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',