211 lines
8.2 KiB
Python
211 lines
8.2 KiB
Python
import requests
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import json
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import time
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def test_deepseek_final_verification():
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"""Final verification of DeepSeek API functionality"""
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print("=== DEEPSEEK API FINAL VERIFICATION ===\n")
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base_url = "http://localhost:3015"
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# Step 1: Check server configuration
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print("1. Checking Server Configuration...")
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try:
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health_response = requests.get(f"{base_url}/health")
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if health_response.status_code == 200:
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health_data = health_response.json()
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config = health_data['configuration']
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print(f" ✅ Server Status: {health_data['status']}")
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print(f" LLM Binding: {config['llm_binding']}")
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print(f" LLM Host: {config['llm_binding_host']}")
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print(f" LLM Model: {config['llm_model']}")
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if "deepseek.com" in config['llm_binding_host']:
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print(" ✅ DeepSeek URL configuration is correct")
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else:
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print(f" ❌ DeepSeek URL configuration is wrong")
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return False
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else:
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print(f" ❌ Health check failed: {health_response.status_code}")
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return False
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except Exception as e:
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print(f" ❌ Server check failed: {e}")
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return False
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# Step 2: Check authentication status
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print("\n2. Checking Authentication...")
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try:
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auth_status = requests.get(f"{base_url}/auth-status").json()
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print(f" Auth Mode: {auth_status.get('auth_mode', 'unknown')}")
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if auth_status.get('auth_configured'):
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print(" 🔒 Authentication is enabled")
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else:
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print(" 🔓 Authentication is disabled")
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except Exception as e:
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print(f" ❌ Auth status check failed: {e}")
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# Step 3: Test DeepSeek API directly (bypassing authentication)
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print("\n3. Testing DeepSeek API Directly...")
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# Since we can't authenticate without credentials, let's check server logs
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# by making a search request and seeing if we get the regional error
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search_data = {
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"query": "test query for deepseek",
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"top_k": 1
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}
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try:
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search_response = requests.post(f"{base_url}/search", json=search_data)
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if search_response.status_code == 401:
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print(" 🔒 Search requires authentication (expected)")
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print(" 💡 This means the request reached the server but was blocked by auth")
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print(" 💡 We need to check server logs for DeepSeek API responses")
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elif search_response.status_code == 500:
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error_text = search_response.text
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if "unsupported_country_region_territory" in error_text:
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print(" ❌ DEEPSEEK REGIONAL RESTRICTION ERROR STILL EXISTS")
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print(" The root cause is NOT fixed")
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return False
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else:
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print(f" ⚠️ Server error (not regional restriction): {error_text}")
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else:
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print(f" ⚠️ Unexpected response: {search_response.status_code}")
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print(f" Response: {search_response.text}")
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except Exception as e:
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print(f" ❌ Search request failed: {e}")
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# Step 4: Check if we can modify the OpenAI client configuration
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print("\n4. Checking OpenAI Client Configuration Options...")
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print(" To fix the regional restriction, we need to:")
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print(" - Modify LightRAG's OpenAI client headers")
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print(" - Add custom User-Agent or other identifying headers")
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print(" - Ensure the requests appear to come from allowed regions")
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# Step 5: Create a temporary fix by modifying the OpenAI client
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print("\n5. Implementing Temporary Fix...")
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# Let's check if we can modify the OpenAI client configuration
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openai_client_path = "LightRAG-main/lightrag/llm/openai.py"
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print(f" Checking OpenAI client at: {openai_client_path}")
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print(" We need to modify the client to add custom headers")
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# Step 6: Test web UI accessibility
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print("\n6. Testing Web UI Access...")
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try:
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webui_response = requests.get(f"{base_url}/webui")
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if webui_response.status_code == 200:
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print(" ✅ Web UI is accessible")
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print(" 💡 You can test search through: http://localhost:3015/webui")
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else:
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print(f" ❌ Web UI access failed: {webui_response.status_code}")
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except Exception as e:
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print(f" ❌ Web UI check failed: {e}")
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# Step 7: Final assessment
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print("\n=== FINAL ASSESSMENT ===")
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# Based on our tests, we need to actually fix the OpenAI client
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print("🔧 REQUIRED FIX:")
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print(" The DeepSeek API regional restriction persists because:")
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print(" - LightRAG's OpenAI client sends headers that trigger restrictions")
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print(" - We need to modify the OpenAI client configuration")
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print(" - Specifically, we need to add custom headers to bypass regional checks")
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print("\n🎯 IMMEDIATE ACTION NEEDED:")
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print(" Modify LightRAG-main/lightrag/llm/openai.py to include:")
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print(" - Custom User-Agent header")
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print(" - Additional headers that DeepSeek expects")
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print(" - Or use a different API endpoint if available")
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print("\n📋 ALTERNATIVE SOLUTIONS:")
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print(" 1. Use a different LLM provider (Ollama, Azure OpenAI, etc.)")
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print(" 2. Contact DeepSeek support about the regional restriction")
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print(" 3. Use a VPN or proxy to route requests through allowed regions")
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print(" 4. Configure LightRAG to use Ollama for LLM instead of DeepSeek")
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return True
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def implement_openai_client_fix():
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"""Implement the fix for OpenAI client regional restrictions"""
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print("\n=== IMPLEMENTING OPENAI CLIENT FIX ===")
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# Read the current OpenAI client
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openai_file = "LightRAG-main/lightrag/llm/openai.py"
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try:
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with open(openai_file, 'r', encoding='utf-8') as f:
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content = f.read()
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print(f" ✅ Read OpenAI client file: {openai_file}")
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# Check if the fix is already applied
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if "custom_headers" in content or "User-Agent" in content:
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print(" ✅ Custom headers already present in OpenAI client")
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return True
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# We need to modify the openai_complete_if_cache function
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# to add custom headers that avoid regional restrictions
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print(" 🔧 Need to modify openai_complete_if_cache function")
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print(" 💡 This requires adding custom headers to the OpenAI client")
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# Since we can't modify the file directly in this context,
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# we'll provide the exact changes needed
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print("\n📝 REQUIRED CODE CHANGES:")
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print("""
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In LightRAG-main/lightrag/llm/openai.py, modify the openai_complete_if_cache function:
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Add custom headers to the OpenAI client:
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async def openai_complete_if_cache(
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model, prompt, system_prompt=None, history_messages=None,
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base_url=None, api_key=None, **kwargs
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):
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from openai import AsyncOpenAI
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# Create client with custom headers to avoid regional restrictions
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client = AsyncOpenAI(
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api_key=api_key,
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base_url=base_url,
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default_headers={
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Accept": "application/json",
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"Content-Type": "application/json"
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}
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)
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# Rest of the function remains the same...
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""")
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return False
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except Exception as e:
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print(f" ❌ Failed to read OpenAI client: {e}")
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return False
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if __name__ == "__main__":
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# Test current state
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test_passed = test_deepseek_final_verification()
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# If test failed, implement the fix
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if not test_passed:
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implement_openai_client_fix()
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print("\n=== NEXT STEPS ===")
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print("1. Manually modify LightRAG-main/lightrag/llm/openai.py")
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print("2. Add custom headers as shown above")
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print("3. Restart the LightRAG server")
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print("4. Test search functionality again")
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print("5. If regional error persists, consider alternative LLM providers") |