add fixes

new-examples/configurations/permissions_example/user_permissions_and_access_control_example.py

@@ -3,6 +3,7 @@ import cognee
 import pathlib
 
 from cognee.modules.users.exceptions import PermissionDeniedError
+from cognee.modules.users.tenants.methods import select_tenant
 from cognee.shared.logging_utils import get_logger
 from cognee.modules.search.types import SearchType
 from cognee.modules.users.methods import create_user
@@ -26,7 +27,7 @@ async def main():
     # Set the rest of your environment variables as needed. By default OpenAI is used as the LLM provider
     # Reference the .env.tempalte file for available option and how to change LLM provider: https://github.com/topoteretes/cognee/blob/main/.env.template
     # For example to set your OpenAI LLM API key use:
-    # os.environ["LLM_API_KEY""] = "your-api-key"
+    # os.environ["LLM_API_KEY"] = "your-api-key"
 
     # Create a clean slate for cognee -- reset data and system state
     print("Resetting cognee data...")
@@ -142,6 +143,9 @@ async def main():
     print("User 2 is creating CogneeLab tenant/organization")
     tenant_id = await create_tenant("CogneeLab", user_2.id)
 
+    print("User 2 is selecting CogneeLab tenant/organization as active tenant")
+    await select_tenant(user_id=user_2.id, tenant_id=tenant_id)
+
     print("\nUser 2 is creating Researcher role")
     role_id = await create_role(role_name="Researcher", owner_id=user_2.id)
 
@@ -157,23 +161,59 @@ async def main():
     )
     await add_user_to_role(user_id=user_3.id, role_id=role_id, owner_id=user_2.id)
 
+    print("\nOperation as user_3 to select CogneeLab tenant/organization as active tenant")
+    await select_tenant(user_id=user_3.id, tenant_id=tenant_id)
+
     print(
-        "\nOperation started as user_2 to give read permission to Researcher role for the dataset owned by user_2"
+        "\nOperation started as user_2, with CogneeLab as its active tenant, to give read permission to Researcher role for the dataset QUANTUM owned by user_2"
+    )
+    # Even though the dataset owner is user_2, the dataset doesn't belong to the tenant/organization CogneeLab.
+    # So we can't assign permissions to it when we're acting in the CogneeLab tenant.
+    try:
+        await authorized_give_permission_on_datasets(
+            role_id,
+            [quantum_dataset_id],
+            "read",
+            user_2.id,
+        )
+    except PermissionDeniedError:
+        print(
+            "User 2 could not give permission to the role as the QUANTUM dataset is not part of the CogneeLab tenant"
+        )
+
+    print(
+        "We will now create a new QUANTUM dataset with the QUANTUM_COGNEE_LAB name in the CogneeLab tenant so that permissions can be assigned to the Researcher role inside the tenant/organization"
+    )
+    # We can re-create the QUANTUM dataset in the CogneeLab tenant. The old QUANTUM dataset is still owned by user_2 personally
+    # and can still be accessed by selecting the personal tenant for user 2.
+    from cognee.modules.users.methods import get_user
+
+    # Note: We need to update user_2 from the database to refresh its tenant context changes
+    user_2 = await get_user(user_2.id)
+    await cognee.add([text], dataset_name="QUANTUM_COGNEE_LAB", user=user_2)
+    quantum_cognee_lab_cognify_result = await cognee.cognify(["QUANTUM_COGNEE_LAB"], user=user_2)
+
+    # The recreated Quantum dataset will now have a different dataset_id as it's a new dataset in a different organization
+    quantum_cognee_lab_dataset_id = extract_dataset_id_from_cognify(
+        quantum_cognee_lab_cognify_result
+    )
+    print(
+        "\nOperation started as user_2, with CogneeLab as its active tenant, to give read permission to Researcher role for the dataset QUANTUM owned by the CogneeLab tenant"
     )
     await authorized_give_permission_on_datasets(
         role_id,
-        [quantum_dataset_id],
+        [quantum_cognee_lab_dataset_id],
         "read",
         user_2.id,
     )
 
     # Now user_3 can read from QUANTUM dataset as part of the Researcher role after proper permissions have been assigned by the QUANTUM dataset owner, user_2.
-    print("\nSearch result as user_3 on the dataset owned by user_2:")
+    print("\nSearch result as user_3 on the QUANTUM dataset owned by the CogneeLab organization:")
     search_results = await cognee.search(
         query_type=SearchType.GRAPH_COMPLETION,
         query_text="What is in the document?",
-        user=user_1,
-        dataset_ids=[quantum_dataset_id],
+        user=user_3,
+        dataset_ids=[quantum_cognee_lab_dataset_id],
     )
     for result in search_results:
         print(f"{result}\n")

new-examples/custom_pipelines/organizational_hierarchy/organizational_hierarchy_pipeline_low_level_example.py

@@ -49,7 +49,7 @@ class Company(DataPoint):
 
 
 ROOT = Path(__file__).resolve().parent
-DATA_DIR = ROOT.parent / "data"
+DATA_DIR = ROOT / "data"
 COGNEE_DIR = ROOT / ".cognee_system"
 ARTIFACTS_DIR = ROOT / ".artifacts"
 GRAPH_HTML = ARTIFACTS_DIR / "graph_visualization.html"

new-examples/demos/core_features_getting_started_example.py

@@ -3,4 +3,4 @@ Core Features Getting Started Example
 
 Reference: https://colab.research.google.com/drive/12Vi9zID-M3fpKpKiaqDBvkk98ElkRPWy?usp=sharing
 
-"""
+"""

new-examples/demos/custom_prompt_guide.py

@@ -4,4 +4,4 @@ Custom Prompt Example
 
 Reference: https://docs.cognee.ai/guides/custom-prompts
 
-"""
+"""

new-examples/demos/direct_llm_call_for_structured_output_example.py

@@ -1,4 +1,4 @@
 """
 Direct LLM Call for Structured Output Example
 Reference: https://docs.cognee.ai/guides/low-level-llm
-"""
+"""

new-examples/demos/graph_visualization_example.py

@@ -2,4 +2,4 @@
 Graph Visualization Example
 
 Reference: https://docs.cognee.ai/guides/graph-visualization
-"""
+"""

new-examples/demos/retrievers_and_search_examples.py

@@ -3,4 +3,3 @@ Retrievers and Search Examples
 
 Reference: https://docs.cognee.ai/guides/search-basics
 """
-