This technical description outlines the architecture and functionality of a system built with Nest.js, PostgreSQL, and GraphQL.
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Environment Setup:
- Nest.js is chosen for its TypeScript support, dependency injection, and modular architecture.
- PostgreSQL is selected as the database system due to its reliability and performance.
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Database Configuration:
- The application connects to PostgreSQL using TypeORM, an ORM library for TypeScript and JavaScript.
- TypeORM is used to define entities (data models) using TypeScript classes and map them to database tables.
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Data Models:
- TypeScript classes represent data models, each corresponding to a table in the PostgreSQL database.
- These classes define the structure of data and any associated business logic.
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GraphQL Integration:
- Nest.js integrates GraphQL using the
@nestjs/graphql
module. - GraphQL resolvers handle incoming queries and mutations, interacting with services to perform CRUD operations.
- Nest.js integrates GraphQL using the
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Services:
- Nest.js services encapsulate business logic and interact with the database through TypeORM entities.
- Services provide methods for creating, reading, updating, and deleting data.
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Data Validation:
- Data validation is performed using the
class-validator
library. - Decorators are added to entity properties to define validation rules, ensuring data integrity.
- Data validation is performed using the
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GraphQL Schema:
- GraphQL types represent data structures and operations exposed by the API.
- The schema maps GraphQL types to resolvers, enabling data retrieval and manipulation.
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Authentication and Authorization (Optional):
- Middleware can be added to authenticate and authorize GraphQL requests.
- Libraries like Passport.js handle authentication strategies like JWT or OAuth.
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Testing:
- Unit tests are written for services and resolvers using Jest or Mocha.
- Integration tests verify the system behavior, including interactions with the database and GraphQL layer.
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Documentation and Tooling:
- API documentation is generated using tools like GraphQL Playground or Swagger.
- Examples and explanations are provided for each query and mutation to assist developers.
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Deployment:
- The application is prepared for production deployment, including environment configuration and code optimization.
- Security measures are implemented to protect against common vulnerabilities.
This system architecture leverages the strengths of Nest.js, PostgreSQL, and GraphQL to create a robust and scalable API for managing data.
$ npm install
# development
$ npm run start
# watch mode
$ npm run start:dev
# production mode
$ npm run start:prod
# unit tests
$ npm run test
# e2e tests
$ npm run test:e2e
# test coverage
$ npm run test:cov
# Script in package.json
"typeorm": "typeorm-ts-node-esm -d ./ormconfig.ts"
# Generate a new migration and synchronizing entities
$ npm run typeorm -- migration:generate ./src/migrations/Initial
# sync database runnig migrations
$ npm run typeorm migration:run
If you'd like to contribute to this project, please fork the repository and submit a pull request. You can also open an issue if you have any questions or suggestions.
Nest is MIT licensed.