Update README with social media usernames

README.md

@@ -248,8 +248,8 @@ MIT License - see [LICENSE](LICENSE) for details.
 
 ## Author
 
-**Ajay Maurya** - AI Engineer  
-[LinkedIn](https://linkedin.com/in/ajaymaurya) | [GitHub](https://github.com/ajaymaurya)
+**Ajay Maurya** - AI Engineer
+[LinkedIn](https://linkedin.com/in/ajaymauryabbn) | [GitHub](https://github.com/ajaymauryabbn)
 
 ---
 

examples/basic_usage.py

@@ -16,7 +16,7 @@
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
 from sql_eval import Evaluator
-from sql_eval.datasets import load_ecommerce, get_dataset_info
+from sql_eval.datasets import get_dataset_info, load_ecommerce
 from sql_eval.llm_providers import get_provider
 
 
@@ -29,7 +29,7 @@ def main():
         provider_name = 'ollama'
     else:
         provider_name = 'openai'
-    
+
     # Show dataset info
     print("\n" + "=" * 50)
     print("Dataset Information")
@@ -38,42 +38,42 @@ def main():
     print(f"Name: {info['name']}")
     print(f"Questions: {info['num_questions']}")
     print(f"Tables: {', '.join(info['tables'])}")
-    print(f"\nDifficulty breakdown:")
+    print("\nDifficulty breakdown:")
     for diff, count in info['difficulty_breakdown'].items():
         print(f"  {diff}: {count}")
-    
+
     # Load dataset
     print("\n" + "=" * 50)
     print("Loading Dataset")
     print("=" * 50)
     test_cases, schema, db = load_ecommerce(with_db=True)
     print(f"Loaded {len(test_cases)} test cases")
-    
+
     # Limit to first 5 for quick demo
     test_cases = test_cases[:5]
     print(f"Running evaluation on {len(test_cases)} questions (limited for demo)")
-    
+
     # Initialize provider
     print(f"\nUsing LLM provider: {provider_name}")
     try:
         provider = get_provider(provider_name)
     except Exception as e:
         print(f"Error initializing provider: {e}")
         return
-    
+
     # Create evaluator
     evaluator = Evaluator(
         llm_provider=provider,
         schema=schema,
         db_connector=db,
         verbose=True
     )
-    
+
     # Run evaluation
     print("\n" + "=" * 50)
     print("Running Evaluation")
     print("=" * 50)
-    
+
     try:
         report = evaluator.evaluate(
             test_cases,
@@ -83,24 +83,24 @@ def main():
         print(f"\nError during evaluation: {e}")
         print("\nTip: Make sure your LLM provider is properly configured")
         return
-    
+
     # Show detailed results
     print("\n" + "=" * 50)
     print("Detailed Results")
     print("=" * 50)
-    
+
     for result in report.results:
         status = "✓" if result.exact_match else "✗"
         print(f"\n{status} {result.question_id}: {result.question[:50]}...")
         print(f"  Expected: {result.ground_truth_sql[:60]}...")
         print(f"  Got:      {result.generated_sql[:60]}...")
         if not result.exact_match and result.partial_scores:
             print(f"  Structural score: {result.partial_scores.overall_score:.1%}")
-    
+
     # Cleanup
     if db:
         db.disconnect()
-    
+
     print("\n" + "=" * 50)
     print("Done!")
     print("=" * 50)

pyproject.toml

@@ -72,6 +72,8 @@ target-version = ['py310', 'py311', 'py312']
 
 [tool.ruff]
 line-length = 100
+
+[tool.ruff.lint]
 select = ["E", "F", "W", "I"]
 ignore = ["E501"]
 

sql_eval/__init__.py

@@ -8,11 +8,11 @@
 __author__ = "Ajay Maurya"
 
 from sql_eval.core.evaluator import Evaluator
-from sql_eval.core.models import EvaluationCase, EvaluationResult, EvaluationReport
+from sql_eval.core.models import EvaluationCase, EvaluationReport, EvaluationResult
 
 __all__ = [
     "Evaluator",
-    "EvaluationCase", 
+    "EvaluationCase",
     "EvaluationResult",
     "EvaluationReport",
 ]