Would be great to have some insight here. If I'm going to start generating to/fro SQLalchemy models, then I need to get the column descriptions right
Samuel Marks Charity <https://sydneyscientific.org> | consultancy <https://offscale.io> | open-source <https://github.com/offscale> | LinkedIn <https://linkedin.com/in/samuelmarks> On Tue, Jul 28, 2020 at 5:57 PM Samuel Marks <sam...@offscale.io> wrote: > I have created a little tool—at the AST level—to translate between > docstrings, methods, classes, and argparse. > https://github.com/SamuelMarks/doctrans > > Now looking at adding SQLalchemy support. > > Using the mock > <https://github.com/SamuelMarks/doctrans/tree/f35963b/doctrans/tests/mocks> > I've been using throughout, does this look like the 'right' kind of > SQLalchemy code? > > class Model(Base): > """ > Acquire from the official tensorflow_datasets model zoo, or the > ophthalmology focussed ml-prepare library > > :cvar dataset_name: name of dataset. Defaults to mnist > :cvar tfds_dir: directory to look for models in. Defaults to > ~/tensorflow_datasets > :cvar K: backend engine, e.g., `np` or `tf`. Defaults to np > :cvar as_numpy: Convert to numpy ndarrays > :cvar data_loader_kwargs: pass this as arguments to data_loader function > """ > __tablename__ = 'model' > > dataset_name = Column(String, primary_key=True, default='mnist', > comment='name of dataset', doc='name of dataset') > tfds_dir = Column(String, default='~/tensorflow_datasets', > comment='directory to look for models in', > doc='directory to look for models in') > K = Column(String, default='np', > comment='backend engine, e.g., `np` or `tf`', doc='backend > engine, e.g., `np` or `tf`') > as_numpy = Column(Boolean, > comment='Convert to numpy ndarrays', doc='Convert to > numpy ndarrays') > data_loader_kwargs = Column('data_loader_kwargs', JSON, > comment='pass this as arguments to > data_loader function', > doc='pass this as arguments to data_loader > function') > > # _return_type = 'Train and tests dataset splits. Defaults to > (np.empty(0), np.empty(0))' > > def __repr__(self): > """ > :returns: String representation of constructed object > :rtype: ```str``` > """ > return '<Model(dataset_name={self[dataset_name]!r},' \ > ' tfds_dir={self[tfds_dir]!r},' \ > ' K={self[K]!r},' \ > ' as_numpy={self[as_numpy]!r},' \ > ' data_loader_kwargs={self[data_loader_kwargs]!r}' \ > ')>'.format(self=self) > > > If not, what should it look like? > > Thanks for your suggestions > > -- > SQLAlchemy - > The Python SQL Toolkit and Object Relational Mapper > > http://www.sqlalchemy.org/ > > To post example code, please provide an MCVE: Minimal, Complete, and > Verifiable Example. See http://stackoverflow.com/help/mcve for a full > description. > --- > You received this message because you are subscribed to a topic in the > Google Groups "sqlalchemy" group. > To unsubscribe from this topic, visit > https://groups.google.com/d/topic/sqlalchemy/xZAh5zPswM0/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > sqlalchemy+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/sqlalchemy/6576d789-d088-4e68-a7f7-a17b5c96a810o%40googlegroups.com > <https://groups.google.com/d/msgid/sqlalchemy/6576d789-d088-4e68-a7f7-a17b5c96a810o%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- SQLAlchemy - The Python SQL Toolkit and Object Relational Mapper http://www.sqlalchemy.org/ To post example code, please provide an MCVE: Minimal, Complete, and Verifiable Example. See http://stackoverflow.com/help/mcve for a full description. --- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sqlalchemy/CAGOFhkTFRjQpTiNwM%2BMSX3dw95KGUhX-ATCpNbb_YRhZRM%2B5Rw%40mail.gmail.com.
