plugins {
    id("com.android.application")
    // The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.
    id("dev.flutter.flutter-gradle-plugin")
}

android {
    namespace = "com.example.observer"
    compileSdk = flutter.compileSdkVersion
    ndkVersion = flutter.ndkVersion

    compileOptions {
        sourceCompatibility = JavaVersion.VERSION_17
        targetCompatibility = JavaVersion.VERSION_17
    }

    defaultConfig {
        // TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).
        applicationId = "com.example.observer"
        // You can update the following values to match your application needs.
        // For more information, see: https://flutter.dev/to/review-gradle-config.
        minSdk = flutter.minSdkVersion
        targetSdk = flutter.targetSdkVersion
        versionCode = flutter.versionCode
        versionName = flutter.versionName
    }

    buildTypes {
        release {
            // TODO: Add your own signing config for the release build.
            // Signing with the debug keys for now, so `flutter run --release` works.
            signingConfig = signingConfigs.getByName("debug")
        }
    }
}

kotlin {
    compilerOptions {
        jvmTarget = org.jetbrains.kotlin.gradle.dsl.JvmTarget.JVM_17
    }
}

// 相机用 Android 框架 camera2 API 完全自研（CameraChannel.kt）：
// 预览 SurfaceTexture（Flutter 纹理）+ ImageReader 分析帧（原生侧旋转成竖屏后回传），
// 不依赖任何相机三方库（含 CameraX）。

// tflite_flutter 依赖的 tensorflow-lite / tensorflow-lite-gpu / tensorflow-lite-api 三个 AAR
// 声明了相同 namespace(org.tensorflow.lite),新 AGP 视作冲突直接报错;
// 本项目仅用 CPU 推理,GPU delegate 未使用,排除 gpu 及其传递依赖的 api 即可。
configurations.all {
    exclude(group = "org.tensorflow", module = "tensorflow-lite-gpu")
    exclude(group = "org.tensorflow", module = "tensorflow-lite-api")
}

flutter {
    source = "../.."
}