# setup model
model = sys.argv[1]
variable = None
if len(sys.argv) > 2:
variable = sys.argv[2]
mvModel = metric.getModel(model)
variableSet = []
if variable:
modelVar = util.getSubModuleFromString(mvModel, variable)
variableSet = VS.getRelatedVariables(modelVar)
else:
# no variable parameter, get all vars for the model
variableSet, roots = VS.gatherVariables(mvModel.VariableStore)
sys.stdout.write("file,class,alias1,alias2,section,option,units,default,dependencies\n")
for var in variableSet:
filename = inspect.getfile(var).replace('.pyc', '.py')
clazz = VS.getClassname(var)
alias = VS.getAlias(var)
alias1 = "" if not var.aliases or len(var.aliases) < 1 else var.aliases[0]
alias2 = "" if not var.aliases or len(var.aliases) < 2 else var.aliases[1]
depClasses = []
if var.dependencies != None:
depClasses = [VS.getClassname(dep) for dep in var.dependencies]
sys.stdout.write("%s,%s,%s,%s,%s,%s,%s,%s,%s\n" % (filename, clazz, alias1, alias2, var.section,
var.option, var.units, var.default, ";".join(depClasses)))
import sys, os
from signal import signal, SIGPIPE, SIG_DFL
signal(SIGPIPE,SIG_DFL)
basePath = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(basePath)
from np.lib import variable_store as VS
from np.lib.variable_store import Variable as V
from np.lib import metric
def all_subclasses(cls):
return cls.__subclasses__() + [g for s in cls.__subclasses__()
for g in all_subclasses(s)]
if __name__ == '__main__':
if(len(sys.argv) < 2):
sys.stderr.write("example usage: python write_all_variables.py model\n")
sys.exit()
# setup model
model = sys.argv[1]
# import the model so that the subclasses of Variable are found
mvModel = metric.getModel(model)
for var in all_subclasses(V):
print VS.getClassname(var)
