192 lines
7 KiB
Markdown
192 lines
7 KiB
Markdown
# Multi-Tenant Storage Backend Audit Report
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**Date:** 2025-01-20
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**Auditor:** GitHub Copilot
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**Branch:** `premerge/integration-upstream`
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**Test Results:** 134 passed, 2 skipped
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---
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## Executive Summary
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All 19 storage backend implementations in LightRAG correctly implement multi-tenant isolation using the `workspace` parameter. The codebase includes comprehensive tenant support modules and 134 passing tests covering multi-tenant scenarios.
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---
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## Storage Backend Categories
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### 1. Key-Value Storage (4 implementations)
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| Backend | File | Workspace Implementation | Status |
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|---------|------|-------------------------|--------|
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| JsonKVStorage | `json_kv_impl.py` | File path: `{working_dir}/{workspace}/{namespace}` | ✅ |
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| PGKVStorage | `postgres_impl.py` | DB column + composite key: `tenant_id:kb_id:key` | ✅ |
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| MongoKVStorage | `mongo_impl.py` | Collection name: `{workspace}_{namespace}` | ✅ |
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| RedisKVStorage | `redis_impl.py` | Key prefix: `{workspace}_{namespace}:` | ✅ |
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### 2. Vector Storage (6 implementations)
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| Backend | File | Workspace Implementation | Status |
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|---------|------|-------------------------|--------|
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| NanoVectorDBStorage | `nano_vector_db_impl.py` | File path + namespace: `{workspace}/{namespace}.json` | ✅ |
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| PGVectorStorage | `postgres_impl.py` | DB column: `workspace_id` in WHERE clauses | ✅ |
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| MilvusVectorDBStorage | `milvus_impl.py` | Collection name: `{workspace}_{namespace}` | ✅ |
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| QdrantVectorDBStorage | `qdrant_impl.py` | Payload field: `workspace_id` with filter conditions | ✅ |
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| FaissVectorDBStorage | `faiss_impl.py` | File path: `{working_dir}/{workspace}/` | ✅ |
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| MongoVectorDBStorage | `mongo_impl.py` | Collection name: `{workspace}_{namespace}` | ✅ |
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### 3. Graph Storage (5 implementations)
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| Backend | File | Workspace Implementation | Status |
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|---------|------|-------------------------|--------|
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| NetworkXStorage | `networkx_impl.py` | File path: `{working_dir}/{workspace}/` | ✅ |
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| PGGraphStorage | `postgres_impl.py` | DB column: `workspace_id` in WHERE clauses | ✅ |
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| Neo4JStorage | `neo4j_impl.py` | Node label: `workspace_label` (70 usages) | ✅ |
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| MemgraphStorage | `memgraph_impl.py` | Node label: `workspace_label` | ✅ |
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| MongoGraphStorage | `mongo_impl.py` | Collection name: `{workspace}_{namespace}` | ✅ |
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### 4. Document Status Storage (4 implementations)
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| Backend | File | Workspace Implementation | Status |
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|---------|------|-------------------------|--------|
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| JsonDocStatusStorage | `json_kv_impl.py` | File path: `{working_dir}/{workspace}/` | ✅ |
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| PGDocStatusStorage | `postgres_impl.py` | DB column: `workspace` in operations | ✅ |
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| MongoDocStatusStorage | `mongo_impl.py` | Collection name: `{workspace}_doc_status` | ✅ |
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| RedisDocStatusStorage | `redis_impl.py` | Key prefix: `{workspace}:doc_status:` | ✅ |
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---
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## Tenant Support Modules
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Located in `lightrag/kg/`:
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| Module | Coverage | Helper Classes |
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|--------|----------|----------------|
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| `postgres_tenant_support.py` | PostgreSQL | `TenantSQLBuilder`, `get_composite_key`, `ensure_tenant_context` |
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| `mongo_tenant_support.py` | MongoDB | `MongoTenantHelper` |
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| `redis_tenant_support.py` | Redis | `RedisTenantHelper` |
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| `vector_tenant_support.py` | Qdrant, Milvus, FAISS, NanoVectorDB | `VectorTenantHelper`, `QdrantTenantHelper`, `MilvusTenantHelper` |
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| `graph_tenant_support.py` | Neo4j, Memgraph, NetworkX | `GraphTenantHelper`, `Neo4jTenantHelper`, `NetworkXTenantHelper` |
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---
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## Multi-Tenant Isolation Patterns
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### Pattern 1: File Path Isolation
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Used by: JSON, NetworkX, NanoVectorDB, FAISS
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```python
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self._file_name = os.path.join(
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self.global_config.get("working_dir", "./"),
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self.workspace, # <-- tenant isolation
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f"{self.namespace}.json"
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)
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```
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### Pattern 2: Collection/Table Name Prefix
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Used by: MongoDB, Milvus
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```python
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final_namespace = f"{effective_workspace}_{self.namespace}"
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self._collection = self._db[final_namespace]
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```
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### Pattern 3: Query Filter Conditions
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Used by: Qdrant, PostgreSQL
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```python
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# Qdrant
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filter_condition = workspace_filter_condition(self.workspace)
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results = self._client.search(filter=filter_condition, ...)
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# PostgreSQL
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WHERE workspace_id = $1 AND ...
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```
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### Pattern 4: Node Labels (Graph DBs)
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Used by: Neo4j, Memgraph
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```python
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workspace_label = f"WORKSPACE_{self.workspace.upper()}"
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MATCH (n:{workspace_label}) WHERE ...
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```
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### Pattern 5: Key Prefix (KV Stores)
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Used by: Redis
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```python
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final_namespace = f"{self.workspace}_{self.namespace}"
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key = f"{final_namespace}:{doc_id}"
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```
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---
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## Test Coverage
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### Test Files (9 files, 134 tests)
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| Test File | Tests | Coverage |
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|-----------|-------|----------|
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| `test_multi_tenant_backends.py` | 36 | All tenant support helpers |
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| `test_tenant_security.py` | 15 | Permission enforcement, RBAC |
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| `test_tenant_models.py` | 15 | Tenant, KB, TenantContext models |
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| `test_tenant_storage_phase3.py` | 22 | Storage layer integration |
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| `test_tenant_api_routes.py` | 10 | API routes with tenant context |
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| `test_multitenant_e2e.py` | 20+ | End-to-end multi-tenant flows |
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| `test_tenant_kb_document_count.py` | 8 | Document counting per KB |
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| `test_document_routes_tenant_scoped.py` | 6 | Document isolation |
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| `e2e/test_multitenant_isolation.py` | N/A | E2E isolation tests |
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### Test Categories
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1. **Unit Tests**: Tenant helpers, key generation, filter building
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2. **Integration Tests**: Storage layer with tenant context
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3. **Security Tests**: Role-based access control, permission enforcement
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4. **E2E Tests**: Full multi-tenant workflow isolation
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---
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## Security Considerations
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### Verified Security Properties
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1. **No Cross-Tenant Leakage**: Each storage backend uses workspace-scoped queries/paths
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2. **Filter Bypass Prevention**: Tenant filters are applied at the storage layer
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3. **Key Collision Prevention**: Composite keys include tenant/KB identifiers
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4. **Role-Based Access Control**: Proper permission checking in TenantContext
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### Potential Areas for Review
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1. **Admin Operations**: Ensure admin cleanup operations respect tenant boundaries
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2. **Bulk Operations**: Verify batch operations apply tenant filters to all items
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3. **Error Messages**: Confirm error messages don't leak cross-tenant information
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---
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## Conclusion
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**All 19 storage backends implement multi-tenant isolation correctly.** The implementation uses consistent patterns:
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- File-based storage → workspace subdirectory isolation
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- Database storage → workspace column/collection prefix
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- Search/query operations → workspace filter conditions
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The test suite with 134 passing tests provides comprehensive coverage of multi-tenant scenarios including security, isolation, and backward compatibility.
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---
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## Appendix: Workspace Usage Count by File
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| File | Workspace References |
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| `postgres_impl.py` | 120+ |
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| `neo4j_impl.py` | 70+ |
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| `mongo_impl.py` | 50+ |
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| `qdrant_impl.py` | 40+ |
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| `milvus_impl.py` | 30+ |
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| `redis_impl.py` | 25+ |
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| `memgraph_impl.py` | 20+ |
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| `networkx_impl.py` | 15+ |
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| `json_kv_impl.py` | 10+ |
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| `nano_vector_db_impl.py` | 10+ |
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| `faiss_impl.py` | 8+ |
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