调整ktor后端：取消api前缀；去除无用代码；oss对象使用临时地址返回；

ktor/build.gradle.kts

@@ -101,5 +101,6 @@ dependencies {
     // 数据库迁移
 //    implementation("org.flywaydb:flyway-core:10.13.0")
 
-    implementation("ai.koog:koog-agents:0.3.0")
+//    implementation("ai.koog:koog-agents:0.3.0")
+    implementation("io.minio:minio:8.5.17")
 }

ktor/src/main/kotlin/ink/snowflake/server/Application.kt

@@ -4,7 +4,6 @@ import com.google.gson.Gson
 import ink.snowflake.server.controller.User
 import ink.snowflake.server.controller.chat
 import ink.snowflake.server.utils.plugins.configureSockets
-import ink.snowflake.server.controller.LLM
 import ink.snowflake.server.controller.ImageAnalytics
 import ink.snowflake.server.controller.RemoteDebug
 import ink.snowflake.server.controller.VideoAnalytics
@@ -29,12 +28,6 @@ const val VIDEO_INPUT_PATH = "C:/tmp/"
  * ADB 秦朗FRP地址
  */
 const val SERVER_PATH_FRP = "s3.ronsunny.cn" // 171.212.101.201
-/**
- * 服务器地址
- * OSS 对象存储服务器地址
- */
-const val SERVER_PATH_OSS = "s1.ronsunny.cn" // 171.212.101.199
-
 val gson = Gson()
 
 fun main(args: Array<String>): Unit = EngineMain.main(args)
@@ -72,6 +65,4 @@ fun Application.module() {
     VideoAnalyticsJetson()
     // 业务-图片分析
     ImageAnalytics()
-    // 业务-AI
-    LLM()
 }

ktor/src/main/kotlin/ink/snowflake/server/controller/ImageAnalytics.kt

@@ -11,7 +11,7 @@ import io.ktor.server.response.*
 
 fun Application.ImageAnalytics() {
     routing {
-        route("/api/sca") {
+        route("/sca") {
             // 上传分析结果
             post("/saveImageAnalyticsData") {
                 val request = call.receive<ImageAnalyticsRequest>()

ktor/src/main/kotlin/ink/snowflake/server/controller/LLM.kt

@@ -1,45 +0,0 @@
-package ink.snowflake.server.controller
-
-import ai.koog.agents.core.agent.AIAgent
-import ai.koog.prompt.executor.llms.all.simpleOllamaAIExecutor
-import ai.koog.prompt.llm.LLMCapability
-import ai.koog.prompt.llm.LLMProvider
-import ai.koog.prompt.llm.LLModel
-import ink.snowflake.server.SERVER_PATH_OSS
-import ink.snowflake.server.model.response.AiListForUserResponse
-import ink.snowflake.server.model.response.BaseResponse
-import ink.snowflake.server.model.response.SessionListResponse
-import ink.snowflake.server.utils.TokenUtils.getUserIdByToken
-import ink.snowflake.server.utils.dao.AIDao
-import io.ktor.server.application.Application
-import io.ktor.server.auth.authenticate
-import io.ktor.server.response.respond
-import io.ktor.server.routing.get
-import io.ktor.server.routing.route
-import io.ktor.server.routing.routing
-import kotlinx.html.Entities
-
-fun Application.LLM() {
-
-    routing {
-        route("/api/llm") {
-//            authenticate {
-//                get("/getAiList") {
-//                    val allAIProfile = AIDao.getAllAIProfiles().map {
-//                        AiListForUserResponse(
-//                            id = it.id,
-//                            name = it.name ?: "",
-//                            welcomeWords = it.welcome_words ?: ""
-//                        )
-//                    }
-//                    call.respond(BaseResponse(data = allAIProfile))
-//                }
-//                get("/getSessions") {
-//                    val userId = getUserIdByToken(call)
-//                    val sessionList = AIDao.getSessionList(userId)
-//                    call.respond(BaseResponse(data = sessionList))
-//                }
-//            }
-        }
-    }
-}

ktor/src/main/kotlin/ink/snowflake/server/controller/RemoteDebug.kt

@@ -40,7 +40,6 @@ fun Application.RemoteDebug() {
         }
     }
     routing {
-        route("/api") {
             authenticate {
                 route("/remote") {
                     get("/connect") {
@@ -101,7 +100,6 @@ fun Application.RemoteDebug() {
                     }
                 }
         }
-        }
         webSocket("/logStream") {
             send("日志系统连接成功")
 
@@ -155,7 +153,6 @@ fun Application.RemoteDebug() {
                 clients.remove(this)
             }
         }
-
     }
 }
 

ktor/src/main/kotlin/ink/snowflake/server/controller/User.kt

@@ -38,7 +38,7 @@ import kotlin.text.Charsets.UTF_8
 // 配置和初始化 Redis 客户端
 fun setupRedis(): RedissonClient {
     val config = Config()
-    config.useSingleServer().setAddress("redis://localhost:6379")
+    config.useSingleServer().setAddress("redis://10.10.10.9:6379")
     return Redisson.create(config)
 }
 
@@ -46,7 +46,7 @@ fun Application.User(config: AppConfig) {
     // 初始化 Redis 连接
     val redisClient: RedissonClient = setupRedis()
     routing {
-        route("/api/user") {
+        route("/user") {
             post("/login") {
                 val loginRequest = call.receive<LoginRequest>()
                 val email = loginRequest.account

ktor/src/main/kotlin/ink/snowflake/server/controller/VideoAnalytics.kt

@@ -1,7 +1,7 @@
 package ink.snowflake.server.controller
 
-import ink.snowflake.server.SERVER_PATH_OSS
 import ink.snowflake.server.VIDEO_INPUT_PATH
+import ink.snowflake.server.model.database.ScaImagesTable
 import ink.snowflake.server.utils.dao.VideoDao
 import ink.snowflake.server.model.database.VideosTable
 import ink.snowflake.server.model.database.VideosTable.vAAverageMaskedRatio
@@ -15,6 +15,7 @@ import ink.snowflake.server.model.response.*
 import ink.snowflake.server.utils.CommandUtils.runCommand
 import ink.snowflake.server.utils.MyUtils
 import ink.snowflake.server.utils.MyUtils.getFriendlyActionName
+import ink.snowflake.server.utils.OSSUtils
 import ink.snowflake.server.utils.WebSocketManager.broadcastMessage
 import io.ktor.http.content.*
 import io.ktor.server.application.*
@@ -38,7 +39,7 @@ val clients = Collections.synchronizedList<WebSocketServerSession>(ArrayList())
 
 fun Application.VideoAnalytics() {
     routing {
-        route("/api/iva") {
+        route("/iva") {
             // 上传分析结果
             post("/saveVideoAnalyticsData") {
                 val request = call.receive<VideoAnalyticsRequest>()
@@ -218,7 +219,7 @@ fun Application.VideoAnalytics() {
                                 data = VideoAnalyticsDetail(
                                     v_id = vId,
                                     v_name = video[VideosTable.vName],
-                                    v_video_play_path = "http://${SERVER_PATH_OSS}:9000/video/" + video[VideosTable.vObjectName],
+                                    v_video_play_path = OSSUtils.getPresignedUrl("video",video[VideosTable.vObjectName]),
                                     v_file_name = video[VideosTable.vFileName],
                                     v_duration = video[VideosTable.vDuration],
                                     v_size = video[VideosTable.vSize],

ktor/src/main/kotlin/ink/snowflake/server/controller/VideoAnalyticsJetson.kt

@@ -26,7 +26,6 @@ fun Application.VideoAnalyticsJetson() {
         webSocket("/handleState1") {
         }
 
-        route("/api") {
             static("/camera/stream") {
 //                files("camera/stream")  // 确保 FFmpeg 输出的 HLS 片段和 m3u8 文件存放在这里
                 files(File(streamFile))
@@ -66,7 +65,6 @@ fun Application.VideoAnalyticsJetson() {
                 }
             }
     }
-    }
 
     // 确保应用退出时清理所有 FFmpeg 进程
     Runtime.getRuntime().addShutdownHook(Thread {

ktor/src/main/kotlin/ink/snowflake/server/utils/OSSUtils.kt

@@ -0,0 +1,51 @@
+package ink.snowflake.server.utils
+import io.minio.MinioClient
+import io.minio.PutObjectArgs
+import io.minio.GetPresignedObjectUrlArgs
+import io.minio.http.Method
+import java.io.InputStream
+import java.util.concurrent.TimeUnit
+
+object OSSUtils {
+
+    private val client: MinioClient = MinioClient.builder()
+        .endpoint("http://10.10.10.9:9000") // 你的MinIO地址
+        .credentials("minioadmin", "minioadmin") // 账号密码
+        .build()
+
+    /**
+     * 上传文件
+     * @param bucket 桶名
+     * @param objName 对象名（路径也放这里，例如 "images/test.png"）
+     * @param input 输入流
+     * @param size 文件大小（字节）
+     * @param contentType 文件MIME类型，比如 "image/png"
+     */
+    fun uploadFile(bucket: String, objName: String, input: InputStream, size: Long, contentType: String) {
+        client.putObject(
+            PutObjectArgs.builder()
+                .bucket(bucket)
+                .`object`(objName)
+                .stream(input, size, -1) // -1 表示不限制分片大小，MinIO自己切
+                .contentType(contentType)
+                .build()
+        )
+    }
+
+    /**
+     * 获取临时访问地址
+     * @param bucket 桶名
+     * @param objName 对象名
+     * @param expiryMinutes 过期时间，分钟
+     */
+    fun getPresignedUrl(bucket: String, objName: String, expiryMinutes: Int = 15): String {
+        return client.getPresignedObjectUrl(
+            GetPresignedObjectUrlArgs.builder()
+                .method(Method.GET)
+                .bucket(bucket)
+                .`object`(objName)
+                .expiry(expiryMinutes, TimeUnit.MINUTES)
+                .build()
+        )
+    }
+}

ktor/src/main/kotlin/ink/snowflake/server/utils/dao/ImageDao.kt

@@ -1,9 +1,9 @@
 package ink.snowflake.server.utils.dao
 
-import ink.snowflake.server.SERVER_PATH_OSS
 import ink.snowflake.server.model.request.ImageAnalyticsRequest
 import ink.snowflake.server.model.database.ScaImagesTable
 import ink.snowflake.server.utils.MyUtils.formatLocalDateTimeToString
+import ink.snowflake.server.utils.OSSUtils
 import kotlinx.datetime.toKotlinLocalDateTime
 import org.jetbrains.exposed.v1.core.SortOrder
 import org.jetbrains.exposed.v1.jdbc.insert
@@ -43,8 +43,8 @@ object ImageDao {
                         name = it[ScaImagesTable.name],
                         upload_datetime = formatLocalDateTimeToString(it[ScaImagesTable.upload_datetime]),
                         file_name = it[ScaImagesTable.file_name],
-                        image_pre = "http://${SERVER_PATH_OSS}:9000/image-sca/raw/" + it[ScaImagesTable.image_pre],
+                        image_pre = OSSUtils.getPresignedUrl("image-sca","raw/" + it[ScaImagesTable.image_pre]),
-                        image_after = "http://${SERVER_PATH_OSS}:9000/image-sca/ai/" + it[ScaImagesTable.image_after],
+                        image_after = OSSUtils.getPresignedUrl("image-sca","ai/" + it[ScaImagesTable.image_after]),
                         resolution = it[ScaImagesTable.resolution],
                         size = it[ScaImagesTable.size],
                         cocoon_count = it[ScaImagesTable.cocoon_count],