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  • Sync
  • Async
def get_graph_status(
    graph_name: str,
    folder_name: Optional[str] = None,
    end_user_id: Optional[str] = None,
) -> Dict[str, Any]

​
Parameters

  • graph_name (str): Name of the graph to check
  • folder_name (str, optional): Optional folder name for scoping
  • end_user_id (str, optional): Optional end user ID for scoping

​
Returns

  • Dict[str, Any]: Status information containing status, pipeline_stage (if processing), and other metadata

​
Examples

  • Sync
  • Async
from morphik import Morphik

db = Morphik()

# Check graph status
status = db.get_graph_status("my_knowledge_graph")

print(f"Status: {status.get('status')}")
if status.get('pipeline_stage'):
    print(f"Pipeline stage: {status.get('pipeline_stage')}")

# Check with folder scoping
status = db.get_graph_status(
    graph_name="team_graph",
    folder_name="engineering",
)
print(f"Graph status in folder: {status.get('status')}")

​
Notes

  • This is a lightweight endpoint that examines local status metadata and augments it with remote pipeline details when available.
  • Use this to monitor graph creation or update progress.
  • For polling until completion, consider using wait_for_graph_completion instead.