Master: Develop:

This repository is the entry point for the Global Forest Watch API. The API consists of many microservices, which are managed and routed to by this gateway. This application is also responsible for transparently proxying requests to the old API, which continues to service requests for endpoints that have not yet been rebuilt.

1. How does it work?
2. Requirements
3. Executing
4. Deployment
5. Documentation

The API is made up of many microservices that communicate with one another using HTTP. This repository contains the gateway that maintains a list of available services (in a MongoDB database) and routes requests to the services based on the given path, and also routes requests to the old Python API.

• If a given path matches existing microservices, it is directed there.

The Dispatcher middleware and DispatcherService are responsible for determining where to route requests.

There are two ways to discover microservices:

• Themselves, with services REST API
• A Worker that it is watching a consul-template file with the location of each microservice.

In local, we need add the microservice configuration (name, ip and port) to the consul.json. In this way, each time that the api-gateway refresh your microservices registered, he consult the file and call /info endpoint of all microservices that are configured in the file

When the api-gateway reads each location of the microservices, it makes a request to the endpoint /info of each microservice (see microservice-client and microservice-node-skeleton) to obtain the microservice's configuration (urls, swagger, etc).

Example result request:

{
    "id": "skeleton-service_1.0.0",
    "name": "Skeleton Service",
    "tags": ["gfw"],
    "urls": [{
        "url": "/users",
        "method": "GET",
        "endpoints": [{
            "method": "GET",
            "path": "/api/v1/users"
        }]
    }, {
        "url": "/users",
        "method": "POST",
        "endpoints": [{
            "method": "POST",
            "path": "/api/v1/users"
        }]
    }],
    "swagger": {
        "swagger": "2.0",
        "info": {
            "title": "Example microservice",
            "description": "Example microservice",
            "version": "1.0.0"
        },
        "host": "example.vizzuality.com",
        "schemes": ["https", "http"],
        "produces": ["application/json"],
        "paths": {
            "/users": {
                "get": {},
                "post": { }
            }
        },
        "definitions": {}
    }
}

The requirements for the API Gateway greatly depend on how you plan on running it. There are two ways to run the API:

• Natively
• Using Docker containers

In both cases, you will need git to checkout the project.

If you want to run the API Gateway natively, you will need to install and configure:

• Node.js and npm
• MongoDB

If you are going to use containers, you will need:

• Docker
• docker-compose
• Create folders (to save dbs): /var/docker/data/redisdb and /var/docker/data/mongodb

Start by checking out the project from github

git clone https://github.com/Vizzuality/api-gateway.git
cd api-gateway

Once this is done, you can either run the application natively, or inside a docker container. If you decide to run it natively, you will need to first install the required npm libraries, and the start the application:

npm install
./gateway.sh start

If, on the other hand, you plan on using docker instead, you only need to fire up the containers

./gateway.sh develop

The application will be running on port 8000 of the corresponding host (typically localhost)

The application is deployed to Heroku, and thus is thankfully rather easy to deploy.

Setup Heroku for the repository:

heroku git:remote -a api-gateway-staging -r staging

And deploy as normal:

git push staging master

It is necessary to define these environment variables:

• NODE_ENV => Environment (prod, staging, dev)

The following environment variables can be used to setup HTTP Basic Authentication:

• BASIC_AUTH: 'on'/'off' depending on if the authentication is active
• BASIC_AUTH_USERNAME: username
• BASIC_AUTH_PASSWORD: password

To activate the auth login in api-gateway, you set the AUTH_ENABLED environment variable to true:

AUTH_ENABLED = true

To config oauth providers (twitter, facebook and google), you can create a file 'auth.json' in the config folder or declare environment variables. The auth.json file has the next structure:

{
    "google": {
        "clientID": "<clientIdGoogle>",
        "clientSecret": "<clientSecretGoogle>",
        "scope": "https://www.googleapis.com/auth/plus.me"
    },
    "facebook": {
        "clientID": "<clientIdFacebook>",
        "clientSecret": "<clientSecretFacebook>",
        "scope": "email"
    },
    "twitter": {
        "consumerKey": "<consumerKeyTwitter>",
        "consumerSecret": "<consumerSecretTwitter>"
    }

}
```

In environment variables:

FB_CLIENTID = FB_CLIENTSECRET = FB_SCOPE = GOOGLE_CLIENTID = GOOGLE_CLIENTSECRET = GOOGLE_SCOPE = <Google scope. Ex: https://www.googleapis.com/auth/plus.me> TW_CONSUMERKEY = TW_CONSUMERSECRET =

If you don't want enable any oauth provider, you don't set the environment variables or properties in json of this provider

## Documentation

The services are documented using [Swagger](http://swagger.io/) specifications.


# TODO:
* [ ]  Add support to several endpoint in each service url