Refactor bqexport.js to use environment variables for project IDs and bucket name; update object path to include dynamic company and application IDs. Modify index.js to export app for serverless functions and update package.json description and scripts for better clarity.

Dockerfile

@@ -0,0 +1,42 @@
+FROM node:18-alpine AS builder
+
+# Create app directory
+RUN mkdir -p /app
+WORKDIR /app
+
+# Copy package files first for better caching
+COPY package*.json ./
+
+# Install dependencies
+RUN npm ci --only=production
+
+# Copy source code
+COPY . .
+
+# Production stage
+FROM node:18-alpine
+
+# Create app directory
+RUN mkdir -p /app
+WORKDIR /app
+
+# Copy built application from builder stage
+COPY --from=builder /app .
+
+# Create non-root user for security
+RUN addgroup -g 1001 -S nodejs && \
+    adduser -S nodejs -u 1001
+
+# Change ownership of the app directory to nodejs user
+RUN chown -R nodejs:nodejs /app
+USER nodejs
+
+# Expose the port the app runs on
+EXPOSE 8080
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
+  CMD node -e "require('http').get('http://localhost:8080/', (res) => { process.exit(res.statusCode === 200 ? 0 : 1) })"
+
+# Start the application
+CMD ["npm", "start"]

bqexport.js

@@ -5,24 +5,26 @@ import { Storage } from '@google-cloud/storage';
 // - BigQuery data source: fynd-jio-commerceml-prod
 // - GCS destination: fynd-boltic-prod
 const bigquery = new BigQuery({
-  projectId: process.env.BIGQUERY_PROJECT || 'fynd-jio-commerceml-prod'
+  projectId: process.env.PROJECT_ID || 'fynd-jio-commerceml-prod'
 });
 const storage = new Storage({
-  projectId: process.env.STORAGE_PROJECT || 'fynd-jio-commerceml-prod',
+  projectId: process.env.PROJECT_ID || 'fynd-jio-commerceml-prod',
   credentials: {}
 });
 
 export const exportMergedJson = async (req, res) => {
   try {
+    const companyIdToDelete = req.body?.companyId;
+    const applicationIdToDelete = req.body?.applicationId;
+
     const datasetId = process.env.DATASET || "temp_zenith_data";
     const sourceTable = process.env.SOURCE_TABLE || "pr_training_data";
-    const bucketName = 'pr_dataset_storage';
-    const objectPath = '261/643e93f5ffc8101656a5629b/GET_ALL_PRODUCTS/catalog-*.json';
+    const bucketName = process.env.BUCKET_NAME || 'pr_dataset_storage';
+    const objectPath = `${companyIdToDelete}/${applicationIdToDelete}/GET_ALL_PRODUCTS/catalog-*.json`;
     const uri = `gs://${bucketName}/${objectPath}`;
 
     // Get deletion criteria from request body or environment
-    const companyIdToDelete = req.body?.companyId;
-    const applicationIdToDelete = req.body?.applicationId;
+
 
     // 1️⃣ Direct export from source table to GCS (cross-project)
     const sourceTablePath = `${bigquery.projectId}.${datasetId}.${sourceTable}`;

index.js

@@ -49,4 +49,8 @@ app.post('/export', async (req, res) => {
 const PORT = process.env.PORT || 8080;
 app.listen(PORT, () => {
     console.log(`Server is running on port ${PORT}`);
-});
+});
+
+// For serverless functions (like Google Cloud Functions)
+export default app;
+

package.json

@@ -2,11 +2,11 @@
   "type": "module",
   "name": "bq-exporter",
   "version": "1.0.0",
-  "description": "Express.js web server with dynamic greetings",
+  "description": "BigQuery export serverless function",
   "main": "index.js",
   "scripts": {
-    "start": "node index.js",
-    "dev": "nodemon index.js"
+    "start": "nodemon index.js",
+    "dev": "LOCAL_DEV=falsetrue nodemon index.js"
   },
   "engines": {
     "node": ">=18.0.0"