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GREST - Next Generation API Framework

The main goal of GREST is to make possible the implementation of an RESTFul APIs that consumes an SQL database without any programming skills.

In present days, an API that follows the REST principles is made defining some constraints and implementing a way to parse request contents in a language that SQL databases understand.

REST API Overview

GREST was already built with this implementations and constraints, it's up to the business administrator only the task of customize the prebuilt functionalities to fit it's integration with the application.


GREST benefits:

1. Eficiency

By utilize Golang, a compiled language, and by make use of good algorithms of processing, GREST is capable to perform an average of only 10ms of processing time.

2. Scalabilty

Due to minimal acoplation, it's possible to configure pools of processing, make use of load balancers, automate his functioning (yes, the result API has his own API), as also integrate it with other systems.

3. Security

Included in the constrains there is a dozens of security parameters that can be customized, including WAF (Web Application Firewall), rate limits, authentication, authorization, etc.

4. Productivity

In last, but definetly not less important, there is the time necessary to get the things working, GREST use makes hours of development and integration unecessary. Some configurations and you are ready to Go :)


Getting started

First things first

The first step is to understand how GREST works, see the image below:

GREST Pivot

The pivot of GREST functioning is the concept of behavior. The behavior is how the data will be parsed in a communication with the database.

That behaviors (yes, it's possible to have many) are composed of two things: path mapping and key mappings, that are only key value maps.

Behaviors are composed of only one path mapping and of a list of key mappings.

Path mappings

Path mappings tells to GREST how to provide the access of an specific group of data to the world. In other worlds, it's responsability is to tell how people access your database tables.

Example

"/brazil/library/books" -------> "books_of_brazil_library"

The path mapping above says: Hey GREST! Clients will access my table in this endpoint.

Key Mappings

Key mappings tells to GREST how and which parts of this group of data will be accessed. In other words, it's responsabilty is to tell how people will reference the columns of the tables that they are acessing.

Example

"id" -------> "isbn_number"

The key mapping above says: Hey GREST! Clients need to pass this name when they want to make things with the values in this column.


Usage

Having you in hands an active database, maybe containing something like this:

Employees

Employee_name State Telephone E-mail
Joseph SC (99) 91111-1111 [email protected]
Pietro SP (99) 92222-2222 [email protected]
Matheus SP (99) 9333-3333 [email protected]
Paul SP (99) 94444-4444 [email protected]

To make it visible to world, in /business/our-people endpoint, do the following:

  1. To define the path mapping
curl -s http://[IP of server running GREST]:9090/config/path-mappings -X POST -d [payload]
Payload:

{
  "Set": {
    "id": "100"
    "path": "/business/our-people",
    "table": "Employees"
  }
}

  1. To define the key mappings
curl -s http://[IP of server running GREST]:9090/config/key-mappings -X POST -d [payload]
Payload:

{
  "Set": {
    "id": "201"
    "key": "name",
    "column": "Employee_name"
  }
}

curl -s http://[IP of server running GREST]:9090/config/key-mappings -X POST -d [payload]
Payload:

{
  "Set": {
    "id": "202"
    "key": "email",
    "column": "E-mail"
  }
}

  1. To group it in a behavior
curl -s http://[IP of server running GREST]:9090/config/behaviors -X POST -d [payload]
Payload:

{
  "Set": {
    "path_mapping_id": "101",
    "key_mapping_id": "201"
  }
}

curl -s http://[IP of server running GREST]:9090/config/behaviors -X POST -d [payload]
Payload:

{
  "Set": {
    "path_mapping_id": "101",
    "key_mapping_id": "202"
  }
}

To make this API more clear, there is a Collection that you can use in the Postman App :D

Data defined in this moment in GREST:

{
  "path-mapping": {
    "path": "/business/our-people",
    "table": "Employees"
  },
  "key-mappings": [
    {
      "key": "name",
      "column": "Employee_name"
    },
    {
      "key": "email",
      "column": "E-mail"
    }
  ]
}

At this point, you already will be able to access the Employee_name and the E-mail column from Employees table stored in your database:

curl -s http://[IP of server running GREST]:8080/business/our-people

You also will be able to make request with some filters, like:

curl -s http://[IP of server running GREST]:8080/business/our-people?name=Paul

The response payload will always follow the following format:

{
  "status": [ status code ],
  "response": [ data retrieved from database ],
  "errors": [ erros that occurred in the process ]
}


Requests

GREST supports 6 different HTTP methods: GET, POST, PUT, DELETE, HEAD, OPTIONS.

Im below, examples of all:

GET

curl -s http://[IP of server running GREST]:8080/business/our-people?name=Paul&[email protected]

POST

curl -s http://[IP of server running GREST]:8080/business/our-people -X POST -d [payload]
Payload:

{
  "Set": {
    "name": "John",
    "email": "[email protected]"
  }
}

PUT

curl -s http://[IP of server running GREST]:8080/business/our-people -X PUT -d [payload]
Payload:

{
  "Must": {
    "name": "Paul"
  }
  
  "Set": {
    "email": "[email protected]"
  }
}

DELETE

curl -s http://[IP of server running GREST]:8080/business/our-people -X DELETE -d [payload]
Payload:

{

  "Must": {
    "name": "Paul"
  }
  
}

HEAD

curl -s http://[IP of server running GREST]:8080/business/our-people

HEAD method request and response does not contains body

OPTIONS

curl -s http://[IP of server running GREST]:8080/business/our-people -X OPTIONS

OPTIONS method request and response does not contains body