A microservice that takes english text and translates it into Pig Latin. This microservice should expose an HTTP endpoint that developers can submit their strings to which will return the translation. The translation should have matching capitalization and punctuation
docker and docker-compose
The microservice uses Docker, Docker-compose, and Flask
Clone the project by typing:
$ git clone https://github.com/thiernomoudou/es_challenge.git
To create a build, ** cd into the es_challenge directory** and type:
$ docker-compose build
To start the application, excute the following:
$ docker-compose up
The application will be available on localhost:4000/
To submit a phrase to translate, use the following endpoint: localhost:4000/translate.
To run tests:
$ python3 -m unittest test.py
To use the python client, execute the following
$ python3 pyclient.py <sentence to translate>
<sentence to translate> should be a string (quoted if contains more than one word)
You need to have NodeJs installed before using the Javascript client.
To use it, execute the following
$ node jsclient.js <sentence to translate>
<sentence to translate> should be a string (quoted if contains more than one word)
Before deploying you have to make sure that kubectl is installed.
To deploy the app, you first run the following
$ kubectl apply -f es-deployment.yml
Then, type
$ kubectl apply -f es-service.yml
If you want to scale the application, just updat the replicas field on es-deployment.yml and apply the changes by typing the above command
If you want to re-deploy, you need to build a new image then update the es-deployment.yml image accordinly.
To deploy the microservice on a local cluster, make sure you have .. _minikube: https://github.com/kubernetes/minikube installed.
Run the above commands and replcace es-service-yml by dev-es-service
The second command will be
$ kubectl apply -f -dev-es-service.yml
Then, execute the following, make sure you have curl installed
$ curl -d '{"sentence":"Hello, my name is Alice."}' -H "Content-Type: application/json" -X POST $(minikube ip):31000/translate
you will get the sentence translated.
Change the value of sentence and test again.
The microservice external ip is : http://34.74.216.120/
Execute the following to access the application deployed on GCP, make sure you have curl installed
$ curl -d '{"sentence":"Hello, my name is Alice."}' -H "Content-Type: application/json" -X POST http://34.74.216.120/translate