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Creates a REFERENCES_SAMPLES relationship in a Neo4j graph database between a LIMS_SampleTestResults node and a LIMS_Samples node, with optional properties on the relationship.

Purpose

This function establishes a directed relationship in a Neo4j graph database from a source node (LIMS_SampleTestResults) to a target node (LIMS_Samples). It's designed for Laboratory Information Management Systems (LIMS) to link test results to their corresponding samples. The function supports adding custom properties to the relationship and uses parameterized queries to prevent injection attacks.

Source Code

def create_references_samples_relationship(source_id, target_id, properties=None):
    """Create a REFERENCES_SAMPLES relationship from LIMS_SampleTestResults to LIMS_Samples"""
    props = ""
    if properties:
        props_list = ', '.join([f"r.{prop} = ${prop}" for prop in properties.keys()])
        props = f"SET {props_list}"
    
    query = f"""
    MATCH (source:LIMS_SampleTestResults {id: $source_id})
    MATCH (target:LIMS_Samples {id: $target_id})
    CREATE (source)-[r:REFERENCES_SAMPLES]->(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

Parameter Details

source_id: The unique identifier of the source node (LIMS_SampleTestResults). This should be a value that matches the 'id' property of an existing LIMS_SampleTestResults node in the Neo4j database. Expected type: string or integer depending on your database schema.

target_id: The unique identifier of the target node (LIMS_Samples). This should be a value that matches the 'id' property of an existing LIMS_Samples node in the Neo4j database. Expected type: string or integer depending on your database schema.

properties: Optional dictionary of key-value pairs to set as properties on the created relationship. Keys should be valid property names, and values can be any Neo4j-compatible data type (strings, numbers, booleans, etc.). Default is None, meaning no additional properties will be set on the relationship.

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 fails or no result is returned (e.g., if either the source or target node doesn't exist). The return type is typically a Neo4j relationship record or None.

Dependencies

• neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j is configured
# Example 1: Create relationship without properties
result = create_references_samples_relationship(
    source_id="TEST_001",
    target_id="SAMPLE_123"
)

# Example 2: Create relationship with properties
result = create_references_samples_relationship(
    source_id="TEST_002",
    target_id="SAMPLE_456",
    properties={
        "created_date": "2024-01-15",
        "confidence_level": 0.95,
        "verified": True
    }
)

if result:
    print(f"Relationship created successfully: {result}")
else:
    print("Failed to create relationship")

Best Practices

• Always verify that both source and target nodes exist before calling this function to avoid silent failures
• Check the return value to confirm the relationship was created successfully
• Use meaningful property names that follow your database schema conventions
• Ensure the run_query function properly handles database connections and error handling
• Consider wrapping this function in a try-except block to handle potential Neo4j connection errors
• Validate source_id and target_id before passing them to prevent query failures
• Be aware that this function will fail silently (return None) if nodes don't exist rather than raising an exception
• The function uses parameterized queries which is good for security, but ensure the run_query function also follows security best practices
• Consider adding duplicate relationship checks if your use case requires unique relationships between nodes

Tags

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