How to build a flask application around an already existing database?

I already have an existing Database that has a lot of tables and a lot of data in MySQL. I intend to create a Flask app and use sqlalchemy along with it. Now I asked out on irc and looked around on google and tried the following ideas:

First I used sqlacodegen to generate the models from my DB. But then I was confused about it a little and looked some more. And I found this.

This looked like an elegant solution.

So Second, I rewrote my models.py according to the solution there and now I am even more confused. I am looking for the best approach to build this flask app along with the already existing DB.

I looked into the flask documentation but didnt really get any help for a project with an already existing db. There is a lot of good stuff for creating something from scratch, creating the db and all. But I am really confused.

Please Note that its my first day with Flask, but I have experience with Django, so the basic concepts are not a hurdle. I need some guidance in choosing the best approach for this usecase. A detailed explanation would be greatly appreciated. By detailed I definitely do not expect someone to write all the code and spoon feed me on this, but just enough to get me started, that is integrate this db seamlessly into flask via sqlalchemy. Note my DB is in MySQL.

I'd say your question has nothing to do with flask at all. For example, you don't have a problem with the templates, routes, views or logon decorators.

Where you struggle at is at SQLAlchemy.

So my suggestion is to ignore Flask for a while and get used to SQLAlchemy first. You need to get used to your existing database and how to access it from SQLAlchemy. Use some MySQL documentation tool to find your way around this. The start with something like this (note that it has nothing to do with Flask ask all ... yet):

#!/usr/bin/python
# -*- mode: python -*-

from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base

engine = create_engine('sqlite:///webmgmt.db', convert_unicode=True, echo=False)
Base = declarative_base()
Base.metadata.reflect(engine)


from sqlalchemy.orm import relationship, backref

class Users(Base):
    __table__ = Base.metadata.tables['users']


if __name__ == '__main__':
    from sqlalchemy.orm import scoped_session, sessionmaker, Query
    db_session = scoped_session(sessionmaker(bind=engine))
    for item in db_session.query(Users.id, Users.name):
        print item

In the line "engine =" you need to provide your path to your MySQL database, so that SQLAlchemy finds it. In my case I used a pre-existing sqlite3 database.

In the line "class Users(Base)" you need to use one of existing tables in your MySQL database. I knew that my sqlite3 database had a table named "users".

After this point, SQLalchemy knows how to connect to your MySQL database and it knows about one of the tables. You need now to add all the other tables that you care for. Finally, you need to specify relationships to SQLalchemy. Here I mean things like one-to-one, one-to-many, many-to-many, parent-child and so on. The SQLAlchemy web site contains a rather lenghty section about this.

After the line "if __name__ == '__main__'" just comes some test code. It will be executed if I don't import my python script, but run. Here you see that I create a DB session and is that for a very simply query.

My suggestion is that you first read about the important parts of SQLAlchemy's documentation, for example the descriptive table definition, the relationship model and how to query. Once you know this, you can change the last part of my example into a controller (e.g. using Python's yield method) and write a view that uses that controller.

The key to connecting Holger's answer to a flask context is that db.Model is a declarative_base object like Base. Took me a while to notice this important sentence in flask-sqlalchemy's documentation

Below are the steps I used for my app:

1. initiate a db object in the usual flask-alchemy manner:db = SQLAlchemy(app). Note you'll need to set app.config['SQLALCHEMY_DATABASE_URI'] = 'connection_string' before that.

2. bind the declarative base to an engine: db.Model.metadata.reflect(db.engine)

3. Then you can use existing tables easily (eg. I have a table called BUILDINGS):

   class Buildings(db.Model):
       __table__ = db.Model.metadata.tables['BUILDING']
   
       def __repr__(self):
           return self.DISTRICT
   

Now your Buildings class will follow the existing schema. You can try dir(Buildings) in a Python shell and see all the columns already listed.