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Queries a Neo4j graph database to retrieve all nodes labeled as 'dbo_UserGroup' with a configurable limit on the number of results returned.

Purpose

This function is designed to fetch user group nodes from a Neo4j database. It's useful for retrieving organizational user group data, performing batch operations on user groups, or analyzing user group structures. The function uses Cypher query language to match nodes with the 'dbo_UserGroup' label and returns them through a query execution helper function.

Source Code

def get_all_dbo_usergroup(limit=100):
    """Return dbo_UserGroup nodes (limited to 25)"""
    query = """
    MATCH (n:dbo_UserGroup)
    RETURN n
    LIMIT $limit
    """
    return run_query(query, {"limit": limit})

Parameters

Parameter Details

limit: Integer value that controls the maximum number of dbo_UserGroup nodes to return from the database. Default is 100. Note: The docstring incorrectly states the limit is 25, but the actual default parameter value is 100. This parameter is passed to the Cypher query to prevent returning excessively large result sets.

Return Value

Returns the result of the run_query() function execution. The exact return type depends on the implementation of run_query(), but typically this would be a list of Neo4j node objects or dictionaries representing dbo_UserGroup nodes, limited to the specified number. The return could also be a Neo4j Result object or processed data structure containing node properties.

Dependencies

• neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
# Example 1: Get default 100 user groups
user_groups = get_all_dbo_usergroup()

# Example 2: Get only 10 user groups
user_groups_limited = get_all_dbo_usergroup(limit=10)

# Example 3: Process the results
user_groups = get_all_dbo_usergroup(limit=50)
for record in user_groups:
    node = record['n']
    print(f"User Group: {node}")

Best Practices

• The docstring contains incorrect information (states limit is 25 but default is 100) - this should be corrected for clarity
• Always specify an appropriate limit value to prevent memory issues when dealing with large datasets
• Ensure the run_query() function properly handles database connection errors and query failures
• Consider adding error handling for cases where the Neo4j database is unavailable or the query fails
• The function depends on run_query() being defined elsewhere - ensure this dependency is available before calling
• Consider adding type hints for better code documentation (e.g., def get_all_dbo_usergroup(limit: int = 100) -> List[Dict])
• For production use, consider adding pagination support for very large result sets instead of just a limit parameter

Tags

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