Rempah Rasa BE is an Application Programming Interface that use Representational State Transfer (REST) as the architecture. ALL of the endpoint is used by Rempah Rasa APP. This repository are built by Express.JS using Typescript. For the main feature we are using Tensorflow.JS for consume the model from models that have been created by machine learning team. This repository is focused on being deployed on Google Cloud Platform services, which here use Service accounts, databases with Firestore, and object data storage with Buckets on Cloud Storage.
-
Service Architecture
This is an example of how to list things you need to use the software and how to install them.
- Clone repository to your local machine by using
git clone https://github.com/RempahRasa/RempahRasaBE.git- Go to the repository directory
cd ~/RempahRasaBE- Installing dependencies with Bun
bun installFor service account, you can make some folder named "Secret" and put the json inside the folder.
/src/secret/<SERVICE-ACCOUNT>.json- Make a copy from
.env.examplethen rename it to become.envand fill the all of the requirement environment variable.
To run this repository for production:
bun run startTo run this repository for development:
bun run devTo run this repository for with docker:
docker build -t rempahrasabe .
docker run -d -p 3000:3000 --name rr --restart unless-stopped rempahrasabeFor using this repository. There is additional documentation for how to consume the API and demos in the Postman for testing.
POST spice-classification
http://{{base_url}}/predictionUsing Bearer Token
<token>
Using form-data
<Path_Image>
Success (200)
curl --location 'https://{{base_url}}/prediction' \
--form 'image=@"/home/user/Pictures/kunyit.jpg"'
{
"data": {
"id": "c8fe9477-d545-4492-be49-bec944582593",
"image": "https://storage.googleapis.com/<bucket>/spice-image/53e8a51c-8bca-43a9-8714-3ea062e218b1",
"result": "kunyit",
"createdAt": "2024-06-12T06:29:00.369Z"
}
}For more examples, please refer to the Documentation