Translate index.md too

nodes.py

@@ -486,7 +486,7 @@ class WriteChapters(BatchNode):
         # Add language instruction if not English
         language_instruction = ""
         if language.lower() != "english":
-            language_instruction = f"Write this tutorial chapter in {language}. Ensure all explanations, examples, and comments are in {language}.\n\n"
+            language_instruction = f"IMPORTANT: Write this ENTIRE tutorial chapter in {language} language. You MUST translate ALL content including explanations, examples, code comments, and technical terms into {language}. DO NOT use English anywhere except in code syntax and proper nouns. The entire output should be in {language} only.\n\n"
 
         prompt = f"""
 {language_instruction}
@@ -599,17 +599,49 @@ class CombineTutorial(Node):
         # --- End Mermaid ---
 
 
-        # Prepare index.md content
+        # Get language from shared store, default to English
-        index_content = f"# Tutorial: {project_name}\n\n"
+        language = shared.get("language", "english")
-        index_content += f"{relationships_data['summary']}\n\n"
-        index_content += f"**Source Repository:** [{repo_url}]({repo_url})\n\n"
 
-        # Add Mermaid diagram for relationships
+        # Prepare index.md content with language-specific titles
-        index_content += "```mermaid\n"
+        if language.lower() != "english":
-        index_content += mermaid_diagram + "\n"
+            # For non-English languages, translate the content using LLM
-        index_content += "```\n\n"
 
-        index_content += "## Chapters\n\n"
+            # 1. Translate the title
+            title_prompt = f"Translate only the word 'Tutorial' to {language} language. Respond with just the translated word, nothing else."
+            translated_title = call_llm(title_prompt).strip()
+            index_content = f"# {translated_title}: {project_name}\n\n"
+
+            # 2. Translate the relationship summary
+            summary_prompt = f"Translate the following text to {language} language:\n\n{relationships_data['summary']}"
+            translated_summary = call_llm(summary_prompt)
+            index_content += f"{translated_summary}\n\n"
+
+            # 3. Translate "Source Repository"
+            repo_prompt = f"Translate only the phrase 'Source Repository' to {language} language. Respond with just the translated phrase, nothing else."
+            translated_repo = call_llm(repo_prompt).strip()
+            index_content += f"**{translated_repo}:** [{repo_url}]({repo_url})\n\n"
+
+            # Add Mermaid diagram for relationships
+            index_content += "```mermaid\n"
+            index_content += mermaid_diagram + "\n"
+            index_content += "```\n\n"
+
+            # 4. Translate "Chapters"
+            chapters_prompt = f"Translate only the word 'Chapters' to {language} language. Respond with just the translated word, nothing else."
+            translated_chapters = call_llm(chapters_prompt).strip()
+            index_content += f"## {translated_chapters}\n\n"
+        else:
+            # Original English content
+            index_content = f"# Tutorial: {project_name}\n\n"
+            index_content += f"{relationships_data['summary']}\n\n"
+            index_content += f"**Source Repository:** [{repo_url}]({repo_url})\n\n"
+
+            # Add Mermaid diagram for relationships
+            index_content += "```mermaid\n"
+            index_content += mermaid_diagram + "\n"
+            index_content += "```\n\n"
+
+            index_content += "## Chapters\n\n"
 
         chapter_files = []
         # Generate chapter links based on the determined order
@@ -627,15 +659,32 @@ class CombineTutorial(Node):
                 chapter_content = chapters_content[i]
                 if not chapter_content.endswith("\n\n"):
                     chapter_content += "\n\n"
-                chapter_content += "---\n\nGenerated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
+
+                # Add attribution with language-specific text
+                if language.lower() != "english":
+                    # Translate "Generated by" to the target language
+                    gen_prompt = f"Translate only the phrase 'Generated by' to {language} language. Respond with just the translated phrase, nothing else."
+                    translated_gen = call_llm(gen_prompt).strip()
+                    chapter_content += f"---\n\n{translated_gen} [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
+                else:
+                    chapter_content += "---\n\nGenerated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
 
                 # Store filename and corresponding content
                 chapter_files.append({"filename": filename, "content": chapter_content})
             else:
                  print(f"Warning: Mismatch between chapter order, abstractions, or content at index {i} (abstraction index {abstraction_index}). Skipping file generation for this entry.")
 
-        # Add attribution to index content
+        # Add attribution to index content with language-specific text
-        index_content += "\n\n---\n\nGenerated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
+        if language.lower() != "english":
+            # We already have the translated "Generated by" phrase from above, reuse it
+            # If not available (which shouldn't happen), translate it again
+            if 'translated_gen' not in locals():
+                gen_prompt = f"Translate only the phrase 'Generated by' to {language} language. Respond with just the translated phrase, nothing else."
+                translated_gen = call_llm(gen_prompt).strip()
+
+            index_content += f"\n\n---\n\n{translated_gen} [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
+        else:
+            index_content += "\n\n---\n\nGenerated by [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)"
 
         return {
             "output_path": output_path,