHub Code dataset.
        Args:
            languages (:obj:`List[str]`): List of languages to load.
            **kwargs: keyword arguments forwarded to super.
        """
        super().__init__(
            *args,
            name= split_set.replace("/", "_") + "_" + "+".join(languages),
            **kwargs,
        )
        
        languages = set(languages)
        
        assert all([language in _LANG_CONFIGS for language in languages]), f"Language not in {_LANG_CONFIGS}."
        if split_set != "all":
            assert split_set in num_shard_split, "split_set {} not in {}.".format(split_set, list(num_shard_split.keys()))
        
        if "all" in languages:
            assert len(languages)==1, f"Passed 'all' together with other languages. {languages}"
            self.filter_languages = False
        else:
            self.filter_languages = True
        
        self.languages = set(languages)
        self.split_set= split_set


class TheVault(datasets.GeneratorBasedBuilder):
    """The Vault dataset."""

    VERSION = datasets.Version("1.0.0")
    
    BUILDER_CONFIG_CLASS = TheVaultConfig
    BUILDER_CONFIGS = [TheVaultConfig(languages=[lang], split_set=spl) for lang in _LANG_CONFIGS for spl in splits]
    DEFAULT_CONFIG_NAME = "all-all"

    
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({"original_string": datasets.Value("string"),
                                        "original_docstring": datasets.Value("string"),
                                        "code": datasets.Value("string"),
                                        "docstring": datasets.Value("string"),
                                        "code_tokens": datasets.Value("string"),
                                        "docstring_tokens": datasets.Value("string"),
                                        "short_docstring": datasets.Value("string"),
                                        "comment": datasets.Value("string"),
                                        "return_type": datasets.Value("string"),
                                        "identifier": datasets.Value("string"),
                                        "repo": datasets.Value("string"),
                                        "path": datasets.Value("string"), 
                                        "language": datasets.Value("string"),
                                        }),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            license="Multiple: see the 'license' field of each sample.",
            
        )

    def _split_generators(self, dl_manager):
        print(self.config.split_set)
        if self.config.split_set == "all":
            generators = []
            for split in num_shard_split:
                num_shards = num_shard_split[split]
                data_files = [
                    f"data/{split}-{_index:05d}-of-{num_shards:05d}.parquet"
                    for _index in range(num_shards)
                ]
                files = dl_manager.download(data_files)
                generators.append(
                    datasets.SplitGenerator(
                        name=split.replace("/", "_"),
                        gen_kwargs={
                            "files": files,
                        },
                    ),
                )
            return generators

        else:
            num_shards = num_shard_split[self.config.split_set]
            data_files = [
                f"data/{self.config.split_set}-{_index:05d}-of-{num_shards:05d}.parquet"
                for _index in range(num_shards)
            ]
            files = dl_manager.download(data_files)
            return [
                datasets.SplitGenerator(
                    name=self.config.split_set.replace("/", "_"),
                    gen_kwargs={
                        "files": files,
                    },
                ),
            ]

    def _generate_examples(self, files):
        key = 0
        for file_idx, file in enumerate(files):
            with open(file, "rb") as f:
                parquet_file = pq.ParquetFile(f)
                for batch_idx, record_batch in enumerate(parquet_file.iter_batches(batch_size=10_000)):
                    pa_table = pa.Table.from_batches([record_batch])
                    for row_index in range(pa_table.num_rows):
                        row = pa_table.slice(row_index, 1).to_pydict()
                        
                        lang = row['language'][0]
                        
                        if self.config.filter_languages and not lang in self.config.languages:
                            continue
                        
                        yield key, {
                                        "original_string": datasets.Value("string"),
                                        "original_docstring": datasets.Value("string"),
                                        "code": datasets.Value("string"),
                                        "docstring": datasets.Value("string"),
                                        "code_tokens": datasets.Value("string"),
                                        "docstring_tokens": datasets.Value("string"),
                                        "short_docstring": datasets.Value("string"),
                                        "comment": datasets.Value("string"),
                                        "return_type": datasets.Value("string"),
                                        "identifier": datasets.Value("string"),
                                        "repo": datasets.Value("string"),
                                        "path": datasets.Value("string"), 
                                        "language": datasets.Value("string"),
                                    } 
                        key += 1

                        
def lang_from_name(name):
    for extension in _EXTENSION_TO_LANG:
        if name.endswith(extension):
            return _EXTENSION_TO_LANG[extension]