{% extends "base.html" %}
{% block title %}Virtual Screening — MoleSight AI{% endblock %}

{% block content %}
<div class="page-header fade-up">
  <h1>Virtual <span class="accent">Screening</span></h1>
  <div class="sub">Compound library ranked by composite docking / pharmacophore score · Select a target to re-rank</div>
</div>

<!-- Target selector -->
<div class="card fade-up" style="margin-bottom:1rem">
  <div class="card-title">Target Selection</div>
  <div style="display:flex;align-items:center;gap:.75rem;flex-wrap:wrap">
    <span style="font-size:.75rem;color:var(--muted)">Filter by target:</span>
    <a href="{{ url_for('screening.screening') }}" class="btn btn-outline btn-sm">All Targets</a>
    {% for t in targets %}
    <a href="{{ url_for('screening.screening') }}?target={{ t }}"
       class="btn btn-outline btn-sm" style="font-size:.65rem">{{ t }}</a>
    {% endfor %}
  </div>
</div>

<!-- Charts -->
<div class="grid-2 fade-up delay-1" style="margin-bottom:1rem">
  <div class="card">
    <div class="card-title">Score vs QED Scatter</div>
    <div id="chart-scatter" class="plotly-wrap"></div>
  </div>
  <div class="card">
    <div class="card-title">Compounds per Biological Target</div>
    <div id="chart-targets" class="plotly-wrap"></div>
  </div>
</div>

<!-- Ranked results table -->
<div class="card fade-up delay-2">
  <div class="card-title">Ranked Compound Library</div>
  <div style="overflow-x:auto">
    <table class="compound-table">
      <thead>
        <tr>
          <th>Rank</th>
          <th>Name</th>
          <th>Target</th>
          <th>Score ↓</th>
          <th>QED</th>
          <th>MW</th>
          <th>LogP</th>
          <th>IC₅₀ (nM)</th>
          <th>Drug-Like</th>
          <th>Activity</th>
        </tr>
      </thead>
      <tbody>
        {% for c in compounds %}
        <tr>
          <td>
            {% if loop.index0 == 0 %}
              <span style="color:var(--amber);font-weight:700">#1</span>
            {% elif loop.index0 == 1 %}
              <span style="color:var(--g2)">#2</span>
            {% elif loop.index0 == 2 %}
              <span style="color:var(--g1)">#3</span>
            {% else %}
              <span style="color:var(--muted)">#{{ loop.index }}</span>
            {% endif %}
          </td>
          <td style="color:#fff;font-weight:500">{{ c.name }}</td>
          <td style="color:var(--muted);font-size:.7rem">{{ c.target }}</td>
          <td>
            <div style="display:flex;align-items:center;gap:.4rem">
              <div style="width:40px;height:4px;background:var(--surface);border-radius:2px;overflow:hidden">
                <div style="height:100%;width:{{ (c.score*100)|round|int }}%;background:{% if c.score >= 0.6 %}var(--g1){% elif c.score >= 0.4 %}var(--amber){% else %}var(--red){% endif %};border-radius:2px"></div>
              </div>
              <span style="color:{% if c.score >= 0.6 %}var(--g1){% elif c.score >= 0.4 %}var(--amber){% else %}var(--red){% endif %}">{{ c.score }}</span>
            </div>
          </td>
          <td style="color:var(--amber)">{{ c.qed }}</td>
          <td>{{ c.mw }}</td>
          <td>{{ c.logp }}</td>
          <td>
            {% if c.ic50_nm < 10 %}
              <span style="color:var(--g1)">{{ c.ic50_nm }}</span>
            {% elif c.ic50_nm < 100 %}
              <span style="color:var(--amber)">{{ c.ic50_nm }}</span>
            {% else %}
              <span style="color:var(--muted)">{{ c.ic50_nm }}</span>
            {% endif %}
          </td>
          <td>
            {% if c.drug_like %}
              <span class="tag tag-green">Yes</span>
            {% else %}
              <span class="tag tag-red">No</span>
            {% endif %}
          </td>
          <td><span class="tag tag-blue" style="font-size:.6rem">{{ c.activity }}</span></td>
        </tr>
        {% endfor %}
      </tbody>
    </table>
  </div>
</div>

<!-- Methodology note -->
<div class="card fade-up delay-3" style="margin-top:1rem;border-style:dashed">
  <div class="card-title">Scoring Methodology</div>
  <div style="font-size:.75rem;color:var(--text);line-height:1.7">
    The composite screening score combines: <span style="color:var(--g1)">pIC₅₀ (45%)</span>, 
    <span style="color:var(--g2)">QED drug-likeness (25%)</span>, 
    <span style="color:var(--amber)">LogP optimality (15%)</span>, 
    <span style="color:var(--g1)">TPSA (10%)</span>, and 
    <span style="color:var(--muted)">MW (5%)</span>, with penalties for Lipinski violations.
    This mimics a multi-parameter optimisation (MPO) approach used in real lead optimisation campaigns.
  </div>
</div>
{% endblock %}

{% block scripts %}
<script>
  renderPlotly('chart-scatter', {{ chart_scatter | safe }});
  renderPlotly('chart-targets', {{ chart_targets | safe }});
</script>
{% endblock %}