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Version: 0.10

yaml

encode

encode(
data: any,
sort_keys: bool = False,
ignore_private: bool = False,
ignore_none: bool = False
) -> str

Serialize a KCL object data to a YAML formatted str.

import yaml

data = {
"key1": "value1"
"key2": "value2"
"data": [1, 2, 3]
}
data_string = yaml.encode(data)

encode_all

encode(
data: [any],
sort_keys: bool = False,
ignore_private: bool = False,
ignore_none: bool = False
) -> str

Serialize a sequence of KCL objects into a YAML stream str.

import yaml

yamlStr = yaml.encode_all([1, 2, 3])

decode

decode(value: str) -> any

Deserialize value (a string instance containing a YAML document) to a KCL object.

import yaml
import file

data_string = yaml.decode(file.read("test.yaml"))

key1 = data_string.key1
key2 = data_string.key2
data = data_string.data

decode_all

decode_all(value: str) -> [any]

Parse all YAML documents in a stream and produce corresponding KCL objects.

import yaml

yamlStr = """\
key: value
"""
data = yaml.decode(yamlStr)
dataList = yaml.decode_all(yamlStr)

dump_to_file

dump_to_file(
data: any,
filename: str,
ignore_private: bool = False,
ignore_none: bool = False
) -> None

Serialize a KCL object data to a YAML formatted str and write it into the file filename.

import yaml

schema Person:
name?: str
age?: int
school?: str
data?: [int] = [1, 2, None]

person = Person {
name: "Alice"
age: 18
}
filename = "out.yaml"
yaml.dump_to_file(person, filename, ignore_private=True, ignore_none=True)

dump_all_to_file

dump_all_to_file(
data: [any],
filename: str,
ignore_private: bool = False,
ignore_none: bool = False
) -> None

Serialize a sequence of KCL objects into a YAML stream str and write it into the file filename.

import yaml

yamlStrList = [
'key: value',
'- 1\n- 2\n- 3',
'1',
'1.1',
'null',
'true',
]
yaml.dump_all_to_file(yamlStrList, "0.yaml")

validate

validate(value: str) -> bool

Validate whether the given string is a valid YAML or YAML stream document.

import yaml

# Right cases

resultRight1: bool = yaml.validate("1")
resultRight2: bool = yaml.validate("true")
resultRight3: bool = yaml.validate("1.20")
resultRight4: bool = yaml.validate("null")
resultRight5: bool = yaml.validate("[0, 1, 2]")
resultRight6: bool = yaml.validate('{"key": "value"}')
resultRight7: bool = yaml.validate('a:1\n---\nb:2')

# Wrong cases

resultWrong1: bool = yaml.validate("a:\n1")
resultWrong2: bool = yaml.validate("a:\n1\n - 2")
resultWrong3: bool = yaml.validate("a:\n-1")
resultWrong4: bool = yaml.validate("1a : \n1")
resultWrong5: bool = yaml.validate("a:\n- 1\n-----\na:\n- 1")
resultWrong6: bool = yaml.validate(r'''{"key" + 'value'}''')
resultWrong7: bool = yaml.validate("a:1\n-----\nb:\n-2")