Skip to main content

a little orm

Project description

https://media.charlesleifer.com/blog/photos/peewee3-logo.png

peewee

Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use.

  • a small, expressive ORM

  • python 2.7+ and 3.4+

  • supports sqlite, mysql, mariadb, postgresql

  • tons of extensions

New to peewee? These may help:

Examples

Defining models is similar to Django or SQLAlchemy:

from peewee import *
import datetime


db = SqliteDatabase('my_database.db')

class BaseModel(Model):
    class Meta:
        database = db

class User(BaseModel):
    username = CharField(unique=True)

class Tweet(BaseModel):
    user = ForeignKeyField(User, backref='tweets')
    message = TextField()
    created_date = DateTimeField(default=datetime.datetime.now)
    is_published = BooleanField(default=True)

Connect to the database and create tables:

db.connect()
db.create_tables([User, Tweet])

Create a few rows:

charlie = User.create(username='charlie')
huey = User(username='huey')
huey.save()

# No need to set `is_published` or `created_date` since they
# will just use the default values we specified.
Tweet.create(user=charlie, message='My first tweet')

Queries are expressive and composable:

# A simple query selecting a user.
User.get(User.username == 'charlie')

# Get tweets created by one of several users.
usernames = ['charlie', 'huey', 'mickey']
users = User.select().where(User.username.in_(usernames))
tweets = Tweet.select().where(Tweet.user.in_(users))

# We could accomplish the same using a JOIN:
tweets = (Tweet
          .select()
          .join(User)
          .where(User.username.in_(usernames)))

# How many tweets were published today?
tweets_today = (Tweet
                .select()
                .where(
                    (Tweet.created_date >= datetime.date.today()) &
                    (Tweet.is_published == True))
                .count())

# Paginate the user table and show me page 3 (users 41-60).
User.select().order_by(User.username).paginate(3, 20)

# Order users by the number of tweets they've created:
tweet_ct = fn.Count(Tweet.id)
users = (User
         .select(User, tweet_ct.alias('ct'))
         .join(Tweet, JOIN.LEFT_OUTER)
         .group_by(User)
         .order_by(tweet_ct.desc()))

# Do an atomic update (for illustrative purposes only, imagine a simple
# table for tracking a "count" associated with each URL). We don't want to
# naively get the save in two separate steps since this is prone to race
# conditions.
Counter.update(count=Counter.count + 1).where(Counter.url == request.url)

Check out the example twitter app.

Learning more

Check the documentation for more examples.

Specific question? Come hang out in the #peewee channel on irc.libera.chat, or post to the mailing list, http://groups.google.com/group/peewee-orm . If you would like to report a bug, create a new issue on GitHub.

Still want more info?

https://media.charlesleifer.com/blog/photos/wat.jpg

I’ve written a number of blog posts about building applications and web-services with peewee (and usually Flask). If you’d like to see some real-life applications that use peewee, the following resources may be useful:

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

peewee-3.18.2.tar.gz (949.2 kB view details)

Uploaded Source

File details

Details for the file peewee-3.18.2.tar.gz.

File metadata

  • Download URL: peewee-3.18.2.tar.gz
  • Upload date:
  • Size: 949.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.7

File hashes

Hashes for peewee-3.18.2.tar.gz
Algorithm Hash digest
SHA256 77a54263eb61aff2ea72f63d2eeb91b140c25c1884148e28e4c0f7c4f64996a0
MD5 acad099910f5a0da47b673c705bfd901
BLAKE2b-256 048976f6f1b744c8608e0d416b588b9d63c2a500ff800065ae610f7c80f532d6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page