fix: update port

app/services/ocr_service.py

@@ -489,7 +489,7 @@ class MineruOCRService(OCRServiceBase):
         api_url: str = "http://127.0.0.1:8000/file_parse",
         image_processor: Optional[ImageProcessor] = None,
         converter: Optional[Converter] = None,
-        paddleocr_vl_url: str = "http://localhost:8001/v1",
+        paddleocr_vl_url: str = "http://localhost:8000/v1",
     ):
         """Initialize Local API service.
 

test_paddleocr_vl_integration.py

@@ -1,53 +0,0 @@
-"""Test script for PaddleOCR-VL integration in MineruOCRService."""
-
-import cv2
-import numpy as np
-from app.services.ocr_service import MineruOCRService
-from app.services.converter import Converter
-from app.services.image_processor import ImageProcessor
-
-def test_paddleocr_vl_integration():
-    """Test that PaddleOCR-VL is called when image references are found."""
-    
-    # Create a simple test image (white background with black text)
-    test_image = np.ones((100, 300, 3), dtype=np.uint8) * 255
-    cv2.putText(test_image, "x^2 + y^2 = 1", (50, 50), 
-                cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)
-    
-    # Initialize service
-    service = MineruOCRService(
-        api_url="http://127.0.0.1:8000/file_parse",
-        converter=Converter(),
-        image_processor=ImageProcessor(),
-        paddleocr_vl_url="http://localhost:8000/v1"  # Your PaddleOCR-VL server
-    )
-    
-    # Simulate markdown with image reference (this is what Mineru returns)
-    test_markdown = "![](images/af7f211f671f16f57d346e8e17611e68e0f4671bd1ae52ed59013c10eecef589.jpg)"
-    
-    print("Testing formula extraction...")
-    result = service._extract_and_recognize_formulas(test_markdown, test_image)
-    
-    print(f"\nOriginal markdown: {test_markdown}")
-    print(f"Processed markdown: {result}")
-    
-    # Check if the image reference was replaced
-    if "![](images/" in result:
-        print("\n❌ FAILED: Image reference was not replaced")
-    else:
-        print("\n✅ SUCCESS: Image reference was replaced with formula")
-
-if __name__ == "__main__":
-    print("=" * 60)
-    print("PaddleOCR-VL Integration Test")
-    print("=" * 60)
-    print("\nMake sure your PaddleOCR-VL server is running at:")
-    print("http://localhost:8000/v1")
-    print("\n" + "=" * 60 + "\n")
-    
-    try:
-        test_paddleocr_vl_integration()
-    except Exception as e:
-        print(f"\n❌ Test failed with error: {e}")
-        import traceback
-        traceback.print_exc()

test_vllm_connection.py

@@ -1,62 +0,0 @@
-"""Quick test to verify PaddleOCR-VL connection."""
-
-from openai import OpenAI
-import base64
-import cv2
-import numpy as np
-
-# Create test image
-test_image = np.ones((100, 300, 3), dtype=np.uint8) * 255
-cv2.putText(test_image, "x^2 = 4", (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2)
-
-# Encode to base64
-success, encoded_image = cv2.imencode(".png", test_image)
-if not success:
-    print("Failed to encode image")
-    exit(1)
-
-image_base64 = base64.b64encode(encoded_image.tobytes()).decode("utf-8")
-image_url = f"data:image/png;base64,{image_base64}"
-
-# Test connection
-client = OpenAI(
-    api_key="EMPTY",
-    base_url="http://100.115.184.74:8001/v1",
-    timeout=3600
-)
-
-print("Testing PaddleOCR-VL connection...")
-print(f"Server: http://100.115.184.74:8001/v1")
-print(f"Model: PaddleOCR-VL-0.9B")
-print("-" * 60)
-
-try:
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {
-                    "type": "image_url",
-                    "image_url": {"url": image_url}
-                },
-                {
-                    "type": "text",
-                    "text": "Formula Recognition:"
-                }
-            ]
-        }
-    ]
-
-    response = client.chat.completions.create(
-        model="PaddleOCR-VL-0.9B",
-        messages=messages,
-        temperature=0.0,
-    )
-    
-    print("✅ SUCCESS!")
-    print(f"Response: {response.choices[0].message.content}")
-    
-except Exception as e:
-    print(f"❌ FAILED: {e}")
-    import traceback
-    traceback.print_exc()