Ronjinson981 / blindfaith.app

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Make a wish 2024 #2

Open Ronjinson981 opened 1 week ago

Ronjinson981 commented 1 week ago

-- Users table CREATE TABLE Users ( user_id INT AUTO_INCREMENT PRIMARY KEY, username VARCHAR(50) NOT NULL, email VARCHAR(100) NOT NULL, password_hash VARCHAR(255) NOT NULL, -- Add other fields as needed UNIQUE(email) ); -- Wishes table CREATE TABLE Wishes ( wish_id INT AUTO_INCREMENT PRIMARY KEY, user_id INT NOT NULL, description TEXT NOT NULL, wish_date DATE NOT NULL, status ENUM('pending', 'fulfilled', 'ongoing') NOT NULL DEFAULT 'pending', FOREIGN KEY (user_id) REFERENCES Users(user_id) ); -- Audio Logs table CREATE TABLE AudioLogs ( log_id INT AUTO_INCREMENT PRIMARY KEY, user_id INT NOT NULL, audio_file_path VARCHAR(255) NOT NULL, timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP, FOREIGN KEY (user_id) REFERENCES Users(user_id) ); // Example using Node.js and Express framework

const express = require('express'); const multer = require('multer'); // For handling file uploads const SpeechToText = require('google-speech-to-text'); // Example speech-to-text library

const app = express(); const upload = multer({ dest: 'uploads/' }); // File upload destination

// Endpoint to handle speech recognition and audio recording app.post('/record-wish', upload.single('audio'), async (req, res) => { try { const audioFilePath = req.file.path; // Path to uploaded audio file const user_id = req.body.user_id; // Assuming user ID is passed in the request body

    // Perform speech-to-text recognition if needed
    const speechRecognitionResult = await SpeechToText.recognize(audioFilePath);

    // Save audio log to database
    const saveResult = await saveAudioLog(user_id, audioFilePath);

    res.status(200).json({ message: 'Audio log recorded successfully', result: saveResult });
} catch (error) {
    console.error('Error recording audio log:', error);
    res.status(500).json({ error: 'Failed to record audio log' });
}

});

// Function to save audio log to database async function saveAudioLog(user_id, audioFilePath) { // Code to save audio log to the database // Example SQL query: INSERT INTO AudioLogs (user_id, audio_file_path) VALUES (?, ?) // Execute database operation using a database library like Knex.js, Sequelize, or raw SQL queries return { user_id, audioFilePath }; // Return saved data for response }

// Start server const PORT = process.env.PORT || 3000; app.listen(PORT, () => { console.log(Server is running on port ${PORT}); }); const express = require('express'); const multer = require('multer'); // For handling file uploads const { v4: uuidv4 } = require('uuid'); // For generating unique filenames const fs = require('fs'); // File system module const path = require('path'); // Path module const SpeechToText = require('@google-cloud/speech').v1; // Google Cloud Speech-to-Text const { Storage } = require('@google-cloud/storage'); // Google Cloud Storage

const app = express(); const upload = multer({ dest: 'uploads/' }); // File upload destination const speechClient = new SpeechToText.SpeechClient(); // Google Cloud Speech-to-Text client

// Google Cloud Storage configuration const storage = new Storage({ projectId: 'your-project-id', // Replace with your Google Cloud project ID keyFilename: 'path/to/your/service-account-key.json', // Path to your service account key file }); const bucketName = 'your-bucket-name'; // Replace with your Google Cloud Storage bucket name

// Endpoint to handle speech recognition and audio recording app.post('/record-wish', upload.single('audio'), async (req, res) => { try { const user_id = req.body.user_id; // Assuming user ID is passed in the request body const audioFilePath = req.file.path; // Path to uploaded audio file

    // Perform speech-to-text recognition
    const transcript = await recognizeSpeech(audioFilePath);

    // Save audio log to Google Cloud Storage
    const audioFileUrl = await saveAudioToStorage(audioFilePath);

    // Save audio log metadata to database
    const saveResult = await saveAudioLog(user_id, audioFileUrl, transcript);

    // Delete local audio file after saving to cloud storage
    deleteLocalFile(audioFilePath);

    res.status(200).json({ message: 'Audio log recorded successfully', result: saveResult });
} catch (error) {
    console.error('Error recording audio log:', error);
    res.status(500).json({ error: 'Failed to record audio log' });
}

});

// Function to perform speech-to-text recognition using Google Cloud Speech-to-Text API async function recognizeSpeech(audioFilePath) { const audioBytes = fs.readFileSync(audioFilePath); const audio = { content: audioBytes.toString('base64'), }; const config = { encoding: 'LINEAR16', sampleRateHertz: 16000, languageCode: 'en-US', }; const request = { audio: audio, config: config, }; const [response] = await speechClient.recognize(request); const transcription = response.results .map(result => result.alternatives[0].transcript) .join('\n'); console.log('Transcription:', transcription); return transcription; }

// Function to save audio file to Google Cloud Storage async function saveAudioToStorage(localFilePath) { const fileName = uuidv4() + path.extname(localFilePath); // Generate a unique filename const bucket = storage.bucket(bucketName); await bucket.upload(localFilePath, { destination: fileName, metadata: { contentType: 'audio/wav', // Adjust based on your file type }, }); const file = bucket.file(fileName); const fileUrl = https://storage.googleapis.com/${bucketName}/${fileName}; console.log('File uploaded to:', fileUrl); return fileUrl; }

// Function to save audio log metadata to the database async function saveAudioLog(user_id, audioFileUrl, transcript) { // Implement your database saving logic here // Example SQL query: INSERT INTO AudioLogs (user_id, audio_file_url, transcript) VALUES (?, ?, ?) // Execute database operation using a database library like Knex.js, Sequelize, or raw SQL queries return { user_id, audioFileUrl, transcript }; // Return saved data for response }

// Function to delete local audio file after uploading to cloud storage function deleteLocalFile(filePath) { fs.unlink(filePath, err => { if (err) { console.error('Error deleting local file:', err); } else { console.log('Local file deleted successfully:', filePath); } }); }

// Start server const PORT = process.env.PORT || 3000; app.listen(PORT, () => { console.log(Server is running on port ${PORT}); }); const jwt = require('jsonwebtoken');

// Function to generate JWT token function generateToken(user_id) { return jwt.sign({ user_id }, process.env.JWT_SECRET, { expiresIn: '1h' }); }

// Middleware function to verify JWT token function verifyToken(req, res, next) { const token = req.headers.authorization?.split(' ')[1]; // Extract token from Authorization header

if (!token) {
    return res.status(401).json({ error: 'Unauthorized' });
}

jwt.verify(token, process.env.JWT_SECRET, (err, decoded) => {
    if (err) {
        return res.status(403).json({ error: 'Forbidden' });
    }
    req.user_id = decoded.user_id; // Attach user ID to request object for further processing
    next();
});

}

// Example usage in route app.post('/record-wish', verifyToken, async (req, res) => { // Handle audio recording and database operations // req.user_id contains the authenticated user's ID }); const crypto = require('crypto'); const fs = require('fs');

// Function to encrypt a file function encryptFile(inputFilePath, outputFilePath, key) { const readStream = fs.createReadStream(inputFilePath); const writeStream = fs.createWriteStream(outputFilePath); const cipher = crypto.createCipheriv('aes-256-cbc', key, crypto.randomBytes(16)); // Use AES-256-CBC algorithm

readStream.pipe(cipher).pipe(writeStream);

}

// Example usage const inputFilePath = 'path/to/input/file.wav'; const outputFilePath = 'path/to/output/encrypted_file.enc'; const encryptionKey = crypto.randomBytes(32); // Generate a secure encryption key

encryptFile(inputFilePath, outputFilePath, encryptionKey);

-- Users table CREATE TABLE Users ( user_id INT AUTO_INCREMENT PRIMARY KEY, username VARCHAR(50) NOT NULL, email VARCHAR(100) NOT NULL, password_hash VARCHAR(255) NOT NULL, UNIQUE(email) );

-- Wishes table CREATE TABLE Wishes ( wish_id INT AUTO_INCREMENT PRIMARY KEY, user_id INT NOT NULL, description TEXT NOT NULL, wish_date DATETIME DEFAULT CURRENT_TIMESTAMP, status ENUM('pending', 'fulfilled') NOT NULL DEFAULT 'pending', audio_file_url VARCHAR(255), -- Example: store URL if audio files are stored externally FOREIGN KEY (user_id) REFERENCES Users(user_id) ); -- Users table CREATE TABLE Users ( user_id INT AUTO_INCREMENT PRIMARY KEY, username VARCHAR(50) NOT NULL, email VARCHAR(100) NOT NULL, password_hash VARCHAR(255) NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, last_login TIMESTAMP, UNIQUE(email) );

-- Wishes table with extended fields CREATE TABLE Wishes ( wish_id INT AUTO_INCREMENT PRIMARY KEY, user_id INT NOT NULL, description TEXT NOT NULL, wish_date DATETIME DEFAULT CURRENT_TIMESTAMP, status ENUM('pending', 'fulfilled') NOT NULL DEFAULT 'pending', audio_file_url VARCHAR(255), transcript TEXT, -- Store transcript if processed sentiment_score FLOAT, -- Example: sentiment analysis score sentiment_label ENUM('positive', 'negative', 'neutral'), -- Example: sentiment analysis label FOREIGN KEY (user_id) REFERENCES Users(user_id) ); // Example function for sentiment analysis async function analyzeSentiment(wishDescription) { // Implement sentiment analysis logic here (e.g., using a natural language processing library) const sentimentScore = / Calculate sentiment score /; const sentimentLabel = / Determine sentiment label /; return { sentimentScore, sentimentLabel }; }

// Example usage in route to save sentiment analysis results app.post('/record-wish', verifyToken, async (req, res) => { try { const { user_id, description } = req.body; // Assuming description is provided in request body

    // Perform sentiment analysis
    const { sentimentScore, sentimentLabel } = await analyzeSentiment(description);

    // Save wish and sentiment analysis results to database
    const saveResult = await saveWish(user_id, description, sentimentScore, sentimentLabel);

    res.status(200).json({ message: 'Wish recorded successfully', result: saveResult });
} catch (error) {
    console.error('Error recording wish:', error);
    res.status(500).json({ error: 'Failed to record wish' });
}

});

// Function to save wish and sentiment analysis results to database async function saveWish(user_id, description, sentimentScore, sentimentLabel) { // Implement database saving logic // Example SQL query: INSERT INTO Wishes (user_id, description, sentiment_score, sentiment_label) VALUES (?, ?, ?, ?) // Execute database operation using a database library like Knex.js, Sequelize, or raw SQL queries return { user_id, description, sentimentScore, sentimentLabel }; }

// Example middleware for verifying consent function verifyConsent(req, res, next) { const hasConsent = / Check if user has given consent /; if (!hasConsent) { return res.status(403).json({ error: 'Consent required for data processing' }); } next(); }

// Example route requiring consent app.post('/record-wish', verifyToken, verifyConsent, async (req, res) => { // Handle data processing after consent verification });

// Example route for data access request app.get('/user-data', verifyToken, async (req, res) => { try { const userData = / Query user data based on req.user_id /; res.status(200).json(userData); } catch (error) { console.error('Error fetching user data:', error); res.status(500).json({ error: 'Failed to fetch user data' }); } });

// Example route for data rectification request app.patch('/update-user', verifyToken, async (req, res) => { try { const { user_id, updatedData } = req.body; // Update user data in the database const updateResult = await updateUser(user_id, updatedData); res.status(200).json({ message: 'User data updated successfully', result: updateResult }); } catch (error) { console.error('Error updating user data:', error); res.status(500).json({ error: 'Failed to update user data' }); } });

-- GDPR Record Keeping Table CREATE TABLE DataProcessingRecords ( record_id INT AUTO_INCREMENT PRIMARY KEY, data_controller_name VARCHAR(100) NOT NULL, data_controller_contact VARCHAR(100) NOT NULL, processing_purpose TEXT NOT NULL, data_categories TEXT NOT NULL, data_recipients TEXT, data_transfers TEXT, retention_period VARCHAR(50) NOT NULL, security_measures TEXT NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP );

-- CCPA Record Keeping Table CREATE TABLE ConsumerRequestsLog ( log_id INT AUTO_INCREMENT PRIMARY KEY, consumer_id INT NOT NULL, -- Example: Link to consumer/user profile request_type ENUM('access', 'delete', 'opt-out') NOT NULL, request_details TEXT NOT NULL, response_details TEXT NOT NULL, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP );

// Example function to log data processing activities (GDPR) async function logDataProcessing(data) { // Implement logic to insert data into DataProcessingRecords table const query = INSERT INTO DataProcessingRecords (data_controller_name, data_controller_contact, processing_purpose, data_categories, data_recipients, data_transfers, retention_period, security_measures) VALUES (?, ?, ?, ?, ?, ?, ?, ?); const values = [ data.dataControllerName, data.dataControllerContact, data.processingPurpose, data.dataCategories.join(', '), // Example: Convert array to comma-separated string data.dataRecipients, data.dataTransfers, data.retentionPeriod, data.securityMeasures ]; await db.query(query, values); // Example: Use your database query method }

// Example function to log consumer requests (CCPA) async function logConsumerRequest(consumerId, requestType, requestDetails, responseDetails) { // Implement logic to insert data into ConsumerRequestsLog table const query = INSERT INTO ConsumerRequestsLog (consumer_id, request_type, request_details, response_details) VALUES (?, ?, ?, ?); const values = [consumerId, requestType, requestDetails, responseDetails]; await db.query(query, values); // Example: Use your database query method }

// Example usage to log data processing const dataProcessingRecord = { dataControllerName: 'Your Organization Name', dataControllerContact: 'contact@example.com', processingPurpose: 'Provide personalized services to users', dataCategories: ['Name', 'Email', 'Address'], dataRecipients: 'Third-party service providers', dataTransfers: 'International data transfers with standard contractual clauses', retentionPeriod: '5 years', securityMeasures: 'Encrypted storage, access controls' };

logDataProcessing(dataProcessingRecord);

// Example usage to log consumer request (e.g., CCPA request) const consumerId = 123; // Example: Fetch from authenticated user context const requestType = 'delete'; const requestDetails = 'Delete all personal information'; const responseDetails = 'Personal information deleted successfully';

logConsumerRequest(consumerId, requestType, request⬤

// Example function to log actions into AuditTrail table async function logAction(action, userId, details, outcome) { const query = INSERT INTO AuditTrail (action, user_id, details, outcome) VALUES (?, ?, ?, ?); const values = [action, userId, details, outcome]; await db.query(query, values); // Example: Use your database query method }

// Example usage to log data access const userId = 123; // Example: Fetch from authenticated user context const action = 'Data Access'; const details = 'Accessed user profile data'; const outcome = 'Success';

logAction(action, userId, details, outcome); CREATE TABLE AuditTrail ( audit_id INT AUTO_INCREMENT PRIMARY KEY, action VARCHAR(50) NOT NULL, timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP, user_id INT, -- Foreign key to users table or user identifier details TEXT, outcome VARCHAR(20) );