This is a prototype Node API for filmy profiles.

• This project uses the following technologies:
  • Docker
  • PostgreSQL
  • NodeJS
  • Express

• Clone this repo.

• Install Visual Studio Code IDE for development.

• Install ESlint ^2.1.13 visual studio code extension.

• Install Docker visual studio extension to work with Dockerfiles

• Install Remote - Containers visual studio extension to work with visual studio code for docker containers.

• Install Docker Desktop in your local system. (Then, make sure docker is running and docker cli is working)

  • Windows
  • macOS

• Install PostgreSQL and pgAdmin

• Create fp-dev database in postgres

• Run docker pull sushabhardy/fp-be to pull latest image.

• Run docker tag sushabhardy/fp-be fp-be_fp-be to clone image.

• Run docker-compose up to start the server.

• Open Docker image tab in the left status bar.

• You can see the container named fp-be_fp-be running. Right click that container and click on Attach Visual Studio Code.

• A new VSCode window will open. This is the VSCode running inside the container.

• Do CTRL + SHIFT + P to open palette. Search and click on Debug: Attach to Node Process. This will attach debugger to your VSCode and the project will be hosted on localhost:3000

• You can add breakpoints, update code and then restart the debugger to see changes in the server.

• This project uses Github's standard CodeStyle.. More info about it here

• Best practices and rules are defined in .eslintrc.json file.

• Run npm run lint to see if code style is followed and build passes.
• Run npm test for to see if all tests pass.

• Connect to RDS instance and create a new DB named fp.
• Checkout develop branch of fp-node repo and change .env file endpoints to point to this DB.
• Run node app.js on this and this will run all the DDL, DML and MML on the DB.
• Checkout master branch and change endpoints in .env file.
• Build a docker image by running docker-compose up
• This will create an image named fp-be_fp-be.
• Run docker tag fp-be_fp-be sushabhardy/fp-be.
• Run docker push sushabhardy/fp-be to push the image to docker hub.
• Login to AWS and connect to the EC2 instance and run the following command to run container from this image. sudo service docker start sudo docker pull sushabhardy/fp-be sudo docker run -d --rm -p 3000:3000 sushabhardy/fp-be
• Now the fp-be will run on the ec2 instance on port 3000.