import os
import random
import json
from tqdm import tqdm


data_tongji = {
    "0-600": 0,
    "600-1500": 0,
    "1500-": 0,
}
# print("这段文字翻译成英文"\n'")
data_tongji_prompt = []

def is_contains_chinese(strs):
    for _char in strs:
        if '\u4e00' <= _char <= '\u9fa5':
            return True
    return False

data_list = []


with open("data/chatglm_paper_data_2_prompt.txt", encoding="utf-8") as f:
    for i in tqdm(f):
        data_dan = eval(i)
        zishu_query = len(data_dan["query"])
        zishu_response = len(data_dan["response"])

        query = data_dan["query"]
        response = data_dan["response"]
        prompt = data_dan["prompt"]


        if prompt == "翻译摘要#":
            zishu_summary = len(data_dan["response"].split(" "))
        elif prompt == "翻译关键词#":
            zishu_summary = len(data_dan["response"].split(" "))
        else:
            bool_ = is_contains_chinese(data_dan["response"])
            if bool_ == False:
                print(data_dan)
                continue

        if "生成方向" in query:
            data_dan["query"] = query.replace("生成方向","研究方向")
        if "生成方向" in response:
            data_dan["response"] = response.replace("生成方向", "研究方向")

        if zishu_query < 700 and zishu_response< 1400:
            data_list.append(json.dumps(data_dan, ensure_ascii=False))
        # if zishu_summary < 600:
        #     data_tongji["0-600"] += 1
        # if 600 < zishu_summary < 1500:
        #     data_tongji["600-1500"] += 1
        # if 1500 < zishu_summary:
        #     data_tongji["1500-"] += 1
        #     data_tongji_prompt.append([data_dan['summary'], zishu_summary])
        # else:
        #     train_list.append(i)


# for i in data_tongji_prompt:
#     print(i)
#

# random.shuffle(data_list)
#
train_nums = int(len(data_list) * 0.8)
dev_nums = int(len(data_list) * 0.2)
#
random.shuffle(data_list)
print(train_nums)
train_list = data_list[:train_nums]
dev_list = data_list[train_nums:]
with open("./data/chatglm_train_3_prompt.json", mode="w", encoding="utf-8") as f:
    for i in train_list:
        f.write(i)
        f.write("\n")

with open("./data/chatglm_dev_3_prompt.json", mode="w", encoding="utf-8") as f:
    for i in dev_list:
        f.write(i)
        f.write("\n")

# for i in data_tongji_prompt:
#     print(i)
#
# print(data_tongji)