#pragma once
/// TRACES: VR-001 | PR-002
#include "types.hpp"
#include "config.hpp"
#include "gallery/embedder_stamp.hpp"

#include <H5Cpp.h>

#include <cstdint>
#include <iostream>
#include <string>
#include <vector>

// ── EmbeddingDumpFunc ─────────────────────────────────────────────────────────
// KPN sink that taps the EmbeddedSceneFrame channel and writes the per-frame face
// metadata + embeddings to one HDF5 file (schema: scripts/optimizer/SCHEMA.md).
// The dump is the expensive, parameter-independent half of the pipeline
// (decode→detect→align→embed); replaying it lets a threshold sweep re-run the cheap
// downstream nodes thousands of times with no GPU. See sae_kpn / scripts/optimizer.
//
// Accumulates in flat/ragged arrays and writes once on EOF.

struct EmbeddingDumpFunc {
    static constexpr std::string_view label() { return "embedding_dump"; }

    EmbeddingDumpFunc(const Config& cfg, std::atomic<bool>& done)
        : path_(cfg.dump_embeddings_path), movie_(cfg.movie_path),
          sample_fps_(cfg.sample_fps), done_(done)
    {
        /// TRACES: GR-004 | SR-001
        // A dump is a bag of embeddings with no model attached, replayed against a
        // gallery hours or weeks later — the same silent cross-model hazard as the
        // gallery itself, so it carries the same stamp.
        stamp_ = make_embedder_stamp(cfg.arcface_model);
        std::cerr << "[embedding_dump] writing " << path_
                  << "  embedder: " << stamp_.describe() << "\n";
    }

    void operator()(EmbeddedSceneFrame ef) {
        if (ef.source.eof) { flush(); return; }

        const int32_t n = static_cast<int32_t>(ef.faces.size());
        ts_.push_back(ef.source.timestamp_sec);
        fidx_.push_back(ef.source.frame_idx);
        is_cut_.push_back(ef.source.is_cut ? 1 : 0);
        is_bnd_.push_back(ef.source.is_scene_boundary ? 1 : 0);
        face_off_.push_back(static_cast<int64_t>(conf_.size()));
        face_cnt_.push_back(n);

        for (int i = 0; i < n; ++i) {
            const auto& f = ef.faces[i];
            bbox_.insert(bbox_.end(), {f.bbox.x, f.bbox.y, f.bbox.width, f.bbox.height});
            for (int k = 0; k < 5; ++k) {
                lmk_.push_back(f.landmarks[k].x);
                lmk_.push_back(f.landmarks[k].y);
            }
            conf_.push_back(f.confidence);
            const auto& e = ef.embeddings[i];
            emb_.insert(emb_.end(), e.begin(), e.end());
        }
    }

    void flush() {
        if (written_.exchange(true)) return;
        try {
            write_hdf5();
        } catch (const H5::Exception& e) {
            std::cerr << "[embedding_dump] HDF5 error: " << e.getDetailMsg() << "\n";
        }
        done_.store(true, std::memory_order_release);
    }

private:
    static constexpr int kSchemaVersion = 1;
    static constexpr int kEmbedDim = 512;

    template<typename T>
    void write_vec(H5::Group& g, const char* name, const std::vector<T>& v,
                   const H5::PredType& dtype, hsize_t cols = 0) {
        hsize_t rows = cols ? v.size() / cols : v.size();
        std::vector<hsize_t> dims = cols ? std::vector<hsize_t>{rows, cols}
                                         : std::vector<hsize_t>{rows};
        H5::DataSpace space(static_cast<int>(dims.size()), dims.data());
        auto ds = g.createDataSet(name, dtype, space);
        if (!v.empty()) ds.write(v.data(), dtype);
    }

    void write_hdf5() {
        H5::H5File file(path_, H5F_ACC_TRUNC);

        // root attrs
        auto scalar = H5::DataSpace(H5S_SCALAR);
        auto ver = file.createAttribute("schema_version", H5::PredType::NATIVE_INT, scalar);
        int sv = kSchemaVersion; ver.write(H5::PredType::NATIVE_INT, &sv);
        auto ed = file.createAttribute("embed_dim", H5::PredType::NATIVE_INT, scalar);
        int dim = kEmbedDim; ed.write(H5::PredType::NATIVE_INT, &dim);
        auto fps = file.createAttribute("sample_fps", H5::PredType::NATIVE_FLOAT, scalar);
        fps.write(H5::PredType::NATIVE_FLOAT, &sample_fps_);
        H5::StrType str(H5::PredType::C_S1, H5T_VARIABLE);
        auto mv = file.createAttribute("movie", str, scalar);
        mv.write(str, movie_);
        /// TRACES: GR-004 | SR-001
        file.createAttribute("embedder_model", str, scalar).write(str, stamp_.model_name);
        file.createAttribute("embedder_sha256", str, scalar).write(str, stamp_.model_sha256);

        H5::Group frames = file.createGroup("frames");
        write_vec(frames, "timestamp_sec", ts_,      H5::PredType::NATIVE_DOUBLE);
        write_vec(frames, "frame_idx",     fidx_,    H5::PredType::NATIVE_INT64);
        write_vec(frames, "is_cut",        is_cut_,  H5::PredType::NATIVE_UINT8);
        write_vec(frames, "is_scene_boundary", is_bnd_, H5::PredType::NATIVE_UINT8);
        write_vec(frames, "face_offset",   face_off_, H5::PredType::NATIVE_INT64);
        write_vec(frames, "face_count",    face_cnt_, H5::PredType::NATIVE_INT32);

        H5::Group faces = file.createGroup("faces");
        write_vec(faces, "embedding",  emb_,  H5::PredType::NATIVE_FLOAT, kEmbedDim);
        write_vec(faces, "bbox",       bbox_, H5::PredType::NATIVE_FLOAT, 4);
        write_vec(faces, "landmarks",  lmk_,  H5::PredType::NATIVE_FLOAT, 10);
        write_vec(faces, "confidence", conf_, H5::PredType::NATIVE_FLOAT);

        std::cerr << "[embedding_dump] wrote " << ts_.size() << " frames, "
                  << conf_.size() << " faces → " << path_ << "\n";
    }

    std::string   path_, movie_;
    EmbedderStamp stamp_;
    float sample_fps_;
    std::atomic<bool>& done_;
    std::atomic<bool>  written_{false};

    std::vector<double>  ts_;
    std::vector<int64_t> fidx_;
    std::vector<uint8_t> is_cut_, is_bnd_;
    std::vector<int64_t> face_off_;
    std::vector<int32_t> face_cnt_;
    std::vector<float>   emb_, bbox_, lmk_, conf_;
};