Name Last Update
bunjang Loading commit data...
daangn Loading commit data...
database Loading commit data...
joongna Loading commit data...
ngrok Loading commit data...
server Loading commit data...
.gitignore Loading commit data...
LICENSE.txt Loading commit data...
README.md Loading commit data...
deploy.sh Loading commit data...
docker-compose.yml Loading commit data...
logo.png Loading commit data...
project_structure.png Loading commit data...
readme_logo.png Loading commit data...
undeploy.sh Loading commit data...

node-17.9.0
express-4.18.1
sequelize-6.20.0

go-1.17.3
goecho-4.7.2
python-latest
fastapi-0.77.1

mysql-5.7

매무리 봇 (Mamuri-bot)

사용자에게 입력받은 키워드를 통해 3곳의 중고매물 사이트(중고나라, 당근마켓, 번개장터)에 매물을 감지, 알림을 전송하는 봇입니다.

About The Project

  • 봇을 사용해 키워드를 입력 받습니다.
  • 주기적 크롤링을 통해 새로운 매물을 감지해 알림을 전송합니다.

Project Architecture

project_structure

Built With

Getting Started

Prerequisites

Need to installation docker and docker-compose

Need to write secret

  • mamuri-bot/database/mysql_init/.env

    # Database Configuration
    TZ=Asia/Seoul
    MYSQL_HOST={YOUR_MYSQL_HOST}
    MYSQL_PORT={YOUR_MYSQL_PORT}
    MYSQL_ROOT_PASSWORD={YOUR_MYSQL_ROOT_PASSWORD}
    
  • mamuri-bot/joongna/config/.env

    # Secret Configuration
    SECRET.CLIENTID={NAVER_API_CLIENT_ID}
    SECRET.CLIENTSECRET={NAVER_API_CLIENT_SECRET}
    # Header Configuration
    HEADER.COOKIE=NID_SES={YOUR_COOKIE}
    HEADER.USERAGENT={YOUR_SYSTEM_USER_AGENT}
    
  • mamuri-bot/ngrok/ngrok.yml

    authtoken: { YOUR_NGROK_AUTH_TOKEN }
    version: 2
    tunnels:
     mamuri:
       proto: http
       addr: mamuri-server:8080
    
  • mamuri-bot/server/config/.env

    channelAccessToken: {YOUR_LINE_CHANNEL_ACCESS_TOKEN}
    channelId: {YOUR_LINE_CHANNEL_ID}
    channelSecret: {YOUR_LINE_CHANNEL_SECRET}
    

Installation

  1. Clone the repository shell git clone http://khuhub.khu.ac.kr/2018102211/mamuri-bot
  2. Put your secret files that you create in prerequisite to shell mamuri-bot/database/mysql_init/.env mamuri-bot/joongna/config/.env mamuri-bot/ngrok/ngrok.yml mamuri-bot/server/config/.env
  3. Executing deploy.sh for deployment with docker-compose. This script will build all images automatically and docker-compose up on your system ```shell #!/usr/bin/env bash

./deploy.sh

# docker build -t daangn-api-server ./daangn/ # docker build -t joongna-api-server ./joongna/ # docker build -t bunjang-api-server ./bunjang/ # docker build -t mamuri-db ./database/ # docker build -t mamuri-server ./server/ # docker build -t mamuri-ngrok ./ngrok/ # docker-compose up -d

5. Check your ngrok public URL
   ```shell
   docker logs mamuri-ngrok

ngrok_deployment_1
  1. Set your public URL to Line chatbot configuration for webhook
    ngrok_deployment_2

Contributing

프로젝트에 기여하고 싶으신 분들은 아래 절차를 따라주시기 바랍니다.

  1. 프로젝트 fork
  2. feature branch 생성 (git checkout -b feature/name)
  3. commit (git commit -m "Add feature)
  4. push (git push origin feature/name)
  5. pull request 생성

License

MIT 라이센스 아래 사용 가능합니다. LICENSE.txt를 통해 자세한 정보를 확인하세요.

Contact

  • 유명현: mhlew0106@khu.ac.kr
  • 윤준석: phobyjun@khu.ac.kr