embed.js

// ─── Embed SVG Generator ─────────────────────────────────────────────────────
//
// Extracted module. Call initEmbed(deps) from the main app once globals are
// ready.  Returns { showEmbedModal }.

// eslint-disable-next-line no-unused-vars
function initEmbed(deps) {

const {
    config, filters, activeFamilyKey, getActiveModelSet,
    getData, MODEL_COL, FAMILY_COL, GROUP_BY, CHART_CFG,
    MODEL_COLORS, MODEL_SHORT, isOOMRow, isExternalModel,
    sortModels, parseModelSize,
} = deps;

let embedModal = null;
let cachedCommitHash = null;

const HF_DOCS_REPO = "embedl/documentation-images";
const HF_SVG_FOLDER = "Edge-Inference-Benchmarks";
const HF_SPACES_REPO = "embedl/Edge-Inference-Benchmarks";
const HF_SPACES_URL = "https://huggingface.co/spaces/" + HF_SPACES_REPO;

async function loadCommitHash() {
    if (cachedCommitHash) return cachedCommitHash;
    try {
        const resp = await fetch("https://huggingface.co/api/spaces/" + HF_SPACES_REPO);
        if (resp.ok) {
            const data = await resp.json();
            cachedCommitHash = data.sha ? data.sha.substring(0, 7) : null;
        }
    } catch {}
    return cachedCommitHash;
}

function embedFamilyKey() {
    return filters.variant || activeFamilyKey();
}

function embedFileName() {
    return embedFamilyKey() + "__" + filters[GROUP_BY] + ".svg";
}

function getEmbedChartData() {
    const familyCfg = config.model_families?.[activeFamilyKey()] || {};
    const chartCfg = familyCfg.chart || CHART_CFG;
    const scenarios = chartCfg.scenarios || [];
    const metricCol = filters.metric;
    const metricCfg = config.metrics.find(m => m.column === metricCol) || {};
    const groupFilterCfg = config.filters.find(f => f.column === GROUP_BY);
    const groupVal = filters[GROUP_BY];

    if (groupVal === "all") return null;

    const groupLabel = groupFilterCfg?.value_labels?.[groupVal] || String(groupVal);
    const familyModels = getActiveModelSet();
    const filtered = getData().filter(r => {
        if (!familyModels.has(r[MODEL_COL])) return false;
        for (const f of config.filters) {
            const fv = filters[f.column];
            if (fv === "all" || fv === "" || fv === undefined) continue;
            if (String(r[f.column]) !== String(fv)) return false;
        }
        return true;
    });

    const gRows = filtered.filter(r => String(r[GROUP_BY]) === String(groupVal));
    if (!gRows.length) return null;

    const uniqueModels = new Set(gRows.map(r => r[MODEL_COL]));
    if (uniqueModels.size <= 1) return null;

    const scenarioList = scenarios.length ? scenarios : [{ label: "", match: {} }];

    // Find first scenario that produces data (mirrors buildChart logic)
    let scenario = null;
    let picked = [];
    for (const sc of scenarioList) {
        const matchRows = gRows.filter(r =>
            Object.entries(sc.match || {}).every(([col, val]) =>
                String(r[col]) === String(val)
            )
        );
        const matchedModels = new Set(matchRows.map(r => r[MODEL_COL]));
        const oomRows = gRows.filter(r => !matchedModels.has(r[MODEL_COL]) && isOOMRow(r)
            && Object.entries(sc.match || {}).every(([col, val]) =>
                r[col] === null || r[col] === "" || r[col] === "OOM" || String(r[col]) === String(val)
            )
        );
        const allRows = matchRows.concat(oomRows);
        const models = sortModels([...new Set(allRows.map(r => r[MODEL_COL]))]);
        const candidates = models.map(m => allRows.find(r => r[MODEL_COL] === m)).filter(Boolean);
        if (candidates.length) {
            scenario = sc;
            picked = candidates;
            break;
        }
    }
    if (!picked.length) return null;

    const hib = metricCfg.higher_is_better !== false;
    picked.sort((a, b) => {
        const sizeA = parseModelSize(a[FAMILY_COL] || a[MODEL_COL]);
        const sizeB = parseModelSize(b[FAMILY_COL] || b[MODEL_COL]);
        if (sizeA !== sizeB) return sizeA - sizeB;
        const extA = isExternalModel(a[MODEL_COL]) ? 0 : 1;
        const extB = isExternalModel(b[MODEL_COL]) ? 0 : 1;
        if (extA !== extB) return extA - extB;
        const va = a[metricCol] ?? 0;
        const vb = b[metricCol] ?? 0;
        return hib ? va - vb : vb - va;
    });

    const rawLabels = picked.map(r => MODEL_SHORT[r[MODEL_COL]]);
    const families = new Set(picked.map(r => r[FAMILY_COL]));
    const needPrefix = families.size > 1;
    const labels = rawLabels.map((lbl, i) => {
        if (needPrefix) {
            const fk = picked[i][FAMILY_COL] || "";
            return lbl ? `${fk} ${lbl}` : fk;
        }
        return lbl;
    });

    return {
        familyKey: embedFamilyKey(),
        groupLabel,
        scenarioLabel: scenario.label || "",
        metricCol,
        metricLabel: metricCfg.short || metricCol,
        higherIsBetter: hib,
        picked,
        labels,
    };
}

function generateEmbedSVG(version) {
    const data = getEmbedChartData();
    if (!data) return null;

    const { familyKey, groupLabel, scenarioLabel, metricCol, metricLabel, higherIsBetter, picked, labels } = data;

    const width = 800;
    const barHeight = 32;
    const barGap = 10;
    const topPad = 76;
    const bottomPad = 44;
    const leftPad = 260;
    const rightPad = 90;
    const barAreaWidth = width - leftPad - rightPad;
    const contentHeight = picked.length * (barHeight + barGap) - barGap;
    const height = topPad + contentHeight + bottomPad;

    const maxVal = Math.max(...picked.map(r => r[metricCol] ?? 0), 1);

    function esc(s) {
        return s.replace(/&/g, "&amp;").replace(/</g, "&lt;").replace(/>/g, "&gt;").replace(/"/g, "&quot;");
    }

    let bars = "";
    picked.forEach((r, i) => {
        const val = r[metricCol] ?? 0;
        const barW = maxVal > 0 ? Math.max((val / maxVal) * barAreaWidth, 0) : 0;
        const y = topPad + i * (barHeight + barGap);
        const cy = y + barHeight / 2 + 5;
        const color = MODEL_COLORS[r[MODEL_COL]]?.border || "#58b1c3";
        const label = labels[i];
        const oom = val === 0 && isOOMRow(r);
        const valText = oom ? "OOM" : val.toFixed(1);
        const valColor = oom ? "#ff4d6d" : "#e8e8e8";

        bars += `  <text x="${leftPad - 14}" y="${cy}" text-anchor="end" fill="${color}" font-size="13" font-weight="500" font-family="system-ui,-apple-system,sans-serif">${esc(label)}</text>\n`;
        if (!oom && barW > 0) {
            bars += `  <rect x="${leftPad}" y="${y}" width="${barW.toFixed(1)}" height="${barHeight}" rx="4" fill="${color}" opacity="0.7"/>\n`;
        }
        bars += `  <text x="${leftPad + (oom ? 0 : barW) + 10}" y="${cy}" fill="${valColor}" font-size="13" font-weight="${oom ? "600" : "400"}" font-family="system-ui,-apple-system,sans-serif">${valText}</text>\n`;
    });

    const hint = higherIsBetter ? "(higher is better)" : "(lower is better)";
    const subtitle = [familyKey, groupLabel, scenarioLabel, metricLabel + " " + hint].filter(Boolean).join(" \u00b7 ");
    const commitAttr = version ? ` data-commit="${esc(version)}"` : "";
    return `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ${width} ${height}" width="${width}" height="${height}"${commitAttr}>
  <defs>
    <linearGradient id="topGlow" x1="0" y1="0" x2="1" y2="0">
      <stop offset="0%" stop-color="#58b1c3" stop-opacity="0"/>
      <stop offset="50%" stop-color="#58b1c3" stop-opacity="0.5"/>
      <stop offset="100%" stop-color="#58b1c3" stop-opacity="0"/>
    </linearGradient>
  </defs>
  <rect width="${width}" height="${height}" rx="12" fill="#0B1527"/>
  <rect x="0" y="0" width="${width}" height="${height}" rx="12" fill="none" stroke="#58b1c3" stroke-opacity="0.15"/>
  <rect x="80" y="1" width="${width - 160}" height="2" rx="1" fill="url(#topGlow)"/>
  <text x="28" y="32" fill="#e8e8e8" font-size="17" font-weight="700" font-family="system-ui,-apple-system,sans-serif">Edge Inference Benchmarks</text>
  <text x="28" y="54" fill="#8899aa" font-size="12" font-family="system-ui,-apple-system,sans-serif">${esc(subtitle)}</text>
${bars}  <line x1="28" y1="${height - 36}" x2="${width - 28}" y2="${height - 36}" stroke="#58b1c3" stroke-opacity="0.15"/>
  <text x="28" y="${height - 14}" fill="#5a6a7a" font-size="11" font-family="system-ui,-apple-system,sans-serif">embedl.com</text>
  <text x="${width - 28}" y="${height - 14}" text-anchor="end" fill="#58b1c3" font-size="11" font-family="system-ui,-apple-system,sans-serif">View Benchmarks \u2192</text>
</svg>`;
}

function createEmbedModal() {
    const overlay = document.createElement("div");
    overlay.className = "embed-overlay";
    overlay.innerHTML = `
        <div class="embed-modal">
            <div class="embed-modal-header">
                <h3>Embed in Model Card</h3>
                <button class="embed-close" aria-label="Close">&times;</button>
            </div>
            <div class="embed-preview" id="embed-preview"></div>
            <div class="embed-status-bar">
                <span class="embed-status" id="embed-status"></span>
            </div>
            <div class="embed-actions">
                <button class="btn embed-action-btn" id="embed-copy">Copy Embed Code</button>
                <button class="btn embed-action-btn embed-secondary" id="embed-upload-manual">Download SVG & Open HF</button>
            </div>
            <div class="embed-code-section">
                <label>Paste this into your HuggingFace model card README.md:</label>
                <textarea class="embed-code" id="embed-code" readonly rows="6"></textarea>
            </div>
        </div>
    `;

    overlay.querySelector(".embed-close").addEventListener("click", () => overlay.classList.remove("visible"));
    overlay.addEventListener("click", e => { if (e.target === overlay) overlay.classList.remove("visible"); });

    overlay.querySelector("#embed-upload-manual").addEventListener("click", () => {
        const svg = generateEmbedSVG(cachedCommitHash);
        if (!svg) return;
        const fileName = embedFileName();
        const blob = new Blob([svg], { type: "image/svg+xml" });
        const url = URL.createObjectURL(blob);
        const a = document.createElement("a");
        a.href = url;
        a.download = fileName;
        a.click();
        URL.revokeObjectURL(url);
        const commitMsg = "Update " + fileName + " (" + (cachedCommitHash || "latest") + ")";
        window.open("https://huggingface.co/datasets/" + HF_DOCS_REPO + "/upload/main/" + HF_SVG_FOLDER + "?commit_message=" + encodeURIComponent(commitMsg), "_blank");
    });

    overlay.querySelector("#embed-copy").addEventListener("click", () => {
        const textarea = overlay.querySelector("#embed-code");
        navigator.clipboard.writeText(textarea.value);
        const btn = overlay.querySelector("#embed-copy");
        const orig = btn.textContent;
        btn.textContent = "Copied!";
        setTimeout(() => { btn.textContent = orig; }, 2000);
    });

    document.body.appendChild(overlay);
    return overlay;
}

function setEmbedStatus(cls, html) {
    const el = embedModal.querySelector("#embed-status");
    el.className = "embed-status " + cls;
    el.innerHTML = html;
}

function showUploadUI(show) {
    embedModal.querySelector("#embed-upload-manual").style.display = show ? "" : "none";
}

async function runEmbedUpload() {
    const version = cachedCommitHash;
    const fileName = embedFileName();
    const svgPath = HF_SVG_FOLDER + "/" + fileName;
    const svgUrl = "https://huggingface.co/datasets/" + HF_DOCS_REPO + "/resolve/main/" + svgPath;

    setEmbedStatus("checking", "Checking\u2026");
    showUploadUI(false);

    let remoteCommit = null;
    let exists = false;
    try {
        const resp = await fetch(svgUrl, { cache: "no-store" });
        if (resp.ok) {
            exists = true;
            const text = await resp.text();
            const m = text.match(/data-commit="([^"]+)"/);
            if (m) remoteCommit = m[1];
        }
    } catch {}

    if (exists && version && remoteCommit === version) {
        setEmbedStatus("up-to-date", "");
        return;
    }

    if (exists) {
        setEmbedStatus("needs-token", "SVG outdated \u2014 use Download SVG &amp; Open HF below to update");
    } else {
        setEmbedStatus("needs-token", "SVG not yet uploaded \u2014 use Download SVG &amp; Open HF below to upload manually");
    }
    showUploadUI(true);
}

async function showEmbedModal() {
    if (!embedModal) embedModal = createEmbedModal();

    const version = await loadCommitHash();
    const svg = generateEmbedSVG(version);
    if (!svg) return;

    embedModal.querySelector("#embed-preview").innerHTML = svg;

    const famKey = embedFamilyKey();
    const fileName = embedFileName();
    const svgUrl = "https://huggingface.co/datasets/" + HF_DOCS_REPO + "/resolve/main/" + HF_SVG_FOLDER + "/" + fileName;

    const embedCode = '<a href="' + HF_SPACES_URL + '" target="_blank" rel="noopener">\n  <img\n    src="' + svgUrl + '"\n    alt="Edge Inference Benchmarks for ' + famKey + '"\n    width="100%"\n  />\n</a>';

    embedModal.querySelector("#embed-code").value = embedCode;
    embedModal.classList.add("visible");

    runEmbedUpload();
}

return { showEmbedModal };

} // end initEmbed