DataModel: allow valid values in non-strict mode for TypeOfList and TypeOfDict

This commit is contained in:
Ivan Kravets
2019-10-04 18:30:48 +03:00
parent 47e297fecb
commit 36acdd7797
3 changed files with 213 additions and 85 deletions

View File

@@ -74,8 +74,8 @@ class DataField(object):
self.validate_factory = validate_factory
self.title = title
self.parent = None
self.name = None
self._parent = None
self._name = None
self.value = None
def __repr__(self):
@@ -84,13 +84,24 @@ class DataField(object):
self.default if self.value is None else self.value,
)
def validate(
self, parent, name, value
): # pylint: disable=too-many-return-statements
self.parent = parent
self.name = name
self.title = self.title or name.title()
@property
def parent(self):
return self._parent
@parent.setter
def parent(self, value):
self._parent = value
@property
def name(self):
return self._name
@name.setter
def name(self, value):
self._name = value
self.title = self.title or value.title()
def validate(self, value):
try:
if self.required and value is None:
raise ValueError("Missed value")
@@ -99,38 +110,19 @@ class DataField(object):
if value is None:
return self.default
if inspect.isclass(self.type) and issubclass(self.type, DataModel):
return self.type(**self._ensure_value_is_dict(value))
if isinstance(self.type, ListOfType):
return self._validate_list_of_type(self.type.type, value)
if isinstance(self.type, DictOfType):
return self._validate_dict_of_type(self.type.type, value)
if issubclass(self.type, (str, bool)):
return self.type(**self.ensure_value_is_dict(value))
if inspect.isclass(self.type) and issubclass(self.type, (str, bool)):
return getattr(self, "_validate_%s_value" % self.type.__name__)(value)
except ValueError as e:
raise DataFieldException(self, str(e))
return value
@staticmethod
def _ensure_value_is_dict(value):
def ensure_value_is_dict(value):
if not isinstance(value, dict):
raise ValueError("Value should be type of dict, not `%s`" % type(value))
return value
def _validate_list_of_type(self, list_of_type, value):
if not isinstance(value, list):
raise ValueError("Value should be a list")
if isinstance(list_of_type, DataField):
return [list_of_type.validate(self.parent, self.name, v) for v in value]
assert issubclass(list_of_type, DataModel)
return [list_of_type(**self._ensure_value_is_dict(v)) for v in value]
def _validate_dict_of_type(self, dict_of_type, value):
assert issubclass(dict_of_type, DataModel)
value = self._ensure_value_is_dict(value)
return {
k: dict_of_type(**self._ensure_value_is_dict(v)) for k, v in value.items()
}
def _validate_str_value(self, value):
if not isinstance(value, string_types):
value = str(value)
@@ -162,21 +154,94 @@ class DataModel(object):
def __init__(self, **kwargs):
self._field_names = []
self._exceptions = []
self._exceptions = set()
for name, field in get_class_attributes(self).items():
if not isinstance(field, DataField):
continue
field.parent = self
field.name = name
self._field_names.append(name)
raw_value = kwargs.get(name)
value = None
try:
value = field.validate(self, name, kwargs.get(name))
if isinstance(field.type, ListOfType):
value = self._validate_list_of_type(field, name, raw_value)
elif isinstance(field.type, DictOfType):
value = self._validate_dict_of_type(field, name, raw_value)
else:
value = field.validate(raw_value)
except DataFieldException as e:
self._exceptions.append(e)
self._exceptions.add(e)
if isinstance(self, StrictDataModel):
raise e
finally:
setattr(self, name, value)
def _validate_list_of_type(self, field, name, value):
data_type = field.type.type
# check if ListOfType is not required
value = field.validate(value)
if not value:
return None
if not isinstance(value, list):
raise DataFieldException(field, "Value should be a list")
if isinstance(data_type, DataField):
result = []
data_type.parent = self
data_type.name = name
for v in value:
try:
result.append(data_type.validate(v))
except DataFieldException as e:
self._exceptions.add(e)
if isinstance(self, StrictDataModel):
raise e
return result
assert issubclass(data_type, DataModel)
result = []
for v in value:
try:
if not isinstance(v, dict):
raise DataFieldException(
field, "Value `%s` should be type of dictionary" % v
)
result.append(data_type(**v))
except DataFieldException as e:
self._exceptions.add(e)
if isinstance(self, StrictDataModel):
raise e
return result
def _validate_dict_of_type(self, field, _, value):
data_type = field.type.type
assert issubclass(data_type, DataModel)
# check if DictOfType is not required
value = field.validate(value)
if not value:
return None
if not isinstance(value, dict):
raise DataFieldException(
field, "Value `%s` should be type of dictionary" % value
)
result = {}
for k, v in value.items():
try:
if not isinstance(v, dict):
raise DataFieldException(
field, "Value `%s` should be type of dictionary" % v
)
result[k] = data_type(**v)
except DataFieldException as e:
self._exceptions.add(e)
if isinstance(self, StrictDataModel):
raise e
return result
def __eq__(self, other):
assert isinstance(other, DataModel)
if self.get_field_names() != other.get_field_names():
@@ -195,7 +260,19 @@ class DataModel(object):
return self._field_names
def get_exceptions(self):
return self._exceptions
result = list(self._exceptions)
for name in self._field_names:
value = getattr(self, name)
if isinstance(value, DataModel):
result.extend(value.get_exceptions())
continue
if not isinstance(value, (dict, list)):
continue
for v in value.values() if isinstance(value, dict) else value:
if not isinstance(v, DataModel):
continue
result.extend(v.get_exceptions())
return result
def as_dict(self):
result = {}