feat: 添加微信OCR功能并整合Hono应用程序

- 添加"hono"作为项目的依赖项。
- 添加 Dockerfile 以构建 WeChat OCR 应用程序。
- 新增hono库依赖到package.json文件。
- 将微信OCR集成替换为简单的Hono应用程序。
- 添加微信OCR功能以实现基于路径的图片文字识别。

src/index.ts

@@ -1,79 +1,7 @@
-import type { Pointer } from 'bun:ffi'
+import { Hono } from 'hono'
 
-import { CString, dlopen, FFIType, JSCallback, suffix } from 'bun:ffi'
-import { Buffer } from 'node:buffer'
+const app = new Hono()
 
-const libPath = `libwcocr.${suffix}`
+app.get('/', c => c.text('Hello World'))
 
-const WechatOCR = dlopen(libPath, {
-  wechat_ocr: {
-    args: [
-      FFIType.cstring, // ocr_exe路径
-      FFIType.cstring, // wechat_dir路径
-      FFIType.cstring, // imgfn路径
-      FFIType.function, // 回调函数指针
-    ],
-    returns: FFIType.bool, // 返回布尔值
-  },
-  stop_ocr: {
-    args: [],
-    returns: FFIType.void, // 无返回值
-  },
-})
-
-// 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,
-      },
-    )
-
-    // 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
-    )
-
-    if (!result) {
-      callback.close()
-      reject(new Error('OCR调用失败'))
-    }
-  })
-}
-
-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...')
-  }
-}
-
-// 运行主函数
-main()
+export default app

src/wcocr.ts

@@ -0,0 +1,79 @@
+import type { Pointer } from 'bun:ffi'
+
+import { CString, dlopen, FFIType, JSCallback, suffix } from 'bun:ffi'
+import { Buffer } from 'node:buffer'
+
+const libPath = `libwcocr.${suffix}`
+
+const WechatOCR = dlopen(libPath, {
+  wechat_ocr: {
+    args: [
+      FFIType.cstring, // ocr_exe路径
+      FFIType.cstring, // wechat_dir路径
+      FFIType.cstring, // imgfn路径
+      FFIType.function, // 回调函数指针
+    ],
+    returns: FFIType.bool, // 返回布尔值
+  },
+  stop_ocr: {
+    args: [],
+    returns: FFIType.void, // 无返回值
+  },
+})
+
+// 主函数
+async function callWechatOcr(
+  ocrExe: string,
+  wechatDir: string,
+  imgfn: string,
+): Promise<string> {
+  return new Promise((resolve, reject) => {
+    // 创建回调函数
+    const callback = new JSCallback(
+      (argPtr: Pointer) => {
+        const arg = new CString(argPtr).toString()
+        resolve(arg)
+        callback.close() // 释放回调
+      },
+      {
+        args: [FFIType.ptr],
+        returns: FFIType.void,
+      },
+    )
+
+    // 调用wechat_ocr函数
+    const result = WechatOCR.symbols.wechat_ocr(
+      Buffer.from(`${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
+    )
+
+    if (!result) {
+      callback.close()
+      reject(new Error('OCR调用失败'))
+    }
+  })
+}
+
+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...')
+  }
+}
+
+// 运行主函数
+main()