feat: added chatgpt plugin layer

.gitignore

@@ -1,3 +1,2 @@
 node_modules
-.env
-static
+.env

src/index.ts

@@ -4,11 +4,21 @@ import routes from './routes';
 
 const app = express();
 
+app.use((req, res, next) => {
+    res.setHeader('Access-Control-Allow-Origin', 'https://chat.openai.com');
+    res.setHeader('Access-Control-Allow-Methods', 'GET, POST, OPTIONS, PUT, PATCH, DELETE');
+    res.setHeader('Access-Control-Allow-Headers', '*');
+    next();
+});
+
 app.use(express.json());
 
 routes.forEach(route => {
     app[route.method](route.path, ...route.middlewares, route.handler)
-})
+});
+
+app.use(express.static('static'));
+
 
 app.listen(env.PORT, () => {
     console.log(`Server running on port ${env.PORT}`);

src/routes/v2/resolvers.ts

@@ -4,8 +4,6 @@ import { parseCSV } from "../../utils";
 import { v4 as uuidv4 } from 'uuid';
 
 const availablePlatforms = [
-    "shopify",
-    "amazon",
     "ciceksepeti",
     "hepsiburada",
     "trendyol"
@@ -15,14 +13,14 @@ export const queryCategory = async (req: Request, res: Response) => {
     if (availablePlatforms.includes(req.params.platform) === false) {
         return res.status(400).json({
             success: false, data: null,
-            error: 'The given platform is not available. Available platforms' + availablePlatforms.join(', ')
+            error: 'The given platform is not available. Available platforms ' + availablePlatforms.join(', ')
         })
     }
-    if (!req.body.input) {
+    if (!req.query.input && !req.body.input) {
         return res.status(400).json({ success: false, data: null, error: 'Input data is required' })
     }
-    const { platform } = req.params;
-    const { input, deepSearch } = req.body;
+    const { platform } = req.params ;
+    const { input, deepSearch } = req.body.input ? req.body : req.query;
     const response = await searchInVectors(platform, input);
 
     if (deepSearch === "true") {

static/.well-known/ai-plugin.json

@@ -0,0 +1,16 @@
+{
+    "schema_version": "v1",
+    "name_for_human": "Category Taxonomy",
+    "name_for_model": "category_taxonomy",
+    "description_for_human": "Plugin to classify products into categories of well-known e-commerce platforms.",
+    "description_for_model": "Plugin to classify products into categories of well-known e-commerce platforms.",
+    "auth": { "type": "none" },
+    "api": {
+        "type": "openapi",
+        "url": "http://localhost:6006/openapi.yaml",
+        "is_user_authenticated": false
+    },
+    "logo_url": "http://localhost:6006/logo.png",
+    "contact_email": "[email protected]",
+    "legal_info_url": "http://localhost:6006/legal"
+}

static/openapi.yaml

@@ -0,0 +1,38 @@
+openapi: 3.0.1
+info:
+  title: Category Prediction API
+  version: '1.0'
+servers:
+  - url: 'http://localhost:6006'
+paths:
+  /v2/category/predict/{platform}:
+    post:
+      summary: Predict the category for a given platform
+      operationId: predictCategory
+      parameters:
+        - name: platform
+          in: path
+          description: The name of the platform to make a prediction for
+          required: true
+          schema:
+            type: string
+            enum: [trendyol, hepsiburada, ciceksepeti]
+        - name: input
+          in: query
+          description: The name of the product
+          required: true
+          schema:
+            type: string
+        - name: deepSearch
+          in: query
+          description: Flag to indicate whether a deep search should be performed or not
+          required: true
+          schema:
+            type: boolean
+      responses:
+        '200':
+          description: Successful operation
+        '400':
+          description: Bad request. User input is invalid.
+        '500':
+          description: Internal server error.