Une version modifiée de SQL Alchemy, le mappeur O / R standard pour Pyramid et Flask.
J'ai essayé de le remodeler pour qu'il puisse être décrit simplement. En termes de vitesse, la connexion à la base de données est connectée en pool à l'aide de ThreadLocalStorage, elle fonctionne donc à environ 8 fois la vitesse d'inutilisation. Dans l'environnement local, la vitesse d'une requête de sélection a été augmentée de 8 ms à 1 ms.
Exemple d'utilisation après la modification magique de SQLAlchemy
# -*- coding: utf-8 -*-
from module.book import Book
# select
book1 = Book.get(1)
books = Book.objects().filter(Book.price==2160).all()
# insert
book_rye = Book(pk=None,
title="The catcher in the rye",
price=1000,
publish="J. D. Salinger",
published="")
book_rye = Book.insert(book_rye)
print(book_rye.id)
# update
book_rye.price = 1200
book_rye.save()
# delete
book_rye.delete()
book.py
# -*- coding: utf-8 -*-
from sqlalchemy import Column, String, Integer
from sqlalchemy.ext.declarative import declarative_base
from module.db.base import DBBaseMixin
Base = declarative_base()
class Book(DBBaseMixin, Base):
title = Column('title', String(200))
price = Column('price', Integer)
publish = Column('publish', String(200))
published = Column('published', String(200))
def __init__(self, pk, title, price, publish, published):
self.pk = pk
self.title = title
self.price = price
self.publish = publish
self.published = published
base_mixin.py
# -*- coding: utf-8 -*-
from sqlalchemy import Column, Integer
from sqlalchemy.ext.declarative import declarative_base, declared_attr
import re
from utils.db import get_db_session
Base = declarative_base()
def camel_to_snake(s):
"""
>>> convert('CamelCase')
'camel_case'
>>> convert('CamelCamelCase')
'camel_camel_case'
>>> convert('Camel2Camel2Case')
'camel2_camel2_case'
>>> convert('getHTTPResponseCode')
'get_http_response_code'
>>> convert('get2HTTPResponseCode')
'get2_http_response_code'
>>> convert('HTTPResponseCode')
'http_response_code'
>>> convert('HTTPResponseCodeXYZ')
'http_response_code_xyz'
:param s: str
:return: str
"""
s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', s)
return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
class DBBaseMixin(object):
id = Column('id', Integer, primary_key=True)
def __repr__(self):
return '<{0}.{1} object at {2}>'.format(
self.__module__, type(self).__name__, hex(id(self)))
@declared_attr
def __tablename__(cls):
return camel_to_snake(cls.__name__)
@classmethod
def objects(cls):
"""
:rtype : sqlalchemy.orm.query.Query
"""
return get_db_session().query(cls)
@classmethod
def session(cls):
return get_db_session()
@classmethod
def get(cls, pk):
"""
:param pk: int
:rtype: cls
"""
return cls.objects().get(pk)
@classmethod
def insert(cls, obj):
"""
:param obj: cls
:rtype: cls
"""
cls.session().add(obj)
cls.session().commit()
return obj
@classmethod
def bulk_insert(cls, objs):
"""
:param objs: list[cls]
:rtype: list[cls]
"""
cls.session().add_all(objs)
cls.session().commit()
return objs
def delete(self):
session = self.__class__.session()
session.query(self.__class__).filter(self.__class__.id==self.id).delete()
session.commit()
def save(self):
"""
:return:self
"""
session = self.__class__.session()
session.add(self)
session.commit()
return self
db.py
# -*- coding: utf-8 -*-
import threading
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
tls = threading.local()
def get_db_session():
"""
Générer et réutiliser des sessions SQL Alchemy DB
:rtype : scoped_session
"""
if hasattr(tls, "db_session"):
return tls.db_session
#Génération de session DB
engine = get_db_engine()
db_session = scoped_session(sessionmaker(autocommit=False,
autoflush=False,
bind=engine))
tls.db_session = db_session
return db_session
def get_db_engine():
db_user = 'root'
db_host = '127.0.0.1'
db_name = 'Flask'
db_path = 'mysql://{}@{}/{}'.format(db_user, db_host, db_name)
engine = create_engine(db_path, encoding='utf-8', pool_size=5)
return engine
Il ne prend pas en charge la mise à jour par le traitement des transactions DB. Je pense que cela peut être géré si vous pouvez générer une session avec la clause with et enregistrer (transaction_session = session). Bien sûr, la validation est exécutée avec __exit__
dans la clause with.
Pseudo code pour les transactions DB
#Prix d'échange
with commit_on_success as session:
# select for update
book1 = Book.get(1, transaction_session=session, for_update=True)
book2 = Book.get(2, transaction_session=session, for_update=True)
# exchange price
_tmp_price = book1.price
book1.price = book2.price
book2.price = _tmp_price
# update
book1.save(transaction_session=session)
book2.save(transaction_session=session)
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