Flask study

Todo

• Flask
• SQLAlchemy
• WSGI(Gunicorn)
• Logger
• Log File Rotation
• Package Refactoring(MVC)
• ASGI(Uvicorn, Async)

Flask

Python Micro Web Framework
가벼운 API 서버로 구성하기 위해 이용

추가 구성

• SQLAlchemy(DB ORM)
• Marshmellow(Data Serialize, Deserialize, Validate)
• Gunicorn(WSGI)

Git Action Workflow

Github에서 제공하는 CI/CD 도구

1. build job : Docker Image Build(docker-image.yml)

name: Flask Docker Image Build

on:
  push:
    branches: [ "master" ]
#  pull_request:
#    branches: [ "master" ]
    
env:
  DOCKER_IMAGE_NAME: flask_gunicorn
  DOCKER_IMAGE_TAG: ${{ github.run_id }}

jobs:

  build:
    runs-on: self-hosted
    steps:
    - uses: actions/checkout@v3
    - name: Build the Docker image
      run: docker build -t ${{ env.DOCKER_IMAGE_NAME }}:${{ env.DOCKER_IMAGE_TAG }} .

• master에 commit(push, pull request)가 일어날 때 동작하도록 설정
• github.run_id을 Docker Image Tag로 이용

2. deploy job : Docker Compose를 통해 self-hosted 서버에 배포(deploy.yml)

name: Flask Deploy

on:
  workflow_dispatch:
    inputs:
      build_id:
        description: 'Docker Image Build Workflow Run ID'
        required: true

env:
  DOCKER_IMAGE_NAME: flask_gunicorn
  DOCKER_IMAGE_TAG: ${{ github.event.inputs.build_id }}

jobs:

  deploy:
    runs-on: self-hosted
    if: github.event_name == 'workflow_dispatch'
    steps:
    - name: Manual deployment
      run: docker-compose up --build -d

• 배포(deploy)를 위해 수동(workflow_dispatch)으로 실행
• build_id 환경 변수를 workflow 실행 시 입력받도록 설정