import os
from utils import read_json_file, parse, write_jsonl_file
import pandas as pd


idx2emotions = [
    "admiration",
    "amusement",
    "anger",
    "annoyance",
    "approval",
    "caring",
    "confusion",
    "curiosity",
    "desire",
    "disappointment",
    "disapproval",
    "disgust",
    "embarrassment",
    "excitement",
    "fear",
    "gratitude",
    "grief",
    "joy",
    "love",
    "nervousness",
    "optimism",
    "pride",
    "realization",
    "relief",
    "remorse",
    "sadness",
    "surprise",
]


def preprocess(args, split):
    output_file = os.path.join(args.output_dir, f"{split}.jsonl")
    if split == "dev":
        split = "valid"

    input_file = os.path.join(args.input_dir, f"{split}.csv")

    data = pd.read_csv(input_file)

    utterances = data["text"].values
    emotion_ids = data["label"].values

    processed_data = []
    for index, utterance in enumerate(utterances):
        dialogue = {
            "turn": "single",
            "locale": "en",
            "dialog": [{"roles": ["USER"], "utterance": utterance, "emotions": []}],
        }

        dialogue["dialog"][-1]["emotions"].append(
            {"emotion": idx2emotions[emotion_ids[index]]}
        )

        processed_data.append(dialogue)

    write_jsonl_file(processed_data, output_file)


if __name__ == "__main__":
    args = parse()
    preprocess(args, "train")
    preprocess(args, "dev")
    preprocess(args, "test")