Steven EnamakelandGitHub 14dc860a21 Skills runtime, onboarding, deep links, and core RPC refinements (#95) ...

* feat(telegram): implement Telegram channel and attachment handling

- Added `TelegramChannel` struct for managing Telegram Bot API interactions, including user management and message handling.
- Introduced attachment parsing with `TelegramAttachment` and `TelegramAttachmentKind` to support various media types.
- Implemented functions for parsing attachment markers and validating URLs, enhancing message processing capabilities.
- Created a new module structure for Telegram, including `attachments`, `channel`, and `text` for better organization and maintainability.

* feat(skills): implement skills registry management and E2E testing

- Added functionality for fetching, searching, installing, and uninstalling skills from a remote registry.
- Introduced new modules for registry operations and types, enhancing the skills management system.
- Implemented E2E tests for skills registry interactions, ensuring robust functionality and integration.
- Updated documentation to reflect new skills registry features and usage instructions.

* refactor(coreRpcClient): remove socket RPC handling and streamline HTTP request logging

- Eliminated socket-based RPC handling to simplify the core RPC client logic.
- Updated logging to use a unified debug logger for both HTTP requests and errors.
- Improved error handling for HTTP responses to ensure clarity in error reporting.

* feat(skills): enhance skill setup handling and improve error management

- Updated SkillActionButton to directly open the setup modal for skills requiring OAuth, bypassing the QuickJS runtime.
- Enhanced SkillSetupWizard to handle OAuth configuration more effectively, ensuring smoother transitions during skill setup.
- Improved error handling during skill startup and setup processes, providing clearer logging for failures.
- Refactored skills loading logic in the Skills page to prioritize registry-based skill fetching, with fallback to runtime discovery.
- Added skill installation handling in the Skills page, allowing for better user feedback during installation processes.

* feat(deep-link): enhance OAuth handling and streamline token management

- Updated desktopDeepLinkListener to improve skill connection handling after OAuth completion.
- Introduced setSkillSetupComplete action to mark skills as connected immediately post-OAuth.
- Refactored token fetching logic to ensure encrypted tokens are stored correctly, enhancing error handling and reducing redundant checks.
- Added new permissions in default.json for improved window management capabilities.

* feat(skills): enhance skill management with global engine and runtime controllers

- Added global engine management for skill runtime access, allowing RPC handlers to interact with the runtime engine.
- Introduced new runtime controllers for skills, including start, stop, status, setup_start, list_tools, sync, and call_tool, enhancing skill lifecycle management.
- Updated schemas to include new skill controller functionalities, improving the overall skills management system.
- Enhanced documentation and comments for clarity on new features and usage.

* refactor(skills): update global engine management and enhance documentation

- Replaced OnceLock with RwLock for the global RuntimeEngine, allowing for better testability and flexibility in engine management.
- Updated the global_engine and require_engine functions to return cloned Arc references, improving usability.
- Enhanced documentation comments for clarity on the global engine's usage and behavior in production and testing scenarios.

* chore(todos): update TODO list with removal of Tauri from Rust core

- Added a new item to the TODO list indicating the need to remove Tauri from the OpenHuman Rust core, streamlining the project structure.

* feat(onboarding): revamp onboarding steps and introduce local AI model consent

- Replaced the PrivacyStep with a new ScreenPermissionsStep to handle accessibility permissions.
- Added LocalAIStep for user consent on local AI model usage and download initiation.
- Introduced SkillsStep and ToolsStep for selecting skills and enabling tools during onboarding.
- Updated onboarding state management to include local model consent, download status, and enabled tools.
- Enhanced the overall onboarding flow with new components and improved user experience.

* feat(onboarding): enhance onboarding flow with new WelcomeStep and updated LocalAIStep

- Introduced a new WelcomeStep to guide users through the onboarding process.
- Updated LocalAIStep to clarify local AI model usage and consent, including improved messaging on privacy and resource impact.
- Enhanced ScreenPermissionsStep to emphasize local processing of accessibility data.
- Adjusted total steps in onboarding to reflect the addition of the WelcomeStep, improving user experience.

* refactor(tray): remove tray integration and related functionalities

- Deleted the tray module and its associated operations, streamlining the project structure.
- Removed references to Tauri app handle in various components, transitioning to a memory client for skill data persistence.
- Updated skill instances and event loops to eliminate dependencies on tray functionalities, enhancing modularity.
- Improved documentation to reflect the removal of tray-related features and clarify the new architecture.

* feat(onboarding): introduce OnboardingOverlay and enhance onboarding flow

- Added OnboardingOverlay component to display the onboarding process as a full-screen overlay when the user is not onboarded.
- Updated the Onboarding component to include a new MnemonicStep for recovery phrase management.
- Enhanced onboarding state management to track workspace onboarding flags and user onboarding status.
- Refactored AppRoutes to streamline routing and integrate the new onboarding flow.
- Removed deprecated onboarding logic from previous steps, improving overall user experience.

* refactor(sidebar): simplify hidden paths and update ProtectedRoute tests

- Removed '/onboarding' from the hiddenPaths in MiniSidebar to streamline route visibility.
- Updated ProtectedRoute tests to reflect changes in onboarding handling, ensuring children render correctly when authenticated.

* chore: format, fix E2E lint, and onboarding step polish

Made-with: Cursor

* style(onboarding): update background color for onboarding steps

- Changed background color from black/30 to stone-900 for improved visual consistency across LocalAIStep, MnemonicStep, ScreenPermissionsStep, SkillsStep, ToolsStep, and WelcomeStep components.
- Enhanced overall aesthetics of the onboarding flow.

* fix(tests): update variable naming and comment out unused JavaScript content

- Renamed workspace variable to `_ws` to indicate it is unused in the `test_registry_cache_ttl_expired` test.
- Commented out the `js_content` variable to prevent unused variable warnings in the test setup.

* refactor(tests): streamline JSON-RPC test setup and remove unused backend URL handling

- Updated the JSON-RPC end-to-end test to always use the in-process Axum mock for backend settings, ensuring consistent test behavior.
- Removed the conditional logic for external backend URLs, simplifying the test setup.
- Ensured proper cleanup of mock join handles after test execution.

* refactor(runtime): update skill startup process to use core RPC

- Replaced the direct call to `runtimeStartSkill` with a `callCoreRpc` method for starting skills, enhancing the integration with the core RPC system.
- Updated comments to reflect the new implementation details.
- Made minor adjustments to the schema organization in Rust for better clarity on runtime controllers.

2026-03-30 14:32:18 -07:00

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json_rpc_e2e.rs

Skills runtime, onboarding, deep links, and core RPC refinements (#95)

2026-03-30 14:32:18 -07:00