From f911b54dee41b176c1f6aff7710307e6fdfdb9f3 Mon Sep 17 00:00:00 2001
From: Nubenetes Bot <bot@nubenetes.com>
Date: Tue, 19 May 2026 21:09:23 +0200
Subject: [PATCH] feat: implement dual-layer summaries (V1 descriptive title +
 Rich English summary)

---
 src/v2_optimizer.py | 36 ++++++++++++++++++++++++++++++------
 1 file changed, 30 insertions(+), 6 deletions(-)

diff --git a/src/v2_optimizer.py b/src/v2_optimizer.py
index 2c1671da..6cbd037d 100644
--- a/src/v2_optimizer.py
+++ b/src/v2_optimizer.py
@@ -560,16 +560,40 @@ class V2VisionEngine:
                             color = "success" if "STANDARD" in tag else "warning" if "EMERGING" in tag else "secondary" if "CASE STUDY" in tag or "GUIDE" in tag else "info"
                             tag_html += f" <span class='md-tag md-tag--{color}'>{tag}</span>"
                         
-                        # Apply Visual Highlighting (Mandate 32)
+                    # Dual-Layer Strategy: Preserve descriptive V1 title + Rich English Summary
+                    title = l['title'].replace("==", "") # Title from V1, often descriptive
+                    if is_gold:
+                        img = f"    ![Preview]({l.get('social_preview_url')})\n" if l.get('social_preview_url') else ""
+                        md += f"!!! note \"{title}\"\n{img}    **[Access Resource]({l['url']})** {'🌟'*l.get('stars',4)} | Level: {l.get('complexity', 'Beginner')}\n    \n    {l.get('ai_summary', l.get('description', ''))}\n\n"
+                    else:
+                        year = l.get('year', 'N/A')
+                        year_prefix = f"**({year})** " if year != 'N/A' else ""
+                        gh_info = f" <span class='md-tag md-tag--info'>⭐ {l.get('gh_stars',0)}</span>" if l.get('gh_stars') else ""
+                        
+                        icon = " 🎥" if l.get("is_video") else ""
+                        lang = l.get("language", "English")
+                        lang_tag = f" <span class='md-tag md-tag--warning'>[{lang.upper()} CONTENT]</span>" if lang.lower() != "english" else ""
+                        comp = l.get("complexity", "Intermediate")
+                        level_tag = f" <span class='md-tag md-tag--critical'>[{comp.upper()} LEVEL]</span>" if comp.lower() in ["architect", "advanced"] else ""
+                        res_type = l.get("resource_type", "Reference")
+                        type_tag = f" <span class='md-tag md-tag--primary'>[{res_type.upper()}]</span>" if res_type.lower() in ["case study", "guide", "documentation"] else ""
+                        rich = "".join([f" <small>by **{l['author']}**</small>" if l.get("author") else "", f" <span class='md-tag md-tag--info'>⏱️ {l['duration']}</span>" if l.get("duration") else "", f" <span class='md-tag md-tag--info'>📖 {l['reading_time']}</span>" if l.get("reading_time") else ""])
+                        tag_html = ""
+                        for tag in l.get("tags", ["[COMMUNITY-TOOL]"]):
+                            color = "success" if "STANDARD" in tag else "warning" if "EMERGING" in tag else "secondary" if "CASE STUDY" in tag or "GUIDE" in tag else "info"
+                            tag_html += f" <span class='md-tag md-tag--{color}'>{tag}</span>"
+                        
+                        # Apply Visual Highlighting based on stars
                         raw_stars = l.get('stars', 0)
-                        link_text = title
+                        link_content = title
                         if raw_stars >= 5:
-                            link_text = f"=={title}=="
+                            link_content = f"=={title}=="
                         elif raw_stars >= 4:
-                            link_text = f"**{title}**"
+                            link_content = f"**{title}**"
                             
-                        md += f"  - {year_prefix}[{link_text}]({l['url']}){icon}{gh_info}{lang_tag}{level_tag}{type_tag}{rich} {'🌟'*raw_stars}{tag_html}\n"
-                        # Mandate 4: Render High-Density Summary with proper indentation (6 spaces for Markdown list nesting)
+                        md += f"  - {year_prefix}[{link_content}]({l['url']}){icon}{gh_info}{lang_tag}{level_tag}{type_tag}{rich} {'🌟'*raw_stars}{tag_html}\n"
+                        
+                        # Layer 2: High-Density Technical Summary (Professional English)
                         summary = l.get('ai_summary', l.get('description', ''))
                         if summary:
                             indented_summary = "\n".join([f"      {line}" if line.strip() else "" for line in summary.strip().split("\n")])