Data API

Structure

Project has different layers for the sake of modularity. Since that it supports both web server and AWS Lambda, they use common modules that contain the logic.

Request -> Server -> HTTP Handler  
                                  \
                                    -> Controller -> Service
                                  /
Request -> AWS Lambda Function --

Web Server and AWS Lambda handlers

These are two interfaces that the API is exposed to. They are responsible of parsing the request, building and passing the request parameters to the controllers and building the response.

Controller

Gets the request data from Lambda or web server handlers, executes the logic through services and returns the result.

Service

Services are responsible of data manipulation and it's usually used with databases.

Integration Tests

Integration test suite connects to the Mongo Database running on localhost without any username and password. Initially, it clears the database and inserts the sample data into the dvn-atama-api-integration-test database from the files in integrationtests/data.

go test ./integrationtests/...

Deployment

AWS Lambda with Serverless Framework

This commands executes the command in Makefile which clears the previous builds, generates executables and deploys the AWS Functions through Serverless Framework.

make deploy-mentornity

Development

Adding local dependency

Add replace config to go.mod before require parts.

replace github.com/devingen/api-cor => ../api-core

Releasing a new version

Create a git tag with the desired version and push the tag.

git tag -a v0.0.2 -m "add collection lookup model"
git push origin v0.0.2