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function create_references_medicationtypes_relationship

Maturity: 50

Creates a REFERENCES_MEDICATIONTYPES relationship in a Neo4j graph database between a Parameter_MedicationTypeProperties node and a Parameter_MedicationTypes node, with optional properties on the relationship.

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1650 - 1670
Complexity:
moderate

Purpose

This function establishes a directed relationship in a Neo4j graph database to link medication type properties to their corresponding medication types. It's designed for healthcare or pharmaceutical data modeling where medication type properties need to reference their parent medication type entities. The function supports adding custom properties to the relationship edge for additional metadata.

Source Code

def create_references_medicationtypes_relationship(source_id, target_id, properties=None):
    """Create a REFERENCES_MEDICATIONTYPES relationship from Parameter_MedicationTypeProperties to Parameter_MedicationTypes"""
    props = ""
    if properties:
        props_list = ', '.join([f"r.{prop} = ${prop}" for prop in properties.keys()])
        props = f"SET {props_list}"
    
    query = f"""
    MATCH (source:Parameter_MedicationTypeProperties {id: $source_id})
    MATCH (target:Parameter_MedicationTypes {id: $target_id})
    CREATE (source)-[r:REFERENCES_MEDICATIONTYPES]->(target)
    {props}
    RETURN r
    """
    
    params = {"source_id": source_id, "target_id": target_id}
    if properties:
        params.update(properties)
    
    result = run_query(query, params)
    return result[0] if result else None

Parameters

Name Type Default Kind
source_id - - positional_or_keyword
target_id - - positional_or_keyword
properties - None positional_or_keyword

Parameter Details

source_id: The unique identifier of the source node (Parameter_MedicationTypeProperties). This value is used to match the source node in the Neo4j database using its 'id' property.

target_id: The unique identifier of the target node (Parameter_MedicationTypes). This value is used to match the target node in the Neo4j database using its 'id' property.

properties: Optional dictionary containing key-value pairs to be set as properties on the created relationship. Keys should be valid property names and values can be any Neo4j-compatible data type. Defaults to None if no additional properties are needed.

Return Value

Returns the created relationship object (r) from Neo4j if successful, containing the relationship details and any properties set. Returns None if the query execution fails or returns no results. The relationship object typically includes relationship type, properties, and references to connected nodes.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query function is defined and Neo4j is configured

# Create relationship without properties
relationship = create_references_medicationtypes_relationship(
    source_id="prop_123",
    target_id="type_456"
)

# Create relationship with properties
relationship_with_props = create_references_medicationtypes_relationship(
    source_id="prop_123",
    target_id="type_456",
    properties={
        "created_date": "2024-01-15",
        "confidence_score": 0.95,
        "verified": True
    }
)

if relationship_with_props:
    print("Relationship created successfully")
else:
    print("Failed to create relationship")

Best Practices

  • Ensure both source and target nodes exist in the database before calling this function to avoid query failures
  • Validate source_id and target_id parameters to prevent injection attacks or malformed queries
  • Use meaningful property names in the properties dictionary that follow Neo4j naming conventions
  • Handle the None return value appropriately to detect when relationship creation fails
  • Consider wrapping this function call in try-except blocks to handle Neo4j connection errors
  • Avoid creating duplicate relationships by checking if the relationship already exists before calling this function
  • Ensure the run_query function properly manages database connections and transactions
  • Use parameterized queries (as implemented) to prevent Cypher injection vulnerabilities
  • Consider adding validation for property values to ensure they are compatible with Neo4j data types

Similar Components

AI-powered semantic similarity - components with related functionality:

  • function create_parameter_medicationtypes 81.4% similar

    Creates a new Parameter_MedicationTypes node in a Neo4j graph database with the specified properties and returns the created node.

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
  • function get_parameter_medicationtypeproperties_with_references_medicationtypes_parameter_medicationtypes 80.6% similar

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

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
  • function create_parameter_medicationtypeproperties 78.8% similar

    Creates a new Parameter_MedicationTypeProperties node in a Neo4j graph database with the provided properties and returns the created node.

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
  • function create_references_parameters_relationship 77.1% similar

    Creates a REFERENCES_PARAMETERS relationship between two LIMS_Parameters nodes in a Neo4j graph database, with optional properties on the relationship.

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
  • function create_references_parameters_relationship_v1 75.7% similar

    Creates a REFERENCES_PARAMETERS relationship in a Neo4j graph database between a LIMS_Testparameters node and a LIMS_Parameters node, with optional properties on the relationship.

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
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