How to use YAML to create a common node between two functions in Apache Age?

have two Python functions that each create a Person node in an Apache Age graph. I want to create a common Person node between these two functions that has the same properties. I've been told that YAML can be used to define a common configuration file that can be included in both functions to create or update the common Person node.

My question is: How can I use YAML to define a common configuration file that can be used to create or update a common Person node between my two functions in Apache Age? Specifically, how do I load the YAML file into a Python dictionary, and how do I use the dictionary to set the properties of the Person node in my Apache Age graph?

Here's an example YAML configuration file that defines a common Person node with a name property:

Copy common_person: name: John Doe And here's an example function that creates or updates the Person node in Apache Age using the common_config dictionary:

from age import Graph

def update_person_node(common_config):
    graph = Graph("path/to/database")
    with graph.transaction() as tx:
        tx.query(
            "MERGE (p:Person {name: $name}) "
            "SET p += $props",
            name=common_config['common_person']['name'],
            props=common_config['common_person']
        )

What is the best way to load the YAML file into a Python dictionary, and how do I use the dictionary to create or update the Person node in my Apache Age graph?

Solution

Here is the example, You can use the PyYAML package to load the YAML file into a Python dictionary.

import yaml
from age import Graph

def load_yaml(file_path):
    with open(file_path, 'r') as yaml_file:
    data = yaml.safe_load(yaml_file)
return data

# Use the dictionary to create or update the Person node in your Apache AGE  graph
vertex_id = config_data['id']
vertex_properties = config_data.copy()
del vertex_properties['id']

graph = Graph('path/to/database')
with graph.transaction() as tx:
tx.query(
    "MERGE (p:Person {id: $id}) "
    "SET p += $props",
    id=vertex_id,
    props=vertex_properties
   )

This is load_yaml function loads the YAML file into a python dictionary. You can then use this dictionary to create or update the person node in your Apache AGE graph.