#pragma once
#include "config.hpp"
#include "inference/face_detector.hpp"

#include <algorithm>
#include <memory>
#include <string>

// ── FaceDetectorFunc ──────────────────────────────────────────────────────────
// KPN node: runs SCRFD-500MF to detect ALL faces in a frame.
//
// The inference backend (ONNX Runtime or raw TensorRT) is selected at compile
// time; this node talks only to IFaceDetector via make_face_detector(cfg).

struct FaceDetectorFunc {
    static constexpr std::string_view label() { return "face_detector"; }

    explicit FaceDetectorFunc(const Config& cfg)
        : detector_(make_face_detector(cfg))
        , max_faces_(cfg.max_faces)
        , min_face_px_(cfg.min_face_px)
    {}

    SceneFrame operator()(Frame f) {
        if (f.eof) return {std::move(f), {}};

        auto faces = detector_->detect(f.image);

        // Drop faces below minimum pixel size (too small for reliable ArcFace alignment)
        faces.erase(
            std::remove_if(faces.begin(), faces.end(), [&](const DetectedFace& d) {
                return d.bbox.width < min_face_px_ || d.bbox.height < min_face_px_;
            }),
            faces.end());

        // Sort largest-first so max_faces_ keeps the most informative detections
        std::sort(faces.begin(), faces.end(),
                  [](const DetectedFace& a, const DetectedFace& b) {
                      return a.bbox.area() > b.bbox.area();
                  });
        if (static_cast<int>(faces.size()) > max_faces_)
            faces.resize(max_faces_);

        return {std::move(f), std::move(faces)};
    }

private:
    std::unique_ptr<IFaceDetector> detector_;
    int   max_faces_{10};
    float min_face_px_{40.f};
};