Initial commit: added frontend and backend

backend/controllers/analysisController.js

@@ -0,0 +1,56 @@
+const axios = require('axios');
+const FormData = require('form-data');
+
+exports.analyzeImage = async (req, res) => {
+  try {
+    if (!req.file) {
+      return res.status(400).json({ error: 'No image provided' });
+    }
+
+    // In a real scenario, we would forward this to the Perfect Corp API
+    // For now, we will return a mock response matching the expected structure
+    // or you could proxy it like this:
+    /*
+    const formData = new FormData();
+    formData.append('image', req.file.buffer, req.file.originalname);
+    
+    const response = await axios.post(process.env.PERFECT_CORP_API_URL, formData, {
+      headers: {
+        ...formData.getHeaders(),
+        'Authorization': `Bearer ${process.env.PERFECT_CORP_API_KEY}`
+      }
+    });
+    return res.json({ result: response.data });
+    */
+
+    // MOCK RESPONSE
+    console.log('Mocking perfect corp analysis for image:', req.file.originalname);
+    
+    const mockResult = {
+      results: [
+        {
+          data: [
+            {
+              url: 'https://example.com/mock-mask.zip'
+            }
+          ]
+        }
+      ],
+      // Add other mock data that the frontend expects to parse...
+      face_attributes: {
+        age: 30,
+        gender: 'female'
+      },
+      skin_issues: {
+        wrinkles: 10,
+        spots: 5,
+        acne: 2
+      }
+    };
+
+    res.json({ result: mockResult });
+  } catch (error) {
+    console.error('Error analyzing image:', error);
+    res.status(500).json({ error: 'Failed to analyze image' });
+  }
+};