jmcdo29/testing-nestjs
Testing Nestjs
This project is a NestJS testing boilerplate and reference implementation. It provides a structured monorepo workspace designed to demonstrate various architectural and testing patterns for NestJS applications.
The project features a dockerized test environment and an integration testing framework. It includes a dedicated GraphQL API test suite to validate graph-based endpoints and schemas for queries and mutations.
The suite covers a layered testing hierarchy consisting of unit, integration, and end-to-end tests. These capabilities extend across the application and data layers, including database store verification and the validation of diverse communication patterns.
The workspace incorporates build and test result caching and compiler-level file exclusion to optimize development cycles.
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.
