fix: sanitize SQL and narrow exception handling in indexer

src/companion/rag/indexer.py

@@ -6,7 +6,7 @@ from typing import Dict, Iterator, List
 from companion.config import Config
 from companion.rag.chunker import Chunk, ChunkingRule, chunk_file
 from companion.rag.embedder import OllamaEmbedder
-from companion.rag.vector_store import VectorStore
+from companion.rag.vector_store import VectorStore, TABLE_NAME
 
 
 class Indexer:
@@ -106,8 +106,8 @@ class Indexer:
 
     def full_index(self) -> None:
         try:
-            self.vector_store.table.drop()
+            self.vector_store.db.drop_table(TABLE_NAME)
-        except Exception:
+        except (FileNotFoundError, ValueError):
             pass
         self.vector_store.table = self.vector_store._get_or_create_table()
 
@@ -120,10 +120,11 @@ class Indexer:
             relative_path = file_path.relative_to(self.vault_path).as_posix()
             modified_at = file_path.stat().st_mtime
 
+            escaped_path = relative_path.replace("'", "''")
             results = (
                 self.vector_store.table.search()
                 .limit(1)
-                .where(f"source_file = '{relative_path}'")
+                .where(f"source_file = '{escaped_path}'")
                 .to_list()
             )
 

tests/test_indexer.py

@@ -153,3 +153,32 @@ def test_full_index_creates_vectors(mock_embedder_cls):
         indexer = Indexer(config, store)
         indexer.full_index()
         assert store.count() == 1
+
+
+@patch("companion.rag.indexer.OllamaEmbedder")
+def test_sync_updates_changed_files(mock_embedder_cls):
+    mock_embedder = MagicMock()
+    mock_embedder.embed.return_value = [[1.0, 0.0, 0.0, 0.0]]
+    mock_embedder_cls.return_value = mock_embedder
+
+    with tempfile.TemporaryDirectory() as tmp:
+        vault = Path(tmp) / "vault"
+        vault.mkdir()
+        file_path = vault / "hello.md"
+        file_path.write_text("hello world", encoding="utf-8")
+        vs_path = Path(tmp) / "vectors"
+        config = _make_config(vault, vs_path)
+        store = VectorStore(uri=vs_path, dimensions=4)
+        indexer = Indexer(config, store)
+
+        indexer.full_index()
+        assert store.count() == 1
+        first_text = store.table.to_pandas()["text"].iloc[0]
+        assert first_text == "hello world"
+
+        file_path.write_text("updated content", encoding="utf-8")
+        indexer.sync()
+
+        assert store.count() == 1
+        updated_text = store.table.to_pandas()["text"].iloc[0]
+        assert updated_text == "updated content"