Reputation: 2316
I'd like to add a custom attribute "searchable" to the columns in an sqlalchemy model. The purpose is to extract data for just these columns (using ModelFoo.__ table__.columns) and put the data into solr. Is there a way I can mark certain columns using a custom attribute?
class ModelFoo(AppBase):
__tablename__ = 'foo'
id = Column("id", Integer, primary_key=True, autoincrement=True)
os = Column(String, nullable=False, searchable=True)
platform = Column(String, searchable=True)
by default, I get the following error when I try the above:
sqlalchemy.exc.ArgumentError: Unknown arguments passed to Column: ['searchable']
I am looking for a generic way to add only "searchable" columns to solr, something along these lines:
for table in Base.metadata.tables.values():
keys = [str(key) for key in table.columns if key.searchable]
solr.add(session.query(*keys).all())
in the above code, I am looking for some short solution or alternative to get "key.searchable" to work. Hope this clarifies the question.
Upvotes: 3
Views: 1301
Reputation: 2316
I solved this using a separate attribute in model:
class ModelFoo(Base):
__tablename__ = 'foo'
id = Column("id", Integer, primary_key=True, autoincrement=True)
os = Column(String, nullable=False)
platform = Column(String)
search_cols = ["os", "value"]
for k, v in list(Base._decl_class_registry.items()):
if (hasattr(v, "search_cols")):
cols = [getattr(v, val) for val in v.search_cols]
query = sess.query(*cols)
solr.add(query.all())
Upvotes: 2
Reputation: 1975
I'm a little unclear on your question but it looks like your are trying to do something like this from the link you provided:
si.add(Book.objects.all())
Where Book.objects.all()
is a list of records from an ORM mapped table. Note that the docs say a list of objects is also acceptable. I think to solution here is to use the SQLAlchemy query method to build records with only the fields you want. Using your example with would look like this:
si.add(session.query(ModelFoo.os, ModelFoo.platform).all())
Upvotes: 0