如何将flask-sqlalchemy 与现有的sqlalchemy 模型一起使用? [英] How to use flask-sqlalchemy with existing sqlalchemy model?

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问题描述

我已经阅读了 flask-sqlalchemy 或 sqlalchemy,其中推荐使用flask-sqlalchemy烧瓶.我想遵循这种方法.

I've read flask-sqlalchemy or sqlalchemy which recommends use of flask-sqlalchemy with flask. I want to follow this approach.

但是,我有一个为命令行脚本编写的现有模型,它基于 sqlalchemy 的 declarative_base,例如,

However, I have an existing model written for command line scripts which is based on sqlalchemy's declarative_base, e.g.,

from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()   # create sqlalchemy Base class
              :
class Runner(Base):
    etc.

我希望仍然能够在此模型中使用命令行脚本,但也希望围绕该模型构建一个 Web 应用程序.

I want to still be able to use the command line scripts with this model, but also want to build a web application around the model.

有没有办法扩展现有模型,以获得使用flask-sqlalchemy 扩展的好处?或者我应该自己动手,并使用 sqlalchemy 的 ScopedSession?

Is there a way to extend the existing model, to gain the benefit of using the flask-sqlalchemy extension? Or should I just roll my own, and use sqlalchemy's ScopedSession?

推荐答案

目前,这不是很受支持,但并非不可能做到.请参阅 Flask-SQLAlchemy 问题列表上的 this issue,其中承认当前的实现扩展使这种情况比他们想象的更令人头疼.希望将来能得到更好的支持(一旦确定了可靠的迁移路径和新的 API).

Currently, this is something that is not well supported, but not impossible to do. See this issue on the Flask-SQLAlchemy issue list, which admits that the current implementation of the extension makes this situation more of a headache than they think it should. Hopefully this will be better supported in the future (once a solid migration path and new API is determined).

该问题给出了以下代码示例:

That issue gives the following code sample:

from flask import Flask
from models import Base, User # Your non-Flask-SQLAlchemy models...
from flask_sqlalchemy import SQLAlchemy

app =  Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
db = SQLAlchemy(app)

@app.before_first_request
def setup():
    # Recreate database each time for demo
    Base.metadata.drop_all(bind=db.engine)
    Base.metadata.create_all(bind=db.engine)
    db.session.add(User('Bob Jones', 'bob@gmail.com'))
    db.session.add(User('Joe Quimby', 'eat@joes.com'))
    db.session.commit()

@app.route('/')
def root():
    users = db.session.query(User).all()
    return u"<br>".join([u"{0}: {1}".format(user.name, user.email) for user in users])

if __name__ == '__main__':
    app.run('127.0.0.1', 5000) 

这里有几点需要注意:

首先,您失去了执行 User.query 的能力(因为 User 是使用自己的声明性基础创建的),以及 Flask-SQLAlchemy 的 db.Model 为您提供(例如自动生成表名和方法的能力,如 first_or_404()).

First, you lose the ability to do User.query (because User was created using its own declarative base), along with all of the other stuff that Flask-SQLAlchemy's db.Model gives you (such as the ability to auto-generate the table names and methods like first_or_404()).

其次,任何时候需要做涉及元数据的事情(比如drop_allcreate_all),您不能使用 Flask-SQLAlchemy 方法.您必须使用绑定到 Flask-SQLAlchemy 引擎的原始元数据.

Second, any time you need to do things that involve the metadata (such as drop_all or create_all), you cannot use the Flask-SQLAlchemy methods. You must use the original metadata, bound to the Flask-SQLAlchemy engine.

我自己没有尝试过,所以我不确定这种方法是否还有其他问题.如果您找到任何门票,您可能想参与其中.

I haven't tried this myself, so I'm not sure if there are any other gotchas to this approach. You might want to participate in that ticket if you find any.

这篇关于如何将flask-sqlalchemy 与现有的sqlalchemy 模型一起使用?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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