package com.digitalperson.config

import com.digitalperson.BuildConfig

object AppConfig {
    const val TAG = "DigitalPerson"
    const val REQUEST_RECORD_AUDIO_PERMISSION = 200
    
    const val SAMPLE_RATE = 16000
    const val WINDOW_SIZE = 512
    
    const val SHOW_DEBUG_TEXT = true
    const val USE_HOLD_TO_SPEAK = true  // true: 按住说话, false: 传统按钮
    
    object Tts {
        const val MODEL_DIR = "tts_model/sherpa-onnx-vits-zh-ll"
        const val MODEL_NAME = "model.onnx"
        const val LEXICON = "lexicon.txt"
        const val SPEAKER_ID = 2
        const val SPEED = 1.0f
        const val MAX_LEN = 30
        const val MAX_WAIT_MS: Long = 600
    }
    
    object Vad {
        const val START_THRESHOLD = 0.2f
        const val END_THRESHOLD = 0.15f
        const val MIN_SILENCE_DURATION = 0.5f
        const val MIN_SPEECH_DURATION = 0.1f
        const val MAX_SPEECH_DURATION = 5.0f
    }
    
    object Asr {
        const val MAX_TEXT_LENGTH = 50
        const val MODEL_DIR = "sensevoice_models"
    }

    object Face {
        const val MODEL_DIR = "RetinaFace"
        const val MODEL_NAME = "RetinaFace_mobile320.rknn"
        const val INPUT_SIZE = 320
        const val SCORE_THRESHOLD = 0.6f
        const val NMS_THRESHOLD = 0.4f
        const val TRACK_IOU_THRESHOLD = 0.45f
        const val STABLE_MS = 1000L
        const val FRONTAL_MIN_FACE_SIZE = 90f
        const val FRONTAL_MAX_ASPECT_DIFF = 0.35f
    }

    object FaceRecognition {
        const val MODEL_DIR = "Insightface"
        const val MODEL_NAME = "ms1mv3_arcface_r18.rknn"
        const val SIMILARITY_THRESHOLD = 0.6f
        const val GREETING_COOLDOWN_MS = 6000L
    }
    
    object Audio {
        const val GAIN_SMOOTHING_FACTOR = 0.1f
        const val TARGET_RMS = 0.1f
    }

    object Avatar {
        // Compile-time switch in gradle.properties/local.properties: USE_LIVE2D=true|false
        // const val USE_LIVE2D = BuildConfig.USE_LIVE2D
        // const val MODEL_DIR = "live2d_model/mao_pro_zh"
        // const val MODEL_JSON = "mao_pro.model3.json"
        // const val MODEL_DIR = "live2d_model/Haru_pro_jp"
        // const val MODEL_JSON = "haru_greeter_t05.model3.json"
        // 数字人类型: "live2d" 或 "unity"
        const val DIGITAL_PERSON_TYPE = "unity"
        // Live2D 配置
        const val LIVE2D_MODEL_DIR = "live2d_model/Haru_pro_jp"
        const val LIVE2D_MODEL_JSON = "haru_greeter_t05.model3.json"
        const val LIVE2D_SCALE = 1.0f
        // Unity 配置
        const val UNITY_MODEL_PATH = "asobi_chan_b"
        const val UNITY_SCALE = 1.0f
        
        // 检查是否使用Unity
        fun isUnity(): Boolean {
            return DIGITAL_PERSON_TYPE == "unity"
        }
        
        // 检查是否使用Live2D
        fun isLive2D(): Boolean {
            return DIGITAL_PERSON_TYPE == "live2d"
        }
    }

    object QCloud {
        const val APP_ID = "1302849512" // 替换为你的腾讯云APP_ID
        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
    }

    /** BGE-small-zh-v1.5 文本嵌入（RKNN），用于语义相似度 / 检索。 */
    object Bge {
        const val ASSET_DIR = "bge_models"
        const val MODEL_FILE = "bge-small-zh-v1.5.rknn"
    }

    /**
     * app/note/ref 通过 Gradle 额外 assets 目录打入 apk 后，在 assets 中的根路径为 `ref/`。
     */
    object RefCorpus {
        const val ASSETS_ROOT = "ref"
    }

    object OnboardTesting {
        // 测试人脸识别
        const val FACE_REGONITION = false
        // 测试本地大模型
        const val LOCAL_LLM_SUMMARY = false


    }
}