@memberjunction/ng-dashboards
v5.28.0
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MemberJunction Dashboards
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@memberjunction/ng-dashboards
Comprehensive Angular dashboard components for MemberJunction Explorer, providing administrative interfaces for AI operations, entity management, actions, communication, testing, scheduling, credentials, API keys, version history, MCP servers, and more.
Overview
This package provides a rich collection of dashboard components registered as BaseResourceComponent subclasses. Each dashboard is loaded dynamically within the Explorer shell based on application navigation configuration. Dashboards follow MemberJunction's engine-class pattern for data access (no Angular services for data) and use getter/setter state management for reactivity.
graph TD
BRC["BaseResourceComponent"] --> AID["AI Dashboard"]
BRC --> EAD["Entity Admin Dashboard"]
BRC --> ACT["Actions Dashboard"]
BRC --> COM["Communication Dashboard"]
BRC --> TST["Testing Dashboard"]
BRC --> SCH["Scheduling Dashboard"]
BRC --> CRD["Credentials Dashboard"]
BRC --> AK["API Keys Dashboard"]
BRC --> MCP["MCP Dashboard"]
BRC --> CS["Component Studio"]
BRC --> DE["Data Explorer"]
BRC --> VH["Version History"]
BRC --> QB["Query Browser"]
BRC --> DB["Dashboard Browser"]
BRC --> HD["Home Dashboard"]
BRC --> LST["Lists Dashboard"]
BRC --> KH["Knowledge Hub"]
KH --> VS["Vector Search"]
KH --> DD["Duplicate Detection"]
KH --> CL["Clustering"]
KH --> AT["Content Autotagging"]
KH --> KC["Knowledge Config"]
style BRC fill:#7c5295,stroke:#563a6b,color:#fff
style KH fill:#2d8659,stroke:#1a5c3a,color:#fff
style VS fill:#2d8659,stroke:#1a5c3a,color:#fff
style DD fill:#2d8659,stroke:#1a5c3a,color:#fff
style CL fill:#2d8659,stroke:#1a5c3a,color:#fff
style AT fill:#2d8659,stroke:#1a5c3a,color:#fff
style KC fill:#2d8659,stroke:#1a5c3a,color:#fff
style AID fill:#2d6a9f,stroke:#1a4971,color:#fff
style EAD fill:#2d6a9f,stroke:#1a4971,color:#fff
style ACT fill:#2d6a9f,stroke:#1a4971,color:#fff
style COM fill:#2d8659,stroke:#1a5c3a,color:#fff
style TST fill:#2d8659,stroke:#1a5c3a,color:#fff
style SCH fill:#2d8659,stroke:#1a5c3a,color:#fff
style CRD fill:#b8762f,stroke:#8a5722,color:#fff
style AK fill:#b8762f,stroke:#8a5722,color:#fff
style MCP fill:#b8762f,stroke:#8a5722,color:#fff
style CS fill:#b8762f,stroke:#8a5722,color:#fff
style DE fill:#2d6a9f,stroke:#1a4971,color:#fff
style VH fill:#2d8659,stroke:#1a5c3a,color:#fff
style QB fill:#b8762f,stroke:#8a5722,color:#fff
style DB fill:#b8762f,stroke:#8a5722,color:#fff
style HD fill:#7c5295,stroke:#563a6b,color:#fff
style LST fill:#2d6a9f,stroke:#1a4971,color:#fffDashboards
AI Dashboard
- Execution Monitoring: Real-time AI execution tracking with KPI cards, time-series charts, and performance heatmaps
- Prompt Management: Create, edit, and version AI prompts with model-prompt priority matrix
- Agent Configuration: Configure AI agents with filtering and inline editing
- Model Management: Manage AI model configurations
- System Configuration: System-wide AI settings management
Actions Dashboard
- Action Explorer: Tree-based action browser with category management
- Execution Monitoring: Monitor action execution logs
- Scheduled Actions: Manage scheduled action configurations
- Code Management: View and manage action code
- Entity Integration: Configure entity-action relationships
- Security Permissions: Manage action-level permissions
Data Explorer
- Navigation Panel: Tree-based entity browser
- View Selector: Switch between entity views with filtering
- Filter Dialog: Dynamic filter construction
Communication Dashboard
- Monitor, logs, providers, runs, and template management for entity communications
Testing Dashboard
- Test execution, analytics, review, and explorer views for MJ's testing framework
Scheduling Dashboard
- Overview, jobs, and activity monitoring for scheduled tasks
Component Studio
- Visual component builder with AI assistant, code editing, specs, and versioning
Knowledge Hub Dashboards
The Knowledge Hub application provides a suite of dashboards for managing vector infrastructure, content processing, and AI-powered data exploration.
Vector Search Dashboard
- Unified search: Combines vector similarity (Pinecone) with full-text search using Reciprocal Rank Fusion (RRF)
- Entity document selection: Pick which entity document to search against
- Result cards: Display matched records with relevance scores and metadata
Duplicate Detection Dashboard
- Kanban board: Organizes potential duplicates by status (Pending, Reviewed, Merged, Rejected)
- Comparison slide-in: Side-by-side field diff showing which fields match, differ, or are empty
- Merge confirmation: Dialog showing dependency counts and affected records before executing a merge
- Drag-and-drop: Move duplicate pairs between kanban columns for triage
- Threshold controls: Adjust potential and absolute match thresholds for the run
- Progress tracking: Real-time progress reporting during detection runs
Clustering Dashboard
- Scatter plot visualization: Interactive SVG scatter plot powered by
@memberjunction/ng-clustering - Detail panel: Click a point to see entity metadata, cluster members, and navigate to the record
- Cluster member list: Browse all records in the selected point's cluster
- LLM cluster naming: Generate descriptive cluster labels using the "Cluster Naming" AI prompt
- Entity document selector: Choose which entity document (and embedding model) to use when the entity has multiple documents
- Save/restore: Save visualizations with viewport state and cluster labels for later review
- Config panel: Positioned at top-left with algorithm, metric, and entity selection controls
- FetchEntityVectors: Uses the
FetchEntityVectorsGraphQL query to retrieve vectors from Pinecone with entity metadata filtering
Content Autotagging Dashboard
Five-tab left navigation layout:
- Pipeline: Real-time pipeline monitor showing stage counts (Sources, Items, Tags, Attributes), KPI cards, and run controls with progress reporting
- Sources: Full CRUD management of content sources with source type parameter configuration
- Content Types: Manage content type definitions with default embedding model and vector index selection (tree-dropdown for AI model picker)
- Tag Library: Browse and manage the tag taxonomy with tag weight visualization (0.0--1.0 relevance scores)
- Run History: Historical process run logs with timing, item counts, and error details
Knowledge Config Dashboard
- Central configuration: Manage entity documents, vector indexes, vector databases, and content infrastructure
- Uses KnowledgeHubMetadataEngine: Singleton cache for all Knowledge Hub metadata with auto-refresh
Additional Dashboards
- API Keys: API key management with scopes, applications, and usage tracking
- Credentials: Credential management with categories, types, and audit
- MCP (Model Context Protocol): MCP server management and testing
- Version History: Labels, diffs, restore, and graph visualization
- Query Browser / Dashboard Browser: Browse and manage queries and dashboards
- Lists: List management with categories, operations, and Venn diagrams
- Home: Default landing dashboard
Installation
npm install @memberjunction/ng-dashboardsKey Dependencies
| Dependency | Purpose |
|---|---|
| @memberjunction/core, @memberjunction/core-entities | Entity metadata and data access |
| @memberjunction/ng-base-application | BaseResourceComponent base |
| @memberjunction/ng-shared, @memberjunction/ng-shared-generic | Shared services, loading indicators |
| @memberjunction/ng-dashboard-viewer | Dashboard rendering |
| @memberjunction/ng-query-viewer | Query execution and display |
| @progress/kendo-angular-* | Kendo UI components |
| d3 | Data visualization |
| codemirror | Code editing |
Usage
import { DashboardsModule } from '@memberjunction/ng-dashboards';
@NgModule({
imports: [DashboardsModule]
})
export class AppModule {}All dashboard components are registered via @RegisterClass(BaseResourceComponent, 'ClassName') and are loaded dynamically based on application navigation configuration. They do not need to be referenced directly in templates.
Build
cd packages/Angular/Explorer/dashboards && npm run buildLicense
ISC
