feat: 添加OCR识别功能及镜像优化

- 变更基础镜像阶段为运行阶段，同时添加微信二进制包，复制项目文件并安装依赖。
- 添加处理OCR请求的端点以识别上传图像中的文本。
- 将OCR功能封装到WechatOCRClient类中并添加临时文件处理逻辑。

Dockerfile

@@ -1,18 +1,17 @@
-# FROM greyltc/archlinux-aur:yay AS lib
-# WORKDIR /src
-# RUN yay -Syu --noconfirm cmake python nodejs && \
-#     git clone https://github.com/swigger/wechat-ocr.git wcocr && \
-#     sed -i 's/v3.21.0/v3.21.2/g' wcocr/CMakeLists.txt && \
-#     mkdir -p wcocr/build && cd wcocr/build && cmake .. && make -j$(nproc)
+FROM archlinux:base-devel AS lib
+WORKDIR /src
+RUN pacman -Syu --noconfirm cmake python nodejs && \
+    git clone https://github.com/swigger/wechat-ocr.git wcocr && \
+    sed -i 's/v3.21.0/v3.21.2/g' wcocr/CMakeLists.txt && \
+    mkdir -p wcocr/build && cd wcocr/build && cmake .. && make -j$(nproc)
 
-FROM greyltc/archlinux-aur:yay
+FROM greyltc/archlinux-aur:yay AS runner
 WORKDIR /app
-RUN aur-install bun-bin wechat-bin && \
-    echo "Hello World"
-# COPY --from=lib /src/wcocr/build/libwcocr.so .
-# COPY src/index.ts .
-# RUN bun install hono
+RUN aur-install bun-bin wechat-bin
+COPY . .
+COPY --from=lib /src/wcocr/build/libwcocr.so .
+RUN bun install --frozen-lockfile
 
-# EXPOSE 3000
+EXPOSE 3000
 
-# CMD ["bun", "src/index.ts"]
+CMD ["bun", "src/index.ts"]

src/index.ts

@@ -1,7 +1,28 @@
 import { Hono } from 'hono'
+import { Buffer } from 'node:buffer'
+
+import { WechatOCRClient } from './wcocr'
 
 const app = new Hono()
+const client = new WechatOCRClient()
 
-app.get('/', c => c.text('Hello World'))
+app.post('/ocr', async (c) => {
+  const formData = await c.req.formData()
+  const imageFile = formData.get('image')
+
+  if (!imageFile || typeof imageFile === 'string') {
+    return c.json({ error: 'Image file is required' }, 400)
+  }
+
+  const imageBuffer = Buffer.from(await imageFile.arrayBuffer())
+
+  try {
+    const result = await client.recognize(imageBuffer)
+    return c.json(JSON.parse(result))
+  } catch (error) {
+    console.error('OCR processing error:', error)
+    return c.json({ error: 'Failed to process image' }, 500)
+  }
+})
 
 export default app

src/wcocr.ts

@@ -2,10 +2,14 @@ import type { Pointer } from 'bun:ffi'
 
 import { CString, dlopen, FFIType, JSCallback, suffix } from 'bun:ffi'
 import { Buffer } from 'node:buffer'
+import { randomBytes } from 'node:crypto'
+import { rm, writeFile } from 'node:fs/promises'
+import { tmpdir } from 'node:os'
+import { join } from 'node:path'
 
 const libPath = `libwcocr.${suffix}`
 
-const WechatOCR = dlopen(libPath, {
+const WechatOCRFFI = dlopen(libPath, {
   wechat_ocr: {
     args: [
       FFIType.cstring, // ocr_exe路径
@@ -21,59 +25,59 @@ const WechatOCR = dlopen(libPath, {
   },
 })
 
-// 主函数
-async function callWechatOcr(
-  ocrExe: string,
-  wechatDir: string,
-  imgfn: string,
-): Promise<string> {
-  return new Promise((resolve, reject) => {
-    // 创建回调函数
-    const callback = new JSCallback(
-      (argPtr: Pointer) => {
-        const arg = new CString(argPtr).toString()
-        resolve(arg)
-        callback.close() // 释放回调
-      },
-      {
-        args: [FFIType.ptr],
-        returns: FFIType.void,
-      },
-    )
+export class WechatOCRClient {
+  private ocrExe: string
+  private wechatDir: string
 
-    // 调用wechat_ocr函数
-    const result = WechatOCR.symbols.wechat_ocr(
-      Buffer.from(`${ocrExe}\0`), // 转换为C字符串
-      Buffer.from(`${wechatDir}\0`),
-      Buffer.from(`${imgfn}\0`),
-      callback, // 直接传递JSCallback实例
-    )
+  constructor(options?: { ocrExe?: string, wechatDir?: string }) {
+    this.ocrExe = options?.ocrExe ?? '/opt/wechat/wxocr'
+    this.wechatDir = options?.wechatDir ?? '/opt/wechat'
+  }
 
-    if (!result) {
-      callback.close()
-      reject(new Error('OCR调用失败'))
+  private async _callWechatOcr(imgfn: string): Promise<string> {
+    return new Promise((resolve, reject) => {
+      // 创建回调函数
+      const callback = new JSCallback(
+        (argPtr: Pointer) => {
+          const arg = new CString(argPtr).toString()
+          resolve(arg)
+          callback.close() // 释放回调
+        },
+        {
+          args: [FFIType.ptr],
+          returns: FFIType.void,
+        },
+      )
+
+      // 调用wechat_ocr函数
+      const result = WechatOCRFFI.symbols.wechat_ocr(
+        Buffer.from(`${this.ocrExe}\0`), // 转换为C字符串
+        Buffer.from(`${this.wechatDir}\0`),
+        Buffer.from(`${imgfn}\0`),
+        callback, // 直接传递JSCallback实例
+      )
+
+      if (!result) {
+        callback.close()
+        reject(new Error('OCR call failed'))
+      }
+    })
+  }
+
+  public async recognize(image: Buffer): Promise<string> {
+    const tempPath = join(tmpdir(), `wechat-ocr-temp-${randomBytes(16).toString('hex')}.png`)
+    await writeFile(tempPath, image)
+
+    try {
+      const result = await this._callWechatOcr(tempPath)
+      return result
+    } finally {
+      await rm(tempPath, { force: true })
     }
-  })
-}
+  }
 
-async function main() {
-  // 请在这里替换为你的实际路径
-  const ocrExe = '/opt/wechat/wxocr'
-  const wechatDir = '/opt/wechat'
-  const imgfn = '/home/imbytecat/Pictures/Screenshots/Screenshot_07-Jul_10-00-20_9907.png'
-
-  console.log('OCR开始...')
-  try {
-    const result = await callWechatOcr(ocrExe, wechatDir, imgfn)
-    console.log('OCR结果:', result)
-  } catch (error) {
-    console.error('OCR错误:', error)
-  } finally {
-    // 清理资源
-    WechatOCR.symbols.stop_ocr()
-    console.log('OCR结束...')
+  public close() {
+    WechatOCRFFI.symbols.stop_ocr()
+    console.log('OCR resources cleaned up.')
   }
 }
-
-// 运行主函数
-main()