– OK, what if I need to use a database in my application?
– you can use the included ORM
weppy comes with an integrated ORM based on pyDAL, which gives you the ability to use a database in your application writing simple Python code without worrying about queries and specific syntax of the database engine you want to use.
Thanks to this database layer, you can write the same code and use the same syntax independently of which of the available adapters you want to use during development or when you're deploying your app to the world.
This is the list of the supported database engines, where we included the appropriate driver(s) you need to install, separately from weppy (just use pip):
|Supported DBMS||python driver(s)|
|SQLite||sqlite3, pysqlite2, zxjdbc|
|PostgreSQL||psycopg2, pg8000, zxjdbc|
|FireBird||kinterbasdb, fdb, pyodbc|
This list may change, and depends on the engine support of pyDAL. For any further information, please check out the project page.
So, how do you use weppy's ORM? Let's see it with an example:
from weppy import App from weppy.dal import DAL, Model, Field app = App(__name__) app.config.db.uri = "sqlite://storage.sqlite" class Post(Model): author = Field() title = Field() body = Field('text') db = DAL(app) db.define_models(Post) app.common_handlers = [db.handler] @app.route('/posts/<str:author>') def post_by(author): posts = db(Post.author == author).select() return dict(posts=posts)
The above code is quite simple: the
post_by() function lists posts from a
specific author. Let's retrace what we done in those simple lines:
As you noticed, the fields defined for the table are available for queries as
attributes, and calling db with a query argument provides you a set on
which you can do operations like the
In the next chapters, we will inspect how to define models, all the available options, and how to use weppy's ORM to perform operations on the database.