Reputation: 130
I've been trying to get to grips with PyYAML as I love it's readability, and would like to use it in a few open source projects I'm working as an alternative to JSON.
However, I'm struggling to understand exactly how to construct objects with composition. I opened this question: PyYAML - how to deal with compositon and it seemed to work in terms of reading out the info, but not in the context of the full program.
Here's a stripped down example of what I'm trying to YAMLify:
import yaml
import data
class DungeonObject(yaml.YAMLObject):
yaml_tag = u'!DungeonObject'
def __init__(self, x, y, char, name, blocks=False, fighter=None):
self.x = x
self.y = y
self.char = char
self.name = name
self.blocks = blocks
self.fighter = fighter
if self.fighter:
self.fighter.owner = self
def __repr__(self):
return "%s(x=%r, y=%r, char=%r, name=%r, blocks=%r fighter=%r)" % (self.__class__.__name__, self.x, self.y, self.char, self.name, self.blocks, self.fighter)
class Fighter(yaml.YAMLObject):
yaml_tag = u'!Fighter'
#combat-related properties and methods (monster, player, NPC).
def __init__(self, hp, defense, strength):
self.hp = hp
self.base_defense = defense
self.base_strength = strength
def __repr__(self):
return "%s(hp=%r, defense=%r, strength=%r)" % (self.__class__.__name__, self.hp, self.defense, self.strength)
monsters = {DungeonObject.name : DungeonObject for DungeonObject in yaml.load_all(data.monsterdata)}
print (monsters)
And my YAML file:
monsterdata = """
---
!Fighter &fighter_component
hp: 20
defense: 0
strength: 4
!DungeonObject
x: x
y: y
char: 'o'
name: 'orc'
blocks: True
fighter: fighter_component
---
!Fighter &fighter_component
hp: 9
defense: 0
strength: 10
!DungeonObject
x: x
y: y
char: 't'
name: 'troll'
blocks: True
fighter: fighter_component
"""
With this, I'm getting the error: line 32, in monsters = {DungeonObject.name : DungeonObject for DungeonObject in yaml.load_all(data.monsterdata)} AttributeError: 'Fighter' object has no attribute 'name'
Upvotes: 2
Views: 1013
Reputation: 76792
Each document should contain a sequence/list that consists of a Fighter
and a DungeonObject
. The former has no name, so you should filter on DungeonObjects that are actuall of type DungeonObject and not of type Fighter.
What is a bit confusing is that you use a variable DungeonObject as well, so try to use dungeon_object
for the variable:
from ruamel import yaml
monsterdata = """
---
- !Fighter &fighter_component
hp: 20
defense: 0
strength: 4
- !DungeonObject
x: x
y: y
char: 'o'
name: 'orc'
blocks: True
fighter: fighter_component
---
- !Fighter &fighter_component
hp: 9
defense: 0
strength: 10
- !DungeonObject
x: x
y: y
char: 't'
name: 'troll'
blocks: True
fighter: fighter_component
"""
class DungeonObject(yaml.YAMLObject):
yaml_tag = u'!DungeonObject'
def __init__(self, x, y, char, name, blocks=False, fighter=None):
self.x = x
self.y = y
self.char = char
self.name = name
self.blocks = blocks
self.fighter = fighter
if self.fighter:
self.fighter.owner = self
def __repr__(self):
return "{}(x={!r}, y={!r}, char={!r}, name={!r}, blocks={!r} fighter={!r})".format(
self.__class__.__name__, self.x, self.y, self.char, self.name,
self.blocks, self.fighter)
class Fighter(yaml.YAMLObject):
yaml_tag = u'!Fighter'
# combat-related properties and methods (monster, player, NPC).
def __init__(self, hp, defense, strength):
self.hp = hp
self.base_defense = defense
self.base_strength = strength
def __repr__(self):
return "{}(hp={!r}, defense={!r}, strength={!r})".format(
self.__class__.__name__, self.hp, self.defense, self.strength)
monsters = {}
for doc in yaml.load_all(monsterdata, Loader=yaml.Loader):
for dungeon_object in doc:
if isinstance(dungeon_object, DungeonObject):
monsters[dungeon_object.name] = dungeon_object
print (monsters)
Which gives:
{'orc': DungeonObject(x='x', y='y', char='o', name='orc', blocks=True fighter='fighter_component'), 'troll': DungeonObject(x='x', y='y', char='t', name='troll', blocks=True fighter='fighter_component')}
I updated the __repr__
to use the more modern .format()
method. Since I am using ruamel.yaml (which is a superset of PyYAML functionality and backwards compatible), I need to specify the Loader explicitly to suppress the warning that load_all
is unsafe when using the default loader. (Disclaimer: I am the developer of that package)
Upvotes: 1