Prod 1 1

.github/workflows/code-review.yml

@@ -225,12 +225,12 @@ jobs:
 
       - name: Build Docker image
         run: |
-          docker build -t angularai-app:${{ github.sha }} -f deploy/dev/Dockerfile .
+          docker build -t goodone-app:${{ github.sha }} -f deploy/dev/Dockerfile .
 
       - name: Run Trivy vulnerability scanner (Image)
         uses: aquasecurity/trivy-action@0.28.0
         with:
-          image-ref: 'angularai-app:${{ github.sha }}'
+          image-ref: 'goodone-app:${{ github.sha }}'
           format: 'table'
           exit-code: '1' # Fail the build if vulnerabilities are found
           ignore-unfixed: true
@@ -241,7 +241,7 @@ jobs:
       - name: Generate Trivy SARIF (Image)
         uses: aquasecurity/trivy-action@0.28.0
         with:
-          image-ref: 'angularai-app:${{ github.sha }}'
+          image-ref: 'goodone-app:${{ github.sha }}'
           format: 'sarif'
           output: 'trivy-image.sarif.json'
           ignore-unfixed: true
@@ -358,10 +358,10 @@ jobs:
           SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
 
       - name: Build Docker image for Snyk
-        run: docker build -t angularai-app:snyk .
+        run: docker build -t goodone-app:snyk .
 
       - name: Snyk Container Scan
-        run: snyk container test angularai-app:snyk --severity-threshold=high --sarif > snyk-container.sarif.json
+        run: snyk container test goodone-app:snyk --severity-threshold=high --sarif > snyk-container.sarif.json
         continue-on-error: true
         env:
           SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}

.github/workflows/deploy.yml

@@ -78,7 +78,7 @@ jobs:
       - name: Build, tag, and push image to Amazon ECR
         env:
           ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
-          ECR_REPOSITORY: angularai-app
+          ECR_REPOSITORY: goodone-app
           IMAGE_TAG: ${{ steps.vars.outputs.VERSION }}
           NVD_API_KEY: ${{ secrets.NVD_API_KEY }}
         run: |
@@ -97,14 +97,14 @@ jobs:
       - name: Update ECS service
         env:
           AWS_PAGER: ""
-          CLUSTER_NAME: angular-boot
-          SERVICE_NAME: angularai-backend-test-service
+          CLUSTER_NAME: goodone-cluster
+          SERVICE_NAME: goodone-backend-test-service
           TASK_DEF_FILE: deploy/aws/backend-test-task-definition.json
           VERSION: ${{ steps.vars.outputs.VERSION }}
           ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
         run: |
           # Read the task definition and update the image
-          NEW_TASK_DEF=$(cat $TASK_DEF_FILE | jq --arg IMAGE "$ECR_REGISTRY/angularai-app:$VERSION" '.containerDefinitions[0].image = $IMAGE')
+          NEW_TASK_DEF=$(cat $TASK_DEF_FILE | jq --arg IMAGE "$ECR_REGISTRY/goodone-app:$VERSION" '.containerDefinitions[0].image = $IMAGE')
 
           # Remove fields not allowed in register-task-definition
           FINAL_TASK_DEF=$(echo $NEW_TASK_DEF | jq 'del(.taskDefinitionArn, .revision, .status, .requiresAttributes, .compatibilities, .registeredAt, .registeredBy)')

.junie/frontend-style-guideline.md

@@ -1,6 +1,6 @@
 # Frontend Style Guideline
 
-This document defines the standard UI patterns and styles for the AngularAI project to ensure consistency across all pages. Junie must follow these guidelines for all UI-related changes.
+This document defines the standard UI patterns and styles for the GoodOne project to ensure consistency across all pages. Junie must follow these guidelines for all UI-related changes.
 
 ## 1. Core Principles
 - **Consistency**: Use the same components, spacing, and layouts across all pages.

.junie/guidelines.md

@@ -1,6 +1,6 @@
 # Development Guidelines
 
-This document outlines the best practices and standards for the AngularAI project.
+This document outlines the best practices and standards for the GoodOne project.
 
 ## General Principles
 - **Modern Standards**: Use the latest stable versions of frameworks (Angular 21+, Spring Boot 4+). NEVER use deprecated methods, features, or syntax in any language (e.g., avoid `*ngIf` and `*ngFor` in Angular, use modern control flow instead).
@@ -84,10 +84,10 @@ This document outlines the best practices and standards for the AngularAI projec
 ## Backend Development (Spring Boot)
 
 ### 1. Architecture
-- **Controllers**: Use RESTful controllers in `ch.goodone.angularai.backend.controller`.
-- **Models**: Use JPA entities in `ch.goodone.angularai.backend.model`. Always create a Flyway migration script (in `backend/src/main/resources/db/migration/`) whenever a JPA entity is created or modified to ensure the database schema stays in sync.
+- **Controllers**: Use RESTful controllers in `ch.goodone.goodone.backend.controller`.
+- **Models**: Use JPA entities in `ch.goodone.goodone.backend.model`. Always create a Flyway migration script (in `backend/src/main/resources/db/migration/`) whenever a JPA entity is created or modified to ensure the database schema stays in sync.
 - **Idempotent Migrations**: All Flyway migration scripts MUST be idempotent. Use `CREATE TABLE IF NOT EXISTS`, `ALTER TABLE ... ADD COLUMN IF NOT EXISTS`, and similar constructs. This is critical for Fargate deployments where tasks may restart or run concurrently during rollout.
-- **Repositories**: Use Spring Data JPA repositories in `ch.goodone.angularai.backend.repository`. Avoid using direct SQL statements (e.g., via `JdbcTemplate`) in Java code. Use JPA or Spring Data JPA abstractions for all database operations.
+- **Repositories**: Use Spring Data JPA repositories in `ch.goodone.goodone.backend.repository`. Avoid using direct SQL statements (e.g., via `JdbcTemplate`) in Java code. Use JPA or Spring Data JPA abstractions for all database operations.
 - **DTOs**: Use DTOs for API requests and responses to avoid leaking internal entity structures. Implement `fromEntity()` static methods in DTOs for centralized mapping.
 
 ### 2. Best Practices