import json
import csv
from pathlib import Path

SRC = Path("data/toeic_vocabulary.json")
OUT_JSONL = Path("data/toeic_vocabulary_flat.jsonl")
OUT_CSV = Path("data/toeic_vocabulary_flat.csv")

def main():
    data = json.loads(SRC.read_text(encoding="utf-8"))
    vocab_groups = data.get("vocabulary_by_importance", {})

    rows = []
    for importance_group, items in vocab_groups.items():
        if not isinstance(items, list):
            continue
        for item in items:
            row = {
                "importance_group": importance_group,
                "english_word": item.get("english_word"),
                "chinese_definition": item.get("chinese_definition"),
                "star_rating": item.get("star_rating"),
                "category": item.get("category"),
                "parts_of_speech": "|".join(item.get("parts_of_speech", []) or []),
                "word_forms": json.dumps(item.get("word_forms", {}), ensure_ascii=False),
                "examples": json.dumps(item.get("examples", []), ensure_ascii=False),
            }
            rows.append(row)

    # write jsonl
    with OUT_JSONL.open("w", encoding="utf-8", newline="\n") as f:
        for r in rows:
            f.write(json.dumps(r, ensure_ascii=False) + "\n")

    # write csv
    cols = [
        "importance_group",
        "english_word",
        "chinese_definition",
        "star_rating",
        "category",
        "parts_of_speech",
        "word_forms",
        "examples",
    ]
    with OUT_CSV.open("w", encoding="utf-8", newline="") as f:
        writer = csv.DictWriter(f, fieldnames=cols)
        writer.writeheader()
        for r in rows:
            writer.writerow(r)

if __name__ == "__main__":
    main()