export interface Landmark {
    x: number;
    y: number;
    z?: number;
}
export interface IqaMetrics {
    hasFace: boolean;
    centerDist: number;
    luminance: number;
    blur: number;
    blurDelta: number;
    faceArea: number;
    yaw: number;
    pitch: number;
    ear: number;
}
export interface IqaResult {
    state: IqaState;
    fails: IqaFailCode[];
}
export type IqaFailCode = IqaState;
export type Phase = "USER_ID" | "LOADING" | "SEARCHING" | "MORPHING" | "SCANNING" | "PREVIEW" | "CAPTURING" | "ANALYZING" | "COMPLETE" | "FAILED";
export type IqaState = "NO_FACE" | "NOT_CENTERED" | "LOW_LIGHT" | "TOO_FAR" | "TOO_CLOSE" | "BAD_POSE" | "EYES_CLOSED" | "BLURRY" | "READY";
export type ScanMode = "register" | "authenticate";
export type ResultVerdict = "ok" | "spoof" | "warn";
export type AuraExpression = "normal" | "senang" | "sedih" | "lengkungan" | "berhasil" | "gagal" | "berhasil_anticipate" | "berhasil_static" | "gagal_anticipate" | "gagal_static";
export interface AuraLayerConfig {
    id: number;
    name: string;
    hex: string;
    width: number;
    blur: number;
    w1: number;
    w2: number;
    amp1: number;
    amp2: number;
    s1: number;
    s2: number;
}
export interface AuraConfig {
    globalSpeed: number;
    baseRadiusScale: number;
    expression: AuraExpression;
    layers: AuraLayerConfig[];
}
export interface ScanSummary {
    live: number;
    spoof: number;
}
export interface ScanResult {
    verdict: ResultVerdict;
    label: string;
    summary: ScanSummary;
    detail: Record<string, number> | null;
    similarity_score?: number;
    session_id?: string;
    inference_time_ms?: number;
}
export interface LogEntry {
    id: number;
    text: string;
    kind: "ok" | "warn" | "err" | "active" | "info";
    fading?: boolean;
}
export interface FaceApiErrorPayload {
    error?: {
        code?: string;
        message?: string;
        request_id?: string | null;
        timestamp?: string | null;
        details?: {
            probabilities?: unknown[];
            confidence?: number;
            spoof_class?: string;
            similarity_score?: number;
            diagnostics?: InferenceDiagnostics | null;
        };
    };
}
export interface FaceApiSuccessPayload {
    metrics?: unknown[];
    session_id?: string;
    similarity_score?: number;
    inference_time_ms?: number;
    status?: string;
    diagnostics?: InferenceDiagnostics | null;
}
export interface InferenceDiagnostics {
    outcome: string;
    model: {
        model_id: string;
        version: string;
        supports_tta: boolean;
        used_tta: boolean;
    } | null;
    fas: {
        classes: string[];
        probabilities: number[];
        predicted_class: string;
        predicted_index: number;
        confidence: number;
        is_live: boolean;
        threshold_used: number;
        top_spoof_class: string | null;
        spoof_probability: number;
    } | null;
    embedding: {
        extracted: boolean;
        provider: string;
        dim: number | null;
        similarity_score: number | null;
        similarity_threshold: number | null;
        match: boolean | null;
    } | null;
    timings: {
        validation_ms: number;
        fas_inference_ms: number;
        embedding_extraction_ms: number;
        matching_ms: number;
        total_ms: number;
    };
    flags: {
        bypass_fas: boolean;
        ml_disabled: boolean;
        detail_mode: boolean;
    };
    request: {
        request_id: string | null;
        app_id: string;
        external_user_id: string | null;
        session_id: string | null;
        timestamp: string;
    };
    reason: string | null;
}
export interface BenchmarkModelResult {
    model_id: string;
    version: string;
    status: "completed" | "failed" | string;
    diagnostics: InferenceDiagnostics | null;
    error: string | null;
}
export interface BenchmarkApiResponse {
    request_id: string | null;
    benchmark_enabled: boolean;
    participating_models: string[];
    results: BenchmarkModelResult[];
    consensus: {
        is_live_agreement: boolean;
        predicted_class_agreement: boolean;
        mean_realperson_prob: number;
        std_realperson_prob: number;
        unique_predicted_classes: string[];
    } | null;
    timestamp: string;
}
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