test: expand coverage to 92% with production-realistic fixtures

Add conftest.py with shared fixtures, new test_qdrant_service.py covering all QdrantService methods, and expand curator/proxy/integration/utils tests to cover debug_log, forward_to_ollama, curator.run(), load_system_prompt, and health check edge cases. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-01 16:20:35 -05:00
parent 6154e7974e
commit de7f3a78ab
6 changed files with 851 additions and 2 deletions
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -0,0 +1,62 @@
+"""Shared test fixtures using production-realistic data."""
+import pytest
+from unittest.mock import AsyncMock, MagicMock, patch
+from app.config import Config
+
+
+@pytest.fixture
+def production_config():
+    """Config matching production deployment on deb8."""
+    config = MagicMock(spec=Config)
+    config.ollama_host = "http://10.0.0.10:11434"
+    config.qdrant_host = "http://10.0.0.22:6333"
+    config.qdrant_collection = "memories"
+    config.embedding_model = "snowflake-arctic-embed2"
+    config.semantic_token_budget = 25000
+    config.context_token_budget = 22000
+    config.semantic_search_turns = 2
+    config.semantic_score_threshold = 0.6
+    config.run_time = "02:00"
+    config.curator_model = "gpt-oss:120b"
+    config.debug = False
+    config.vector_size = 1024
+    config.cloud = MagicMock()
+    config.cloud.enabled = False
+    config.cloud.models = {}
+    config.cloud.get_cloud_model.return_value = None
+    return config
+
+
+@pytest.fixture
+def sample_qdrant_raw_payload():
+    """Sample raw payload from production Qdrant."""
+    return {
+        "type": "raw",
+        "text": "User: only change settings, not models\nAssistant: Changed semantic_token_budget from 25000 to 30000\nTimestamp: 2026-03-27T12:50:37.451593Z",
+        "timestamp": "2026-03-27T12:50:37.451593Z",
+        "role": "qa",
+        "content": "User: only change settings, not models\nAssistant: Changed semantic_token_budget from 25000 to 30000\nTimestamp: 2026-03-27T12:50:37.451593Z"
+    }
+
+
+@pytest.fixture
+def sample_ollama_models():
+    """Model list from production Ollama."""
+    return {
+        "models": [
+            {
+                "name": "snowflake-arctic-embed2:latest",
+                "model": "snowflake-arctic-embed2:latest",
+                "modified_at": "2026-02-16T16:43:44Z",
+                "size": 1160296718,
+                "details": {"family": "bert", "parameter_size": "566.70M", "quantization_level": "F16"}
+            },
+            {
+                "name": "gpt-oss:120b",
+                "model": "gpt-oss:120b",
+                "modified_at": "2026-03-11T12:45:48Z",
+                "size": 65369818941,
+                "details": {"family": "gptoss", "parameter_size": "116.8B", "quantization_level": "MXFP4"}
+            }
+        ]
+    }