Resolve infinite p5.js auto-draw loop during file processing by ensuring comprehensive UI cleanup and correct p5 instance lifecycle management (`redraw` instead of `lo`).
Introduce conditional video retention in `resetUIForNewLoad`, allowing the loaded video to persist when only new JSON data is supplied.
theme redraw
2
3 - Implemented hover tooltips in `speedGraphSketch.js` to displ
CAN/Ego speeds and timestamps.
4 - Added drag-to-seek (scrubbing) and click-to-seek functionali
using native pointer events for smooth navigation.
5 - Integrated graph seeking with centralized `updateFrame` logi
to ensure consistent video synchronization and UI updates.
6 - Refactored input handling to use DOM listeners on the canvas
resolving conflicts with global p5 events (e.g., play button
issues).
7 - Optimized `theme.js` to redraw only the static graph buffer
theme changes instead of re-processing the entire dataset.
This commit introduces a series of significant improvements to the file processing pipeline and UI update logic, resolving several critical bugs related to state management, UI freezes, and component rendering. The primary goal was to decouple UI components from strict file dependencies and ensure the application remains responsive and predictable under various file loading scenarios.
### Key Changes and Fixes:
1. **Graceful Handling of File Swapping (Fixes UI Freeze):**
- Resolved a critical bug where loading a new JSON file while a video was already present would cause the application to freeze at "Parsing JSON (100%)".
- The root cause was an incomplete state reset. The fix involves calling `resetVisualization()` at the beginning of `finalizeSetup()`, which ensures the playback timeline and animation loops are reset to a clean slate before redrawing with new data.
- This change allows users to seamlessly load and compare different JSON logs against the same video without unloading the video or freezing the application.
2. **Decoupled and Robust Speed Graph:**
- The speed graph is no longer dependent on a video file to render. It will now draw correctly as long as valid JSON data is available.
- The graph's X-axis is now consistently scaled based on the JSON data's internal duration (`finalDuration = jsonDuration`). This makes the graph's behavior predictable and ensures all data within the JSON file is always visible.
- Corrected the data source for plotting. The graph now uses the `frame.timestamp` property, which is the reliable relative time from the start of the log. This fixes a bug where the graph would appear to start late (e.g., at 220s) because it was incorrectly using `timestampMs`, a property modified by the video synchronization offset.
3. **Object URL Lifecycle Management (Memory Leak Fix):**
- Implemented proper lifecycle management for video object URLs created with `URL.createObjectURL()`.
- Before creating a new video URL, the application now checks for and revokes any existing `appState.videoObjectUrl` to prevent memory leaks from accumulating unused blob URLs.
4. **Verified Synchronization Failsafe:**
- Confirmed that the failsafe logic in `calculateAndSetOffset` is working as intended. If the automatically calculated offset between a video and JSON file exceeds a 30-second threshold, it correctly defaults to `0`, preventing extreme and incorrect synchronization when mismatched files are loaded.
This commit introduces a suite of major enhancements to the "Zoom Mode" functionality, focusing on user experience, interaction smoothness, and bug fixes. It refines the data display logic, adds interactive visual feedback, and implements a more intelligent auto-hide behavior.
#### 1. Mouse Smoothing for Zoom Navigation
To address jittery mouse movements at high magnification, a linear interpolation (lerp) filter has been implemented.
- **`radarSketch.js`**: A "smoothed" mouse coordinate is now calculated on each frame when zoom mode is active. This smoothed position is used for all zoom-related logic, including positioning the zoom window's view and detecting hovered items.
- **`drawUtils.js`**: The `handleCloseUpDisplay` function has been updated to accept the smoothed coordinates, ensuring that hover detection is perfectly synchronized with the smoothed visual feedback. This results in a much more fluid and controllable navigation experience in the zoom window.
#### 2. Dynamic and Visual Zoom Feedback
The zoom interaction has been made more intuitive with several visual aids.
- **Variable Hover Radius**: The hover detection radius is now inversely proportional to the zoom factor. This provides a larger, more forgiving selection area when zoomed out and a smaller, more precise area when zoomed in. The formula `constrain(80 / zoomFactor, 5, 25)` is used to keep the radius within a usable range.
- **Zoom Area Rectangle**: A semi-transparent, dashed red rectangle is now drawn on the main radar canvas, centered on the smoothed mouse position. This rectangle visually represents the exact area being magnified in the zoom window.
- **Debug Circle**: For tuning and visualization, a temporary purple circle is drawn on both the main radar canvas and within the zoom sketch. This circle's size dynamically matches the current hover radius, making it easy to see the selection area at any zoom level.
#### 3. Intelligent Auto-Hide with Countdown
The behavior of the zoom window when the user stops hovering over points has been significantly improved.
- **Grace Period**: A 2-second grace period has been added. When the user stops hovering, the zoom window remains active and continues to follow the mouse for 2 seconds before any closing action begins.
- **Visual Countdown**: After the grace period, a 3-second countdown is initiated. The zoom window displays a "Closing in 3... 2... 1..." message, clearly communicating its state to the user.
- **State Management**: The logic in `radarSketch.js` and `state.js` was refactored to correctly manage the delay timer (`zoomHideDelayTimeout`) and the countdown interval (`zoomCountdownInterval`), ensuring the grace period works as intended and the UI updates smoothly.
#### 4. Bug Fixes and Data Consistency
- **Data Synchronization**: Corrected a critical bug where tooltips and rendered markers were using data from different frames. All drawing and tooltip logic in `radarSketch.js`, `zoomSketch.js`, and `drawUtils.js` has been unified to use data exclusively from the `appState.currentFrame`.
- **Console Warning Fix**: Resolved a persistent `CanvasTextAlign` error in the console caused by an incorrect `textAlign(p.LEFT - 2)` call in `zoomSketch.js`.
These changes culminate in a more robust, intuitive, and polished zoom feature that is both more powerful for analysis and more pleasant to use.
This commit introduces significant improvements to the "Zoom Mode" (Close-Up Display) functionality and resolves critical data synchronization bugs related to tooltips and marker rendering.
#### 1. Interactive Zoom Enhancements
To improve user experience and provide better visual feedback during zoom operations, the following features have been added:
- **Dynamic Hover Radius:** The hover detection radius is now inversely proportional to the zoom factor (`appState.zoomFactor`). This provides a larger, more forgiving selection area when zoomed out and a smaller, more precise area when zoomed in. The formula `constrain(80 / zoomFactor, 5, 25)` is used to keep the radius within a usable range.
- **Visual Zoom Area Rectangle:** A semi-transparent, dashed red rectangle is now drawn on the main radar canvas around the mouse cursor. This rectangle visually represents the exact area being displayed in the zoom window, making it clear what is being magnified.
- **Debug Hover Circle:** For tuning and visualization purposes, a temporary purple circle is drawn around the cursor, matching the dynamic hover radius. This makes it easy to see the current size of the selection area as the user zooms in and out with the scroll wheel.
#### 2. Tooltip and Data Display Fixes
A core issue was identified where tooltips and rendered markers were using data from different frames, causing a disconnect between the visualization and the information displayed.
- **Corrected Data Source:** The logic has been unified across `radarSketch.js`, `zoomSketch.js`, and `drawUtils.js` to ensure that both the track markers (`correctedPosition`) and the predicted position markers (`predictedPosition`) are drawn using data exclusively from the `appState.currentFrame`.
- **Aligned Tooltip Information:** The `handleCloseUpDisplay` function was corrected to fetch tooltip data for all markers from the current frame's log. This ensures the connecting lines from the tooltip point to the correct markers on the screen and that the displayed coordinate data matches what is being rendered.
#### 3. Bug Fix: Console Warning
- **Resolved `CanvasTextAlign` Error:** Fixed a persistent console warning (`The provided value 'NaN' is not a valid enum value of type CanvasTextAlign`). The error was caused by an incorrect `textAlign(p.LEFT - 2)` call in `zoomSketch.js`. This has been corrected to the valid `textAlign(p.LEFT, p.TOP)`, eliminating the console spam.
These changes result in a more intuitive, accurate, and bug-free user experience when using the close-up display and inspecting track data.
**Modified Files:**
- `src/p5/radarSketch.js`
- `src/p5/zoomSketch.js`
- `src/drawUtils.js`
This commit introduces several major improvements to the "God Mode" zoom sketch, making it more intuitive and robust. It also resolves two critical race-condition bugs related to canvas resizing and initial data loading.
**Features:**
- **Automatic Zoom on Hover:** The zoom sketch now appears automatically when the user hovers over any data point (track, point cloud, etc.) and disappears after a configurable cooling-off period. This provides a more dynamic and professional user experience, allowing for quick inspection without manual toggling. The zoom window now smoothly follows the cursor during this cooling-off period.
- **Point Index in Tooltip:** The zoom sketch tooltip has been enhanced to display the index of the hovered point within its `pointCloud` array (e.g., "Point 123"). This adds valuable context for debugging and detailed data analysis.
**Bug Fixes:**
- **fix(p5):** Resolves a critical bug where the zoom sketch would go blank after the browser window was resized. This was caused by a race condition where the sketch's canvas was being resized to 0x0 before its container had updated. The fix defers the resize call and correctly destroys the old canvas, allowing it to be recreated with the proper dimensions.
- **fix(loading):** Corrects a race condition in the drag-and-drop file loading pipeline (`processFilePipeline`). The speed graph sketch will now reliably initialize on the first load, as the code now uses `Promise.all` to ensure both the JSON data is parsed and the video's metadata (duration) is available before attempting to render the visualization.
This commit introduces a major improvement to the file loading pipeline, resolving a critical race condition that occurred during fresh loads and drag-and-drop actions. Previously, the application would attempt to initialize data-dependent components (like the speed graph) and manage the loading modal simultaneously, leading to timing issues.
The core of this fix is a new, robust processFilePipeline function in main.js that implements a two-stage video loading process. This decouples data initialization from UI updates, ensuring each occurs at the correct point in the browser's file loading lifecycle.
Key Changes & Bug Fixes:
main.js: Refactored processFilePipeline
Two-Stage Video Loading: The video loading process now uses two distinct event listeners:
loadedmetadata: Fires as soon as the video's duration is known. This event now immediately triggers finalizeSetup(), ensuring that the speedGraphSketch is created with the correct time axis, fixing the blank graph bug.
canplaythrough: Fires only after the video has buffered enough for smooth playback. The resolution of the main videoReadyPromise is tied to this event, guaranteeing the loading modal is hidden at the appropriate time and resolving the "stuck modal" bug.
Explicit Data Synchronization: A final, crucial fix was added to finalizeSetup() to re-synchronize all radar frame timestamps against the video's confirmed start time. This eliminates data mismatches that previously caused NaN errors on fresh loads.
speedGraphSketch.js: Enhanced Robustness
The sketch's draw() and drawTimeIndicator() functions have been made more defensive. They now check that both videoDuration and appState.currentFrame are valid before attempting to render, preventing crashes and NaN errors if the sketch is asked to draw before all data is ready.
modal.js: Improved Loading Modal
The modal logic was updated to support a dedicated loading state with a progress bar, providing better user feedback during the file parsing and video buffering stages.
The zoom sketch canvas would turn blank after the browser window was resized.
The root cause was a race condition between the JavaScript `windowResized` event and the browser's layout rendering. The resize event was triggering the `zoomSketch` to resize its own canvas before its parent container (`#zoom-panel`) had been assigned its new, non-zero dimensions by the layout engine. This resulted in the zoom canvas being recreated with a size of 0x0 pixels.
This commit resolves the issue by:
1. In `radarSketch.js`, deferring the resize call for the zoom sketch using `setTimeout`. This pushes the execution to the end of the event loop, giving the browser time to update the container's dimensions first.
2. In `zoomSketch.js`, modifying the `handleResize` function to destroy the old, invalid canvas. The canvas is now correctly recreated with the proper dimensions on the next `updateAndDraw` call (triggered by mouse movement), making the solution robust and independent of specific timings.
Adds a new zoom panel that provides a magnified, real-time view of the area under the cursor when "Close-Up Mode" is active. This feature enhances the tool's precision for detailed data analysis.
Key features and fixes include:
- Renders a high-fidelity, vector-based redraw of the scene, not a pixelated image.
- Implemented dynamic zoom control via the mouse wheel when hovering over the main radar canvas.
- The zoom sketch is fully decoupled from the main radar sketch to ensure stability and prevent UI freezes.
- Includes a self-contained tooltip within the zoom window that correctly scales its size and text to match the zoom level.
- The tooltip's position is now smart, dynamically moving to the least cluttered quadrant to avoid obstructing data points.
- Connector lines and item highlighting are now fully functional and styled to match the main view's tooltip.
Motion state added in the persistent overlays
Body:
This commit introduces a new advanced debugging overlay to help diagnose synchronization issues and fixes three core timing bugs that caused data streams to be misaligned.
Advanced Debug Overlay:
A new "Show Advanced Debug" toggle has been added to the UI. When enabled, it displays critical synchronization diagnostics in real-time, including:
Video vs. Target Radar timestamps
The calculated "Drift" in milliseconds between the two
Absolute start times for video and radar recordings
The currently applied offset
This provides a precise tool for manually calibrating the offset and verifying sync accuracy.
Synchronization Fixes:
The previous implementation suffered from several race conditions and logical errors in its time management:
Speed Graph Misalignment: The ego speed line on the graph was plotted using raw radar timestamps, ignoring the video offset. This has been corrected to use the offset-adjusted timestampMs, aligning it with the CAN data.
Playback Drift: The main animation loop was incorrectly applying the time offset a second time during playback, causing the radar visualization to lead or lag the video. The redundant offset calculation has been removed from the animationLoop.
Seeking Inaccuracy: When scrubbing the timeline, the UI would update the CAN speed using a stale videoPlayer.currentTime value due to the asynchronous nature of video seeking. The logic in updateFrame now uses the precise, calculated target time for the update, ensuring the EGO and CAN speed indicators match perfectly during seeks.
These changes result in a significantly more robust and verifiable synchronization between the video and radar data feeds.