feat: Implement Release Dashboard view and enhance MetricsDetails health tracking

[Sumit6307]

This Pull Request introduces significant enhancements to the AQA Test Tools platform, focusing on two major areas: high-level ecosystem health monitoring and optimized data triaging for the TrafficLight system. The update delivers a new Release Dashboard for JDK-wide metrics along with a persistent Save mechanism for refined statistical analysis.

Overview

This PR provides:

• A centralized release health monitoring dashboard.
• Optimized backend aggregation for large datasets.
• Persistent triaging controls with recalculated statistics.
• Improved frontend-backend synchronization.

Key Features

1. Release Dashboard Implementation

Unified Health Monitoring

• Introduced a centralized view to track multiple OpenJDK releases (JDK 8, 11, 17, 21, etc.).
• Provides high-level ecosystem visibility for release managers.

Efficient Backend Analytics

• Implemented the /api/getReleaseSummary endpoint.
• Utilizes MongoDB aggregation pipelines to compute real-time health metrics from large build histories.
• Optimized to minimize data transfer and maintain responsiveness.

Graphic UI Components

• Developed a custom ReleaseHealthWidget using Ant Design.
• Displays success/failure distributions and visual pass-rate indicators.
• Provides an intuitive summary of release stability.

Dashboard Integration

• Registered a new “Release” tab within the TRSS Dashboard framework.
• Ensures seamless navigation and consistent user experience.

2. MetricsDetails & Persistence Enhancements

Global Save Functionality

• Enhanced the MetricsDetails view with a persistent “Save” mechanism.
• Stores triaging decisions across both Test and Baseline datasets.

Outlier Filtering

• Updated MetricsTable to allow exclusion of specific test runs from global calculations.
• Prevents outliers from skewing ecosystem-wide health metrics.

Statistical Recalibration API

• Implemented the /api/updateStats backend endpoint.
• Dynamically recalculates health metrics after exclusions.
• Ensures statistical accuracy following manual adjustments.

Network Utility Upgrade

• Added postData support to the core utility library.
• Improves synchronization between frontend and backend services.

Technical Implementation Details

Architecture

• Followed the existing WidgetWrapper pattern to maintain compatibility with dashboard customization features.
• Ensured modular and scalable component integration.

Regex-based Versioning

• Implemented backend regex logic to automatically identify and group metrics by JDK version from standard build naming conventions.

Scalability

• Designed aggregation pipelines to reduce unnecessary data transfer.
• Maintains dashboard responsiveness as the dataset scales.

Verification & Testing

Functional Validation

• Confirmed that the Release Dashboard correctly visualizes metrics for all major JDK releases currently in the system.

Data Integrity

• Verified that saving excluded runs updates the backend successfully.
• Confirmed accurate statistical recalculations after exclusions.

UI Consistency

• Ensured all new components align with existing design standards and Ant Design guidelines.

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[Sumit6307]

This Pull Request introduces significant enhancements to the AQA Test Tools platform, focusing on two major areas: high-level ecosystem health monitoring and optimized data triaging for the TrafficLight system. The update delivers a new Release Dashboard for JDK-wide metrics along with a persistent Save mechanism for refined statistical analysis.

Overview

This PR provides:

• A centralized release health monitoring dashboard.
• Optimized backend aggregation for large datasets.
• Persistent triaging controls with recalculated statistics.
• Improved frontend-backend synchronization.

Key Features

1. Release Dashboard Implementation

Unified Health Monitoring

• Introduced a centralized view to track multiple OpenJDK releases (JDK 8, 11, 17, 21, etc.).
• Provides high-level ecosystem visibility for release managers.

Efficient Backend Analytics

• Implemented the /api/getReleaseSummary endpoint.
• Utilizes MongoDB aggregation pipelines to compute real-time health metrics from large build histories.
• Optimized to minimize data transfer and maintain responsiveness.

Graphic UI Components

• Developed a custom ReleaseHealthWidget using Ant Design.
• Displays success/failure distributions and visual pass-rate indicators.
• Provides an intuitive summary of release stability.

Dashboard Integration

• Registered a new “Release” tab within the TRSS Dashboard framework.
• Ensures seamless navigation and consistent user experience.

2. MetricsDetails & Persistence Enhancements

Global Save Functionality

• Enhanced the MetricsDetails view with a persistent “Save” mechanism.
• Stores triaging decisions across both Test and Baseline datasets.

Outlier Filtering

• Updated MetricsTable to allow exclusion of specific test runs from global calculations.
• Prevents outliers from skewing ecosystem-wide health metrics.

Statistical Recalibration API

• Implemented the /api/updateStats backend endpoint.
• Dynamically recalculates health metrics after exclusions.
• Ensures statistical accuracy following manual adjustments.

Network Utility Upgrade

• Added postData support to the core utility library.
• Improves synchronization between frontend and backend services.

Technical Implementation Details

Architecture

• Followed the existing WidgetWrapper pattern to maintain compatibility with dashboard customization features.
• Ensured modular and scalable component integration.

Regex-based Versioning

• Implemented backend regex logic to automatically identify and group metrics by JDK version from standard build naming conventions.

Scalability

• Designed aggregation pipelines to reduce unnecessary data transfer.
• Maintains dashboard responsiveness as the dataset scales.

Verification & Testing

Functional Validation

• Confirmed that the Release Dashboard correctly visualizes metrics for all major JDK releases currently in the system.

Data Integrity

• Verified that saving excluded runs updates the backend successfully.
• Confirmed accurate statistical recalculations after exclusions.

UI Consistency

• Ensured all new components align with existing design standards and Ant Design guidelines.

@smlambert