YAML
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En résumé
L'explication suivante est tirée de https://learnxinyminutes.com/docs/yaml/
--- # document start
# Comments in YAML look like this.
################
# SCALAR TYPES #
################
# Our root object (which continues for the entire document) will be a map,
# which is equivalent to a dictionary, hash or object in other languages.
key: value
another_key: Another value goes here.
a_number_value: 100
scientific_notation: 1e+12
# The number 1 will be interpreted as a number, not a boolean. if you want
# it to be interpreted as a boolean, use true
boolean: true
null_value: null
key with spaces: value
# Notice that strings don't need to be quoted. However, they can be.
however: 'A string, enclosed in quotes.'
'Keys can be quoted too.': "Useful if you want to put a ':' in your key."
single quotes: 'have ''one'' escape pattern'
double quotes: "have many: \", \0, \t, \u263A, \x0d\x0a == \r\n, and more."
# UTF-8/16/32 characters need to be encoded
Superscript two: \u00B2
# Multiple-line strings can be written either as a 'literal block' (using |),
# or a 'folded block' (using '>').
literal_block: |
This entire block of text will be the value of the 'literal_block' key,
with line breaks being preserved.
The literal continues until de-dented, and the leading indentation is
stripped.
Any lines that are 'more-indented' keep the rest of their indentation -
these lines will be indented by 4 spaces.
folded_style: >
This entire block of text will be the value of 'folded_style', but this
time, all newlines will be replaced with a single space.
Blank lines, like above, are converted to a newline character.
'More-indented' lines keep their newlines, too -
this text will appear over two lines.
####################
# COLLECTION TYPES #
####################
# Nesting uses indentation. 2 space indent is preferred (but not required).
a_nested_map:
key: value
another_key: Another Value
another_nested_map:
hello: hello
# Maps don't have to have string keys.
0.25: a float key
# Keys can also be complex, like multi-line objects
# We use ? followed by a space to indicate the start of a complex key.
? |
This is a key
that has multiple lines
: and this is its value
# YAML also allows mapping between sequences with the complex key syntax
# Some language parsers might complain
# An example
? - Manchester United
- Real Madrid
: [2001-01-01, 2002-02-02]
# Sequences (equivalent to lists or arrays) look like this
# (note that the '-' counts as indentation):
a_sequence:
- Item 1
- Item 2
- 0.5 # sequences can contain disparate types.
- Item 4
- key: value
another_key: another_value
-
- This is a sequence
- inside another sequence
- - - Nested sequence indicators
- can be collapsed
# Since YAML is a superset of JSON, you can also write JSON-style maps and
# sequences:
json_map: {"key": "value"}
json_seq: [3, 2, 1, "takeoff"]
and quotes are optional: {key: [3, 2, 1, takeoff]}
#######################
# EXTRA YAML FEATURES #
#######################
# YAML also has a handy feature called 'anchors', which let you easily duplicate
# content across your document. Both of these keys will have the same value:
anchored_content: &anchor_name This string will appear as the value of two keys.
other_anchor: *anchor_name
# Anchors can be used to duplicate/inherit properties
base: &base
name: Everyone has same name
# The regexp << is called Merge Key Language-Independent Type. It is used to
# indicate that all the keys of one or more specified maps should be inserted
# into the current map.
foo: &foo
<<: *base
age: 10
bar: &bar
<<: *base
age: 20
# foo and bar would also have name: Everyone has same name
# YAML also has tags, which you can use to explicitly declare types.
explicit_string: !!str 0.5
# Some parsers implement language specific tags, like this one for Python's
# complex number type.
python_complex_number: !!python/complex 1+2j
# We can also use yaml complex keys with language specific tags
? !!python/tuple [5, 7]
: Fifty Seven
# Would be {(5, 7): 'Fifty Seven'} in Python
####################
# EXTRA YAML TYPES #
####################
# Strings and numbers aren't the only scalars that YAML can understand.
# ISO-formatted date and datetime literals are also parsed.
datetime: 2001-12-15T02:59:43.1Z
datetime_with_spaces: 2001-12-14 21:59:43.10 -5
date: 2002-12-14
# The !!binary tag indicates that a string is actually a base64-encoded
# representation of a binary blob.
gif_file: !!binary |
R0lGODlhDAAMAIQAAP//9/X17unp5WZmZgAAAOfn515eXvPz7Y6OjuDg4J+fn5
OTk6enp56enmlpaWNjY6Ojo4SEhP/++f/++f/++f/++f/++f/++f/++f/++f/+
+f/++f/++f/++f/++f/++SH+Dk1hZGUgd2l0aCBHSU1QACwAAAAADAAMAAAFLC
AgjoEwnuNAFOhpEMTRiggcz4BNJHrv/zCFcLiwMWYNG84BwwEeECcgggoBADs=
# YAML also has a set type, which looks like this:
set:
? item1
? item2
? item3
or: {item1, item2, item3}
# Sets are just maps with null values; the above is equivalent to:
set2:
item1: null
item2: null
item3: null
... # document end
Accéder à des dictionnaires enchassés
Prenons le dictionnaire suivant :
<syntaxhighlight lang='yaml'>
app_environments:
staging:
app_a:
db_host: localhost
app_b:
db_host: localhost
production:
app_a:
db_host: app_a-db.example.net
app_b:
db_host: app_b-db.example.com
</syntaxhighlight>
Il s'agit d'un dictionnaire contenant d'autres dictionnaires. On peut alors y accéder de plusieurs façons, y compris à la mode python :
{{app_environments[app_env].app_a.db_host}}
{{app_environments[app_env]['app_a']['db_host']}}
Voici les exemples officiels:
<syntaxhighlight lang="yaml"> vars:
users:
alice:
name: Alice Appleworth
telephone: 123-456-7890
bob:
name: Bob Bananarama
telephone: 987-654-3210
tasks:
# with predefined vars
- name: Print phone records
debug:
msg: "User Modèle:Item.key is Modèle:Item.value.name (Modèle:Item.value.telephone)"
loop: "Modèle:Lookup('dict', users)"
# with inline dictionary
- name: show dictionary
debug:
msg: "Modèle:Item.key: Modèle:Item.value"
with_dict: {a: 1, b: 2, c: 3}
# Items from loop can be used in when: statements
- name: set_fact when alice in key
set_fact:
alice_exists: true
loop: "Modèle:Lookup('dict', users)"
when: "'alice' in item.key"
</syntaxhighlight>