mongoengine | A Python Object-Document-Mapper for working with MongoDB | SQL Database library
kandi X-RAY | mongoengine Summary
kandi X-RAY | mongoengine Summary
A Python Object-Document-Mapper for working with MongoDB
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Top functions reviewed by kandi - BETA
- Update a document
- Insert documents
- Returns a mapping of objects to documents
- Get scalar from docstring
- Save the document
- Recursively update nested types
- Clears all changed fields
- Returns the list of changed fields
- Validates the value
- Create an instance from a JSON string
- Return a dictionary of cursor arguments for this query
- Convert a document to a MongoDB representation
- Gets a single object matching the query
- Update self
- Validate MultiLineString
- Validates that the value is a dictionary
- Returns a filtered list of embedded documents
- Prepare the query value
- Validate MultiPolygon object
- Connect to a database
- Validates that the value is a valid document
- Delete documents from the queryset
- Modify the document
- Get a cursor
- Modify this document
- Count the number of documents in the query
mongoengine Key Features
mongoengine Examples and Code Snippets
Lines of Code : 3
License : No License
Copy$ pip install mongoengine==0.10.7
from mongoengine import *
connect('mongoengine_test', host='localhost', port=27017)
from flask import Flask, url_for, redirect, render_template, request
from flask_mongoengine import MongoEngine
from wtforms import form, fields, validators
import flask_admin as admin
import flask_login as login
from flask_admin.contrib.mongoengine import datetime
from flask import Flask
import flask_admin as admin
from flask_mongoengine import MongoEngine
from flask_admin.form import rules
from flask_admin.contrib.mongoengine import ModelView
# Create application
app = Flask(__name__)
# Cr import calendar
from flask import g
from flask_appbuilder import ModelView
from flask_appbuilder.charts.views import GroupByChartView
from flask_appbuilder.models.group import aggregate_count
from flask_appbuilder.models.mongoengine.interface import from mongoengine import *
connect('test')
class TopicMaths(Document):
quiz_id = StringField()
class User(Document):
username = StringField()
quiz_id = StringField()
current_user = 'Bob'
quizzes = TopicMaths.objects.ordeclass Event(Document):
type = StringField(required=True)
party= ReferenceField(
Party, required=True,
reverse_delete_rule=mongoengine.PULL
)
from mongoengine import Document, ReferenceField
class Snapshot(Document)
property_abc = RelevantPropertyHere() # anything you need
class SnapshotIndicatorKeyValue(Document):
snapshot = ReferenceField(Snapshot)
sdb.collection.aggregate([
{
"$group": {
"_id": {
k: "$organization",
v: "$val"
},
"cnt": {
$sum: 1
}
}
},
{
$project: {
_id: 0,
k: "$_id.k",
o: {
k: "$_id.v",
v: "$cnt"
}
}
},
db.collection.update({
"ml_proc": {
$exists: false
}
},
[
{
$addFields: {
ml_proc: {
sm: {
$sum: [
"$num1",
2
]
},
prod: {
$sum: [
class Accounts(Document):
meta = {'db_alias': 'some_db',
'collection': 'things'}
Community Discussions
Trending Discussions on mongoengine
QUESTION
Say I have a model like this one:
...ANSWER
Answered 2022-Apr-01 at 16:29With mongoengine, the ReferenceField's reverse_delete_rule property can address situations where a document deletion leads to consistency issues.
The reverse_delete_rule's mongoengine.NULLIFY attribute turns the fields referring to the deleted object to None.
This requires to drop the null=False declaration.
Your Event class would be amended like this:
QUESTION
I wondered if it is possible to query documents in MongoDB by computed properties using mongoengine in python.
Currently, my model looks like this:
...ANSWER
Answered 2022-Apr-01 at 16:04In order to query the snapshot property directly through mongoengine, you can reference the related snapshot object rather than the snapshot_id in your SnapshotIndicatorKeyValue document definition.
An amended model using a Reference field would be like this:
QUESTION
I am using mongoengine as ORM with flask application. The model class is define like
...ANSWER
Answered 2022-Mar-29 at 09:29Maybe something like this:
QUESTION
I am working with a mongo database model building using mongoengine. I want to modify DictField by the result created in another function
ANSWER
Answered 2022-Mar-26 at 19:19Maybe you need something like this:
QUESTION
I have a collection of object stored in mongo which I retrieve with python mongoengine. I wish to return a lit of these object in json format to an http request but it seems IMPOSSIBLE to do. This is the piece of code where I want to return the dictionaries
ANSWER
Answered 2022-Mar-24 at 14:35Ok I found these two ways. Python objects made form a class inheriting from mongo Document, can be converted:
- to json type and then be used accordingly
- to
SONtype and then to dict
QUESTION
I have FastAPI Python application with routes that operate on a MongoDB instance. The connection works fine, and I can query documents for my GET endpoints, but creating a new document from within FastAPI seems impossible.
I consistently get:
You have not defined a default connection
I have a standalone script that handles some data migration tasks and it uses the exact same DB class and Document models that the FastAPI app does, and that script is able to save documents to mongo perfectly fine. There is no difference in how the DB object is instantiated between the API and the script.
The DB class:
...ANSWER
Answered 2022-Mar-10 at 02:01The mongoengine Document models had malformatted meta attributes...
QUESTION
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58 breaks support for use_2to3:
So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.
I was having the same problem, pip==19.3.1
QUESTION
How can I override a mongoengine's queryset method?
Specifically, I want to override .order_by(), but the closest I can get is to add another method ordered that would conditionally call .order_by():
ANSWER
Answered 2022-Mar-03 at 10:14To avoid recursion, you should call order_by method of the parent class. TransactionQuerySet should look like the following.
QUESTION
I am using flask-mongoengine and think I am running in some kind of race conditions while trying to overwrite the Document.save method.
My models (simplified) look like this:
...ANSWER
Answered 2022-Feb-15 at 23:22So I find an answer myself (somewhat).
- SequenceFields are only populated during a save(). When overwritting the save method we first have to make a super.save to get the SequenceField value or we have to assume its value by the helper collection that is created by mongoengine. I took the easy route and just added an
super(Asset, self).save()and the c_id is set corectly for the changes afterwards. - ReferenceFields are avalaible as DBRef until you first access it from the Document object. Just add some kind of check beforehand to ensure its value is correctly resolved like:
QUESTION
I want to use MongoDB for storing API logs. For this matter, I want to use the approach mentioned here, using weekly or monthly collections for storing logs and dropping them on expiration, therefore I need to be able to set collection names dynamically based on date. Is there any way to do this using mongoengine?
I've tried the meta option on the collection but it does not work since it's only used once when the collection definition is being interpreted and it's not meant to use for my intended behavior.
Also, I'm open to any alternative approach.
...ANSWER
Answered 2022-Feb-09 at 07:49I've found that MongoDB has no job scheduling built-in and that mongoengine has no mechanism for changing the name of the collection corresponding to a document class.
Eventually, I found that it's better to use the os job scheduler like cron to handle this kind of task.
links for help:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install mongoengine
You can use mongoengine like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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