Image Docker for Machine Learning Model Scripts

This project allows its consumers to encapsulate their scripts at a call of an API Endpoint.

Run it in Docker

docker build -t mlcicd .

Use following command so your local docker daemon can be accessed from within the container

docker run -ti -v /var/run/docker.sock:/var/run/docker.sock -e REG_USERNAME={{registryusername}} -e REG_PASSWORD={{registrypassword}} -p 5433:5433 mlcicd

Testing Coverage

on average, > 80% for actual implementation tests

go test -cover ./...
...
ok  	ml-cicd/src/artifacts	0.261s	coverage: 78.6% of statements
ok  	ml-cicd/src/builder	5.092s	coverage: 85.2% of statements
ok  	ml-cicd/src/registry	0.966s	coverage: 93.8% of statements
ok  	ml-cicd/src/utilities	0.539s	coverage: 90.0% of statements

Workflow Diagram

Code Architecture

API

Publish

Allows publlishes a dockerfile to build its image and push it to the docker registry.

POST /api/publish

Get Status

Returns status of the build currently running, succeeded or failed.

GET /api/status?build_id={{build_id}}

Get Logs

Returns logs or a running or complete image build and push.

GET /api/logs?build_id={{build_id}}

Sign in

Allows user to sign in to the API

POST /api/signin
username
password

/api/publish

Allows publlishes a dockerfile to build its image and push it to the docker registry.

POST /api/publish

POST /api/publish GET /api/logs?build_id= GET /api/status?build_id=