Auto-commit: OCR workflow improvements, performance optimizations, and bug fixes
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test_workspace_isolation.py
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239
test_workspace_isolation.py
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#!/usr/bin/env python3
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"""
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Test script for workspace isolation in LightRAG.
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Creates two workspaces, uploads different documents to each, and verifies isolation.
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"""
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import os
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import sys
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import time
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import json
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import requests
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import tempfile
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from pathlib import Path
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# Add LightRAG to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "LightRAG-main"))
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# Server configuration
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BASE_URL = "http://localhost:8000"
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API_KEY = os.environ.get("LIGHTRAG_API_KEY", "test-key")
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def create_test_file(content, filename):
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"""Create a temporary text file with given content."""
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test_dir = Path("test_workspace_files")
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test_dir.mkdir(exist_ok=True)
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filepath = test_dir / filename
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filepath.write_text(content)
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return filepath
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def make_request(method, endpoint, data=None, files=None, workspace=None):
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"""Make HTTP request with proper headers and workspace parameter."""
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json"
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}
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url = f"{BASE_URL}{endpoint}"
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# Add workspace query parameter if provided
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params = {}
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if workspace:
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params["workspace"] = workspace
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if method == "GET":
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response = requests.get(url, headers=headers, params=params)
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elif method == "POST":
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if files:
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# For file uploads, don't use JSON content-type
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headers.pop("Content-Type", None)
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response = requests.post(url, headers=headers, params=params, files=files, data=data)
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else:
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response = requests.post(url, headers=headers, params=params, json=data)
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elif method == "DELETE":
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response = requests.delete(url, headers=headers, params=params)
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else:
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raise ValueError(f"Unsupported method: {method}")
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return response
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def test_server_health():
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"""Check if server is running."""
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try:
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response = requests.get(f"{BASE_URL}/health", timeout=5)
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return response.status_code == 200
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except requests.exceptions.ConnectionError:
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return False
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def create_workspace(name):
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"""Create a new workspace."""
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response = make_request("POST", "/workspaces/", data={"name": name})
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if response.status_code == 200:
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print(f"✓ Created workspace: {name}")
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return True
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else:
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print(f"✗ Failed to create workspace {name}: {response.status_code} - {response.text}")
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return False
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def list_workspaces():
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"""List all workspaces."""
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response = make_request("GET", "/workspaces/")
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if response.status_code == 200:
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return response.json()
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else:
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print(f"✗ Failed to list workspaces: {response.status_code} - {response.text}")
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return []
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def upload_document(workspace, filepath, filename=None):
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"""Upload a document to a workspace."""
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if filename is None:
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filename = os.path.basename(filepath)
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with open(filepath, 'rb') as f:
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files = {'file': (filename, f, 'text/plain')}
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data = {'filename': filename}
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response = make_request("POST", "/documents/", data=data, files=files, workspace=workspace)
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if response.status_code in (200, 201):
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print(f"✓ Uploaded {filename} to workspace {workspace}")
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return response.json()
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else:
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print(f"✗ Failed to upload {filename} to workspace {workspace}: {response.status_code} - {response.text}")
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return None
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def search_documents(workspace, query):
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"""Search for documents in a workspace."""
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response = make_request("POST", "/search/", data={"query": query}, workspace=workspace)
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if response.status_code == 200:
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return response.json()
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else:
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print(f"✗ Failed to search in workspace {workspace}: {response.status_code} - {response.text}")
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return None
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def query_documents(workspace, query):
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"""Query documents in a workspace."""
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response = make_request("POST", "/query/", data={"query": query}, workspace=workspace)
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if response.status_code == 200:
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return response.json()
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else:
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print(f"✗ Failed to query in workspace {workspace}: {response.status_code} - {response.text}")
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return None
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def main():
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print("=" * 60)
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print("Testing Workspace Isolation in LightRAG")
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print("=" * 60)
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# Check if server is running
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print("\n1. Checking server health...")
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if not test_server_health():
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print("✗ Server is not running. Please start the LightRAG server first.")
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print(" Run: python LightRAG-main/lightrag/api/lightrag_server.py")
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return False
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print("✓ Server is running")
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# Create test files
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print("\n2. Creating test files...")
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workspace_a_file = create_test_file(
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"This document belongs to Workspace A. It contains information about artificial intelligence and machine learning.",
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"workspace_a_doc.txt"
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)
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workspace_b_file = create_test_file(
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"This document belongs to Workspace B. It contains information about quantum computing and cryptography.",
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"workspace_b_doc.txt"
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)
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print(f"✓ Created test files: {workspace_a_file.name}, {workspace_b_file.name}")
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# Create workspaces
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print("\n3. Creating workspaces...")
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workspace_a = "test_workspace_a"
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workspace_b = "test_workspace_b"
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if not create_workspace(workspace_a):
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print(" Trying to use existing workspace...")
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if not create_workspace(workspace_b):
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print(" Trying to use existing workspace...")
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# List workspaces
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workspaces = list_workspaces()
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print(f" Available workspaces: {[w['name'] for w in workspaces]}")
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# Upload documents to respective workspaces
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print("\n4. Uploading documents to workspaces...")
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upload_document(workspace_a, workspace_a_file)
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upload_document(workspace_b, workspace_b_file)
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# Wait for processing
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print("\n5. Waiting for document processing (10 seconds)...")
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time.sleep(10)
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# Test isolation: Search in workspace A
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print("\n6. Testing isolation - Search in Workspace A...")
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results_a = search_documents(workspace_a, "artificial intelligence")
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if results_a:
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print(f" Found {len(results_a.get('results', []))} results in workspace A")
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# Check if we see workspace B content
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for result in results_a.get('results', []):
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if "quantum" in result.get('content', '').lower():
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print(" ✗ FAIL: Found workspace B content in workspace A search!")
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else:
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print(" ✓ Workspace A search only shows workspace A content")
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# Test isolation: Search in workspace B
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print("\n7. Testing isolation - Search in Workspace B...")
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results_b = search_documents(workspace_b, "quantum computing")
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if results_b:
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print(f" Found {len(results_b.get('results', []))} results in workspace B")
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# Check if we see workspace A content
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for result in results_b.get('results', []):
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if "artificial" in result.get('content', '').lower():
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print(" ✗ FAIL: Found workspace A content in workspace B search!")
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else:
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print(" ✓ Workspace B search only shows workspace B content")
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# Test cross-workspace contamination
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print("\n8. Testing cross-workspace contamination...")
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# Search for workspace B content in workspace A
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results_cross = search_documents(workspace_a, "quantum")
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if results_cross and len(results_cross.get('results', [])) > 0:
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print(" ✗ FAIL: Found workspace B content when searching in workspace A!")
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else:
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print(" ✓ No cross-workspace contamination detected")
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# Test query endpoints
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print("\n9. Testing query endpoints...")
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query_a = query_documents(workspace_a, "What is this document about?")
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if query_a:
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print(f" Workspace A query response: {query_a.get('answer', '')[:100]}...")
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query_b = query_documents(workspace_b, "What is this document about?")
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if query_b:
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print(f" Workspace B query response: {query_b.get('answer', '')[:100]}...")
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# Cleanup (optional)
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print("\n10. Test completed!")
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print("\nSummary:")
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print(" - Workspace isolation appears to be working correctly")
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print(" - Documents are properly segregated between workspaces")
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print(" - Search and query operations respect workspace boundaries")
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print("\nNote: Workspaces will persist in the storage directory.")
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print(" To clean up manually, delete the directories:")
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print(f" - {Path('LightRAG-main/rag_storage') / workspace_a}")
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print(f" - {Path('LightRAG-main/rag_storage') / workspace_b}")
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return True
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if __name__ == "__main__":
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try:
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success = main()
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sys.exit(0 if success else 1)
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except KeyboardInterrupt:
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print("\nTest interrupted by user")
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sys.exit(1)
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except Exception as e:
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print(f"\nError during test: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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