This project uses docker to containerize a IMDB move scraper application

1. Create main.py python script - this scrapes IMDB and suggests a movie from their website

• Imported libraries:

  • random, requests (HTML Parser),
  • requests - allows you to send HTTP requests using Python.
  • Beautiful soup - package to parse html/xml to extract data

2) Create docker image:

• specify base image FROM
• ADD python file
• install dependencies - RUN
• CMD to run python main.py in docker terminal*

3. Creates docker image:

• docker build -t dockerfun .
• pulls python image, adds main.py, then install modules

4) Start container

• docker run -t -i dockerfun * (-i = gives sudo terminal / -i - puts in interactive mode since there is user input requested)

1. Create new dir
2. create virtual environment
3. install dependencies
   • pip install fastapi
   • pip install uvicorn (web server)
4. run python script
5. web browser shows server is running

6. pip freeze > requirements.txt

writes all dependencies into file

7. Create docker file in root folder
8. Create docker container with all dependencies

docker build -t python-fastapi .

Issue is it doesn't work --

• when run container need to map port :
• docker run -p 8000:8000 python-fastapi (Map port 8000:8000)
• put in arguments in uvicorn.run(app, port=8000, host="0.0.0.0")
• Need to specify host address and port

9. rebuild image :

docker build -t python-fastapi . docker run -p 8000:8000 python-fastapi

10. Check docker hub can see container
11. In terminal, 'docker ps' shows running docker containers
12. Can access docker container terminal in docker hub or in terminal --