=================
 zope.sqlalchemy
=================

The aim of this package is to unify the plethora of existing packages
integrating SQLAlchemy with Zope's transaction management. As such it seeks
only to provide a data manager and makes no attempt to define a `zopeish` way
to configure engines.

You need to understand SQLAlchemy for this package and this README to make 
any sense. See http://sqlalchemy.org/docs/.


Running the tests
-----------------

This package is distributed as a buildout. Using your desired python run:

$ python bootstrap.py

This will download the dependent packages and setup the test script, which may
be run with:

$ ./bin/test

To enable testing with your own database set the TEST_DSN environment variable
to your sqlalchemy database dsn. Two-phase commit behaviour may be tested by
setting the TEST_TWOPHASE variable to a non empty string. e.g:

$ TEST_DSN=postgres://test:test@localhost/test TEST_TWOPHASE=True bin/test

Example
-------

This example is lifted directly from the SQLAlchemy declarative documentation.
First the necessary imports.

    >>> from sqlalchemy import *
    >>> from sqlalchemy.ext.declarative import declarative_base
    >>> from sqlalchemy.orm import scoped_session, sessionmaker, relation
    >>> from zope.sqlalchemy import ZopeTransactionExtension, invalidate
    >>> import transaction

Now to define the mapper classes.

    >>> Base = declarative_base()
    >>> class User(Base):
    ...     __tablename__ = 'test_users'
    ...     id = Column('id', Integer, primary_key=True)
    ...     name = Column('name', String(50))
    ...     addresses = relation("Address", backref="user")
    >>> class Address(Base):
    ...     __tablename__ = 'test_addresses'
    ...     id = Column('id', Integer, primary_key=True)
    ...     email = Column('email', String(50))
    ...     user_id = Column('user_id', Integer, ForeignKey('test_users.id'))

Create an engine and setup the tables. Note that for this example to work a 
recent version of sqlite/pysqlite is required. 3.4.0 seems to be sufficient.

    >>> engine = create_engine(TEST_DSN, convert_unicode=True)
    >>> Base.metadata.create_all(engine)

Now to create the session itself. As zope is a threaded web server we must use
scoped sessions. Zope and SQLAlchemy sessions are tied together by using the
ZopeTransactionExtension from this package.

    >>> Session = scoped_session(sessionmaker(bind=engine, twophase=TEST_TWOPHASE,
    ... transactional=True, autoflush=True, extension=ZopeTransactionExtension()))

Call the scoped session factory to retrieve a session. You may call this as
many times as you like within a transaction and you will always retrieve the
same session. At present there are no users in the database.

    >>> session = Session()
    >>> session.query(User).all()
    []

We can now create a new user and commit the changes using Zope's transaction
machinary, just as Zope's publisher would.

    >>> session.save(User(name='bob'))
    >>> transaction.commit()

Engine level connections are outside the scope of the transaction integration.

    >>> engine.connect().execute('SELECT * FROM test_users').fetchall()
    [(1, ...'bob')]

A new transaction requires a new session. Let's add an address.

    >>> session = Session()
    >>> bob = session.query(User).all()[0]
    >>> bob.name
    u'bob'
    >>> bob.addresses
    []
    >>> bob.addresses.append(Address(email='bob@bob.bob'))
    >>> transaction.commit()
    >>> session = Session()
    >>> bob = session.query(User).all()[0]
    >>> bob.addresses
    [<Address object at ...>]
    >>> bob.addresses[0].email
    u'bob@bob.bob'
    >>> bob.addresses[0].email = 'wrong@wrong'    

To rollback a transaction, use transaction.abort().

    >>> transaction.abort()
    >>> session = Session()
    >>> bob = session.query(User).all()[0]
    >>> bob.addresses[0].email
    u'bob@bob.bob'
    >>> transaction.abort()

By default, zope.sqlalchemy puts sessions in an 'active' state when they are
first used. ORM write operations automatically move the session into an
'invalidated' state. This avoids unnecessary database commits. Sometimes it
is necessary to interact with the database directly through SQL. It is not
possible to guess whether such an operation is a read or a write. Therefore we
must manually mark the session as invalidated when manual SQL statements write
to the DB.

    >>> session = Session()
    >>> conn = session.connection()
    >>> users = Base.metadata.tables['test_users']
    >>> conn.execute(users.update(users.c.name=='bob'), name='ben')
    <sqlalchemy.engine.base.ResultProxy object at ...>
    >>> from zope.sqlalchemy import invalidate
    >>> invalidate(session)
    >>> transaction.commit()
    >>> session = Session()
    >>> session.query(User).all()[0].name
    u'ben'
    >>> transaction.abort()

If this is a problem you may tell the extension to place the session in the
'invalidated' state initially.

    >>> Session.configure(extension=ZopeTransactionExtension('invalidated'))
    >>> Session.remove()
    >>> session = Session()
    >>> conn = session.connection()
    >>> conn.execute(users.update(users.c.name=='ben'), name='bob')
    <sqlalchemy.engine.base.ResultProxy object at ...>
    >>> transaction.commit()
    >>> session = Session()
    >>> session.query(User).all()[0].name
    u'bob'
    >>> transaction.abort()
