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Retrieves LIMS_Testparameters nodes from a Neo4j graph database with a configurable limit on the number of results returned.

Purpose

This function queries a Neo4j database to fetch all nodes labeled as LIMS_Testparameters, which likely represent test parameters in a Laboratory Information Management System (LIMS). It's designed for retrieving test parameter configurations or metadata stored in a graph database, with a default limit to prevent overwhelming result sets. The function uses Cypher query language to match and return nodes.

Source Code

def get_all_lims_testparameters(limit=100):
    """Return LIMS_Testparameters nodes (limited to 25)"""
    query = """
    MATCH (n:LIMS_Testparameters)
    RETURN n
    LIMIT $limit
    """
    return run_query(query, {"limit": limit})

Parameters

Parameter Details

limit: Integer value that controls the maximum number of LIMS_Testparameters nodes to return from the database. Default is 100. Note: The docstring incorrectly states 'limited to 25', but the actual default is 100. This parameter helps manage query performance and result set size.

Return Value

Returns the result of run_query() function execution. The exact return type depends on the run_query implementation, but typically would be a list of Neo4j node records or a result object containing LIMS_Testparameters nodes. Each node would contain properties associated with test parameters in the LIMS system. If no nodes match, an empty result set is returned.

Dependencies

• neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
# Example 1: Get default 100 test parameters
results = get_all_lims_testparameters()
for record in results:
    node = record['n']
    print(node)

# Example 2: Get only 10 test parameters
results = get_all_lims_testparameters(limit=10)

# Example 3: Get maximum 500 test parameters
results = get_all_lims_testparameters(limit=500)

Best Practices

• Always specify an appropriate limit value based on expected data volume to avoid performance issues
• The docstring contains incorrect information (states 'limited to 25' but default is 100) - should be updated for accuracy
• Ensure the run_query() function properly handles database connection errors and returns results in a consistent format
• Consider adding error handling for database connection failures
• For production use, consider adding pagination support for large datasets instead of relying solely on LIMIT
• Validate that the limit parameter is a positive integer before passing to the query
• Consider adding type hints for better code documentation (e.g., limit: int -> List[Dict])

Tags

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