Add Rich-formatted Bedrock deployment summary with GitLab integration

- Update Bedrock prompt to generate structured table format with root cause analysis
- Add Rich library for colored panel formatting in CodeBuild logs
- Save full deployment logs to codebuild_logs.txt artifact
- Show only AI/manual summary in GitLab runner logs for cleaner output
- Include detailed failure analysis for all patterns with specific error messages

Author: Taniya Mathur

.gitlab-ci.yml

@@ -155,11 +155,30 @@ integration_tests:
           LOG_STREAM_NAME="${BUILD_ID#*:}"
           echo "Log Stream: $LOG_STREAM_NAME"
           echo ""
-          echo "=== CODEBUILD LOGS ==="
+          echo "=== DEPLOYMENT SUMMARY ==="
           # Wait for CloudWatch Logs to flush all events
           echo "Waiting 30 seconds for logs to flush..."
           sleep 30
-          aws logs get-log-events --log-group-name "/aws/codebuild/app-sdlc" --log-stream-name "$LOG_STREAM_NAME" --start-from-head --query 'events[].message' --output text 2>/dev/null || echo "Could not retrieve CodeBuild logs"
+          FULL_LOGS=$(aws logs get-log-events --log-group-name "/aws/codebuild/app-sdlc" --log-stream-name "$LOG_STREAM_NAME" --start-from-head --query 'events[].message' --output text 2>/dev/null || echo "Could not retrieve CodeBuild logs")
+          
+          # Save full logs to artifact
+          echo "$FULL_LOGS" > codebuild_logs.txt
+          echo "📁 Full deployment logs saved to: codebuild_logs.txt"
+          
+          # Extract and show AI summary or manual summary
+          echo ""
+          AI_SUMMARY=$(echo "$FULL_LOGS" | grep -A 50 "AI Deployment Analysis" | head -50)
+          MANUAL_SUMMARY=$(echo "$FULL_LOGS" | grep -A 20 "DEPLOYMENT SUMMARY REPORT" | head -20)
+          
+          if [ -n "$AI_SUMMARY" ]; then
+            echo "🤖 AI-Powered Deployment Analysis:"
+            echo "$AI_SUMMARY"
+          elif [ -n "$MANUAL_SUMMARY" ]; then
+            echo "📋 Deployment Summary:"
+            echo "$MANUAL_SUMMARY"
+          else
+            echo "⚠️ No deployment summary available"
+          fi
         else
           echo "Could not find CodeBuild execution"
         fi
@@ -171,4 +190,5 @@ integration_tests:
     when: always
     paths:
       - pipeline_execution_id.txt
+      - codebuild_logs.txt
     expire_in: 1 week

scripts/codebuild_deployment.py

@@ -291,7 +291,7 @@ def generate_deployment_summary(deployment_results, stack_prefix, template_url):
 
         # Create prompt for Bedrock with actual logs
         prompt = dedent(f"""
-        You are an AWS deployment analyst. Analyze the following deployment logs and create a comprehensive summary.
+        You are an AWS deployment analyst. Analyze the following deployment logs and create a concise summary in table format.
 
         Deployment Information:
         - Timestamp: {datetime.now().isoformat()}
@@ -305,14 +305,36 @@ def generate_deployment_summary(deployment_results, stack_prefix, template_url):
         Pattern Results Summary:
         {json.dumps(deployment_results, indent=2)}
 
-        Please provide:
-        1. Executive Summary (2-3 sentences)
-        2. Deployment Status Overview
-        3. Pattern-by-Pattern Analysis
-        4. Failure Analysis (extract specific errors from logs)
-        5. Recommendations based on log analysis
-
-        Focus on extracting failure reasons from the actual logs and provide actionable insights.
+        Create a summary with this EXACT format:
+
+        ┌─────────────────────────────────────────────────────────────────────────────┐
+        │                              DEPLOYMENT RESULTS                             │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │ Pattern               │ Status    │ Duration  │ Key Metrics               │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │ Pattern 1 - BDA       │ SUCCESS   │ 15m 30s   │ 28 functions validated    │
+        │ Pattern 2 - OCR       │ SUCCESS   │ 12m 45s   │ All tests passed          │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │                              ROOT CAUSE ANALYSIS                            │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │ • CloudWatch log cleanup failed due to concatenated log group names        │
+        │ • AWS CLI text output parsing caused parameter validation errors           │
+        │ • Provide specific error messages, resource names, and failure points      │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │                              RECOMMENDATIONS                                │
+        ├─────────────────────────────────────────────────────────────────────────────┤
+        │ • Fix CloudWatch log cleanup to use JSON output instead of text            │
+        │ • Add proper error handling for resource cleanup operations                 │
+        └─────────────────────────────────────────────────────────────────────────────┘
+
+        Requirements:
+        - Use EXACT table format above
+        - For failures: provide detailed root cause analysis for ALL failed patterns
+        - Include specific error messages, resource names, and exact failure points from logs
+        - Include sufficient technical details to understand WHY each pattern failed
+        - Maximum 2-3 bullet points for recommendations
+        - Keep each line under 75 characters
+        - Extract actual error messages and resource identifiers from logs
         """)
 
         # Call Bedrock API
@@ -334,10 +356,23 @@ def generate_deployment_summary(deployment_results, stack_prefix, template_url):
         response_body = json.loads(response['body'].read())
         summary = response_body['content'][0]['text']
 
-        print("📊 Deployment Summary Generated:")
-        print("=" * 80)
-        print(summary)
-        print("=" * 80)
+        try:
+            from rich.console import Console
+            from rich.panel import Panel
+            
+            console = Console()
+            console.print(Panel(
+                summary, 
+                title="🤖 AI Deployment Analysis", 
+                border_style="green",
+                padding=(1, 2)
+            ))
+        except ImportError:
+            # Fallback to plain text if Rich not available
+            print("📊 Deployment Summary Generated:")
+            print("=" * 80)
+            print(summary)
+            print("=" * 80)
 
         return summary
 

scripts/sdlc/cfn/codepipeline-s3.yml

@@ -161,6 +161,7 @@ Resources:
                 - npm install -g aws-cdk || { echo "CDK installation failed"; exit 1; }
                 - export IDP_ADMIN_EMAIL=$(aws s3api head-object --bucket idp-sdlc-sourcecode-${AWS_ACCOUNT_ID:-020432867916}-${AWS_DEFAULT_REGION:-us-east-1} --key deploy/code.zip --query 'Metadata."gitlab-user-email"' --output text 2>/dev/null || echo "")
                 - cd idp_cli && pip install -e . && cd .. || { echo "IDP CLI installation failed"; exit 1; }
+                - pip install rich || echo "Rich installation failed, using fallback formatting"
             build:
               commands:
                 - python3 scripts/codebuild_deployment.py