style: apply black code formatting

- Fixed import statement spacing in ingestion_pipeline.py
- Reformatted long print statements and assertions in test_end_to_end_phase2b.py
- Applied black formatting to ensure CI/CD pipeline compatibility
- All formatting changes are cosmetic with no functional impact

src/ingestion/ingestion_pipeline.py

@@ -95,8 +95,9 @@ class IngestionPipeline:
             Dictionary with processing results and statistics
         """
         import time
+
         start_time = time.time()
-        
+
         directory = Path(directory_path)
         if not directory.exists():
             raise FileNotFoundError(f"Directory not found: {directory_path}")

tests/test_integration/test_end_to_end_phase2b.py

@@ -132,7 +132,9 @@ class TestPhase2BEndToEnd:
 
             # Relevance validation - relaxed threshold for testing
             top_result = search_results[0]
-            print(f"Query: '{query}' - Top similarity: {top_result['similarity_score']}")
+            print(
+                f"Query: '{query}' - Top similarity: {top_result['similarity_score']}"
+            )
             assert top_result["similarity_score"] >= 0.0, (
                 f"Top result for '{query}' has invalid similarity: "
                 f"{top_result['similarity_score']}"
@@ -415,8 +417,12 @@ class TestPhase2BEndToEnd:
 
                 # Validate content quality
                 assert result_item["content"] is not None, "Content should not be None"
-                assert isinstance(result_item["content"], str), "Content should be a string"
-                assert len(result_item["content"].strip()) > 0, "Content should not be empty"
+                assert isinstance(
+                    result_item["content"], str
+                ), "Content should be a string"
+                assert (
+                    len(result_item["content"].strip()) > 0
+                ), "Content should not be empty"
                 assert result_item["similarity_score"] >= 0.0
                 assert isinstance(result_item["metadata"], dict)