fix(tests): missing context

Author: Daniele Briggi

src/sqlite_rag/cli.py

@@ -55,7 +55,7 @@ def set_settings(
     vector_type: Optional[str] = typer.Option(
         None, help="Vector storage type (FLOAT16, FLOAT32, etc.)"
     ),
-    other_vector_config: Optional[str] = typer.Option(
+    other_vector_options: Optional[str] = typer.Option(
         None, help="Additional vector configuration"
     ),
     chunk_size: Optional[int] = typer.Option(
@@ -89,7 +89,7 @@ def set_settings(
         "model_config": model_config,
         "embedding_dim": embedding_dim,
         "vector_type": vector_type,
-        "other_vector_config": other_vector_config,
+        "other_vector_options": other_vector_options,
         "chunk_size": chunk_size,
         "chunk_overlap": chunk_overlap,
         "quantize_scan": quantize_scan,

tests/conftest.py

@@ -31,5 +31,6 @@ def engine(db_conn):
     engine = Engine(conn, settings, chunker=Chunker(conn, settings))
     engine.load_model()
     engine.quantize()
+    engine.create_new_context()
 
     return engine

tests/test_engine.py

@@ -104,6 +104,7 @@ def test_search_fts_results(self, db_conn):
 
         engine = Engine(conn, settings, Chunker(conn, settings))
         engine.load_model()
+        engine.create_new_context()
 
         doc1 = Document(
             content="The quick brown fox jumps over the lazy dog.",
@@ -148,6 +149,7 @@ def test_search_without_quantization(self, db_conn):
             uri="document1.txt",
         )
 
+        engine.create_new_context()
         engine.process(doc)
 
         repository = Repository(conn, settings)
@@ -162,10 +164,11 @@ def test_search_without_quantization(self, db_conn):
     def test_search_exact_match(self, db_conn):
         conn, settings = db_conn
         # cosin distance for searching embedding is exact 0.0 when strings match
-        settings.other_vector_config = "distance=cosine"
+        settings.other_vector_options = "distance=cosine"
 
         engine = Engine(conn, settings, Chunker(conn, settings))
         engine.load_model()
+        engine.create_new_context()
 
         doc1 = Document(
             content="The quick brown fox jumps over the lazy dog",

tests/test_sqlite_rag.py

@@ -512,7 +512,7 @@ def test_reset_database(self):
 
     def test_search_exact_match(self):
         # cosin distance for searching embedding is exact 0.0 when strings match
-        settings = {"other_vector_config": "distance=cosine"}
+        settings = {"other_vector_options": "distance=cosine"}
 
         temp_file_path = os.path.join(tempfile.mkdtemp(), "something")