MongoDB with MongoEngine
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.
A running MongoDB server and Flask-MongoEngine are required.
pip install flask-mongoengine
Configuration
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'] = { "db": "myapp", } db = MongoEngine(app)
Mapping Documents
To declare a model that represents a Mongo document, create a class that inherits from Document
and declare each of the fields.
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()
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.
class Imdb(me.EmbeddedDocument): imdb_id = me.StringField() rating = me.DecimalField() votes = me.IntField() class Movie(me.Document): ... imdb = me.EmbeddedDocumentField(Imdb)
Creating Data
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 = [ "Michael J. Fox", "Christopher Lloyd" ] bttf.imdb = Imdb(imdb_id="tt0088763", rating=8.5) bttf.save()
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_or_404()
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)
Documentation
There are many more ways to define and query documents with MongoEngine. For more information, check out the official documentation.
Flask-MongoEngine adds helpful utilities on top of MongoEngine. Check out their documentation as well.
© 2007–2020 Pallets
Licensed under the BSD 3-clause License.
https://flask.palletsprojects.com/en/1.0.x/patterns/mongoengine/