- Integrated NextImage for logo display in the canvas sidebar, enhancing visual consistency.
- Updated canvas name handling in the toolbar to ensure proper display and accessibility.
- Refactored sidebar layout for better responsiveness and user experience.
- Improved state management for category collapsibility in the sidebar, allowing for a more intuitive navigation experience.
- Integrated localization for slider labels and prompts in color-adjust, curves, detail-adjust, and light-adjust nodes.
- Updated preset handling to include user-friendly prompts for saving presets.
- Improved state management for slider values and preset selections, enhancing user experience.
- Added reset actions to adjustment nodes for better control over user adjustments.
- Introduced new functions for validating canvas connections, ensuring proper source and target node types.
- Updated edge and node mutation logic to enforce connection policies and improve error handling.
- Enhanced image resolution handling by integrating a new image source resolution function for better URL retrieval.
- Refactored existing validation logic to streamline connection checks and improve maintainability.
- Added fullscreen output capability for render nodes, allowing users to view images in a larger format.
- Introduced a dialog component for fullscreen image display, including a close button.
- Enhanced storage URL resolution with performance logging to identify slow queries and improve efficiency.
- Updated various queries and handlers to include performance metrics for better monitoring and debugging.
- Added support for new canvas node types: curves, color-adjust, light-adjust, detail-adjust, and render.
- Implemented validation for adjustment nodes to restrict incoming edges to one.
- Updated canvas connection validation to improve user feedback on invalid connections.
- Enhanced node creation and rendering logic to accommodate new node types and their properties.
- Refactored related components and utilities for better maintainability and performance.
- Introduced `adjustmentPresetNodeTypeValidator` for validating new adjustment preset node types.
- Added new constants for render output resolutions and formats, including custom dimension constraints.
- Implemented normalization functions for render data, ensuring proper validation and error handling.
- Updated node creation and update mutations to utilize normalized data for improved consistency.
- Added error name tracking in NodeErrorBoundary for better debugging.
- Introduced aspect ratio normalization in PromptNode to ensure valid values are used.
- Updated debounced state management in CanvasInner for improved performance.
- Enhanced SelectContent component to support optional portal rendering.
- Added a new mutation to create nodes connected to existing nodes, allowing for more dynamic interactions on the canvas.
- Updated the CanvasPlacementContext to include the new mutation, improving the workflow for node creation and edge management.
- Enhanced optimistic updates for immediate UI feedback during node and edge creation processes.
- Refactored related components to support the new connection method, streamlining user interactions.
- Added a new mutation to split edges at existing nodes, allowing for dynamic edge management during canvas interactions.
- Enhanced the logic to update node positions in a single transaction, improving user experience during edge manipulations.
- Refactored edge handling to support optimistic updates, ensuring smoother UI feedback during edge splits.
- Introduced error handling for edge and node validation to maintain data integrity during operations.
- Added a new mutation to create nodes connected to existing nodes, improving the canvas interaction model.
- Updated the CanvasPlacementContext to include createNodeConnectedFromSource, allowing for seamless node connections.
- Refactored the PromptNode component to utilize the new connection method, enhancing the workflow for AI image generation.
- Introduced optimistic updates for immediate UI feedback during node creation and connection processes.
- Added clientRequestId to various canvas components to support optimistic UI updates during node creation and manipulation.
- Updated the canvas command palette, toolbar, and node components to generate unique clientRequestIds for better tracking of user actions.
- Enhanced the canvas placement context to handle clientRequestId for improved correlation between optimistic and real node IDs.
- Refactored node duplication and creation logic to utilize clientRequestId, ensuring smoother user interactions and state management.
- Introduced the cmdk package for improved command palette capabilities.
- Enhanced the canvas placement context to support creating nodes with edge splitting, allowing for more dynamic node interactions.
- Updated the canvas inner component to utilize optimistic updates for node creation, improving user experience during interactions.
- Refactored node handling logic to incorporate new mutation types and streamline data management.
- Replaced individual node removal with a batch removal mutation to improve performance and user experience.
- Introduced optimistic UI updates to prevent flickering during node deletions.
- Enhanced edge reconnection logic to automatically handle edges associated with deleted nodes.
- Updated asset and image node components to support new metrics tracking for better diagnostics.
- Refactored node resizing logic to ensure consistent behavior during drag-and-drop operations.
- Integrated retry logic for AI image generation to handle transient errors and improve user experience.
- Updated error categorization to provide more informative feedback based on different failure scenarios.
- Enhanced node components to display retry attempts and error messages, improving visibility during image generation failures.
- Refactored canvas and node components to include retry count in status updates, ensuring accurate tracking of generation attempts.
- Added support for a new "compare" node type to facilitate side-by-side image comparisons.
- Updated AI image and prompt nodes to include aspect ratio handling for better image generation.
- Enhanced canvas toolbar to include export functionality for canvas data.
- Improved data resolution for compare nodes by resolving incoming edges and updating node data accordingly.
- Refactored frame node to support dynamic resizing and exporting capabilities.
- Introduced debounced saving for prompt node to optimize performance during user input.
- Introduced shimmer animation for loading states in AI image nodes.
- Updated prompt node to handle image generation with improved error handling and user feedback.
- Refactored AI image node to manage generation status and display loading indicators.
- Enhanced data handling in canvas components to include canvasId for better context management.
- Improved status message handling in Convex mutations for clearer user feedback.
- Added remote image patterns to the Next.js configuration for enhanced image handling.
- Updated TypeScript configuration to exclude the 'implement' directory.
- Refactored layout component to fetch initial authentication token and pass it to Providers.
- Replaced CanvasToolbar with CanvasSidebar for improved UI layout and functionality.
- Enhanced Canvas component with new drag-and-drop file upload capabilities and batch node movement.
- Updated various node components to support new status handling and improved user interactions.
- Added debounced saving for note and prompt nodes to optimize performance.
- Added new module imports for canvases, credits, edges, helpers, and nodes in api.d.ts
- Improved type safety in dataModel.d.ts by utilizing DataModelFromSchemaDefinition and DocumentByName
- Updated Doc and Id types to reflect schema definitions for better type checking
