From 90af62b7f0a75e516e6c2f0dd8c168a6a6f549c1 Mon Sep 17 00:00:00 2001
From: 7000pctAUTO <lukems3823@gmail.com>
Date: Fri, 30 Jan 2026 09:12:09 +0000
Subject: [PATCH] Add monitor and search tests

---
 tests/test_search.py | 66 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 tests/test_search.py

diff --git a/tests/test_search.py b/tests/test_search.py
new file mode 100644
index 0000000..ad90a24
--- /dev/null
+++ b/tests/test_search.py
@@ -0,0 +1,66 @@
+"""Tests for DevTrace search module."""
+
+import pytest
+from unittest.mock import Mock, patch, MagicMock
+
+from src.search.embeddings import EmbeddingManager
+from src.search.semantic import SemanticSearch
+
+
+class TestEmbeddingManager:
+    """Tests for EmbeddingManager."""
+
+    def test_manager_creation(self):
+        """Test manager creation."""
+        manager = EmbeddingManager()
+
+        assert manager.model_name == "all-MiniLM-L6-v2"
+
+    def test_content_to_string(self):
+        """Test content to string conversion."""
+        manager = EmbeddingManager()
+
+        assert manager._content_to_string("test") == "test"
+
+        result = manager._content_to_string({"key": "value"})
+        assert "key" in result
+        assert "value" in result
+
+    def test_compute_similarity(self):
+        """Test cosine similarity computation."""
+        manager = EmbeddingManager()
+
+        embedding1 = [1.0, 0.0, 0.0]
+        embedding2 = [1.0, 0.0, 0.0]
+        embedding3 = [-1.0, 0.0, 0.0]
+
+        sim_same = manager.compute_similarity(embedding1, embedding2)
+        sim_opposite = manager.compute_similarity(embedding1, embedding3)
+
+        assert sim_same == pytest.approx(1.0, abs=0.01)
+        assert sim_opposite == pytest.approx(-1.0, abs=0.01)
+
+
+class TestSemanticSearch:
+    """Tests for SemanticSearch."""
+
+    def test_search_creation(self):
+        """Test search creation."""
+        search = SemanticSearch()
+
+        assert search.embedding_manager is not None
+
+    def test_keyword_search(self):
+        """Test keyword search fallback."""
+        search = SemanticSearch()
+
+        documents = {
+            1: {"content": "python test file"},
+            2: {"content": "javascript web app"},
+            3: {"content": "python api server"}
+        }
+
+        results = search._keyword_search("python", documents)
+
+        assert len(results) == 2
+        assert all(r["score"] > 0 for r in results)