import os
import json
import hashlib

data = json.loads(open("dev.json").read())


with open("queries.jsonl", "w") as f:
    for d in data:
        q = {"_id": d["_id"], "text": d["question"], "metadata": {"answer": [d["answer"]]}}
        f.write(json.dumps(q) + "\n")


with open("corpus.jsonl", "w") as f:
    for d in data:
        for idx, ci in enumerate(d["context"]):
            c = {"_id": f"{d['_id']}_{idx}", "text": ci[0] + ": " + " ".join(ci[1])}
            f.write(json.dumps(c) + "\n")


here = os.path.dirname(os.path.abspath("."))


def prepare_json_dataset():
    hash_ids = set()
    with open(os.path.join(here, "corpus.txt"), "w") as fout:
        with open(os.path.join(here, "corpus.jsonl"), "r") as fin:
            for line in fin:
                line = json.loads(line)
                hash_id = hashlib.md5(line["text"].encode("utf-8")).hexdigest()
                if hash_id in hash_ids:
                    continue
                else:
                    fout.write(line["text"] + "\n")
                    hash_ids.add(hash_id)


prepare_json_dataset()