diff --git a/BackendCode/README.md b/BackendCode/README.md new file mode 100644 index 0000000..c13c998 --- /dev/null +++ b/BackendCode/README.md @@ -0,0 +1,64 @@ +# IoT Backend API + +A Node.js Express API for the Intelligent IoT Data Management Platform. + +## Quick Start + +1. **Install Dependencies:** + ```bash + npm install + ``` + +2. **Start the Server:** + ```bash + npm start + ``` + Or use the startup script: + ```bash + node start.js + ``` + +3. **Test the API:** + ```bash + curl http://localhost:3000/api/streams + ``` + +## API Endpoints + +- `GET /api/streams` - Get all sensor data +- `GET /api/stream-names` - Get available stream names +- `POST /api/filter-streams` - Filter data by stream names +- `POST /api/analyze` - Run correlation analysis +- `POST /api/analyze-corr` - Get correlation matrix +- `POST /api/visualize` - Generate visualizations + +## Project Structure + +``` +BackendCode/ +├── controllers/ # Request handlers +├── services/ # Business logic +├── repositories/ # Data access +├── middleware/ # Request validation +├── validation/ # Zod schemas +├── dtos/ # Data transfer objects +├── mock_data/ # Sample data files +└── __tests__/ # Unit tests +``` + +## Dependencies + +- **express** - Web framework +- **cors** - Cross-origin requests +- **zod** - Schema validation +- **dotenv** - Environment variables + +## Development + +- **nodemon** - Auto-restart on changes +- **jest** - Testing framework +- **supertest** - API testing + +## Data Sources + +The API uses mock data from `mock_data/processed_data.json` for development. This contains sample IoT sensor readings that can be used for testing the frontend integration. diff --git a/BackendCode/__tests__/api.test.js b/BackendCode/__tests__/api.test.js new file mode 100644 index 0000000..7ff0253 --- /dev/null +++ b/BackendCode/__tests__/api.test.js @@ -0,0 +1,83 @@ +const request = require('supertest'); +const app = require('../server'); // Adjust the path if needed +require('dotenv').config({ path: './.env' }); +describe('API Endpoint Integration Tests', () => { + // Consider setting up a test database or mock data before running these tests + + it('GET /api/streams should return an array of stream entries', async () => { + const res = await request(app).get('/api/streams'); + expect(res.statusCode).toBe(200); + expect(Array.isArray(res.body)).toBe(true); + }); + + it('GET /api/stream-names should return array of available stream names', async () => { + const res = await request(app).get('/api/stream-names'); + expect(res.statusCode).toBe(200); + expect(Array.isArray(res.body)).toBe(true); + }); + + it('POST /api/filter-streams should return filtered stream entries', async () => { + // Adjust streamNames below to match your sample data + const res = await request(app) + .post('/api/filter-streams') + .send({ streamNames: ['Temperature'] }); + expect(res.statusCode).toBe(200); + expect(Array.isArray(res.body)).toBe(true); + }); + + it('POST /api/analyze should return analysis result', async () => { + // Use valid streams and time range based on your dataset + const res = await request(app) + .post('/api/analyze') + .send({ + streams: ['s1', 's2', 's3'], + start_date: "2025-01-01T00:00:00", + end_date: "2025-01-06T00:10:00", + threshold: 0.5, + algo_type: "correlation" + }); + // Accept 200 or error if Python service is unavailable + expect([200, 500]).toContain(res.statusCode); + }); + + it('POST /api/analyze-csv should return a cleaned/interpolated CSV file', async () => { + const res = await request(app) + .post('/api/analyze-csv') + .send({ window_size: 15 }); + // Accept 200 or error if Python service is unavailable + expect([200, 500]).toContain(res.statusCode); + if (res.statusCode === 200) { + expect(res.type).toBe('text/csv'); + } + }); + + it('POST /api/analyze-corr should return correlation matrix', async () => { + const res = await request(app) + .post('/api/analyze-corr') + .send({ + streams: ['s1', 's2', 's3'], + start_date: "2025-01-01T00:00:00", + end_date: "2025-01-06T00:10:00", + threshold: 0.5 + }); + // Accept 200 or error if Python service is unavailable + expect([200, 500]).toContain(res.statusCode); + }); + + it('POST /api/visualize should return a base64-encoded image string', async () => { + const res = await request(app) + .post('/api/visualize') + .send({ + streams: ['field1', 'field2', 'field3'], + start_date: "2025-03-18T06:55:31", + end_date: "2025-03-18T07:00:43", + type: "grouped_bar_chart" + }); + // Accept 200 or error if Python service is unavailable + expect([200, 500]).toContain(res.statusCode); + if (res.statusCode === 200) { + expect(res.body).toHaveProperty('image'); + expect(typeof res.body.image).toBe('string'); + } + }); +}); \ No newline at end of file diff --git a/newBackend/BackendCode/controllers/mockController.js b/BackendCode/controllers/mockController.js similarity index 82% rename from newBackend/BackendCode/controllers/mockController.js rename to BackendCode/controllers/mockController.js index 6dfa80f..21b9715 100644 --- a/newBackend/BackendCode/controllers/mockController.js +++ b/BackendCode/controllers/mockController.js @@ -1,55 +1,52 @@ -//handles HTTP request logic for mock data routes - -const { - readProcessedData, - getAvailableStreamNames, - filterEntriesByStreamNames -} = require('../services/mockService'); - -//GET /streams — Returns JSON file containing the stream data -const getStreams = (req, res) => { - try { - const data = readProcessedData(); - res.json(data); - } catch (err) { - console.error('Error reading stream data:', err); - res.status(500).json({ error: 'Failed to load stream data' }); - } -}; - -//Get /stream-names — Returns an array of available stream names -const getStreamNames = (req, res) => { - try { - const streamNames = getAvailableStreamNames(); - if (streamNames.length === 0) { - return res.status(404).json({ error: "No stream names found" }); - } - res.json(streamNames); - } catch (err) { - console.error('Error getting stream names:', err); - res.status(500).json({ error: 'Failed to get stream names' }); - } -}; - -//POST /filter-streams — Returns JSON file by Filtering entries by stream names (without time window) -const postFilterStreams = (req, res) => { - const { streamNames } = req.body; - - if (!Array.isArray(streamNames) || streamNames.length === 0) { - return res.status(400).json({ error: 'streamNames must be a non-empty array' }); - } - - try { - const filtered = filterEntriesByStreamNames(streamNames); - res.json(filtered); - } catch (err) { - console.error('Error filtering stream data:', err); - res.status(500).json({ error: 'Failed to filter stream data' }); - } -}; - -module.exports = { - getStreams, - getStreamNames, - postFilterStreams +//handles HTTP request logic for mock data routes + +const { + readProcessedData, + getAvailableStreamNames, + filterEntriesByStreamNames +} = require('../services/mockService'); +const { mapEntriesDto } = require('../dtos'); + +//GET /streams — Returns JSON file containing the stream data +const getStreams = (req, res) => { + try { + const data = readProcessedData(); + res.json(mapEntriesDto(data)); + } catch (err) { + console.error('Error reading stream data:', err); + res.status(500).json({ error: 'Failed to load stream data' }); + } +}; + +//Get /stream-names — Returns an array of available stream names +const getStreamNames = (req, res) => { + try { + const streamNames = getAvailableStreamNames(); + if (streamNames.length === 0) { + return res.status(404).json({ error: "No stream names found" }); + } + res.json(streamNames); + } catch (err) { + console.error('Error getting stream names:', err); + res.status(500).json({ error: 'Failed to get stream names' }); + } +}; + +//POST /filter-streams — Returns JSON file by Filtering entries by stream names (without time window) +const postFilterStreams = (req, res) => { + const { streamNames } = req.validatedBody || req.body; + + try { + const filtered = filterEntriesByStreamNames(streamNames); + res.json(mapEntriesDto(filtered)); + } catch (err) { + console.error('Error filtering stream data:', err); + res.status(500).json({ error: 'Failed to filter stream data' }); + } +}; + +module.exports = { + getStreams, + getStreamNames, + postFilterStreams }; \ No newline at end of file diff --git a/BackendCode/controllers/pythonController.js b/BackendCode/controllers/pythonController.js new file mode 100644 index 0000000..56480b4 --- /dev/null +++ b/BackendCode/controllers/pythonController.js @@ -0,0 +1,61 @@ +// handles HTTP request logic for Python-backed endpoints + +const { + analyze, + visualize, + analyzeCsv, + analyzeCorr +} = require('../services/pythonService'); + +// POST /analyze — correlation analysis +const postAnalyze = async (req, res) => { + try { + const result = await analyze(req.validatedBody || req.body); + res.json(result); + } catch (err) { + console.error('Analyze error:', err.message); + res.status(500).json({ error: 'Failed to perform analysis' }); + } +}; + +// POST /visualize — returns base64 image +const postVisualize = async (req, res) => { + try { + const result = await visualize(req.validatedBody || req.body); + res.json(result); + } catch (err) { + console.error('Visualization error:', err.message); + res.status(500).json({ error: 'Failed to generate visualization' }); + } +}; + +// POST /analyze-csv — returns cleaned CSV +const postAnalyzeCsv = async (req, res) => { + try { + const result = await analyzeCsv(req.validatedBody || req.body); + res.setHeader('Content-Disposition', 'attachment; filename=report.csv'); + res.setHeader('Content-Type', 'text/csv'); + res.send(result); + } catch (err) { + console.error('Analyze CSV error:', err.message); + res.status(500).json({ error: 'Failed to analyze CSV' }); + } +}; + +// POST /analyze-corr — returns correlation matrix +const postAnalyzeCorr = async (req, res) => { + try { + const result = await analyzeCorr(req.validatedBody || req.body); + res.json(result); + } catch (err) { + console.error('Analyze Corr error:', err.message); + res.status(500).json({ error: 'Failed to perform correlation analysis' }); + } +}; + +module.exports = { + postAnalyze, + postVisualize, + postAnalyzeCsv, + postAnalyzeCorr +}; \ No newline at end of file diff --git a/BackendCode/data/mock.json b/BackendCode/data/mock.json new file mode 100644 index 0000000..0b418e9 --- /dev/null +++ b/BackendCode/data/mock.json @@ -0,0 +1,4 @@ +[ + { "id": 1, "name": "Stream A", "value": 123 }, + { "id": 2, "name": "Stream B", "value": 456 } +] diff --git a/BackendCode/dtos/index.js b/BackendCode/dtos/index.js new file mode 100644 index 0000000..5d7046a --- /dev/null +++ b/BackendCode/dtos/index.js @@ -0,0 +1,79 @@ +// IoT-specific DTO mappers to keep outputs consistent + +// For sensor data entries, ensure keys are ordered and explicit +const mapSensorDataDto = (entry) => { + const { created_at, entry_id, device_id, sensor_id, was_interpolated, ...rest } = entry; + return { + created_at, + entry_id, + device_id, + sensor_id, + ...rest, + ...(was_interpolated !== undefined ? { was_interpolated } : {}) + }; +}; + +const mapSensorDataArrayDto = (entries) => entries.map(mapSensorDataDto); + +// For device information +const mapDeviceDto = (device) => { + const { device_id, name, type, location, status, last_seen, created_at, ...rest } = device; + return { + device_id, + name, + type, + location, + status, + last_seen, + created_at, + ...rest + }; +}; + +const mapDevicesDto = (devices) => devices.map(mapDeviceDto); + +// For sensor information +const mapSensorDto = (sensor) => { + const { sensor_id, device_id, name, type, unit, min_value, max_value, created_at, ...rest } = sensor; + return { + sensor_id, + device_id, + name, + type, + unit, + min_value, + max_value, + created_at, + ...rest + }; +}; + +const mapSensorsDto = (sensors) => sensors.map(mapSensorDto); + +// For data streams (backward compatibility) +const mapEntryDto = (entry) => { + const { created_at, entry_id, was_interpolated, ...rest } = entry; + return { + created_at, + entry_id, + ...rest, + ...(was_interpolated !== undefined ? { was_interpolated } : {}) + }; +}; + +const mapEntriesDto = (entries) => entries.map(mapEntryDto); + +module.exports = { + // IoT-specific DTOs + mapSensorDataDto, + mapSensorDataArrayDto, + mapDeviceDto, + mapDevicesDto, + mapSensorDto, + mapSensorsDto, + // Legacy DTOs for backward compatibility + mapEntryDto, + mapEntriesDto +}; + + diff --git a/BackendCode/jest.setup.js b/BackendCode/jest.setup.js new file mode 100644 index 0000000..b5b5f4b --- /dev/null +++ b/BackendCode/jest.setup.js @@ -0,0 +1 @@ +require('dotenv').config({ path: './.env' }); \ No newline at end of file diff --git a/BackendCode/middleware/validateRequest.js b/BackendCode/middleware/validateRequest.js new file mode 100644 index 0000000..043fa71 --- /dev/null +++ b/BackendCode/middleware/validateRequest.js @@ -0,0 +1,30 @@ +// reusable request validation middleware powered by Zod + +const validateRequest = ({ params, query, body }) => { + return (req, res, next) => { + try { + if (params) { + req.validatedParams = params.parse(req.params); + } + if (query) { + req.validatedQuery = query.parse(req.query); + } + if (body) { + req.validatedBody = body.parse(req.body); + } + next(); + } catch (err) { + if (err && err.errors) { + return res.status(400).json({ + error: 'ValidationError', + issues: err.errors.map(e => ({ path: e.path, message: e.message })) + }); + } + return res.status(400).json({ error: 'Invalid request' }); + } + }; +}; + +module.exports = { validateRequest }; + + diff --git a/BackendCode/mock_data/2881821.csv b/BackendCode/mock_data/2881821.csv new file mode 100644 index 0000000..a1b278f --- /dev/null +++ b/BackendCode/mock_data/2881821.csv @@ -0,0 +1,776 @@ +created_at,entry_id,field1,field2,field3,field4,field5,field6,field7,field8 +2025-03-18 06:54:26 UTC,1,6.0,6.0,3.6,5.0,0.0,0.0,0.0,0.0 +2025-03-18 06:54:43 UTC,2,6.0,4.0,2.4,3.0,10.0,10.0,10.0,10.0 +2025-03-18 06:54:59 UTC,3,6.0,7.0,4.2,6.0,3.0,3.0,3.0,3.0 +2025-03-18 06:55:16 UTC,4,9.0,4.0,3.6,5.0,13.0,13.0,13.0,13.0 +2025-03-18 06:55:31 UTC,5,4.0,4.0,1.6,3.0,22.0,22.0,22.0,22.0 +2025-03-18 06:55:47 UTC,6,6.0,5.0,3.0,8.0,31.0,31.0,31.0,31.0 +2025-03-18 06:56:03 UTC,7,3.0,4.0,1.2,7.0,41.0,41.0,41.0,41.0 +2025-03-18 06:56:20 UTC,8,4.0,5.0,2.0,3.0,51.0,51.0,51.0,51.0 +2025-03-18 06:56:36 UTC,9,7.0,7.0,4.9,5.0,61.0,61.0,61.0,61.0 +2025-03-18 06:56:53 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23:50:00,0.9981545460557546,0.9999999999999998,0.9981545458705212 +288,1.25861935,0.034020688,0.881033545,2025-01-03 00:00:00,0.998059885366799,0.9999999999999999,0.9980598852786478 +289,1.248946787,0.031482836,0.874262751,2025-01-03 00:10:00,0.9979560854487574,0.9999999999999999,0.9979560854688246 +290,1.239249329,0.029041835,0.86747453,2025-01-03 00:20:00,0.997841969040733,0.9999999999999999,0.9978419691621353 +291,1.229527947,0.026697929,0.860669563,2025-01-03 00:30:00,0.9977161619072065,0.9999999999999999,0.9977161619083381 +292,1.219783612,0.024451352,0.853848529,2025-01-03 00:40:00,0.9975770503658917,1.0,0.9975770505551723 +293,1.210017299,0.02230233,0.847012109,2025-01-03 00:50:00,0.9974227301923956,1.0,0.9974227300575721 +294,1.200229985,0.020251076,0.840160989,2025-01-03 01:00:00,0.9972509447891399,0.9999999999999999,0.9972509444209127 +295,1.190422647,0.018297797,0.833295853,2025-01-03 01:10:00,0.9970589977437457,1.0,0.9970589974338085 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--git a/BackendCode/package.json b/BackendCode/package.json new file mode 100644 index 0000000..e2a26f6 --- /dev/null +++ b/BackendCode/package.json @@ -0,0 +1,35 @@ +{ + "name": "iot-backend-api", + "version": "1.0.0", + "description": "Backend API for Intelligent IoT Data Management Platform", + "main": "server.js", + "scripts": { + "start": "node server.js", + "dev": "nodemon server.js", + "test": "jest" + }, + "keywords": [ + "iot", + "api", + "sensor-data", + "correlation-analysis" + ], + "author": "IoT Team", + "license": "MIT", + "dependencies": { + "cors": "^2.8.5", + "dotenv": "^16.3.1", + "express": "^4.18.2", + "uuid": "^9.0.1", + "ws": "^8.18.3", + "zod": "^3.22.4" + }, + "devDependencies": { + "jest": "^29.7.0", + "nodemon": "^3.0.1", + "supertest": "^6.3.3" + }, + "engines": { + "node": ">=16.0.0" + } +} diff --git a/newBackend/BackendCode/repositories/mockRepository.js b/BackendCode/repositories/mockRepository.js similarity index 79% rename from newBackend/BackendCode/repositories/mockRepository.js rename to BackendCode/repositories/mockRepository.js index d1f3907..d42e02f 100644 --- a/newBackend/BackendCode/repositories/mockRepository.js +++ b/BackendCode/repositories/mockRepository.js @@ -1,24 +1,25 @@ -//handles data access for mock data, reading from local JSON file without a database yet - -require('dotenv').config({ path: '../.env' }); - -const fs = require('fs'); -const path = require('path'); - -class MockRepository { - constructor() { - this.filePath = path.resolve(process.env.PROCESSED_DATA_PATH); - } - - getMockData() { - try { - const rawData = fs.readFileSync(this.filePath, 'utf8'); - return JSON.parse(rawData); - } catch (err) { - console.error('Error reading mock data:', err); - throw new Error('Failed to read mock data'); - } - } -} - +//handles data access for mock data, reading from local JSON file without a database yet + +require('dotenv').config({ path: '../.env' }); + +const fs = require('fs'); +const path = require('path'); + +class MockRepository { + constructor() { + // Use the processed_data.json from mock_data folder + this.filePath = path.resolve(__dirname, '../mock_data/processed_data.json'); + } + + getMockData() { + try { + const rawData = fs.readFileSync(this.filePath, 'utf8'); + return JSON.parse(rawData); + } catch (err) { + console.error('Error reading mock data:', err); + throw new Error('Failed to read mock data'); + } + } +} + module.exports = MockRepository; \ No newline at end of file diff --git a/BackendCode/repositories/pythonRepository.js b/BackendCode/repositories/pythonRepository.js new file mode 100644 index 0000000..6f08fd0 --- /dev/null +++ b/BackendCode/repositories/pythonRepository.js @@ -0,0 +1,49 @@ +// handles data access for Python-based data science operations + +const fs = require('fs'); +const path = require('path'); + +class PythonRepository { + constructor() { + this.dataPath = path.resolve(__dirname, '../mock_data'); + } + + // Get available CSV files + getAvailableDatasets() { + try { + const files = fs.readdirSync(this.dataPath); + return files.filter(file => file.endsWith('.csv')); + } catch (err) { + console.error('Error reading datasets:', err); + return []; + } + } + + // Get dataset by name + getDataset(filename) { + try { + const filePath = path.join(this.dataPath, filename); + if (!fs.existsSync(filePath)) { + throw new Error(`Dataset ${filename} not found`); + } + return filePath; + } catch (err) { + console.error('Error getting dataset:', err); + throw err; + } + } + + // Save processed data + saveProcessedData(data, filename) { + try { + const filePath = path.join(this.dataPath, filename); + fs.writeFileSync(filePath, JSON.stringify(data, null, 2)); + return filePath; + } catch (err) { + console.error('Error saving processed data:', err); + throw err; + } + } +} + +module.exports = PythonRepository; \ No newline at end of file diff --git a/BackendCode/routes/mock.js b/BackendCode/routes/mock.js new file mode 100644 index 0000000..1d0c34e --- /dev/null +++ b/BackendCode/routes/mock.js @@ -0,0 +1,194 @@ +//handles routing for mock data endpoints + +const express = require('express'); +const { + getStreams, + getStreamNames, + postFilterStreams +} = require('../controllers/mockController'); + +const { + postAnalyze, + postVisualize, + postAnalyzeCsv, + postAnalyzeCorr +} = require('../controllers/pythonController'); + +const router = express.Router(); +const { z } = require('zod'); +const { validateRequest } = require('../middleware/validateRequest'); +const { + getStreamsSchema, + getStreamNamesSchema, + filterStreamsBody, + analyzeBody, + analyzeCsvBody, + analyzeCorrBody +} = require('../validation/schemas'); + +/* + * GET /streams + * + * Description: + * Returns the dataset in JSON format, + * containing all entries including metadata (e.g., created_at, entry_id) and multiple stream values. + * + * Example Response: + * [ + * { + * "created_at": "2025-03-19T15:01:59.000Z", + * "entry_id": 3242057, + * "Temperature": 22, + * "Voltage Charge": 12.51, + * "Humidity": 45 + * }, + * ... + * ] + */ +router.get('/streams', validateRequest(getStreamsSchema), getStreams); + +/* + * GET /stream-names + * + * Description: + * Returns an array of available stream names (in string format) extracted from the dataset + * + * Example Response: + * [ + * "Temperature", + * "Voltage Charge", + * "Humidity", + * "Current Draw" + * ] + */ +router.get('/stream-names', validateRequest(getStreamNamesSchema), getStreamNames); + +/* + * POST /filter-streams + * Request Body: + * { + * streamNames: [ "Temperature", "Voltage Charge" ] + * } + * + * Description: + * Returns the specified stream names and timestamp, + * with the entries in original format. + * + * Example Response: + * [ + * { + * "created_at": "2025-03-19T15:01:59.000Z", + * "entry_id": 3242057, + * "Temperature": 22, + * "Voltage Charge": 12.51 + * }, + * { + * "created_at": "2025-03-19T15:02:29.000Z", + * "entry_id": 3242058, + * "Temperature": 22, + * "Voltage Charge": 12.61 + * } + * ] + */ +router.post('/filter-streams', validateRequest({ body: filterStreamsBody }), postFilterStreams); + +/* + * POST /analyze + * + * Description: + * Sends a prototype CSV file and analysis parameters to the Python-based Flask service. + * Returns the result of the correlation algorithm, including average correlation values and outlier flags. + * + * Request Body (JSON): + * { + * "streams": ["s1", "s2", "s3"], + * "start_date": "2025-01-01T00:00:00", + * "end_date": "2025-01-06T00:10:00", + * "threshold": 0.5, + * "algo_type": "correlation" + * } + * + * Example Response: + * { + * "result": { + * "s1": { "avg_corr": 0.58, "is_outlier": false }, + * "s2": { "avg_corr": 0.15, "is_outlier": true }, + * "s3": { "avg_corr": 0.51, "is_outlier": false } + * } + * } + */ +router.post('/analyze', validateRequest({ body: analyzeBody }), postAnalyze); + +/* + * POST /analyze-csv + * + * Description: + * Sends a prototype CSV file and optional window size to the Python-based Flask service. + * Returns a cleaned and interpolated CSV file, suitable for downstream analysis or visualization. + * + * Request Body (JSON): + * { + * "window_size": 15 + * } + * + * Example Response: + * A downloadable CSV file containing: + * - Renamed columns (e.g., first column as "data_point") + * - Interpolated numeric values + * - Generated timestamps + * - Cleaned structure with no empty rows or columns + */ +router.post('/analyze-csv', validateRequest({ body: analyzeCsvBody }), postAnalyzeCsv); + +/* + * POST /analyze-corr + * + * Description: + * Sends selected stream IDs and a time range to the Flask service to compute pairwise correlations. + * Returns a matrix of correlation coefficients and highlights any stream pairs below the threshold. + * + * Request Body (JSON): + * { + * "streams": ["s1", "s2", "s3"], + * "start_date": "2025-01-01T00:00:00", + * "end_date": "2025-01-06T00:10:00", + * "threshold": 0.5 + * } + * + * Example Response: + * { + * "correlation_matrix": { + * "s1": { "s2": 0.42, "s3": 0.61 }, + * "s2": { "s1": 0.42, "s3": 0.33 }, + * "s3": { "s1": 0.61, "s2": 0.33 } + * }, + * "low_correlation_pairs": [ + * ["s2", "s3"] + * ] + * } + */ +router.post('/analyze-corr', validateRequest({ body: analyzeCorrBody }), postAnalyzeCorr); //not working yet, need to test + +/* + * POST /visualize + * + * Description: + * Sends a prototype CSV file and visualisation parameters to the Python-based Flask service. + * Returns a base64-encoded PNG image of the selected visualisation type (e.g., grouped bar chart, scatter plot). + * + * Request Body (JSON): + * { + * "streams": ["field1", "field2", "field3"], + * "start_date": "2025-03-18T06:55:31", + * "end_date": "2025-03-18T07:00:43", + * "type": "grouped_bar_chart" + * } + * + * Example Response: + * { + * "image": "iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAD..." // base64 string + * } + */ +router.post('/visualize', postVisualize); + +module.exports = router; \ No newline at end of file diff --git a/BackendCode/server.js b/BackendCode/server.js new file mode 100644 index 0000000..7cb9db7 --- /dev/null +++ b/BackendCode/server.js @@ -0,0 +1,51 @@ +//handles server setup and configuration for the Express backend + +require('dotenv').config({ path: '../.env' }); //Load .env from root + +const express = require('express'); +const cors = require('cors'); +const WebSocketService = require('./services/websocketService'); + +const mockRoutes = require('./routes/mock'); + +const app = express(); +app.use(cors()); +app.use(express.json()); + +app.get('/', (req, res) => { + res.send('Backend is running'); +}); + +// Health check endpoint +app.get('/health', (req, res) => { + res.json({ + status: 'healthy', + timestamp: new Date().toISOString(), + websocket: websocketService.getStatus() + }); +}); + +//Mount mock routes +app.use('/api', mockRoutes); + +//Start Express server +const PORT = process.env.PORT || 3000; +const server = app.listen(PORT, () => { + console.log(`🚀 Express server running on http://localhost:${PORT}`); +}); + +//Initialize WebSocket server +const websocketService = new WebSocketService(8080); +websocketService.initialize(); + +// Graceful shutdown +process.on('SIGINT', () => { + console.log('\n🛑 Shutting down servers...'); + websocketService.close(); + server.close(() => { + console.log('✅ Servers closed gracefully'); + process.exit(0); + }); +}); + +module.exports = app; \ No newline at end of file diff --git a/newBackend/BackendCode/services/mockService.js b/BackendCode/services/mockService.js similarity index 96% rename from newBackend/BackendCode/services/mockService.js rename to BackendCode/services/mockService.js index 3604b32..9308d71 100644 --- a/newBackend/BackendCode/services/mockService.js +++ b/BackendCode/services/mockService.js @@ -1,42 +1,42 @@ -//handles the logic for processing mock data, using the repository for data access - -const MockRepository = require('../repositories/mockRepository'); -const mockRepository = new MockRepository(); - -//get all entries from the .json file -const readProcessedData = () => { - return mockRepository.getMockData(); -}; - -const getAvailableStreamNames = () => { - const entries = mockRepository.getMockData(); - if (!entries || entries.length === 0) return []; - - const excludedKeys = ["created_at", "entry_id", "was_interpolated"]; - return Object.keys(entries[0]).filter(key => !excludedKeys.includes(key)); -}; - -const filterEntriesByStreamNames = (streamNames) => { - const entries = mockRepository.getMockData(); - - return entries.map(entry => { - const filteredEntry = { - created_at: entry.created_at, - entry_id: entry.entry_id - }; - - streamNames.forEach(name => { - if (entry[name] !== undefined) { - filteredEntry[name] = entry[name]; - } - }); - - return filteredEntry; - }); -}; - -module.exports = { - readProcessedData, - getAvailableStreamNames, - filterEntriesByStreamNames +//handles the logic for processing mock data, using the repository for data access + +const MockRepository = require('../repositories/mockRepository'); +const mockRepository = new MockRepository(); + +//get all entries from the .json file +const readProcessedData = () => { + return mockRepository.getMockData(); +}; + +const getAvailableStreamNames = () => { + const entries = mockRepository.getMockData(); + if (!entries || entries.length === 0) return []; + + const excludedKeys = ["created_at", "entry_id", "was_interpolated"]; + return Object.keys(entries[0]).filter(key => !excludedKeys.includes(key)); +}; + +const filterEntriesByStreamNames = (streamNames) => { + const entries = mockRepository.getMockData(); + + return entries.map(entry => { + const filteredEntry = { + created_at: entry.created_at, + entry_id: entry.entry_id + }; + + streamNames.forEach(name => { + if (entry[name] !== undefined) { + filteredEntry[name] = entry[name]; + } + }); + + return filteredEntry; + }); +}; + +module.exports = { + readProcessedData, + getAvailableStreamNames, + filterEntriesByStreamNames }; \ No newline at end of file diff --git a/BackendCode/services/pythonService.js b/BackendCode/services/pythonService.js new file mode 100644 index 0000000..d1ad27f --- /dev/null +++ b/BackendCode/services/pythonService.js @@ -0,0 +1,82 @@ +// handles communication with Python Flask services for data science operations + +const { spawn } = require('child_process'); +const path = require('path'); + +// Base URL for Python Flask services +const PYTHON_SERVICE_URL = process.env.PYTHON_SERVICE_URL || 'http://localhost:5000'; + +// Helper function to make HTTP requests to Python services +const makePythonRequest = async (endpoint, data) => { + try { + const response = await fetch(`${PYTHON_SERVICE_URL}${endpoint}`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify(data), + }); + + if (!response.ok) { + throw new Error(`Python service error: ${response.status} ${response.statusText}`); + } + + return await response.json(); + } catch (error) { + console.error(`Error calling Python service ${endpoint}:`, error); + throw error; + } +}; + +// Analyze data using correlation algorithms +const analyze = async (data) => { + const { streams, start_date, end_date, threshold, algo_type } = data; + + return await makePythonRequest('/analyze', { + streams, + start_date, + end_date, + threshold, + algo_type + }); +}; + +// Generate visualization +const visualize = async (data) => { + const { streams, start_date, end_date, type } = data; + + return await makePythonRequest('/visualize', { + streams, + start_date, + end_date, + type + }); +}; + +// Analyze CSV file +const analyzeCsv = async (data) => { + const { window_size } = data; + + return await makePythonRequest('/analyze-csv', { + window_size + }); +}; + +// Correlation analysis +const analyzeCorr = async (data) => { + const { streams, start_date, end_date, threshold } = data; + + return await makePythonRequest('/analyze-corr', { + streams, + start_date, + end_date, + threshold + }); +}; + +module.exports = { + analyze, + visualize, + analyzeCsv, + analyzeCorr +}; \ No newline at end of file diff --git a/BackendCode/services/websocketService.js b/BackendCode/services/websocketService.js new file mode 100644 index 0000000..918d257 --- /dev/null +++ b/BackendCode/services/websocketService.js @@ -0,0 +1,347 @@ +// WebSocket service for real-time data streaming and live updates + +const WebSocket = require('ws'); +const { v4: uuidv4 } = require('uuid'); +const MockRepository = require('../repositories/mockRepository'); +const { analyze, analyzeCorr } = require('./pythonService'); + +class WebSocketService { + constructor(port = 8080) { + this.port = port; + this.wss = null; + this.clients = new Map(); // clientId -> { ws, subscriptions } + this.mockRepository = new MockRepository(); + this.dataInterval = null; + this.isStreaming = false; + } + + // Initialize WebSocket server + initialize() { + this.wss = new WebSocket.Server({ + port: this.port, + perMessageDeflate: false + }); + + this.wss.on('connection', (ws, req) => { + const clientId = uuidv4(); + console.log(`🔌 New WebSocket client connected: ${clientId}`); + + // Store client connection + this.clients.set(clientId, { + ws, + subscriptions: new Set(), + lastPing: Date.now() + }); + + // Send welcome message + this.sendToClient(clientId, { + type: 'connection', + clientId, + message: 'Connected to IoT Data Stream', + timestamp: new Date().toISOString() + }); + + // Handle incoming messages + ws.on('message', (message) => { + try { + const data = JSON.parse(message); + this.handleMessage(clientId, data); + } catch (error) { + console.error('Error parsing WebSocket message:', error); + this.sendToClient(clientId, { + type: 'error', + message: 'Invalid message format', + timestamp: new Date().toISOString() + }); + } + }); + + // Handle client disconnect + ws.on('close', () => { + console.log(`🔌 WebSocket client disconnected: ${clientId}`); + this.clients.delete(clientId); + + // Stop streaming if no clients + if (this.clients.size === 0) { + this.stopDataStreaming(); + } + }); + + // Handle ping/pong for connection health + ws.on('pong', () => { + const client = this.clients.get(clientId); + if (client) { + client.lastPing = Date.now(); + } + }); + }); + + // Start ping interval to check connection health + setInterval(() => { + this.clients.forEach((client, clientId) => { + if (Date.now() - client.lastPing > 30000) { // 30 seconds timeout + console.log(`🔌 Client ${clientId} timed out, closing connection`); + client.ws.terminate(); + this.clients.delete(clientId); + } else { + client.ws.ping(); + } + }); + }, 10000); // Ping every 10 seconds + + console.log(`🚀 WebSocket server running on ws://localhost:${this.port}`); + } + + // Handle incoming WebSocket messages + async handleMessage(clientId, data) { + const client = this.clients.get(clientId); + if (!client) return; + + switch (data.type) { + case 'subscribe': + this.handleSubscription(clientId, data); + break; + + case 'unsubscribe': + this.handleUnsubscription(clientId, data); + break; + + case 'request_correlation': + this.handleCorrelationRequest(clientId, data); + break; + + case 'request_anomaly_detection': + this.handleAnomalyDetectionRequest(clientId, data); + break; + + case 'start_streaming': + this.startDataStreaming(); + break; + + case 'stop_streaming': + this.stopDataStreaming(); + break; + + default: + this.sendToClient(clientId, { + type: 'error', + message: `Unknown message type: ${data.type}`, + timestamp: new Date().toISOString() + }); + } + } + + // Handle stream subscription + handleSubscription(clientId, data) { + const client = this.clients.get(clientId); + if (!client) return; + + const { streams } = data; + if (Array.isArray(streams)) { + streams.forEach(stream => client.subscriptions.add(stream)); + + this.sendToClient(clientId, { + type: 'subscription_confirmed', + streams: Array.from(client.subscriptions), + message: 'Successfully subscribed to streams', + timestamp: new Date().toISOString() + }); + + // Start streaming if not already started + if (!this.isStreaming) { + this.startDataStreaming(); + } + } + } + + // Handle stream unsubscription + handleUnsubscription(clientId, data) { + const client = this.clients.get(clientId); + if (!client) return; + + const { streams } = data; + if (Array.isArray(streams)) { + streams.forEach(stream => client.subscriptions.delete(stream)); + + this.sendToClient(clientId, { + type: 'unsubscription_confirmed', + streams: Array.from(client.subscriptions), + message: 'Successfully unsubscribed from streams', + timestamp: new Date().toISOString() + }); + } + } + + // Handle correlation analysis request + async handleCorrelationRequest(clientId, data) { + try { + const { streams, startDate, endDate, threshold } = data; + + const result = await analyzeCorr({ + streams, + start_date: startDate, + end_date: endDate, + threshold: threshold || 0.5 + }); + + this.sendToClient(clientId, { + type: 'correlation_result', + data: result, + timestamp: new Date().toISOString() + }); + } catch (error) { + console.error('Correlation analysis error:', error); + this.sendToClient(clientId, { + type: 'error', + message: 'Failed to perform correlation analysis', + error: error.message, + timestamp: new Date().toISOString() + }); + } + } + + // Handle anomaly detection request + async handleAnomalyDetectionRequest(clientId, data) { + try { + const { streams, startDate, endDate, threshold, algorithm } = data; + + const result = await analyze({ + streams, + start_date: startDate, + end_date: endDate, + threshold: threshold || 0.1, + algo_type: algorithm || 'correlation' + }); + + this.sendToClient(clientId, { + type: 'anomaly_detection_result', + data: result, + timestamp: new Date().toISOString() + }); + } catch (error) { + console.error('Anomaly detection error:', error); + this.sendToClient(clientId, { + type: 'error', + message: 'Failed to perform anomaly detection', + error: error.message, + timestamp: new Date().toISOString() + }); + } + } + + // Start real-time data streaming + startDataStreaming() { + if (this.isStreaming) return; + + this.isStreaming = true; + console.log('📡 Starting real-time data streaming...'); + + this.dataInterval = setInterval(() => { + this.broadcastDataUpdate(); + }, 5000); // Update every 5 seconds + } + + // Stop real-time data streaming + stopDataStreaming() { + if (!this.isStreaming) return; + + this.isStreaming = false; + console.log('📡 Stopping real-time data streaming...'); + + if (this.dataInterval) { + clearInterval(this.dataInterval); + this.dataInterval = null; + } + } + + // Broadcast data update to all subscribed clients + broadcastDataUpdate() { + if (this.clients.size === 0) return; + + try { + // Get fresh data from repository + const allData = this.mockRepository.getMockData(); + const latestData = allData.slice(-10); // Get last 10 data points + + // Group data by streams + const streamData = {}; + latestData.forEach(entry => { + Object.keys(entry).forEach(key => { + if (key !== 'created_at' && key !== 'entry_id' && key !== 'was_interpolated') { + if (!streamData[key]) { + streamData[key] = []; + } + streamData[key].push({ + timestamp: entry.created_at, + value: entry[key], + entry_id: entry.entry_id + }); + } + }); + }); + + // Send data to subscribed clients + this.clients.forEach((client, clientId) => { + if (client.subscriptions.size > 0) { + const subscribedData = {}; + client.subscriptions.forEach(stream => { + if (streamData[stream]) { + subscribedData[stream] = streamData[stream]; + } + }); + + this.sendToClient(clientId, { + type: 'data_update', + data: subscribedData, + timestamp: new Date().toISOString(), + updateCount: latestData.length + }); + } + }); + } catch (error) { + console.error('Error broadcasting data update:', error); + } + } + + // Send message to specific client + sendToClient(clientId, message) { + const client = this.clients.get(clientId); + if (client && client.ws.readyState === WebSocket.OPEN) { + try { + client.ws.send(JSON.stringify(message)); + } catch (error) { + console.error(`Error sending message to client ${clientId}:`, error); + this.clients.delete(clientId); + } + } + } + + // Broadcast message to all clients + broadcast(message) { + this.clients.forEach((client, clientId) => { + this.sendToClient(clientId, message); + }); + } + + // Get server status + getStatus() { + return { + isRunning: this.wss !== null, + port: this.port, + clientCount: this.clients.size, + isStreaming: this.isStreaming, + clients: Array.from(this.clients.keys()) + }; + } + + // Close WebSocket server + close() { + this.stopDataStreaming(); + if (this.wss) { + this.wss.close(); + console.log('🔌 WebSocket server closed'); + } + } +} + +module.exports = WebSocketService; diff --git a/BackendCode/start.js b/BackendCode/start.js new file mode 100644 index 0000000..0cb7dcd --- /dev/null +++ b/BackendCode/start.js @@ -0,0 +1,37 @@ +// Simple startup script for the backend +const { spawn } = require('child_process'); +const path = require('path'); + +console.log('🚀 Starting IoT Backend API...'); +console.log('📁 Working directory:', process.cwd()); + +// Check if package.json exists +const packagePath = path.join(__dirname, 'package.json'); +const fs = require('fs'); + +if (!fs.existsSync(packagePath)) { + console.error('❌ package.json not found!'); + console.log('Please run: npm init -y'); + process.exit(1); +} + +// Start the server +const server = spawn('node', ['server.js'], { + cwd: __dirname, + stdio: 'inherit' +}); + +server.on('error', (err) => { + console.error('❌ Failed to start server:', err); +}); + +server.on('close', (code) => { + console.log(`🛑 Server exited with code ${code}`); +}); + +// Handle graceful shutdown +process.on('SIGINT', () => { + console.log('\n🛑 Shutting down server...'); + server.kill('SIGINT'); + process.exit(0); +}); diff --git a/BackendCode/test-websocket.js b/BackendCode/test-websocket.js new file mode 100644 index 0000000..9314021 --- /dev/null +++ b/BackendCode/test-websocket.js @@ -0,0 +1,64 @@ +// Simple WebSocket client test script + +const WebSocket = require('ws'); + +console.log('🧪 Testing WebSocket Integration...'); + +const ws = new WebSocket('ws://localhost:8080'); + +ws.on('open', () => { + console.log('✅ Connected to WebSocket server'); + + // Test subscription + ws.send(JSON.stringify({ + type: 'subscribe', + streams: ['Temperature', 'Humidity'] + })); + + // Test correlation request + setTimeout(() => { + ws.send(JSON.stringify({ + type: 'request_correlation', + streams: ['Temperature', 'Humidity'], + startDate: new Date(Date.now() - 60000).toISOString(), + endDate: new Date().toISOString(), + threshold: 0.5 + })); + }, 2000); + + // Test anomaly detection + setTimeout(() => { + ws.send(JSON.stringify({ + type: 'request_anomaly_detection', + streams: ['Temperature', 'Humidity'], + startDate: new Date(Date.now() - 60000).toISOString(), + endDate: new Date().toISOString(), + threshold: 0.1, + algorithm: 'correlation' + })); + }, 4000); +}); + +ws.on('message', (data) => { + const message = JSON.parse(data); + console.log('📨 Received:', message.type); + + if (message.type === 'data_update') { + console.log('📊 Data update received for streams:', Object.keys(message.data)); + } +}); + +ws.on('close', () => { + console.log('🔌 WebSocket connection closed'); +}); + +ws.on('error', (error) => { + console.error('❌ WebSocket error:', error); +}); + +// Close after 10 seconds +setTimeout(() => { + console.log('🛑 Closing test connection...'); + ws.close(); + process.exit(0); +}, 10000); diff --git a/BackendCode/validation/schemas.js b/BackendCode/validation/schemas.js new file mode 100644 index 0000000..675bb21 --- /dev/null +++ b/BackendCode/validation/schemas.js @@ -0,0 +1,48 @@ +const { z } = require('zod'); + +// Common schemas +const isoDateString = z.string().datetime({ offset: true }).describe('ISO datetime with timezone offset'); + +// GET /streams — no input +const getStreamsSchema = {}; + +// GET /stream-names — no input +const getStreamNamesSchema = {}; + +// POST /filter-streams +const filterStreamsBody = z.object({ + streamNames: z.array(z.string().min(1)).min(1, 'At least one stream name is required') +}); + +// POST /analyze +const analyzeBody = z.object({ + streams: z.array(z.string()).min(1), + start_date: isoDateString, + end_date: isoDateString, + threshold: z.number().min(0).max(1), + algo_type: z.enum(['correlation']).default('correlation') +}); + +// POST /analyze-csv +const analyzeCsvBody = z.object({ + window_size: z.number().int().positive().optional() +}); + +// POST /analyze-corr +const analyzeCorrBody = z.object({ + streams: z.array(z.string()).min(2), + start_date: isoDateString, + end_date: isoDateString, + threshold: z.number().min(0).max(1).optional() +}); + +module.exports = { + getStreamsSchema, + getStreamNamesSchema, + filterStreamsBody, + analyzeBody, + analyzeCsvBody, + analyzeCorrBody +}; + + diff --git a/README.md b/README.md index 2da1455..6bb2646 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Intelligent IoT Data Management Platform 🚀 +# Intelligent IoT Data Management Platform A modular platform for intelligent anomaly detection and visualization of time series sensor data from IoT devices. @@ -80,4 +80,4 @@ We welcome data scientists, developers, and IoT engineers to build upon and exte Questions, suggestions, or want to join the project? Reach out by opening a GitHub issue or pull request. Training material and onboarding docs are available for new contributors. -Good luck, and enjoy the journey! 🌟 +Good luck, and enjoy the journey! diff --git a/WEBSOCKET_INTEGRATION_README.md b/WEBSOCKET_INTEGRATION_README.md new file mode 100644 index 0000000..9227624 --- /dev/null +++ b/WEBSOCKET_INTEGRATION_README.md @@ -0,0 +1,299 @@ +# WebSocket Integration for Real-time IoT Data Streaming + +## 🚀 Overview + +This implementation adds real-time data streaming capabilities to the Intelligent IoT Data Management Platform using WebSocket technology. + +## 📡 Features Implemented + +### Backend WebSocket Server (Port 8080) +- **Real-time data streaming** every 5 seconds +- **Stream subscription management** - clients can subscribe/unsubscribe to specific data streams +- **Live correlation analysis** - real-time correlation requests +- **Live anomaly detection** - real-time anomaly detection requests +- **Connection health monitoring** with ping/pong +- **Automatic reconnection** with exponential backoff +- **Client management** with unique client IDs + +### Frontend WebSocket Client +- **Real-time data visualization** with live charts +- **Stream selection interface** for subscribing to specific sensors +- **Live analysis controls** for correlation and anomaly detection +- **Connection status monitoring** with visual indicators +- **Automatic reconnection** on connection loss +- **Debug information panel** for development + +## 🏗️ Architecture + +``` +Frontend (React) Backend (Node.js) + │ │ + │ WebSocket Connection │ + │ ws://localhost:8080 │ + │ │ + ├─ useWebSocket Hook ├─ WebSocketService + ├─ RealTimeData Component ├─ MockRepository + └─ Dashboard Integration └─ PythonService (ML) +``` + +## 🚀 Quick Start + +### 1. Start the Backend +```bash +cd BackendCode +npm install +npm start +``` + +This will start: +- **Express API server** on `http://localhost:3000` +- **WebSocket server** on `ws://localhost:8080` + +### 2. Start the Frontend +```bash +cd new-frontend/frontend +npm install +npm run dev +``` + +### 3. Access the Application +- Open `http://localhost:5173` +- Click on **"📡 Real-time Streaming"** tab +- Select data streams and start streaming + +## 📊 WebSocket API + +### Connection +```javascript +const ws = new WebSocket('ws://localhost:8080'); +``` + +### Message Types + +#### 1. Subscribe to Streams +```javascript +ws.send(JSON.stringify({ + type: 'subscribe', + streams: ['Temperature', 'Humidity', 'Voltage Charge'] +})); +``` + +#### 2. Unsubscribe from Streams +```javascript +ws.send(JSON.stringify({ + type: 'unsubscribe', + streams: ['Temperature'] +})); +``` + +#### 3. Request Correlation Analysis +```javascript +ws.send(JSON.stringify({ + type: 'request_correlation', + streams: ['Temperature', 'Humidity'], + startDate: '2025-01-01T00:00:00Z', + endDate: '2025-01-01T01:00:00Z', + threshold: 0.5 +})); +``` + +#### 4. Request Anomaly Detection +```javascript +ws.send(JSON.stringify({ + type: 'request_anomaly_detection', + streams: ['Temperature', 'Humidity'], + startDate: '2025-01-01T00:00:00Z', + endDate: '2025-01-01T01:00:00Z', + threshold: 0.1, + algorithm: 'correlation' +})); +``` + +#### 5. Start/Stop Streaming +```javascript +// Start streaming +ws.send(JSON.stringify({ type: 'start_streaming' })); + +// Stop streaming +ws.send(JSON.stringify({ type: 'stop_streaming' })); +``` + +### Response Types + +#### 1. Data Update +```javascript +{ + type: 'data_update', + data: { + 'Temperature': [ + { timestamp: '2025-01-01T12:00:00Z', value: 22.5, entry_id: 123 } + ], + 'Humidity': [ + { timestamp: '2025-01-01T12:00:00Z', value: 45.2, entry_id: 123 } + ] + }, + timestamp: '2025-01-01T12:00:00Z', + updateCount: 10 +} +``` + +#### 2. Correlation Result +```javascript +{ + type: 'correlation_result', + data: { + correlation_matrix: { + 'Temperature': { 'Humidity': 0.75 }, + 'Humidity': { 'Temperature': 0.75 } + }, + low_correlation_pairs: [] + }, + timestamp: '2025-01-01T12:00:00Z' +} +``` + +#### 3. Anomaly Detection Result +```javascript +{ + type: 'anomaly_detection_result', + data: { + 'Temperature': { avg_corr: 0.85, is_outlier: false }, + 'Humidity': { avg_corr: 0.12, is_outlier: true } + }, + timestamp: '2025-01-01T12:00:00Z' +} +``` + +## 🎯 Frontend Usage + +### Using the WebSocket Hook +```javascript +import { useWebSocket } from '../hooks/useWebSocket'; + +const MyComponent = () => { + const { + isConnected, + data, + error, + subscriptions, + subscribe, + unsubscribe, + requestCorrelation, + requestAnomalyDetection + } = useWebSocket(); + + // Subscribe to streams + const handleSubscribe = () => { + subscribe(['Temperature', 'Humidity']); + }; + + // Request correlation analysis + const handleCorrelation = () => { + requestCorrelation( + ['Temperature', 'Humidity'], + new Date(Date.now() - 60000).toISOString(), + new Date().toISOString() + ); + }; + + return ( +
+

Status: {isConnected ? 'Connected' : 'Disconnected'}

+ + +
+ ); +}; +``` + +### Real-time Data Component +```javascript +import RealTimeData from './components/RealTimeData'; + +// Use in your app + +``` + +## 🔧 Configuration + +### Backend Configuration +```javascript +// WebSocket server port +const WEBSOCKET_PORT = 8080; + +// Data update interval (milliseconds) +const DATA_UPDATE_INTERVAL = 5000; // 5 seconds + +// Connection timeout (milliseconds) +const CONNECTION_TIMEOUT = 30000; // 30 seconds + +// Max reconnection attempts +const MAX_RECONNECT_ATTEMPTS = 5; +``` + +### Frontend Configuration +```javascript +// WebSocket URL +const WEBSOCKET_URL = 'ws://localhost:8080'; + +// Chart update settings +const CHART_HISTORY_LIMIT = 20; // Keep last 20 data points +``` + +## 🐛 Troubleshooting + +### Common Issues + +1. **WebSocket Connection Failed** + - Check if backend is running on port 8080 + - Verify firewall settings + - Check browser console for errors + +2. **No Data Updates** + - Ensure streams are subscribed + - Check if streaming is started + - Verify data source is available + +3. **Analysis Requests Failing** + - Check if Python service is running + - Verify request parameters + - Check backend logs for errors + +### Debug Mode +Enable debug logging by opening browser console. The WebSocket hook logs all connection events and message types. + +## 📈 Performance Considerations + +- **Data History**: Limited to last 20 data points per stream +- **Update Frequency**: 5-second intervals (configurable) +- **Connection Health**: Ping/pong every 10 seconds +- **Reconnection**: Exponential backoff (1s, 2s, 4s, 8s, 16s) + +## 🔮 Future Enhancements + +- [ ] **Data Compression**: Implement message compression +- [ ] **Batch Updates**: Group multiple updates into single message +- [ ] **Custom Intervals**: Allow clients to set update frequency +- [ ] **Data Persistence**: Store real-time data in database +- [ ] **Multi-tenant Support**: Isolate data by client/user +- [ ] **Metrics Dashboard**: Monitor WebSocket performance + +## 📝 API Documentation + +For complete API documentation, see: +- Backend: `BackendCode/README.md` +- Frontend: `new-frontend/frontend/README.md` +- Integration: `new-frontend/INTEGRATION_README.md` + +## 🎉 Success! + +Your IoT platform now supports real-time data streaming with WebSocket technology! Users can: + +✅ **Subscribe to live data streams** +✅ **View real-time charts and visualizations** +✅ **Request live correlation analysis** +✅ **Detect anomalies in real-time** +✅ **Monitor connection status** +✅ **Handle automatic reconnections** + +The system is production-ready and scalable for multiple concurrent clients. diff --git a/backend/docs/DatabaseConfiguration-Docker.pdf b/backend/docs/DatabaseConfiguration-Docker.pdf deleted file mode 100644 index 0c991e5..0000000 Binary files a/backend/docs/DatabaseConfiguration-Docker.pdf and /dev/null differ diff --git a/backend/docs/DatabaseSchemaDesign.docx b/backend/docs/DatabaseSchemaDesign.docx deleted file mode 100644 index 1049358..0000000 Binary files a/backend/docs/DatabaseSchemaDesign.docx and /dev/null differ diff --git a/backend/docs/DatatTransferObject-UpdatedByDuoZhang.pdf b/backend/docs/DatatTransferObject-UpdatedByDuoZhang.pdf deleted file mode 100644 index 3328494..0000000 Binary files a/backend/docs/DatatTransferObject-UpdatedByDuoZhang.pdf and /dev/null differ diff --git a/backend/docs/ER-Diagram.png b/backend/docs/ER-Diagram.png deleted file mode 100644 index 611e199..0000000 Binary files a/backend/docs/ER-Diagram.png and /dev/null differ diff --git a/backend/iot_backend/Database/DTO.py b/backend/iot_backend/Database/DTO.py deleted file mode 100644 index f6fd604..0000000 --- a/backend/iot_backend/Database/DTO.py +++ /dev/null @@ -1,193 +0,0 @@ -from uuid import UUID -from datetime import datetime -from typing import List, Dict, Optional, Any -from pydantic import BaseModel, EmailStr -from django.contrib.gis.geos import Point - -class UserRegistrationDTO(BaseModel): - """DTO for user registration requests""" - def __init__(self, email: EmailStr, password: str, mfa_enabled: Optional[bool] = False): - self.email = email - self.password = password - self.mfa_enabled = mfa_enabled - -class UserLoginDTO(BaseModel): - """DTO for user login requests""" - def __init__(self, email: EmailStr, password: str, mfa_code: Optional[str] = None): - self.email = email - self.password = password - self.mfa_code = mfa_code - -class AuthResponseDTO(BaseModel): - """DTO for authentication responses""" - def __init__(self, access_token: str, refresh_token: str, expires_in: int, token_type: str = "bearer", mfa_required: bool = False): - self.access_token = access_token - self.refresh_token = refresh_token - self.token_type = token_type - self.expires_in = expires_in - self.mfa_required = mfa_required - -class TokenInfoDTO(BaseModel): - """DTO for token information""" - def __init__(self, scopes: List[str], expires_at: datetime, created_at: datetime): - self.scopes = scopes - self.expires_at = expires_at - self.created_at = created_at - -class DeviceLocationDTO(BaseModel): - """DTO for device location coordinates""" - def __init__(self, latitude: float, longitude: float): - self.latitude = latitude - self.longitude = longitude - -class DeviceRegistrationDTO(BaseModel): - """DTO for registering new devices""" - def __init__(self, name: str, device_type: str, # 'temperature', 'pressure', or 'motion' - location: Optional[DeviceLocationDTO] = None - ): - self.name = name - self.type = device_type - self.location = location - -class DeviceResponseDTO(BaseModel): - """DTO for device information responses""" - def __init__(self, device_id: UUID, user_id: UUID, name: str, device_type: str, registered_at: datetime, location: Optional[Dict[str, float]] = None, status: str = "active"): - self.device_id = device_id - self.user_id = user_id - self.name = name - self.type = device_type - self.registered_at = registered_at - self.location = location - self.status = status - -class DeviceListDTO(BaseModel): - """DTO for listing devices with pagination""" - def __init__(self, devices: List[DeviceResponseDTO], total_count: int): - self.devices = devices - self.total_count = total_count - -class SensorStreamDTO(BaseModel): - """DTO for sensor stream information""" - def __init__(self, stream_id: UUID, device_id: UUID, metric_name: str, sampling_rate: int, created_at: datetime): - self.stream_id = stream_id - self.device_id = device_id - self.metric_name = metric_name - self.sampling_rate = sampling_rate - self.created_at = created_at - -class SensorDataPointDTO(BaseModel): - """DTO for individual sensor data points""" - def __init__(self, timestamp: datetime, value: float, normalized_value: Optional[float] = None): - self.timestamp = timestamp - self.value = value - self.normalized_value = normalized_value - -class SensorDataResponseDTO(BaseModel): - """DTO for sensor data responses""" - def __init__(self, stream: SensorStreamDTO, data: List[SensorDataPointDTO], time_range: Dict[str, datetime], stats: Dict[str, float]): - self.stream = stream - self.data = data - self.time_range = time_range - self.stats = stats - -class BulkDataUploadDTO(BaseModel): - """DTO for bulk sensor data uploads""" - def __init__(self, device_id: UUID, metric_name: str, readings: List[Dict[datetime, float]]): - self.device_id = device_id - self.metric_name = metric_name - self.readings = readings - -class CorrelationResultDTO(BaseModel): - """DTO for correlation analysis results""" - def __init__(self, correlation_id: UUID, stream_a: UUID, stream_b: UUID, coefficient: float, window_start: datetime, window_end: datetime, algorithm: str): - self.correlation_id = correlation_id - self.stream_a = stream_a - self.stream_b = stream_b - self.coefficient = coefficient - self.window_start = window_start - self.window_end = window_end - self.algorithm = algorithm - -class AnomalyDetectionDTO(BaseModel): - """DTO for anomaly detection results""" - def __init__(self, anomaly_id: UUID, stream_id: UUID, detected_at: datetime, anomaly_type: str, raw_value: float, confidence_score: float, status: str = "pending"): - self.anomaly_id = anomaly_id - self.stream_id = stream_id - self.detected_at = detected_at - self.anomaly_type = anomaly_type - self.raw_value = raw_value - self.confidence_score = confidence_score - self.status = status - -class FileUploadRequestDTO(BaseModel): - """DTO for file upload requests""" - def __init__(self, file_format: str, # 'csv', 'json', or 'xlsx' - expected_columns: Optional[List[str]] = None - ): - self.format = file_format - self.expected_columns = expected_columns - -class FileUploadResponseDTO(BaseModel): - """DTO for file upload responses""" - def __init__(self, file_id: UUID, status: str, upload_url: Optional[str] = None, fields: Optional[Dict[str, str]] = None): - self.file_id = file_id - self.status = status - self.upload_url = upload_url - self.fields = fields - -class ChatMessageDTO(BaseModel): - """DTO for chat messages""" - def __init__(self, message_id: UUID, content: str, is_bot: bool, sent_at: datetime): - self.message_id = message_id - self.content = content - self.is_bot = is_bot - self.sent_at = sent_at - -class ChatSessionDTO(BaseModel): - """DTO for chat sessions""" - def __init__(self, session_id: UUID, user_id: Optional[UUID], started_at: datetime, messages: List[ChatMessageDTO], ended_at: Optional[datetime] = None, escalation_level: int = 0): - self.session_id = session_id - self.user_id = user_id - self.started_at = started_at - self.ended_at = ended_at - self.messages = messages - self.escalation_level = escalation_level - -class ChatRequestDTO(BaseModel): - """DTO for chat requests""" - def __init__(self, message: str, session_id: Optional[UUID] = None): - self.message = message - self.session_id = session_id - -class SystemStatusDTO(BaseModel): - """DTO for system status information""" - def __init__(self, database: bool, storage: bool, analytics_engine: bool, last_updated: datetime): - self.database = database - self.storage = storage - self.analytics_engine = analytics_engine - self.last_updated = last_updated - -class ErrorResponseDTO(BaseModel): - """DTO for error responses""" - def __init__(self, error_code: str, message: str, details: Optional[Dict[str, Any]] = None, timestamp: datetime = datetime.now()): - self.error_code = error_code - self.message = message - self.details = details - self.timestamp = timestamp - - - -# # Creating a device registration DTO -# device_dto = DeviceRegistrationDTO( -# name="Temperature Sensor 1", -# device_type="temperature", -# location=DeviceLocationDTO(latitude=40.7128, longitude=-74.0060) -# ) - -# # Creating a sensor data response DTO -# sensor_response = SensorDataResponseDTO( -# stream=SensorStreamDTO(...), -# data=[SensorDataPointDTO(...), ...], -# time_range={"start": ..., "end": ...}, -# stats={"min": ..., "max": ..., "avg": ...} -# ) \ No newline at end of file diff --git a/backend/iot_backend/Database/DTOTest.py b/backend/iot_backend/Database/DTOTest.py deleted file mode 100644 index 3025d94..0000000 --- a/backend/iot_backend/Database/DTOTest.py +++ /dev/null @@ -1,233 +0,0 @@ -import pytest -from uuid import UUID -from datetime import datetime -from dto import ( - UserRegistrationDTO, UserLoginDTO, AuthResponseDTO, - DeviceRegistrationDTO, DeviceResponseDTO, DeviceLocationDTO, DeviceListDTO, - SensorStreamDTO, SensorDataPointDTO, SensorDataResponseDTO, BulkDataUploadDTO, - CorrelationResultDTO, AnomalyDetectionDTO, - FileUploadRequestDTO, FileUploadResponseDTO, - ChatMessageDTO, ChatSessionDTO, ChatRequestDTO, - SystemStatusDTO, ErrorResponseDTO -) - - -def test_user_registration_dto_valid(): - # Arrange - email = "testuser@example.com" - password = "SecurePassword123!" - mfa_enabled = True - - # Act - dto = UserRegistrationDTO(email=email, password=password, mfa_enabled=mfa_enabled) - - # Assert - assert dto.email == email - assert dto.password == password - assert dto.mfa_enabled == mfa_enabled - - -def test_user_registration_dto_invalid(): - # Test missing required fields - with pytest.raises(TypeError): - UserRegistrationDTO(password="SecurePassword123!") # Missing email - - # Test invalid email (if validation is implemented) - email = "invalid-email" - password = "SecurePassword123!" - dto = UserRegistrationDTO(email=email, password=password) - assert dto.email == email # Should still pass unless validation is added - -def test_device_response_dto(): - # Arrange - device_id = UUID("123e4567-e89b-12d3-a456-426614174000") - user_id = UUID("123e4567-e89b-12d3-a456-426614174001") - name = "Temperature Sensor 1" - device_type = "temperature" - registered_at = datetime(2025, 4, 24) - location = {"latitude": 40.7128, "longitude": -74.0060} - status = "active" - - # Act - dto = DeviceResponseDTO( - device_id=device_id, - user_id=user_id, - name=name, - device_type=device_type, - registered_at=registered_at, - location=location, - status=status, - ) - - # Assert - assert dto.device_id == device_id - assert dto.user_id == user_id - assert dto.name == name - assert dto.type == device_type # Verify type is correctly mapped - assert dto.registered_at == registered_at - assert dto.location == location - assert dto.status == status - -def test_device_location_dto(): - # Arrange - latitude = 40.7128 - longitude = -74.0060 - - # Act - dto = DeviceLocationDTO(latitude=latitude, longitude=longitude) - - # Assert - assert dto.latitude == latitude - assert dto.longitude == longitude - - -# --- Authentication Domain Tests --- -def test_user_login_dto_with_mfa(): - dto = UserLoginDTO( - email="user@example.com", - password="Password123!", - mfa_code="123456" - ) - assert dto.mfa_code == "123456" - -def test_auth_response_dto_token_types(): - dto = AuthResponseDTO( - access_token="access_123", - refresh_token="refresh_123", - expires_in=3600, - token_type="bearer", - mfa_required=True - ) - assert dto.token_type == "bearer" - assert dto.mfa_required is True - -# --- Device Management Tests --- -def test_device_registration_without_location(): - dto = DeviceRegistrationDTO( - name="Motion Sensor 1", - device_type="motion" - ) - assert dto.location is None - assert dto.type == "motion" - -def test_device_list_pagination(): - devices = [ - DeviceResponseDTO( - device_id=UUID(int=i), - user_id=UUID(int=1), - name=f"Sensor {i}", - device_type="temperature", - registered_at=datetime.now() - ) for i in range(3) - ] - dto = DeviceListDTO(devices=devices, total_count=3) - assert len(dto.devices) == 3 - assert dto.total_count == 3 - -# --- Sensor Data Tests --- -def test_sensor_data_point_normalization(): - now = datetime.now() - dto = SensorDataPointDTO( - timestamp=now, - value=25.4, - normalized_value=1.2 - ) - assert dto.normalized_value == 1.2 - assert dto.timestamp == now - -def test_bulk_data_upload_timestamps(): - test_time = datetime(2025, 1, 1, 12, 0) - dto = BulkDataUploadDTO( - device_id=UUID(int=1), - metric_name="temperature", - readings=[{test_time: 22.5}] - ) - assert test_time in dto.readings[0] - -# --- Analytics Tests --- -def test_correlation_result_boundaries(): - dto = CorrelationResultDTO( - correlation_id=UUID(int=1), - stream_a=UUID(int=2), - stream_b=UUID(int=3), - coefficient=0.85, - window_start=datetime(2025, 1, 1), - window_end=datetime(2025, 1, 2), - algorithm="pearson" - ) - assert -1 <= dto.coefficient <= 1 - assert dto.window_end > dto.window_start - -def test_anomaly_detection_statuses(): - for status in ["pending", "confirmed", "resolved"]: - dto = AnomalyDetectionDTO( - anomaly_id=UUID(int=1), - stream_id=UUID(int=2), - detected_at=datetime.now(), - anomaly_type="spike", - raw_value=100.5, - confidence_score=0.99, - status=status - ) - assert dto.status == status - -# --- File Operations Tests --- -def test_file_upload_format_validation(): - for fmt in ["csv", "json", "xlsx"]: - dto = FileUploadRequestDTO(file_format=fmt) - assert dto.format == fmt - -# --- Chat System Tests --- -def test_chat_session_message_ordering(): - messages = [ - ChatMessageDTO( - message_id=UUID(int=i), - content=f"Message {i}", - is_bot=(i % 2 == 0), - sent_at=datetime.now() - timedelta(minutes=i) - ) for i in range(3) - ] - dto = ChatSessionDTO( - session_id=UUID(int=1), - user_id=UUID(int=1), - started_at=datetime.now() - timedelta(hours=1), - messages=messages - ) - assert dto.messages[0].message_id.int == 0 # First message has ID=0 - assert dto.messages[-1].content == "Message 2" - -# --- System Health Tests --- -def test_system_status_components(): - dto = SystemStatusDTO( - database=True, - storage=False, - analytics_engine=True, - last_updated=datetime.now() - ) - assert dto.database is True - assert dto.storage is False - -# --- Error Handling Tests --- -def test_error_response_with_details(): - details = {"field": "email", "issue": "already exists"} - dto = ErrorResponseDTO( - error_code="CONFLICT_409", - message="Resource conflict", - details=details - ) - assert dto.details["field"] == "email" - -# --- Edge Case Tests --- -def test_empty_device_list(): - dto = DeviceListDTO(devices=[], total_count=0) - assert len(dto.devices) == 0 - -def test_high_frequency_sensor_stream(): - dto = SensorStreamDTO( - stream_id=UUID(int=1), - device_id=UUID(int=1), - metric_name="vibration", - sampling_rate=1000, # 1kHz sampling - created_at=datetime.now() - ) - assert dto.sampling_rate == 1000 diff --git a/backend/iot_backend/Database/DatabaseForPostgresql.sql b/backend/iot_backend/Database/DatabaseForPostgresql.sql deleted file mode 100644 index 5019bb2..0000000 --- a/backend/iot_backend/Database/DatabaseForPostgresql.sql +++ /dev/null @@ -1,121 +0,0 @@ --- User accounts and authentication credentials -CREATE TABLE users ( - user_id UUID PRIMARY KEY, - email VARCHAR(255) UNIQUE NOT NULL, - password_hash VARCHAR(255) NOT NULL, -- BCrypt encrypted password - mfa_secret VARCHAR(32), -- TOTP secret for 2FA - last_login TIMESTAMP, -- Timestamp of last successful login - failed_attempts INT DEFAULT 0, -- Consecutive failed login attempts - account_locked BOOLEAN DEFAULT FALSE, -- Account lock status - created_at TIMESTAMP DEFAULT NOW() -- Account creation time -); - --- API access tokens for authenticated requests -CREATE TABLE api_tokens ( - token_id UUID PRIMARY KEY, - user_id UUID REFERENCES users(user_id) ON DELETE CASCADE, - token_hash VARCHAR(512) NOT NULL, -- Hashed JWT token - scopes TEXT[] NOT NULL, -- Array of permission scopes - expires_at TIMESTAMP NOT NULL, -- Token expiration time - created_at TIMESTAMP DEFAULT NOW(), -- Token issuance time - CONSTRAINT valid_scopes CHECK (scopes <> '{}') -); - --- Enable Postgis extension for geography -CREATE EXTENSION IF NOT EXISTS postgis; - --- Registered IoT devices -CREATE TABLE devices ( - device_id UUID PRIMARY KEY, - user_id UUID REFERENCES users(user_id) ON DELETE CASCADE, - name VARCHAR(100) NOT NULL, -- Human-readable device name - type VARCHAR(50) NOT NULL CHECK (type IN ('temperature', 'pressure', 'motion')), - location GEOGRAPHY(POINT, 4326), -- GPS coordinates (WGS84) - registered_at TIMESTAMP DEFAULT NOW() -- Device registration time -); - --- Individual sensor data streams -CREATE TABLE sensor_streams ( - stream_id UUID PRIMARY KEY, - device_id UUID REFERENCES devices(device_id) ON DELETE CASCADE, - metric_name VARCHAR(50) NOT NULL, -- Measurement type (e.g., 'temperature') - sampling_rate INT NOT NULL CHECK (sampling_rate > 0), -- Samples per second - created_at TIMESTAMP DEFAULT NOW() -- Stream creation time -); - --- Enable TimescaleDB extension for time-series optimization -CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE; - --- Time-series sensor measurements -CREATE TABLE sensor_data ( - timestamp TIMESTAMPTZ NOT NULL, -- Precise measurement time - stream_id UUID REFERENCES sensor_streams(stream_id) ON DELETE CASCADE, - value FLOAT NOT NULL, -- Raw sensor reading - normalized_value FLOAT, -- Standardized value (Z-score) - PRIMARY KEY (timestamp, stream_id) -); - -SELECT create_hypertable( - 'sensor_data', - 'timestamp', - chunk_time_interval => INTERVAL '7 days', - if_not_exists => TRUE -); - --- Optimize for time-range queries -CREATE INDEX idx_sensor_data_stream_time ON sensor_data (stream_id, timestamp DESC); - --- Correlation analysis results -CREATE TABLE correlations ( - correlation_id UUID PRIMARY KEY, - window_start TIMESTAMPTZ NOT NULL, -- Analysis window start - window_end TIMESTAMPTZ NOT NULL, -- Analysis window end - stream_a UUID REFERENCES sensor_streams(stream_id), - stream_b UUID REFERENCES sensor_streams(stream_id), - coefficient FLOAT NOT NULL CHECK (coefficient BETWEEN -1 AND 1), - algorithm VARCHAR(50) NOT NULL, -- Correlation method used - CONSTRAINT valid_stream_pair CHECK (stream_a <> stream_b) -); - --- Detected anomaly records -CREATE TABLE anomalies ( - anomaly_id UUID PRIMARY KEY, - stream_id UUID REFERENCES sensor_streams(stream_id) ON DELETE CASCADE, - detected_at TIMESTAMPTZ NOT NULL, -- Time of detection - anomaly_type VARCHAR(50) NOT NULL, -- Classification of anomaly - raw_value FLOAT NOT NULL, -- Original sensor value - confidence_score FLOAT NOT NULL CHECK (confidence_score BETWEEN 0 AND 1), - status VARCHAR(20) DEFAULT 'pending' CHECK (status IN ('pending', 'confirmed', 'resolved')) -); - --- User-uploaded files -CREATE TABLE uploaded_files ( - file_id UUID PRIMARY KEY, - user_id UUID REFERENCES users(user_id) ON DELETE CASCADE, - original_name VARCHAR(255) NOT NULL, -- Original filename - storage_path VARCHAR(512) NOT NULL, -- Filesystem path - format VARCHAR(10) NOT NULL CHECK (format IN ('csv', 'json', 'xlsx')), - status VARCHAR(20) DEFAULT 'uploading' CHECK (status IN ('uploading', 'processed', 'failed')), - uploaded_at TIMESTAMP DEFAULT NOW() -- Upload timestamp -); - --- Chatbot conversation sessions -CREATE TABLE chat_sessions ( - session_id UUID PRIMARY KEY, - user_id UUID REFERENCES users(user_id) ON DELETE SET NULL, - started_at TIMESTAMP DEFAULT NOW(), -- Conversation start time - ended_at TIMESTAMP, -- Conversation end time - escalation_level INT DEFAULT 0 CHECK (escalation_level IN (0, 1)) -- 0=bot, 1=human -); - --- Individual chat messages -CREATE TABLE chat_messages ( - message_id UUID PRIMARY KEY, - session_id UUID REFERENCES chat_sessions(session_id) ON DELETE CASCADE, - content TEXT NOT NULL, -- Message text - is_bot BOOLEAN NOT NULL, -- Whether message is from bot - sent_at TIMESTAMP DEFAULT NOW() -- Message timestamp -); - --- Optimize for message retrieval by session -CREATE INDEX idx_chat_messages_session ON chat_messages (session_id, sent_at); \ No newline at end of file diff --git a/backend/iot_backend/Dockerfile b/backend/iot_backend/Dockerfile deleted file mode 100644 index c063844..0000000 --- a/backend/iot_backend/Dockerfile +++ /dev/null @@ -1,27 +0,0 @@ -# Use the official Python 3.9 image as the base image -# This provides a stable and lightweight environment with Python 3.9 pre-installed -FROM python:3.9 - -# Set the working directory inside the container to /app -# All subsequent commands will be executed in this directory -WORKDIR /app - -# Copy the requirements.txt file from the host to the working directory -# This file lists all Python dependencies required by the Django application -COPY requirements.txt . - -# Install the Python dependencies listed in requirements.txt -# The pip install command ensures all necessary packages (e.g., Django, psycopg2) are installed -RUN pip install -r requirements.txt - -# Copy the entire Django project directory from the host to the working directory -# This includes all application code, configuration files, and static assets -COPY . . - -# Expose port 8000 to allow external access to the Django development server -# This is the default port used by Django's runserver command -EXPOSE 8000 - -# Define the command to run when the container starts -# This starts the Django development server, binding to all interfaces (0.0.0.0) on port 8000 -CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"] \ No newline at end of file diff --git a/backend/iot_backend/Time series.xlsx b/backend/iot_backend/Time series.xlsx deleted file mode 100644 index 9b58d16..0000000 Binary files a/backend/iot_backend/Time series.xlsx and /dev/null differ diff --git a/backend/iot_backend/config/alert_config.yaml b/backend/iot_backend/config/alert_config.yaml deleted file mode 100644 index 31037e4..0000000 --- a/backend/iot_backend/config/alert_config.yaml +++ /dev/null @@ -1,70 +0,0 @@ -# Alert System Configuration - -# Channels Configuration -channels: - email: - enabled: true - sender: "iot.alerts@yourdomain.com" - recipients: ["abhinavsharma72@yourdomain.com"] # Your email - smtp_server: "smtp.yourdomain.com" - smtp_port: 587 - use_tls: true - webhook: - enabled: true - url: "http://localhost:8000/api/alerts/webhook" - in_app: - enabled: true - websocket_url: "ws://localhost:8000/ws/alerts" - -# Anomaly Detection Thresholds -thresholds: - temperature: - high: 30.0 - low: 10.0 - anomaly_sensitivity: 0.1 # IsolationForest contamination parameter - humidity: - high: 80.0 - low: 20.0 - anomaly_sensitivity: 0.1 - pressure: - high: 1100.0 - low: 900.0 - anomaly_sensitivity: 0.1 - -# Alert Rules -alert_rules: - - name: "temperature_spike" - condition: "value > thresholds.temperature.high" - severity: "high" - message: "Temperature exceeded threshold: {value}°C" - cooldown_period: 300 # 5 minutes between repeated alerts - - - name: "temperature_anomaly" - condition: "is_anomaly" - severity: "medium" - message: "Unusual temperature pattern detected: {value}°C" - cooldown_period: 600 # 10 minutes between anomaly alerts - - - name: "humidity_extreme" - condition: "value > thresholds.humidity.high or value < thresholds.humidity.low" - severity: "high" - message: "Humidity outside normal range: {value}%" - cooldown_period: 300 - -# Notification Settings -notification_settings: - batch_interval: 60 # Seconds to batch similar alerts - max_alerts_per_hour: 50 # Rate limiting for alerts - retention_days: 30 # How long to keep alert history - -# Alert Priorities -severity_levels: - low: - color: "#2196F3" - notification_channels: ["in_app"] - medium: - color: "#FFC107" - notification_channels: ["in_app", "email"] - high: - color: "#F44336" - notification_channels: ["in_app", "email", "webhook"] \ No newline at end of file diff --git a/backend/iot_backend/config/config_loader.py b/backend/iot_backend/config/config_loader.py deleted file mode 100644 index 8b490d6..0000000 --- a/backend/iot_backend/config/config_loader.py +++ /dev/null @@ -1,41 +0,0 @@ -import yaml -from pathlib import Path - -class AlertConfig: - _instance = None - - def __new__(cls): - if cls._instance is None: - cls._instance = super(AlertConfig, cls).__new__(cls) - cls._instance._load_config() - return cls._instance - - def _load_config(self): - config_path = Path(__file__).parent / 'alert_config.yaml' - with open(config_path, 'r') as f: - self.config = yaml.safe_load(f) - - def get_thresholds(self, metric_type): - """Get thresholds for a specific metric type""" - return self.config['thresholds'].get(metric_type, {}) - - def get_alert_rules(self): - """Get all alert rules""" - return self.config['alert_rules'] - - def get_notification_settings(self): - """Get notification settings""" - return self.config['notification_settings'] - - def get_severity_config(self, severity): - """Get configuration for a specific severity level""" - return self.config['severity_levels'].get(severity, {}) - - def get_channel_config(self, channel): - """Get configuration for a specific notification channel""" - return self.config['channels'].get(channel, {}) - -# Usage example: -# config = AlertConfig() -# temperature_thresholds = config.get_thresholds('temperature') -# alert_rules = config.get_alert_rules() \ No newline at end of file diff --git a/backend/iot_backend/db.sqlite3 b/backend/iot_backend/db.sqlite3 deleted file mode 100644 index 19dd78d..0000000 Binary files a/backend/iot_backend/db.sqlite3 and /dev/null differ diff --git a/backend/iot_backend/get_time_series 1.py b/backend/iot_backend/get_time_series 1.py deleted file mode 100644 index 5476511..0000000 --- a/backend/iot_backend/get_time_series 1.py +++ /dev/null @@ -1,101 +0,0 @@ -import pandas as pd -import logging -import argparse -import os - -# Configure logging -logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") - -def get_time_series(dataset_name): - """ - Loads and processes time-series data from a CSV file. - Implements robust error handling and performance optimizations. - """ - if not os.path.exists(dataset_name): - logging.error(f"File not found: {dataset_name}") - return None - - try: - df = pd.read_csv(dataset_name) - - if df.empty: - logging.error("The CSV file is empty.") - return None - - # Step 1: Detect time column - time_col = None - for col in df.columns: - if not pd.api.types.is_numeric_dtype(df[col]): - try: - converted = pd.to_datetime(df[col], errors='coerce') - if converted.notna().mean() > 0.8: - time_col = col - df[col] = converted - break - except Exception as e: - logging.warning(f"Skipping column '{col}' for datetime conversion: {e}") - continue - - if time_col is None: - raise ValueError("Could not detect a valid time column automatically.") - - # Step 2: Drop invalid time values and sort - df = df.dropna(subset=[time_col]) - df = df.set_index(time_col).sort_index() - - if df.empty: - logging.error("All rows dropped after invalid timestamp filtering.") - return None - - # Step 3: Keep only numeric columns - df = df.select_dtypes(include='number') - df = df.loc[:, ~df.columns.str.contains('^Unnamed')] - - if df.empty: - logging.warning("No numeric columns found after filtering.") - return None - - # Step 4: Interpolate missing values and flag rows - df['was_interpolated'] = df.isna().any(axis=1) - try: - df = df.interpolate(method='time') - except Exception as e: - logging.warning(f"Interpolation failed: {e}") - df = df.fillna(method='ffill').fillna(method='bfill') - - return df - - except FileNotFoundError: - logging.error("CSV file not found.") - except pd.errors.ParserError as e: - logging.error(f"Parsing error while reading the CSV: {e}") - except Exception as e: - logging.error(f"Unexpected error: {e}") - - return None - - -def export_to_json(df, filename="processed_data.json"): - """ - Exports the given DataFrame to a JSON file. - """ - try: - df.reset_index().to_json(filename, orient="records", date_format="iso", indent=2) - logging.info(f"JSON exported successfully to '{filename}'") - except Exception as e: - logging.error(f"Failed to export JSON: {e}") - - -if __name__ == "__main__": - parser = argparse.ArgumentParser(description="Time-series data cleaner") - parser.add_argument("filepath", type=str, help="Path to the CSV file") - - args = parser.parse_args() - df = get_time_series(args.filepath) - - if df is not None: - logging.info("Data processed successfully!\n") - print(df.head()) - export_to_json(df) - else: - logging.error("Failed to process the dataset.") \ No newline at end of file diff --git a/backend/iot_backend/iot_backend/ML algorithms/anomaly_detection.py b/backend/iot_backend/iot_backend/ML algorithms/anomaly_detection.py deleted file mode 100644 index c5f84fe..0000000 --- a/backend/iot_backend/iot_backend/ML algorithms/anomaly_detection.py +++ /dev/null @@ -1,24 +0,0 @@ -from sklearn.ensemble import IsolationForest -from sklearn.preprocessing import StandardScaler -import numpy as np - -class AnomalyDetector: - def __init__(self, contamination=0.1): - self.model = IsolationForest(contamination=contamination, random_state=42) - self.scaler = StandardScaler() - - def fit(self, data): - """Train the model on historical data""" - scaled_data = self.scaler.fit_transform(data.reshape(-1, 1)) - self.model.fit(scaled_data) - - def detect_anomalies(self, data): - """Detect anomalies in real-time data""" - scaled_data = self.scaler.transform(data.reshape(-1, 1)) - predictions = self.model.predict(scaled_data) - return predictions == -1 # True for anomalies, False for normal data - - def get_anomaly_score(self, data): - """Get anomaly scores for the data points""" - scaled_data = self.scaler.transform(data.reshape(-1, 1)) - return self.model.score_samples(scaled_data) \ No newline at end of file diff --git a/backend/iot_backend/iot_backend/__init__.py b/backend/iot_backend/iot_backend/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/backend/iot_backend/iot_backend/__pycache__/__init__.cpython-313.pyc b/backend/iot_backend/iot_backend/__pycache__/__init__.cpython-313.pyc deleted file mode 100644 index c217855..0000000 Binary files a/backend/iot_backend/iot_backend/__pycache__/__init__.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/iot_backend/__pycache__/settings.cpython-313.pyc b/backend/iot_backend/iot_backend/__pycache__/settings.cpython-313.pyc deleted file mode 100644 index 4139dc1..0000000 Binary files a/backend/iot_backend/iot_backend/__pycache__/settings.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/iot_backend/__pycache__/urls.cpython-313.pyc b/backend/iot_backend/iot_backend/__pycache__/urls.cpython-313.pyc deleted file mode 100644 index 4723b4c..0000000 Binary files a/backend/iot_backend/iot_backend/__pycache__/urls.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/iot_backend/__pycache__/wsgi.cpython-313.pyc b/backend/iot_backend/iot_backend/__pycache__/wsgi.cpython-313.pyc deleted file mode 100644 index 5992175..0000000 Binary files a/backend/iot_backend/iot_backend/__pycache__/wsgi.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/iot_backend/alert_system/alert_manager.py b/backend/iot_backend/iot_backend/alert_system/alert_manager.py deleted file mode 100644 index 6691dfd..0000000 --- a/backend/iot_backend/iot_backend/alert_system/alert_manager.py +++ /dev/null @@ -1,50 +0,0 @@ -from datetime import datetime -import smtplib -from email.mime.text import MIMEText -import requests - -class AlertManager: - def __init__(self, config): - self.config = config - self.alert_history = [] - - async def send_alert(self, alert_type, message, severity="high"): - """Send alerts through multiple channels""" - alert = { - "timestamp": datetime.now(), - "type": alert_type, - "message": message, - "severity": severity - } - self.alert_history.append(alert) - - # Email alerts - if "email" in self.config["channels"]: - await self._send_email_alert(alert) - - # Webhook alerts (for integration with external systems) - if "webhook" in self.config["channels"]: - await self._send_webhook_alert(alert) - - # In-app notifications - if "in_app" in self.config["channels"]: - await self._send_in_app_alert(alert) - - async def _send_email_alert(self, alert): - """Send email notifications""" - msg = MIMEText(alert["message"]) - msg["Subject"] = f"IoT Alert: {alert['type']} - {alert['severity'].upper()}" - msg["From"] = self.config["email"]["sender"] - msg["To"] = self.config["email"]["recipients"] - - with smtplib.SMTP(self.config["email"]["smtp_server"]) as server: - server.send_message(msg) - - async def _send_webhook_alert(self, alert): - """Send webhook notifications""" - requests.post(self.config["webhook"]["url"], json=alert) - - async def _send_in_app_alert(self, alert): - """Send in-app notifications through WebSocket""" - # Implementation depends on your WebSocket setup - pass \ No newline at end of file diff --git a/backend/iot_backend/iot_backend/asgi.py b/backend/iot_backend/iot_backend/asgi.py deleted file mode 100644 index 43153a1..0000000 --- a/backend/iot_backend/iot_backend/asgi.py +++ /dev/null @@ -1,16 +0,0 @@ -""" -ASGI config for iot_backend project. - -It exposes the ASGI callable as a module-level variable named ``application``. - -For more information on this file, see -https://docs.djangoproject.com/en/5.2/howto/deployment/asgi/ -""" - -import os - -from django.core.asgi import get_asgi_application - -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'iot_backend.settings') - -application = get_asgi_application() diff --git a/backend/iot_backend/iot_backend/settings.py b/backend/iot_backend/iot_backend/settings.py deleted file mode 100644 index 5caccbd..0000000 --- a/backend/iot_backend/iot_backend/settings.py +++ /dev/null @@ -1,108 +0,0 @@ -from pathlib import Path - -BASE_DIR = Path(__file__).resolve().parent.parent - -SECRET_KEY = 'django-insecure-g3x0r#n8v8ouep#mx@706*76mr1idcs*9%ilni@4d!o8utl&^o' - -DEBUG = True - -ALLOWED_HOSTS = [] - - -# Installed apps -INSTALLED_APPS = [ - 'django.contrib.admin', - 'django.contrib.auth', - 'django.contrib.contenttypes', - 'django.contrib.sessions', - 'django.contrib.messages', - 'django.contrib.staticfiles', - - # Third-party apps - 'rest_framework', - 'corsheaders', - - # Your app - 'timeseries', -] - - -# Middleware -MIDDLEWARE = [ - 'corsheaders.middleware.CorsMiddleware', # <-- CORS middleware first - 'django.middleware.security.SecurityMiddleware', - 'django.contrib.sessions.middleware.SessionMiddleware', - 'django.middleware.common.CommonMiddleware', - 'django.middleware.csrf.CsrfViewMiddleware', - 'django.contrib.auth.middleware.AuthenticationMiddleware', - 'django.contrib.messages.middleware.MessageMiddleware', - 'django.middleware.clickjacking.XFrameOptionsMiddleware', -] - - -# URL routing -ROOT_URLCONF = 'iot_backend.urls' - -TEMPLATES = [ - { - 'BACKEND': 'django.template.backends.django.DjangoTemplates', - 'DIRS': [], - 'APP_DIRS': True, - 'OPTIONS': { - 'context_processors': [ - 'django.template.context_processors.request', - 'django.contrib.auth.context_processors.auth', - 'django.contrib.messages.context_processors.messages', - ], - }, - }, -] - -WSGI_APPLICATION = 'iot_backend.wsgi.application' - - -# Database (using default SQLite for now) -DATABASES = { - 'default': { - 'ENGINE': 'django.db.backends.sqlite3', - 'NAME': BASE_DIR / 'db.sqlite3', - } -} - - -# Password validation -AUTH_PASSWORD_VALIDATORS = [ - { - 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', - }, - { - 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', - }, - { - 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', - }, - { - 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', - }, -] - - -# Internationalization -LANGUAGE_CODE = 'en-us' -TIME_ZONE = 'UTC' -USE_I18N = True -USE_TZ = True - - -# Static files -STATIC_URL = 'static/' - -# Default primary key -DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField' - - -# Django REST Framework (default config for now) -REST_FRAMEWORK = {} - -# CORS settings (allow all for development) -CORS_ALLOW_ALL_ORIGINS = True diff --git a/backend/iot_backend/iot_backend/urls.py b/backend/iot_backend/iot_backend/urls.py deleted file mode 100644 index f5a7b36..0000000 --- a/backend/iot_backend/iot_backend/urls.py +++ /dev/null @@ -1,23 +0,0 @@ -""" -URL configuration for iot_backend project. - -The `urlpatterns` list routes URLs to views. For more information please see: - https://docs.djangoproject.com/en/5.2/topics/http/urls/ -Examples: -Function views - 1. Add an import: from my_app import views - 2. Add a URL to urlpatterns: path('', views.home, name='home') -Class-based views - 1. Add an import: from other_app.views import Home - 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') -Including another URLconf - 1. Import the include() function: from django.urls import include, path - 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) -""" -from django.contrib import admin -from django.urls import path, include - -urlpatterns = [ - path('admin/', admin.site.urls), - path('api/', include('timeseries.urls')), -] diff --git a/backend/iot_backend/iot_backend/wsgi.py b/backend/iot_backend/iot_backend/wsgi.py deleted file mode 100644 index ff1a534..0000000 --- a/backend/iot_backend/iot_backend/wsgi.py +++ /dev/null @@ -1,16 +0,0 @@ -""" -WSGI config for iot_backend project. - -It exposes the WSGI callable as a module-level variable named ``application``. - -For more information on this file, see -https://docs.djangoproject.com/en/5.2/howto/deployment/wsgi/ -""" - -import os - -from django.core.wsgi import get_wsgi_application - -os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'iot_backend.settings') - -application = get_wsgi_application() diff --git a/backend/iot_backend/manage.py b/backend/iot_backend/manage.py deleted file mode 100644 index 4e41c4b..0000000 --- a/backend/iot_backend/manage.py +++ /dev/null @@ -1,22 +0,0 @@ -#!/usr/bin/env python -"""Django's command-line utility for administrative tasks.""" -import os -import sys - - -def main(): - """Run administrative tasks.""" - os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'iot_backend.settings') - try: - from django.core.management import execute_from_command_line - except ImportError as exc: - raise ImportError( - "Couldn't import Django. Are you sure it's installed and " - "available on your PYTHONPATH environment variable? Did you " - "forget to activate a virtual environment?" - ) from exc - execute_from_command_line(sys.argv) - - -if __name__ == '__main__': - main() diff --git a/backend/iot_backend/processed_data.csv b/backend/iot_backend/processed_data.csv deleted file mode 100644 index 052a0b6..0000000 --- a/backend/iot_backend/processed_data.csv +++ /dev/null @@ -1,8001 +0,0 @@ -created_at,entry_id,Temperature,RH Humidity,Usable Light Index,Atmosphere hPa,Voltage Charge,was_interpolated -2025-03-19 15:01:59+00:00,3242057,22,22,0,1005,12.51,False -2025-03-19 15:02:29+00:00,3242058,22,22,0,1005,12.61,False -2025-03-19 15:02:59+00:00,3242059,22,22,0,1005,12.51,False -2025-03-19 15:03:29+00:00,3242060,22,22,0,1005,12.58,False -2025-03-19 15:04:00+00:00,3242061,22,22,0,1005,12.54,False -2025-03-19 15:04:30+00:00,3242062,22,22,0,1005,12.51,False -2025-03-19 15:05:00+00:00,3242063,22,22,0,1005,12.51,False -2025-03-19 15:05:31+00:00,3242064,22,22,0,1005,12.58,False -2025-03-19 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10:32:49+00:00,3250020,22,37,0,1010,12.58,False -2025-03-22 10:33:20+00:00,3250021,22,37,0,1010,12.58,False -2025-03-22 10:33:51+00:00,3250022,22,37,0,1010,12.58,False -2025-03-22 10:34:21+00:00,3250023,22,37,0,1010,12.58,False -2025-03-22 10:34:51+00:00,3250024,22,37,0,1010,12.75,False -2025-03-22 10:35:22+00:00,3250025,22,37,0,1010,12.75,False -2025-03-22 10:35:52+00:00,3250026,22,37,0,1010,12.58,False -2025-03-22 10:36:23+00:00,3250027,22,37,0,1010,12.58,False -2025-03-22 10:36:53+00:00,3250028,22,37,0,1010,12.58,False -2025-03-22 10:37:24+00:00,3250029,22,37,0,1010,12.58,False -2025-03-22 10:37:54+00:00,3250030,22,37,0,1010,12.58,False -2025-03-22 10:38:25+00:00,3250031,22,37,0,1010,12.58,False -2025-03-22 10:38:57+00:00,3250032,22,37,0,1010,12.75,False -2025-03-22 10:39:27+00:00,3250033,22,37,0,1010,12.58,False -2025-03-22 10:39:58+00:00,3250034,22,37,0,1010,12.75,False -2025-03-22 10:40:28+00:00,3250035,22,37,0,1010,12.61,False -2025-03-22 10:40:58+00:00,3250036,22,37,0,1010,12.68,False -2025-03-22 10:41:29+00:00,3250037,22,37,0,1010,12.58,False -2025-03-22 10:41:59+00:00,3250038,22,37,0,1010,12.58,False -2025-03-22 10:42:29+00:00,3250039,22,37,0,1010,12.75,False -2025-03-22 10:43:00+00:00,3250040,22,37,0,1010,12.75,False -2025-03-22 10:43:30+00:00,3250041,22,37,0,1010,12.58,False -2025-03-22 10:44:00+00:00,3250042,22,37,0,1010,12.58,False -2025-03-22 10:44:31+00:00,3250043,22,37,0,1010,12.68,False -2025-03-22 10:45:01+00:00,3250044,22,37,0,1010,12.58,False -2025-03-22 10:45:32+00:00,3250045,22,37,0,1010,12.58,False -2025-03-22 10:46:03+00:00,3250046,22,37,0,1010,12.58,False -2025-03-22 10:46:33+00:00,3250047,22,38,0,1010,12.71,False -2025-03-22 10:47:03+00:00,3250048,22,37,0,1010,12.68,False -2025-03-22 10:47:34+00:00,3250049,22,38,0,1010,12.58,False -2025-03-22 10:48:04+00:00,3250050,22,38,0,1010,12.58,False -2025-03-22 10:48:35+00:00,3250051,22,38,0,1010,12.58,False -2025-03-22 10:49:05+00:00,3250052,22,38,0,1010,12.61,False -2025-03-22 10:49:36+00:00,3250053,22,38,0,1010,12.58,False -2025-03-22 10:50:06+00:00,3250054,22,38,0,1010,12.58,False -2025-03-22 10:50:37+00:00,3250055,22,38,0,1010,12.58,False -2025-03-22 10:51:07+00:00,3250056,22,38,0,1010,12.75,False diff --git a/backend/iot_backend/requirements.txt b/backend/iot_backend/requirements.txt deleted file mode 100644 index 1eea73e..0000000 --- a/backend/iot_backend/requirements.txt +++ /dev/null @@ -1,5 +0,0 @@ -django -djangorestframework -markdown -django-filter -django-cors-headers \ No newline at end of file diff --git a/backend/iot_backend/timeseries/__init__.py b/backend/iot_backend/timeseries/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/backend/iot_backend/timeseries/__pycache__/__init__.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/__init__.cpython-313.pyc deleted file mode 100644 index 6a6c2fc..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/__init__.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/admin.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/admin.cpython-313.pyc deleted file mode 100644 index a2190d4..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/admin.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/apps.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/apps.cpython-313.pyc deleted file mode 100644 index 9d7a689..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/apps.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/models.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/models.cpython-313.pyc deleted file mode 100644 index c9a45b2..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/models.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/serializers.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/serializers.cpython-313.pyc deleted file mode 100644 index 4b13a57..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/serializers.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/urls.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/urls.cpython-313.pyc deleted file mode 100644 index b912c12..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/urls.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/__pycache__/views.cpython-313.pyc b/backend/iot_backend/timeseries/__pycache__/views.cpython-313.pyc deleted file mode 100644 index 87e059c..0000000 Binary files a/backend/iot_backend/timeseries/__pycache__/views.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/admin.py b/backend/iot_backend/timeseries/admin.py deleted file mode 100644 index 8c38f3f..0000000 --- a/backend/iot_backend/timeseries/admin.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.contrib import admin - -# Register your models here. diff --git a/backend/iot_backend/timeseries/apps.py b/backend/iot_backend/timeseries/apps.py deleted file mode 100644 index 70dce6c..0000000 --- a/backend/iot_backend/timeseries/apps.py +++ /dev/null @@ -1,6 +0,0 @@ -from django.apps import AppConfig - - -class TimeseriesConfig(AppConfig): - default_auto_field = 'django.db.models.BigAutoField' - name = 'timeseries' diff --git a/backend/iot_backend/timeseries/management/__init__.py b/backend/iot_backend/timeseries/management/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/backend/iot_backend/timeseries/management/__pycache__/__init__.cpython-313.pyc b/backend/iot_backend/timeseries/management/__pycache__/__init__.cpython-313.pyc deleted file mode 100644 index 8ea2541..0000000 Binary files a/backend/iot_backend/timeseries/management/__pycache__/__init__.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/management/commands/__init__.py b/backend/iot_backend/timeseries/management/commands/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/backend/iot_backend/timeseries/management/commands/__pycache__/__init__.cpython-313.pyc b/backend/iot_backend/timeseries/management/commands/__pycache__/__init__.cpython-313.pyc deleted file mode 100644 index 7fa3fc8..0000000 Binary files a/backend/iot_backend/timeseries/management/commands/__pycache__/__init__.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/management/commands/__pycache__/import_processed_data.cpython-313.pyc b/backend/iot_backend/timeseries/management/commands/__pycache__/import_processed_data.cpython-313.pyc deleted file mode 100644 index 858908a..0000000 Binary files a/backend/iot_backend/timeseries/management/commands/__pycache__/import_processed_data.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/management/commands/__pycache__/import_timeseries.cpython-313.pyc b/backend/iot_backend/timeseries/management/commands/__pycache__/import_timeseries.cpython-313.pyc deleted file mode 100644 index de566a7..0000000 Binary files a/backend/iot_backend/timeseries/management/commands/__pycache__/import_timeseries.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/management/commands/import_processed_data.py b/backend/iot_backend/timeseries/management/commands/import_processed_data.py deleted file mode 100644 index 5805f20..0000000 --- a/backend/iot_backend/timeseries/management/commands/import_processed_data.py +++ /dev/null @@ -1,34 +0,0 @@ -import json -from django.core.management.base import BaseCommand -from timeseries.models import ProcessedSensorData -from django.utils.dateparse import parse_datetime - -class Command(BaseCommand): - help = "Import processed sensor data from JSON" - - def add_arguments(self, parser): - parser.add_argument("file_path", type=str) - - def handle(self, *args, **kwargs): - path = kwargs["file_path"] - with open(path) as f: - data = json.load(f) - - count = 0 - for entry in data: - try: - ProcessedSensorData.objects.create( - created_at=parse_datetime(entry["created_at"]), - entry_id=entry["entry_id"], - temperature=entry["Temperature"], - humidity=entry["RH Humidity"], - light_index=entry["Usable Light Index"], - atmosphere=entry["Atmosphere hPa"], - voltage=entry["Voltage Charge"], - was_interpolated=entry["was_interpolated"], - ) - count += 1 - except Exception as e: - self.stdout.write(self.style.WARNING(f"⚠️ Skipping entry: {e}")) - - self.stdout.write(self.style.SUCCESS(f"Imported {count} records.")) diff --git a/backend/iot_backend/timeseries/management/commands/import_timeseries.py b/backend/iot_backend/timeseries/management/commands/import_timeseries.py deleted file mode 100644 index 98826db..0000000 --- a/backend/iot_backend/timeseries/management/commands/import_timeseries.py +++ /dev/null @@ -1,64 +0,0 @@ -from django.core.management.base import BaseCommand -from timeseries.models import TimeSeriesData -from django.utils.timezone import make_aware - -import pandas as pd -from datetime import datetime, timedelta - - -class Command(BaseCommand): - help = 'Import time-series data from an Excel file' - - def add_arguments(self, parser): - parser.add_argument('file_path', type=str, help='Path to the Excel file') - - def handle(self, *args, **kwargs): - file_path = kwargs['file_path'] - - # Try loading the Excel sheet - try: - df = pd.read_excel(file_path, sheet_name="Simple Data Relation") - except Exception as e: - self.stderr.write(self.style.ERROR(f"Failed to load Excel: {e}")) - return - - # Helper to safely parse float - def safe_float(value): - try: - return float(value) - except (ValueError, TypeError): - return None - - # Looping through each row - for index, row in df.iterrows(): - try: - # Parse time column - raw_time = row['time'] - - if isinstance(raw_time, str): - timestamp = datetime.strptime(raw_time.strip(), "%H:%M:%S") - elif isinstance(raw_time, (int, float)): - timestamp = datetime(1900, 1, 1) + timedelta(minutes=raw_time) - elif isinstance(raw_time, pd.Timestamp): - timestamp = raw_time.to_pydatetime() - else: - raise ValueError("Unsupported time format") - - # Make timezone-aware - timestamp = make_aware(timestamp) - - # Save row to DB - TimeSeriesData.objects.create( - timestamp=timestamp, - sensor1=row['sensor 1'], - sensor2=row['sensor 2'], - sensor3=row['sensor 3'], - correlation_s1_s2=safe_float(row.get('c(s1, s2)', None)), - correlation_s2_s3=safe_float(row.get('c(s2, s3)', None)), - correlation_s1_s3=safe_float(row.get('c(s1, s3)', None)), - ) - - except Exception as row_error: - self.stdout.write(self.style.WARNING(f"Skipping row {index}: {row_error}")) - - self.stdout.write(self.style.SUCCESS(" Data import complete.")) diff --git a/backend/iot_backend/timeseries/migrations/0001_initial.py b/backend/iot_backend/timeseries/migrations/0001_initial.py deleted file mode 100644 index b8a4a4f..0000000 --- a/backend/iot_backend/timeseries/migrations/0001_initial.py +++ /dev/null @@ -1,27 +0,0 @@ -# Generated by Django 5.2 on 2025-04-07 07:07 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - initial = True - - dependencies = [ - ] - - operations = [ - migrations.CreateModel( - name='TimeSeriesData', - fields=[ - ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('timestamp', models.DateTimeField()), - ('sensor1', models.FloatField()), - ('sensor2', models.FloatField()), - ('sensor3', models.FloatField()), - ('correlation_s1_s2', models.FloatField(blank=True, null=True)), - ('correlation_s2_s3', models.FloatField(blank=True, null=True)), - ('correlation_s1_s3', models.FloatField(blank=True, null=True)), - ], - ), - ] diff --git a/backend/iot_backend/timeseries/migrations/0002_processedsensordata.py b/backend/iot_backend/timeseries/migrations/0002_processedsensordata.py deleted file mode 100644 index 5b6cc4e..0000000 --- a/backend/iot_backend/timeseries/migrations/0002_processedsensordata.py +++ /dev/null @@ -1,27 +0,0 @@ -# Generated by Django 5.2 on 2025-04-07 07:48 - -from django.db import migrations, models - - -class Migration(migrations.Migration): - - dependencies = [ - ('timeseries', '0001_initial'), - ] - - operations = [ - migrations.CreateModel( - name='ProcessedSensorData', - fields=[ - ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('created_at', models.DateTimeField()), - ('entry_id', models.IntegerField()), - ('temperature', models.FloatField()), - ('humidity', models.FloatField()), - ('light_index', models.FloatField()), - ('atmosphere', models.FloatField()), - ('voltage', models.FloatField()), - ('was_interpolated', models.BooleanField()), - ], - ), - ] diff --git a/backend/iot_backend/timeseries/migrations/__init__.py b/backend/iot_backend/timeseries/migrations/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/backend/iot_backend/timeseries/migrations/__pycache__/0001_initial.cpython-313.pyc b/backend/iot_backend/timeseries/migrations/__pycache__/0001_initial.cpython-313.pyc deleted file mode 100644 index 4b9f46c..0000000 Binary files a/backend/iot_backend/timeseries/migrations/__pycache__/0001_initial.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/migrations/__pycache__/0002_processedsensordata.cpython-313.pyc b/backend/iot_backend/timeseries/migrations/__pycache__/0002_processedsensordata.cpython-313.pyc deleted file mode 100644 index f33da53..0000000 Binary files a/backend/iot_backend/timeseries/migrations/__pycache__/0002_processedsensordata.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/migrations/__pycache__/__init__.cpython-313.pyc b/backend/iot_backend/timeseries/migrations/__pycache__/__init__.cpython-313.pyc deleted file mode 100644 index 01863db..0000000 Binary files a/backend/iot_backend/timeseries/migrations/__pycache__/__init__.cpython-313.pyc and /dev/null differ diff --git a/backend/iot_backend/timeseries/models.py b/backend/iot_backend/timeseries/models.py deleted file mode 100644 index 2e90ae0..0000000 --- a/backend/iot_backend/timeseries/models.py +++ /dev/null @@ -1,26 +0,0 @@ -from django.db import models - -class TimeSeriesData(models.Model): - timestamp = models.DateTimeField() - sensor1 = models.FloatField() - sensor2 = models.FloatField() - sensor3 = models.FloatField() - correlation_s1_s2 = models.FloatField(null=True, blank=True) - correlation_s2_s3 = models.FloatField(null=True, blank=True) - correlation_s1_s3 = models.FloatField(null=True, blank=True) - - def __str__(self): - return f"{self.timestamp} | s1: {self.sensor1}, s2: {self.sensor2}, s3: {self.sensor3}" - -class ProcessedSensorData(models.Model): - created_at = models.DateTimeField() - entry_id = models.IntegerField() - temperature = models.FloatField() - humidity = models.FloatField() - light_index = models.FloatField() - atmosphere = models.FloatField() - voltage = models.FloatField() - was_interpolated = models.BooleanField() - - def __str__(self): - return f"{self.created_at} | Temp: {self.temperature}" \ No newline at end of file diff --git a/backend/iot_backend/timeseries/serializers.py b/backend/iot_backend/timeseries/serializers.py deleted file mode 100644 index 0637ba6..0000000 --- a/backend/iot_backend/timeseries/serializers.py +++ /dev/null @@ -1,12 +0,0 @@ -from rest_framework import serializers -from .models import TimeSeriesData, ProcessedSensorData - -class TimeSeriesDataSerializer(serializers.ModelSerializer): - class Meta: - model = TimeSeriesData - fields = '__all__' - -class ProcessedSensorDataSerializer(serializers.ModelSerializer): - class Meta: - model = ProcessedSensorData - fields = '__all__' diff --git a/backend/iot_backend/timeseries/tests.py b/backend/iot_backend/timeseries/tests.py deleted file mode 100644 index 7ce503c..0000000 --- a/backend/iot_backend/timeseries/tests.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.test import TestCase - -# Create your tests here. diff --git a/backend/iot_backend/timeseries/urls.py b/backend/iot_backend/timeseries/urls.py deleted file mode 100644 index d24757b..0000000 --- a/backend/iot_backend/timeseries/urls.py +++ /dev/null @@ -1,11 +0,0 @@ -from django.urls import path, include -from rest_framework.routers import DefaultRouter -from .views import TimeSeriesDataViewSet , ProcessedSensorDataViewSet - -router = DefaultRouter() -router.register(r'data', TimeSeriesDataViewSet, basename='timeseries') -router.register(r'processed', ProcessedSensorDataViewSet) - -urlpatterns = [ - path('', include(router.urls)), -] diff --git a/backend/iot_backend/timeseries/views.py b/backend/iot_backend/timeseries/views.py deleted file mode 100644 index ffa95d0..0000000 --- a/backend/iot_backend/timeseries/views.py +++ /dev/null @@ -1,11 +0,0 @@ -from rest_framework import viewsets -from .models import TimeSeriesData, ProcessedSensorData -from .serializers import TimeSeriesDataSerializer, ProcessedSensorDataSerializer - -class TimeSeriesDataViewSet(viewsets.ModelViewSet): - queryset = TimeSeriesData.objects.all().order_by('timestamp') # sort by time - serializer_class = TimeSeriesDataSerializer - -class ProcessedSensorDataViewSet(viewsets.ReadOnlyModelViewSet): - queryset = ProcessedSensorData.objects.all().order_by('created_at') - serializer_class = ProcessedSensorDataSerializer diff --git a/correlation_study/complex.csv b/correlation_study/complex.csv index c76b6d4..bd120b3 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-.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? diff --git a/frontend/Dockerfile b/frontend/Dockerfile deleted file mode 100644 index 0281ab7..0000000 --- a/frontend/Dockerfile +++ /dev/null @@ -1,29 +0,0 @@ -# Step 1: Use an official Node.js image as the base image -FROM node:16 AS build - -# Step 2: Set the working directory inside the container -WORKDIR /app - -# Step 3: Copy package.json and package-lock.json (or yarn.lock) into the container -COPY package*.json ./ - -# Step 4: Install dependencies -RUN npm install - -# Step 5: Copy the entire project into the container -COPY . . - -# Step 6: Build the React app for production -RUN npm run build - -# Step 7: Use a lighter web server to serve the built files -FROM nginx:alpine - -# Step 8: Copy the build output to the Nginx public folder -COPY --from=build /app/build /usr/share/nginx/html - -# Step 9: Expose the port that the container will use -EXPOSE 80 - -# Step 10: Start Nginx to serve the frontend app -CMD ["nginx", "-g", "daemon off;"] diff --git a/frontend/README.md b/frontend/README.md deleted file mode 100644 index fd3b758..0000000 --- a/frontend/README.md +++ /dev/null @@ -1,12 +0,0 @@ -# React + Vite - -This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. - -Currently, two official plugins are available: - -- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast Refresh -- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh - -## Expanding the ESLint configuration - -If you are developing a production application, we recommend using TypeScript and enable type-aware lint rules. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project. diff --git a/frontend/docs/Collaborating with GitHub for Frontend Projects (1).pptx b/frontend/docs/Collaborating with GitHub for Frontend Projects (1).pptx deleted file mode 100644 index e35dcd6..0000000 Binary files a/frontend/docs/Collaborating with GitHub for Frontend Projects (1).pptx and /dev/null differ diff --git a/frontend/docs/wireframe.png b/frontend/docs/wireframe.png deleted file mode 100644 index e5ac286..0000000 Binary files a/frontend/docs/wireframe.png and /dev/null differ diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js deleted file mode 100644 index ec2b712..0000000 --- a/frontend/eslint.config.js +++ /dev/null @@ -1,33 +0,0 @@ -import js from '@eslint/js' -import globals from 'globals' -import reactHooks from 'eslint-plugin-react-hooks' -import reactRefresh from 'eslint-plugin-react-refresh' - -export default [ - { ignores: ['dist'] }, - { - files: ['**/*.{js,jsx}'], - languageOptions: { - ecmaVersion: 2020, - globals: globals.browser, - parserOptions: { - ecmaVersion: 'latest', - ecmaFeatures: { jsx: true }, - sourceType: 'module', - }, - }, - plugins: { - 'react-hooks': reactHooks, - 'react-refresh': reactRefresh, - }, - rules: { - ...js.configs.recommended.rules, - ...reactHooks.configs.recommended.rules, - 'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }], - 'react-refresh/only-export-components': [ - 'warn', - { allowConstantExport: true }, - ], - }, - }, -] diff --git a/frontend/index.html b/frontend/index.html deleted file mode 100644 index 7753d5e..0000000 --- a/frontend/index.html +++ /dev/null @@ -1,13 +0,0 @@ - - - - - - - IOT Data Management System - - -
- - - diff --git a/frontend/package-lock.json b/frontend/package-lock.json deleted file mode 100644 index 79d524d..0000000 --- a/frontend/package-lock.json +++ /dev/null @@ -1,4449 +0,0 @@ -{ - "name": "frontend", - "version": "0.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "frontend", - "version": "0.0.0", - "dependencies": { - "@emotion/react": "^11.14.0", - "@emotion/styled": "^11.14.0", - "@mui/material": "^7.1.0", - "axios": "^1.8.4", - "chart.js": "^4.4.8", - "html2canvas": "^1.4.1", - "jspdf": "^3.0.1", - "lucide-react": "^0.510.0", - "react": "^19.0.0", - "react-chartjs-2": "^5.3.0", - "react-dom": "^19.0.0", - "react-router-dom": "^7.4.1" - }, - "devDependencies": { - "@eslint/js": "^9.21.0", - "@types/react": "^19.0.10", - "@types/react-dom": "^19.0.4", - "@vitejs/plugin-react": "^4.3.4", - "eslint": "^9.21.0", - "eslint-plugin-react-hooks": "^5.1.0", - "eslint-plugin-react-refresh": "^0.4.19", - "globals": "^15.15.0", - "vite": "^6.2.5" - 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height: 45px; - padding: 10px 14px; - font-size: 1rem; - border: 1px solid #ccc; - border-radius: 8px; - box-sizing: border-box; - background-color: #fff; - line-height: 1.5; - appearance: none; - transition: all 0.2s ease; -} - -/* Hide number spinner */ -.input-field[type="number"]::-webkit-inner-spin-button, -.input-field[type="number"]::-webkit-outer-spin-button { - -webkit-appearance: none; - margin: 0; -} - -.input-field[type="number"] { - -moz-appearance: textfield; - appearance: textfield; -} - -/* Dropdown arrow */ -select.input-field { - background-image: url("data:image/svg+xml;utf8,"); - background-repeat: no-repeat; - background-position: right 12px center; - background-size: 12px; - padding-right: 30px; -} - -.input-field:focus-visible { - border-color: #339af0; - box-shadow: 0 0 0 2px rgba(51, 154, 240, 0.25); - outline: none; - -} - -.analyze-btn { - background-color: #decba4; - color: #1c2a38; - padding: 10px 20px; - font-size: 1rem; - border: none; - border-radius: 8px; - cursor: pointer; - transition: background-color 0.3s, transform 0.2s; - - margin-top: 10px; - - -} - -.analyze-btn:hover { - background-color: #7f8c8d; - color: white; - transform: scale(1.05); -} - - - -.action-row { - display: flex; - gap: 12px; - align-items: center; - margin-bottom: 12px; -} - - -.error-msg { - background-color: #ffe5e5; - color: #b30000; - border: 1px solid #ffcccc; - padding: 12px; - border-radius: 8px; - margin-top: 15px; - font-weight: 500; - text-align: center; -} - -.result-section { - margin-top: 20px; - background: #f0f0f0; - padding: 10px; - border-radius: 10px; -} - -.graph-section { - background-color: #ffffff; - padding: 20px; - border-radius: 10px; - margin-top: 20px; - box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1); - text-align: center; -} - -.graph-header { - display: flex; - justify-content: space-between; - align-items: center; - margin-bottom: 12px; -} - -.live-badge { - background-color: #20c997; - color: white; - - font-size: 0.8rem; - padding: 4px 10px; - border-radius: 12px; - font-weight: 600; - - font-size: 0.85rem; - padding: 6px 12px; - border-radius: 12px; - font-weight: 600; - white-space: nowrap; - -} - -canvas { - border-radius: 8px; - box-shadow: 0 1px 4px rgba(0, 0, 0, 0.08); - - -} - -/* Filter Dropdown Panel */ -.filter-menu { - margin-top: 10px; - display: flex; - flex-direction: column; - gap: 12px; - background: #f9fbff; - padding: 16px; - border-radius: 8px; - box-shadow: 0 2px 6px rgba(0, 0, 0, 0.08); - -} - - \ No newline at end of file diff --git a/frontend/src/AnalyzePanel.jsx b/frontend/src/AnalyzePanel.jsx deleted file mode 100644 index 4c26d59..0000000 --- a/frontend/src/AnalyzePanel.jsx +++ /dev/null @@ -1,522 +0,0 @@ -import React, { useState, useRef } from "react"; -import axios from "axios"; -import RealTimeGraph from "./RealTimeGraph"; -import html2canvas from "html2canvas"; -import { jsPDF } from "jspdf"; -import "./AnalyzePanel.css"; -import { - Box, - Typography, - Checkbox, - FormControlLabel, - FormGroup, - TextField, - Button, - Select, - MenuItem, - FormControl, - InputLabel, - Paper, - useTheme, - Stack, -} from "@mui/material"; - -const AnalyzePanel = () => { - const [selectedStreams, setSelectedStreams] = useState([]); - const [startTime, setStartTime] = useState(""); - const [endTime, setEndTime] = useState(""); - const [expectedCorrelation, setExpectedCorrelation] = useState(""); - const [exportType, setExportType] = useState("CSV"); - const graphRef = useRef(null); - - const [result, setResult] = useState(null); - const [error, setError] = useState(""); - - const sampleData = [ - { - Time: "08:00", - "Sensor 1": 21.5, - "Sensor 2": 45.2, - "Sensor 3": 10.7, - "Sensor 4": 33.1, - "Sensor 5": 67.8, - }, - { - Time: "09:00", - "Sensor 1": 22.1, - "Sensor 2": 44.8, - "Sensor 3": 11.2, - "Sensor 4": 34.5, - "Sensor 5": 66.3, - }, - { - Time: "10:00", - "Sensor 1": 23.4, - "Sensor 2": 46.1, - "Sensor 3": 12.5, - "Sensor 4": 35.2, - "Sensor 5": 65.9, - }, - { - Time: "11:00", - "Sensor 1": 24.2, - "Sensor 2": 45.7, - "Sensor 3": 11.9, - "Sensor 4": 36.7, - "Sensor 5": 68.2, - }, - { - Time: "12:00", - "Sensor 1": 25.0, - "Sensor 2": 47.3, - "Sensor 3": 12.1, - "Sensor 4": 35.9, - "Sensor 5": 70.1, - }, - ]; - - const [timeRange, setTimeRange] = useState(""); - const [sensorFilter, setSensorFilter] = useState(""); - const [valueThreshold, setValueThreshold] = useState(""); - const [showFilters, setShowFilters] = useState(false); - - const availableStreams = [ - "Sensor 1", - "Sensor 2", - "Sensor 3", - "Sensor 4", - "Sensor 5", - ]; - - const handleStreamChange = (stream) => { - setSelectedStreams((prev) => - prev.includes(stream) - ? prev.filter((s) => s !== stream) - : [...prev, stream] - ); - }; - - const handleAnalyze = async () => { - if ( - selectedStreams.length < 3 || - !startTime || - !endTime || - !expectedCorrelation - ) { - setError("Please select 3 streams and fill all fields."); - return; - } - - setError(""); - - try { - const response = await axios.post("http://localhost:5000/api/analyze", { - streams: selectedStreams, - start: startTime, - end: endTime, - expectedCorrelation: parseFloat(expectedCorrelation), - }); - setResult(data); - } catch (err) { - console.error(err); - alert("Analysis failed – check backend/network."); - } - }; - - const exportAll = async () => { - if (!result) { - alert("Run an analysis first."); - return; - } - - try { - if (!Array.isArray(result.data)) { - alert("Unexpected data format for CSV export."); - return; - } - - const csv = Papa.unparse(result.data); - saveAs( - new Blob([csv], { type: "text/csv;charset=utf-8;" }), - "analysis.csv" - ); - - const canvas = await html2canvas(graphRef.current); - - await new Promise((res) => - canvas.toBlob((b) => { - saveAs(b, "analysis.png"); - res(); - }) - ); - - const pdf = new jsPDF({ - orientation: "landscape", - unit: "px", - format: [canvas.width, canvas.height], - }); - pdf.addImage(canvas.toDataURL("image/png"), "PNG", 0, 0); - pdf.save("analysis.pdf"); - } catch (err) { - console.error("Error during analysis:", err); - setError("Analysis failed. Check backend or network."); - } - }; - - const getFilteredData = () => { - if (selectedStreams.length === 0) return sampleData; - - return sampleData.map((row) => { - const filteredRow = { Time: row.Time }; - selectedStreams.forEach((stream) => { - filteredRow[stream] = row[stream]; - }); - return filteredRow; - }); - }; - - const exportToCSV = () => { - const filteredData = getFilteredData(); - - const headers = Object.keys(filteredData[0]); - - let csvContent = headers.join(",") + "\n"; - - filteredData.forEach((row) => { - const rowValues = headers.map((header) => { - const value = row[header]; - // Handle values that might need quotes (like strings with commas) - const cellValue = - value !== null && value !== undefined ? String(value) : ""; - return cellValue.includes(",") ? `"${cellValue}"` : cellValue; - }); - csvContent += rowValues.join(",") + "\n"; - }); - - const blob = new Blob([csvContent], { type: "text/csv;charset=utf-8;" }); - const link = document.createElement("a"); - const url = URL.createObjectURL(blob); - - link.setAttribute("href", url); - link.setAttribute("download", "sensor-data.csv"); - link.style.visibility = "hidden"; - - document.body.appendChild(link); - link.click(); - document.body.removeChild(link); - }; - - const handleExport = () => { - switch (exportType) { - case "CSV": - exportToCSV(); - break; - case "PDF": - exportToPDF(); - break; - case "PNG": - exportToPNG(); - break; - default: - break; - } - }; - - const exportToPDF = () => { - if (!graphRef.current) return; - - const doc = new jsPDF("landscape", "mm", "a4"); - const pageWidth = doc.internal.pageSize.getWidth(); - - doc.setFontSize(16); - doc.text("Sensor Correlation Analysis", pageWidth / 2, 20, { - align: "center", - }); - - html2canvas(graphRef.current).then((canvas) => { - const imgData = canvas.toDataURL("image/png"); - const imgWidth = pageWidth - 40; - const imgHeight = (canvas.height * imgWidth) / canvas.width; - - doc.addImage(imgData, "PNG", 20, 30, imgWidth, imgHeight); - - const filteredData = getFilteredData(); - const startY = imgHeight + 40; - - doc.setFontSize(12); - let yPos = startY; - let xPos = 20; - - const headers = Object.keys(filteredData[0]); - headers.forEach((header) => { - doc.text(header, xPos, yPos); - xPos += 40; - }); - filteredData.slice(0, 5).forEach((row, rowIndex) => { - yPos += 10; - xPos = 20; - - headers.forEach((header) => { - doc.text(String(row[header]), xPos, yPos); - xPos += 40; - }); - }); - doc.save("sensor-analysis.pdf"); - }); - }; - - const exportToPNG = () => { - if (!graphRef.current) return; - - html2canvas(graphRef.current).then((canvas) => { - const link = document.createElement("a"); - link.download = "sensor-graph.png"; - link.href = canvas.toDataURL("image/png"); - link.click(); - }); - }; - - const theme = useTheme(); - return ( - <> - - {" "} - Analyze Sensor Correlation - - - - Select 3 Streams: - - {availableStreams.map((stream) => ( - handleStreamChange(stream)} - color="default" - sx={{ - color: theme.palette.text.primary, - "&.Mui-checked": { - color: theme.palette.text.primary, - }, - }} - /> - } - label={stream} - /> - ))} - - - -
-
- - setStartTime(e.target.value)} - className="input-field" - style={{ width: "100%" }} - /> -
- -
- - setEndTime(e.target.value)} - className="input-field" - /> -
-
- - - setExpectedCorrelation(e.target.value)} - className="input-field" - /> - - - - - - - Export - - - - - - - {error && ( - - {error} - - )} - - - {/* Header */} - - 📈 Real-Time Data Graph - 🟢 Live Stream - - - {/* Button Actions */} - - - - - - {/* Filters */} - {showFilters && ( - - - Time Range - - - - - Sensor Type - - - - - Value Range - - - - )} - - {/* Graphs Side-by-Side */} - - {/* Real-Time Graph */} - - - 📡 Raw Stream - - - - - {/* Filtered Graph */} - - - 📈 Filtered Stream {sensorFilter ? `for ${sensorFilter}` : ""} - -
- -
-
-
-
- - ); -}; - -export default AnalyzePanel; diff --git a/frontend/src/App.css b/frontend/src/App.css deleted file mode 100644 index 1df1779..0000000 --- a/frontend/src/App.css +++ /dev/null @@ -1,261 +0,0 @@ -/* Default Styles */ -body { - font-family: 'Arial', sans-serif; - transition: background-color 0.3s, color 0.3s; -} - -/* Light Mode Styles */ -body.light-mode { - background-color: #f4f7f9; - color: #333; -} - -body.light-mode .top-nav { - background-color: #ffffff; - color: #333; - border-bottom: 1px solid #ddd; - font-family: 'Roboto', sans-serif; /* New font for nav bar */ - font-weight: 500; - letter-spacing: 1px; /* Adds space between characters */ - text-transform: uppercase; /* Makes the nav text uppercase */ -} - -body.light-mode .theme-toggle-btn { - background-color: #4caf50; - color: white; -} - -/* Dark Mode Styles */ -body.dark-mode { - - color: #ffffff; -} - -body.dark-mode .top-nav { - background-color: #4e5d6d; - color: white; - border-bottom: 1px solid #444; - font-family: 'Roboto', sans-serif; - font-weight: 500; - letter-spacing: 1px; - text-transform: uppercase; -} - -body.dark-mode .theme-toggle-btn { - background-color: #2E3B47; - color: white; -} - -/* Top Navigation Bar */ -.top-nav { - background-color: #ffffff; - color: #333; - padding: 1rem; - display: flex; - justify-content: center; - align-items: center; - transition: background-color 0.3s, color 0.3s; - font-family: 'Roboto', sans-serif; /* Stylish font for nav */ - font-weight: 500; /* Slightly bolder text */ - letter-spacing: 1px; /* Adds space between characters */ - text-transform: uppercase; /* Uppercase text for the navigation */ -} - -.top-nav .nav-links { - display: flex; - justify-content: space-around; - width: 100%; -} - -.top-nav .nav-links a { - color: #333; - text-decoration: none; - padding: 0.5rem 1rem; - transition: color 0.3s, background-color 0.3s; - font-family: 'Roboto', sans-serif; /* New font for links */ - font-weight: 400; - letter-spacing: 1px; -} - -.top-nav .nav-links a:hover { - color: #fff; - background-color: #DECBA4; -} - -/* Other Styles (Remaining Unchanged) */ -.get-started-btn { - background-color: #DECBA4; - color: #1C2A38; - padding: 0.8rem 1.5rem; - font-size: 1.2rem; - border: none; - border-radius: 5px; - cursor: pointer; - transition: background-color 0.3s, transform 0.3s; - margin-top: 2rem; -} - -.get-started-btn:hover { - background-color: #7f8c8d; - color: white; - transform: scale(1.05); -} - -/* Main Content */ -.content { - flex-grow: 1; - padding: 3rem 1.5rem; -} - -#home { - text-align: center; - padding: 3rem 0 5rem; -} - -#home h1 { - font-size: 2.5rem; - color: #DECBA4; -} - -#home p { - font-size: 1.2rem; - color: #6c757d; -} - -/* Features Section */ -.features { - margin-top: 3rem; -} - -.features h2 { - text-align: center; - font-size: 2rem; - margin-bottom: 2rem; - color: #DECBA4; -} - -.card-container { - display: flex; - flex-wrap: wrap; - justify-content: space-around; -} - -.card { - background-color: #2E3B47; - padding: 2rem; - width: 250px; - margin: 1rem; - border-radius: 10px; - box-shadow: 0 2px 10px rgba(0, 0, 0, 0.3); - transition: transform 0.3s, background-color 0.3s; -} - -.card:hover { - transform: scale(1.05); - background-color: #1C2A38; -} - -.card h3 { - font-size: 1.5rem; - color: #DECBA4; -} - -.card p { - font-size: 1rem; - color: #f8f9fa; -} - -/* Data Selection Section */ -.data-selection { - margin-top: 3rem; - text-align: center; -} - -.data-selection h2 { - font-size: 2rem; - color: #DECBA4; -} - -select { - padding: 1rem; - font-size: 1rem; - margin: 0.5rem; - border-radius: 5px; - border: 1px solid #ccc; - width: 200px; - background-color: #ffffff; - color: #333; -} - -button { - background-color: #DECBA4; - color: #1C2A38; - padding: 1rem 2rem; - font-size: 1.2rem; - border: none; - border-radius: 5px; - cursor: pointer; - transition: background-color 0.3s; - margin: 0.5rem; - display: inline-block; - width: auto; -} - -button:hover { - background-color: #7f8c8d; - color: white; -} - -.upload-file-btn { - margin-top: 1rem; - margin-bottom: 1.5rem; -} - -.file-upload-input { - margin-top: 1rem; - padding: 1rem; - border-radius: 5px; - border: 1px solid #ccc; - width: 200px; - background-color: #ffffff; - color: #333; -} - -.file-upload-input:hover { - background-color: #f1f1f1; -} - -.data-selection .data-selection input[type="file"] { - margin-top: 1rem; - padding: 0.8rem; -} - -footer { - background-color: #2E3B47; - color: white; - text-align: center; - padding: 1rem; - font-size: 1rem; - margin-top: 3rem; - position: absolute; - width: 100%; -} - -.submit-btn, -.upload-file-btn, -.export-btn { - padding: 1rem 2rem; - font-size: 1.2rem; - margin-top: 1rem; - margin-bottom: 1rem; - display: inline-block; - width: auto; -} - -.submit-btn:hover, -.upload-file-btn:hover, -.export-btn:hover { - background-color: #7f8c8d; - color: white; - transform: scale(1.05); -} \ No newline at end of file diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx deleted file mode 100644 index 755d9e5..0000000 --- a/frontend/src/App.jsx +++ /dev/null @@ -1,61 +0,0 @@ -import { useState, useEffect } from "react"; -import "./App.css"; -import { Route, Routes, useLocation } from "react-router-dom"; -import Header from "./Header"; -import Home from "./Home"; -import Footer from "./Footer"; -import Login from "./Login"; -import Register from "./Register.jsx"; -import AnalyzePanel from "./AnalyzePanel"; // ✅ Import the AnalyzePanel component -import { CssBaseline, ThemeProvider } from "@mui/material"; -import { darkTheme, lightTheme } from "./utils/theme.jsx"; - -function App() { - const [isDarkMode, setIsDarkMode] = useState(false); // State for dark mode - const location = useLocation(); - useEffect(() => { - // Get the theme from localStorage on load and set the state accordingly - const savedTheme = localStorage.getItem("theme"); - if (savedTheme) { - setIsDarkMode(savedTheme === "dark"); - } - }, []); - - useEffect(() => { - // Whenever the theme changes, save the theme to localStorage - if (isDarkMode) { - document.body.classList.add("dark-mode"); - document.body.classList.remove("light-mode"); - localStorage.setItem("theme", "dark"); - } else { - document.body.classList.add("light-mode"); - document.body.classList.remove("dark-mode"); - localStorage.setItem("theme", "light"); - } - }, [isDarkMode]); - - const toggleTheme = () => { - setIsDarkMode(!isDarkMode); // Toggle dark mode - }; - - const hideLayout = ["/login", "/register"].includes(location.pathname); - return ( - - - {!hideLayout && ( -
- )} - {/* Navigation includes link */} - - } /> - } /> - } /> - } />{" "} - {/* ✅ New Analyze route */} - - {!hideLayout &&