Update seo_analyzer.py

seo_analyzer.py

@@ -1127,279 +1127,6 @@ def calculate_seo_score(page):
 
     return min(score, max_score)
 
-# def calculate_seo_score(page):
-#     """Calculate comprehensive SEO score"""
-#     score = 0
-#     max_score = 100
-
-#     # ===== TITLE OPTIMIZATION (10 points) =====
-#     title = page.get('title', '')
-#     if title:
-#         title_len = len(title)
-#         if 50 <= title_len <= 60:  # Perfect
-#             score += 10
-#         elif 45 <= title_len <= 65:  # Good
-#             score += 8
-#         elif 30 <= title_len <= 70:  # Acceptable
-#             score += 6
-#         elif title_len > 0:  # Exists but poor
-#             score += 3
-
-#     # ===== META DESCRIPTION (8 points) =====
-#     meta_desc = page.get('meta_description', '')
-#     if meta_desc:
-#         meta_len = len(meta_desc)
-#         if 120 <= meta_len <= 155:  # Perfect
-#             score += 8
-#         elif 100 <= meta_len <= 160:  # Good
-#             score += 6
-#         elif 70 <= meta_len <= 170:  # Acceptable
-#             score += 4
-#         elif meta_len > 0:  # Exists but poor
-#             score += 2
-
-#     # ===== HEADING STRUCTURE (12 points) =====
-#     h1_count = page.get('h1_count', 0)
-#     heading_order = page.get('heading_order', '')
-
-#     # H1 Score (6 points)
-#     if h1_count == 1:  # Perfect
-#         score += 6
-#     elif h1_count == 0:  # Critical
-#         score += 0
-#     elif h1_count == 2:  # Minor issue
-#         score += 4
-#     else:  # Multiple H1s
-#         score += 1
-
-#     # Heading Hierarchy (6 points)
-#     if heading_order:
-#         headings = [h.strip() for h in heading_order.split(',')]
-#         heading_levels = []
-
-#         for heading in headings:
-#             if heading.startswith('h'):
-#                 try:
-#                     level = int(heading[1])
-#                     heading_levels.append(level)
-#                 except:
-#                     continue
-
-#         if len(heading_levels) >= 3:
-#             has_h1 = 1 in heading_levels
-#             has_h2 = 2 in heading_levels
-#             has_multiple_levels = len(set(heading_levels)) >= 2
-
-#             if has_h1 and has_h2 and has_multiple_levels:
-#                 score += 6
-#             elif has_h1 and has_multiple_levels:
-#                 score += 4
-#             elif has_h1:
-#                 score += 2
-#         elif len(heading_levels) >= 1:
-#             score += 2
-
-#     # ===== IMAGE OPTIMIZATION (15 points) =====
-#     total_images = page.get('total_images', 0)
-#     missing_alt_tags = page.get('missing_alt_tags', 0)
-#     small_images = page.get('small_images', 0)
-#     large_images = page.get('large_images', 0)
-#     ideal_images = page.get('ideal_images', 0)
-
-#     # Alt Text Score (5 points)
-#     if total_images == 0:
-#         score += 5
-#     else:
-#         alt_ratio = (total_images - missing_alt_tags) / total_images
-#         if alt_ratio >= 0.95:
-#             score += 5
-#         elif alt_ratio >= 0.80:
-#             score += 4
-#         elif alt_ratio >= 0.60:
-#             score += 3
-#         elif alt_ratio >= 0.40:
-#             score += 2
-#         elif alt_ratio > 0:
-#             score += 1
-
-#     # Image Size Optimization (5 points)
-#     if total_images > 0:
-#         ideal_ratio = ideal_images / total_images
-#         if ideal_ratio >= 0.8:
-#             score += 5
-#         elif ideal_ratio >= 0.6:
-#             score += 4
-#         elif ideal_ratio >= 0.4:
-#             score += 3
-#         elif ideal_ratio >= 0.2:
-#             score += 2
-#         else:
-#             score += 1
-#     else:
-#         score += 5
-
-#     # Image Quantity (5 points)
-#     if total_images == 0:
-#         score += 3
-#     elif 3 <= total_images <= 20:
-#         score += 5
-#     elif total_images <= 50:
-#         score += 4
-#     elif total_images <= 100:
-#         score += 3
-#     else:
-#         score += 2
-
-#     # ===== LINK STRUCTURE (10 points) =====
-#     internal_links = page.get('internal_links', 0)
-#     external_links = page.get('external_links', 0)
-
-#     # Internal Links (6 points)
-#     if internal_links >= 80:
-#         score += 6
-#     elif internal_links >= 60:
-#         score += 5
-#     elif internal_links >= 40:
-#         score += 4
-#     elif internal_links >= 20:
-#         score += 3
-#     elif internal_links >= 10:
-#         score += 2
-
-#     # External Links (4 points)
-#     if external_links >= 10:
-#         score += 4
-#     elif external_links >= 7:
-#         score += 3
-#     elif external_links >= 4:
-#         score += 2
-
-#     # ===== TECHNICAL SEO (20 points) =====
-#     # Canonical Tag (3 points)
-#     if page.get('canonical_tag', False):
-#         score += 3
-
-#     # Robots Meta (3 points)
-#     robots_meta = page.get('robots_meta', '')
-#     if robots_meta:
-#         robots_lower = robots_meta.lower()
-#         if 'noindex' not in robots_lower and 'nofollow' not in robots_lower:
-#             score += 3
-#         elif 'noindex' in robots_lower:
-#             score += 0
-#         else:
-#             score += 2
-#     else:
-#         score += 2
-
-#     # Viewport (3 points)
-#     if page.get('viewport_present', False):
-#         score += 3
-
-#     # Schema Markup (4 points)
-#     schema_types = page.get('schema_types', '')
-#     if schema_types and schema_types.strip() and schema_types != "No schema found":
-#         schema_count = len([s for s in schema_types.split(', ') if s.strip()])
-#         if schema_count >= 3:
-#             score += 4
-#         elif schema_count >= 2:
-#             score += 3
-#         elif schema_count == 1:
-#             score += 2
-
-#     # OpenGraph Tags (4 points)
-#     opengraph_tags = page.get('opengraph_tags', 0)
-#     if opengraph_tags >= 10:
-#         score += 4
-#     elif opengraph_tags >= 7:
-#         score += 3
-#     elif opengraph_tags >= 5:
-#         score += 2
-#     elif opengraph_tags >= 3:
-#         score += 1
-
-#     # Twitter Cards (3 points)
-#     twitter_tags = page.get('twitter_tags', 0)
-#     if twitter_tags >= 5:
-#         score += 3
-#     elif twitter_tags >= 3:
-#         score += 2
-#     elif twitter_tags >= 1:
-#         score += 1
-
-#     # ===== CONTENT QUALITY (25 points) =====
-#     word_count = page.get('word_count', 0)
-#     readability_score = page.get('readability_score', 0)
-#     grammar_errors = page.get('grammar_errors', 0)
-#     text_to_html_ratio = page.get('text_to_html_ratio', 0)
-#     top_keywords = page.get('top_keywords', '')
-
-#     # Word Count (6 points)
-#     if word_count >= 2000:
-#         score += 6
-#     elif word_count >= 1200:
-#         score += 5
-#     elif word_count >= 800:
-#         score += 4
-#     elif word_count >= 500:
-#         score += 3
-#     elif word_count >= 300:
-#         score += 2
-#     elif word_count >= 150:
-#         score += 1
-
-#     # Readability (6 points)
-#     if readability_score >= 50:
-#         score += 6
-#     elif readability_score >= 45:
-#         score += 5
-#     elif readability_score >= 40:
-#         score += 4
-#     elif readability_score >= 35:
-#         score += 3
-#     elif readability_score >= 20:
-#         score += 2
-#     elif readability_score >= 10:
-#         score += 1
-
-#     # Grammar (4 points)
-#     if grammar_errors == 0:
-#         score += 4
-#     elif grammar_errors <= 2:
-#         score += 3
-#     elif grammar_errors <= 5:
-#         score += 2
-#     elif grammar_errors <= 10:
-#         score += 1
-
-#     # Text to HTML Ratio (5 points)
-#     if text_to_html_ratio >= 25:
-#         score += 5
-#     elif text_to_html_ratio >= 20:
-#         score += 4
-#     elif text_to_html_ratio >= 15:
-#         score += 3
-#     elif text_to_html_ratio >= 10:
-#         score += 2
-#     elif text_to_html_ratio >= 5:
-#         score += 1
-
-#     # Keyword Optimization (4 points)
-#     if top_keywords:
-#         keyword_entries = [k for k in top_keywords.split(', ') if ':' in k and float(k.split(':')[1][:-1]) > 1.0]
-#         keyword_count = len(keyword_entries)
-
-#         if keyword_count >= 8:
-#             score += 4
-#         elif keyword_count >= 5:
-#             score += 3
-#         elif keyword_count >= 3:
-#             score += 2
-#         elif keyword_count >= 1:
-#             score += 1
-
-#     return min(score, max_score)
-
 # ==============================
 # ENHANCED MAIN FUNCTION WITH ULTRA-SPECIFIC AI SUGGESTIONS
 # ==============================