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function get_lims_parameters_with_references_parameters_lims_parameters

Maturity: 40

Retrieves LIMS_Parameters nodes from a Neo4j graph database that are connected to a source LIMS_Parameters node via REFERENCES_PARAMETERS relationships.

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1193 - 1200
Complexity:
simple

Purpose

This function queries a Neo4j graph database to find all LIMS_Parameters nodes that are referenced by a specific source LIMS_Parameters node. It's useful for traversing parameter reference hierarchies in a Laboratory Information Management System (LIMS), allowing users to discover which parameters are linked to or depend on a given parameter. The limit parameter controls the maximum number of results returned to prevent overwhelming queries on large graphs.

Source Code

def get_lims_parameters_with_references_parameters_lims_parameters(source_id, limit=100):
    """Get LIMS_Parameters nodes connected to a LIMS_Parameters via REFERENCES_PARAMETERS"""
    query = """
    MATCH (source:LIMS_Parameters {id: $source_id})-[r:REFERENCES_PARAMETERS]->(target:LIMS_Parameters)
    RETURN target
    LIMIT $limit
    """
    return run_query(query, {"source_id": source_id, "limit": limit})

Parameters

Name Type Default Kind
source_id - - positional_or_keyword
limit - 100 positional_or_keyword

Parameter Details

source_id: The unique identifier (id property) of the source LIMS_Parameters node from which to find referenced parameters. Expected to be a string or integer that matches an existing node's id in the database.

limit: Maximum number of target LIMS_Parameters nodes to return. Defaults to 100. Must be a positive integer. Used to prevent performance issues when querying large graphs with many relationships.

Return Value

Returns the result of run_query() function, which typically returns a list of Neo4j records containing the target LIMS_Parameters nodes that match the query criteria. Each record represents a LIMS_Parameters node connected via REFERENCES_PARAMETERS relationship. The exact return type depends on the run_query() implementation, but is likely a list of dictionaries or Neo4j Record objects containing node properties. Returns an empty list if no matching relationships are found.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is established
# Example run_query implementation:
# def run_query(query, params):
#     with driver.session() as session:
#         result = session.run(query, params)
#         return [record['target'] for record in result]

# Query for parameters referenced by parameter with id 'PARAM_001'
results = get_lims_parameters_with_references_parameters_lims_parameters('PARAM_001', limit=50)

# Process results
for node in results:
    print(f"Referenced parameter: {node['id']}")

# Query with default limit
all_refs = get_lims_parameters_with_references_parameters_lims_parameters('PARAM_002')

Best Practices

  • Ensure the source_id exists in the database before calling to avoid empty results
  • Adjust the limit parameter based on expected result size and performance requirements
  • The run_query() function must be properly implemented with error handling and connection management
  • Consider adding error handling for database connection failures
  • Validate source_id input to prevent injection attacks if user-supplied
  • Use appropriate indexes on LIMS_Parameters.id property for optimal query performance
  • Consider pagination for large result sets instead of relying solely on limit parameter

Tags

neo4j graph-database cypher-query lims parameters relationships database-query graph-traversal reference-lookup

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