📅  最后修改于: 2023-12-03 15:32:56.236000             🧑  作者: Mango
Mongoalchemy Flask is a Flask extension for working with MongoDB using the Mongoalchemy library. This makes it easy for Flask developers to work with MongoDB databases in their applications.
The Shell-Bash part of the title refers to the fact that the Mongoalchemy Flask extension includes a shell command that lets you interact with your MongoDB database from your command line.
To install the Mongoalchemy Flask extension, you can run the following command in your terminal:
pip install mongoalchemy-flask
Once you have the extension installed, you can use it in your Flask application by creating an instance of the MongoAlchemy
class:
from flask import Flask
from flask_mongoalchemy import MongoAlchemy
app = Flask(__name__)
app.config['MONGOALCHEMY_DATABASE'] = 'test'
db = MongoAlchemy(app)
class User(db.Document):
name = db.StringField()
user = User(name='John')
user.save()
This will create a Flask application with a test
MongoDB database and a User
collection. You can then create new users by creating instances of the User
class and saving them to the database.
One of the benefits of the Mongoalchemy Flask extension is the shell command it provides. To use the shell, simply run the following command in your terminal:
flask mongo
This will open up a MongoDB shell where you can run commands to interact with your database. For example, you can find all the users in the User
collection by running the following command:
db.User.find()
You can also update documents in your database using the shell. For example, you can add a field to all documents in the User
collection by running the following command:
db.User.updateMany({}, {$set: {age: 30}})
This will add an age
field with a value of 30
to all documents in the User
collection.
The Mongoalchemy Flask extension is a powerful tool for Flask developers who need to work with MongoDB databases. With its easy-to-use API and built-in shell command, it's a great choice for building Flask applications that need to store data in MongoDB.