I've got an object with a short string attribute, and a long multi-line string attribute. I want to write the short string as a YAML quoted scalar, and the multi-line string as a literal scalar:
my_obj.short = "Hello" my_obj.long = "Line1\nLine2\nLine3" I'd like the YAML to look like this:
short: "Hello" long: |   Line1   Line2   Line3 How can I instruct PyYAML to do this?  If I call yaml.dump(my_obj), it produces a dict-like output:
{long: 'line1      line2      line3      ', short: Hello} (Not sure why long is double-spaced like that...)
Can I dictate to PyYAML how to treat my attributes? I'd like to affect both the order and style.
Falling in love with @lbt's approach, I got this code:
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)  # to use with safe_dump: yaml.representer.SafeRepresenter.add_representer(str, str_presenter) It makes every multiline string be a block literal.
I was trying to avoid the monkey patching part. Full credit to @lbt and @J.F.Sebastian.
Based on 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)) short: "Hello" long: |   Line1   Line2   Line3 If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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