Is it possible to update a MongoEngine document using a python dict?
For example:
class Pets(EmbeddedDocument):
name = StringField()
class Person(Document):
name = StringField()
address = StringField()
pets = ListField(EmbeddedDocumentField(Pets))
p = Person()
p.update_with_dict({
"name": "Hank",
"address": "Far away",
"pets": [
{
"name": "Scooter"
}
]
})
Pretty late to the game here, but FWIW, MongoEngine has a build in solution for this.
Regardless if you want to create or update you can do the following:
class Pets(EmbeddedDocument):
name = StringField()
class Person(Document):
name = StringField()
address = StringField()
pets = ListField(EmbeddedDocumentField(Pets))
p = Person(**{
"name": "Hank",
"address": "Far away",
"pets": [{"name": "Scooter"}]
})
p.save()
Only difference for update is you need to stick in an id. That way mongoengine won't duplicate a doc with an existing id and update it instead.
Ok I just made a function for it.
You call it like update_document(document, data_dict). It will loop through the items of data_dict and get the field instance using the key of the data_dict. It will then call field_value(field, value) where field is the field instance. field_value() will check the type of field using field.__class__ and based on that return a value that MongoEngine would expect. For example, the value of a normal StringField can just be returned as is, but for an EmbeddedDocumentField, an instance of that embedded document type needs to be created. It also does this trick for the items in lists fields.
from mongoengine import fields
def update_document(document, data_dict):
def field_value(field, value):
if field.__class__ in (fields.ListField, fields.SortedListField):
return [
field_value(field.field, item)
for item in value
]
if field.__class__ in (
fields.EmbeddedDocumentField,
fields.GenericEmbeddedDocumentField,
fields.ReferenceField,
fields.GenericReferenceField
):
return field.document_type(**value)
else:
return value
[setattr(
document, key,
field_value(document._fields[key], value)
) for key, value in data_dict.items()]
return document
Usage:
class Pets(EmbeddedDocument):
name = StringField()
class Person(Document):
name = StringField()
address = StringField()
pets = ListField(EmbeddedDocumentField(Pets))
person = Person()
data = {
"name": "Hank",
"address": "Far away",
"pets": [
{
"name": "Scooter"
}
]
}
update_document(person, data)
Try something more like this
p.update(**{
"set__name": "Hank",
"set__address": "Far away"
})
I have tried most of the answers above, none of them seem really work with Embedded documents. Even though the they updated the fields they did also deleted content of unfilled fields in Embedded document.
For that I decided to take a path suggested by @hckjck, I have written a simple function that converts dict to a format so it can be processed by document.update:
def convert_dict_to_update(dictionary, roots=None, return_dict=None):
"""
:param dictionary: dictionary with update parameters
:param roots: roots of nested documents - used for recursion
:param return_dict: used for recursion
:return: new dict
"""
if return_dict is None:
return_dict = {}
if roots is None:
roots = []
for key, value in dictionary.iteritems():
if isinstance(value, dict):
roots.append(key)
convert_dict_to_update(value, roots=roots, return_dict=return_dict)
roots.remove(key) # go one level down in the recursion
else:
if roots:
set_key_name = 'set__{roots}__{key}'.format(
roots='__'.join(roots), key=key)
else:
set_key_name = 'set__{key}'.format(key=key)
return_dict[set_key_name] = value
return return_dict
Now this data:
{u'communication': {u'mobile_phone': u'2323232323', 'email':{'primary' : 'email@example.com'}}}
will be converted to:
{'set__communication__mobile_phone': u'2323232323', 'set__communication__email__primary': 'email@example.com'}
Which can be used like this
document.update(**conv_dict_to_update(data))
Also available in this gist: https://gist.github.com/Visgean/e536e466207bf439983a
I don't know how effective this is but it works.
Here is a function to update documents with EmbeddedDocuments. It is based upon @rednaw's solution, though accounts for EmbeddedDocuments having EmbeddedDocuments.
from mongoengine.fields import *
def field_value(field, value):
'''
Converts a supplied value to the type required by the field.
If the field requires a EmbeddedDocument the EmbeddedDocument
is created and updated using the supplied data.
'''
if field.__class__ in (ListField, SortedListField):
# return a list of the field values
return [
field_value(field.field, item)
for item in value]
elif field.__class__ in (
EmbeddedDocumentField,
GenericEmbeddedDocumentField,
ReferenceField,
GenericReferenceField):
embedded_doc = field.document_type()
update_document(embedded_doc, value)
return embedded_doc
else:
return value
def update_document(doc, data):
''' Update an document to match the supplied dictionary.
'''
for key, value in data.iteritems():
if hasattr(doc, key):
value = field_value(doc._fields[key], value)
setattr(doc, key, value)
else:
# handle invalid key
pass
return doc
The key here is the field_value method updating an embedded document rather than instantiating it with the data.
Usage Example :
class Pets(EmbeddedDocument):
name = StringField()
class Person(EmbeddedDocument):
name = StringField()
address = StringField()
pets = ListField(EmbeddedDocumentField(Pets))
class Group(Document):
name = StringField()
members = ListField(EmbeddedDocumentField(Person))
g = Group()
update_document(g, {
'name': 'Coding Buddies',
'members': [
{
'name': 'Dawson',
'address': 'Somewhere in Nova Scotia',
'pets': [
{
'name': 'Sparkles'
}
]
},
{
'name': 'rednaw',
'address': 'Not too sure?',
'pets': [
{
'name': 'Fluffy'
}
]
}
]
})
FYI That's actually my cat's name.
EDIT : typo in variable names.
To store python dict as a sub document one may use mongoengine.fields.DictField.
Checkout manuals.
A dictionary field that wraps a standard Python dictionary. This is similar to an embedded document, but the structure is not defined.
