data-integration

Data Integration in KCL

Prerequisite

• Firstly, download and install KCL according to the instructions, and then prepare a Kubernetes environment.

Quick Start

1. YAML Integration

We can run the following command to show the YAML integration config.

cat yaml.k

import yaml

schema Server:
    ports: [int]

server: Server = yaml.decode("""\
ports:
- 80
- 8080
""")
server_yaml = yaml.encode({
    ports = [80, 8080]
})

In the above code, we use the built-in yaml module of KCL and its yaml.decode function directly integrates YAML data, and uses the Server schema to directly verify the integrated YAML data. In addition, we can use yaml.encode to serialize YAML data. We can obtain the configuration output through the following command:

kcl yaml.k

The output is

server:
  ports:
  - 80
  - 8080
server_yaml: |
  ports:
  - 80
  - 8080

2. JSON Integration

Similarly, for JSON data, we can use json.encode and json.decode function performs data integration in the same way.

We can run the following command to show the JSON integration config.

cat json.k

import json

schema Server:
    ports: [int]

server: Server = json.decode('{"ports": [80, 8080]}')
server_json = json.encode({
    ports = [80, 8080]
})

The output of the execution command is:

kcl json.k

server:
  ports:
  - 80
  - 8080
server_json: '{"ports": [80, 8080]}'