def validate_dated_value_json(value, state = None):
if value is None:
return None, None
container = state.ancestors[-1]
value_converter = dict(
boolean = conv.condition(
conv.test_isinstance(int),
conv.test_in((0, 1)),
conv.test_isinstance(bool),
),
float = conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
integer = conv.condition(
conv.test_isinstance(float),
conv.pipe(
conv.test(lambda number: round(number) == number),
conv.function(int),
),
conv.test_isinstance(int),
),
rate = conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
)[container.get('format') or 'float'] # Only parameters have a "format".
return value_converter(value, state = state or conv.default_state)
def validate_dated_value_json(value, state=None):
if value is None:
return None, None
container = state.ancestors[-1]
value_converter = dict(
boolean=conv.condition(
conv.test_isinstance(int),
conv.test_in((0, 1)),
conv.test_isinstance(bool),
),
float=conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
integer=conv.condition(
conv.test_isinstance(float),
conv.pipe(
conv.test(lambda number: round(number) == number),
conv.function(int),
),
conv.test_isinstance(int),
),
rate=conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
)[container.get('format') or 'float'] # Only parameters have a "format".
return value_converter(value, state=state or conv.default_state)
def validate_node_json(node, state=None):
if node is None:
return None, None
if state is None:
state = conv.default_state
validated_node, errors = conv.pipe(
conv.condition(
conv.test_isinstance(list),
conv.uniform_sequence(
validate_node_json,
drop_none_items=True,
),
conv.pipe(
conv.condition(
conv.test_isinstance(basestring_type),
conv.function(lambda code: dict(code=code)),
conv.test_isinstance(dict),
),
conv.struct(
dict(
children=conv.pipe(
conv.test_isinstance(list),
conv.uniform_sequence(
validate_node_json,
drop_none_items=True,
),
conv.empty_to_none,
),
code=conv.pipe(
conv.test_isinstance(basestring_type),
conv.cleanup_line,
),
),
constructor=collections.OrderedDict,
default=conv.noop,
drop_none_values='missing',
keep_value_order=True,
),
),
),
conv.empty_to_none,
)(node, state=state)
if validated_node is None or errors is not None:
return validated_node, errors
if isinstance(validated_node,
dict) and not validated_node.get('children'):
validated_node, errors = conv.struct(
dict(code=conv.pipe(
conv.test_in(tax_benefit_system.variables),
conv.not_none,
), ),
default=conv.noop,
)(validated_node, state=state)
return validated_node, errors
def make_json_to_array_by_period(self, period):
return conv.condition(
conv.test_isinstance(dict),
conv.pipe(
# Value is a dict of (period, value) couples.
conv.uniform_mapping(
conv.pipe(
conv.function(periods.period),
conv.not_none,
),
conv.pipe(
conv.make_item_to_singleton(),
conv.uniform_sequence(self.json_to_dated_python, ),
conv.empty_to_none,
conv.function(lambda cells_list: np.array(
cells_list, dtype=self.dtype)),
),
drop_none_values=True,
),
conv.empty_to_none,
),
conv.pipe(
conv.make_item_to_singleton(),
conv.uniform_sequence(self.json_to_dated_python, ),
conv.empty_to_none,
conv.function(
lambda cells_list: np.array(cells_list, dtype=self.dtype)),
conv.function(lambda array: {period: array}),
),
)
def json_to_dated_python(self):
return conv.pipe(
conv.condition(
conv.test_isinstance((float, int)),
# YAML stores strings containing only digits as numbers.
conv.function(str),
),
conv.test_isinstance(basestring_type),
)
def json_to_dated_python(self):
return conv.pipe(
conv.condition(
conv.test_isinstance((float, int)),
# YAML stores strings containing only digits as numbers.
conv.function(str),
),
conv.test_isinstance(basestring_type),
conv.test(lambda value: len(value) <= self.variable.max_length),
)
def json_to_dated_python(self):
return conv.pipe(
conv.condition(
conv.test_isinstance(datetime.date),
conv.noop,
conv.condition(
conv.test_isinstance(int),
conv.pipe(
conv.test_between(1870, 2099),
conv.function(lambda year: datetime.date(year, 1, 1)),
),
conv.pipe(
conv.test_isinstance(basestring_type),
conv.test(year_or_month_or_day_re.match, error = N_('Invalid date')),
conv.function(lambda birth: '-'.join((birth.split('-') + ['01', '01'])[:3])),
conv.iso8601_input_to_date,
),
),
),
conv.test_between(datetime.date(1870, 1, 1), datetime.date(2099, 12, 31)),
)
def json_to_python(self):
return conv.condition(
conv.test_isinstance(dict),
conv.pipe(
# Value is a dict of (period, value) couples.
conv.uniform_mapping(
conv.pipe(
conv.function(periods.period),
conv.not_none,
),
self.json_to_dated_python,
), ),
self.json_to_dated_python,
)
def json_or_python_to_test_case(value, state = None):
if value is None:
return value, None
if state is None:
state = conv.default_state
column_by_name = self.tax_benefit_system.column_by_name
# First validation and conversion step
test_case, error = conv.pipe(
conv.test_isinstance(dict),
conv.struct(
dict(
familles = conv.pipe(
conv.condition(
conv.test_isinstance(list),
conv.pipe(
conv.uniform_sequence(
conv.test_isinstance(dict),
drop_none_items = True,
),
conv.function(lambda values: collections.OrderedDict(
(value.pop('id', index), value)
for index, value in enumerate(values)
)),
),
),
conv.test_isinstance(dict),
conv.uniform_mapping(
conv.pipe(
conv.test_isinstance((basestring, int)),
conv.not_none,
),
conv.pipe(
conv.test_isinstance(dict),
conv.struct(
dict(itertools.chain(
dict(
enfants = conv.pipe(
conv.test_isinstance(list),
conv.uniform_sequence(
conv.test_isinstance((basestring, int)),
drop_none_items = True,
),
conv.default([]),
),
parents = conv.pipe(
conv.test_isinstance(list),
conv.uniform_sequence(
conv.test_isinstance((basestring, int)),
drop_none_items = True,
),
conv.default([]),
),
).iteritems(),
(
(column.name, column.json_to_python)
for column in column_by_name.itervalues()
if column.entity == 'fam'
),
)),
drop_none_values = True,
),
),
drop_none_values = True,
),
conv.default({}),
),
individus = conv.pipe(
conv.condition(
conv.test_isinstance(list),
conv.pipe(
conv.uniform_sequence(
conv.test_isinstance(dict),
drop_none_items = True,
),
conv.function(lambda values: collections.OrderedDict(
(value.pop('id', index), value)
for index, value in enumerate(values)
)),
),
),
conv.test_isinstance(dict),
conv.uniform_mapping(
conv.pipe(
conv.test_isinstance((basestring, int)),
conv.not_none,
),
conv.pipe(
conv.test_isinstance(dict),
conv.struct(
dict(
(column.name, column.json_to_python)
for column in column_by_name.itervalues()
if column.entity == 'ind' and column.name not in (
'idfam', 'idfoy', 'idmen', 'quifam', 'quifoy', 'quimen')
),
drop_none_values = True,
),
),
drop_none_values = True,
),
conv.empty_to_none,
conv.not_none,
),
),
),
)(value, state = state)
if error is not None:
return test_case, error
# Second validation step
familles_individus_id = list(test_case['individus'].iterkeys())
test_case, error = conv.struct(
dict(
familles = conv.uniform_mapping(
conv.noop,
conv.struct(
dict(
enfants = conv.uniform_sequence(conv.test_in_pop(familles_individus_id)),
parents = conv.uniform_sequence(conv.test_in_pop(familles_individus_id)),
),
default = conv.noop,
),
),
),
default = conv.noop,
)(test_case, state = state)
remaining_individus_id = set(familles_individus_id)
if remaining_individus_id:
if error is None:
error = {}
for individu_id in remaining_individus_id:
error.setdefault('individus', {})[individu_id] = state._(u"Individual is missing from {}").format(
state._(u' & ').join(
word
for word in [
u'familles' if individu_id in familles_individus_id else None,
]
if word is not None
))
if error is not None:
return test_case, error
return test_case, error
def validate_value_json(value, state = None):
if value is None:
return None, None
container = state.ancestors[-1]
value_converter = dict(
boolean = conv.condition(
conv.test_isinstance(int),
conv.test_in((0, 1)),
conv.test_isinstance(bool),
),
float = conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
integer = conv.condition(
conv.test_isinstance(float),
conv.pipe(
conv.test(lambda number: round(number) == number),
conv.function(int),
),
conv.test_isinstance(int),
),
rate = conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
)[container.get('format') or 'float'] # Only parameters have a "format".
state = conv.add_ancestor_to_state(state, value)
validated_value, errors = conv.pipe(
conv.test_isinstance(dict),
conv.struct(
{
u'comment': conv.pipe(
conv.test_isinstance(basestring),
conv.cleanup_text,
),
u'from': conv.pipe(
conv.test_isinstance(basestring),
conv.iso8601_input_to_date,
conv.date_to_iso8601_str,
conv.not_none,
),
u'to': conv.pipe(
conv.test_isinstance(basestring),
conv.iso8601_input_to_date,
conv.date_to_iso8601_str,
conv.not_none,
),
u'value': conv.pipe(
value_converter,
conv.not_none,
),
},
constructor = collections.OrderedDict,
drop_none_values = 'missing',
keep_value_order = True,
),
)(value, state = state)
conv.remove_ancestor_from_state(state, value)
return validated_value, errors
drop_none_values = 'missing',
keep_value_order = True,
),
)(value, state = state)
conv.remove_ancestor_from_state(state, value)
return validated_value, errors
validate_values_holder_json = conv.pipe(
conv.test_isinstance(list),
conv.uniform_sequence(
validate_value_json,
drop_none_items = True,
),
make_validate_values_json_dates(require_consecutive_dates = False),
conv.empty_to_none,
)
# Level-2 Converters
validate_any_legislation_json = conv.pipe(
conv.test_isinstance(dict),
conv.condition(
conv.test(lambda legislation_json: 'datesim' in legislation_json),
validate_dated_legislation_json,
validate_node_json,
),
)
def validate_value_json(value, state=None):
if value is None:
return None, None
container = state.ancestors[-1]
value_converter = dict(
boolean=conv.condition(
conv.test_isinstance(int),
conv.test_in((0, 1)),
conv.test_isinstance(bool),
),
float=conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
integer=conv.condition(
conv.test_isinstance(float),
conv.pipe(
conv.test(lambda number: round(number) == number),
conv.function(int),
),
conv.test_isinstance(int),
),
rate=conv.condition(
conv.test_isinstance(int),
conv.anything_to_float,
conv.test_isinstance(float),
),
)[container.get('format') or 'float'] # Only parameters have a "format".
state = conv.add_ancestor_to_state(state, value)
validated_value, errors = conv.pipe(
conv.test_isinstance(dict),
conv.struct(
{
u'comment':
conv.pipe(
conv.test_isinstance(basestring),
conv.cleanup_text,
),
u'from':
conv.pipe(
conv.test_isinstance(basestring),
conv.iso8601_input_to_date,
conv.date_to_iso8601_str,
conv.not_none,
),
u'to':
conv.pipe(
conv.test_isinstance(basestring),
conv.iso8601_input_to_date,
conv.date_to_iso8601_str,
conv.not_none,
),
u'value':
conv.pipe(
value_converter,
conv.not_none,
),
},
constructor=collections.OrderedDict,
drop_none_values='missing',
keep_value_order=True,
),
)(value, state=state)
conv.remove_ancestor_from_state(state, value)
return validated_value, errors
},
constructor=collections.OrderedDict,
drop_none_values='missing',
keep_value_order=True,
),
)(value, state=state)
conv.remove_ancestor_from_state(state, value)
return validated_value, errors
validate_values_holder_json = conv.pipe(
conv.test_isinstance(list),
conv.uniform_sequence(
validate_value_json,
drop_none_items=True,
),
make_validate_values_json_dates(require_consecutive_dates=False),
conv.empty_to_none,
)
# Level-2 Converters
validate_any_legislation_json = conv.pipe(
conv.test_isinstance(dict),
conv.condition(
conv.test(lambda legislation_json: 'datesim' in legislation_json),
validate_dated_legislation_json,
validate_node_json,
),
)
