user

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Published: Apr 20, 2020 License: MIT Imports: 0 Imported by: 0

README

User

A user service, because what is a shop without users to buy our awesome red pants?

The User service is part of the ACME Fitness Serverless Shop. The goal of this specific service is to register and authenticate users using JWT tokens.

Prerequisites

Deploying

To deploy the User Service you'll need a Pulumi account. Once you have your Pulumi account and configured the Pulumi CLI, you can initialize a new stack using the Pulumi templates in the pulumi folder.

cd pulumi
pulumi stack init <your pulumi org>/acmeserverless-user/dev

Pulumi is configured using a file called Pulumi.dev.yaml. A sample configuration is available in the Pulumi directory. You can rename Pulumi.dev.yaml.sample to Pulumi.dev.yaml and update the variables accordingly. Alternatively, you can change variables directly in the main.go file in the pulumi directory. The configuration contains:

config:
  aws:region: us-west-2 ## The region you want to deploy to
  awsconfig:generic:
    sentrydsn: ## The DSN to connect to Sentry
    accountid: ## Your AWS Account ID
    wavefronturl: ## The URL of your Wavefront instance
    wavefronttoken: ## Your Wavefront API token
  awsconfig:tags:
    author: retgits ## The author, you...
    feature: acmeserverless
    team: vcs ## The team you're on
    version: 0.2.0 ## The version

To create the Pulumi stack, and create the User service, run pulumi up.

If you want to keep track of the resources in Pulumi, you can add tags to your stack as well.

pulumi stack tag set app:name acmeserverless
pulumi stack tag set app:feature acmeserverless-user
pulumi stack tag set app:domain user

API

GET /users

Returns the list of all users

curl --request GET \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/users
{
"data": [
    {
        "username": "walter",
        "email": "walter@acmefitness.com",
        "firstname": "Walter",
        "lastname": "White",
        "id": "5c61ed848d891bd9e8016898"
    },
    {
        "username": "dwight",
        "email": "dwight@acmefitness.com",
        "firstname": "Dwight",
        "lastname": "Schrute",
        "id": "5c61ed848d891bd9e8016899"
    }
]}
GET /users/:id

Returns details about a specific user id

curl --request GET \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/users/5c61ed848d891bd9e8016899
{
    "data": {
        "username": "dwight",
        "email": "dwight@acmefitness.com",
        "firstname": "Dwight",
        "lastname": "Schrute",
        "id": "5c61ed848d891bd9e8016899"
    },
    "status": 200
}
POST /login/

Authenticate and Login user

curl --request POST \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/login \
  --header 'content-type: application/json' \
  --data '{ 
    "username": "username",
    "password": "password"
}'

The request to login needs to have a username and password

{ 
    "username": "username",
    "password": "password"
}

When the login succeeds, an access token is returned

{
    "access_token":    "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8xIiwidHlwIjoiSldUIn0.eyJVc2VybmFtZSI6ImVyaWMiLCJleHAiOjE1NzA3NjI5NzksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.n70EAaiY6rbH1QzpoUJhx3hER4odW8FuN2wYG1sgH7g",
"refresh_token": "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8yIiwidHlwIjoiSldUIn0.eyJleHAiOjE1NzA3NjM1NzksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.zwGB1340IVMLjMf_UnFC_rEeNdD131OGPcg_S0ea8DE",
"status": 200
    }

The access_token is used to make requests to other services to get data. The refresh_token is used to request new access_token. If both refresh_token and access_token expire, then the user needs to log back in again.

POST /refresh-token

Request new access_token by using the refresh_token

curl --request POST \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/refresh-token \
  --header 'content-type: application/json' \
  --data '{
    "refresh_token" : "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8yIiwidHlwIjoiSldUIn0.eyJleHAiOjE1NzA3NjM1NzksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.zwGB1340IVMLjMf_UnFC_rEeNdD131OGPcg_S0ea8DE"
}'

The request to the refresh-token service, needs a valid refresh_token

{
    "refresh_token" : "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8yIiwidHlwIjoiSldUIn0.eyJleHAiOjE1NzA3NjM1NzksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.zwGB1340IVMLjMf_UnFC_rEeNdD131OGPcg_S0ea8DE"
}

When the token is valid, a new access_token is returned

{
    "access_token": "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8xIiwidHlwIjoiSldUIn0.eyJVc2VybmFtZSI6ImVyaWMiLCJleHAiOjE1NzA3NjMyMjksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.wrWsDNor28aWv6huKUHAuVyROGAXqjO5luPfa5K5NQI",
    "refresh_token": "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8yIiwidHlwIjoiSldUIn0.eyJleHAiOjE1NzA3NjM1NzksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.zwGB1340IVMLjMf_UnFC_rEeNdD131OGPcg_S0ea8DE",
    "status": 200
}
POST /verify-token

Verify access_token

curl --request POST \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/verify-token \
  --header 'content-type: application/json' \
  --data '{
    "access_token": "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8xIiwidHlwIjoiSldUIn0.eyJVc2VybmFtZSI6ImVyaWMiLCJleHAiOjE1NzA3NjMyMjksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.wrWsDNor28aWv6huKUHAuVyROGAXqjO5luPfa5K5NQI"
}'

The request to verify-token needs a valid access_token

{
    "access_token": "eyJhbGciOiJIUzI1NiIsImtpZCI6InNpZ25pbl8xIiwidHlwIjoiSldUIn0.eyJVc2VybmFtZSI6ImVyaWMiLCJleHAiOjE1NzA3NjMyMjksInN1YiI6IjVkOTNlMTFjNmY4Zjk4YzlmYjI0ZGU0NiJ9.wrWsDNor28aWv6huKUHAuVyROGAXqjO5luPfa5K5NQI"
}

If the the JWT is valid and user is authorized, an HTTP/200 message is returned

{
   "message": "Token Valid. User Authorized",
   "status": 200
}

If the JWT is not valid (either expired or invalid signature) then the user is NOT authorized and an HTTP/401 message is returned

{
    "message": "Invalid Key. User Not Authorized",
    "status": 401
}
POST /register

Register/Create new user

curl --request POST \
  --url https://<api>.execute-api.us-west-2.amazonaws.com/Prod/register \
  --header 'content-type: application/json' \
  --data '{
    "username":"peterp",
    "password":"vmware1!",
    "firstname":"amazing",
    "lastname":"spiderman",
    "email":"peterp@acmefitness.com"
}'

To create a new user, a valid user object needs to be provided

{
    "username":"peterp",
    "password":"vmware1!",
    "firstname":"amazing",
    "lastname":"spiderman",
    "email":"peterp@acmefitness.com"
}

When the user is successfully created, an HTTP/201 message is returned

{
    "message": "User created successfully!",
    "resourceId": "5c61ef891d41c8de20281dd2",
    "status": 201
}

Building for Google Cloud Run

If you have Docker installed locally, you can use docker build to create a container which can be used to try out the user service locally and for Google Cloud Run.

To build your container image using Docker:

Run the command:

VERSION=`git describe --tags --always --dirty="-dev"`
docker build -f ./cmd/cloudrun-user-http/Dockerfile . -t gcr.io/[PROJECT-ID]/user:$VERSION

Replace [PROJECT-ID] with your Google Cloud project ID

If you have not yet configured Docker to use the gcloud command-line tool to authenticate requests to Container Registry, do so now using the command:

gcloud auth configure-docker

You need to do this before you can push or pull images using Docker. You only need to do it once.

Push the container image to Container Registry:

docker push gcr.io/[PROJECT-ID]/user:$VERSION

The container relies on the environment variables:

  • SENTRY_DSN: The DSN to connect to Sentry
  • K_SERVICE: The name of the service (in Google Cloud Run this variable is automatically set, defaults to user if not set)
  • VERSION: The version you're running (will default to dev if not set)
  • PORT: The port number the service will listen on (will default to 8080 if not set)
  • STAGE: The environment in which you're running
  • WAVEFRONT_TOKEN: The token to connect to Wavefront
  • WAVEFRONT_URL: The URL to connect to Wavefront (will default to debug if not set)
  • MONGO_USERNAME: The username to connect to MongoDB
  • MONGO_PASSWORD: The password to connect to MongoDB
  • MONGO_HOSTNAME: The hostname of the MongoDB server
  • MONGO_PORT: The port number of the MongoDB server

A docker run, with all options, is:

docker run --rm -it -p 8080:8080 -e SENTRY_DSN=abcd -e K_SERVICE=user \
  -e VERSION=$VERSION -e PORT=8080 -e STAGE=dev -e WAVEFRONT_URL=https://my-url.wavefront.com \
  -e WAVEFRONT_TOKEN=efgh -e MONGO_USERNAME=admin -e MONGO_PASSWORD=admin \
  -e MONGO_HOSTNAME=localhost -e MONGO_PORT=27017 gcr.io/[PROJECT-ID]/user:$VERSION

Replace [PROJECT-ID] with your Google Cloud project ID

Troubleshooting

In case the API Gateway responds with {"message":"Forbidden"}, there is likely an issue with the deployment of the API Gateway. To solve this problem, you can use the AWS CLI. To confirm this, run aws apigateway get-deployments --rest-api-id <rest-api-id>. If that returns no deployments, you can create a deployment for the prod stage with aws apigateway create-deployment --rest-api-id <rest-api-id> --stage-name prod --stage-description 'Prod Stage' --description 'deployment to the prod stage'.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

See the LICENSE file in the repository

Documentation

Overview

Package user contains all events that the User service in the ACME Serverless Fitness Shop can send and receive.

Index

Constants

This section is empty.

Variables

View Source
var (
	// ATJWTKey is used to create the Access token signature
	ATJWTKey = []byte("my_secret_key")
	// RTJWTKey is used to create the refresh token signature
	RTJWTKey = []byte("my_secret_key_2")
)

Functions

This section is empty.

Types

This section is empty.

Directories

Path Synopsis
cmd
internal
datastore
Package datastore contains the interfaces that the User service in the ACME Serverless Fitness Shop needs to store and retrieve data.
Package datastore contains the interfaces that the User service in the ACME Serverless Fitness Shop needs to store and retrieve data.
datastore/dynamodb
Package dynamodb leverages Amazon DynamoDB, a key-value and document database that delivers single-digit millisecond performance at any scale to store data.
Package dynamodb leverages Amazon DynamoDB, a key-value and document database that delivers single-digit millisecond performance at any scale to store data.
datastore/mongodb
Package mongodb leverages cross-platform document-oriented database program.
Package mongodb leverages cross-platform document-oriented database program.

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