import model
from sqlalchemy import orm
from sqlalchemy import create_engine
from mariadb_connect import db_conn_str
# create an engine and create all the tables we need
engine = create_engine(db_conn_str('tester'), echo=True)
model.metadata.bind = engine
model.metadata.create_all()
# set up the session
# `sessionmaker` returns an object for building the session we want
# * `flushing` is the process of updating the db with the objects we're using
# * `commiting` is sending a `COMMIT` statement to the db to make flushes
# permanent
#
# `bind=engine` - bind the session to the engine; the session will create the
# connection it needs
# `autoflush=True` - if we comit changes to the db before they have been
# flushed, this option will tell SQLAlchemy to flush them before the commit
# is gone
# `autocommit=False` - wrap all changes between commits in a transation; if
# `True`, this will cause SQLAlchemy to commit any changes after each flush
# (usually we don't want this)
# `expire_on_commit=True` - all instances attached to the session will be
# expired after each commit so all access subsequent to a completed transaction
# will load from the most recent db state
sm = orm.sessionmaker(bind=engine,
autoflush=True,
autocommit=False,
from sqlalchemy import schema, types
from sqlalchemy.engine import create_engine
from mariadb_connect import db_conn_str
metadata = schema.MetaData()
page_table = schema.Table(
'page', metadata,
schema.Column('id', types.Integer, primary_key=True),
schema.Column('name', types.Unicode(255), default=u''),
schema.Column('title', types.Unicode(255), default=u'Untitled Page'),
schema.Column('content', types.Text(), default=u'')
)
for t in metadata.sorted_tables:
print "Table name: ", t.name
print "t is page_table: ", t is page_table
for column in page_table.columns:
print "Column Table name: ", column.type
engine = create_engine(db_conn_str('tester'))
metadata.bind = engine
metadata.create_all(checkfirst=True)
