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from turbogears import validators #the shiny validator part
class WidgetSchemaFactory(object):
"""
The purpose of the class is to produce a
validators.Schema object according to method
arguments that are retrieved from minions
"""
def __init__(self,method_argument_dict):
"""
@param method_argument_dict : The dict that is
from minion in format of {'arg':{'type':'string','options':[...]}}
the format is defined in func/minion/func_arg.py
"""
self.method_argument_dict = method_argument_dict
self.validator_list = {} #the validator that will create final schema
def _add_validators(self):
"""
Method is an entry point of factory iters over the all arguments
and according to their types it sends the process to more specialized
validator adders
"""
for argument_name,argument_values in self.method_argument_dict.iteritems():
#some lazy stuff :)
#for ex : _add_int_validator(some_arg)
getattr(self,"_add_%s_validator"%(argument_values['type']))(argument_name)
def _add_int_validator(self,argument_name):
"""
Gets the options of the int type and adds a
new validator to validator_list
"""
pass
def _add_string_validator(self,argument_name):
"""
Gets the options of the string type and adds a
new validator to validator_list
"""
string_data_set={}
str_validator_list =[]
if self.method_argument_dict[argument_name].has_key('optional'):
if self.method_argument_dict[argument_name]['optional']:
string_data_set['not_empty']=False
else:
string_data_set['not_empty']=True
if self.method_argument_dict[argument_name].has_key('min_length'):
string_data_set['min']=self.method_argument_dict[argument_name]['min_length']
if self.method_argument_dict[argument_name].has_key('max_length'):
string_data_set['max']=self.method_argument_dict[argument_name]['max_length']
if self.method_argument_dict[argument_name].has_key('validator'):
str_validator_list.append(getattr(validators,'Regex')(self.method_argument_dict[argument_name]['validator']))
#if we have set a string_data_set
if string_data_set:
str_validator_list.append(getattr(validators,'String')(**string_data_set))
#if true it should be a validator.All thing
if len(str_validator_list)>1:
self.validator_list[argument_name]=getattr(validators,'All')(*str_validator_list)
elif str_validator_list:
self.validator_list[argument_name]=str_validator_list[0]
else: #if there is no option
self.validator_list[argument_name]=getattr(validators,'String')()
def _add_float_validator(self,argument_name):
"""
Gets the options of the float type and adds a
new validator to validator_list
"""
pass
def _add_list_validator(self,argument_name):
"""
Gets the options of the list type and adds a
new validator to validator_list
"""
pass
def _add_hash_validator(self,argument_name):
"""
Gets the options of the hash type and adds a
new validator to validator_list
"""
pass
def get_ready_schema(self):
"""
Get the final validator schema
"""
final_schema = validators.Schema()
if not self.validator_list:
self._add_validators()
for vd_name,vd in self.validator_list.iteritems():
setattr(final_schema,vd_name,vd)
return final_schema
if __name__ == "__main__":
pass
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