def to_dict(self):
"""Gets a dict representing this interaction. Only default values are
provided.
"""
result = {
'id': self.id,
'name': self.name,
'description': self.description,
'display_mode': self.display_mode,
'is_terminal': self.is_terminal,
'is_trainable': self.is_trainable,
'is_string_classifier_trainable':
self.is_string_classifier_trainable,
'is_linear': self.is_linear,
'needs_summary': self.needs_summary,
'customization_arg_specs': [{
'name': ca_spec.name,
'description': ca_spec.description,
'default_value': ca_spec.default_value,
'schema': ca_spec.schema,
} for ca_spec in self.customization_arg_specs],
'instructions': self.instructions,
'default_outcome_heading': self.default_outcome_heading,
}
# Add information about rule descriptions corresponding to the answer
# type for this interaction.
result['rule_descriptions'] = (
rule_domain.get_description_strings_for_obj_type(
self.answer_type))
return result
def to_dict(self):
"""Gets a dict representing this interaction. Only default values are
provided.
"""
result = {
'id': self.id,
'name': self.name,
'description': self.description,
'display_mode': self.display_mode,
'is_terminal': self.is_terminal,
'is_trainable': self.is_trainable,
'needs_summary': self.needs_summary,
'customization_arg_specs': [{
'name': ca_spec.name,
'description': ca_spec.description,
'default_value': ca_spec.default_value,
'schema': ca_spec.schema,
} for ca_spec in self.customization_arg_specs],
'instructions': self.instructions,
}
# Add information about rule descriptions corresponding to the answer
# type for this interaction.
result['rule_descriptions'] = (
rule_domain.get_description_strings_for_obj_type(
self.answer_type))
return result
def to_dict(self):
"""Gets a dict representing this interaction. Only default values are
provided.
"""
result = {
'id': self.id,
'name': self.name,
'description': self.description,
'display_mode': self.display_mode,
'is_terminal': self.is_terminal,
'customization_arg_specs': [{
'name': ca_spec.name,
'description': ca_spec.description,
'default_value': ca_spec.default_value,
'schema': ca_spec.schema,
} for ca_spec in self.customization_arg_specs],
}
# Add information about the handlers.
result['handler_specs'] = [h.to_dict() for h in self.handlers]
for idx, handler in enumerate(self.handlers):
result['handler_specs'][idx]['rules'] = dict((
rule_cls.description,
{'classifier': rule_cls.__name__}
) for rule_cls in handler.rules)
# Add information about rule descriptions corresponding to the answer
# type for this interaction.
result['rule_descriptions'] = (
rule_domain.get_description_strings_for_obj_type(
self.handlers[0].obj_type))
return result
def test_get_description_strings_for_obj_type(self):
rule_descriptions = rule_domain.get_description_strings_for_obj_type("UnicodeString")
self.assertEqual(
rule_descriptions,
{
"CaseSensitiveEquals": ("is equal to {{x|UnicodeString}}, taking case into account"),
"Contains": "contains {{x|UnicodeString}}",
"Equals": "is equal to {{x|UnicodeString}}",
"MatchesBase64EncodedFile": ("has same content as the file located at " "{{filepath|UnicodeString}}"),
"StartsWith": "starts with {{x|UnicodeString}}",
},
)
def test_get_description_strings_for_obj_type(self):
rule_descriptions = rule_domain.get_description_strings_for_obj_type(
'Real')
self.assertEqual(rule_descriptions, {
'Equals': 'is equal to {{x|Real}}',
'IsLessThan': 'is less than {{x|Real}}',
'IsGreaterThan': 'is greater than {{x|Real}}',
'IsLessThanOrEqualTo': 'is less than or equal to {{x|Real}}',
'IsGreaterThanOrEqualTo': 'is greater than or equal to {{x|Real}}',
'IsInclusivelyBetween': (
'is between {{a|Real}} and {{b|Real}}, inclusive'),
'IsWithinTolerance': 'is within {{tol|Real}} of {{x|Real}}'
})
def test_get_description_strings_for_obj_type(self):
rule_descriptions = rule_domain.get_description_strings_for_obj_type(
'UnicodeString')
self.assertEqual(rule_descriptions, {
'CaseSensitiveEquals': (
'is equal to {{x|UnicodeString}}, taking case into account'),
'Contains': 'contains {{x|UnicodeString}}',
'Equals': 'is equal to {{x|UnicodeString}}',
'MatchesBase64EncodedFile': (
'has same content as the file located at '
'{{filepath|UnicodeString}}'),
'StartsWith': 'starts with {{x|UnicodeString}}',
})
def test_get_description_strings_for_obj_type(self):
rule_descriptions = rule_domain.get_description_strings_for_obj_type(
'UnicodeString')
self.assertEqual(rule_descriptions, {
'CaseSensitiveEquals': (
'is equal to {{x|UnicodeString}}, taking case into account'),
'Contains': 'contains {{x|UnicodeString}}',
'Equals': 'is equal to {{x|UnicodeString}}',
'MatchesBase64EncodedFile': (
'has same content as the file located at '
'{{filepath|UnicodeString}}'),
'StartsWith': 'starts with {{x|UnicodeString}}',
})
def to_dict(self):
"""Gets a dict representing this interaction. Only default values are
provided.
"""
result = {
'id':
self.id,
'name':
self.name,
'description':
self.description,
'display_mode':
self.display_mode,
'is_terminal':
self.is_terminal,
'customization_arg_specs': [{
'name': ca_spec.name,
'description': ca_spec.description,
'default_value': ca_spec.default_value,
'schema': ca_spec.schema,
} for ca_spec in self.customization_arg_specs],
}
# Add information about the handlers.
result['handler_specs'] = [h.to_dict() for h in self.handlers]
for idx, handler in enumerate(self.handlers):
result['handler_specs'][idx]['rules'] = dict(
(rule_cls.description, {
'classifier': rule_cls.__name__
}) for rule_cls in handler.rules)
# Add information about rule descriptions corresponding to the answer
# type for this interaction.
result['rule_descriptions'] = (
rule_domain.get_description_strings_for_obj_type(
self.handlers[0].obj_type))
return result
