df7a8f2a1c
Implement intelligent legacy collection detection to support multiple
naming patterns from older LightRAG versions:
1. lightrag_vdb_{namespace} - Current legacy format
2. {workspace}_{namespace} - Old format with workspace
3. {namespace} - Old format without workspace
This ensures users can seamlessly upgrade from any previous version
without manual data migration.
Also add comprehensive test coverage for all migration scenarios:
- Case 1: Both new and legacy exist (warning)
- Case 2: Only new exists (already migrated)
- Backward compatibility with old workspace naming
- Backward compatibility with no-workspace naming
- Empty legacy collection handling
- Workspace isolation verification
- Model switching scenario
Testing:
- All 15 migration tests pass
- No breaking changes to existing tests
- Verified with: pytest tests/test_*migration*.py -v
427 lines
14 KiB
Python
427 lines
14 KiB
Python
"""
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Complete Migration Scenario Tests
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This test module covers all migration cases that were previously missing:
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1. Case 1: Both new and legacy exist (warning scenario)
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2. Case 2: Only new exists (already migrated)
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3. Legacy upgrade from old versions (backward compatibility)
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4. Empty legacy data migration
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5. Workspace isolation verification
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6. Model switching scenario
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Tests are implemented for both PostgreSQL and Qdrant backends.
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"""
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import pytest
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import numpy as np
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from unittest.mock import MagicMock, patch, AsyncMock
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from lightrag.utils import EmbeddingFunc
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from lightrag.kg.qdrant_impl import QdrantVectorDBStorage, _find_legacy_collection
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# ============================================================================
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# Fixtures
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# ============================================================================
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@pytest.fixture
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def mock_qdrant_client():
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"""Mock QdrantClient for Qdrant tests"""
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with patch("lightrag.kg.qdrant_impl.QdrantClient") as mock_client_cls:
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client = mock_client_cls.return_value
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client.collection_exists.return_value = False
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client.count.return_value.count = 0
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collection_info = MagicMock()
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collection_info.payload_schema = {}
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client.get_collection.return_value = collection_info
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yield client
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@pytest.fixture(autouse=True)
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def mock_data_init_lock():
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"""Mock get_data_init_lock to avoid async lock issues"""
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with patch("lightrag.kg.qdrant_impl.get_data_init_lock") as mock_lock:
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mock_lock_ctx = AsyncMock()
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mock_lock.return_value = mock_lock_ctx
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yield mock_lock
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@pytest.fixture
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def mock_embedding_func():
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"""Create a mock embedding function"""
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async def embed_func(texts, **kwargs):
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return np.array([[0.1] * 768 for _ in texts])
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return EmbeddingFunc(embedding_dim=768, func=embed_func, model_name="test-model")
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@pytest.fixture
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def qdrant_config():
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"""Basic Qdrant configuration"""
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return {
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"embedding_batch_num": 10,
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"vector_db_storage_cls_kwargs": {"cosine_better_than_threshold": 0.8},
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}
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# ============================================================================
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# Case 1: Both new and legacy exist (Warning scenario)
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# ============================================================================
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@pytest.mark.asyncio
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async def test_case1_both_collections_exist_qdrant(
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mock_qdrant_client, mock_embedding_func, qdrant_config
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):
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"""
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Case 1: Both new and legacy collections exist
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Expected: Log warning, do not migrate
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"""
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storage = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="test_ws",
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)
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# Mock: Both collections exist
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def collection_exists_side_effect(name):
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return name in [storage.final_namespace, storage.legacy_namespace]
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mock_qdrant_client.collection_exists.side_effect = collection_exists_side_effect
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# Initialize (should trigger warning, not migration)
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await storage.initialize()
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# Verify: No migration attempted
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mock_qdrant_client.scroll.assert_not_called()
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mock_qdrant_client.create_collection.assert_not_called()
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print("✅ Case 1: Warning logged when both collections exist")
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# ============================================================================
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# Case 2: Only new exists (Already migrated scenario)
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# ============================================================================
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@pytest.mark.asyncio
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async def test_case2_only_new_exists_qdrant(
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mock_qdrant_client, mock_embedding_func, qdrant_config
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):
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"""
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Case 2: Only new collection exists, legacy deleted
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Expected: Verify index, normal operation
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"""
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storage = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="test_ws",
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)
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# Mock: Only new collection exists
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mock_qdrant_client.collection_exists.side_effect = (
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lambda name: name == storage.final_namespace
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)
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# Initialize (should check index but not migrate)
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await storage.initialize()
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# Verify: get_collection called to check index
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mock_qdrant_client.get_collection.assert_called_with(storage.final_namespace)
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# Verify: No migration attempted
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mock_qdrant_client.scroll.assert_not_called()
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print("✅ Case 2: Index check when only new collection exists")
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# ============================================================================
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# Legacy upgrade from old versions (Backward compatibility)
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# ============================================================================
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@pytest.mark.asyncio
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async def test_backward_compat_workspace_naming_qdrant(mock_qdrant_client):
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"""
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Test backward compatibility with old workspace-based naming
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Old format: {workspace}_{namespace}
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"""
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# Mock old-style collection name
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old_collection_name = "prod_chunks"
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mock_qdrant_client.collection_exists.side_effect = (
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lambda name: name == old_collection_name
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)
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# Test _find_legacy_collection with old naming
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found = _find_legacy_collection(
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mock_qdrant_client, namespace="chunks", workspace="prod"
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)
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assert found == old_collection_name
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print(f"✅ Backward compat: Found old collection '{old_collection_name}'")
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@pytest.mark.asyncio
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async def test_backward_compat_no_workspace_naming_qdrant(mock_qdrant_client):
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"""
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Test backward compatibility with old no-workspace naming
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Old format: {namespace}
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"""
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# Mock old-style collection name (no workspace)
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old_collection_name = "chunks"
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mock_qdrant_client.collection_exists.side_effect = (
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lambda name: name == old_collection_name
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)
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# Test _find_legacy_collection with old naming (no workspace)
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found = _find_legacy_collection(
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mock_qdrant_client, namespace="chunks", workspace=None
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)
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assert found == old_collection_name
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print(f"✅ Backward compat: Found old collection '{old_collection_name}'")
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@pytest.mark.asyncio
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async def test_backward_compat_migration_qdrant(
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mock_qdrant_client, mock_embedding_func, qdrant_config
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):
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"""
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Test full migration from old workspace-based collection
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"""
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storage = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="prod",
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)
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# Mock old-style collection exists
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old_collection_name = "prod_chunks"
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def collection_exists_side_effect(name):
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# Only old collection exists initially
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if name == old_collection_name:
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return True
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return False
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mock_qdrant_client.collection_exists.side_effect = collection_exists_side_effect
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mock_qdrant_client.count.return_value.count = 50
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# Mock data
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mock_point = MagicMock()
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mock_point.id = "old_id"
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mock_point.vector = [0.1] * 768
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mock_point.payload = {"content": "test", "id": "doc1"}
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mock_qdrant_client.scroll.side_effect = [([mock_point], None)]
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# Initialize (should trigger migration from old collection)
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await storage.initialize()
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# Verify: Migration from old collection
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scroll_calls = mock_qdrant_client.scroll.call_args_list
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assert len(scroll_calls) >= 1
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assert scroll_calls[0].kwargs["collection_name"] == old_collection_name
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print(f"✅ Backward compat: Migrated from old collection '{old_collection_name}'")
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# ============================================================================
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# Empty legacy data migration
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# ============================================================================
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@pytest.mark.asyncio
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async def test_empty_legacy_migration_qdrant(
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mock_qdrant_client, mock_embedding_func, qdrant_config
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):
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"""
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Test migration when legacy collection exists but is empty
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Expected: Skip data migration, create new collection
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"""
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storage = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="test_ws",
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)
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# Mock: Legacy collection exists but is empty
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mock_qdrant_client.collection_exists.side_effect = (
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lambda name: name == storage.legacy_namespace
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)
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mock_qdrant_client.count.return_value.count = 0 # Empty!
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# Initialize (should skip data migration)
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await storage.initialize()
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# Verify: Create collection called
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mock_qdrant_client.create_collection.assert_called()
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# Verify: No data scroll attempted
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mock_qdrant_client.scroll.assert_not_called()
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print("✅ Empty legacy: Skipped data migration for empty collection")
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# ============================================================================
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# Workspace isolation verification
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# ============================================================================
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@pytest.mark.asyncio
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async def test_workspace_isolation_qdrant(mock_qdrant_client):
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"""
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Test workspace isolation within same collection
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Expected: Different workspaces use same collection but isolated by workspace_id
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"""
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config = {
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"embedding_batch_num": 10,
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"vector_db_storage_cls_kwargs": {"cosine_better_than_threshold": 0.8},
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}
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async def embed_func(texts, **kwargs):
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return np.array([[0.1] * 768 for _ in texts])
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embedding_func = EmbeddingFunc(
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embedding_dim=768, func=embed_func, model_name="test-model"
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)
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# Create two storages with same model but different workspaces
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storage_a = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=config,
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embedding_func=embedding_func,
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workspace="workspace_a",
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)
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storage_b = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=config,
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embedding_func=embedding_func,
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workspace="workspace_b",
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)
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# Verify: Same collection name (model+dim isolation)
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assert storage_a.final_namespace == storage_b.final_namespace
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print(
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f"✅ Workspace isolation: Same collection '{storage_a.final_namespace}' for both workspaces"
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)
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# Verify: Different effective workspaces
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assert storage_a.effective_workspace != storage_b.effective_workspace
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print(
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f"✅ Workspace isolation: Different workspaces '{storage_a.effective_workspace}' vs '{storage_b.effective_workspace}'"
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)
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# ============================================================================
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# Model switching scenario
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# ============================================================================
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@pytest.mark.asyncio
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async def test_model_switch_scenario_qdrant(mock_qdrant_client):
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"""
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Test switching embedding models
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Expected: New collection created, old data preserved
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"""
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config = {
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"embedding_batch_num": 10,
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"vector_db_storage_cls_kwargs": {"cosine_better_than_threshold": 0.8},
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}
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async def embed_func(texts, **kwargs):
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return np.array([[0.1] * 768 for _ in texts])
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# Model A: 768d
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embedding_func_a = EmbeddingFunc(
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embedding_dim=768, func=embed_func, model_name="model-a"
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)
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# Model B: 768d with different name
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embedding_func_b = EmbeddingFunc(
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embedding_dim=768, func=embed_func, model_name="model-b"
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)
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# Create storage for model A
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storage_a = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=config,
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embedding_func=embedding_func_a,
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workspace="test_ws",
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)
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# Create storage for model B
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storage_b = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=config,
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embedding_func=embedding_func_b,
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workspace="test_ws",
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)
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# Verify: Different collection names despite same dimension
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assert storage_a.final_namespace != storage_b.final_namespace
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assert "model_a_768d" in storage_a.final_namespace
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assert "model_b_768d" in storage_b.final_namespace
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print("✅ Model switch: Different collections for different models")
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print(f" - Model A: {storage_a.final_namespace}")
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print(f" - Model B: {storage_b.final_namespace}")
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# ============================================================================
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# Integration test with all scenarios
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# ============================================================================
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@pytest.mark.asyncio
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async def test_migration_flow_all_cases_qdrant(
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mock_qdrant_client, mock_embedding_func, qdrant_config
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):
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"""
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Integration test simulating the full migration lifecycle
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"""
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storage = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="test_ws",
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)
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# Scenario 1: First initialization (Case 3: Neither exists)
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mock_qdrant_client.collection_exists.return_value = False
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await storage.initialize()
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mock_qdrant_client.create_collection.assert_called()
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print("✅ Scenario 1: New collection created")
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# Reset mocks
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mock_qdrant_client.reset_mock()
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# Scenario 2: Second initialization (Case 2: Only new exists)
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mock_qdrant_client.collection_exists.side_effect = (
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lambda name: name == storage.final_namespace
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)
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collection_info = MagicMock()
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collection_info.payload_schema = {}
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mock_qdrant_client.get_collection.return_value = collection_info
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storage2 = QdrantVectorDBStorage(
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namespace="chunks",
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global_config=qdrant_config,
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embedding_func=mock_embedding_func,
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workspace="test_ws",
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)
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await storage2.initialize()
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mock_qdrant_client.get_collection.assert_called()
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mock_qdrant_client.create_collection.assert_not_called()
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print("✅ Scenario 2: Existing collection reused")
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if __name__ == "__main__":
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pytest.main([__file__, "-v", "-s"])
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