def __setup_data_context(self):
dc = self.data_context
dc_navigator = DataContextNavigator(dc)
for col_name, col in self.columns.iteritems():
metadata = Column.get_metadata(col)
if metadata.uses_data_context:
dc_prop = col_name if metadata.data_context == True else\
metadata.data_context
try: column_context = dc_navigator.navigate(dc_prop)
except (AttributeError, KeyError):
raise Exception(type(self).__name__ +
', missing data_context value for column '
'%(col_name)s: %(dc_prop)s'
'\n\t data_context = %(dc)s' % locals())
# allow binding primitives to single argument functions
if not isinstance(column_context, dict):
args = inspect.getargspec(metadata.inner_func).args
if args == ['self']:
column_context = {tuple():column_context}
else:
raise Exception(type(self).__name__ +
', data_context error for column '
'%s(col_name), unexpected data type. '
'Must be dictionary, since the function'
' takes multiple arguments '
'(not just "self"\ndata_context='
'%(column_context)' % column_context)
for args, val in column_context.iteritems():
col.set_value(args, val)
def do_timestep(self, t):
if self.__columns == None:
raise ModelException('You must call super.__init__')
for col in self.columns.values():
metadata = Column.get_metadata(col)
if metadata.is_automatically_called:
col(t)
for submodel in self.submodels.values():
submodel.do_timestep(t)
def do_timestep(self, t):
if self.__columns == None:
raise ModelException('You must call super.__init__')
for col in self.columns.values():
metadata = Column.get_metadata(col)
if metadata.is_automatically_called:
col(t)
for submodel in self.submodels.values():
submodel.do_timestep(t)
def __setup_data_context(self):
dc = self.data_context
dc_navigator = DataContextNavigator(dc)
for col_name, col in self.columns.iteritems():
metadata = Column.get_metadata(col)
if metadata.uses_data_context:
dc_prop = col_name if metadata.data_context == True else\
metadata.data_context
try:
column_context = dc_navigator.navigate(dc_prop)
except (AttributeError, KeyError):
raise Exception(
type(self).__name__ +
', missing data_context value for column '
'%(col_name)s: %(dc_prop)s'
'\n\t data_context = %(dc)s' % locals())
# allow binding primitives to single argument functions
if not isinstance(column_context, dict):
args = inspect.getargspec(metadata.inner_func).args
if args == ['self']:
column_context = {tuple(): column_context}
else:
raise Exception(
type(self).__name__ +
', data_context error for column '
'%s(col_name), unexpected data type. '
'Must be dictionary, since the function'
' takes multiple arguments '
'(not just "self"\ndata_context='
'%(column_context)' % column_context)
for args, val in column_context.iteritems():
col.set_value(args, val)
def testGetMetadata(self):
col = Column(lambda x: x, True)
metadata = Column.get_metadata(col)
self.assertIsInstance(metadata, ColumnMetadata, \
'Expected column metadata')
def get_column_identifier(self, column):
col_id = self.__model_identifier + Column.get_column_name(column)
metadata = {'args': getargspec(Column.get_metadata(column).inner_func)}
return ColumnIdentifier(col_id, column, metadata)
def get_column_identifier(self, column):
col_id = self.__model_identifier + Column.get_column_name(column)
metadata = {'args': getargspec(Column.get_metadata(column).inner_func)}
return ColumnIdentifier(col_id, column, metadata)
def testGetMetadata(self):
col = Column(lambda x: x, True)
metadata = Column.get_metadata(col)
self.assertIsInstance(metadata, ColumnMetadata, \
'Expected column metadata')