simplify mongoengine doc, redirect from mongokit

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David Lord 2019-01-06 15:38:14 -08:00
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.. mongoengine-pattern:
MongoDB with MongoEngine
========================
MongoEngine in Flask
====================
Using a document database like MongoDB is a common alternative to
relational SQL databases. This pattern shows how to use
`MongoEngine`_, a document mapper library, to integrate with MongoDB.
Using a document database rather than a full DBMS gets more common these days.
This pattern shows how to use MongoEngine, a document mapper library, to
integrate with MongoDB.
This pattern requires a running MongoDB server, MongoEngine_ and Flask-MongoEngine_
libraries installed::
A running MongoDB server and `Flask-MongoEngine`_ are required. ::
pip install flask-mongoengine
.. _MongoEngine: http://mongoengine.org
.. _Flask-MongoEngine: http://docs.mongoengine.org/projects/flask-mongoengine/en/latest/>`_
.. _Flask-MongoEngine: https://flask-mongoengine.readthedocs.io
Configuration
-------------
Basic setup can be done by defining ``MONGODB_SETTINGS`` on App config and then
creating a ``MongoEngine`` instance::
Basic setup can be done by defining ``MONGODB_SETTINGS`` on
``app.config`` and creating a ``MongoEngine`` instance. ::
from flask import Flask
from flask_mongoengine import MongoEngine
app = Flask(__name__)
app.config['MONGODB_SETTINGS'] = {
'host': "mongodb://localhost:27017/mydb"
"db": "myapp",
}
db = MongoEngine(app)
@ -34,40 +32,38 @@ creating a ``MongoEngine`` instance::
Mapping Documents
-----------------
To declare models that will represent your Mongo documents, just create a class that
inherits from ``Document`` and declare each of the fields::
To declare a model that represents a Mongo document, create a class that
inherits from ``Document`` and declare each of the fields. ::
from mongoengine import *
import mongoengine as me
class Movie(me.Document):
title = me.StringField(required=True)
year = me.IntField()
rated = me.StringField()
director = me.StringField()
actors = me.ListField()
class Movie(Document):
If the document has nested fields, use ``EmbeddedDocument`` to
defined the fields of the embedded document and
``EmbeddedDocumentField`` to declare it on the parent document. ::
title = StringField(required=True)
year = IntField()
rated = StringField()
director = StringField()
actors = ListField()
If the model has embedded documents, use ``EmbeddedDocument`` to defined the fields of
the embedded document and ``EmbeddedDocumentField`` to declare it on the parent document::
class Imdb(EmbeddedDocument):
imdb_id = StringField()
rating = DecimalField()
votes = IntField()
class Movie(Document):
class Imdb(me.EmbeddedDocument):
imdb_id = me.StringField()
rating = me.DecimalField()
votes = me.IntField()
class Movie(me.Document):
...
imdb = EmbeddedDocumentField(Imdb)
imdb = me.EmbeddedDocumentField(Imdb)
Creating Data
-------------
Just create the objects and call ``save()``::
Instantiate your document class with keyword arguments for the fields.
You can also assign values to the field attributes after instantiation.
Then call ``doc.save()``. ::
bttf = Movie(title="Back To The Future", year=1985)
bttf.actors = [
@ -81,73 +77,27 @@ Just create the objects and call ``save()``::
Queries
-------
Use the class ``objects`` attribute to make queries::
Use the class ``objects`` attribute to make queries. A keyword argument
looks for an equal value on the field. ::
bttf = Movies.objects(title="Back To The Future").get() # Throw error if not unique
bttf = Movies.objects(title="Back To The Future").get_or_404()
``objects`` is an iterable. Query operators may be user by concatenating it with the document
key using a double-underscore::
Query operators may be used by concatenating them with the field name
using a double-underscore. ``objects``, and queries returned by
calling it, are iterable. ::
some_theron_movie = Movie.objects(actors__in=["Charlize Theron"]).first()
for recents in Movie.objects(year__gte=2017):
print(recents.title)
Available operators are as follows:
* ``ne`` -- not equal to
* ``lt`` -- less than
* ``lte`` -- less than or equal to
* ``gt`` -- greater than
* ``gte`` -- greater than or equal to
* ``not`` -- negate a standard check, may be used before other operators (e.g.
``Q(age__not__mod=5)``)
* ``in`` -- value is in list (a list of values should be provided)
* ``nin`` -- value is not in list (a list of values should be provided)
* ``mod`` -- ``value % x == y``, where ``x`` and ``y`` are two provided values
* ``all`` -- every item in list of values provided is in array
* ``size`` -- the size of the array is
* ``exists`` -- value for field exists
Documentation
-------------
String queries
::::::::::::::
There are many more ways to define and query documents with MongoEngine.
For more information, check out the `official documentation
<MongoEngine_>`_.
The following operators are available as shortcuts to querying with regular
expressions:
* ``exact`` -- string field exactly matches value
* ``iexact`` -- string field exactly matches value (case insensitive)
* ``contains`` -- string field contains value
* ``icontains`` -- string field contains value (case insensitive)
* ``startswith`` -- string field starts with value
* ``istartswith`` -- string field starts with value (case insensitive)
* ``endswith`` -- string field ends with value
* ``iendswith`` -- string field ends with value (case insensitive)
* ``match`` -- performs an $elemMatch so you can match an entire document within an array
Some Tips
---------
* Attributes can be set as ``unique``
* ``MongoEngine`` creates the ``_id`` attribute automatically to acess ``ObjectIds``
* You can add choices to string fields: ``StringField(choices=['Apple', 'Banana'])``
* If you don't want your class name to be the same name as the collection, you can define
a ``meta`` class member and use the ``collection`` parameter::
class Movie(Document):
meta ={'collection': 'movie_documents'}
Accessing PyMongo MongoClient
-----------------------------
If, for some reason, you want to access PyMongo instance, use ``get_connection`` function::
from mongoengine.connection import get_connection
conn = get_connection()
collection = conn.mydb.movie
collection({'title': u'Days of Thunder'})
For more information about MongoEngine, head over to the
`website <http://docs.mongoengine.org/>`_.
Flask-MongoEngine adds helpful utilities on top of MongoEngine. Check
out their `documentation <Flask-MongoEngine_>`_ as well.

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:orphan:
MongoDB with MongoKit
=====================
MongoKit is no longer maintained. See :doc:`/patterns/mongoengine`
instead.