mirror of
https://github.com/th30d4y/OpenLearnX.git
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Stalin
211 lines
4.7 KiB
Markdown
211 lines
4.7 KiB
Markdown
# 🛠 Step 1: Install Foundry & Anvil
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Foundry is a blazing-fast toolkit for Ethereum development written in Rust. It includes `forge` (for testing), `cast` (for scripting), and `anvil` (a local Ethereum node, like Hardhat or Ganache).
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---
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## ✅ Prerequisites
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- A Unix-based system (Linux/macOS/WSL)
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- `curl` installed
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- `zsh` or `bash` shell
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---
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## 🔽 Install Foundry
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Open your terminal and run:
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```bash
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curl -L https://foundry.paradigm.xyz | bash
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```
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## Then activate Foundry by either:
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```
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# If using zsh
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source ~/.zshrc
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# If using bash
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source ~/.bashrc
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```
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Now install the Foundry toolchain:
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```
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foundryup
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```
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## Verify Installation
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```
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forge --version
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anvil --version
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cast --version
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```
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If all return versions, you’re good to go!
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## Run Anvil Locally
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Start a local Ethereum testnet node:
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```
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anvil
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```
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Or to fork Ethereum mainnet (for testing with real contract data):
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```
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anvil --fork-url https://eth.merkle.io
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```
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## Step 1 Completed:)
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# Step 2 Backend
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OpenLearnX Quick Start Commands
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## Terminal 1: Start Anvil Blockchain
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```
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anvil --fork-url https://eth.merkle.io
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```
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Keep this terminal running
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## Terminal 2: Deploy Smart Contract
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```
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cd backend
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source venv/bin/activate
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python3 scripts/deploy.py
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```
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Copy the contract address to your .env file, then you can close this terminal
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## Terminal 3: Start Flask Application
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```
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cd backend
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source venv/bin/activate
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python3 main.py
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```
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Keep this terminal running
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## Test Your Platform
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```
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# Test API health
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curl http://127.0.0.1:5000/
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# Test authentication endpoint
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curl -X POST http://127.0.0.1:5000/api/auth/nonce \
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-H "Content-Type: application/json" \
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-d '{"wallet_address": "0xf39Fd6e51aad88F6F4ce6aB8827279cffFb92266"}'
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```
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Your OpenLearnX Platform URLs
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```
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API: http://127.0.0.1:5000
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Network Access: http://192.168.35.250:5000
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```
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## Step 2 Completed:)
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# Step 3 Frontend
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based on your backend setup and requirements for a comprehensive adaptive learning platform, here's how to build the frontend in your existing frontend directory.
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##
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```
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cd frontend
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# Create React + TypeScript + Vite project
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npm create vite@latest . -- --template react-ts
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# Install dependencies
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npm install
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# Install additional packages for OpenLearnX features
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npm install web3 ethers @metamask/detect-provider
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npm install react-router-dom react-query
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npm install @headlessui/react @heroicons/react
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npm install chart.js react-chartjs-2 recharts
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npm install axios react-hook-form
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npm install framer-motion react-hot-toast
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npm install tailwindcss @tailwindcss/forms
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```
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## Project Structure
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```
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frontend/
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├── src/
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│ ├── components/
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│ │ ├── auth/
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│ │ │ ├── MetaMaskConnect.tsx
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│ │ │ └── WalletAuth.tsx
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│ │ ├── testing/
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│ │ │ ├── AdaptiveTest.tsx
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│ │ │ ├── QuestionCard.tsx
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│ │ │ ├── InstantFeedback.tsx
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│ │ │ └── ProgressTracker.tsx
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│ │ ├── assessment/
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│ │ │ ├── PeerReview.tsx
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│ │ │ ├── BiasDetection.tsx
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│ │ │ └── Portfolio.tsx
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│ │ ├── dashboard/
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│ │ │ ├── StudentDashboard.tsx
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│ │ │ ├── InstructorDashboard.tsx
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│ │ │ ├── CompetencyRadar.tsx
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│ │ │ └── ProgressChart.tsx
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│ │ ├── certificates/
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│ │ │ ├── CertificateGallery.tsx
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│ │ │ ├── NFTViewer.tsx
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│ │ │ └── BlockchainVerify.tsx
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│ │ └── common/
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│ │ ├── Layout.tsx
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│ │ ├── Navigation.tsx
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│ │ └── LoadingSpinner.tsx
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│ ├── hooks/
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│ │ ├── useMetaMask.ts
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│ │ ├── useAdaptiveTesting.ts
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│ │ ├── useInstantFeedback.ts
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│ │ └── useBlockchain.ts
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│ ├── services/
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│ │ ├── api.ts
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│ │ ├── web3.ts
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│ │ └── auth.ts
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│ ├── types/
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│ │ ├── auth.ts
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│ │ ├── testing.ts
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│ │ └── dashboard.ts
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│ ├── utils/
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│ │ ├── adaptiveAlgorithm.ts
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│ │ ├── biasDetection.ts
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│ │ └── competencyMapping.ts
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│ └── pages/
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│ ├── HomePage.tsx
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│ ├── TestingPage.tsx
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│ ├── DashboardPage.tsx
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│ └── CertificatesPage.tsx
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```
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## run frontend
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```
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cd frontend
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pnpm install
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pnpm run dev
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```
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## run mangodb in local for running
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```
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# Install MongoDB on Arch Linux
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yay -S mongodb-bin
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# Start the service
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sudo systemctl start mongodb
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sudo systemctl enable mongodb
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# Verify it's running
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sudo systemctl status mongodb
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# Test connection
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mongosh
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```
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After this mangodb shell will open
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