PofEAA in SQLAlchemy by methanePython ã®ä»£è¡¨çš„㪠O/R Mapper ã§ã‚ã‚‹ SQLAlchemy ã®è¨è¨ˆã«ã¤ã„ã¦ã€ PofEAA ã®ãƒ‘ターンを交ãˆãªãŒã‚‰è§£èª¬ã—ã¾ã™ã€‚
SQLAlcyemy 㧠repr を自動㧠- Memo
メモ。 SQLAlchemy ã§ãƒ¢ãƒ‡ãƒ«ã‚¯ãƒ©ã‚¹ã‚’定義ã—ã¦ã„ã¦ã€__repr__ を毎回定義ã™ã‚‹ã®ãŒãƒ€ãƒ«ã„。 ã‹ã¨ã„ã£ã¦å®šç¾©ã—ãªã„ã¨ã€ãƒ‡ãƒãƒƒã‚°æ™‚(主ã«ãƒ—リントデãƒãƒƒã‚°)ã«ä¸èº«ãŒå‡ºãªã„ã®ã‚‚困る。 # -*- coding: utf-8 -*- from sqlalchemy import Column, Integer, String, ForeignKey from sqlalchemy.orm import relationship from db import Base class User(Base): __tablename__ = 'users' id = Column(Integer, primary_key=True) name = Column(String(50), unique=True) email = Column(String(120), unique=True) d
SQLAlchemy-Enum-Dict
Unverified details These details have not been verified by PyPI Project links Homepage Meta License: BSD License (BSD) Author: Vitalii Ponomar Tags sqlalchemy, enum Classifiers Development Status 4 - Beta Intended Audience Developers License OSI Approved :: BSD License Operating System OS Independent Programming Language Python Easy to Use DeclarativeBase = declarative_base() DeclarativeBase.query
GitHub - dahlia/awesome-sqlalchemy: A curated list of awesome tools for SQLAlchemy
SQLAlchemy-Continuum Versioning and auditing extension for SQLAlchemy. Creates versions for inserts, deletes and updates. Does not store updates which don't change anything. Supports alembic migrations. Can revert objects data as well as all object relations at given transaction even if the object was deleted. Transactions can be queried afterwards using SQLAlchemy query syntax. Query for changed
zzzeek : Patterns Implemented by SQLAlchemy
Mike Bayer is the creator of many open source programming libraries for the Python Programming Language, including SQLAlchemy, Alembic Migrations, Mako Templates for Python, and Dogpile Caching. Dilly and Posy were dedicated members of the team. Dilly and Posy were best of friends, and after a few years in different worlds are together again. We will always love and miss you Dilly and Posy! Catego
Flask 㨠Alembic ã¨ãƒ†ã‚¹ãƒˆ - build error
Flask 㨠SQLAlchemy 㧠Web アプリをã¤ãã‚‹ã¨ã ãã¡ã‚“ã¨ãƒ†ã‚¹ãƒˆã‚’書ããŸã„→Application Factories Pattern を使ㆠDB ã‚‚ãã¡ã‚“ã¨ãƒãƒ¼ã‚¸ãƒ§ãƒ³ç®¡ç†ã—ãŸã„→Alembic を使ㆠã¨ã„ã†å‰æã§ã€ã•ã‚‰ã« Alembic ã® version ファイル㨠SQLAlchemy ã® declarative ãªãƒ¢ãƒ‡ãƒ«ã«åŒã˜ã‚ˆã†ãªãƒ†ãƒ¼ãƒ–ル定義を書ããŸããªã„。ã¤ã¾ã‚Š version ファイル㫠def upgrade(): op.create_table( 'users, sa.Column('id', sa.Integer, primary_key=True), sa.Column('username', sa.String, nullable=False) )
Flask-SQLAlchemy import/context issue
The flask_sqlalchemy module does not have to be initialized with the app right away - you can do this instead: # apps.members.models from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy() class Member(db.Model): # fields here pass And then in your application setup you can call init_app: # apps.application.py from flask import Flask from apps.members.models import db app = Flask(__name__) # lat
主ã‚ーã®å®šç¾©æ™‚ã®æ³¨æ„ - スコトプリゴニエフスク通信
auto_incrementを無効ã«ã™ã‚‹ã‚«ãƒ©ãƒ 定義ã«primary_key=Trueを指定ã™ã‚‹ã¨SQLAlchemyã¯è‡ªå‹•çš„ã«auto_incrementを使用ã™ã‚‹ã®ã§ã€ã“れを無効ã«ã™ã‚‹ã«ã¯ã€ã‚«ãƒ©ãƒ 定義ã«autoincrement=Falseã‚’ã¤ã‘る。 tbl = Table( 'table_name', metadata, Column('id', Integer, primary_key=True, autoincrement=False), # ... mysql_engine='InnoDB' ) 以下ã«è¨˜è¼‰ãŒã‚る。http://www.sqlalchemy.org/docs/05/reference/dialects/mysql.html#keys unsigned intを使ã†æ¬¡ã®ã‚ˆã†ã«ã€sqlalchemyモジュールãŒæä¾›ã™ã‚‹Integerクラスを使ã£ã¦unsigned=Tr
オブジェクトリレーショナルマッパ　ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ« — SQLAlchemy 0.6.5 ドã‚ュメント (和訳)
オブジェクトリレーショナルマッパ　ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«Â¶ ã“ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã§ã¯ã€SQLAlchemy ã§ã‚ªãƒ–ジェクトリレーショナルマッピングを è¡Œã„ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã« Python オブジェクトをä¿å˜ã—ãŸã‚Šã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‹ã‚‰ã‚ªãƒ– ジェクトをå–り出ã—ãŸã‚Šã™ã‚‹æ–¹æ³•ã‚’説明ã—ã¾ã™ã€‚ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ä¸ã®ä¾‹æ–‡ã¯ doctest ã®å½¢å¼ã«æº–æ‹ ã—ã¦ã„ã¦ã€ >>> ã§å§‹ã¾ã‚‹è¡Œã¯ã€ Python ã®ã‚³ãƒžãƒ³ãƒ‰ãƒ—ムンプトã‹ã‚‰ä½•ã‹å‘½ä»¤ã‚’入力ã—ã¦ã„ã‚‹ã“ã¨ã‚’表ã—ã€ãã®å¾Œã«ç¶šãè¡ŒãŒå‡ºåŠ›ã•ã‚Œã‚‹ã¹ã çµæžœã‚’表ã—ã¦ã„ã¾ã™ã€‚
SQLAlchemy + URL Dispatch Wiki Tutorial — The Pyramid Web Application Development Framework v1.3.4
Flask + SQLAlchemy + WSGIã§ã¡ã‚‡ã£ã¨ã¯ã¾ã£ãŸãƒ¡ãƒ¢ - Reinvention of the Wheel
ãˆãŒãŠã¨é–‹ç™ºä¸ã«ã€è‡ªåˆ†ã®ã‚¢ãƒ›ã•ã§ãƒãƒžã£ãŸã®ã§è‡ªæˆ’ã‚’ã“ã‚ã¦ãƒ¡ãƒ¢ # ã„ãã¤ã‹åŒæ§˜ã®ãƒã‚¿ãŒã‚ã‚‹ã®ã§ã‚·ãƒªãƒ¼ã‚ºåŒ–ã™ã‚‹ã‹ã‚‚(´・ω・｀) çµè«–ã‚’å…ˆã«æ›¸ãã¨ã€DB接続セッションã¯ã¡ã‚ƒã‚“ã¨ã‚¯ãƒãƒ¼ã‚ºã—ã‚(#ﾟДﾟ)ｺﾞﾙｧ!! ã£ã¦ã“ã¨ãªã‚“ã§ã™ãŒ æ§‹æˆ Apache + WSGIã®æ§‹æˆã§ã€Virtual Hostsã«ã‚ˆã‚‹è¤‡æ•°ãƒ›ã‚¹ãƒˆã§WSGIã‚’daemon modeã§èµ·å‹• 例ãˆã°a.hoge.comã¨b.hoge.comã®WSGIアプリを別デーモンã¨ã—ã¦èµ·å‹• a.hoge.comã®Flaskアプリ(Aアプリ)ã¨b.hoge.comã®Flaskアプリ(Bアプリ) ã¯åŒã˜DBã‚’å‚ç…§ DBã®åˆ©ç”¨ã¯SQLAlchemy(Flask-SQLAlchemy)を利用 DB定義ã®modelã¯Aアプリã€Bアプリã¨ã¯åˆ¥ãƒ•ã‚¡ã‚¤ãƒ«ã«è¨˜è¿°ã—ãŸã‚‚ã®ã‚’利用 ç¾è±¡ a.hoge.comã§è¿½åŠ ・変更ã—ãŸã¯ãšã®ãƒ‡ãƒ¼ã‚¿ãŒb.hoge.comã«å
Heroku 㧠Flask + SQLAlchemy を使ㆠ- Twisted Mind
Heroku | Cloud Application Platform Django ã¯å‹•ã„ãŸã®ã§ã€ã•ã¦ Flask 㨠SQLAlchemy ã§ã™ã€‚ github https://github.com/voluntas/heroku-template-flask 環境 Mac OS X Lion ã§ã‚„ã£ã¦ã„ã‚‹ã®ã§ã€Linux ã‚„ Windows ã ã¨ã¾ãŸåˆ¥ã ã¨æ€ã„ã¾ã™ã€‚ å¿…é ˆ Git Python 2.7 heroku Flask をデプãƒã‚¤ã™ã‚‹æº–å‚™ 最低é™å¿…è¦ãªã®ã¯ virtualenv ã§ã™ã€‚ easy_install ãªã‚Š pip 㧠virtualenv ãŒä½¿ãˆã‚‹ç’°å¢ƒã¯ä½œã£ã¦ãŠãã¾ã—ょã†ã€‚ ã¨ã‚Šã‚ãˆãšãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆãƒ•ã‚©ãƒ«ãƒ€ã‚’ä½œæˆ $ mkdir heroku-flask-sqlalchemy $ cd heroku-flask-sqlalchemyvirtualenv 環境をフォル
Engine Configuration — SQLAlchemy 2.0 Documentation
Engine Configuration¶ The Engine is the starting point for any SQLAlchemy application. It’s “home base†for the actual database and its DBAPI, delivered to the SQLAlchemy application through a connection pool and a Dialect, which describes how to talk to a specific kind of database/DBAPI combination. The general structure can be illustrated as follows: Where above, an Engine references both a Dial
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[sqlalchemy] Soft Delete Pattern in SQLAlchemy
https://pyvideo.org/video/246/pycon-2010-advanced-sql-alchemy/
Flask | The Pallets Projects
SQLAlchemy, an Architectural Retrospective | PyGotham_2011 on blip.tv
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