import gradio as gr
import mdtex2html
import pandas as pd
import random as rd
import os
import json
import time
import schedule
import openai
import requests

openai.api_key = os.environ.get('APIKEY')
rd.seed(time.time())

def postprocess(self, y):
    if y is None:
        return []
    for i, (message, response) in enumerate(y):
        y[i] = (
            None if message is None else mdtex2html.convert((message)),
            None if response is None else mdtex2html.convert(response),
        )
    return y


gr.Chatbot.postprocess = postprocess


def parse_text(text):
    """copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
    lines = text.split("\n")
    lines = [line for line in lines if line != ""]
    count = 0
    for i, line in enumerate(lines):
        if "```" in line:
            count += 1
            items = line.split('`')
            if count % 2 == 1:
                lines[i] = f'<pre><code class="language-{items[-1]}">'
            else:
                lines[i] = f'<br></code></pre>'
        else:
            if i > 0:
                if count % 2 == 1:
                    line = line.replace("`", "\`")
                    line = line.replace("<", "&lt;")
                    line = line.replace(">", "&gt;")
                    line = line.replace(" ", "&nbsp;")
                    line = line.replace("*", "&ast;")
                    line = line.replace("_", "&lowbar;")
                    line = line.replace("-", "&#45;")
                    line = line.replace(".", "&#46;")
                    line = line.replace("!", "&#33;")
                    line = line.replace("(", "&#40;")
                    line = line.replace(")", "&#41;")
                    line = line.replace("$", "&#36;")
                lines[i] = "<br>"+line
    text = "".join(lines)
    return text


def showInput(input, chatbot):
    chatbot.append((parse_text(input), ""))
    return chatbot


def predict(input, chatbot, messages, idx, answer):
    chatbot.append((parse_text(input), ""))
    messages.append({"role": 'user', "content": input})
    data = {'predict': messages, 'idx': idx, 'isfinished': False, 'answer': answer}
    response=str(requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8')).content, encoding="utf-8")
    if not response == 'timeout':
        chatbot[-1] = (parse_text(input), parse_text(response))
        messages.append({"role": "assistant", "content": response})
    else:
        completion = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=messages,
            logit_bias={42468: 10, 28938: 10}
        )
        response=completion.choices[0].message.content.strip()
        messages.append({"role": "assistant", "content": response})
        finish = False
        # messages1 = messages + [{"role": 'user', "content": '我猜到汤底了吗？请回答是或否，注意仅出现“汤底”二字或者我并没有问到汤底相关细节时不能说明我猜到了汤底。'}]
        # completion1 = openai.ChatCompletion.create(
        #     model="gpt-3.5-turbo",
        #     messages=messages1,
        # )
        # response1=completion1.choices[0].message.content.strip()
        # if '不' in response1 or '否' in response1 or '没' in response1:
        #     response = response
        #     finish = False
        # else:
        #     response += f'恭喜您已经猜到汤底，汤底是：{answer}\n点击“再来一局”按钮开始下一局游戏。'
        #     finish = True
        data = {'predict': messages, 'idx': idx, 'isfinished': finish, 'answer': answer}
        requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8'))
        chatbot[-1] = (parse_text(input), parse_text(response))
    return chatbot, messages


def reset_user_input():
    return gr.update(value='')


def reset_state(request: gr.Request):
    global host_cnt
    host = request.client.host
    if not host in host_cnt:
        host_cnt[host] = time.time()
    else:
        elapse = time.time()-host_cnt[host]
        if elapse < 10:
            time.sleep(10-elapse)
        host_cnt[host] = time.time()
    data = {'refresh': ''}
    data=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8')).content
    data = json.loads(str(data, encoding="utf-8"))
    chatbot = data['chatbot']
    messages = data['messages']
    answer = data['answer']
    idx = data['idx']
    return chatbot, messages, gr.update(value=""), gr.update(value="显示答案"), answer, idx, gr.update(value=data['story'].strip()), False


def show_hide_answer(answer, show_ans):
    if show_ans:
        show_ans = False
        return gr.update(value=""), gr.update(value="显示答案"), show_ans
    else:
        show_ans = True
        return gr.update(value=answer), gr.update(value="隐藏答案"), show_ans


host_cnt = {}

with gr.Blocks() as demo:
    gr.HTML("""<h1 align="center">海龟汤</h1>""")

    with gr.Row():
        rule = gr.Textbox(label='规则', value='海龟汤是一个推理类游戏，游戏开始时会给出一段隐去关键信息的叙述，即汤面，玩家根据汤面推理，提出能够通过“是”或“否”来回答的问题，通过提问不同可能性，缩小真相的范围，直到最终猜到真相（即汤底）的关键信息。玩家可以点击“再来一局”按钮随机一场新的游戏，点击“显示答案”可查看汤底。', lines=1, max_lines=3).style(container=False)
    data = {'refresh': ''}
    
    data=requests.post(os.environ.get("URL"), data=json.dumps(data, ensure_ascii=False).encode('utf-8')).content
    data = json.loads(str(data, encoding="utf-8"))
    chatbot = gr.Chatbot([(None, '点击“再来一局”开始游戏')])
    answer = gr.State('点击“再来一局”开始游戏')
    idx = gr.State(0)
    show_ans = gr.State(False)
    

    with gr.Row():
        with gr.Column(scale=4):
            question = gr.Textbox(label='汤面', value='点击“再来一局”开始游戏', 
                                lines=1, max_lines=3).style(container=False)
            with gr.Row():
                user_input = gr.Textbox(show_label=False, placeholder="请输入你的猜测...", lines=1, max_lines=3).style(
                    container=False)
            with gr.Row():
                with gr.Column(scale=2):
                    submitBtn = gr.Button("发送", variant="primary")
                with gr.Column(scale=2):
                    emptyBtn = gr.Button("再来一局")
        with gr.Column(scale=1):
            answer_output = gr.Textbox(show_label=False, lines=6, max_lines=6).style(
                container=False)
            answerBtn = gr.Button("显示答案")

    messages = gr.State(data['messages'])

    # submitBtn.click(showInput, [user_input, chatbot], [chatbot])
    user_input.submit(predict, [user_input, chatbot, messages, idx, answer], [chatbot, messages],
                    show_progress=True)
    user_input.submit(reset_user_input, [], [user_input])
    submitBtn.click(predict, [user_input, chatbot, messages, idx, answer], [chatbot, messages],
                    show_progress=True)
    submitBtn.click(reset_user_input, [], [user_input])

    emptyBtn.click(reset_state, outputs=[chatbot, messages, answer_output, answerBtn, answer, idx, question, show_ans], show_progress=True)

    answerBtn.click(show_hide_answer, [answer, show_ans], outputs=[answer_output, answerBtn, show_ans])

demo.queue().launch()