config update

app/src/main/java/com/digitalperson/config/AppConfig.kt

@@ -73,4 +73,21 @@ object AppConfig {
         const val SECRET_ID = "AKIDbBdyBGE5oPuIGA1iDlDYlFallaJ0YODB" // 替换为你的腾讯云SECRET_ID
         const val SECRET_KEY = "32vhIl9OQIRclmLjvuleLp9LLAnFVYEp" // 替换为你的腾讯云SECRET_KEY
     }
+    
+    object LLM {
+        // 模型下载服务器地址
+        const val DOWNLOAD_SERVER = "http://192.168.1.19:5000"
+        // 下载路径
+        const val DOWNLOAD_PATH = "/download"
+        // 模型文件名
+        const val MODEL_FILE_NAME = "Qwen3-0.6B-rk3588-w8a8.rkllm"
+        // 模型存储目录
+        const val MODEL_DIR = "llm"
+        // 下载连接超时（毫秒）
+        const val DOWNLOAD_CONNECT_TIMEOUT = 600000
+        // 下载读取超时（毫秒）
+        const val DOWNLOAD_READ_TIMEOUT = 1200000
+        // 模型文件大小估计（字节）
+        const val MODEL_SIZE_ESTIMATE = 500L * 1024 * 1024 // 500MB
+    }
 }

app/src/main/java/com/digitalperson/util/FileHelper.kt

@@ -83,13 +83,13 @@ object FileHelper {
 
 //    @JvmStatic
     // 当前使用的模型文件名
-    private const val MODEL_FILE_NAME = "Qwen3-0.6B-rk3588-w8a8.rkllm"
+    private val MODEL_FILE_NAME = com.digitalperson.config.AppConfig.LLM.MODEL_FILE_NAME
     
     fun getLLMModelPath(context: Context): String {
         Log.d(TAG, "=== getLLMModelPath START ===")
 
         // 从应用内部存储目录加载模型
-        val llmDir = ensureDir(File(context.filesDir, "llm"))
+        val llmDir = ensureDir(File(context.filesDir, AppConfig.LLM.MODEL_DIR))
 
         Log.d(TAG, "Loading models from: ${llmDir.absolutePath}")
 
@@ -122,7 +122,7 @@ object FileHelper {
     ) {
         Log.d(TAG, "=== downloadModelFilesWithProgress START ===")
 
-        val llmDir = ensureDir(File(context.filesDir, "llm"))
+        val llmDir = ensureDir(File(context.filesDir, AppConfig.LLM.MODEL_DIR))
 
         // 模型文件列表 - 使用 DeepSeek-R1-Distill-Qwen-1.5B 模型
         val modelFiles = listOf(
@@ -137,19 +137,20 @@ object FileHelper {
                 var totalSize: Long = 0
 
                 // 首先计算总大小
+                val downloadUrl = AppConfig.LLM.DOWNLOAD_SERVER + AppConfig.LLM.DOWNLOAD_PATH
+                Log.i(TAG, "Using download server: ${AppConfig.LLM.DOWNLOAD_SERVER}")
+                
                 for (fileName in modelFiles) {
                     val modelFile = File(llmDir, fileName)
                     if (!modelFile.exists() || modelFile.length() == 0L) {
-                        val size = getFileSizeFromServer("http://192.168.1.19:5000/download/$fileName")
+                        val size = getFileSizeFromServer("$downloadUrl/$fileName")
                         if (size > 0) {
                             totalSize += size
                         } else {
                             // 如果无法获取文件大小，使用估计值
-                            when (fileName) {
+                            val estimatedSize = AppConfig.LLM.MODEL_SIZE_ESTIMATE
-                                MODEL_FILE_NAME -> totalSize += 1L * 1024 * 1024 * 1024 // 1.5B模型约1GB
+                            totalSize += estimatedSize
-                                else -> totalSize += 1L * 1024 * 1024 * 1024 // 1GB 默认
+                            Log.i(TAG, "Using estimated size for $fileName: ${estimatedSize / (1024*1024)} MB")
-                            }
-                            Log.i(TAG, "Using estimated size for $fileName: ${totalSize / (1024*1024)} MB")
                         }
                     }
                 }
@@ -160,7 +161,7 @@ object FileHelper {
                         Log.i(TAG, "Downloading model file: $fileName")
                         try {
                             downloadFileWithProgress(
-                                "http://192.168.1.19:5000/download/$fileName",
+                                "$downloadUrl/$fileName",
                                 modelFile
                             ) { downloaded, total ->
                                 val progress = if (totalSize > 0) {
@@ -199,8 +200,8 @@ object FileHelper {
         return try {
             val connection = java.net.URL(url).openConnection() as java.net.HttpURLConnection
             connection.requestMethod = "HEAD"
-            connection.connectTimeout = 15000
+            connection.connectTimeout = AppConfig.LLM.DOWNLOAD_CONNECT_TIMEOUT
-            connection.readTimeout = 15000
+            connection.readTimeout = AppConfig.LLM.DOWNLOAD_READ_TIMEOUT
             
             // 从响应头获取 Content-Length，避免 int 溢出
             val contentLengthStr = connection.getHeaderField("Content-Length")
@@ -245,8 +246,8 @@ object FileHelper {
         onProgress: (Long, Long) -> Unit
     ) {
         val connection = java.net.URL(url).openConnection() as java.net.HttpURLConnection
-        connection.connectTimeout = 30000
+        connection.connectTimeout = AppConfig.LLM.DOWNLOAD_CONNECT_TIMEOUT
-        connection.readTimeout = 6000000
+        connection.readTimeout = AppConfig.LLM.DOWNLOAD_READ_TIMEOUT
 
         // 从响应头获取 Content-Length，避免 int 溢出
         val contentLengthStr = connection.getHeaderField("Content-Length")
@@ -286,7 +287,7 @@ object FileHelper {
      */
     @JvmStatic
     fun isLocalLLMAvailable(context: Context): Boolean {
-        val llmDir = File(context.filesDir, "llm")
+        val llmDir = File(context.filesDir, AppConfig.LLM.MODEL_DIR)
         
         val rkllmFile = File(llmDir, MODEL_FILE_NAME)