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

Question

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?

Asked By: AmrShams07

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Source

Answer 1

You can use the YAML library. Install it by pip

pip install pyyaml

and this is the official library documentation: Pyyaml Documentation

follow the link to reach more about it: Python YAML: How to Load, Read, and Write YAML have a lot of implementations about this library in this link.

to use the dictionary for doing CRUD operations I think that you have to search about an other library to connect them (dictionary and APACHE AGE graph)

Answered By: Marcos Silva

Answer 2

Install the PyYAML package and import the necessary libraries.

Load the YAML file into a Python dictionary.

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

# Example usage
config_data = load_yaml('person_config.yaml')

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']

Answered By: Sadeed Ahmad

Answer 3

To load a YAML file into a Python dictionary, you can use the yaml module. Here’s an example of how you can load the YAML file and use the dictionary to create or update the Person node in your Apache Age graph:

import yaml
from age import Graph

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

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']
        )

# Load YAML file into a dictionary
common_config = load_yaml_file('path/to/config.yaml')

# Call the function to update the Person node
update_person_node(common_config)

Make sure to replace 'path/to/config.yaml' with the actual path to your YAML configuration file.

In this code, the load_yaml_file function reads the YAML file and returns a dictionary containing the data. The yaml.safe_load function is used to safely load the file and parse its contents.

Then, the update_person_node function takes the common_config dictionary as an argument. It creates or updates the Person node in your Apache Age graph using the properties specified in the dictionary. The MERGE query ensures that the node is either created or updated based on the provided name, and the SET clause sets the properties of the node using the props dictionary.

By loading the same YAML file into both functions, you ensure that they share the same configuration and create/update the common Person node consistently.

Answered By: tokamak32

Answer 4

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.

Answered By: Pawan Kumar

Answer 5

The way yo can use YAML to define a common configuration file is as follows:

Install PyYAML using the following command:

pip install PyYAML
Configure and create the YAML file using and name it using the common person node configuration.
Load the YAML file into a python dictionary and lastly, update the APACHE AGE node using the configurati0on you made in the python dictionary.

Answered By: Haseeb Ashraf

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

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