Update backend_docs_manager.py

backend_docs_manager.py

@@ -188,150 +188,23 @@ def should_update_comfyui_docs() -> bool:
 
 def get_gradio_docs_content() -> str:
     """Get the current Gradio documentation content, updating if necessary"""
-    global _gradio_docs_content, _gradio_docs_last_fetched
-    
-    # Check if we need to update
-    if (_gradio_docs_content is None or 
-        _gradio_docs_last_fetched is None or 
-        should_update_gradio_docs()):
-        
-        print("📚 Loading Gradio 6 documentation...")
-        
-        # Try to fetch latest content
-        latest_content = fetch_gradio_docs()
-        
-        if latest_content:
-            # Filter out problematic instructions that cause early termination
-            filtered_content = filter_problematic_instructions(latest_content)
-            _gradio_docs_content = filtered_content
-            _gradio_docs_last_fetched = datetime.now()
-            save_gradio_docs_cache(filtered_content)
-            print(f"✅ Gradio 6 documentation loaded successfully ({len(filtered_content)} chars)")
-        else:
-            # Fallback to cached content
-            cached_content = load_cached_gradio_docs()
-            if cached_content:
-                _gradio_docs_content = cached_content
-                _gradio_docs_last_fetched = datetime.now()
-                print(f"⚠️ Using cached Gradio documentation (network fetch failed) ({len(cached_content)} chars)")
-            else:
-                # Fallback to minimal content
-                _gradio_docs_content = """
-# Gradio API Reference (Offline Fallback)
-
-This is a minimal fallback when documentation cannot be fetched.
-Please check your internet connection for the latest API reference.
-
-Basic Gradio components: Button, Textbox, Slider, Image, Audio, Video, File, etc.
-Use gr.Blocks() for custom layouts and gr.Interface() for simple apps.
-
-For the latest documentation, visit: https://www.gradio.app/llms.txt
-"""
-                print("❌ Using minimal fallback documentation")
-    
-    return _gradio_docs_content or ""
+    # XÓA HOẶC SỬA TOÀN BỘ RUỘT HÀM THÀNH 2 DÒNG DƯỚI ĐÂY:
+    print("⚡ Bypassed Gradio Docs")
+    return "Minimal Gradio 6 Documentation for testing."
 
 def get_transformersjs_docs_content() -> str:
     """Get the current transformers.js documentation content, updating if necessary"""
-    global _transformersjs_docs_content, _transformersjs_docs_last_fetched
-    
-    # Check if we need to update
-    if (_transformersjs_docs_content is None or 
-        _transformersjs_docs_last_fetched is None or 
-        should_update_transformersjs_docs()):
-        
-        print("📚 Loading transformers.js documentation...")
-        
-        # Try to fetch latest content
-        latest_content = fetch_transformersjs_docs()
-        
-        if latest_content:
-            # Filter out problematic instructions that cause early termination
-            filtered_content = filter_problematic_instructions(latest_content)
-            _transformersjs_docs_content = filtered_content
-            _transformersjs_docs_last_fetched = datetime.now()
-            save_transformersjs_docs_cache(filtered_content)
-            print(f"✅ transformers.js documentation loaded successfully ({len(filtered_content)} chars)")
-        else:
-            # Fallback to cached content
-            cached_content = load_cached_transformersjs_docs()
-            if cached_content:
-                _transformersjs_docs_content = cached_content
-                _transformersjs_docs_last_fetched = datetime.now()
-                print(f"⚠️ Using cached transformers.js documentation (network fetch failed) ({len(cached_content)} chars)")
-            else:
-                # Fallback to minimal content
-                _transformersjs_docs_content = """
-# Transformers.js API Reference (Offline Fallback)
-
-This is a minimal fallback when documentation cannot be fetched.
-Please check your internet connection for the latest API reference.
-
-Transformers.js allows you to run 🤗 Transformers models directly in the browser using ONNX Runtime.
-
-Key features:
-- pipeline() API for common tasks (sentiment-analysis, text-generation, etc.)
-- Support for custom models via model ID or path
-- WebGPU support for GPU acceleration
-- Quantization support (fp32, fp16, q8, q4)
-
-Basic usage:
-```javascript
-import { pipeline } from '@huggingface/transformers';
-const pipe = await pipeline('sentiment-analysis');
-const out = await pipe('I love transformers!');
-```
+    # XÓA HOẶC SỬA TOÀN BỘ RUỘT HÀM THÀNH 2 DÒNG DƯỚI ĐÂY:
+    print("⚡ Bypassed Transformers.js Docs")
+    return "Minimal TransformersJS Documentation for testing."
 
-For the latest documentation, visit: https://huggingface.co/docs/transformers.js
-"""
-                print("❌ Using minimal fallback transformers.js documentation")
-    
-    return _transformersjs_docs_content or ""
 
 def get_comfyui_docs_content() -> str:
     """Get the current ComfyUI documentation content, updating if necessary"""
-    global _comfyui_docs_content, _comfyui_docs_last_fetched
-    
-    # Check if we need to update
-    if (_comfyui_docs_content is None or 
-        _comfyui_docs_last_fetched is None or 
-        should_update_comfyui_docs()):
-        
-        print("📚 Loading ComfyUI documentation...")
-        
-        # Try to fetch latest content
-        latest_content = fetch_comfyui_docs()
-        
-        if latest_content:
-            # Filter out problematic instructions that cause early termination
-            filtered_content = filter_problematic_instructions(latest_content)
-            _comfyui_docs_content = filtered_content
-            _comfyui_docs_last_fetched = datetime.now()
-            save_comfyui_docs_cache(filtered_content)
-            print(f"✅ ComfyUI documentation loaded successfully ({len(filtered_content)} chars)")
-        else:
-            # Fallback to cached content
-            cached_content = load_cached_comfyui_docs()
-            if cached_content:
-                _comfyui_docs_content = cached_content
-                _comfyui_docs_last_fetched = datetime.now()
-                print(f"⚠️ Using cached ComfyUI documentation (network fetch failed) ({len(cached_content)} chars)")
-            else:
-                # Fallback to minimal content
-                _comfyui_docs_content = """
-# ComfyUI API Reference (Offline Fallback)
-
-This is a minimal fallback when documentation cannot be fetched.
-Please check your internet connection for the latest API reference.
-
-Basic ComfyUI workflow structure: nodes, connections, inputs, outputs.
-Use CheckpointLoaderSimple, CLIPTextEncode, KSampler for basic workflows.
-
-For the latest documentation, visit: https://docs.comfy.org/llms.txt
-"""
-                print("❌ Using minimal fallback ComfyUI documentation")
-    
-    return _comfyui_docs_content or ""
+    # XÓA HOẶC SỬA TOÀN BỘ RUỘT HÀM THÀNH 2 DÒNG DƯỚI ĐÂY:
+    print("⚡ Bypassed ComfyUI Docs")
+    return "Minimal ComfyUI Documentation for testing."
+
 
 def build_gradio_system_prompt() -> str:
     """Build the complete Gradio system prompt with full documentation"""