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function get_all_dbo_tnv

Maturity: 41

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

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1036 - 1043
Complexity:
simple

Purpose

This function is designed to fetch dbo_TNV (database object - TNV) nodes from a Neo4j graph database. It provides a simple interface to retrieve these specific node types, which likely represent a particular entity or concept in the database schema. The function uses Cypher query language to match and return nodes, with a default limit of 100 results (despite the docstring mentioning 25). This is useful for exploring data, testing queries, or retrieving a subset of TNV nodes for further processing.

Source Code

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

Parameters

Name Type Default Kind
limit - 100 positional_or_keyword

Parameter Details

limit: An integer that specifies the maximum number of dbo_TNV nodes to return from the database. Default value is 100. Note: The docstring incorrectly states the limit is 25, but the actual default is 100. This parameter helps prevent overwhelming results when dealing with large datasets and allows for pagination or controlled data retrieval.

Return Value

Returns the result of the run_query() function, which typically contains a list or collection of Neo4j node objects matching the dbo_TNV label. The exact return type depends on the implementation of run_query(), but it likely returns a list of dictionaries or Neo4j Record objects containing the node properties. The number of results is capped by the limit parameter. If no nodes are found, it would return an empty collection.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
from neo4j import GraphDatabase

# Define run_query helper function (example implementation)
def run_query(query, params=None):
    driver = GraphDatabase.driver('bolt://localhost:7687', auth=('neo4j', 'password'))
    with driver.session() as session:
        result = session.run(query, params or {})
        return [record['n'] for record in result]
    driver.close()

# Use the function with default limit
tnv_nodes = get_all_dbo_tnv()
print(f'Retrieved {len(tnv_nodes)} dbo_TNV nodes')

# Use with custom limit
tnv_nodes_limited = get_all_dbo_tnv(limit=50)
for node in tnv_nodes_limited:
    print(node)

Best Practices

  • The docstring incorrectly states the limit is 25 when the default is actually 100 - this should be corrected for consistency
  • Always use the limit parameter to prevent accidentally retrieving too many nodes from large databases
  • Ensure the run_query() function properly handles database connections and closes them to prevent connection leaks
  • Consider adding error handling for cases where the 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: def get_all_dbo_tnv(limit: int = 100) -> list
  • For production use, consider adding validation to ensure limit is a positive integer
  • If working with large datasets, consider implementing pagination rather than just limiting results

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AI-powered semantic similarity - components with related functionality:

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