sqlalchemy autoloaded orm persistence

Question

We are using sqlalchemy's autoload feature to do column mapping to prevent hardcoding in our code.

class users(Base):
    __tablename__ = 'users'
    __table_args__ = {
        'autoload': True,
        'mysql_engine': 'InnoDB',
        'mysql_charset': 'utf8'
    }

Is there a way to serialize or cache autoloaded metadata/orms so we don't have to go through the autoload process every time we need to reference our orm classes from other scripts/functions?

I have looked at beaker caching and pickle but haven't found a clear answer if it is possible or how to do it.

Ideally we run the autload mapping script only when we have committed changes to our database structure but reference a non-autoload/persistent/cached version of our database mapping from all other scripts/functions,

Any ideas?

Answer 1

What I am doing now is to pickle the metadata after running the reflection through a database connection (MySQL) and once a pickle is available use that pickled metadata to reflect on the schema with the metadata bound to an SQLite engine.

cachefile='orm.p'
dbfile='database'
engine_dev = create_engine(#db connect, echo=True)
engine_meta = create_engine('sqlite:///%s' % dbfile,echo=True)
Base = declarative_base()
Base.metadata.bind = engine_dev
metadata = MetaData(bind=engine_dev)

# load from pickle 
try:
    with open(cachefile, 'r') as cache:
        metadata2 = pickle.load(cache)
        metadata2.bind = engine_meta
        cache.close()
    class Users(Base):
        __table__ = Table('users', metadata2, autoload=True)

    print "ORM loaded from pickle"

# if no pickle, use reflect through database connection    
except:
    class Users(Base):
        __table__ = Table('users', metadata, autoload=True)

print "ORM through database autoload"

# create metapickle
metadata.create_all()
with open(cachefile, 'w') as cache:
    pickle.dump(metadata, cache)
    cache.close()

Any comments if this is alright (it works) or there is something I can improve?