In Python, how can you load YAML mappings as OrderedDicts?

Question

I'd like to get PyYAML's loader to load mappings (and ordered mappings) into the Python 2.7+ OrderedDict type, instead of the vanilla dict and the list of pairs it currently uses.

What's the best way to do that?

Answer 1

Python >= 3.6

In python 3.6+, it seems that dict loading order is preserved by default without special dictionary types. The default Dumper, on the other hand, sorts dictionaries by key. Starting with pyyaml 5.1, you can turn this off by passing sort_keys=False:

a = dict(zip("unsorted", "unsorted"))
s = yaml.safe_dump(a, sort_keys=False)
b = yaml.safe_load(s)

assert list(a.keys()) == list(b.keys())  # True

This can work due to the new dict implementation that has been in use in pypy for some time. While still considered an implementation detail in CPython 3.6, "the insertion-order preserving nature of dicts has been declared an official part of the Python language spec" as of 3.7+, see What's New In Python 3.7.

Note that this is still undocumented from PyYAML side, so you shouldn't rely on this for safety critical applications.

Original answer (compatible with all known versions)

I like @James' solution for its simplicity. However, it changes the default global yaml.Loader class, which can lead to troublesome side effects. Especially, when writing library code this is a bad idea. Also, it doesn't directly work with yaml.safe_load().

Fortunately, the solution can be improved without much effort:

import yaml
from collections import OrderedDict

def ordered_load(stream, Loader=yaml.SafeLoader, object_pairs_hook=OrderedDict):
    class OrderedLoader(Loader):
        pass
    def construct_mapping(loader, node):
        loader.flatten_mapping(node)
        return object_pairs_hook(loader.construct_pairs(node))
    OrderedLoader.add_constructor(
        yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,
        construct_mapping)
    return yaml.load(stream, OrderedLoader)

# usage example:
ordered_load(stream, yaml.SafeLoader)

For serialization, you could use the following funcion:

def ordered_dump(data, stream=None, Dumper=yaml.SafeDumper, **kwds):
    class OrderedDumper(Dumper):
        pass
    def _dict_representer(dumper, data):
        return dumper.represent_mapping(
            yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,
            data.items())
    OrderedDumper.add_representer(OrderedDict, _dict_representer)
    return yaml.dump(data, stream, OrderedDumper, **kwds)

# usage:
ordered_dump(data, Dumper=yaml.SafeDumper)

In each case, you could also make the custom subclasses global, so that they don't have to be recreated on each call.

Answer 2

2018 option:

oyaml is a drop-in replacement for PyYAML which preserves dict ordering. Both Python 2 and Python 3 are supported. Just pip install oyaml, and import as shown below:

import oyaml as yaml

You'll no longer be annoyed by screwed-up mappings when dumping/loading.

_{Note: I'm the author of oyaml.}

Answer 3

The yaml module allow you to specify custom 'representers' to convert Python objects to text and 'constructors' to reverse the process.

_mapping_tag = yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG

def dict_representer(dumper, data):
    return dumper.represent_dict(data.iteritems())

def dict_constructor(loader, node):
    return collections.OrderedDict(loader.construct_pairs(node))

yaml.add_representer(collections.OrderedDict, dict_representer)
yaml.add_constructor(_mapping_tag, dict_constructor)

Answer 4

2015 (and later) option:

ruamel.yaml is a drop in replacement for PyYAML (disclaimer: I am the author of that package). Preserving the order of the mappings was one of the things added in the first version (0.1) back in 2015. Not only does it preserve the order of your dictionaries, it will also preserve comments, anchor names, tags and does support the YAML 1.2 specification (released 2009)

The specification says that the ordering is not guaranteed, but of course there is ordering in the YAML file and the appropriate parser can just hold on to that and transparently generate an object that keeps the ordering. You just need to choose the right parser, loader and dumper¹:

import sys
from ruamel.yaml import YAML

yaml_str = """\
3: abc
conf:
    10: def
    3: gij     # h is missing
more:
- what
- else
"""

yaml = YAML()
data = yaml.load(yaml_str)
data['conf'][10] = 'klm'
data['conf'][3] = 'jig'
yaml.dump(data, sys.stdout)

will give you:

3: abc
conf:
  10: klm
  3: jig       # h is missing
more:
- what
- else

data is of type CommentedMap which functions like a dict, but has extra information that is kept around until being dumped (including the preserved comment!)

Answer 5

Note: there is a library, based on the following answer, which implements also the CLoader and CDumpers: Phynix/yamlloader

I doubt very much that this is the best way to do it, but this is the way I came up with, and it does work. Also available as a gist.

import yaml
import yaml.constructor

try:
    # included in standard lib from Python 2.7
    from collections import OrderedDict
except ImportError:
    # try importing the backported drop-in replacement
    # it's available on PyPI
    from ordereddict import OrderedDict

class OrderedDictYAMLLoader(yaml.Loader):
    """
    A YAML loader that loads mappings into ordered dictionaries.
    """

    def __init__(self, *args, **kwargs):
        yaml.Loader.__init__(self, *args, **kwargs)

        self.add_constructor(u'tag:yaml.org,2002:map', type(self).construct_yaml_map)
        self.add_constructor(u'tag:yaml.org,2002:omap', type(self).construct_yaml_map)

    def construct_yaml_map(self, node):
        data = OrderedDict()
        yield data
        value = self.construct_mapping(node)
        data.update(value)

    def construct_mapping(self, node, deep=False):
        if isinstance(node, yaml.MappingNode):
            self.flatten_mapping(node)
        else:
            raise yaml.constructor.ConstructorError(None, None,
                'expected a mapping node, but found %s' % node.id, node.start_mark)

        mapping = OrderedDict()
        for key_node, value_node in node.value:
            key = self.construct_object(key_node, deep=deep)
            try:
                hash(key)
            except TypeError, exc:
                raise yaml.constructor.ConstructorError('while constructing a mapping',
                    node.start_mark, 'found unacceptable key (%s)' % exc, key_node.start_mark)
            value = self.construct_object(value_node, deep=deep)
            mapping[key] = value
        return mapping

Answer 6

Update: the library was deprecated in favor of the yamlloader (which is based on the yamlordereddictloader)

I've just found a Python library (https://pypi.python.org/pypi/yamlordereddictloader/0.1.1) which was created based on answers to this question and is quite simple to use:

import yaml
import yamlordereddictloader

datas = yaml.load(open('myfile.yml'), Loader=yamlordereddictloader.Loader)

Answer 7

On my For PyYaml installation for Python 2.7 I updated __init__.py, constructor.py, and loader.py. Now supports object_pairs_hook option for load commands. Diff of changes I made is below.

__init__.py

$ diff __init__.py Original
64c64
< def load(stream, Loader=Loader, **kwds):
---
> def load(stream, Loader=Loader):
69c69
<     loader = Loader(stream, **kwds)
---
>     loader = Loader(stream)
75c75
< def load_all(stream, Loader=Loader, **kwds):
---
> def load_all(stream, Loader=Loader):
80c80
<     loader = Loader(stream, **kwds)
---
>     loader = Loader(stream)

constructor.py

$ diff constructor.py Original
20,21c20
<     def __init__(self, object_pairs_hook=dict):
<         self.object_pairs_hook = object_pairs_hook
---
>     def __init__(self):
27,29d25
<     def create_object_hook(self):
<         return self.object_pairs_hook()
<
54,55c50,51
<         self.constructed_objects = self.create_object_hook()
<         self.recursive_objects = self.create_object_hook()
---
>         self.constructed_objects = {}
>         self.recursive_objects = {}
129c125
<         mapping = self.create_object_hook()
---
>         mapping = {}
400c396
<         data = self.create_object_hook()
---
>         data = {}
595c591
<             dictitems = self.create_object_hook()
---
>             dictitems = {}
602c598
<             dictitems = value.get('dictitems', self.create_object_hook())
---
>             dictitems = value.get('dictitems', {})

loader.py

$ diff loader.py Original
13c13
<     def __init__(self, stream, **constructKwds):
---
>     def __init__(self, stream):
18c18
<         BaseConstructor.__init__(self, **constructKwds)
---
>         BaseConstructor.__init__(self)
23c23
<     def __init__(self, stream, **constructKwds):
---
>     def __init__(self, stream):
28c28
<         SafeConstructor.__init__(self, **constructKwds)
---
>         SafeConstructor.__init__(self)
33c33
<     def __init__(self, stream, **constructKwds):
---
>     def __init__(self, stream):
38c38
<         Constructor.__init__(self, **constructKwds)
---
>         Constructor.__init__(self)

Answer 8

here's a simple solution that also checks for duplicated top level keys in your map.

import yaml
import re
from collections import OrderedDict

def yaml_load_od(fname):
    "load a yaml file as an OrderedDict"
    # detects any duped keys (fail on this) and preserves order of top level keys
    with open(fname, 'r') as f:
        lines = open(fname, "r").read().splitlines()
        top_keys = []
        duped_keys = []
        for line in lines:
            m = re.search(r'^([A-Za-z0-9_]+) *:', line)
            if m:
                if m.group(1) in top_keys:
                    duped_keys.append(m.group(1))
                else:
                    top_keys.append(m.group(1))
        if duped_keys:
            raise Exception('ERROR: duplicate keys: {}'.format(duped_keys))
    # 2nd pass to set up the OrderedDict
    with open(fname, 'r') as f:
        d_tmp = yaml.load(f)
    return OrderedDict([(key, d_tmp[key]) for key in top_keys])