Merge pull request #2800 from bluewave-labs/develop-saas

Merging Develop-SaaS into Master-SaaS: Dec 2nd, 2025

Author: HarshP4585

.env.dev

@@ -2,9 +2,9 @@
 # NOTE: Please do not change the BACKEND_PORT
 BACKEND_PORT=3000
 BACKEND_URL=http://localhost:3000
-FRONTEND_PORT=8082
-FRONTEND_URL=http://localhost:8082
-ALLOWED_ORIGINS=["http://localhost:5173", "http://localhost:8082", "http://localhost:3000"]
+FRONTEND_PORT=5173
+FRONTEND_URL=http://localhost:5173
+HOST=localhost
 BIAS_AND_FAIRNESS_PORT=8000
 NODE_ENV=development
 
@@ -30,6 +30,8 @@ MOCK_DATA_ON=false
 JWT_SECRET=aacc459503e937c73ac3c4ebd874578a81b95861e83cdd923eeca8f7dadffea9d026e1581ee966a7fc4a74a8c6126ddec75c2c662ed7777a90e3aefb00ef1a87
 REFRESH_TOKEN_SECRET=e628d7938c76308774cecf87dcb9bee6b8cae80ed2d20731ef94e211cf9c9b82b4632b55cead3632d59dd72d7e0d28f0afe125bfeaa0ea82b548be86c0de179d
 
+SESSION_SECRET=your-session-secret
+
 # Encryption Settings
 ENCRYPTION_ALGORITHM=YOUR_ENCRYPTION_ALGORITHM
 ENCRYPTION_PASSWORD=YOUR_ENCRYPTION_PASSWORD

.env.prod

@@ -4,7 +4,7 @@ BACKEND_PORT=3000
 BACKEND_URL=http://localhost:3000 # localhost needs to be replaced by ip
 FRONTEND_PORT=8080
 FRONTEND_URL=http://localhost:8080 # localhost needs to be replaced by ip
-ALLOWED_ORIGINS=["http://localhost:5173", "http://localhost:8080", "http://localhost:3000"] # localhost needs to be replaced by ip
+HOST=localhost
 BIAS_AND_FAIRNESS_PORT=8000
 NODE_ENV=production
 # NOTE: Please do not change this unless the database is hosted on a different server and you want to use SSL for the connection
@@ -40,6 +40,8 @@ MOCK_DATA_ON=false
 JWT_SECRET=aacc459503e937c73ac3c4ebd874578a81b95861e83cdd923eeca8f7dadffea9d026e1581ee966a7fc4a74a8c6126ddec75c2c662ed7777a90e3aefb00ef1a87
 REFRESH_TOKEN_SECRET=e628d7938c76308774cecf87dcb9bee6b8cae80ed2d20731ef94e211cf9c9b82b4632b55cead3632d59dd72d7e0d28f0afe125bfeaa0ea82b548be86c0de179d
 
+SESSION_SECRET=your-session-secret
+
 # Encryption Settings
 ENCRYPTION_ALGORITHM=YOUR_ENCRYPTION_ALGORITHM
 ENCRYPTION_PASSWORD=YOUR_ENCRYPTION_PASSWORD

.github/workflows/docker-image-saas-test.yml

@@ -62,6 +62,7 @@ jobs:
             VITE_GOOGLE_CLIENT_ID=${{ secrets.GOOGLE_CLIENT_ID }}
             VITE_SLACK_CLIENT_ID=${{ secrets.SLACK_CLIENT_ID }}
             VITE_APP_VERSION=${{ env.TAG }}
+            VITE_BRANDFETCH_API_KEY=${{ secrets.VITE_BRANDFETCH_API_KEY }}
 
       - name: Build and push Servers image
         uses: docker/build-push-action@v4

.github/workflows/docker-image-saas.yml

@@ -66,6 +66,7 @@ jobs:
             VITE_GOOGLE_CLIENT_ID=${{ secrets.GOOGLE_CLIENT_ID }}
             VITE_SLACK_CLIENT_ID=${{ secrets.SLACK_CLIENT_ID }}
             VITE_APP_VERSION=${{ env.TAG }}
+            VITE_BRANDFETCH_API_KEY=${{ secrets.VITE_BRANDFETCH_API_KEY }}
 
       - name: Build and push Servers image
         uses: docker/build-push-action@v4

.gitignore

@@ -25,4 +25,5 @@ agent-output.md
 FILE_MANAGER_WORKFLOW.md
 SYSTEM_DESIGN_FILE_MANAGER.md
 SYSTEM_DESIGN_EMAIL_NOTIFICATION.md
-FILE_STORAGE_ARCHITECTURE.md
+FILE_STORAGE_ARCHITECTURE.md
+Authentication_Authorization_Workflow_Documentation.md

BiasAndFairnessModule/run_full_evaluation.py

@@ -252,7 +252,7 @@ def _run_metric(metric_name: str, y_true: np.ndarray, y_pred: np.ndarray,
         race_value = convert_metric_to_float(race_result, metric_name)
         all_results[f"{metric_name}_race"] = race_value
 
-        print(f"      ✅ {metric_name}: sex={sex_value:.4f}, race={race_value:.4f}")
+        print(f"      ✅ {metric_name}: computed for sex and race (values not logged for privacy)")
 
     except Exception as e:
         print(f"      ❌ {metric_name}: Error - {str(e)}")
@@ -388,7 +388,7 @@ def _print_pipeline_summary(comprehensive_results: dict, clean_results: dict):
     if fairness_values:
         max_disparity_sex = max(fairness_values.values())
         max_metric_sex = max(fairness_values, key=fairness_values.get)
-        print(f"   Highest sex-based disparity: {max_metric_sex} = {max_disparity_sex:.4f}")
+        print(f"   Sex-based disparities detected. (Metric name and value omitted for privacy.)")
 
     fairness_values_race = {k: v for k, v in comprehensive_results['fairness_metrics'].items() 
                            if v is not None and 'race' in k}

BiasAndFairnessModule/src/eval_engine/results_summarizer.py

@@ -60,7 +60,7 @@ def summarize_results(results_path: str = 'artifacts/evaluation_results.json') -
     eo_sex = results['fairness']['equalized_odds_sex']
     eo_race = results['fairness']['equalized_odds_race']
 
-    print(f"   Equalized Odds (Sex): {eo_sex:.3f}")
+    print("   Equalized Odds (Sex): See assessment below")
     if abs(eo_sex) < 0.1:
         print("     ✅ Good: Similar true positive and false positive rates")
     elif abs(eo_sex) < 0.2: