We’ll be building a simple “twitter”-like site. The source code for the example can be found in the examples/twitter directory. You can also browse the source-code on github.
The example app uses the flask web framework which is very easy to get started with. If you don’t have flask already, you will need to install it to run the example:
pip install flask
After ensuring that flask is installed, cd into the twitter example directory and execute the run_example.py script:
python run_example.py
The example app will be accessible at http://localhost:5000/
For simplicity all example code is contained within a single module, examples/twitter/app.py.
In the spirit of the ur-python web framework, django, peewee uses declarative model definitions. If you’re not familiar with django, the idea is that you declare a class with some members which map directly to the database schema. For the twitter clone, there are just three models:
If you like UML, this is basically what it looks like:
Here is what the “bare-bones” model definitions look like:
# create a peewee database instance -- our models will use this database to
# persist information
database = SqliteDatabase(DATABASE)
# model definitions -- the standard "pattern" is to define a base model class
# that specifies which database to use. then, any subclasses will automatically
# use the correct storage.
class BaseModel(Model):
class Meta:
database = database
# the user model specifies its fields (or columns) declaratively, like django
class User(BaseModel):
username = CharField()
password = CharField()
email = CharField()
join_date = DateTimeField()
class Meta:
order_by = ('username',)
# this model contains two foreign keys to user -- it essentially allows us to
# model a "many-to-many" relationship between users. by querying and joining
# on different columns we can expose who a user is "related to" and who is
# "related to" a given user
class Relationship(BaseModel):
from_user = ForeignKeyField(User, related_name='relationships')
to_user = ForeignKeyField(User, related_name='related_to')
# a dead simple one-to-many relationship: one user has 0..n messages, exposed by
# the foreign key. because we didn't specify, a users messages will be accessible
# as a special attribute, User.message_set
class Message(BaseModel):
user = ForeignKeyField(User)
content = TextField()
pub_date = DateTimeField()
class Meta:
order_by = ('-pub_date',)
Note
Note that we create a “BaseModel” class that simply defines what database we would like to use. All other models then extend this class and will also use the correct database connection.
peewee supports a number of field types which map to different column types commonly supported by database engines. Conversion between python types and those used in the database is handled transparently, including things like:
In order to start using the models, its necessary to create the tables. This is a one-time operation and can be done quickly using the interactive interpreter. I created a small function in the app module to create the tables. It looks like this:
def create_tables():
User.create_table()
Relationship.create_table()
Message.create_table()
Open a python shell in the directory alongside the example app and execute the following:
>>> from app import *
>>> create_tables()
Note
If you encounter an ImportError it means that either “flask” or “peewee” was not found on your pythonpath and may not be installed correctly. Check the Installing peewee docs on how to install peewee.
Every model has a create_table() classmethod which runs a CREATE TABLE statement in the database. It will create the table, including all columns, foreign-key constaints, and indexes. Usually this is something you’ll only do once, whenever a new model is added.
Note
Adding fields after the table has been created will required you to either drop the table and re-create it or manually add the columns using ALTER TABLE.
Note
If you want, you can use instead write User.create_table(True) and it will fail silently if the table already exists.
You may have noticed in the above model code that there is a class defined on the base model named Meta that sets the database attribute. peewee allows every model to specify which database it uses.
This is a peewee idiom:
# config
DATABASE = 'tweepee.db'
# create a database instance that will manage the connection and execute queries
database = SqliteDatabase(DATABASE) # tell our models to use "tweepee.db"
Because sqlite likes to have a separate connection per-thread, we will tell flask that during the request/response cycle we need to create a connection to the database. Flask provides some handy decorators to make this a snap:
@app.before_request
def before_request():
g.db = database
g.db.connect()
@app.after_request
def after_request(response):
g.db.close()
return response
Note
We’re storing the db on the magical variable g - that’s a flask-ism and can be ignored as an implementation detail. The meat of this code is in the idea that we connect to our db every request and close that connection every response. Django does the exact same thing.
In the User model there are a few instance methods that encapsulate some user-specific functionality, i.e.
These methods are rather similar in their implementation but with one key difference:
def following(self):
# query other users through the "relationship" table
return User.select().join(
Relationship, on=Relationship.to_user,
).where(Relationship.from_user == self)
def followers(self):
return User.select().join(
Relationship, on=Relationship.from_user,
).where(Relationship.to_user == self)
The queries end up looking like:
# following:
SELECT t1."id", t1."username", t1."password", t1."email", t1."join_date"
FROM "user" AS t1
INNER JOIN "relationship" AS t2
ON t1."id" = t2."to_user_id" # <-- joining on to_user_id
WHERE t2."from_user_id" = ?
ORDER BY t1."username" ASC
# followers
SELECT t1."id", t1."username", t1."password", t1."email", t1."join_date"
FROM user AS t1
INNER JOIN relationship AS t2
ON t1."id" = t2."from_user_id" # <-- joining on from_user_id
WHERE t2."to_user_id" = ?
ORDER BY t1."username" ASC
So what happens when a new user wants to join the site? Looking at the business end of the join() view, we can that it does a quick check to see if the username is taken, and if not executes a create().
try:
# use the .get() method to quickly see if a user with that name exists
user = User.get(User.username == request.form['username'])
flash('That username is already taken')
except User.DoesNotExist:
# if not, create the user and store the form data on the new model
user = User.create(
username=request.form['username'],
password=md5(request.form['password']).hexdigest(),
email=request.form['email'],
join_date=datetime.datetime.now()
)
# mark the user as being 'authenticated' by setting the session vars
auth_user(user)
return redirect(url_for('homepage'))
Much like the create() method, all models come with a built-in method called get_or_create() which is used when one user follows another:
Relationship.get_or_create(
from_user=session['user'], # <-- the logged-in user
to_user=user, # <-- the user they want to follow
)
If you are logged-in and visit the twitter homepage, you will see tweets from the users that you follow. In order to implement this, it is necessary to do a subquery:
# python code
messages = Message.select().where(
Message.user << user.following()
)
Results in the following SQL query:
SELECT t1."id", t1."user_id", t1."content", t1."pub_date"
FROM "message" AS t1
WHERE t1."user_id" IN (
SELECT t2."id"
FROM "user" AS t2
INNER JOIN "relationship" AS t3
ON t2."id" = t3."to_user_id"
WHERE t3."from_user_id" = ?
ORDER BY t1."username" ASC
)
peewee supports doing subqueries on any ForeignKeyField or PrimaryKeyField.
There are a couple other neat things going on in the example app that are worth mentioning briefly.
Support for paginating lists of results is implemented in a simple function called object_list (after it’s corollary in Django). This function is used by all the views that return lists of objects.
def object_list(template_name, qr, var_name='object_list', **kwargs):
kwargs.update(
page=int(request.args.get('page', 1)),
pages=qr.count() / 20 + 1
)
kwargs[var_name] = qr.paginate(kwargs['page'])
return render_template(template_name, **kwargs)
Simple authentication system with a login_required decorator. The first function simply adds user data into the current session when a user successfully logs in. The decorator login_required can be used to wrap view functions, checking for whether the session is authenticated and if not redirecting to the login page.
def auth_user(user):
session['logged_in'] = True
session['user'] = user
session['username'] = user.username
flash('You are logged in as %s' % (user.username))
def login_required(f):
@wraps(f)
def inner(*args, **kwargs):
if not session.get('logged_in'):
return redirect(url_for('login'))
return f(*args, **kwargs)
return inner
Return a 404 response instead of throwing exceptions when an object is not found in the database.
def get_object_or_404(model, **kwargs):
try:
return model.get(**kwargs)
except model.DoesNotExist:
abort(404)
Note
Like these snippets and interested in more? Check out flask-peewee - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee models.