import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
import gradio as gr 
from predict import predict
from toolbox import format_io, find_free_port

# 建议您复制一个config_private.py放自己的秘密，如API和代理网址，避免不小心传github被别人看到
try: from config_private import proxies, WEB_PORT 
except: from config import proxies, WEB_PORT

# 如果WEB_PORT是-1，则随机选取WEB端口
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT

initial_prompt = "Serve me as a writing and programming assistant."
title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""

# 问询记录，python 版本建议3.9+（越新越好）
import logging
os.makedirs('gpt_log', exist_ok=True)
try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8') 
except:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO)
print('所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log，请注意自我隐私保护哦！')

# 一些普通功能模块
from functional import get_functionals
functional = get_functionals()

# 对一些丧心病狂的实验性功能模块进行测试
from functional_crazy import get_crazy_functionals, on_file_uploaded, on_report_generated
crazy_functional = get_crazy_functionals()

# 处理markdown文本格式的转变
gr.Chatbot.postprocess = format_io

# 做一些样式上的调整
try: set_theme = gr.themes.Default( primary_hue=gr.themes.utils.colors.orange,
    font=["ui-sans-serif", "system-ui", "sans-serif", gr.themes.utils.fonts.GoogleFont("Source Sans Pro")], 
    font_mono=["ui-monospace", "Consolas", "monospace", gr.themes.utils.fonts.GoogleFont("IBM Plex Mono")])
except: 
    set_theme = None; print('gradio版本较旧，不能自定义字体和颜色')

with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
    gr.HTML(title_html)
    # To add a Duplicate Space badge
    gr.HTML('''<center><a href="https://huggingface.co/spaces/qingxu98/gpt-academic?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>复制空间以避免排队并使用您的 OpenAI API 密钥安全运行</center>''')

    with gr.Row():
        with gr.Column(scale=2):
            chatbot = gr.Chatbot()
            chatbot.style(height=1000)
            chatbot.style()
            history = gr.State([])
            TRUE = gr.State(True)
            FALSE = gr.State(False)
        with gr.Column(scale=1):
            with gr.Row():
                with gr.Column(scale=12):
                    api = gr.Textbox(show_label=False, placeholder="Input OpenAI Key.").style(container=False)
            with gr.Row():
                with gr.Column(scale=12):
                    txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
                with gr.Column(scale=1):
                    submitBtn = gr.Button("Ask", variant="primary")
            with gr.Row():
                for k in functional:
                    variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
                    functional[k]["Button"] = gr.Button(k, variant=variant)
            with gr.Row():
                gr.Markdown("以下部分实验性功能需从input框读取路径.")
            with gr.Row():
                for k in crazy_functional:
                    variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
                    crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
            with gr.Row():
                gr.Markdown("上传本地文件供上面的实验性功能调用.")
            with gr.Row():
                file_upload = gr.Files(label='任何文件,但推荐上传压缩文件(zip, tar)', file_count="multiple")

            from check_proxy import check_proxy
            statusDisplay = gr.Markdown(f"{check_proxy(proxies)}")
            systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
            #inputs, top_p, temperature, top_k, repetition_penalty
            with gr.Accordion("arguments", open=False):
                top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
                temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",)

    txt.submit(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
    submitBtn.click(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
    for k in functional:
        functional[k]["Button"].click(predict, 
            [api, txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
    file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
    for k in crazy_functional:
        click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"], 
            [api, txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay]
        )
        try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
        except: pass


# 延迟函数，做一些准备工作，最后尝试打开浏览器
def auto_opentab_delay():
    import threading, webbrowser, time
    print(f"URL http://localhost:{PORT}")
    def open(): time.sleep(2)
    webbrowser.open_new_tab(f'http://localhost:{PORT}')
    t = threading.Thread(target=open)
    t.daemon = True; t.start()

auto_opentab_delay()
demo.title = "ChatGPT 学术优化"
demo.queue().launch()