{% extends "base.html" %}
{% block title %}Cross-paper aggregation{% endblock %}
{% block content %}
  <section>
    <h1>Cross-paper aggregation</h1>
    <p class="lede">
      Evolve your reviewer database from accumulated validation evidence.
      Suggestions that repeat across ≥ min_support papers surface as
      tuning advice; one-offs drop out. This page is a reporter — edits
      to the reviewer-database YAML are always applied by hand.
    </p>
    <p class="hint">
      See <a href="{{ url_for('docs_view', slug='aggregation') }}">Aggregation</a>
      for the full rationale, suggestion-to-YAML mapping, and scripted-usage examples.
    </p>
  </section>

  {% if n_papers == 0 %}
    <section class="card">
      <h2>No validations yet</h2>
      <p>
        Run <a href="{{ url_for('validate_form') }}">Validation</a> on at
        least two papers first — then come back here to see which
        tuning suggestions repeat across them.
      </p>
    </section>
  {% else %}
    <section class="card">
      <div style="display: flex; align-items: baseline; justify-content: space-between; gap: 1rem; flex-wrap: wrap;">
        <div>
          <h2 style="margin: 0;">Summary</h2>
          <p class="muted" style="margin: 0.3rem 0 0 0;">
            <strong>{{ recommendations|length }}</strong>
            recommendation{{ 's' if recommendations|length != 1 }}
            surfaced from <strong>{{ n_papers }}</strong>
            validation run{{ 's' if n_papers != 1 }}
            (min_support = {{ min_support }}).
          </p>
        </div>
        <form method="get" action="{{ url_for('aggregate_view') }}"
              style="display: flex; align-items: center; gap: 0.5rem;">
          <label for="min_support" style="margin: 0;">min_support</label>
          <input type="number" name="min_support" id="min_support"
                 value="{{ min_support }}" min="1" max="{{ n_papers }}"
                 step="1" style="width: 5rem;">
          <button type="submit" class="button">Apply</button>
        </form>
      </div>
    </section>

    {% if recommendations %}
      <section>
        <h2 style="margin-bottom: 0.6rem;">Recommendations (≥ {{ min_support }} papers)</h2>
        {% for r in recommendations %}
          <article class="issue issue-major" style="border-left-color: var(--moderate);">
            <header>
              <span class="pill pill-info">{{ r.type }}</span>
              <strong>{{ r.target }}</strong>
              <span class="sev-chip sev-moderate">
                {{ r.support }} paper{{ 's' if r.support != 1 }}
              </span>
            </header>
            <p><strong>Recommendation.</strong> {{ r.recommendation }}</p>
            <p class="muted" style="font-size: 0.9rem; margin: 0.3rem 0;">
              Contributing papers: {% for pid in r.paper_ids %}<code>{{ pid }}</code>{% if not loop.last %}, {% endif %}{% endfor %}
            </p>
            {% if r.example_misses %}
              <details>
                <summary>Example misses ({{ r.example_misses|length }})</summary>
                <ul style="margin: 0.4rem 0 0 1.2rem;">
                  {% for m in r.example_misses %}
                    <li>{{ m[:300] }}</li>
                  {% endfor %}
                </ul>
              </details>
            {% endif %}
          </article>
        {% endfor %}
      </section>
    {% else %}
      <section class="card">
        <p>
          No suggestion repeats across <strong>{{ min_support }}</strong>
          or more papers yet. Either lower <code>min_support</code> above
          to see near-misses, or run validation on more papers — a
          repeating pattern with 2–3 papers of support is the signal
          aggregation is designed to surface.
        </p>
      </section>
    {% endif %}

    {% if below_threshold %}
      <section class="card">
        <details>
          <summary>
            <strong>Below threshold</strong>
            ({{ below_threshold|length }}
            suggestion{{ 's' if below_threshold|length != 1 }} with
            support &lt; {{ min_support }})
          </summary>
          <p class="muted" style="margin-top: 0.6rem;">
            These haven't repeated across enough papers to count as
            robust signal. Kept here so you can spot near-misses and
            lower <code>min_support</code> if you think a pattern is
            about to emerge.
          </p>
          <ul style="margin: 0.5rem 0 0 1.2rem; line-height: 1.7;">
            {% for r in below_threshold %}
              <li>
                <span class="pill pill-info">{{ r.type }}</span>
                <strong>{{ r.target }}</strong>
                <span class="muted">
                  (support {{ r.support }}; papers:
                  {% for pid in r.paper_ids %}<code>{{ pid }}</code>{% if not loop.last %}, {% endif %}{% endfor %})
                </span>
              </li>
            {% endfor %}
          </ul>
        </details>
      </section>
    {% endif %}

    <section class="card">
      <details>
        <summary class="muted">
          Source files ({{ source_paths|length }})
        </summary>
        <ul style="margin: 0.5rem 0 0 1.2rem; line-height: 1.7;">
          {% for p in source_paths %}
            <li><code>{{ p }}</code></li>
          {% endfor %}
        </ul>
      </details>
    </section>
  {% endif %}
{% endblock %}