Current File : //opt/alt/python35/lib64/python3.5/site-packages/peewee-2.8.3-py3.5.egg-info
Metadata-Version: 1.1
Name: peewee
Version: 2.8.3
Summary: a little orm
Home-page: http://github.com/coleifer/peewee/
Author: Charles Leifer
Author-email: coleifer@gmail.com
License: UNKNOWN
Description: .. image:: http://media.charlesleifer.com/blog/photos/p1423749536.32.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
* Written in python with support for versions 2.6+ and 3.2+.
* built-in support for sqlite, mysql and postgresql
* tons of extensions available in the `playhouse <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html>`_
* `Postgresql HStore, JSON, arrays and more <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#postgres-ext>`_
* `SQLite full-text search, user-defined functions, virtual tables and more <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#sqlite-ext>`_
* `Schema migrations <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#migrate>`_ and `model code generator <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#pwiz>`_
* `Connection pool <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#pool>`_
* `Encryption <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#sqlcipher-ext>`_
* `and much, much more... <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html>`_
.. image:: https://api.travis-ci.org/coleifer/peewee.png?branch=master
:target: https://travis-ci.org/coleifer/peewee
New to peewee? Here is a list of documents you might find most helpful when getting
started:
* `Quickstart guide <http://docs.peewee-orm.com/en/latest/peewee/quickstart.html#quickstart>`_ -- this guide covers all the essentials. It will take you between 5 and 10 minutes to go through it.
* `Guide to the various query operators <http://docs.peewee-orm.com/en/latest/peewee/querying.html#query-operators>`_ describes how to construct queries and combine expressions.
* `Field types table <http://docs.peewee-orm.com/en/latest/peewee/models.html#field-types-table>`_ lists the various field types peewee supports and the parameters they accept.
For flask helpers, check out the `flask_utils extension module <http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#flask-utils>`_. You can also use peewee with the popular extension `flask-admin <https://flask-admin.readthedocs.io/en/latest/>`_ to provide a Django-like admin interface for managing peewee models.
Examples
--------
Defining models is similar to Django or SQLAlchemy:
.. code-block:: python
from peewee import *
from playhouse.sqlite_ext import SqliteExtDatabase
import datetime
db = SqliteExtDatabase('my_database.db')
class BaseModel(Model):
class Meta:
database = db
class User(BaseModel):
username = CharField(unique=True)
class Tweet(BaseModel):
user = ForeignKeyField(User, related_name='tweets')
message = TextField()
created_date = DateTimeField(default=datetime.datetime.now)
is_published = BooleanField(default=True)
Connect to the database and create tables:
.. code-block:: python
db.connect()
db.create_tables([User, Tweet])
Create a few rows:
.. code-block:: python
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:
.. code-block:: python
# A simple query selecting a user.
User.get(User.username == 'charles')
# Get tweets created by one of several users. The "<<" operator
# corresponds to the SQL "IN" operator.
usernames = ['charlie', 'huey', 'mickey']
users = User.select().where(User.username << usernames)
tweets = Tweet.select().where(Tweet.user << users)
# We could accomplish the same using a JOIN:
tweets = (Tweet
.select()
.join(User)
.where(User.username << 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
Counter.update(count=Counter.count + 1).where(
Counter.url == request.url)
Check out the `example app <http://docs.peewee-orm.com/en/latest/peewee/example.html>`_ for a working Twitter-clone website written with Flask.
Learning more
-------------
Check the `documentation <http://docs.peewee-orm.com/>`_ for more examples.
Specific question? Come hang out in the #peewee channel on irc.freenode.net, 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 <https://github.com/coleifer/peewee/issues/new>`_ on GitHub.
Still want more info?
---------------------
.. image:: http://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:
* `Building a note-taking app with Flask and Peewee <http://charlesleifer.com/blog/saturday-morning-hack-a-little-note-taking-app-with-flask/>`_ as well as `Part 2 <http://charlesleifer.com/blog/saturday-morning-hacks-revisiting-the-notes-app/>`_ and `Part 3 <http://charlesleifer.com/blog/saturday-morning-hacks-adding-full-text-search-to-the-flask-note-taking-app/>`_.
* `Analytics web service built with Flask and Peewee <http://charlesleifer.com/blog/saturday-morning-hacks-building-an-analytics-app-with-flask/>`_.
* `Personalized news digest (with a boolean query parser!) <http://charlesleifer.com/blog/saturday-morning-hack-personalized-news-digest-with-boolean-query-parser/>`_.
* `Using peewee to explore CSV files <http://charlesleifer.com/blog/using-peewee-to-explore-csv-files/>`_.
* `Structuring Flask apps with Peewee <http://charlesleifer.com/blog/structuring-flask-apps-a-how-to-for-those-coming-from-django/>`_.
* `Creating a lastpass clone with Flask and Peewee <http://charlesleifer.com/blog/creating-a-personal-password-manager/>`_.
* `Building a web-based encrypted file manager with Flask, peewee and S3 <http://charlesleifer.com/blog/web-based-encrypted-file-storage-using-flask-and-aws/>`_.
* `Creating a bookmarking web-service that takes screenshots of your bookmarks <http://charlesleifer.com/blog/building-bookmarking-service-python-and-phantomjs/>`_.
* `Building a pastebin, wiki and a bookmarking service using Flask and Peewee <http://charlesleifer.com/blog/dont-sweat-small-stuff-use-flask-blueprints/>`_.
* `Encrypted databases with Python and SQLCipher <http://charlesleifer.com/blog/encrypted-sqlite-databases-with-python-and-sqlcipher/>`_.
* `Dear Diary: An Encrypted, Command-Line Diary with Peewee <http://charlesleifer.com/blog/dear-diary-an-encrypted-command-line-diary-with-python/>`_.
* `Query Tree Structures in SQLite using Peewee and the Transitive Closure Extension <http://charlesleifer.com/blog/querying-tree-structures-in-sqlite-using-python-and-the-transitive-closure-extension/>`_.
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
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