Question

I’m trying out flask-sqlalchemy in a simple test app.
I’m running a SQL server, and I can connect to from Flask Using SQLalchemy like so:

from flask import render_template
from app import app, db

@app.route('/')
@app.route('/index')
def index():

    people = list(db.session.execute("select top 10 * from people where ppl_username IS NOT NULL"))

However, I would also like to use the SQL psuedo language and ORM part of SQLalchemy to query. Because this is an existing database I don’t want to write my own classes and generate a database, I would like to reflect the existing database and access it that way.
I have found the reflect method in the API docs, but I can’t figure out how (and where) to use that.

Besides wondering how to do this; I’m also wondering:

• Would the database reflection happen on every request or only at the start of the application? (This is a big database, so on every request would be a show-stopper)
• is it possible to generate the code for the classes from the database and save them for later use, something like Django’s inspectDB() does?

Thanks,

Answer 1

Yes it is all possible. I use sqlautocode to do exactly what you are talking about. It generates sqlalchemy code to create the tables/column in sqlalchemy and places them in a file. Simply install it and then from the command line run it.

This generates the models sqlalchemy models from an existing mysql db for my webapp and creates a file alchemy_models.py:

sqlautocode mysql://<dbuser>:<pass>@localhost:3306/<dbname> -o alchemy_models.py

Note the mysql:// bit is merely the syntaxt to generate a connection in SA

Hope this helps