Run detail view with DAG visualization

[ralyodio]

📋 Product Requirements Document

PRD: Run detail view with DAG visualization

Issue: #131
Milestone: Phase 3: Frontend (SvelteKit)
Labels: run-console, hacktoberfest

---

PRD: Run Detail View with DAG Visualization

Issue: #131
Milestone: Phase 3: Frontend (SvelteKit)
Labels: run-console, hacktoberfest
Owner: Anthony Ettinger (Profullstack)
License: MIT

---

Overview

The Run Detail View with DAG Visualization task is a critical component of the MeshHook project's Phase 3 milestone, focusing on enhancing the Run Console section. This feature aims to provide users with a detailed view of individual workflow runs, represented through a Directed Acyclic Graph (DAG) visualization. This aligns with MeshHook's goal to deliver a visually intuitive and durable workflow engine that supports webhook triggers, visual DAG building, durable runs, live logging, and multi-tenant security.

Objectives

• To visually represent the execution path of a workflow run within the MeshHook platform.
• To enhance the debugging and monitoring capabilities for users by providing detailed insights into the run's state, history, and performance.

Requirements

Functional Requirements

1. DAG Visualization: Generate and display a visual representation of the workflow execution as a DAG, showing the sequence and dependencies between nodes.
2. Run Detail Information: Display detailed information about the run, including start/end times, execution status, and any errors encountered.
3. Live Updates: Integrate with Supabase Realtime to reflect live status updates within the DAG visualization and run details.
4. User Interaction: Allow users to interact with the DAG nodes to view specific logs, metrics, or errors associated with each step.
5. Navigation and Usability: Provide an intuitive interface for navigating between different runs and workflows.

Non-Functional Requirements

• Performance: Ensure the DAG visualization and run detail fetching operations complete within sub-second response times.
• Reliability: Achieve 99.9% uptime for the run detail view feature.
• Security: Implement RLS and adhere to the existing project security guidelines to protect run data.
• Maintainability: Code should be clean, well-documented, and easy to maintain with adherence to the project's coding standards.

Technical Specifications

Architecture Context

MeshHook utilizes a combination of SvelteKit for frontend development, Supabase for backend services, and a PostgreSQL database. The run detail view with DAG visualization requires integration with these existing components:

• SvelteKit/Svelte 5: For building the frontend user interface.
• Supabase Realtime: To stream run status updates.
• PostgreSQL: To retrieve run details and workflow definitions.

Implementation Approach

1. Design Phase: Create mockups for the DAG visualization and run detail view. Define the user interaction models and data flow.
2. Data Modeling: Identify necessary database queries to fetch run details and workflow definitions from PostgreSQL.
3. Frontend Development:
   • Implement the DAG visualization using a suitable JavaScript library that integrates well with Svelte.
   • Develop the run detail view component, fetching data from PostgreSQL through Supabase.
   • Ensure live updates using Supabase Realtime subscriptions.
4. Integration Testing: Test the integration of the new frontend components with the backend data sources.
5. Performance Optimization: Optimize the frontend components and database queries for performance.
6. Security Review: Ensure all data interactions are secured and comply with RLS policies.

Data Model Changes

No immediate data model changes are required. However, any adjustments discovered during implementation should be documented and applied to schema.sql.

API Endpoints

No new API endpoints are required. The existing endpoints for fetching run details and workflow definitions will be utilized.

Acceptance Criteria

• DAG visualization accurately represents the workflow execution path.
• Run details are correctly displayed, including execution status and errors.
• Live updates are reflected in real-time without manual page refreshes.
• User interactions with DAG nodes display relevant logs or metrics.
• Performance benchmarks for response time are met.
• Code adheres to project's coding standards and security guidelines.

Dependencies

• SvelteKit and Supabase access and configurations must be in place.
• Access to the PostgreSQL database schema for potential adjustments.
• Existing frontend and backend codebase for integration.

Implementation Notes

Development Guidelines

• Utilize the latest features of SvelteKit and Svelte 5, following component best practices.
• Implement error handling and logging mechanisms.
• Prioritize user experience and interface responsiveness.

Testing Strategy

• Unit Tests: For individual components and utility functions.
• Integration Tests: To ensure components interact correctly with backend services.
• E2E Tests: Simulate user interactions and data flow through the application.

Security Considerations

• Ensure all database queries are protected against SQL injection.
• Verify that RLS policies are correctly applied to all data queries.
• Audit log access and modifications to run details.

Monitoring & Observability

• Instrument frontend components to track performance metrics.
• Monitor error rates and log anomalies for the new feature.
• Utilize Supabase Realtime monitoring tools to ensure live updates are functioning correctly.

Related Documentation

• Main PRD
• Architecture
• Security Guidelines
• Operations Guide

---

This PRD was AI-generated using gpt-4-turbo-preview from GitHub issue #131
Generated: 2025-10-10

📎 Generated Documentation

• 📄 PRD Document: 131-run-detail-view-with-dag-visualization.md
• 🎨 PlantUML Diagram: 131-run-detail-view-with-dag-visualization.puml
• 🖼️ Diagram Image: 131-run-detail-view-with-dag-visualization.png

---

This issue body was auto-generated from the PRD. Original issue content is preserved in the PRD document.
Last updated: 2025-10-10