ExpressionsΒΆ

Peewee was designed to provide a simple, expressive, and pythonic way of executing queries. This section will provide a quick overview of some common types of expressions.

There are two primary types of objects that can be composed to create expressions:

  • Field instances
  • SQL aggregations and functions using fn

We will assume a simple “User” model with fields for username and other things. It looks like this:

class User(Model):
    username = CharField()
    is_admin = BooleanField()
    is_active = BooleanField()
    last_login = DateTimeField()
    login_count = IntegerField()
    failed_logins = IntegerField()

Comparisons use the Column lookups:

# username is equal to 'charlie'
User.username == 'charlie'

# user has logged in less than 5 times
User.login_count < 5

Comparisons can be combined using bitwise “and” and “or”. Operator precedence is controlled by python and comparisons can be nested to an arbitrary depth:

# user is both and admin and has logged in today
(User.is_admin == True) & (User.last_login >= today)

# user's username is either charlie or charles
(User.username == 'charlie') | (User.username == 'charles')

Comparisons can be used with functions as well:

# user's username starts with a 'g' or a 'G':
fn.Lower(fn.Substr(User.username, 1, 1)) == 'g'

We can do some fairly interesting things, as expressions can be compared against other expressions. Expressions also support arithmetic operations:

# users who entered the incorrect more than half the time and have logged
# in at least 10 times
(User.failed_logins > (User.login_count * .5)) & (User.login_count > 10)

Expressions allow us to do atomic updates:

# when a user logs in we want to increment their login count:
User.update(login_count=User.login_count + 1).where(User.id == user_id)

Expressions can be used in all parts of a query, so experiment!

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