I get it on some level, but I have yet to see an example that didn't bring up more questions than answers.
http://rhnh.net/2011/01/31/yaml-tutorial
# Set.new([1,2]).to_yaml
--- !ruby/object:Set
hash:
1: true
2: true
I get that we're declaring a Set tag. I don't get what the subsequent hash mapping has to do with it. Are we declaring a schema? Can someone show me an example with multiple tag declarations?
I've read through the spec: http://yaml.org/spec/1.2/spec.html#id2761292
%TAG ! tag:clarkevans.com,2002:
Is this declaring a schema? Is there something else a parser has to do in order to successfully parse the file? A schema file of some type?
http://www.yaml.org/refcard.html
Tag property: # Usually unspecified.
none : Unspecified tag (automatically resolved by application).
'!' : Non-specific tag (by default, "!!map"/"!!seq"/"!!str").
'!foo' : Primary (by convention, means a local "!foo" tag).
'!!foo' : Secondary (by convention, means "tag:yaml.org,2002:foo").
'!h!foo': Requires "%TAG !h! <prefix>" (and then means "<prefix>foo").
'!<foo>': Verbatim tag (always means "foo").
Why is it relevant to have a primary and secondary tag, and why does a secondary tag refer to a URI? What problem is being solved by having these?
I seem to see a lot of "what they are", and no "why are they there", or "what are they used for".
YAML (/ˈjæməl/ and YAH-ml) (see § History and name) is a human-readable data-serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted.
YAML is a digestible data serialization language often used to create configuration files with any programming language. Designed for human interaction, YAML is a strict superset of JSON, another data serialization language. But because it's a strict superset, it can do everything that JSON can and more.
YAML represents the data structure using three kinds of nodes: sequence, mapping and scalar.
It is more human-readable. YAML allows you to represent complex data structures in a human-readable format. It is unambiguous. YAML unambiguously specifies the data structures of the serialized data, so there's no need to rely on comments or documentation.
I don't know a lot about YAML but I'll give it a shot:
Tags are used to denote types. A tag is declared using !
as you have seen from the "refcard" there. The %TAG
directive is kind of like declaring a shortcut to a tag.
I'll demonstrate with PyYaml. PyYaml can parse the secondary tag of !!python/object:
as an actual python object. The double exclamation mark is a substitution in itself, short for !tag:yaml.org,2002:
, which turns the whole expression into !tag:yaml.org,2002:python/object:
. This expression is a little unwieldy to be typing out every time we want to create an object, so we give it an alias using the %TAG
directive:
%TAG !py! tag:yaml.org,2002:python/object: # declares the tag alias
---
- !py!__main__.MyClass # creates an instance of MyClass
- !!python/object:__main__.MyClass # equivalent with no alias
- !<tag:yaml.org,2002:python/object:__main__.MyClass> # equivalent using primary tag
Nodes are parsed by their default type if you have no tag annotations. The following are equivalent:
- 1: Alex
- !!int "1": !!str "Alex"
Here is a complete Python program using PyYaml demonstrating tag usage:
import yaml
class Entity:
def __init__(self, idNum, components):
self.id = idNum
self.components = components
def __repr__(self):
return "%s(id=%r, components=%r)" % (
self.__class__.__name__, self.id, self.components)
class Component:
def __init__(self, name):
self.name = name
def __repr__(self):
return "%s(name=%r)" % (
self.__class__.__name__, self.name)
text = """
%TAG !py! tag:yaml.org,2002:python/object:__main__.
---
- !py!Component &transform
name: Transform
- !!python/object:__main__.Component &render
name: Render
- !<tag:yaml.org,2002:python/object:__main__.Entity>
id: 123
components: [*transform, *render]
- !<tag:yaml.org,2002:int> "3"
"""
result = yaml.load(text)
More information is available in the spec
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