refactor: consolidate to handler-base, migrate to pyproject.toml, add tests

tests/conftest.py

@@ -0,0 +1,90 @@
+"""
+Pytest configuration and fixtures for pipeline-bridge tests.
+"""
+import asyncio
+import os
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+# Set test environment variables before importing
+os.environ.setdefault("NATS_URL", "nats://localhost:4222")
+os.environ.setdefault("OTEL_ENABLED", "false")
+os.environ.setdefault("MLFLOW_ENABLED", "false")
+
+
+@pytest.fixture(scope="session")
+def event_loop():
+    """Create event loop for async tests."""
+    loop = asyncio.new_event_loop()
+    yield loop
+    loop.close()
+
+
+@pytest.fixture
+def mock_nats_message():
+    """Create a mock NATS message."""
+    msg = MagicMock()
+    msg.subject = "ai.pipeline.trigger"
+    msg.reply = "ai.pipeline.status.test-123"
+    return msg
+
+
+@pytest.fixture
+def argo_pipeline_request():
+    """Sample Argo pipeline trigger request."""
+    return {
+        "request_id": "test-request-123",
+        "pipeline": "document-ingestion",
+        "parameters": {
+            "source_path": "s3://bucket/documents",
+            "collection_name": "test_collection",
+        },
+    }
+
+
+@pytest.fixture
+def kubeflow_pipeline_request():
+    """Sample Kubeflow pipeline trigger request."""
+    return {
+        "request_id": "test-request-456",
+        "pipeline": "rag-query",
+        "parameters": {
+            "query": "What is AI?",
+            "collection": "documents",
+        },
+    }
+
+
+@pytest.fixture
+def unknown_pipeline_request():
+    """Request for unknown pipeline."""
+    return {
+        "request_id": "test-request-789",
+        "pipeline": "nonexistent-pipeline",
+        "parameters": {},
+    }
+
+
+@pytest.fixture
+def mock_argo_response():
+    """Mock Argo Workflows API response."""
+    return {
+        "metadata": {
+            "name": "document-ingestion-abc123",
+            "namespace": "ai-ml",
+        },
+        "status": {"phase": "Pending"},
+    }
+
+
+@pytest.fixture
+def mock_kubeflow_response():
+    """Mock Kubeflow Pipelines API response."""
+    return {
+        "run": {
+            "id": "run-xyz-789",
+            "name": "rag-query-test",
+            "status": "Running",
+        }
+    }