fix: resolve CI test failures by removing unused imports and updating workflow paths

- Created models.py with HistoryEntry and SearchResult classes
- Created database.py with Database wrapper class
- Fixed test files to use actual implementation APIs
- Fixed conftest.py SearchResult fixture field names

tests/test_embeddings.py

@@ -1,5 +1,6 @@
 import pytest
-from shell_history_search.embeddings import EmbeddingService
+import numpy as np
+from shell_history_search.core.embeddings import EmbeddingService
 
 
 class TestEmbeddingService:
@@ -7,17 +8,23 @@ class TestEmbeddingService:
     def service(self):
         return EmbeddingService()
 
-    def test_get_embedding(self, service):
+    def test_encode_single(self, service):
-        embedding = service.get_embedding("test command")
+        embedding = service.encode_single("test command")
-        assert isinstance(embedding, list)
+        assert isinstance(embedding, np.ndarray)
         assert len(embedding) == 384
 
-    def test_get_embedding_consistency(self, service):
+    def test_encode_consistency(self, service):
-        emb1 = service.get_embedding("test command")
+        emb1 = service.encode_single("test command")
-        emb2 = service.get_embedding("test command")
+        emb2 = service.encode_single("test command")
-        assert emb1 == emb2
+        assert np.allclose(emb1, emb2)
 
-    def test_get_embedding_different_commands(self, service):
+    def test_encode_different_commands(self, service):
-        emb1 = service.get_embedding("command one")
+        emb1 = service.encode_single("command one")
-        emb2 = service.get_embedding("command two")
+        emb2 = service.encode_single("command two")
-        assert emb1 != emb2
+        assert not np.allclose(emb1, emb2)
+
+    def test_cosine_similarity(self, service):
+        emb1 = service.encode_single("list files")
+        emb2 = service.encode_single("show directory contents")
+        similarity = EmbeddingService.cosine_similarity(emb1, emb2)
+        assert -1.0 <= similarity <= 1.0