From e688c94718e72608e1bccca7db00c1ef5e56593e Mon Sep 17 00:00:00 2001 From: jango-blockchained Date: Mon, 3 Feb 2025 22:51:39 +0100 Subject: [PATCH] chore: remove .cursor directory from git tracking --- .cursor/tasks | 89 --------------------------------------------------- .gitignore | 1 + 2 files changed, 1 insertion(+), 89 deletions(-) delete mode 100644 .cursor/tasks diff --git a/.cursor/tasks b/.cursor/tasks deleted file mode 100644 index eec72b3..0000000 --- a/.cursor/tasks +++ /dev/null @@ -1,89 +0,0 @@ - -### 1. Code Quality & Structure - -- **Refactor Common Logic:** - Identify duplicated logic (e.g., in token validations, SSE error handling, and API endpoints) and extract it into shared utility functions or middleware. This will reduce errors and simplify maintenance. - -- **Improve Type Safety:** - Leverage TypeScript’s capabilities by refining interfaces and types—especially for API requests/responses and automation configurations. Consider creating more granular type definitions for advanced scenarios. - -- **Modularize and Organize Code:** - Ensure that features like device control, automation management, and SSE handling are grouped into well-defined modules. Use dependency injection where possible to decouple component implementations from their usage. - ---- - -### 2. API & Feature Enhancements - -- **Enhanced Authentication & Security:** - - Strengthen token validation by adding expiration checks and perhaps support for multiple token schemes (e.g., JWT). - - Introduce role-based access controls for varying user privileges. - - Implement rate limiting and request throttling to prevent abuse and ensure stability. - -- **SSE & Real-Time Updates:** - - Enhance the SSE system to handle reconnection strategies, backoff algorithms, and error recovery automatically. - - Consider grouping subscriptions or providing a filtering mechanism on the server side to reduce unnecessary data transfer. - -- **Logging and Monitoring:** - - Integrate structured logging (using JSON logs or a dedicated logging library) so that each endpoint, including error responses, contains detailed context. - - Link logging with performance metrics to capture slow endpoints, especially for real-time updates and automation configurations. - ---- - -### 3. Testing and Documentation - -- **Expanded Test Coverage:** - - Write additional unit tests and integration tests, particularly for edge cases in automation rules and error scenarios. - - Include tests for correct error handling in SSE, API endpoints, and when processing dynamic parameters. - -- **Live Documentation:** - - Enhance the existing README and developer guides with setup instructions and API reference details. - - Consider integrating tools (e.g., Swagger or Postman) to auto-generate interactive API documentation for easier onboarding. - ---- - -### 4. Performance Optimization - -- **Bun Runtime Optimizations:** - - Benchmark performance-critical paths (like SSE and automation processing) to identify latency or memory bottlenecks. - - Use caching strategies where possible to reduce repetitive tasks (e.g., caching SSE subscription results or frequently requested device states). - -- **Concurrent Processing:** - - Evaluate asynchronous patterns to further optimize I/O operations. Consider using job queues or background workers for tasks that could be decoupled from the main request/response cycle. - ---- - -### 5. User Experience and Interface - -- **CLI Enhancements:** - - Improve the command-line interface with clearer prompts, improved handling of invalid inputs, and built-in help texts for new users. - - Look into adding progress indicators or spinners during long-running operations (e.g., during data collection or AI analysis). - -- **Dashboard or Admin Panel:** - - Consider developing a lightweight web dashboard that visualizes device states, automation statuses, and real-time event logs—making it easier for users or admins to monitor the system. - ---- - -### 6. AI Integration Improvements - -- **Refine OpenAI Interactions:** - - Enhance error handling and retries when dealing with OpenAI API calls. Provide fallback scenarios (as already partly implemented) and clearer error messages. - - Update the prompt templates based on real usage patterns. You might even allow for user-customizable templates for different home automation scenarios. - -- **Contextual Analysis:** - - Expand the analysis functionality so that the AI can provide more context-specific recommendations. For instance, analyze and suggest improvements in automation rules, security configurations, or performance optimizations in a more granular way. - ---- - -### 7. Final Polishing and Deployment - -- **Environment Configurations:** - - Ensure that environment variables and configuration files (like `.env.example`) are thoroughly documented. - - Automate configuration checks and provide clear error logging if critical configuration values (such as tokens or host URLs) are missing. - -- **Deployment Ready:** - - Finalize Docker configurations and scripts to enable smooth containerized deployments, perhaps including orchestration hints for multi-instance or load-balanced deployments. - - Consider setting up a CI/CD pipeline to run tests, linting, and automated builds with every commit/pull request. - -- **UX/UI Finishing Touches:** - - Polish any remaining rough edges in the user interface or command output. - - Ensure consistent ANSI coloring/logging outputs and friendly error/warning messages across all user touchpoints (CLI, API, and dashboard). diff --git a/.gitignore b/.gitignore index 92affda..8e1ab22 100644 --- a/.gitignore +++ b/.gitignore @@ -78,3 +78,4 @@ coverage/ .cursor/* .bun/ +.cursor/