"""
Adds clue/cluewsc2020 samples to xwinograd
From: https://gist.github.com/jordiclive/26506ea7e897ad8270f9e793bdc285b5
"""

import json

import datasets
import pandas as pd
from datasets import load_dataset


def find_pronoun(x):
    pronoun = x["target"]["span2_text"]
    indices = [x["target"]["span2_index"], x["target"]["span2_index"] + len(pronoun)]
    return [pronoun, indices, list(pronoun)]


def find_switch(x):
    pronoun = x["target"]["span1_text"]
    indices = [x["target"]["span1_index"], x["target"]["span1_index"] + len(pronoun)]
    if x["label"] == 1:
        label = False
    else:
        label = True
    return [pronoun, indices, list(pronoun), label]


def convert_to_format(df):

    df["pronoun"] = df.apply(find_pronoun, axis=1)

    df["toks"] = df["text"].apply(lambda x: list(x))

    df["switch"] = df.apply(find_switch, axis=1)
    df.reset_index(inplace=True, drop=True)

    lang = []
    original = []
    o_text = []
    sent = []
    toks = []
    pronoun = []
    switch = []
    df["pronoun_to_replace"] = df["target"].apply(lambda x: x["span2_text"])
    for i, df_text in df.groupby(["text", "pronoun_to_replace"]):
        if len(df_text) == 1:
            continue
        df_text.reset_index(inplace=True, drop=True)
        try:
            if df_text["label"][0] != df_text["label"][1]:
                df_text = df_text[:2]
            elif df_text["label"][0] != df_text["label"][2] and len(df_text) > 2:
                df_text = df_text.iloc[[0, 2], :]
                df_text.reset_index(inplace=True, drop=True)
            df_new = df_text[:1]
            df_new["switch"] = df_new["switch"].apply(
                lambda x: [df_text["switch"][0], df_text["switch"][1]]
            )

            lang.append("zh")
            original.append("original")
            o_text.append("?")
            sent.append(df_new.iloc[0]["text"])
            toks.append(df_new.iloc[0]["toks"])
            pronoun.append(df_new.iloc[0]["pronoun"])
            switch.append(df_new.iloc[0]["switch"])

        except:
            continue

    total_df = pd.DataFrame(
        {0: lang, 1: original, 2: o_text, 3: sent, 4: toks, 5: pronoun, 6: switch}
    )
    count = total_df[5].apply(lambda x: len(x[0]))
    total_df[4] = total_df[4].apply(lambda x: json.dumps(x))
    total_df[5] = total_df[5].apply(lambda x: json.dumps(x))
    total_df[6] = total_df[6].apply(lambda x: json.dumps(x))
    return total_df, count


def remove_at(i, s):
    return s[:i] + s[i + 1 :]


def remove_to(x):
    if x["count"] == 2:
        return remove_at(x["sentence"].index("_") + 1, x["sentence"])
    else:
        return x["sentence"]


def get_original_splits():
    # xwinograd directory is https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc

    for j, i in enumerate(["en", "jp", "ru", "pt", "fr", "zh"]):
        if j == 0:
            dfx = datasets.load_dataset("xwinograd", i)["test"].to_pandas()
            dfx["lang"] = i
        else:
            df = datasets.load_dataset("xwinograd", i)["test"].to_pandas()
            df["lang"] = i
            dfx = pd.concat([dfx, df])
    return dfx


def get_examples_from_clue():
    # xwinograd directory is commit: https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc

    dataset = load_dataset("clue", "cluewsc2020")
    df = dataset["train"].to_pandas()
    df_val = dataset["validation"].to_pandas()
    df = pd.concat([df, df_val])
    new_examples, count = convert_to_format(df)
    new_examples.reset_index(inplace=True, drop=True)
    new_examples.to_csv(
        "xwinograd/data/xwinograd.tsv", sep="\t", header=None, index=False
    )
    df_post = datasets.load_dataset("xwinograd", "zh")
    df_post = df_post["test"].to_pandas()
    df_post["count"] = count
    df_post["sentence"] = df_post.apply(remove_to, axis=1)
    df_post = df_post[["sentence", "option1", "option2", "answer"]]
    return df_post


if __name__ == "__main__":
    # xwinograd directory is commit: https://huggingface.co/datasets/Muennighoff/xwinograd/tree/9dbcc59f86f9e53e0b36480d806982499d877edc
    dfx = get_original_splits()
    df_post = get_examples_from_clue()
    df_post.to_json("new_examples_updated.json", orient="split")
    df_post["lang"] = "zh"
    dfx = pd.concat([dfx, df_post])
    dfx.drop_duplicates()
    dfx.reset_index(inplace=True, drop=True)
    dfx.to_json("all_examples_updated.json", orient="split")