{% extends "base.html" %}

{% block title %}Evaluation — ICH Screening{% endblock %}

{% block content %}
<section class="hero">
  <div class="hero-text">
    <h1>Model Evaluation</h1>
    <p>
      Calibration metrics, confidence band analysis, and probability
      distribution from the inference pipeline.
    </p>
  </div>
</section>

<!-- Calibration metrics -->
{% if calib %}
<section class="eval-grid">
  <article class="panel">
    <h3>Calibration Parameters</h3>
    <div class="kv-group">
      <div class="kv">
        <span>Method</span><strong>{{ calib.get('method', 'N/A') }}</strong>
      </div>
      <div class="kv">
        <span>Temperature</span
        ><strong>{{ '%.4f'|format(calib.temperature) }}</strong>
      </div>
      <div class="kv">
        <span>Decision Threshold</span
        ><strong>{{ '%.4f'|format(calib.calibrated_threshold) }}</strong>
      </div>
      <div class="kv">
        <span>Base Threshold</span
        ><strong>{{ '%.4f'|format(calib.base_threshold) }}</strong>
      </div>
      <div class="kv">
        <span>High Band ≥</span><strong>{{ calib.high_threshold }}</strong>
      </div>
      <div class="kv">
        <span>Low Band &lt;</span><strong>{{ calib.low_threshold }}</strong>
      </div>
    </div>
  </article>

  <article class="panel">
    <h3>Calibration Quality</h3>
    <div class="metric-grid">
      <div class="metric-card">
        <div class="metric-label">ECE (Raw)</div>
        <div class="metric-value">{{ '%.4f'|format(calib.raw_ece) }}</div>
      </div>
      <div class="metric-card">
        <div class="metric-label">ECE (Calibrated)</div>
        <div class="metric-value">{{ '%.4f'|format(calib.cal_ece) }}</div>
      </div>
      <div class="metric-card">
        <div class="metric-label">Brier (Raw)</div>
        <div class="metric-value">{{ '%.4f'|format(calib.raw_brier) }}</div>
      </div>
      <div class="metric-card">
        <div class="metric-label">Brier (Cal)</div>
        <div class="metric-value">{{ '%.4f'|format(calib.cal_brier) }}</div>
      </div>
    </div>
    <p class="muted small" style="margin-top: 12px">
      Temperature scaling adjusts logits by T={{
      '%.4f'|format(calib.temperature) }} to produce better-calibrated
      probabilities. Lower ECE = better calibration.
    </p>
  </article>
</section>
{% endif %}

<!-- Normalization -->
{% if norm %}
<section class="panel" style="margin-top: 16px">
  <h3>Normalization Statistics</h3>
  <div class="kv-group" style="max-width: 500px">
    <div class="kv">
      <span>Mean (per channel)</span><strong>{{ norm.mean }}</strong>
    </div>
    <div class="kv">
      <span>Std (per channel)</span><strong>{{ norm.std }}</strong>
    </div>
    <div class="kv">
      <span>Computed from</span
      ><strong>{{ norm.get('n_images', 'N/A') }} images</strong>
    </div>
  </div>
</section>
{% endif %}

<!-- Confidence Band Breakdown -->
<section class="panel" style="margin-top: 16px">
  <h3>Confidence Band Analysis</h3>
  <p class="muted small">
    Distribution of {{ total }} processed cases across the three confidence
    bands.
  </p>

  <div class="band-grid">
    {% for bnd in ['HIGH', 'MEDIUM', 'LOW'] %} {% set d = band_data.get(bnd,
    {'total': 0, 'positive': 0, 'negative': 0}) %}
    <div class="band-card band-{{ bnd|lower }}">
      <div class="band-header">
        <span class="badge badge-{{ bnd|lower }}">{{ bnd }}</span>
        <span class="band-total">{{ d.total }} cases</span>
      </div>
      <div class="band-bars">
        <div class="band-bar-row">
          <span class="band-bar-label">Positive</span>
          <div class="band-bar">
            <div
              class="band-bar-fill fill-red"
              style="width: {{ (d.positive / d.total * 100) if d.total else 0 }}%"
            ></div>
          </div>
          <span class="band-bar-val">{{ d.positive }}</span>
        </div>
        <div class="band-bar-row">
          <span class="band-bar-label">Negative</span>
          <div class="band-bar">
            <div
              class="band-bar-fill fill-green"
              style="width: {{ (d.negative / d.total * 100) if d.total else 0 }}%"
            ></div>
          </div>
          <span class="band-bar-val">{{ d.negative }}</span>
        </div>
      </div>
    </div>
    {% endfor %}
  </div>
</section>

<!-- Probability Distribution -->
<section class="panel" style="margin-top: 16px">
  <h3>Calibrated Probability Distribution</h3>
  <p class="muted small">
    Histogram of calibrated probabilities across all cases (10 bins).
  </p>

  <div class="histogram">
    {% set max_bin = bins|max if bins|max > 0 else 1 %} {% for count in bins %}
    <div class="hist-col">
      <div
        class="hist-bar"
        style="height: {{ (count / max_bin * 180)|round }}px"
        title="{{ '%.1f'|format(loop.index0 * 0.1) }}–{{ '%.1f'|format(loop.index0 * 0.1 + 0.1) }}: {{ count }}"
      >
        <span class="hist-count">{{ count }}</span>
      </div>
      <div class="hist-label">{{ '%.1f'|format(loop.index0 * 0.1) }}</div>
    </div>
    {% endfor %}
  </div>
</section>

<!-- Summary stats -->
<section class="panel" style="margin-top: 16px">
  <h3>Summary Statistics</h3>
  <div class="kv-group" style="max-width: 500px">
    <div class="kv">
      <span>Total processed</span><strong>{{ stats.total }}</strong>
    </div>
    <div class="kv">
      <span>Positive (flagged)</span><strong>{{ stats.positive }}</strong>
    </div>
    <div class="kv">
      <span>Negative</span><strong>{{ stats.negative }}</strong>
    </div>
    <div class="kv">
      <span>Urgent escalations</span><strong>{{ stats.urgent }}</strong>
    </div>
    <div class="kv">
      <span>Average calibrated prob</span
      ><strong>{{ '%.4f'|format(stats.avg_cal_prob) }}</strong>
    </div>
    <div class="kv">
      <span>Heatmaps generated</span><strong>{{ stats.heatmaps }}</strong>
    </div>
  </div>
</section>
{% endblock %}