#pragma once
#include "types.hpp"

#include <memory>
#include <vector>

// ── IFaceEmbedder ─────────────────────────────────────────────────────────────
// Backend-agnostic ArcFace embedder interface. The core application produces
// 512-d L2-normalised embeddings through this interface without knowing whether
// the implementation is ONNX Runtime or raw TensorRT.
//
// The concrete implementation is selected at compile time by CMake
// (SAE_INFERENCE_BACKEND): exactly one of backends/ort_backend.cpp or
// backends/trt_backend.cpp is compiled and provides make_face_embedder().

struct Config;

struct IFaceEmbedder {
    virtual ~IFaceEmbedder() = default;
    // Embed a batch of 112×112 BGR crops → one L2-normalised 512-d embedding
    // each, parallel to the input.
    virtual std::vector<Embedding> embed(const std::vector<cv::Mat>& crops) = 0;
    // Largest batch the backend accepts in a single embed() call. TRT engines
    // are capped by their build profile; ORT reports the configured batch size.
    virtual int max_batch() const = 0;

    Embedding embed_one(const cv::Mat& crop) { return embed({crop}).front(); }
};

// Construct the embedder for the compiled-in backend. Reads cfg.arcface_model,
// cfg.arcface_engine, cfg.embed_batch_size and cfg.trt.
std::unique_ptr<IFaceEmbedder> make_face_embedder(const Config& cfg);