def test(self): va_dao = CSV_VA_DAO() va = va_dao.load_va()
effort_dao = SA_Effort_DAO(session=db_session)
#t0 = 1989
t0 = 2008
tf = 2010
dt = 1
times = range(t0,tf+1,dt)
#grid_model = StaticGridModel(cell_dao=SA_Cell_DAO(session=db_session), default_filters=[{'field': 'type','op': '==', 'value': 'km100' }, {'field': 'type_id', 'op': '==', 'value': '817'}])
grid_model = StaticGridModel(cell_dao=SA_Cell_DAO(session=db_session), default_filters=[{'field': 'type','op': '==', 'value': 'km100'} ])
# Filter domain for cells w/ depth less than 138 (for G3).
#grid_model = StaticGridModel(cell_dao=SA_Cell_DAO(session=db_session), default_filters=[{'field': 'type','value': ['km100'] }, {'field': 'depth', 'op': '>=', 'value': -138}])
va_dao = CSV_VA_DAO()
va = va_dao.load_va()
features_model = Features_Model(feature_dao=SA_Feature_DAO(session=db_session))
gears = []
for i in [3]:
gear_code = "GC%s" % i
gears.append(db_session.query(Gear).filter(Gear.id == gear_code).one())
effort_model = NominalEffortPerGearModel(grid_model=grid_model, gears=gears, times=times)
"""
effort_model = DAO_Effort_Model(effort_dao = effort_dao, default_filters=[
{
'field': 'tag',
