feat(desktop): embed BoosAPI Desktop client as a subproject

Vendor the rebranded BoosAPI Desktop client (Tauri + Vue) into metapi as a monorepo subdirectory under desktop/. Source only — node_modules, dist, Cargo target and the upstream .git history are excluded. desktop/ keeps its own independent Cargo workspace (desktop/src-tauri with crates/*); it is not part of the backend boosapi crate, so a `cargo check` at the metapi root still compiles only the backend. Build the desktop app from desktop/src-tauri per desktop/README.md. Note: app icons are still placeholder assets pending the final BoosAPI logo. The updater signing keys live outside the repo and are not included.
2026-06-22 11:32:57 +08:00
parent d9c78ecc73
commit e0a5f57793
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+import { getMarkdown } from 'stream-markdown-parser'
+import { describe, expect, it } from 'vitest'
+
+describe('列表中的数学公式解析测试', () => {
+  it('应该正确解析列表项中的数学公式块', () => {
+    const md = getMarkdown('test')
+
+    const testContent = `
+1. 这是第一个列表项
+   \\[
+   E = mc^2
+   \\]
+
+2. 这是第二个列表项，包含付费转化率公式：
+   \\[
+   \\text{付费转化率} = \\left( \\frac{\\text{付费用户数}}{\\text{月活用户数}} \\right) \\times 100\\%
+   \\]
+
+3. 使用双美元符号的数学公式：
+   $$
+   \\frac{363}{15,\\!135} \\times 100\\% = 2.398\\%
+   $$
+`
+
+    const tokens = md.parse(testContent, {})
+
+    // 查找数学块 tokens
+    const mathBlocks = tokens.filter(token => token.type === 'math_block')
+
+    console.log('所有 tokens:')
+    tokens.forEach((token, i) => {
+      console.log(
+        `  ${i}: ${token.type} ${token.tag || ''} - ${(
+          token.content || ''
+        ).slice(0, 50)}...`,
+      )
+    })
+
+    console.log('\\n数学块详情:')
+    mathBlocks.forEach((block, i) => {
+      console.log(`  数学块 ${i + 1}:`)
+      console.log(`    内容: ${block.content}`)
+      console.log(`    标记: ${block.markup}`)
+    })
+
+    // 验证是否找到了数学块
+    expect(mathBlocks.length).toBe(3)
+    expect(mathBlocks[0].content).toContain('E = mc^2')
+    expect(mathBlocks[1].content).toContain('付费转化率')
+    expect(mathBlocks[2].content).toContain('363')
+  })
+
+  it('应该正确解析嵌套列表中的数学公式', () => {
+    const md = getMarkdown('test')
+
+    const testContent = `
+1. 第一级列表
+   - 第二级列表项
+     \\[
+     x = \\frac{-b \\pm \\sqrt{b^2 - 4ac}}{2a}
+     \\]
+   - 另一个第二级列表项
+     $$
+     \\int_0^1 x^2 dx = \\frac{1}{3}
+     $$
+
+2. 另一个第一级列表项
+   1. 有序嵌套列表
+      \\[
+      \\sum_{i=1}^n i = \\frac{n(n+1)}{2}
+      \\]
+`
+
+    const tokens = md.parse(testContent, {})
+
+    // 查找数学块 tokens
+    const mathBlocks = tokens.filter(token => token.type === 'math_block')
+
+    console.log('\\n=== 嵌套列表数学公式测试 ===')
+    console.log('数学块数量:', mathBlocks.length)
+    mathBlocks.forEach((block, i) => {
+      console.log(`数学块 ${i + 1}:`)
+      console.log(`  内容: ${block.content}`)
+      console.log(`  标记: ${block.markup}`)
+      console.log('---')
+    })
+
+    // 验证是否找到了数学块
+    expect(mathBlocks.length).toBe(3)
+    expect(mathBlocks[0].content).toContain(
+      'x = \\frac{-b \\pm \\sqrt{b^2 - 4ac}}{2a}',
+    )
+    expect(mathBlocks[1].content).toContain('\\int_0^1 x^2 dx')
+    expect(mathBlocks[2].content).toContain('\\sum_{i=1}^n i')
+  })
+})