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chore: import upstream snapshot with attribution
2026-07-13 13:02:24 +08:00

166 lines
6.7 KiB
Python

import cognee
import pytest
from cognee.modules.users.exceptions import PermissionDeniedError
from cognee.modules.users.tenants.methods import select_tenant
from cognee.modules.users.methods import get_user
from cognee.shared.logging_utils import get_logger
from cognee.modules.search.types import SearchType
from cognee.modules.users.methods import create_user
from cognee.modules.users.permissions.methods import authorized_give_permission_on_datasets
from cognee.modules.users.roles.methods import add_user_to_role
from cognee.modules.users.roles.methods import create_role
from cognee.modules.users.tenants.methods import create_tenant
from cognee.modules.users.tenants.methods import add_user_to_tenant
from cognee.modules.engine.operations.setup import setup
from cognee.shared.logging_utils import setup_logging, CRITICAL
logger = get_logger()
async def main():
# Create a clean slate for cognee -- reset data and system state
print("Resetting cognee data...")
await cognee.prune.prune_data()
await cognee.prune.prune_system(metadata=True)
print("Data reset complete.\n")
# Set up the necessary databases and tables for user management.
await setup()
# Add document for user_1, add it under dataset name AI
text = """A quantum computer is a computer that takes advantage of quantum mechanical phenomena.
At small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages
this behavior, specifically quantum superposition and entanglement, using specialized hardware that supports the
preparation and manipulation of quantum state"""
print("Creating user_1: user_1@example.com")
user_1 = await create_user("user_1@example.com", "example")
await cognee.add([text], dataset_name="AI", user=user_1)
print("\nCreating user_2: user_2@example.com")
user_2 = await create_user("user_2@example.com", "example")
# Run cognify for both datasets as the appropriate user/owner
print("\nCreating different datasets for user_1 (AI dataset) and user_2 (QUANTUM dataset)")
ai_cognify_result = await cognee.cognify(["AI"], user=user_1)
# Extract dataset_ids from cognify results
def extract_dataset_id_from_cognify(cognify_result):
"""Extract dataset_id from cognify output dictionary"""
for dataset_id, pipeline_result in cognify_result.items():
return dataset_id # Return the first dataset_id
return None
# Get dataset IDs from cognify results
# Note: When we want to work with datasets from other users (search, add, cognify and etc.) we must supply dataset
# information through dataset_id using dataset name only looks for datasets owned by current user
ai_dataset_id = extract_dataset_id_from_cognify(ai_cognify_result)
# We can see here that user_1 can read his own dataset (AI dataset)
search_results = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="What is in the document?",
user=user_1,
datasets=[ai_dataset_id],
)
# Verify that user_2 cannot access user_1's dataset without permission
with pytest.raises(PermissionDeniedError):
search_results = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="What is in the document?",
user=user_2,
datasets=[ai_dataset_id],
)
# Create new tenant and role, add user_2 to tenant and role
tenant_id = await create_tenant("CogneeLab", user_1.id)
await select_tenant(user_id=user_1.id, tenant_id=tenant_id)
role_id = await create_role(role_name="Researcher", owner_id=user_1.id)
await add_user_to_tenant(
user_id=user_2.id, tenant_id=tenant_id, owner_id=user_1.id, set_as_active_tenant=True
)
await add_user_to_role(user_id=user_2.id, role_id=role_id, owner_id=user_1.id)
# Assert that user_1 cannot give permissions on his dataset to role before switching to the correct tenant
# AI dataset was made with default tenant and not CogneeLab tenant
with pytest.raises(PermissionDeniedError):
await authorized_give_permission_on_datasets(
role_id,
[ai_dataset_id],
"read",
user_1.id,
)
# We need to refresh the user object with changes made when switching tenants
user_1 = await get_user(user_1.id)
await cognee.add([text], dataset_name="AI_COGNEE_LAB", user=user_1)
ai_cognee_lab_cognify_result = await cognee.cognify(["AI_COGNEE_LAB"], user=user_1)
ai_cognee_lab_dataset_id = extract_dataset_id_from_cognify(ai_cognee_lab_cognify_result)
await authorized_give_permission_on_datasets(
role_id,
[ai_cognee_lab_dataset_id],
"read",
user_1.id,
)
search_results = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="What is in the document?",
user=user_2,
dataset_ids=[ai_cognee_lab_dataset_id],
)
for result in search_results:
print(f"{result}\n")
# Let's test changing tenants
tenant_id = await create_tenant("CogneeLab2", user_1.id)
await select_tenant(user_id=user_1.id, tenant_id=tenant_id)
user_1 = await get_user(user_1.id)
await cognee.add([text], dataset_name="AI_COGNEE_LAB", user=user_1)
await cognee.cognify(["AI_COGNEE_LAB"], user=user_1)
search_results = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="What is in the document?",
user=user_1,
)
# Assert only AI_COGNEE_LAB dataset from CogneeLab2 tenant is visible as the currently selected tenant
assert len(search_results) == 1, (
f"Search results must only contain one dataset from current tenant: {search_results}"
)
assert search_results[0]["dataset_name"] == "AI_COGNEE_LAB", (
f"Dict must contain dataset name 'AI_COGNEE_LAB': {search_results[0]}"
)
assert search_results[0]["dataset_tenant_id"] == user_1.tenant_id, (
f"Dataset tenant_id must be same as user_1 tenant_id: {search_results[0]}"
)
# Switch back to no tenant (default tenant)
await select_tenant(user_id=user_1.id, tenant_id=None)
# Refresh user_1 object
user_1 = await get_user(user_1.id)
search_results = await cognee.search(
query_type=SearchType.GRAPH_COMPLETION,
query_text="What is in the document?",
user=user_1,
)
assert len(search_results) == 1, (
f"Search results must only contain one dataset from default tenant: {search_results}"
)
assert search_results[0]["dataset_name"] == "AI", (
f"Dict must contain dataset name 'AI': {search_results[0]}"
)
if __name__ == "__main__":
import asyncio
logger = setup_logging(log_level=CRITICAL)
asyncio.run(main())