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 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/6576d789-d088-4e68-a7f7-a17b5c96a810o%40googlegroups.com.
