PyOhio gave my lightning talk on ddlgenerator a warm reception, and Brandon Lorenz got me thinking, and PyOhio sprints filled my with py-drenaline, and now ddlgenerator can inspect your data and spit out SQLAlchemy model definitions for you:
$ cat merovingians.yaml
-
name: Clovis I
reign:
from: 486
to: 511
-
name: Childebert I
reign:
from: 511
to: 558
$ ddlgenerator --inserts sqlalchemy merovingians.yaml
from sqlalchemy import create_engine, Column, Integer, Table, Unicode
engine = create_engine(r'sqlite:///:memory:')
metadata = MetaData(bind=engine)
merovingians = Table('merovingians', metadata,
Column('name', Unicode(length=12), nullable=False),
Column('reign_from', Integer(), nullable=False),
Column('reign_to', Integer(), nullable=False),
schema=None)
metadata.create_all()
conn = engine.connect()
inserter = merovingians.insert()
conn.execute(inserter, **{'name': 'Clovis I', 'reign_from': 486, 'reign_to': 511})
conn.execute(inserter, **{'name': 'Childebert I', 'reign_from': 511, 'reign_to': 558})
conn.connection.commit()
Brandon's working on a pull request to provide similar functionality for Django models!