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function get_parameter_medicationtypeproperties_with_references_medicationtypes_parameter_medicationtypes

Maturity: 41

Retrieves Parameter_MedicationTypes nodes from a Neo4j graph database that are connected to a specific Parameter_MedicationTypeProperties node via a REFERENCES_MEDICATIONTYPES relationship.

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1641 - 1648
Complexity:
simple

Purpose

This function queries a Neo4j graph database to find medication type nodes that are referenced by a medication type properties node. It's useful for traversing relationships in a medical data graph to understand which medication types are associated with specific medication type properties. The function supports pagination through a limit parameter to control the number of results returned.

Source Code

def get_parameter_medicationtypeproperties_with_references_medicationtypes_parameter_medicationtypes(source_id, limit=100):
    """Get Parameter_MedicationTypes nodes connected to a Parameter_MedicationTypeProperties via REFERENCES_MEDICATIONTYPES"""
    query = """
    MATCH (source:Parameter_MedicationTypeProperties {id: $source_id})-[r:REFERENCES_MEDICATIONTYPES]->(target:Parameter_MedicationTypes)
    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 Parameter_MedicationTypeProperties node from which to start the traversal. This should be a string or value that matches the 'id' property of a node in the database.

limit: Maximum number of Parameter_MedicationTypes nodes to return. Defaults to 100. This parameter helps control query performance and result set size. Must be a positive integer.

Return Value

Returns the result of run_query() function, which typically returns a list of Neo4j records containing the target Parameter_MedicationTypes nodes. Each record represents a node that has a REFERENCES_MEDICATIONTYPES relationship from the source Parameter_MedicationTypeProperties node. The exact return type depends on the run_query() implementation, but it likely returns a list of dictionaries or Neo4j Record objects containing node properties.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

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

# Define or import the run_query function (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['target'] for record in result]
    driver.close()

# Use the function to get medication types
source_property_id = 'med_prop_123'
medication_types = get_parameter_medicationtypeproperties_with_references_medicationtypes_parameter_medicationtypes(source_property_id, limit=50)

# Process the results
for med_type in medication_types:
    print(f"Medication Type: {med_type}")

Best Practices

  • Ensure the source_id parameter matches an existing Parameter_MedicationTypeProperties node in the database to avoid empty results
  • Use appropriate limit values to balance between performance and completeness of results
  • The run_query() function should handle database connection management, error handling, and proper resource cleanup
  • Consider adding error handling for cases where the source node doesn't exist or has no relationships
  • Validate that the Neo4j database connection is established before calling this function
  • For large result sets, consider implementing pagination by calling the function multiple times with different offsets
  • Ensure proper indexing on the 'id' property of Parameter_MedicationTypeProperties nodes for optimal query performance

Tags

neo4j graph-database cypher-query medication-types database-query relationship-traversal healthcare-data graph-traversal data-retrieval

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