feat: 新增 Windows 本地图片文字识别能力

This commit is contained in:
电摇小子
2026-09-16 00:23:23 +08:00
parent e6db4de711
commit 24399f1d70
23 changed files with 1984 additions and 7 deletions
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// Windows System OCR native fidelity。
//
// 这是 capability-gated 的原生冒烟测试:
// - 只有在「当前平台支持 + native 运行时可用 + 有可用 OCR 语言包」时才真正跑;
// - CI 环境无法保证 Windows OCR 语言包,所以中文识别不作为所有 CI 的硬门槛
// (mock 单元测试才是 mandatory,见 tests/unit/system-ocr-service.test.ts);
// - 在 Windows 真机上必须实际通过。
//
// fixture 全部是 synthetic 图片(tests/fixtures/ocr/*),不含任何真实聊天数据。
import { readFileSync } from 'node:fs'
import { join } from 'node:path'
import { describe, expect, it, vi } from 'vitest'
import { SYSTEM_OCR_ENGINE } from '../../src/shared/system-ocr'
vi.mock('../../src/main/image-decrypt-service', () => ({
resolveFfmpegExecutable: (): string => 'ffmpeg'
}))
import { systemOcrService } from '../../src/main/services/system-ocr-service'
const fixtureDirectory = join(__dirname, '..', 'fixtures', 'ocr')
const toDataUrl = (fileName: string, mimeType: string): string =>
`data:${mimeType};base64,${readFileSync(join(fixtureDirectory, fileName)).toString('base64')}`
/** 只比较"主要 token",避免系统字体 / 识别微差造成脆弱测试。 */
const expectContainsTokens = (text: string, tokens: string[]): void => {
const normalized = text.replace(/[\s\u3000]+/g, '').toLowerCase()
for (const token of tokens) {
expect(normalized).toContain(token.replace(/[\s\u3000]+/g, '').toLowerCase())
}
}
const capability = await systemOcrService.getCapability()
const nativeGate = capability.available ? it : it.skip
describe('Windows System OCR native fidelity', () => {
it('reports a usable capability on this machine', () => {
expect(capability.engine).toBe(SYSTEM_OCR_ENGINE)
if (!capability.available) {
console.warn(`[integration] System OCR native smoke skipped: ${capability.message}`)
}
})
nativeGate('recognizes simplified Chinese text', async () => {
const result = await systemOcrService.recognize({
imageDataUrl: toDataUrl('system-ocr-zh.png', 'image/png')
})
expect(result.success).toBe(true)
expectContainsTokens(result.text, ['TraceMemo', '本地', '文字', '识别'])
// 语言要么是探测到的语言包,要么是"跟随系统用户语言"(null)。
if (capability.language) {
expect(result.language).toBe(capability.language)
} else {
expect(result.language).toBeNull()
}
expect(result.durationMs).toBeGreaterThan(0)
})
nativeGate('recognizes English text', async () => {
const result = await systemOcrService.recognize({
imageDataUrl: toDataUrl('system-ocr-en.png', 'image/png')
})
expect(result.success).toBe(true)
expectContainsTokens(result.text, ['TraceMemo', 'System', 'OCR'])
})
nativeGate('recognizes mixed Chinese/English text', async () => {
const result = await systemOcrService.recognize({
imageDataUrl: toDataUrl('system-ocr-mixed.png', 'image/png')
})
expect(result.success).toBe(true)
expectContainsTokens(result.text, ['TraceMemo', '本地', 'OCR', '2026'])
})
/**
* 引擎的 Buffer 输入只接受 PNG,所以 JPEG 必须走本服务的归一化路径。
* 这条用例就是那个约束的回归保护。
*/
nativeGate('normalizes a JPEG source before OCR', async () => {
const result = await systemOcrService.recognize({
imageDataUrl: toDataUrl('system-ocr-mixed.jpg', 'image/jpeg')
})
expect(result.success).toBe(true)
expectContainsTokens(result.text, ['TraceMemo', 'OCR', '2026'])
})
nativeGate('caches an identical repeat request', async () => {
const request = { imageDataUrl: toDataUrl('system-ocr-mixed.png', 'image/png') }
const first = await systemOcrService.recognize(request)
const second = await systemOcrService.recognize(request)
expect(first.success).toBe(true)
expect(second.fromCache).toBe(true)
})
})