import java.util.Properties
import java.io.FileInputStream

plugins {
    alias(libs.plugins.android.application)
    alias(libs.plugins.kotlin.android)
    alias(libs.plugins.compose.compiler)
    alias(libs.plugins.ksp)
}

val keysFile = rootProject.file("keys.properties")
val keys = Properties().apply {
    if (keysFile.exists()) FileInputStream(keysFile).use { load(it) }
}
fun key(name: String): String = (keys[name] as? String).orEmpty()

android {
    namespace = "com.lemon.lifelog"
    compileSdk = 35

    defaultConfig {
        applicationId = "com.lemon.lifelog"
        minSdk = 30
        targetSdk = 35
        versionCode = 1
        versionName = "0.1.0"

        ndk {
            // Pixel 8 Pro only — arm64-v8a. Drop other ABIs to keep APK ~35MB instead of ~140MB.
            abiFilters += "arm64-v8a"
        }

        buildConfigField("String", "XFYUN_APPID", "\"${key("xfyun.appid")}\"")
        buildConfigField("String", "XFYUN_API_KEY", "\"${key("xfyun.apiKey")}\"")
        buildConfigField("String", "XFYUN_API_SECRET", "\"${key("xfyun.apiSecret")}\"")
        buildConfigField("String", "XFYUN_IAT_HOST", "\"${key("xfyun.iatHost").ifEmpty { "iat.xf-yun.com" }}\"")
        buildConfigField("String", "XFYUN_IAT_PATH", "\"${key("xfyun.iatPath").ifEmpty { "/v1" }}\"")
        buildConfigField("String", "HERMES_API_URL", "\"${key("hermes.apiUrl").ifEmpty { "http://127.0.0.1:8642" }}\"")
        buildConfigField("String", "HERMES_API_KEY", "\"${key("hermes.apiKey")}\"")
        buildConfigField("String", "HERMES_MODEL", "\"${key("hermes.model").ifEmpty { "kimi-for-coding" }}\"")
    }

    packaging {
        jniLibs {
            // sherpa-onnx libs are not page-aligned for 16K page; uncompress in APK so Android 14+ can mmap.
            useLegacyPackaging = false
        }
    }

    androidResources {
        // 模型保持不压缩，sherpa-onnx / TFLite 才能直接从 assets mmap。
        noCompress.add("onnx")
        noCompress.add("tflite")
    }

    buildTypes {
        debug {
            isMinifyEnabled = false
        }
        release {
            isMinifyEnabled = false
            proguardFiles(
                getDefaultProguardFile("proguard-android-optimize.txt"),
                "proguard-rules.pro"
            )
        }
    }

    compileOptions {
        sourceCompatibility = JavaVersion.VERSION_17
        targetCompatibility = JavaVersion.VERSION_17
    }
    kotlinOptions {
        jvmTarget = "17"
    }

    buildFeatures {
        compose = true
        buildConfig = true
    }

    sourceSets {
        getByName("main").java.srcDirs("src/main/kotlin")
    }
}

dependencies {
    implementation(libs.core.ktx)
    implementation(libs.lifecycle.runtime.ktx)
    implementation(libs.lifecycle.viewmodel.ktx)
    implementation(libs.lifecycle.viewmodel.compose)
    implementation(libs.activity.compose)
    implementation(platform(libs.compose.bom))
    implementation(libs.compose.ui)
    implementation(libs.compose.ui.graphics)
    implementation(libs.compose.ui.tooling.preview)
    implementation(libs.compose.material3)
    debugImplementation(libs.compose.ui.tooling)

    implementation(libs.room.runtime)
    implementation(libs.room.ktx)
    ksp(libs.room.compiler)

    implementation(libs.work.runtime.ktx)
    implementation(libs.okhttp)
    implementation(libs.coroutines.android)

    // 人脸：ML Kit 检测+5关键点（端侧，与 sherpa 的 onnxruntime 零冲突）
    // + TFLite MobileFaceNet(ArcFace) embedding。不能用 onnxruntime-android——
    // 它和 sherpa 自带的 libonnxruntime.so(自定义符号版本)无法共存。
    implementation("com.google.mlkit:face-detection:16.1.7")
    implementation("org.tensorflow:tensorflow-lite:2.16.1")
    // EXIF：照片拍摄时间 + GPS。
    implementation("androidx.exifinterface:exifinterface:1.3.7")
    // 相册图片异步加载/缓存。
    implementation("io.coil-kt:coil-compose:2.7.0")
    // 端上解密微信 EnMicroMsg.db（SQLCipher，cipher_compatibility=1 读旧版加密库）→ 聊天本地化。
    implementation("net.zetetic:android-database-sqlcipher:4.5.4")
    implementation("androidx.sqlite:sqlite:2.4.0")
}