# Technology Stack Document
Generated: Tuesday, September 16, 2025

## Frontend Technologies

* **Framework:** **Angular**. The boilerplate is built on the latest stable version of the Angular framework, chosen for its robustness, component-based architecture, and suitability for large-scale, enterprise applications.
* **Language:** **TypeScript**. As a superset of JavaScript, TypeScript is used for its strong typing, which improves code quality, maintainability, and developer productivity.
* **Styling:** **SCSS**. SCSS is used for its advanced features over standard CSS, such as variables, nesting, and mixins, allowing for more organized and maintainable stylesheets.
* **UI Framework:** **VMware Clarity Design System**. This comprehensive design system provides a set of accessible, high-quality UI components and a consistent visual language, which accelerates UI development.
* **Core Libraries:**
    * **RxJS:** Used extensively throughout Angular for reactive programming and managing asynchronous operations.
    * **Zone.js:** A signaling mechanism that enables Angular's automatic change detection.

## Backend Technologies

* **Backend Agnostic:** This is a frontend-only boilerplate and is not tied to any specific backend technology. It is designed to communicate with any backend that exposes a RESTful or GraphQL API.

## Database Technologies

* **Not Applicable:** As a frontend project, the boilerplate does not include a database.

## Infrastructure & Deployment

* **Web Server:** The built application consists of static files that can be served by any modern web server (e.g., **Nginx**, **Apache**, **Caddy**).
* **Hosting:** The project can be deployed to any static site hosting provider, such as **Firebase Hosting**, **Netlify**, **Vercel**, **AWS S3**, or **GitHub Pages**.
* **Containerization (Optional):** The application can be easily containerized using **Docker** for consistent deployment environments.

## Development & Build Tools

* **Build Tool:** **Angular CLI**. The command-line interface for Angular is used for creating, building, testing, and deploying the application.
* **Package Manager:** **npm**. The Node Package Manager is used for managing all project dependencies.
* **Version Control:** **Git**. Git is the standard for version control and source code management.
* **Testing:**
    * **Unit Testing:** **Jasmine** (framework) and **Karma** (test runner) are the default tools for unit testing in Angular.
    * **End-to-End (E2E) Testing:** The project can be configured to use **Protractor** or more modern alternatives like **Cypress** or **Playwright**.
* **Code Formatting/Linting:**
    * **ESLint:** Used for identifying and reporting on patterns in ECMAScript/JavaScript code.
    * **Prettier:** An opinionated code formatter that enforces a consistent style.
    * **EditorConfig:** Helps maintain consistent coding styles for multiple developers working on the same project across various editors and IDEs.

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## TECH STACK UPDATE - 2025-10-06 07:15:21


## Additional Development Tools and Practices
Generated: 2025-10-06 07:16:00
To further support the development, deployment, and operational aspects of the Working Notes Application, the following tools and practices are recommended:
-   **Container Orchestration (Local):** `Docker Compose` will be essential for local multi-container development, allowing developers to easily spin up and manage the frontend, backend, and database services with a single command, ensuring environment consistency.
-   **API Testing Tools:** Tools like Postman or Insomnia will be used for manual API testing and exploration during development, allowing quick verification of backend endpoints.
-   **Monitoring & Alerting:** Integrate with cloud-specific monitoring services (e.g., AWS CloudWatch, Google Cloud Monitoring) for production environments to gather metrics and configure alerts for critical issues. Alternatively, open-source solutions like Prometheus for metrics collection and Alertmanager for notifications can be deployed.
-   **Logging Management:** Implement structured logging across both frontend and backend. For Python, this involves using the built-in `logging` module with JSON formatters. For Angular, an enhanced logging service can be developed to capture client-side errors and send them to a centralized logging system (e.g., ELK stack, Splunk).
-   **Dependency Management:** Ensure proper use of `npm` (frontend) and `pip` (backend) for consistent dependency management, including `package-lock.json` and `requirements.txt` for reproducible builds.

## Technology Stack Review and Confirmation
Generated: 2025-10-06 07:16:00
The selected technology stack for the "Working Notes Application" is highly appropriate and robust, aligning perfectly with all project requirements and best practices for modern web application development. Angular, combined with the Clarity Design System, provides a powerful and consistent frontend experience. Python with Flask and SQLAlchemy offers a lightweight yet capable backend for building the RESTful API, ensuring efficient data processing and robust authentication. PostgreSQL serves as a reliable and scalable primary database, with SQLite providing convenience for local development. The adoption of Docker for containerization facilitates consistent environments, from development to production, supported by `Docker Compose` for local orchestration and future potential for `Kubernetes` in cloud deployments. The specified development tools and CI/CD practices (GitHub Actions) further reinforce an efficient, quality-driven development workflow. This technology stack provides a solid and maintainable foundation that is well-positioned for the current MVP and future growth.


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## TECH STACK UPDATE - 2025-10-06 07:38:05


# Technology Stack Document
Generated: 2025-10-06T07:45:00Z

## Frontend Technologies
-   **Framework:** Angular (v16+ recommended for current boilerplate compatibility)
-   **Language:** TypeScript
-   **UI Library/Styling:** VMware Clarity Design System (Integrated via `@clr/angular`, `@clr/ui`, `@cds/core`), SCSS for custom styles.
-   **State Management:** RxJS Observables and Angular Services for managing application state and data flow.
-   **HTTP Client:** Angular's `HttpClient` for secure communication with the backend API.
-   **Routing:** Angular Router for client-side navigation.
-   **Forms:** Angular Reactive Forms for robust form validation and management.
-   **Rich-Text Editor:** A lightweight Angular-compatible rich-text editor (e.g., `ngx-quill` or `tinymce-angular`) will be integrated for note content editing (FR-004).

## Backend Technologies
-   **Language:** Python (v3.9+)
-   **Framework:** FastAPI (for building high-performance RESTful APIs)
-   **Asynchronous Support:** Async/Await using `asyncio` for non-blocking I/O operations.
-   **API:** RESTful API using FastAPI's automatic OpenAPI/Swagger UI generation.
-   **ORM/Database Toolkit:** SQLAlchemy (for database interactions) with `asyncpg` driver for async PostgreSQL connections.
-   **Authentication:** PyJWT for JSON Web Token handling; `passlib` (with `bcrypt`) for secure password hashing.
-   **Validation:** Pydantic for data validation and serialization.

## Database Technologies
-   **Primary Database:** PostgreSQL (v14+ recommended for Docker compatibility and features)
    *   **Purpose:** Relational database for persistent storage of `User` and `Note` data.
-   **Caching (Future Consideration):** Redis (for session management, token blacklisting, or general-purpose caching to improve API response times for frequently accessed data, not MVP).

## Infrastructure
-   **Containerization:** Docker (for isolating and packaging frontend, backend, and database services).
-   **Orchestration (Local Dev):** Docker Compose (for defining and running multi-container Docker applications locally).
-   **Hosting (Production Strategy):** Cloud platforms like AWS (ECS/EKS, RDS, EC2), Azure (App Service, AKS, PostgreSQL Flexible Server), or Google Cloud (Cloud Run, GKE, Cloud SQL for PostgreSQL) would be suitable for production deployment, leveraging managed services for scalability and reliability.
-   **Web Server (Frontend):** Nginx or Caddy within the Angular Docker container for serving static files in production.
-   **Web Server (Backend):** Uvicorn (ASGI server) for serving FastAPI applications.
-   **Network:** HTTPS/TLS for all communication.

## Development Tools
-   **Version Control:** Git
-   **IDE:** Visual Studio Code (with extensions for Angular, Python, Docker, PostgreSQL)
-   **Frontend CLI:** Angular CLI (for scaffolding, building, and serving the Angular application).
-   **Python Package Management:** Poetry or Pipenv (for dependency management and virtual environments).
-   **Database Migration:** Alembic (for managing database schema changes with SQLAlchemy).
-   **API Testing:** Postman, Insomnia, or built-in FastAPI Swagger UI for testing API endpoints.
-   **Frontend Testing:** Karma/Jasmine (unit testing), Cypress (E2E testing) based on Angular best practices.
-   **Backend Testing:** Pytest (for unit and integration tests).
-   **CI/CD:** GitHub Actions or GitLab CI for automated testing and deployment pipelines.



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## TECH STACK UPDATE - 2025-10-06 07:38:46


## Monitoring & Logging Tools
Generated: 2025-10-06T07:45:00Z

-   **Logging:** For centralized log management, a combination of **Prometheus Loki** (for log aggregation) and **Grafana** (for visualization and querying logs via LogQL) is recommended. This integrates well with existing Prometheus for metrics.
-   **Metrics & Dashboards:** **Prometheus** for time-series metrics collection from FastAPI (via `prometheus_client` or similar) and Angular (e.g., performance APIs), visualized through rich **Grafana** dashboards.
-   **Alerting:** **Alertmanager** (integrated with Prometheus) for routing alerts to appropriate channels (e.g., Slack, Email, PagerDuty).
-   **Tracing (Future Consideration):** **OpenTelemetry** or **Jaeger** for distributed tracing to monitor request flows across services, especially if the backend evolves into a microservices architecture.

## Future Technologies (Phase 3)
Generated: 2025-10-06T07:45:00Z

-   **Search Engine:** For implementing FR-010 (Search Notes), **PostgreSQL's built-in Full-Text Search** capabilities would be a primary candidate due to its integration with the existing database. For more advanced needs, **Elasticsearch** (with `elastic-apm` for Python) could be considered.
-   **Background Tasks:** For handling asynchronous operations (e.g., complex content processing, sending actual password reset emails for FR-003, or notification services), **Celery** with **Redis** or **RabbitMQ** as a message broker would be integrated.
-   **Cloud-Native Managed Services:** For scalability and operational ease, leveraging cloud provider's managed services for search (e.g., AWS OpenSearch Service) or messaging queues (e.g., AWS SQS/SNS, GCP Cloud Pub/Sub, Azure Service Bus) for future phases.

