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2 changes: 1 addition & 1 deletion .github/workflows/test.yml
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ jobs:

strategy:
matrix:
node-version: [14.x, 16.x, 18.x]
node-version: [18.x]

steps:
- uses: actions/checkout@v3
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152 changes: 97 additions & 55 deletions README.md
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@@ -1,83 +1,125 @@
# far-canvas
# Far Canvas

## install
Render 2D canvas content at large coordinates with ease.

```bash
npm install @nextml/far-canvas
## The problem

When rendering 2D canvas content at large coordinates, you may experience issues with precision. For example, drawing a horizontal line from `(100_000_000, 0.5)` to `(100_000_001, 0.5)` may render a diagonal line, or no line at all.

## The solution

Far Canvas is a wrapper around the HTML5 2D canvas API that avoids precision issues at large coordinates.

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Now that only {x, y, scale} supports big values and not transform it has to be super clear and kinda early that it's the case. Not sure where to put it

## NEW: Transform Support

Far Canvas now supports all Canvas 2D transform operations! When running in a modern browser or environment with full Canvas 2D support, far-canvas will automatically use a Transform-Aware implementation that:

- ✅ Supports `translate()`, `rotate()`, `scale()`, `transform()`, `setTransform()`, and `resetTransform()`
- ✅ Supports `getTransform()` to retrieve the current transformation matrix
- ✅ Leverages hardware-accelerated native Canvas transforms for better performance
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mention of hardware-accelerated transforms might be a bit misleading here

- ✅ Maintains the same precision guarantees for large coordinates
- ✅ Falls back gracefully to coordinate transformation when transforms aren't available

```javascript
import { far } from "@nextml/far-canvas";

const canvas = document.getElementById("myCanvas");
const ctx = far(canvas, {
x: 100_000_000, // Render with huge coordinate offset
y: 100_000_000,
scale: 2,
}).getContext("2d");

// All transform operations now work!
ctx.save();
ctx.translate(50, 50);
ctx.rotate(Math.PI / 4);
ctx.scale(1.5, 1.5);
ctx.fillRect(-25, -25, 50, 50);
ctx.restore();

// Draw at world coordinates - far-canvas handles the offset
ctx.fillStyle = "red";
ctx.fillRect(100_000_000, 100_000_000, 100, 100);
```

## motivation
## Quick Start

For example: translated `100'000'000px` away from the center (and a scaling of 1.5) and rendering the objects that far away:
```javascript
import { far } from "@nextml/far-canvas";

### vanilla canvas exapmle at 0px translation
const canvas = document.getElementById("myCanvas");

<img
src="static/reference-canvas.png"
alt="vanilla canvas example"
title="Vanilla Canvas Example"
style="display: inline-block; margin: 0 auto;">
const myFarCanvas = far(canvas, {
x: 100_000_000,
y: 0,
scale: 2,
});

### vanilla canvas example at 100Mpx translation
const context = myFarCanvas.getContext("2d");

<img
src="static/vanilla-canvas.png"
alt="vanilla canvas example"
title="Vanilla Canvas Example"
style="display: inline-block; margin: 0 auto;">
// This will be a horizontal line!
context.strokeStyle = "red";
context.beginPath();
context.moveTo(100_000_000, 0.5);
context.lineTo(100_000_001, 0.5);
context.stroke();
```

### far canvas example at 100Mpx translation
## Install

<img
src="static/far-canvas.png"
alt="far canvas example"
title="Far Canvas Example"
style="display: inline-block; margin: 0 auto;">
`npm install @nextml/far-canvas`

1. Images, rectangles and lines are all missaligned.
2. `lineWidth=8px` is not rendered correctly.
## Usage

## usage
### `far( canvas: HTMLCanvasElement, options?: FarCanvasOptions ): FarCanvas`

### Node
Creates a far canvas instance. Options are:

```javascript
const { far } = require("../lib.cjs/index.js");
- `x`: The x offset to apply to all drawing operations (default: 0)
- `y`: The y offset to apply to all drawing operations (default: 0)
- `scale`: The scale to apply to all drawing operations (default: 1)

const farAway = 100000000;
const context = far(canvas, {y: -farAway, scale: 2}).getContext("2d");
### `FarCanvas`

context.clearCanvas();
context.fillRect(32, farAway + 16, 128, 128);
The far canvas instance has a single method:

context.canvas; // underlying canvas for which the default unit is pixels
context.s; // coordinate system
context.s.inv; // inverse coordinate system
- `getContext( '2d' )`: Returns a `FarCanvasRenderingContext2D`

...
```
### `FarCanvasRenderingContext2D`

### Web
The far canvas rendering context implements the full [`CanvasRenderingContext2D`](https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D) interface, with the following additions:

```javascript
const canvas = document.getElementById('far');
- `clearCanvas()`: Clears the entire canvas (ignoring any transforms)
- `canvasDimensions`: Returns the dimensions of the canvas in the far coordinate system

const farAway = 100000000;
const context = far.far(canvas, {y: -farAway, scale: 2}).getContext("2d");
When transform support is available (modern browsers), all transform methods work as expected. In fallback mode, the following methods will throw an error:

...
```
- `translate()`, `rotate()`, `scale()`, `transform()`, `setTransform()`, `resetTransform()`, `getTransform()`

## development
## How it works

### run example
Far Canvas uses two approaches depending on the environment:

```bash
npm run example
```
### Transform-Aware Mode (when `setTransform` is available)

### update version
Uses Canvas 2D's native transform matrix to efficiently handle large coordinate offsets:

```bash
npm version patch | minor | major
```
- Applies a hybrid approach: coordinate transformation for far-canvas offset, native transforms for user operations
- All drawing operations transform coordinates in JavaScript to avoid precision issues
- Leverages hardware acceleration for user transforms when available
- Supports all transform operations seamlessly

### Fallback Mode (when transforms aren't supported)

Falls back to coordinate transformation:

- Intercepts all drawing calls and transforms coordinates before passing to the underlying context
- Ensures compatibility with older browsers or limited Canvas implementations
- Transform operations are not supported in this mode

The appropriate mode is automatically selected based on feature detection.

## License

Apache-2.0
197 changes: 197 additions & 0 deletions docs/BROWSER_TESTING.md
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# Browser Testing Methodology for Far-Canvas

## Overview

This document describes the reliable automated testing approach developed for testing far-canvas rendering consistency between near and far focus in browser environments.

## Problem Statement

Initial attempts to test far-canvas using Puppeteer screenshots revealed significant challenges:

- Screenshot-based comparisons produced hundreds of mismatched pixels even for identical vanilla canvas renders
- Visual differences were inconsistent and unreliable for automated testing
- Manual inspection was required, defeating the purpose of automation

## Solution: Canvas.toDataURL() Comparison

We developed a robust testing methodology using `canvas.toDataURL()` for pixel-perfect comparison of canvas rendering output.

### Key Advantages

1. **Zero False Positives**: Identical canvas draws produce identical DataURLs
2. **Reliable Detection**: Clearly identifies actual rendering differences
3. **Automated Execution**: No manual intervention required
4. **Precise Measurement**: Exact byte-level comparison of canvas output
5. **Debugging Artifacts**: Automatically saves images when differences are detected

## Implementation

### Test Structure

The testing framework consists of:

1. **Browser Test Page** (`example/browser-test.html`): Contains test cases that run in the browser
2. **Puppeteer Test Script** (`test/browser-visual-consistency.test.js`): Orchestrates test execution and validation
3. **HTTP Server**: Serves the test page and far-canvas library to the browser

### Test Cases

#### Vanilla Canvas Sanity Check

```javascript
{
name: "Vanilla Canvas Data URL Sanity Check",
description: "Draws identical simple scenes on vanilla canvas and compares using canvas.toDataURL().",
run: (canvas, params) => {
const ctx = canvas.getContext('2d');

const drawScene = () => {
ctx.fillStyle = 'white';
ctx.fillRect(0, 0, canvas.width, canvas.height);
ctx.fillStyle = 'red';
ctx.fillRect(10, 10, 50, 30);
};

// Draw scene 1
drawScene();
const dataURL1 = canvas.toDataURL();

// Clear and draw scene 2 (identical)
ctx.clearRect(0, 0, canvas.width, canvas.height);
drawScene();
const dataURL2 = canvas.toDataURL();

// Compare data URLs
const identical = dataURL1 === dataURL2;

return {
pass: identical,
details: `DataURL comparison: ${identical ? 'IDENTICAL' : 'DIFFERENT'}`
};
}
}
```

#### Far-Canvas Consistency Test

```javascript
{
name: "Far-Canvas Data URL Comparison",
description: "Tests far-canvas rendering consistency between near and far focus using canvas.toDataURL().",
run: (canvas, params) => {
const FOCUS_NEAR = 5000;
const FOCUS_FAR = 500000000;

const drawTestScene = (ctx, focus) => {
ctx.clearCanvas();
// Draw test elements (rectangle, line, text)
// ...
};

// Test near focus
const ctxNear = far(canvas, { x: params.x, y: FOCUS_NEAR, scale: params.scale }).getContext('2d');
drawTestScene(ctxNear, FOCUS_NEAR);
const dataURLNear = canvas.toDataURL();

// Test far focus
const ctxFar = far(canvas, { x: params.x, y: FOCUS_FAR, scale: params.scale }).getContext('2d');
drawTestScene(ctxFar, FOCUS_FAR);
const dataURLFar = canvas.toDataURL();

// Compare
const identical = dataURLNear === dataURLFar;

return {
pass: identical,
details: `Near vs Far focus rendering: ${identical ? 'IDENTICAL' : 'DIFFERENT'}`
};
}
}
```

### Puppeteer Integration

The Puppeteer script:

1. Starts an HTTP server to serve test files
2. Launches a browser and navigates to the test page
3. Executes specific test cases
4. Retrieves DataURL comparison results from the browser
5. Saves debugging artifacts (images, DataURLs) when tests fail
6. Performs Jest assertions on the results

```javascript
// Get the test results
const testResults = await page.evaluate(() => window.farCanvasDataURLTest);

console.log(`Near focus DataURL length: ${testResults.lengthNear}`);
console.log(`Far focus DataURL length: ${testResults.lengthFar}`);
console.log(`DataURLs identical: ${testResults.identical}`);

// Save debugging artifacts if different
if (!testResults.identical) {
// Save DataURLs as text files
fs.writeFileSync("far_canvas_near_focus.txt", testResults.dataURLNear);
fs.writeFileSync("far_canvas_far_focus.txt", testResults.dataURLFar);

// Save as PNG images for visual inspection
const base64DataNear = testResults.dataURLNear.replace(
/^data:image\/png;base64,/,
""
);
const base64DataFar = testResults.dataURLFar.replace(
/^data:image\/png;base64,/,
""
);

fs.writeFileSync("far_canvas_near_focus.png", base64DataNear, "base64");
fs.writeFileSync("far_canvas_far_focus.png", base64DataFar, "base64");
}

// Assert identical rendering
expect(testResults.identical).toBe(true);
```

## Test Results

### Validation Results

- **Vanilla Canvas Sanity Check**: ✅ PASSED (DataURLs identical: true)
- **Far-Canvas Consistency Test**: ❌ FAILED (DataURLs identical: false)
- Near focus (5000) DataURL length: 3890
- Far focus (500000000) DataURL length: 1694

### Debugging Artifacts

When tests fail, the following files are automatically generated:

- `far_canvas_near_focus.png` - Visual output at near focus
- `far_canvas_far_focus.png` - Visual output at far focus
- `far_canvas_near_focus.txt` - Complete DataURL for near focus
- `far_canvas_far_focus.txt` - Complete DataURL for far focus

## Running Tests

```bash
# Run the browser consistency test
npm test test/browser-visual-consistency.test.js
```

## Benefits

1. **Deterministic**: Same input always produces same output
2. **Sensitive**: Detects even minor rendering differences
3. **Fast**: No image processing or pixel comparison needed
4. **Debuggable**: Provides clear artifacts for investigation
5. **Maintainable**: Simple string comparison logic

## Future Enhancements

- Add tests for individual rendering primitives (rectangles, lines, text separately)
- Test different scale factors and focus distances
- Add performance benchmarking
- Integrate with CI/CD pipeline for regression detection

## Conclusion

The `canvas.toDataURL()` methodology provides a robust, reliable foundation for automated testing of canvas rendering consistency. It eliminates the noise and unreliability of screenshot-based approaches while providing precise, actionable results for debugging rendering issues.
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