test: Add comprehensive workspace isolation test suite for PR #2366
Why this change is needed: PR #2366 introduces critical workspace isolation functionality to resolve multi-instance concurrency issues, but lacks comprehensive automated tests to validate the implementation. Without proper test coverage, we cannot ensure the feature works correctly across all scenarios mentioned in the PR. What this test suite covers: 1. Pipeline Status Isolation: Verifies different workspaces maintain independent pipeline status without interference 2. Lock Mechanism: Validates the new keyed lock system works correctly - Different workspaces can acquire locks in parallel - Same workspace locks serialize properly - No deadlocks occur 3. Backward Compatibility: Ensures legacy code without workspace parameters continues to work using default workspace 4. Multi-Workspace Concurrency: Confirms multiple LightRAG instances with different workspaces can run concurrently without data interference Testing approach: - All tests are automated and deterministic - Uses timing assertions to verify parallel vs serial lock behavior - Validates data isolation through direct namespace data inspection - Comprehensive error handling and detailed test output Test results: All 9 test cases passed successfully, confirming the workspace isolation feature is working correctly across all key scenarios. Impact: Provides confidence that PR #2366's workspace isolation feature is production-ready and won't introduce regressions.
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BukeLy
yangdx
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473
tests/test_workspace_isolation.py
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473
tests/test_workspace_isolation.py
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#!/usr/bin/env python
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"""
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Test script for PR #2366: Workspace Isolation Feature
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Tests the 4 key scenarios mentioned in PR description:
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1. Multi-Workspace Concurrency Test
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2. Pipeline Status Isolation Test
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3. Backward Compatibility Test
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4. Lock Mechanism Test
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"""
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import asyncio
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import time
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from lightrag.kg.shared_storage import (
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get_final_namespace,
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get_namespace_lock,
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get_default_workspace,
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set_default_workspace,
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initialize_share_data,
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initialize_pipeline_status,
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get_namespace_data,
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)
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class TestResults:
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"""Track test results"""
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def __init__(self):
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self.results = []
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def add(self, test_name, passed, message=""):
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self.results.append({"name": test_name, "passed": passed, "message": message})
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status = "✅ PASSED" if passed else "❌ FAILED"
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print(f"\n{status}: {test_name}")
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if message:
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print(f" {message}")
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def summary(self):
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print("\n" + "=" * 60)
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print("TEST SUMMARY")
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print("=" * 60)
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passed = sum(1 for r in self.results if r["passed"])
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total = len(self.results)
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print(f"Passed: {passed}/{total}")
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print()
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for r in self.results:
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status = "✅" if r["passed"] else "❌"
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print(f"{status} {r['name']}")
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if r["message"]:
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print(f" {r['message']}")
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print("=" * 60)
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return passed == total
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results = TestResults()
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# =============================================================================
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# Test 1: Pipeline Status Isolation Test
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# =============================================================================
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async def test_pipeline_status_isolation():
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"""
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Test that pipeline status is isolated between different workspaces.
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"""
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print("\n" + "=" * 60)
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print("TEST 1: Pipeline Status Isolation")
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print("=" * 60)
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try:
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# Initialize shared storage
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initialize_share_data()
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# Initialize pipeline status for two different workspaces
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workspace1 = "test_workspace_1"
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workspace2 = "test_workspace_2"
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await initialize_pipeline_status(workspace1)
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await initialize_pipeline_status(workspace2)
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# Get pipeline status data for both workspaces
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data1 = await get_namespace_data("pipeline_status", workspace=workspace1)
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data2 = await get_namespace_data("pipeline_status", workspace=workspace2)
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# Verify they are independent objects
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if data1 is data2:
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results.add(
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"Pipeline Status Isolation",
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False,
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"Pipeline status data objects are the same (should be different)",
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)
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return False
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# Modify workspace1's data and verify workspace2 is not affected
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data1["test_key"] = "workspace1_value"
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# Re-fetch to ensure we get the latest data
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data1_check = await get_namespace_data("pipeline_status", workspace=workspace1)
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data2_check = await get_namespace_data("pipeline_status", workspace=workspace2)
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if (
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"test_key" in data1_check
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and data1_check["test_key"] == "workspace1_value"
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and "test_key" not in data2_check
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):
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results.add(
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"Pipeline Status Isolation",
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True,
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"Different workspaces have isolated pipeline status",
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)
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return True
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else:
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results.add(
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"Pipeline Status Isolation",
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False,
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f"Pipeline status not properly isolated: ws1={data1_check.get('test_key')}, ws2={data2_check.get('test_key')}",
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)
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return False
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except Exception as e:
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results.add("Pipeline Status Isolation", False, f"Exception: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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# =============================================================================
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# Test 2: Lock Mechanism Test (No Deadlocks)
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# =============================================================================
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async def test_lock_mechanism():
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"""
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Test that the new keyed lock mechanism works correctly without deadlocks.
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Tests both parallel execution for different workspaces and serialization
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for the same workspace.
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"""
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print("\n" + "=" * 60)
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print("TEST 2: Lock Mechanism (No Deadlocks)")
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print("=" * 60)
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try:
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# Test 2.1: Different workspaces should run in parallel
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print("\nTest 2.1: Different workspaces locks should be parallel")
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async def acquire_lock_timed(workspace, namespace, hold_time):
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"""Acquire a lock and hold it for specified time"""
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lock = get_namespace_lock(namespace, workspace)
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start = time.time()
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async with lock:
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print(
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f" [{workspace}] acquired lock at {time.time() - start:.2f}s"
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)
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await asyncio.sleep(hold_time)
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print(
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f" [{workspace}] releasing lock at {time.time() - start:.2f}s"
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)
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start = time.time()
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await asyncio.gather(
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acquire_lock_timed("ws_a", "test_namespace", 0.5),
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acquire_lock_timed("ws_b", "test_namespace", 0.5),
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acquire_lock_timed("ws_c", "test_namespace", 0.5),
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)
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elapsed = time.time() - start
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# If locks are properly isolated by workspace, this should take ~0.5s (parallel)
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# If they block each other, it would take ~1.5s (serial)
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parallel_ok = elapsed < 1.0
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if parallel_ok:
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results.add(
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"Lock Mechanism - Parallel (Different Workspaces)",
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True,
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f"Locks ran in parallel: {elapsed:.2f}s",
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)
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else:
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results.add(
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"Lock Mechanism - Parallel (Different Workspaces)",
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False,
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f"Locks blocked each other: {elapsed:.2f}s (expected < 1.0s)",
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)
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# Test 2.2: Same workspace should serialize
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print("\nTest 2.2: Same workspace locks should serialize")
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start = time.time()
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await asyncio.gather(
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acquire_lock_timed("ws_same", "test_namespace", 0.3),
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acquire_lock_timed("ws_same", "test_namespace", 0.3),
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)
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elapsed = time.time() - start
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# Same workspace should serialize, taking ~0.6s
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serial_ok = elapsed >= 0.5
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if serial_ok:
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results.add(
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"Lock Mechanism - Serial (Same Workspace)",
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True,
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f"Locks serialized correctly: {elapsed:.2f}s",
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)
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else:
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results.add(
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"Lock Mechanism - Serial (Same Workspace)",
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False,
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f"Locks didn't serialize: {elapsed:.2f}s (expected >= 0.5s)",
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)
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return parallel_ok and serial_ok
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except Exception as e:
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results.add("Lock Mechanism", False, f"Exception: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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# =============================================================================
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# Test 3: Backward Compatibility Test
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# =============================================================================
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async def test_backward_compatibility():
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"""
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Test that legacy code without workspace parameter still works correctly.
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"""
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print("\n" + "=" * 60)
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print("TEST 3: Backward Compatibility")
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print("=" * 60)
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try:
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# Test 3.1: get_final_namespace with None should use default workspace
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print("\nTest 3.1: get_final_namespace with workspace=None")
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set_default_workspace("my_default_workspace")
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final_ns = get_final_namespace("pipeline_status", workspace=None)
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expected = "my_default_workspace:pipeline_status"
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if final_ns == expected:
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results.add(
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"Backward Compatibility - get_final_namespace",
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True,
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f"Correctly uses default workspace: {final_ns}",
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)
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compat_1_ok = True
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else:
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results.add(
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"Backward Compatibility - get_final_namespace",
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False,
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f"Expected {expected}, got {final_ns}",
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)
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compat_1_ok = False
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# Test 3.2: get_default_workspace
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print("\nTest 3.2: get/set default workspace")
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set_default_workspace("test_default")
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retrieved = get_default_workspace()
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if retrieved == "test_default":
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results.add(
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"Backward Compatibility - default workspace",
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True,
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f"Default workspace set/get correctly: {retrieved}",
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)
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compat_2_ok = True
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else:
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results.add(
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"Backward Compatibility - default workspace",
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False,
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f"Expected 'test_default', got {retrieved}",
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)
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compat_2_ok = False
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# Test 3.3: Empty workspace handling
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print("\nTest 3.3: Empty workspace handling")
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set_default_workspace("")
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final_ns_empty = get_final_namespace("pipeline_status", workspace=None)
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expected_empty = "pipeline_status" # Should be just the namespace without ':'
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if final_ns_empty == expected_empty:
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results.add(
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"Backward Compatibility - empty workspace",
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True,
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f"Empty workspace handled correctly: '{final_ns_empty}'",
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)
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compat_3_ok = True
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else:
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results.add(
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"Backward Compatibility - empty workspace",
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False,
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f"Expected '{expected_empty}', got '{final_ns_empty}'",
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)
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compat_3_ok = False
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# Test 3.4: None workspace with default set
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print("\nTest 3.4: initialize_pipeline_status with workspace=None")
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set_default_workspace("compat_test_workspace")
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initialize_share_data()
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await initialize_pipeline_status(workspace=None) # Should use default
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# Try to get data using the default workspace explicitly
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data = await get_namespace_data(
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"pipeline_status", workspace="compat_test_workspace"
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)
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if data is not None:
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results.add(
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"Backward Compatibility - pipeline init with None",
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True,
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"Pipeline status initialized with default workspace",
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)
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compat_4_ok = True
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else:
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results.add(
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"Backward Compatibility - pipeline init with None",
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False,
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"Failed to initialize pipeline status with default workspace",
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)
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compat_4_ok = False
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return compat_1_ok and compat_2_ok and compat_3_ok and compat_4_ok
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except Exception as e:
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results.add("Backward Compatibility", False, f"Exception: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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# =============================================================================
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# Test 4: Multi-Workspace Concurrency Test
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# =============================================================================
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async def test_multi_workspace_concurrency():
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"""
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Test that multiple workspaces can operate concurrently without interference.
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Simulates concurrent operations on different workspaces.
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"""
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print("\n" + "=" * 60)
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print("TEST 4: Multi-Workspace Concurrency")
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print("=" * 60)
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try:
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initialize_share_data()
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async def workspace_operations(workspace_id):
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"""Simulate operations on a specific workspace"""
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print(f"\n [{workspace_id}] Starting operations")
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# Initialize pipeline status
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await initialize_pipeline_status(workspace_id)
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# Get lock and perform operations
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lock = get_namespace_lock("test_operations", workspace_id)
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async with lock:
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# Get workspace data
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data = await get_namespace_data("pipeline_status", workspace=workspace_id)
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# Modify data
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data[f"{workspace_id}_key"] = f"{workspace_id}_value"
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data["timestamp"] = time.time()
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# Simulate some work
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await asyncio.sleep(0.1)
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print(f" [{workspace_id}] Completed operations")
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return workspace_id
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# Run multiple workspaces concurrently
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workspaces = ["concurrent_ws_1", "concurrent_ws_2", "concurrent_ws_3"]
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start = time.time()
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results_list = await asyncio.gather(
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*[workspace_operations(ws) for ws in workspaces]
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)
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elapsed = time.time() - start
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print(f"\n All workspaces completed in {elapsed:.2f}s")
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# Verify all workspaces completed
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if set(results_list) == set(workspaces):
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results.add(
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"Multi-Workspace Concurrency - Execution",
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True,
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f"All {len(workspaces)} workspaces completed successfully in {elapsed:.2f}s",
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)
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exec_ok = True
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else:
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results.add(
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"Multi-Workspace Concurrency - Execution",
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False,
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f"Not all workspaces completed",
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)
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exec_ok = False
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# Verify data isolation - each workspace should have its own data
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print("\n Verifying data isolation...")
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isolation_ok = True
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for ws in workspaces:
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data = await get_namespace_data("pipeline_status", workspace=ws)
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expected_key = f"{ws}_key"
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expected_value = f"{ws}_value"
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if expected_key not in data or data[expected_key] != expected_value:
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results.add(
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f"Multi-Workspace Concurrency - Data Isolation ({ws})",
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False,
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f"Data not properly isolated for {ws}",
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)
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isolation_ok = False
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else:
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print(f" [{ws}] Data correctly isolated: {expected_key}={data[expected_key]}")
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if isolation_ok:
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results.add(
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"Multi-Workspace Concurrency - Data Isolation",
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True,
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"All workspaces have properly isolated data",
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)
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return exec_ok and isolation_ok
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except Exception as e:
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results.add("Multi-Workspace Concurrency", False, f"Exception: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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# =============================================================================
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# Main Test Runner
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# =============================================================================
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async def main():
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"""Run all tests"""
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print("\n")
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print("╔" + "═" * 58 + "╗")
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print("║" + " " * 10 + "Workspace Isolation Test Suite" + " " * 18 + "║")
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print("║" + " " * 18 + "PR #2366" + " " * 32 + "║")
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print("╚" + "═" * 58 + "╝")
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# Run all tests
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await test_pipeline_status_isolation()
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await test_lock_mechanism()
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await test_backward_compatibility()
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await test_multi_workspace_concurrency()
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# Print summary
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all_passed = results.summary()
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if all_passed:
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print("\n🎉 All tests passed! The workspace isolation feature is working correctly.")
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return 0
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else:
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print("\n⚠️ Some tests failed. Please review the results above.")
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return 1
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if __name__ == "__main__":
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exit_code = asyncio.run(main())
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exit(exit_code)
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