Berkebun+ Cloud Computing Backend APIs 🌱

This repository contains the Backend APIs for Berkebun+ Capstone Project.

📂 Project Structure

Cloud-Computing/
│
├── src/
│   ├── api
│   |    ├── diagnose.js
│   |
│   ├── exceptions
│   |    ├── ClientError.js
|   |    ├── InputError.js
|   |
│   ├── server
│   |    ├── routes.js
|   |    ├── server.js
|   |
│   ├── services
│        ├── firestoreData.js
|        ├── uploadData.js
|
|
├── .gitignore
├── package-lock.json
├── package.json
├── README.md

🎯 Feature

• Diagnose endpoint
  
  

  POST /diagnoses

  For getting the plant diagnoses from ML-CC-backend /predict

• Save specific users plant diagnosed endpoint
  
  

  POST /diagnoses/{userId}/save

  For saving specific plant diagnosed to user data

• Get all users plant diagnosed endpoint
  
  

  GET /diagnoses/{userId}

  For getting all the plant diagnosed from user data

• Get specific users plant diagnosed endpoint
  
  

  GET /diagnoses/{userId}/{diagnosedId}

  For getting specific plant diagnosed from user data

• Delete specific users plant diagnosed endpoint
  
  

  DELETE /diagnoses/{userId}/{diagnosedId}

  For delete specific plant diagnosed from user data

🛠️ Technologies used

This project leverages the following technologies:

• Backend Framework: Hapi.js
• Database: Google Firestore
• Cloud Storage: Google Cloud Storage
• Environment Management: dotenv
• HTTP Requests: Axios
• Form Handling: form-data
• Authentication/Permissions: Firebase Admin SDK

🌩️ Cloud Architecture

🏃 Running Locally

1. Clone this repository

    git clone https://github.com/CP-Berkebun/Cloud-computing.git

2. Install all the dependecies

    npm install

3. Running the project

    npm run start/dev

⚙️ Environment

Your .env configuration should looks like

PROJECT_ID=           # Google Cloud Project ID.
USER_BUCKET=          # Cloud Storage Bucket name for saving the user image.
SERVICE_ACCOUNT=      # Service Account Path.
URL_ML=               # Machine Learning URL.
PORT=

🗄️ Database structure

💡 About this repo

This Backend was created by cloud computing cohort:

• Afif Imam Rahadi
• Muhammad Hafiz Ikhsan