如何控制PyYAML用于数据的标量形式?

时间:2011-12-27 03:49:20

标签: python yaml pyyaml

我有一个带有短字符串属性的对象,以及一个很长的多行字符串属性。我想将短字符串写为YAML引用的标量,将多行字符串作为文字标量:

my_obj.short = "Hello"
my_obj.long = "Line1\nLine2\nLine3"

我希望YAML看起来像这样:

short: "Hello"
long: |
  Line1
  Line2
  Line3

我如何指示PyYAML这样做?如果我调用yaml.dump(my_obj),它会产生类似dict的输出:

{long: 'line1

    line2

    line3

    ', short: Hello}

(不确定为什么长的是这样的双倍间距...)

我可以指示PyYAML如何对待我的属性吗?我想影响顺序和风格。

4 个答案:

答案 0 :(得分:19)

基于Any yaml libraries in Python that support dumping of long strings as block literals or folded blocks?

import yaml
from collections import OrderedDict

class quoted(str):
    pass

def quoted_presenter(dumper, data):
    return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='"')
yaml.add_representer(quoted, quoted_presenter)

class literal(str):
    pass

def literal_presenter(dumper, data):
    return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|')
yaml.add_representer(literal, literal_presenter)

def ordered_dict_presenter(dumper, data):
    return dumper.represent_dict(data.items())
yaml.add_representer(OrderedDict, ordered_dict_presenter)

d = OrderedDict(short=quoted("Hello"), long=literal("Line1\nLine2\nLine3\n"))

print(yaml.dump(d))

输出

short: "Hello"
long: |
  Line1
  Line2
  Line3

答案 1 :(得分:15)

爱上@lbt's approach,我得到了这段代码:

import yaml

def str_presenter(dumper, data):
  if len(data.splitlines()) > 1:  # check for multiline string
    return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|')
  return dumper.represent_scalar('tag:yaml.org,2002:str', data)

yaml.add_representer(str, str_presenter)

它使每个多行字符串成为块文字。

我试图避免猴子修补部分。 完全归功于@lbt和@ J.F.Sebastian。

答案 2 :(得分:12)

我希望其中包含\n的任何输入都是块文字。使用yaml/representer.py中的代码作为基础我得到了:

# -*- coding: utf-8 -*-
import yaml

def should_use_block(value):
    for c in u"\u000a\u000d\u001c\u001d\u001e\u0085\u2028\u2029":
        if c in value:
            return True
    return False

def my_represent_scalar(self, tag, value, style=None):
    if style is None:
        if should_use_block(value):
             style='|'
        else:
            style = self.default_style

    node = yaml.representer.ScalarNode(tag, value, style=style)
    if self.alias_key is not None:
        self.represented_objects[self.alias_key] = node
    return node


a={'short': "Hello", 'multiline': """Line1
Line2
Line3
""", 'multiline-unicode': u"""Lêne1
Lêne2
Lêne3
"""}

print(yaml.dump(a))
print(yaml.dump(a, allow_unicode=True))
yaml.representer.BaseRepresenter.represent_scalar = my_represent_scalar
print(yaml.dump(a))
print(yaml.dump(a, allow_unicode=True))

<强>输出

{multiline: 'Line1

    Line2

    Line3

    ', multiline-unicode: "L\xEAne1\nL\xEAne2\nL\xEAne3\n", short: Hello}

{multiline: 'Line1

    Line2

    Line3

    ', multiline-unicode: 'Lêne1

    Lêne2

    Lêne3

    ', short: Hello}

After override

multiline: |
  Line1
  Line2
  Line3
multiline-unicode: "L\xEAne1\nL\xEAne2\nL\xEAne3\n"
short: Hello

multiline: |
  Line1
  Line2
  Line3
multiline-unicode: |
  Lêne1
  Lêne2
  Lêne3
short: Hello

答案 3 :(得分:4)

你可以使用ruamel.yaml及其RoundTripLoader / Dumper(免责声明:我是该软件包的作者)除了做你想要的,它支持YAML 1.2规范(从2009年开始),还有其他一些改进:

import sys
from ruamel.yaml import YAML

yaml_str = """\
short: "Hello"  # does keep the quotes, but need to tell the loader
long: |
  Line1
  Line2
  Line3
folded: >
  some like
  explicit folding
  of scalars
  for readability
"""

yaml = YAML()
yaml.preserve_quotes = True
data = yaml.load(yaml_str)
yaml.dump(data, sys.stdout)

给出:

short: "Hello"  # does keep the quotes, but need to tell the loader
long: |
  Line1
  Line2
  Line3
folded: >
  some like
  explicit folding
  of scalars
  for readability

(包括评论,从之前的同一列开始)

您也可以从头开始创建此输出,然后再创建 确实需要提供额外的信息,例如折叠的明确位置。