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function get_lims_testparameters_with_references_parameters_lims_parameters

Maturity: 40

Queries a Neo4j graph database to retrieve LIMS_Parameters nodes that are connected to a specific LIMS_Testparameters node through a REFERENCES_PARAMETERS relationship.

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1577 - 1584
Complexity:
simple

Purpose

This function is designed to traverse a graph database structure representing a Laboratory Information Management System (LIMS). It finds all parameter definitions (LIMS_Parameters) that are referenced by a specific test parameter configuration (LIMS_Testparameters). This is useful for understanding which parameters are associated with a particular test configuration, enabling test setup validation, parameter dependency analysis, and test configuration management.

Source Code

def get_lims_testparameters_with_references_parameters_lims_parameters(source_id, limit=100):
    """Get LIMS_Parameters nodes connected to a LIMS_Testparameters via REFERENCES_PARAMETERS"""
    query = """
    MATCH (source:LIMS_Testparameters {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 LIMS_Testparameters node from which to start the traversal. This should be a string or value that matches the 'id' property of a LIMS_Testparameters node in the Neo4j database.

limit: Maximum number of LIMS_Parameters nodes to return. Defaults to 100. This parameter controls query performance and prevents returning excessively large result sets. Must be a positive integer.

Return Value

Returns the result of the run_query function, which typically contains a list or collection of LIMS_Parameters nodes (as Neo4j node objects or dictionaries) that are connected to the specified LIMS_Testparameters node via REFERENCES_PARAMETERS relationships. The exact return type depends on the implementation of run_query, but it commonly returns a list of records where each record contains the 'target' node data. Returns an empty collection if no matching relationships are found or if the source_id doesn't exist.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
# Example: Get all parameters referenced by test parameter with id 'TP001'

result = get_lims_testparameters_with_references_parameters_lims_parameters(
    source_id='TP001',
    limit=50
)

# Process the results
for record in result:
    parameter_node = record['target']
    print(f"Parameter ID: {parameter_node['id']}")
    print(f"Parameter Name: {parameter_node.get('name', 'N/A')}")

# Example with default limit
all_params = get_lims_testparameters_with_references_parameters_lims_parameters(
    source_id='TP002'
)

Best Practices

  • Ensure the source_id exists in the database before calling this function to avoid empty results
  • Adjust the limit parameter based on expected result size to optimize query performance
  • Handle empty result sets gracefully in calling code
  • Consider adding error handling for database connection issues
  • Validate that the run_query function is properly configured with Neo4j connection details
  • Use appropriate indexes on the 'id' property of LIMS_Testparameters nodes for better query performance
  • Consider pagination for large result sets by calling the function multiple times with different offsets if needed

Tags

neo4j graph-database lims database-query relationship-traversal cypher parameters test-configuration data-retrieval

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