peewee 다운로드 - peewee 소스 코드 다운로드

peewee

파이썬

3.17.8

다운로드

피위

Peewee는 간단하고 작은 ORM입니다. 개념이 적지만 표현력이 풍부하여 배우기 쉽고 직관적으로 사용할 수 있습니다.

작고 표현력이 풍부한 ORM
파이썬 2.7+ 및 3.4+
sqlite, mysql, mariadb, postgresql 지원
수많은 확장

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빠른 시작
트위터 앱 예시
Peewee를 대화식으로 사용하기
모델 및 필드
쿼리 중
관계 및 조인

예

모델 정의는 Django 또는 SQLAlchemy와 유사합니다.

 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 )

데이터베이스에 연결하고 테이블을 만듭니다.

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

몇 개의 행을 만듭니다.

 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' )

쿼리는 표현력이 풍부하고 구성 가능합니다.

 # 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 )