#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import shutil
import uuid
from functools import partial
from pathlib import Path
from typing import Dict, Iterable

import datasets
from datasets import DatasetDict, DownloadManager, load_dataset
import pandas as pd


VERSION = datasets.Version("0.0.1")

AVAILABLE_DATASETS = {
    "job_titles": "https://github.com/jneidel/job-titles"
}

class JobTitlesDataset(datasets.GeneratorBasedBuilder):
    """JobTitlesDataset dataset."""

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name=data_name, version=VERSION, description=f"{data_name} dataset"
        )
        for data_name in AVAILABLE_DATASETS
    ]

    @staticmethod
    def load(data_name_config: str = "job_titles") -> DatasetDict:
        ds = load_dataset(__file__, data_name_config)
        return ds

    def _info(self) -> datasets.DatasetInfo:
        return datasets.DatasetInfo(
            description="",
            features=datasets.Features(
                {
                    "id": datasets.Value("string"),
                    "name": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage="https://github.com/jneidel/job-titles",
            citation="",
        )

    def _split_generators(
        self, dl_manager: DownloadManager
    ) -> Iterable[datasets.SplitGenerator]:
        git_repo = AVAILABLE_DATASETS[self.config.name]
        current_dir = Path(__file__).resolve().parent
        temp_dir = current_dir / uuid.uuid4().hex
        temp_dir.mkdir(exist_ok=True)
        os.system(f"cd {temp_dir} && git clone {git_repo}")
        shutil.copy(temp_dir / "job-titles" / "job-titles.txt", current_dir)
        shutil.rmtree(f"{temp_dir}")
        filepath = str(current_dir / "job-titles.txt")

        # There is no predefined train/val/test split for this dataset.
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": filepath
                },
            ),
        ]

    def _generate_examples(self, filepath: str) -> Iterable[Dict]:
        with open(filepath, "r") as f_in:
            for idx, line in enumerate(f_in):
                line = line.strip()
                yield idx, {
                    "id": idx,
                    "name": line
                }