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Automated testing

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
25/100
Tipo de issue
Nueva funcionalidad
Claridad
Necesita aclaración
Estado de actividad
Estancado
Stack tecnológico
cypress, github-actions, javascript, postgresql, supabase
Área
backend-api-design, ci-cd, documentation, testing

Línea de trabajo

Comienza leyendo docs/PRDs/206-automated-testing.md y revisando la configuración de pruebas y GitHub Actions existente en el repositorio; el issue menciona Jest, Supertest y Cypress como herramientas candidatas. Se considera completado cuando una suite de pruebas deterministas unitarias, de integración y E2E está integrada en CI, supera el 80 % de cobertura, incluye cobertura de regresión y seguridad, y cuenta con documentación de pruebas.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

cicd hacktoberfest

📋 Product Requirements Document

PRD: Automated testing

Issue: #206
Milestone: Phase 9: Deployment & Operations
Labels: cicd, hacktoberfest

PRD: Automated Testing for MeshHook

Overview

The MeshHook project, a webhook-first, deterministic, Postgres-native workflow engine, requires a robust automated testing framework to ensure high-quality and reliable software delivery. The implementation of an automated testing suite is imperative to detect bugs early, streamline the development process, and maintain the integrity of key features such as webhook triggers, visual DAG builders, durable runs, live logs, and multi-tenant RLS security.

Purpose

This PRD outlines the development and integration of a comprehensive automated testing suite aimed at unit, integration, and end-to-end (E2E) tests. This suite will support continuous integration and delivery (CI/CD) processes, enhance deployment reliability, and safeguard against regressions.

Alignment with Project Goals

Automated testing is pivotal for:

  • Ensuring the security and reliability of the webhook triggers alongside their signature verification process.
  • Validating the functionality and user experience of the visual DAG builder.
  • Preserving the integrity and accuracy of durable, replayable runs.
  • Confirming the real-time capabilities of live logs through Supabase Realtime.
  • Maintaining the robustness of the multi-tenant RLS security model.

Requirements

Functional Requirements
  1. Test Coverage: Achieve and maintain a codebase coverage of >80%, prioritizing critical paths such as webhook reception, DAG processing, and security features.
  2. Automated Test Execution: Leverage GitHub Actions to automate the execution of tests upon every commit and pull request.
  3. Regression Suite: Develop a regression test suite that encapsulates previously identified bugs and critical issues to prevent future regressions.
  4. Documentation: Provide comprehensive documentation on the testing framework, including guidelines for writing, running, and updating tests.
Non-Functional Requirements
  • Performance: Optimize test execution to minimize impact on CI/CD timelines.
  • Reliability: Ensure tests are deterministic to avoid flaky outcomes.
  • Security: Incorporate tests to validate the effectiveness of security features.
  • Maintainability: Design the testing framework for ease of updates and scalability.

Technical Specifications

Architecture Context

MeshHook utilizes a tech stack that includes SvelteKit/Svelte 5, Supabase, and custom workers for background processing. The testing suite must integrate across these technologies, validating both individual components and their interactions.

Implementation Approach
  1. Tool Selection:
    • Unit Testing: Jest for its robustness and community support.
    • Integration Testing: Supertest to validate API integrations.
    • E2E Testing: Cypress, for its intuitive syntax and real browser testing capabilities.
  2. Test Development:
    • Employ TDD to build tests for new and existing features.
    • Create unit tests for isolated functions and components.
    • Develop integration tests to verify component interactions and data flows.
    • Implement E2E tests to simulate user interactions and workflows.
  3. CI/CD Integration:
    • Configure GitHub Actions for automated test execution against all branches.
    • Ensure tests run on pull requests and before merges to main branches.
  4. Documentation:
    • Update the MeshHook documentation to include sections on the testing strategy and maintenance.
Data Model Changes

No direct changes to the data model are anticipated for the automated testing implementation. Any required modifications will be documented during the development phase.

API Endpoints

The testing suite will cover existing API endpoints, ensuring they meet functionality and performance standards under various conditions.

Acceptance Criteria

  • Automated testing suite achieves >80% codebase coverage.
  • All tests pass consistently across local and CI/CD environments.
  • GitHub Actions are configured to run the test suite for all relevant triggers.
  • Testing documentation is complete, detailed, and accessible to the team.
  • Test suite performance benchmarks are established and met, not exceeding predetermined thresholds for CI/CD delays.

Dependencies and Prerequisites

  • Access to MeshHook's code repository and CI/CD configurations.
  • Selection and setup of testing tools compatible with the MeshHook stack.
  • Current documentation on MeshHook's architecture, coding standards, and security protocols.

Implementation Notes

Development Guidelines
  • Follow MeshHook's established coding and documentation standards.
  • Prioritize coverage for critical functionalities and paths.
  • Ensure test determinism to minimize flakiness.
Testing Strategy
  • Unit Tests: Target functions and components with mocked dependencies.
  • Integration Tests: Focus on the interactions between components and the database.
  • E2E Tests: Simulate user scenarios from start to finish, including UI interactions.
Security Considerations
  • Explicitly test security mechanisms such as RLS rules, webhook signature verification, and data sanitization.
Monitoring and Observability

Monitor and log test executions to identify flaky tests and performance bottlenecks, providing insights for continuous improvement.

Related Documentation

  • MeshHook PRD, Architecture, and Security Guidelines.
  • GitHub Actions documentation for CI/CD.
  • Testing framework documentation (Jest, Supertest, Cypress).

This PRD was AI-generated using gpt-4-turbo-preview from GitHub issue #206
Generated: 2025-10-10

📎 Generated Documentation

Diagram

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

Lenguaje dominante
JavaScript
Estrellas
6
Forks
6
Merge medio
4 min
PR fusionados (30 d)
6

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