The service which allows access to CS Blogs data. Most data is public and can be accessed by anyone, but the service also has an authentication capability to allow for user management.
All applications, including the CS Blogs website go through this API.
If you're interested in how exactly building the docker image and running a container works read the deep dive, otherwise skip straight to the Docker compose section.
The application is deployed as an immutable Docker container. You can build and run this docker container on your machine once you've installed the docker deamon and CLI tools.
To build the API-Server cd
to this repository and enter the following command:
docker build -t csblogs-api-server .
This builds the docker image and allows you to refer to it later with the tag csblogs-api-server
. To then run an container instance of the API-Server you can issue the following command:
docker run -p 80:80 csblogs-api-server
The -p
flag maps port 80 on your machine to port 80 inside the container. The API-Server binds to port 80 inside the container. If you'd rather have it on another port on your host machine change the value on the left. 3000:80
would allow you to access the API-Server on port 3000 from your machine.
You'll likely notice at this point that the application logs an error:
Connection to Database Failed { host: undefined,
port: undefined,
name: undefined,
username: undefined }
This is because the connection information for the database is provided through environment variables which we haven't set. You can set each of these environment variables using the -e
flag to the docker run
command. The environment variable names are listed in the docker-compose.yml
file. Clearly, in order to be able to do this you will need your own PostgreSQL database. This is where docker-compose
comes in -- it allows us to stand up both a PostgreSQL container and an API-Server container using just one command and allows us to set environment variables in a file, rather than having to have many -e
flags in our docker run
command.
Before you can use docker-compose
you need to add values for each of the environment variables in the docker-compose.yml
file. The POSTGRES_USER
and POSTGRES_PASSWORD
should match up with CSBLOGS_DATABASE_USERNAME
and CSBLOGS_DATABASE_PASSWORD
respectively. CSBLOGS_DATABASE_PORT
needs to match postgres, which is usually 5432
and the hostname of the Postgres container will be the service name provided -- in this case that's csblogs-postgres
.
Once you have added the environment variable properties you can simple run docker-compose up
to get both an API Server and the supporting database.
The API-Server comes with a bunch of tests written in a BDD fashion using chai
and mocha
. You can run these in your docker container by issuing the command docker run csblogs-api-server test
.
All code for the CSBlogs project uses the Airbnb ESLint
style rules. To run the linter against your code in order to check if it meets the projects style guidlines you can issue the command docker run csblogs-api-server lint
.
The API-Server is hosted on Zeit Now. One of the cool things about using Now
is that anyone can deploy, up to 20 times a month, for free (Note: These deployments are per-person, so you deploying a lot won't negatively impact my ability to deploy to production). So to have your own instance of the API-Server running in the cloud (at no cost) you just have to issue a few commands.
npm run deploy
will deploy the dockerized version of the API-Server, so it should operate exactly the same as the docker container on your local machine.
Zeit's free offering requires that all of your source code is public, meaning that storing passwords in plaintext in code is a big no-no. Therefore, to provide the container running in the cloud with the host, password, etc of the database you have to use Now
secrets -- these are then exposed to the container as environment variables. For each of the environment variables specified in the package.json/scripts/deploy
script (identifiable by the @
prefix) issue the command now secret add @variable_name value
. Once they've all been set, run npm run deploy
and your cloud instance of the API-Server will be able to access your database.