import os
import random
import uuid

import numpy as np


def seed_everything(seed):
    random.seed(seed)
    np.random.seed(seed)
    try:
        import torch

        torch.manual_seed(seed)
        torch.cuda.manual_seed_all(seed)
    except:
        pass
    return seed


def cut_dialogue_history(history_memory, keep_last_n_words=500):
    tokens = history_memory.split()
    n_tokens = len(tokens)
    print(f"history_memory:{history_memory}, n_tokens: {n_tokens}")
    if n_tokens < keep_last_n_words:
        return history_memory
    else:
        paragraphs = history_memory.split("\n")
        last_n_tokens = n_tokens
        while last_n_tokens >= keep_last_n_words:
            last_n_tokens = last_n_tokens - len(paragraphs[0].split(" "))
            paragraphs = paragraphs[1:]
        return "\n" + "\n".join(paragraphs)


def get_new_image_name(org_img_name, func_name="update"):
    head_tail = os.path.split(org_img_name)
    head = head_tail[0]
    tail = head_tail[1]
    name_split = tail.split(".")[0].split("_")
    this_new_uuid = str(uuid.uuid4())[0:4]
    if len(name_split) == 1:
        most_org_file_name = name_split[0]
        recent_prev_file_name = name_split[0]
        new_file_name = "{}_{}_{}_{}.png".format(
            this_new_uuid, func_name, recent_prev_file_name, most_org_file_name
        )
    else:
        assert len(name_split) == 4
        most_org_file_name = name_split[3]
        recent_prev_file_name = name_split[0]
        new_file_name = "{}_{}_{}_{}.png".format(
            this_new_uuid, func_name, recent_prev_file_name, most_org_file_name
        )
    return os.path.join(head, new_file_name)


def get_new_dataframe_name(org_img_name, func_name="update"):
    head_tail = os.path.split(org_img_name)
    head = head_tail[0]
    tail = head_tail[1]
    name_split = tail.split(".")[0].split("_")
    this_new_uuid = str(uuid.uuid4())[0:4]
    if len(name_split) == 1:
        most_org_file_name = name_split[0]
        recent_prev_file_name = name_split[0]
        new_file_name = "{}_{}_{}_{}.csv".format(
            this_new_uuid, func_name, recent_prev_file_name, most_org_file_name
        )
    else:
        assert len(name_split) == 4
        most_org_file_name = name_split[3]
        recent_prev_file_name = name_split[0]
        new_file_name = "{}_{}_{}_{}.csv".format(
            this_new_uuid, func_name, recent_prev_file_name, most_org_file_name
        )
    return os.path.join(head, new_file_name)