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function get_all_dbo_interventionprotocolflocks

Maturity: 40

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

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
919 - 926
Complexity:
simple

Purpose

This function provides a way to fetch intervention protocol flock data from a Neo4j database. It's designed for retrieving domain-specific biological or medical intervention protocol information stored as graph nodes. The function uses a parameterized Cypher query to allow flexible result limiting, making it suitable for pagination, testing, or controlled data retrieval scenarios.

Source Code

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

Parameters

Name Type Default Kind
limit - 100 positional_or_keyword

Parameter Details

limit: Integer value that controls the maximum number of nodes to return from the query. Defaults to 100. Note: The docstring incorrectly states the limit is 25, but the actual default is 100. This parameter prevents overwhelming the system with large result sets and allows for controlled data retrieval.

Return Value

Returns the result of executing a Neo4j Cypher query via the 'run_query' function. The exact return type depends on the implementation of 'run_query', but typically would be a list of Neo4j node objects or dictionaries containing the properties of each 'dbo_InterventionProtocolFlocks' node. The maximum number of nodes returned is controlled by the 'limit' parameter.

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 (example implementation)
def run_query(query, params):
    driver = GraphDatabase.driver('bolt://localhost:7687', auth=('neo4j', 'password'))
    with driver.session() as session:
        result = session.run(query, params)
        return [record['n'] for record in result]
    driver.close()

# Get default 100 nodes
results = get_all_dbo_interventionprotocolflocks()
print(f'Retrieved {len(results)} intervention protocol flocks')

# Get only 10 nodes
limited_results = get_all_dbo_interventionprotocolflocks(limit=10)
for node in limited_results:
    print(node)

Best Practices

  • The docstring contains incorrect information (states limit is 25 but default is 100) - this should be corrected to avoid confusion
  • Always use appropriate limit values to prevent memory issues when dealing with large datasets
  • Ensure proper error handling is implemented in the 'run_query' function for database connection failures
  • Consider adding type hints to the function signature for better code documentation (e.g., 'def get_all_dbo_interventionprotocolflocks(limit: int = 100) -> list:')
  • The function depends on an external 'run_query' function - ensure this dependency is properly documented and available
  • Consider adding input validation to ensure 'limit' is a positive integer
  • For production use, implement proper connection pooling and session management in the 'run_query' function

Tags

neo4j graph-database cypher-query data-retrieval intervention-protocol database-query pagination biomedical-data dbo-ontology

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