Merge branch 'master' into fix/add-dev-tools

This commit is contained in:
Filip Kucharczyk
2020-03-27 15:15:14 +01:00
committed by GitHub
31 changed files with 674 additions and 404 deletions

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@@ -352,7 +352,7 @@ Its value can take any of the following constants:
Deletion is denied if there still exist references to the object being
deleted.
:const:`mongoengine.NULLIFY`
Any object's fields still referring to the object being deleted are removed
Any object's fields still referring to the object being deleted are set to None
(using MongoDB's "unset" operation), effectively nullifying the relationship.
:const:`mongoengine.CASCADE`
Any object containing fields that are referring to the object being deleted
@@ -555,7 +555,6 @@ There are a few top level defaults for all indexes that can be set::
'index_background': True,
'index_cls': False,
'auto_create_index': True,
'index_drop_dups': True,
}
@@ -574,11 +573,6 @@ There are a few top level defaults for all indexes that can be set::
in systems where indexes are managed separately. Disabling this will improve
performance.
:attr:`index_drop_dups` (Optional)
Set the default value for if an index should drop duplicates
Since MongoDB 3.0 drop_dups is not supported anymore. Raises a Warning
and has no effect
Compound Indexes and Indexing sub documents
-------------------------------------------
@@ -744,7 +738,7 @@ Document inheritance
To create a specialised type of a :class:`~mongoengine.Document` you have
defined, you may subclass it and add any extra fields or methods you may need.
As this is new class is not a direct subclass of
As this new class is not a direct subclass of
:class:`~mongoengine.Document`, it will not be stored in its own collection; it
will use the same collection as its superclass uses. This allows for more
convenient and efficient retrieval of related documents -- all you need do is
@@ -767,6 +761,27 @@ document.::
Setting :attr:`allow_inheritance` to True should also be used in
:class:`~mongoengine.EmbeddedDocument` class in case you need to subclass it
When it comes to querying using :attr:`.objects()`, querying `Page.objects()` will query
both `Page` and `DatedPage` whereas querying `DatedPage` will only query the `DatedPage` documents.
Behind the scenes, MongoEngine deals with inheritance by adding a :attr:`_cls` attribute that contains
the class name in every documents. When a document is loaded, MongoEngine checks
it's :attr:`_cls` attribute and use that class to construct the instance.::
Page(title='a funky title').save()
DatedPage(title='another title', date=datetime.utcnow()).save()
print(Page.objects().count()) # 2
print(DatedPage.objects().count()) # 1
# print documents in their native form
# we remove 'id' to avoid polluting the output with unnecessary detail
qs = Page.objects.exclude('id').as_pymongo()
print(list(qs))
# [
# {'_cls': u 'Page', 'title': 'a funky title'},
# {'_cls': u 'Page.DatedPage', 'title': u 'another title', 'date': datetime.datetime(2019, 12, 13, 20, 16, 59, 993000)}
# ]
Working with existing data
--------------------------
As MongoEngine no longer defaults to needing :attr:`_cls`, you can quickly and

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@@ -10,8 +10,9 @@ Writing
GridFS support comes in the form of the :class:`~mongoengine.fields.FileField` field
object. This field acts as a file-like object and provides a couple of
different ways of inserting and retrieving data. Arbitrary metadata such as
content type can also be stored alongside the files. In the following example,
a document is created to store details about animals, including a photo::
content type can also be stored alongside the files. The object returned when accessing a
FileField is a proxy to `Pymongo's GridFS <https://api.mongodb.com/python/current/examples/gridfs.html#gridfs-example>`_
In the following example, a document is created to store details about animals, including a photo::
class Animal(Document):
genus = StringField()
@@ -20,8 +21,8 @@ a document is created to store details about animals, including a photo::
marmot = Animal(genus='Marmota', family='Sciuridae')
marmot_photo = open('marmot.jpg', 'rb')
marmot.photo.put(marmot_photo, content_type = 'image/jpeg')
with open('marmot.jpg', 'rb') as fd:
marmot.photo.put(fd, content_type = 'image/jpeg')
marmot.save()
Retrieval
@@ -34,6 +35,20 @@ field. The file can also be retrieved just as easily::
photo = marmot.photo.read()
content_type = marmot.photo.content_type
.. note:: If you need to read() the content of a file multiple times, you'll need to "rewind"
the file-like object using `seek`::
marmot = Animal.objects(genus='Marmota').first()
content1 = marmot.photo.read()
assert content1 != ""
content2 = marmot.photo.read() # will be empty
assert content2 == ""
marmot.photo.seek(0) # rewind the file by setting the current position of the cursor in the file to 0
content3 = marmot.photo.read()
assert content3 == content1
Streaming
---------

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@@ -21,7 +21,7 @@ or with an alias:
conn = get_connection('testdb')
Example of test file:
--------
---------------------
.. code-block:: python
import unittest
@@ -45,4 +45,4 @@ Example of test file:
pers.save()
fresh_pers = Person.objects().first()
self.assertEqual(fresh_pers.name, 'John')
assert fresh_pers.name == 'John'

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@@ -222,6 +222,18 @@ keyword argument::
.. versionadded:: 0.4
Sorting/Ordering results
========================
It is possible to order the results by 1 or more keys using :meth:`~mongoengine.queryset.QuerySet.order_by`.
The order may be specified by prepending each of the keys by "+" or "-". Ascending order is assumed if there's no prefix.::
# Order by ascending date
blogs = BlogPost.objects().order_by('date') # equivalent to .order_by('+date')
# Order by ascending date first, then descending title
blogs = BlogPost.objects().order_by('+date', '-title')
Limiting and skipping results
=============================
Just as with traditional ORMs, you may limit the number of results returned or
@@ -388,7 +400,7 @@ would be generating "tag-clouds"::
MongoDB aggregation API
-----------------------
If you need to run aggregation pipelines, MongoEngine provides an entry point `Pymongo's aggregation framework <https://api.mongodb.com/python/current/examples/aggregation.html#aggregation-framework>`_
If you need to run aggregation pipelines, MongoEngine provides an entry point to `Pymongo's aggregation framework <https://api.mongodb.com/python/current/examples/aggregation.html#aggregation-framework>`_
through :meth:`~mongoengine.queryset.QuerySet.aggregate`. Check out Pymongo's documentation for the syntax and pipeline.
An example of its use would be::
@@ -402,7 +414,7 @@ An example of its use would be::
{"$sort" : {"name" : -1}},
{"$project": {"_id": 0, "name": {"$toUpper": "$name"}}}
]
data = Person.objects().aggregate(*pipeline)
data = Person.objects().aggregate(pipeline)
assert data == [{'name': 'BOB'}, {'name': 'JOHN'}]
Query efficiency and performance
@@ -585,7 +597,8 @@ cannot use the `$` syntax in keyword arguments it has been mapped to `S`::
['database', 'mongodb']
From MongoDB version 2.6, push operator supports $position value which allows
to push values with index.
to push values with index::
>>> post = BlogPost(title="Test", tags=["mongo"])
>>> post.save()
>>> post.update(push__tags__0=["database", "code"])