awesome-compose/react-express-mongodb/server/README.md
Syed Afzal 2f750eb4f7
Sample React-Express-MongoDB (#59)
Signed-off-by: Afzal <sah.afzal@gmail.com>
2020-05-11 21:40:39 +02:00

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#### Snippet of backend(Node.js)`DockerFile`
You will find this `DockerFile` file in the root directory of the project.
```bash
FROM node:13.13.0-stretch-slim
#Argument that is passed from docer-compose.yaml file
ARG NODE_PORT
#Echo the argument to check passed argument loaded here correctly
RUN echo "Argument port is : $NODE_PORT"
# Create app directory
WORKDIR /usr/src/app
#COPY . .
COPY . .
# Install app dependencies
# A wildcard is used to ensure both package.json AND package-lock.json are copied
# where available (npm@5+)
RUN npm install
#In my case my app binds to port NODE_PORT so you'll use the EXPOSE instruction to have it mapped by the docker daemon:
EXPOSE ${NODE_PORT}
CMD npm run dev
```
##### Explanation of backend(Node.js) `DockerFile`
- The first line tells Docker to use another Node image from the [DockerHub](https://hub.docker.com/). Were using the official Docker image for Node.js and its version 10 image.
- On second line we declare argument `NODE_PORT` which we will pass it from `docker-compose`.
- On third line we log to check argument is successfully read
- On fourth line we sets a working directory from where the app code will live inside the Docker container.
- On fifth line, we are copying/bundling our code working directory into container working directory on line three.
- On line seven, we run npm install for dependencies in container on line four.
- On Line eight, we setup the port, that Docker will expose when the container is running. In our case it is the port which we define inside `.env` file, read it from `docker-compose` then passed as a argument to the (backend)`DockerFile`.
- And in last, we tell docker to execute our app inside the container by using node to run `npm run dev. It is the command which I registered in __package.json__ in script section.
###### :clipboard: `Note: For development purpose I used __nodemon__ , If you need to deploy at production you should change CMD from __npm run dev__ to __npm start__.`