{% extends "base.html" %}
{% set active_page = "ratings" %}

{% block title %}Ratings — IETF Draft Analyzer{% endblock %}

{% block extra_head %}<script src="/static/js/plotly.min.js"></script>{% endblock %}

{% block content %}
<div class="mb-6">
    <h1 class="text-2xl font-bold text-white">Rating Analytics</h1>
    <p class="text-slate-400 text-sm mt-1">Distribution and analysis of AI-generated ratings across five dimensions. Each draft is rated 1–5 on novelty, maturity, overlap, momentum, and relevance by Claude AI, then combined into a weighted composite score.</p>
</div>

<!-- Score Distribution -->
<div class="bg-slate-900 rounded-xl border border-slate-800 p-5 mb-6">
    <h2 class="text-sm font-semibold text-slate-300 mb-1">Composite Score Distribution</h2>
    <p class="text-xs text-slate-500 mb-3">The composite score is a weighted average of all five dimensions (each 20%). Scores range from 1.0 (low) to 5.0 (high). Most drafts cluster in the 2.0–3.5 range.</p>
    <div id="scoreHist" style="height: 300px;"></div>
</div>

<div class="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-6">
    <!-- Dimension Box Plots -->
    <div class="bg-slate-900 rounded-xl border border-slate-800 p-5">
        <h2 class="text-sm font-semibold text-slate-300 mb-1">Score Distributions by Dimension</h2>
        <p class="text-xs text-slate-500 mb-3"><b>Novelty</b>: originality of ideas. <b>Maturity</b>: completeness and specification detail. <b>Overlap</b>: redundancy with other drafts (high = more unique). <b>Momentum</b>: adoption likelihood and community traction. <b>Relevance</b>: importance to AI agent infrastructure.</p>
        <div id="dimDist" style="height: 350px;"></div>
    </div>
    <!-- Category Radar -->
    <div class="bg-slate-900 rounded-xl border border-slate-800 p-5">
        <h2 class="text-sm font-semibold text-slate-300 mb-3">Category Rating Profiles</h2>
        <div id="radar" style="height: 350px;"></div>
    </div>
</div>

<!-- Scatter: novelty vs maturity -->
<div class="bg-slate-900 rounded-xl border border-slate-800 p-5 mb-6">
    <h2 class="text-sm font-semibold text-slate-300 mb-1">Novelty vs Maturity (bubble = relevance)</h2>
    <p class="text-xs text-slate-500 mb-3">Each dot is a rated draft. Drafts in the top-right corner are both novel and mature — prime candidates for standardization. Bubble size reflects relevance. Click a point to view the draft.</p>
    <div id="scatter" style="height: 450px;"></div>
</div>

<!-- Top 20 Leaderboard -->
<div class="bg-slate-900 rounded-xl border border-slate-800 overflow-hidden">
    <div class="p-4 border-b border-slate-800">
        <h2 class="text-sm font-semibold text-slate-300">Top 20 Drafts by Composite Score</h2>
        <p class="text-xs text-slate-500 mt-1">Highest-rated drafts across all dimensions. Green (4+) = strong, amber (3) = moderate, grey (&lt;3) = needs improvement.</p>
    </div>
    <div class="overflow-x-auto">
        <table class="w-full text-sm">
            <thead>
                <tr class="border-b border-slate-800 text-left text-xs text-slate-500">
                    <th class="px-4 py-3 font-medium">#</th>
                    <th class="px-4 py-3 font-medium">Draft</th>
                    <th class="px-4 py-3 font-medium text-center">Score</th>
                    <th class="px-4 py-3 font-medium text-center">Novelty</th>
                    <th class="px-4 py-3 font-medium text-center">Maturity</th>
                    <th class="px-4 py-3 font-medium text-center">Relevance</th>
                    <th class="px-4 py-3 font-medium text-center">Momentum</th>
                    <th class="px-4 py-3 font-medium text-center">Overlap</th>
                    <th class="px-4 py-3 font-medium">Category</th>
                </tr>
            </thead>
            <tbody id="leaderboard" class="divide-y divide-slate-800/50">
            </tbody>
        </table>
    </div>
</div>
{% endblock %}

{% block extra_scripts %}
<script>
const PLOTLY_LAYOUT = {
    paper_bgcolor: 'rgba(0,0,0,0)', plot_bgcolor: 'rgba(0,0,0,0)',
    font: { color: '#94a3b8', family: 'Inter, system-ui, sans-serif', size: 12 },
    margin: { t: 20, r: 20, b: 40, l: 50 },
    xaxis: { gridcolor: '#1e293b', zerolinecolor: '#334155' },
    yaxis: { gridcolor: '#1e293b', zerolinecolor: '#334155' },
};
const CFG = { responsive: true, displayModeBar: false };

const dist = {{ dist | tojson }};
const radar = {{ radar | tojson }};

// Score Histogram
Plotly.newPlot('scoreHist', [{
    x: dist.scores,
    type: 'histogram',
    nbinsx: 25,
    marker: { color: '#3b82f6', line: { color: '#1e40af', width: 1 } },
    hovertemplate: 'Score: %{x:.1f}<br>Count: %{y}<extra></extra>',
}], {
    ...PLOTLY_LAYOUT,
    xaxis: { ...PLOTLY_LAYOUT.xaxis, title: 'Composite Score' },
    yaxis: { ...PLOTLY_LAYOUT.yaxis, title: 'Count' },
}, CFG);

// Box plots for each dimension
const dims = ['novelty', 'maturity', 'overlap', 'momentum', 'relevance'];
const dimLabelsBox = ['Novelty', 'Maturity', 'Overlap', 'Momentum', 'Relevance'];
const colors = ['#3b82f6', '#22c55e', '#ef4444', '#f59e0b', '#a855f7'];
const boxTraces = dims.map((d, i) => ({
    y: dist[d], name: dimLabelsBox[i],
    type: 'box', marker: { color: colors[i] }, boxmean: true,
}));
Plotly.newPlot('dimDist', boxTraces, {
    ...PLOTLY_LAYOUT,
    showlegend: false,
    yaxis: { ...PLOTLY_LAYOUT.yaxis, range: [0.5, 5.5], dtick: 1 },
}, CFG);

// Radar
const radarDims = ['novelty', 'maturity', 'relevance', 'momentum', 'low_overlap'];
const radarLabels = ['Novelty', 'Maturity', 'Relevance', 'Momentum', 'Low Overlap'];
const radarTraces = Object.entries(radar).map(([cat, vals]) => ({
    type: 'scatterpolar',
    r: radarDims.map(d => vals[d]).concat([vals[radarDims[0]]]),
    theta: radarLabels.concat([radarLabels[0]]),
    fill: 'toself', name: `${cat} (${vals.count})`, opacity: 0.4,
}));
Plotly.newPlot('radar', radarTraces, {
    ...PLOTLY_LAYOUT,
    polar: {
        bgcolor: 'rgba(0,0,0,0)',
        radialaxis: { visible: true, range: [0, 5], gridcolor: '#1e293b', color: '#64748b' },
        angularaxis: { gridcolor: '#1e293b', color: '#94a3b8' },
    },
    legend: { font: { size: 10, color: '#94a3b8' } },
    margin: { t: 30, r: 60, b: 30, l: 60 },
}, CFG);

// Scatter: novelty vs maturity
const catGroups = {};
dist.names.forEach((name, i) => {
    const cat = dist.categories[i];
    if (!catGroups[cat]) catGroups[cat] = { x: [], y: [], size: [], text: [] };
    catGroups[cat].x.push(dist.novelty[i] + (Math.random() - 0.5) * 0.3);
    catGroups[cat].y.push(dist.maturity[i] + (Math.random() - 0.5) * 0.3);
    catGroups[cat].size.push(Math.max(dist.relevance[i] * 4, 6));
    catGroups[cat].text.push(name);
});
const scatterTraces = Object.entries(catGroups).map(([cat, d]) => ({
    x: d.x, y: d.y, text: d.text, name: cat,
    mode: 'markers', type: 'scatter',
    marker: { size: d.size, opacity: 0.7 },
    hovertemplate: '<b>%{text}</b><br>Novelty: %{x:.1f}<br>Maturity: %{y:.1f}<extra>' + cat + '</extra>',
}));
Plotly.newPlot('scatter', scatterTraces, {
    ...PLOTLY_LAYOUT,
    xaxis: { ...PLOTLY_LAYOUT.xaxis, title: 'Novelty', range: [0.5, 5.5], dtick: 1 },
    yaxis: { ...PLOTLY_LAYOUT.yaxis, title: 'Maturity', range: [0.5, 5.5], dtick: 1 },
    legend: { font: { size: 10, color: '#94a3b8' } },
    hovermode: 'closest',
}, CFG);

// Click scatter points to navigate to draft detail
document.getElementById('scatter').on('plotly_click', function(data) {
    const pt = data.points[0];
    if (pt.text) {
        window.location.href = '/drafts/' + pt.text;
    }
});

// Top 20 Leaderboard
(function buildLeaderboard() {
    // Combine arrays into objects and sort by score descending
    const drafts = dist.names.map((name, i) => ({
        name,
        score: dist.scores[i],
        novelty: dist.novelty[i],
        maturity: dist.maturity[i],
        relevance: dist.relevance[i],
        momentum: dist.momentum[i],
        overlap: dist.overlap[i],
        category: dist.categories[i],
        source: (dist.sources || [])[i] || 'ietf',
    }));
    drafts.sort((a, b) => b.score - a.score);

    const tbody = document.getElementById('leaderboard');
    const top20 = drafts.slice(0, 20);

    function scoreClass(score) {
        if (score >= 3.5) return 'score-high';
        if (score >= 2.5) return 'score-mid';
        return 'score-low';
    }

    function dimBadge(val, inverted = false) {
        let cls;
        if (inverted) {
            cls = val <= 2 ? 'text-green-400' : val <= 3 ? 'text-yellow-400' : 'text-red-400';
        } else {
            cls = val >= 4 ? 'text-green-400' : val >= 3 ? 'text-yellow-400' : 'text-slate-500';
        }
        return `<span class="${cls}">${val}</span>`;
    }

    top20.forEach((d, i) => {
        const shortName = d.name.replace('draft-', '').substring(0, 40);
        const sourceBadge = d.source !== 'ietf' ? ` <span style="display:inline-block;padding:1px 5px;border-radius:4px;font-size:0.55rem;font-weight:600;background:rgba(168,85,247,0.15);color:#c084fc;border:1px solid rgba(168,85,247,0.3);vertical-align:middle">${d.source.toUpperCase()}</span>` : '';
        const row = document.createElement('tr');
        row.className = 'hover:bg-slate-800/50 transition';
        row.innerHTML = `
            <td class="px-4 py-3 text-slate-500 font-mono text-xs">${i + 1}</td>
            <td class="px-4 py-3">
                <a href="/drafts/${d.name}" class="text-blue-400 hover:text-blue-300 transition text-xs font-mono">${shortName}</a>${sourceBadge}
            </td>
            <td class="px-4 py-3 text-center">
                <span class="score-badge ${scoreClass(d.score)}">${d.score.toFixed(2)}</span>
            </td>
            <td class="px-4 py-3 text-center">${dimBadge(d.novelty)}</td>
            <td class="px-4 py-3 text-center">${dimBadge(d.maturity)}</td>
            <td class="px-4 py-3 text-center">${dimBadge(d.relevance)}</td>
            <td class="px-4 py-3 text-center">${dimBadge(d.momentum)}</td>
            <td class="px-4 py-3 text-center">${dimBadge(d.overlap, true)}</td>
            <td class="px-4 py-3">
                <span class="px-2 py-0.5 rounded text-[10px] bg-slate-800 text-slate-400">${d.category}</span>
            </td>
        `;
        tbody.appendChild(row);
    });
})();
</script>
{% endblock %}