- Introduced a new `CanvasPresetsProvider` to manage adjustment presets for nodes, enhancing state management and reducing reactivity.
- Updated storage URL resolution to utilize a mutation instead of a reactive query, improving performance and reducing unnecessary re-renders.
- Refactored adjustment nodes (color-adjust, curves, detail-adjust, light-adjust) to use the new preset context for fetching user presets.
- Improved overall canvas functionality by streamlining storage ID collection and URL resolution processes.
- 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.
- Replaced SliderRow components with ParameterSlider in color-adjust, curves, detail-adjust, and light-adjust nodes for improved user interaction.
- Updated minimum width and height configurations for adjustment nodes to accommodate new slider designs.
- Enhanced node templates and default dimensions to reflect the changes in adjustment node sizes.
- Improved state management and data handling for slider values in adjustment nodes.
- Added a fallback mechanism for resolving storage URLs in `canvas-helpers.ts`, improving reliability when URLs are not directly available.
- Introduced new utility functions in `canvas.tsx` for summarizing update and resize payloads, enhancing debugging capabilities during canvas operations.
- Updated `compare-node.tsx` to improve state management and rendering logic, allowing for better handling of incoming edges and display modes.
- Refactored `render-node.tsx` to streamline the rendering process and include detailed logging for debugging render operations.
- Updated `.gitignore` to exclude `.kilo` files, ensuring cleaner repository management.
- 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.
- Replace image upload POST with XHR progress tracking
- Keep upload state until Convex sync completes
- Pass owner userId through image generation to decrement concurrency correctly
- Implemented fullscreen output functionality for AI image and image nodes, allowing users to view images in a larger format.
- Added a dialog component for displaying images in fullscreen mode, including a close button.
- Enhanced text nodes with a rich text editor, enabling quick formatting options such as bold, italic, headings, lists, and links.
- Updated base node wrapper to support toolbar actions for both image and text nodes, improving user interaction.
- Integrated `next-intl` for toast messages and locale handling in various components, including `Providers`, `CanvasUserMenu`, and `CreditOverview`.
- Replaced hardcoded strings with translation keys to enhance localization capabilities.
- Updated `RootLayout` to dynamically set the language attribute based on the user's locale.
- Ensured consistent user feedback through localized toast messages in actions such as sign-out, canvas operations, and billing notifications.
- Introduced a new function to determine acceptable geometry for node deletion, improving synchronization checks with Convex.
- Added image dimension retrieval for uploaded files, enhancing the handling of image nodes during drag-and-drop operations.
- Updated drag-and-drop functionality to support image uploads, including error handling and user feedback for failed uploads.
- Refactored existing logic to ensure better management of optimistic node states and improve overall user experience on the canvas.
- Added functionality to block node deletion based on synchronization status with Convex, providing user feedback through toast notifications.
- Introduced helper functions to determine reasons for blocking deletions, enhancing user experience during canvas interactions.
- Updated asset node styling to improve visual consistency and adjusted minimum dimensions for asset nodes to ensure better layout management.
- Updated CanvasSidebar to accept canvasId as a prop, enabling dynamic content based on the current canvas.
- Refactored CanvasToolbar to implement a dropdown menu for adding nodes, improving usability and organization.
- Introduced new node types and updated existing ones in the node template picker for better categorization and searchability.
- Enhanced AssetNode to utilize context for asset browser interactions, streamlining asset management on the canvas.
- Improved overall layout and styling for better user experience across canvas components.
- Implemented visual feedback and cursor changes for scissors mode in dark and light themes, improving user interaction during edge manipulation.
- Updated node template picker to include new keywords for AI image generation, enhancing searchability.
- Renamed and categorized node types for clarity, including updates to asset and prompt nodes.
- Added support for video nodes and adjusted related components for improved media handling on the canvas.
- Added error classification for daily generation cap and concurrency limits in the PromptNode component, improving user feedback during AI image generation failures.
- Enhanced toast notifications to provide specific messages for daily limit and concurrent job errors.
- Introduced internal mutations in the credits module to check abuse limits and track usage, ensuring better resource management and user experience.
- Updated AI error handling logic to categorize and respond to different error types effectively.
- 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.
- Added client mount state to the dashboard to prevent premature interactions before the component is fully loaded.
- Updated button disabling logic to ensure it reflects the component's readiness and user session state.
- Introduced zIndex handling in canvas placement context for better node layering.
- Enhanced asset and image nodes with improved resizing logic to maintain aspect ratios during adjustments.
- Refactored node components to streamline rendering and improve performance during dynamic updates.
- 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.
- Added state management for asset selection to prevent multiple simultaneous selections.
- Implemented request sequence tracking to ensure accurate loading state handling during asset searches.
- Enhanced error handling and user feedback for asset loading failures.
- Updated UI elements to improve accessibility and user experience during asset browsing.
- Introduced a new "asset" node type in the canvas sidebar for better resource management.
- Updated image node components to support dynamic image dimensions and improved resizing logic.
- Enhanced prompt and AI image nodes to utilize reference images from asset nodes, improving integration and functionality.
- Refactored canvas utilities to accommodate new asset configurations and maintain consistent media handling.
- Updated multiple components to utilize useAuthQuery instead of useQuery for fetching user-related data, enhancing authentication management.
- Adjusted balance and subscription queries across various components including InitUser, ManageSubscription, PricingCards, CreditDisplay, and others to ensure consistent authentication checks.
- Improved overall code maintainability by centralizing authentication logic in the new hook.
- Added Sentry integration for error tracking across various components, including error boundaries and user actions.
- Updated global error handling to capture exceptions and provide detailed feedback to users.
- Enhanced user notifications with toast messages for actions such as credit management, image generation, and canvas exports.
- Improved user experience by displaying relevant messages during interactions, ensuring better visibility of system states and errors.
- 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.
- Integrated CreditOverview and RecentTransactions components into the dashboard for better credit visibility.
- Updated canvas toolbar to display current credit balance using CreditDisplay.
- Improved AI image and prompt nodes to show credit costs and handle credit availability checks during image generation.
- Added new queries for fetching recent transactions and monthly usage statistics to support dashboard features.
- Refactored existing code to streamline credit-related functionalities across components.
- Refactored canvas toolbar to utilize new canvas placement context for node creation.
- Updated node components (compare, group, image, note, prompt, text) to include source and target handles for better edge management.
- Improved edge intersection handling during node drag operations for enhanced user experience.
- Added utility functions for edge identification and node positioning to streamline interactions.
- Removed unused hooks and optimized edge handling in the canvas component.
- Adjusted positioning of handles in the compare node for better alignment.
- Enhanced prompt node to utilize incoming edges for dynamic prompt generation and improved user feedback.
- Updated text node to synchronize content changes with the React Flow state.
- Improved logging in edge removal to handle idempotent operations gracefully.
- 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.
- Added credit cost tracking to AI image nodes, displaying the cost in Euro-Cent.
- Updated prompt node to create edges between prompt and AI image nodes during image generation.
- Enhanced Convex action to include credit cost in image generation data handling.
- Introduced utility function for formatting Euro-Cent values for better user display.
- 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.
