mongoengine

I have Flask app with a Post model which spans across multiple MongoDB databases (db1, db2, db3,...), so I need to be able to query different dbs. I'm using Flask-MongoEngine extension. My __init__.py contains the following line: db = MongoEngine(app) and in config.py I have: MONGODB_SETTINGS = {'DB': 'db1'} I tried the following without success: Alter the connection parameter in the db object like this: db.connection = mongoengine.connect('db2') It didn't change anything. Executing post = Post.objects.all() still ran on the original db ( db1 ). Create alias in the Post class meta like this:

I have a collection with below data structure: [{name: "123", category: "A"}, {name: "456", category: "B"}, {name: "789", category: "A"}, {name: "101", category: "C"}] I want to be able to sort them according to the value of category , by specifying which comes first. For example, sorting the query in the order of B->C->A, the result would yield: [{name: "456", category: "B"}, {name: "101", category: "C"}, {name: "123", category: "A"}, {name: "789", category: "A"}] Is there any good way of doing so with the mongo query API? I am using mongoengine The best way to do this is using the .aggregate

I am trying to use Django and the Django REST Framework together with MongoEngine but it doesn't seem to work for me. I don't know where things go wrong ... perhaps someone can help me out. Here is the code: models.py from mongoengine import * class Lady(Document): firstname = StringField() lastname = StringField() serializers.py from rest_framework import serializers from mongoengine import * class LadySerializer(serializers.Serializer): firstname = serializers.CharField(max_length=50) lastname = serializers.CharField(max_length=50) def restore_object(self,attrs,instance=None): if instance:

Best practice question about setting Mongo indexes. Mongoengine, the Python ORM wrapper, allows you to set indexes in the Document meta class. When is this meta class introspected and the index added? Can I build a collection via a mongoengine Document class and then add an index after the fact? If I remove the index from the meta class, is the index automatically removed from the corresponding collection? Thanks, You can add an index at any time and ensureIndex will be called behind the scenes so it will be added if it doesn't exist. If you remove an index from the meta - you will have to use

I know I can do a glob-type search on mongodb: db.person.find({ name: /*.bob.*/ }) or db.person.find({ name: { $regex: '*.bob.*' }}) How do I do this with mongoengine without using a raw query (which is apparently the only way based on my searches)? I've blindly tried several variations like: Person.objects(name='/.*bob.*/') Person.objects(name='/\.*bob\.*/') Person.objects(name='.*bob.*') Person.objects(name='\\.*bob\\.*') etc, to no avail... It looks like you can do it this way: import re regex = re.compile('.*bob.*') Person.objects(name=regex) 来源： https://stackoverflow.com/questions

I need to query Mongo database for elements that have a certain property beginning with any prefix in the list. Now I have a piece of code like this: query = mymodel(terms__term__in=query_terms) and this matches objects that have an item on a list "terms" that has StringField "term" explicitly occurring on a list "query_terms". What I want to achieve is having objects that have an item on a list "terms" that has StringField "term" beginning with any prefix that occurs on a list "query_terms". Is it possible to do it in one query and without storing every possible prefix of "term" in database?