COVID-19 Telegram-bot //我们自动回答常见问题

不明飞行物护理分钟

大流行的COVID-19是由SARS-CoV-2冠状病毒（2019-nCoV）引起的潜在严重的急性呼吸道感染，已在全球正式宣布。关于Habré的很多信息都涉及此主题-始终记住，它既可靠又有用，反之亦然。

我们敦促您不要批评任何已发布的信息。

官方资料

• 俄罗斯联邦卫生部网站
• Rospotrebnadzor网站
• ()

, .

洗手，照顾亲人，尽可能呆在家里并远程工作。

阅读有关以下内容的出版物：冠状病毒 | 远程工作

简要序言

1.配置API

pip install python-telegram-bot --upgrade

• start-Bot的启动命令；
• help-帮助命令（帮助）；
• 消息-文本消息处理；
• 错误-错误。

def start(update, context):
    #   
    pass


def help(update, context):
    #  
    pass


def message(update, context):
    #  
    pass


def error(update, context):
    # 
    pass

def get_answer():
    """Start the bot."""
    # Create the Updater and pass it your bot's token.
    # Make sure to set use_context=True to use the new context based callbacks
    # Post version 12 this will no longer be necessary
    updater = Updater("Token", use_context=True)

    # Get the dispatcher to register handlers
    dp = updater.dispatcher

    # on different commands - answer in Telegram
    dp.add_handler(CommandHandler("start", start))
    dp.add_handler(CommandHandler("help", help))

    # on noncommand i.e message - echo the message on Telegram
    dp.add_handler(MessageHandler(Filters.text, message))

    # log all errors
    dp.add_error_handler(error)

    # Start the Bot
    updater.start_polling()

    # Run the bot until you press Ctrl-C or the process receives SIGINT,
    # SIGTERM or SIGABRT. This should be used most of the time, since
    # start_polling() is non-blocking and will stop the bot gracefully.
    updater.idle()


if __name__ == "__main__":
    get_answer()

• 标准轮询-使用标准电报API工具针对新事件定期对Bot进行轮询（updater.start_polling()）；
• Webhook-我们从一个端点启动我们的服务器，该机器人的事件到达该端点，它需要HTTPS。

2.我们用逻辑填充标准处理程序

def start(update, context):
    """Send a message when the command /start is issued."""
    update.message.reply_text("""
!
        COVID-19.
:
- *  ?*
- *  ?*
- *   ?*
 ..
 !
    """, parse_mode=telegram.ParseMode.MARKDOWN)


def help(update, context):
    """Send a message when the command /help is issued."""
    update.message.reply_text("""
     (  COVID-19).
:
- *  ?*
- *  ?*
- *   ?*
 ..
 !
    """, parse_mode=telegram.ParseMode.MARKDOWN)

parse_mode=telegram.ParseMode.MARKDOWN

def error(update, context):
    """Log Errors caused by Updates."""
    logger.warning('Update "%s" caused error "%s"', update, context.error)

3.我们处理消息并生成响应

{
  "      ?": "  —  .     -     ,     ,     ,        .    ,      ,   .        ,     .",
  "   ?": "  :\n     \n    \n    \n     \n\n         ,    .",
  "  ?": " :\n- (    , , )\n- (  )",
  }

1. 我们从用户那里得到问题的文本；
2. 将用户文本中的所有单词合法化；
3. 我们没有清楚地将结果文本与知识库中所有词条化问题进行比较（Levenshtein距离）；
4. 我们从知识库中选择最“相似”的问题；
5. 我们将所选问题的答案发送给用户。

import json
from fuzzywuzzy import fuzz
import pymorphy2

#   
morph = pymorphy2.MorphAnalyzer()
#  
with open("faq.json") as json_file:
    faq = json.load(json_file)


def classify_question(text):
    #  
    text = ' '.join(morph.parse(word)[0].normal_form for word in text.split())
    questions = list(faq.keys())
    scores = list()
    #      
    for question in questions:
        #    
        norm_question = ' '.join(morph.parse(word)[0].normal_form for word in question.split())
        #       
        scores.append(fuzz.token_sort_ratio(norm_question.lower(), text.lower()))
    # 
    answer = faq[questions[scores.index(max(scores))]]

    return answer

def dump_data(user, question, answer):
    username = user.username
    full_name = user.full_name
    id = user.id

    str = """{username}\t{full_name}\t{id}\t{question}\t{answer}\n""".format(username=username,
                                                                 full_name=full_name,
                                                                 id=id,
                                                                 question=question,
                                                                 answer=answer)

    with open("/data/dump.tsv", "a") as myfile:
        myfile.write(str)

def message(update, context):
    """Answer the user message."""
    # 
    answer = classify_question(update.message.text)
    #  
    dump_data(update.message.from_user, update.message.text, answer)
    # 
    update.message.reply_text(answer)

4.配置Docker并部署应用程序

1. 创建Dockerfile-定义容器的映像和入口点；
2. 创建docker-compose.yml-使用单个Dockerfile启动多个容器（在我们的情况下不是必须的，但是如果您有很多服务，它将很有用。）
3. 创建boot.sh（脚本直接负责启动）。

#
FROM python:3.6.6-slim

#  
WORKDIR /home/alex/covid-bot

#  requirements.txt
COPY requirements.txt ./

# Install required libs
RUN pip install --upgrade pip -r requirements.txt; exit 0

#      
COPY data data

#   
COPY app.py faq.json reply_generator.py boot.sh  ./

#   
RUN apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*

# 
RUN chmod +x boot.sh

#  
ENTRYPOINT ["./boot.sh"]

# docker-compose
version: '2'
#  
services:
  bot:
    restart: unless-stopped
    image: covid19_rus_bot:latest
    container_name: covid19_rus_bot
    #    boot.sh
    environment:
      - SERVICE_TYPE=covid19_rus_bot
    # volume      
    volumes: 
        - ./data:/data

#!/bin/bash
if [ -n $SERVICE_TYPE ]
then
  if [ $SERVICE_TYPE == "covid19_rus_bot" ]
  then
    exec python app.py
    exit
  fi
else
  echo -e "SERVICE_TYPE not set\n"
fi

sudo docker build -t covid19_rus_bot:latest .
sudo docker-compose up

而不是结论