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Version: 0.8

Data Integration

Introduction​

In KCL, we can not only compile and output the configuration code written by KCL into YAML format data, but also directly embed JSON/YAML and other data into the KCL language.

Use KCL for Data Integration​

0. Prerequisite​

1. Get the Example​

Firstly, let's get the example.

git clone https://github.com/kcl-lang/kcl-lang.io.git/
cd ./kcl-lang.io/examples/data-integration

2. 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

3. 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]}'

Summary​

This document introduces how to perform data integration in KCL, using the built-in yaml and json modules to directly integrate YAML and JSON data into the KCL language, and verify and serialize it using the corresponding decoding and encoding functions.