8294e32f33
- Route bounded selection renders through the optional Vision model - Return compact text findings without retaining image data in Design chat history - Bound MCP and AI image exports by their longest pixel edge
60 lines
1.6 KiB
TypeScript
60 lines
1.6 KiB
TypeScript
import { describe, expect, test } from 'bun:test'
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import { getTool, setupToolTest } from '#tests/helpers/tools'
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type ExportImageResult = {
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width?: unknown
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height?: unknown
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scale?: unknown
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}
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function exportImageResult(value: unknown): ExportImageResult {
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return typeof value === 'object' && value !== null ? value : {}
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}
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describe('export_image tool', () => {
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test('bounds model-facing image output by its longest edge without upscaling', async () => {
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const { figma } = setupToolTest()
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const frame = figma.createFrame()
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frame.resize(2560, 1600)
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const calls: Array<{ scale?: number; format?: string }> = []
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figma.exportImage = async (_ids, options) => {
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calls.push(options)
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return new Uint8Array([1, 2, 3])
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}
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const result = exportImageResult(
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await getTool('export_image').execute(figma, {
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ids: [frame.id],
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format: 'PNG',
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scale: 2,
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maxEdge: 1280
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})
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)
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expect(calls).toEqual([{ scale: 0.5, format: 'PNG' }])
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expect(result.width).toBe(1280)
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expect(result.height).toBe(800)
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expect(result.scale).toBe(0.5)
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})
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test('keeps the requested scale when the image already fits', async () => {
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const { figma } = setupToolTest()
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const frame = figma.createFrame()
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frame.resize(640, 400)
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const calls: Array<{ scale?: number; format?: string }> = []
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figma.exportImage = async (_ids, options) => {
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calls.push(options)
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return new Uint8Array([1])
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}
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await getTool('export_image').execute(figma, {
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ids: [frame.id],
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scale: 1,
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maxEdge: 1280
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})
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expect(calls[0]?.scale).toBe(1)
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})
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})
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