🔍 Code Extractor

Retrieves a single dbo_Flocks node from a Neo4j graph database by its unique ID using a Cypher query.

Purpose

This function queries a Neo4j database to fetch a specific dbo_Flocks node matching the provided ID. It's designed for retrieving individual flock records from a graph database, likely part of a larger system managing flock-related data. The function returns the first matching node or None if no match is found.

Source Code

def get_dbo_flocks_by_id(id):
    """Get a dbo_Flocks node by its ID"""
    query = """
    MATCH (n:dbo_Flocks {id: $id})
    RETURN n
    """
    result = run_query(query, {"id": id})
    return result[0] if result else None

Parameters

Parameter Details

id: The unique identifier for the dbo_Flocks node to retrieve. Expected to be a string or integer that matches the 'id' property of nodes labeled as 'dbo_Flocks' in the Neo4j database. This parameter is used directly in the Cypher query as a parameterized value to prevent injection attacks.

Return Value

Returns a single dbo_Flocks node object (typically a dictionary or Neo4j node object) if a matching node is found, or None if no node with the specified ID exists. The returned node contains all properties associated with the dbo_Flocks node in the database. The function assumes run_query returns a list-like structure and extracts the first element.

Dependencies

• neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
# Example run_query 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["n"] for record in result]
#     driver.close()

# Retrieve a flock by ID
flock_id = "flock_12345"
flock = get_dbo_flocks_by_id(flock_id)

if flock:
    print(f"Found flock: {flock}")
else:
    print(f"No flock found with ID: {flock_id}")

Best Practices

• Ensure the run_query function properly handles database connections and closes them to prevent resource leaks
• Always check if the return value is None before accessing node properties to avoid AttributeError
• The function uses parameterized queries ($id) which is good practice for preventing Cypher injection attacks
• Consider adding error handling for database connection failures or query execution errors
• The function assumes run_query returns a list; ensure this contract is maintained
• For production use, consider adding logging for debugging and monitoring database queries
• Validate the id parameter before passing it to the query to ensure it meets expected format requirements

Tags

Similar Components

AI-powered semantic similarity - components with related functionality:

• function get_dbo_flocks_by_uid 90.2% similar

  Retrieves a single dbo_Flocks node from a Neo4j graph database by matching its unique identifier (UID).

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

• function get_dbo_flocktypes_by_id 89.4% similar

  Retrieves a single dbo_FlockTypes node from a Neo4j graph database by its unique ID using a Cypher query.

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

• function get_all_dbo_flocks 82.7% similar

  Queries a Neo4j graph database to retrieve all nodes labeled as 'dbo_Flocks' with a configurable limit on the number of results returned.

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

• function get_dbo_flocktypes_by_uid 81.2% similar

  Retrieves a single dbo_FlockTypes node from a Neo4j graph database by matching its unique identifier (UID).

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

• function get_dbo_flocks_with_references_flocktypes_dbo_flocktypes 80.2% similar

  Queries a Neo4j graph database to retrieve dbo_FlockTypes nodes that are connected to a specific dbo_Flocks node via a REFERENCES_FLOCKTYPES relationship.

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