{% extends "base.html" %}

{% block title %}AI Medical Intelligence Pipeline — Dashboard{% endblock %}

{% block head %}
<link rel="stylesheet" href="{{ url_for('static', filename='css/home.css') }}"/>
{% endblock %}

{% block content %}

<!-- ── Hero ── -->
<section class="landing-hero">
  <div class="landing-badge">
    <span class="badge-dot"></span>
    AI-Powered Screening
  </div>
  <h1>AI Medical Intelligence<br><span class="hero-grad">Pipeline for CT Analysis</span></h1>
  <p>
    Clinical-grade CT scan analysis powered by deep learning — with Grad-CAM visualisation,
    automated triage, and exportable PDF reports.
  </p>
  <div class="hero-cta-row">
    <a href="{{ url_for('upload') }}" class="btn-hero-primary">
      <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor"
           stroke-width="2.5" stroke-linecap="round">
        <path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/>
        <polyline points="17 8 12 3 7 8"/>
        <line x1="12" y1="3" x2="12" y2="15"/>
      </svg>
      Upload a Scan
    </a>
    <a href="{{ url_for('reports') }}" class="btn-hero-secondary">
      <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor"
           stroke-width="2" stroke-linecap="round">
        <path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/>
        <polyline points="14 2 14 8 20 8"/>
      </svg>
      View Reports
    </a>
  </div>
</section>

<!-- ── Stats ── -->
{% if stats.total > 0 %}
<section class="stats-section">
  <div class="stat-card" style="animation-delay:.05s">
    <div class="stat-label">Total Scans</div>
    <div class="stat-value" data-count="{{ stats.total }}">0</div>
  </div>
  <div class="stat-card accent-red" style="animation-delay:.1s">
    <div class="stat-label">Positive</div>
    <div class="stat-value" data-count="{{ stats.positive }}">0</div>
  </div>
  <div class="stat-card accent-green" style="animation-delay:.15s">
    <div class="stat-label">Negative</div>
    <div class="stat-value" data-count="{{ stats.negative }}">0</div>
  </div>
  <div class="stat-card accent-orange" style="animation-delay:.2s">
    <div class="stat-label">Urgent</div>
    <div class="stat-value" data-count="{{ stats.urgent }}">0</div>
  </div>
  <div class="stat-card accent-blue" style="animation-delay:.25s">
    <div class="stat-label">Positivity Rate</div>
    <div class="stat-value">{{ '%.1f'|format(stats.pos_rate) }}%</div>
  </div>
  <div class="stat-card" style="animation-delay:.3s">
    <div class="stat-label">Avg Cal. Prob</div>
    <div class="stat-value">{{ '%.3f'|format(stats.avg_cal_prob) }}</div>
  </div>
</section>
{% endif %}

<!-- ── Quick Actions heading ── -->
<div class="section-heading">
  <h2>Quick Actions</h2>
  <div class="section-line"></div>
</div>

<!-- ── Main action cards ── -->
<section class="action-cards">
  <a href="{{ url_for('upload') }}" class="action-card">
    <div class="action-card-icon">
      <svg width="26" height="26" viewBox="0 0 24 24" fill="none" stroke="currentColor"
           stroke-width="1.8" stroke-linecap="round" stroke-linejoin="round">
        <path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/>
        <polyline points="17 8 12 3 7 8"/>
        <line x1="12" y1="3" x2="12" y2="15"/>
      </svg>
    </div>
    <h2>Upload Scans</h2>
    <p>Upload single or batch DICOM scans (.dcm / .zip) for AI-powered hemorrhage screening
       with Grad-CAM heatmap visualisation.</p>
    <span class="action-card-cta">Upload files →</span>
  </a>

  <a href="{{ url_for('reports') }}" class="action-card">
    <div class="action-card-icon">
      <svg width="26" height="26" viewBox="0 0 24 24" fill="none" stroke="currentColor"
           stroke-width="1.8" stroke-linecap="round" stroke-linejoin="round">
        <path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/>
        <polyline points="14 2 14 8 20 8"/>
        <line x1="16" y1="13" x2="8" y2="13"/>
        <line x1="16" y1="17" x2="8" y2="17"/>
      </svg>
    </div>
    <h2>Past Reports</h2>
    <p>Browse {{ stats.total }} screening report{{ 's' if stats.total != 1 }} with confidence bands,
       triage actions, and Grad-CAM heatmaps.</p>
    <span class="action-card-cta">View reports →</span>
  </a>
</section>

<!-- ── Mini cards ── -->
<section class="mini-cards">
  {% if show_logs %}
  <a href="{{ url_for('logs_page') }}" class="mini-card">
    <div class="mini-card-icon">
      <svg width="22" height="22" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8">
        <path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/>
        <path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/>
      </svg>
    </div>
    <h3>Execution Logs</h3>
    <p class="muted small">{{ log_count | default(0) }} inference trace{{ 's' if (log_count | default(0)) != 1 }} recorded</p>
  </a>
  {% endif %}

  <a href="{{ url_for('evaluation') }}" class="mini-card">
    <div class="mini-card-icon">
      <svg width="22" height="22" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8">
        <line x1="18" y1="20" x2="18" y2="10"/>
        <line x1="12" y1="20" x2="12" y2="4"/>
        <line x1="6" y1="20" x2="6" y2="14"/>
      </svg>
    </div>
    <h3>Model Evaluation</h3>
    <p class="muted small">Calibration metrics and band analysis</p>
  </a>

  <a href="{{ url_for('about') }}" class="mini-card">
    <div class="mini-card-icon">
      <svg width="22" height="22" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8">
        <circle cx="12" cy="12" r="10"/>
        <line x1="12" y1="16" x2="12" y2="12"/>
        <line x1="12" y1="8" x2="12.01" y2="8"/>
      </svg>
    </div>
    <h3>About</h3>
    <p class="muted small">System architecture and methodology</p>
  </a>
</section>

<!-- ── How it works ── -->
<section class="how-section">
  <div class="section-heading">
    <h2>How It Works</h2>
    <div class="section-line"></div>
  </div>
  <div class="how-steps">
    <div class="how-step">
      <div class="how-num">1</div>
      <h4>Upload DICOM</h4>
      <p>Upload a .dcm file or a .zip batch. Single slices or full series are both supported.</p>
    </div>
    <div class="how-step">
      <div class="how-num">2</div>
      <h4>AI Inference</h4>
      <p>A calibrated deep-learning model scores each slice for ICH probability.</p>
    </div>
    <div class="how-step">
      <div class="how-num">3</div>
      <h4>Grad-CAM Heatmap</h4>
      <p>Gradient-weighted class activation maps highlight regions driving the prediction.</p>
    </div>
    <div class="how-step">
      <div class="how-num">4</div>
      <h4>Clinical Report</h4>
      <p>An auto-generated PDF report with findings, confidence bands, and triage action.</p>
    </div>
  </div>
</section>

<!-- ── Disclaimer ── -->
<div class="disclaimer-box" style="margin-top:36px;">
  <svg class="disclaimer-icon" width="18" height="18" viewBox="0 0 24 24" fill="none"
       stroke="currentColor" stroke-width="2">
    <path d="M10.29 3.86L1.82 18a2 2 0 0 0 1.71 3h16.94a2 2 0 0 0 1.71-3L13.71 3.86a2 2 0 0 0-3.42 0z"/>
    <line x1="12" y1="9" x2="12" y2="13"/>
    <line x1="12" y1="17" x2="12.01" y2="17"/>
  </svg>
  <div>
    <strong>Medical Disclaimer:</strong>
    This is an AI-assisted screening tool and does <strong>not</strong> constitute a medical diagnosis.
    All findings must be reviewed and confirmed by a qualified medical professional before
    any clinical action is taken.
  </div>
</div>

{% endblock %}

{% block scripts %}
<script src="{{ url_for('static', filename='js/home.js') }}" defer></script>
{% endblock %}