🔍 Code Extractor

function get_dbo_concepthouses_with_references_houses_dbo_houses

Maturity: 42

Queries a Neo4j graph database to retrieve dbo_Houses nodes that are connected to a specific dbo_ConceptHouses node through a REFERENCES_HOUSES relationship.

File:
/tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
Lines:
1705 - 1712
Complexity:
simple

Purpose

This function is designed to traverse a knowledge graph in Neo4j to find all house entities (dbo_Houses) that are referenced by a concept house entity (dbo_ConceptHouses). It's useful for exploring relationships in a semantic database where conceptual entities link to concrete instances, such as in a knowledge base derived from DBpedia or similar structured data sources. The function supports pagination through a limit parameter to control result set size.

Source Code

def get_dbo_concepthouses_with_references_houses_dbo_houses(source_id, limit=100):
    """Get dbo_Houses nodes connected to a dbo_ConceptHouses via REFERENCES_HOUSES"""
    query = """
    MATCH (source:dbo_ConceptHouses {id: $source_id})-[r:REFERENCES_HOUSES]->(target:dbo_Houses)
    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 dbo_ConceptHouses node from which to start the traversal. This should be a string or value that matches the 'id' property of a node in the Neo4j database with the label dbo_ConceptHouses.

limit: Maximum number of dbo_Houses nodes to return from the query. Defaults to 100. This parameter helps control memory usage and response time by limiting result set size. Must be a positive integer.

Return Value

Returns the result of the run_query function, which typically contains a list or collection of Neo4j records representing dbo_Houses nodes. Each record contains the 'target' node with all its properties. The exact return type depends on the implementation of run_query, but it's likely a list of dictionaries or Neo4j Record objects containing node properties. Returns an empty collection if no matching relationships are found or if the source node doesn't exist.

Dependencies

  • neo4j

Required Imports

from neo4j import GraphDatabase

Usage Example

# Assuming run_query is defined and Neo4j connection is configured
# Example 1: Get houses referenced by a concept house
result = get_dbo_concepthouses_with_references_houses_dbo_houses(
    source_id="ConceptHouse_123",
    limit=50
)

# Example 2: Process the results
for record in result:
    house_node = record['target']
    print(f"House ID: {house_node.get('id')}")
    print(f"House Name: {house_node.get('name')}")

# Example 3: Get all references (using a large limit)
all_houses = get_dbo_concepthouses_with_references_houses_dbo_houses(
    source_id="ConceptHouse_456",
    limit=1000
)

Best Practices

  • Always validate that source_id exists before calling this function to avoid empty results
  • Use appropriate limit values based on expected result size to prevent memory issues with large graphs
  • Consider implementing error handling around this function to catch Neo4j connection errors
  • The run_query function should handle connection pooling and proper session management
  • For production use, consider adding pagination support (offset parameter) for very large result sets
  • Ensure proper indexing on the 'id' property of dbo_ConceptHouses nodes for optimal query performance
  • Consider caching results if the same source_id is queried frequently
  • Validate that the limit parameter is a positive integer before passing to the query

Tags

neo4j graph-database cypher-query knowledge-graph dbpedia relationship-traversal graph-traversal semantic-web data-retrieval ontology

Similar Components

AI-powered semantic similarity - components with related functionality:

  • function get_dbo_concepthouses_with_references_concepts_dbo_concepts 95.8% similar

    Queries a Neo4j graph database to retrieve dbo_Concepts nodes that are connected to a specific dbo_ConceptHouses node through a REFERENCES_CONCEPTS relationship.

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

  • function get_all_dbo_concepthouses 88.1% similar

    Queries a Neo4j graph database to retrieve nodes of type dbo_ConceptHouses with a configurable limit on the number of results returned.

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

  • function get_dbo_concepthouses_by_id 84.8% similar

    Retrieves a single dbo_ConceptHouses node from a Neo4j graph database by matching its unique ID property.

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

  • function get_dbo_treatments_with_references_houses_dbo_houses 82.7% similar

    Retrieves dbo_Houses nodes from a Neo4j graph database that are connected to a specific dbo_Treatments node via a REFERENCES_HOUSES relationship.

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

  • function get_dbo_houses_with_references_establishment_dbo_establishment 82.3% similar

    Queries a Neo4j graph database to retrieve dbo_Establishment nodes that are connected to a specific dbo_Houses node through a REFERENCES_ESTABLISHMENT relationship.

    From: /tf/active/vicechatdev/neo4j_schema/neo4j_python_snippets.py
← Back to Browse