source

Author: 0PeterAdel

DOCS.md

@@ -108,6 +108,45 @@ The `benchmark.js` script measures API response times. To run it:
 node benchmark.js
 ```
 
+## Integration Tests
+To run the end-to-end integration tests:
+1. Ensure the server is running locally.
+2. Run the following command:
+   ```bash
+   npm test
+   ```
+3. The tests will simulate the workflow of file upload, preview, processing, and result retrieval.
+
+## User Acceptance Testing (UAT)
+Refer to the `UAT_GUIDELINES.md` file for detailed instructions on UAT scenarios and feedback collection.
+
+## Performance Monitoring
+To run the performance monitoring script:
+1. Ensure the server is running locally.
+2. Execute the script:
+   ```bash
+   node monitor.js
+   ```
+3. The script will generate a `performance_report.json` file with response times, memory usage, and CPU load.
+
+## Continuous Improvement Plan
+### Key Performance Indicators (KPIs)
+- Average response time for API endpoints.
+- Memory usage and CPU load under typical and peak loads.
+- Error rates and user feedback scores.
+
+### Alert Mechanisms
+- Integrate email alerts using SendGrid for high error rates.
+- Use Slack notifications for critical performance issues.
+
+### Log Analysis
+- Regularly analyze logs for error patterns and performance bottlenecks.
+- Use tools like ELK Stack or Datadog for advanced log analysis.
+
+### Feedback Loop
+- Collect user feedback via integrated forms and surveys.
+- Prioritize enhancements based on feedback and performance metrics.
+
 ## Future Extensions and Scalability
 ### Roadmap
 - **Advanced AI Modules**: Integrate machine learning models for data analysis.

UAT_GUIDELINES.md

@@ -0,0 +1,64 @@
+# User Acceptance Testing (UAT) Guidelines
+
+## Purpose
+The purpose of this document is to outline the User Acceptance Testing (UAT) process for the Data-Verse project. This ensures that the application meets the requirements and expectations of end-users.
+
+## Key Functionalities to Test
+1. **File Upload**
+   - Verify that users can upload files successfully.
+   - Ensure error messages are displayed for unsupported file formats.
+
+2. **Data Preview**
+   - Validate that uploaded data is displayed correctly in the preview.
+   - Check for responsiveness and usability of the preview interface.
+
+3. **Processing Pipeline**
+   - Confirm that the processing pipeline can be triggered without errors.
+   - Ensure that users receive notifications about the processing status.
+
+4. **Results Retrieval**
+   - Verify that processed results are accurate and displayed correctly.
+   - Test the interactivity and responsiveness of the results dashboard.
+
+## Test Scenarios
+### Scenario 1: Successful File Upload
+- **Steps:**
+  1. Navigate to the upload page.
+  2. Select a valid file and click upload.
+- **Expected Result:**
+  - File is uploaded successfully, and metadata is displayed.
+
+### Scenario 2: Invalid File Upload
+- **Steps:**
+  1. Navigate to the upload page.
+  2. Select an invalid file format and click upload.
+- **Expected Result:**
+  - An error message is displayed.
+
+### Scenario 3: Data Preview
+- **Steps:**
+  1. Upload a valid file.
+  2. Navigate to the preview page.
+- **Expected Result:**
+  - Data is displayed in a tabular format.
+
+### Scenario 4: Processing Pipeline
+- **Steps:**
+  1. Upload a valid file.
+  2. Trigger the processing pipeline.
+- **Expected Result:**
+  - A job ID is returned, and the processing status is updated.
+
+### Scenario 5: Results Retrieval
+- **Steps:**
+  1. Trigger the processing pipeline.
+  2. Navigate to the results page.
+- **Expected Result:**
+  - Processed results are displayed accurately.
+
+## Feedback Collection
+- Integrate a feedback form on the results page.
+- Provide a link to a survey for detailed feedback.
+
+## Reporting Issues
+- Users can report issues via the feedback form or by emailing support@dataverse.com.

__tests__/e2e.test.js

@@ -0,0 +1,41 @@
+const request = require('supertest');
+const app = require('../server'); // Assuming server.js exports the app
+
+describe('End-to-End Integration Tests', () => {
+  let uploadedFileId;
+
+  it('should upload a file successfully', async () => {
+    const response = await request(app)
+      .post('/api/upload')
+      .attach('file', '__tests__/testFile.csv');
+
+    expect(response.status).toBe(200);
+    expect(response.body).toHaveProperty('fileId');
+    uploadedFileId = response.body.fileId;
+  });
+
+  it('should preview the uploaded data', async () => {
+    const response = await request(app)
+      .get(`/api/preview?fileId=${uploadedFileId}`);
+
+    expect(response.status).toBe(200);
+    expect(response.body).toHaveProperty('previewData');
+  });
+
+  it('should trigger the processing pipeline', async () => {
+    const response = await request(app)
+      .post('/api/process')
+      .send({ fileId: uploadedFileId });
+
+    expect(response.status).toBe(200);
+    expect(response.body).toHaveProperty('jobId');
+  });
+
+  it('should retrieve the processed results', async () => {
+    const response = await request(app)
+      .get(`/api/results?fileId=${uploadedFileId}`);
+
+    expect(response.status).toBe(200);
+    expect(response.body).toHaveProperty('results');
+  });
+});

monitor.js

@@ -0,0 +1,44 @@
+const axios = require('axios');
+const os = require('os');
+const fs = require('fs');
+
+const endpoints = [
+  { name: 'Upload', url: 'http://localhost:5000/api/upload', method: 'POST' },
+  { name: 'Preview', url: 'http://localhost:5000/api/preview', method: 'GET' },
+  { name: 'Process', url: 'http://localhost:5000/api/process', method: 'POST' },
+  { name: 'Results', url: 'http://localhost:5000/api/results', method: 'GET' },
+];
+
+async function monitorPerformance() {
+  const results = [];
+
+  for (const endpoint of endpoints) {
+    const startTime = Date.now();
+    try {
+      if (endpoint.method === 'POST') {
+        await axios.post(endpoint.url, {}); // Add payload if needed
+      } else {
+        await axios.get(endpoint.url);
+      }
+      const duration = Date.now() - startTime;
+      results.push({ endpoint: endpoint.name, status: 'Success', responseTime: duration });
+    } catch (error) {
+      results.push({ endpoint: endpoint.name, status: 'Error', error: error.message });
+    }
+  }
+
+  const memoryUsage = process.memoryUsage();
+  const cpuLoad = os.loadavg();
+
+  const report = {
+    timestamp: new Date().toISOString(),
+    results,
+    memoryUsage,
+    cpuLoad,
+  };
+
+  fs.writeFileSync('performance_report.json', JSON.stringify(report, null, 2));
+  console.log('Performance report generated:', report);
+}
+
+monitorPerformance();

src/pages/Analysis.tsx

@@ -1,8 +1,7 @@
-import { useState, useEffect } from 'react';
+import { useState } from 'react';
 import { motion, AnimatePresence } from 'framer-motion';
 import { BarChart2, LineChart, PieChart, TrendingUp, Settings2, Download, Wand2, Brain, Share2, RefreshCw } from 'lucide-react';
 import Plot from 'react-plotly.js';
-import { previewData, startProcess, getResults } from '../apiService';
 
 const CHART_TYPES = [
   { id: 'bar', name: 'Bar Chart', icon: BarChart2, description: 'Compare values across categories' },
@@ -15,39 +14,44 @@ export default function Analysis() {
   const [selectedChart, setSelectedChart] = useState('bar');
   const [loading, setLoading] = useState(false);
   const [isSettingsOpen, setIsSettingsOpen] = useState(false);
-  const [data, setData] = useState(null);
-  const [error, setError] = useState(null);
 
-  useEffect(() => {
-    const fetchData = async () => {
-      try {
-        setLoading(true);
-        const preview = await previewData();
-        console.log('Preview data:', preview); // Debugging log
-        setData(preview);
-      } catch (err) {
-        console.error('Error fetching preview data:', err); // Debugging log
-        setError('Failed to load data preview.');
-      } finally {
-        setLoading(false);
-      }
-    };
-
-    fetchData();
-  }, []);
-
-  const handleProcess = async () => {
-    try {
-      setLoading(true);
-      const token = localStorage.getItem('token'); // Retrieve token from local storage
-      const processResponse = await startProcess(token);
-      const results = await getResults(processResponse.jobId, token);
-      setData(results);
-    } catch (err) {
-      setError('Failed to process data.');
-    } finally {
-      setLoading(false);
-    }
+  // Mock data for demonstration
+  const data = {
+    bar: {
+      x: ['Category A', 'Category B', 'Category C', 'Category D'],
+      y: [32, 64, 45, 78],
+      type: 'bar',
+      marker: {
+        color: 'rgb(99, 102, 241)',
+        opacity: 0.8,
+      },
+    },
+    line: {
+      x: [1, 2, 3, 4, 5],
+      y: [2, 5, 3, 8, 4],
+      type: 'scatter',
+      mode: 'lines+markers',
+      marker: { color: 'rgb(99, 102, 241)' },
+      line: { width: 3 },
+    },
+    pie: {
+      values: [35, 25, 20, 20],
+      labels: ['Product A', 'Product B', 'Product C', 'Product D'],
+      type: 'pie',
+      marker: {
+        colors: ['rgb(99, 102, 241)', 'rgb(129, 140, 248)', 'rgb(165, 180, 252)', 'rgb(199, 210, 254)'],
+      },
+    },
+    scatter: {
+      x: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+      y: [2, 4, 3, 5, 4, 7, 6, 8, 7, 9],
+      mode: 'markers',
+      type: 'scatter',
+      marker: { 
+        color: 'rgb(99, 102, 241)',
+        size: 10,
+      },
+    },
   };
 
   const handleExport = () => {
@@ -57,20 +61,6 @@ export default function Analysis() {
 
   return (
     <div className="space-y-6">
-      {error && <div className="text-red-500">{error}</div>}
-      <button
-        onClick={handleProcess}
-        disabled={loading}
-        className="px-4 py-2 bg-blue-500 text-white rounded"
-      >
-        {loading ? 'Processing...' : 'Start Processing'}
-      </button>
-      {data && (
-        <div>
-          <h3>Data Preview:</h3>
-          <pre>{JSON.stringify(data, null, 2)}</pre>
-        </div>
-      )}
       <motion.div
         initial={{ opacity: 0, y: -20 }}
         animate={{ opacity: 1, y: 0 }}
@@ -167,7 +157,7 @@ export default function Analysis() {
           </div>
           <div className="h-[400px] w-full">
             <Plot
-              data={data && data[selectedChart] ? data[selectedChart] : []} // Fallback to an empty array
+              data={[data[selectedChart as keyof typeof data]]}
               layout={{
                 margin: { t: 20, r: 20, b: 40, l: 40 },
                 paper_bgcolor: 'rgba(0,0,0,0)',