"""
- Wiki-One https://sites.cs.ucsb.edu/~xwhan/datasets/wiki.tar.gz
- NELL-One https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz

wget https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz
tar -xzf nell.tar.gz

wget https://sites.cs.ucsb.edu/~xwhan/datasets/wiki.tar.gz
tar -xzf wiki.tar.gz

"""
import os
import json
from itertools import chain

data_dir_nell = "NELL"
data_dir_wiki = "Wiki"
os.makedirs("data", exist_ok=True)

if not os.path.exists(data_dir_nell):
    raise ValueError("Please download the dataset first\n"
                     "wget https://sites.cs.ucsb.edu/~xwhan/datasets/nell.tar.gz\n"
                     "tar -xzf nell.tar.gz")

if not os.path.exists(data_dir_wiki):
    raise ValueError("Please download the dataset first\n"
                     "wget https://sites.cs.ucsb.edu/~xwhan/datasets/wiki.tar.gz\n"
                     "tar -xzf wiki.tar.gz")


def read_file(_file):
    with open(_file, 'r') as f_reader:
        tmp = json.load(f_reader)
    flatten = list(chain(*[[{"relation": r, "head": h, "tail": t} for (h, r, t) in v] for v in tmp.values()]))
    # flatten = {}
    # for k, v in tmp.items():
    #     flatten[k] = [{"relation": r, "head": h, "tail": t} for (h, r, t) in v]
    return flatten


def read_vocab(_file):
    with open(_file) as f_reader:
        ent2ids = json.load(f_reader)
    return sorted(list(ent2ids.keys()))


if __name__ == '__main__':
    vocab = read_vocab(f"{data_dir_nell}/ent2ids")
    with open("data/nell.vocab.txt", 'w') as f:
        f.write("\n".join(vocab))

    vocab = read_vocab(f"{data_dir_wiki}/ent2ids")
    with open("data/wiki.vocab.txt", 'w') as f:
        f.write("\n".join(vocab))

    for i, s in zip(['dev_tasks.json', 'test_tasks.json', 'train_tasks.json'], ['validation', 'test', 'train']):
        d = read_file(f"{data_dir_nell}/{i}")
        with open(f"data/nell.{s}.jsonl", "w") as f:
            f.write("\n".join([json.dumps(_d) for _d in d]))

        d = read_file(f"{data_dir_wiki}/{i}")
        with open(f"data/wiki.{s}.jsonl", "w") as f:
            f.write("\n".join([json.dumps(_d) for _d in d]))