auto-claude: 6.2 - Add admin route to app.py that renders SEO dashboard

Added /admin/seo route with:
- Admin-only access with @login_required and is_admin check
- Fetches all active companies with SEO analysis data using outerjoin
- Calculates statistics: good_count (90-100), medium_count (50-89),
  poor_count (0-49), not_audited_count, avg_score
- Gets unique categories for filter dropdown
- Passes companies, stats, categories, and now to template
- Uses CompanyRow class for Jinja2 attribute access

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

app.py

@@ -2639,6 +2639,115 @@ def api_seo_audit_trigger():
         db.close()
 
 
+# ============================================================
+# SEO ADMIN DASHBOARD
+# ============================================================
+
+@app.route('/admin/seo')
+@login_required
+def admin_seo():
+    """
+    Admin dashboard for SEO metrics overview.
+
+    Displays:
+    - Summary stats (score distribution, average score)
+    - Sortable table of all companies with SEO scores
+    - Color-coded score badges (green 90-100, yellow 50-89, red 0-49)
+    - Filtering by category, score range, and search text
+    - Last audit date with staleness indicator
+    - Actions: view profile, trigger single company audit
+    """
+    if not current_user.is_admin:
+        flash('Brak uprawnień do tej strony.', 'error')
+        return redirect(url_for('dashboard'))
+
+    db = SessionLocal()
+    try:
+        from sqlalchemy import func
+
+        # Get all active companies with their latest SEO analysis data
+        # Using outerjoin to include companies without SEO data
+        companies_query = db.query(
+            Company.id,
+            Company.name,
+            Company.slug,
+            Company.website,
+            Company.category,
+            CompanyWebsiteAnalysis.pagespeed_seo_score,
+            CompanyWebsiteAnalysis.pagespeed_performance_score,
+            CompanyWebsiteAnalysis.pagespeed_accessibility_score,
+            CompanyWebsiteAnalysis.pagespeed_best_practices_score,
+            CompanyWebsiteAnalysis.seo_audited_at
+        ).outerjoin(
+            CompanyWebsiteAnalysis,
+            Company.id == CompanyWebsiteAnalysis.company_id
+        ).filter(
+            Company.status == 'active'
+        ).order_by(
+            Company.name
+        ).all()
+
+        # Build companies list with named attributes for template
+        companies = []
+        for row in companies_query:
+            companies.append({
+                'id': row.id,
+                'name': row.name,
+                'slug': row.slug,
+                'website': row.website,
+                'category': row.category,
+                'seo_score': row.pagespeed_seo_score,
+                'performance_score': row.pagespeed_performance_score,
+                'accessibility_score': row.pagespeed_accessibility_score,
+                'best_practices_score': row.pagespeed_best_practices_score,
+                'seo_audited_at': row.seo_audited_at
+            })
+
+        # Calculate statistics
+        audited_companies = [c for c in companies if c['seo_score'] is not None]
+        not_audited = [c for c in companies if c['seo_score'] is None]
+
+        good_count = len([c for c in audited_companies if c['seo_score'] >= 90])
+        medium_count = len([c for c in audited_companies if 50 <= c['seo_score'] < 90])
+        poor_count = len([c for c in audited_companies if c['seo_score'] < 50])
+        not_audited_count = len(not_audited)
+
+        # Calculate average score (only for audited companies)
+        if audited_companies:
+            avg_score = round(sum(c['seo_score'] for c in audited_companies) / len(audited_companies))
+        else:
+            avg_score = None
+
+        stats = {
+            'good_count': good_count,
+            'medium_count': medium_count,
+            'poor_count': poor_count,
+            'not_audited_count': not_audited_count,
+            'avg_score': avg_score
+        }
+
+        # Get unique categories for filter dropdown
+        categories = sorted(set(c['category'] for c in companies if c['category']))
+
+        # Convert companies list to objects with attribute access for template
+        class CompanyRow:
+            def __init__(self, data):
+                for key, value in data.items():
+                    setattr(self, key, value)
+
+        companies_objects = [CompanyRow(c) for c in companies]
+
+        return render_template('admin_seo_dashboard.html',
+            companies=companies_objects,
+            stats=stats,
+            categories=categories,
+            now=datetime.now()
+        )
+
+    finally:
+        db.close()
+
+
 @app.route('/api/check-email', methods=['POST'])
 def api_check_email():
     """API: Check if email is available"""