jmcdo29/testing-nestjs

Features

• NestJS Application Testing - Provides a reference implementation for writing and executing unit, integration, and end-to-end tests for NestJS services.
• Node and NestJS Boilerplates - Serves as a reference boilerplate for setting up a complete testing stack within a NestJS application.
• Database Integration Testing - Verifies data persistence and retrieval logic across different database technologies using isolated test stores.
• Monorepo Managers - Coordinates multiple related application samples and configurations within a single version-controlled repository.
• Monorepo Architectures - Employs a monorepo structure to organize multiple application samples and shared testing patterns.
• Data Layer Testing - Enables verification of data persistence logic by simulating interactions with various database technologies.
• Database Store Verifications - Capabilities for writing tests specifically for applications utilizing diverse data stores to ensure reliable information retrieval.
• Integration Testing - Includes a framework to verify that application modules and external services communicate seamlessly.
• End-to-End Testing - Provides automated suites to verify complete application flows from entry point to response.
• Integration Testing Frameworks - Provides a framework to verify communication between internal application modules and external data stores.
• Application Testing - Provides a layered testing approach to verify software reliability across different architectural levels.
• Integrated Testing Suites - Organizes a comprehensive testing hierarchy that integrates unit, integration, and end-to-end test layers.
• Unit Testing - Implements isolated tests to validate individual functions and components.
• GraphQL API Validation - Provides a dedicated suite to validate GraphQL endpoints and schemas for queries and mutations.
• Test Database Provisioners - Provides the ability to launch and manage isolated database containers for integration testing.
• Multi-Format Data Persistence - Simulates interactions across multiple database technologies to verify data retrieval and storage logic.
• Automated Testing Containers - Ships a container-based setup for running automated tests against isolated database and application services.
• GraphQL Testing - Includes a specialized test suite for validating GraphQL queries, mutations, and schemas.
• End-to-End Testing Environments - Packages applications into container images configured to run end-to-end tests automatically upon startup.
• Communication Pattern Validations - Includes test suites designed to validate diverse communication patterns including request-response and graph-based endpoints.
• Polyglot Communication Testing - Validates diverse interface patterns including REST and GraphQL endpoints within a single test framework.
• Ephemeral Testing Environments - Utilizes ephemeral containerized instances to provide consistent and isolated environments for automated testing.
• Testing Utilities - Provides examples for various testing methods.

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