def validate_features_custom_weight(self, data, features, max_sum):
if (
features
and data["lots"]
and any(
[
round(
vnmax(
[
i
for i in features
if i.featureOf == "tenderer"
or i.featureOf == "lot"
and i.relatedItem == lot["id"]
or i.featureOf == "item"
and i.relatedItem in [j.id for j in data["items"] if j.relatedLot == lot["id"]]
]
),
15,
)
> max_sum
for lot in data["lots"]
]
)
):
raise ValidationError(
u"Sum of max value of all features for lot should be less then or equal to {:.0f}%".format(max_sum * 100)
)
elif features and not data["lots"] and round(vnmax(features), 15) > max_sum:
raise ValidationError(
u"Sum of max value of all features should be less then or equal to {:.0f}%".format(max_sum * 100)
)
def validate_features(self, data, features):
if (
features
and data["lots"]
and any(
[
round(
vnmax(
[
i
for i in features
if i.featureOf == "tenderer"
or i.featureOf == "lot"
and i.relatedItem == lot["id"]
or i.featureOf == "item"
and i.relatedItem in [j.id for j in data["items"] if j.relatedLot == lot["id"]]
]
),
15,
)
> 0.25
for lot in data["lots"]
]
)
):
raise ValidationError(u"Sum of max value of all features for lot should be less then or equal to 25%")
elif features and not data["lots"] and round(vnmax(features), 15) > 0.25:
raise ValidationError(u"Sum of max value of all features should be less then or equal to 25%")
def __call__(self, cls, data, features):
if features:
for i in features:
if i.featureOf == "lot":
raise ValidationError(u"Features are not allowed for lots")
if data["lots"] and any([
round(
vnmax([
i for i in features if i.featureOf == "tenderer" or
i.featureOf == "lot" and i.relatedItem == lot["id"]
or i.featureOf == "item" and i.relatedItem in [
j.id for j in data["items"]
if j.relatedLot == lot["id"]
]
]),
15,
) > 0.3 for lot in data["lots"]
]):
raise ValidationError(
u"Sum of max value of all features for lot should be less then or equal to 30%"
)
elif not data["lots"] and round(vnmax(features), 15) > 0.3:
raise ValidationError(
u"Sum of max value of all features should be less then or equal to 30%"
)
def validate_features(self, data, features):
if features and data['lots'] and any([
round(vnmax([
i
for i in features
if i.featureOf == 'tenderer' or i.featureOf == 'lot' and i.relatedItem == lot['id'] or i.featureOf == 'item' and i.relatedItem in [j.id for j in data['items'] if j.relatedLot == lot['id']]
]), 15) > 0.3
for lot in data['lots']
]):
raise ValidationError(u"Sum of max value of all features for lot should be less then or equal to 30%")
elif features and not data['lots'] and round(vnmax(features), 15) > 0.3:
raise ValidationError(u"Sum of max value of all features should be less then or equal to 30%")
def validate_features(self, data, features):
if features and data['lots'] and any([
round(vnmax([
i
for i in features
if i.featureOf == 'tenderer' or i.featureOf == 'lot' and i.relatedItem == lot['id'] or i.featureOf == 'item' and i.relatedItem in [j.id for j in data['items'] if j.relatedLot == lot['id']]
]), 15) > 0.3
for lot in data['lots']
]):
raise ValidationError(u"Sum of max value of all features for lot should be less then or equal to 30%")
elif features and not data['lots'] and round(vnmax(features), 15) > 0.3:
raise ValidationError(u"Sum of max value of all features should be less then or equal to 30%")
def validate_features_custom_weight(self, data, features, max_sum):
if features and data['lots'] and any([
round(vnmax([
i
for i in features
if i.featureOf == 'tenderer' or i.featureOf == 'lot' and i.relatedItem == lot['id'] or i.featureOf == 'item' and i.relatedItem in [j.id for j in data['items'] if j.relatedLot == lot['id']]
]), 15) > max_sum
for lot in data['lots']
]):
raise ValidationError(u"Sum of max value of all features for lot should be less then or equal to {:.0f}%".format(max_sum * 100))
elif features and not data['lots'] and round(vnmax(features), 15) > max_sum:
raise ValidationError(u"Sum of max value of all features should be less then or equal to {:.0f}%".format(max_sum * 100))
def validate_features_custom_weight(data, features, max_sum):
if features:
if data["lots"]:
if any([
round(
vnmax(
filter_features(
features, data["items"], lot_ids=[lot["id"]])),
15) > max_sum for lot in data["lots"]
]):
raise ValidationError(
"Sum of max value of all features for lot should be "
"less then or equal to {:.0f}%".format(max_sum * 100))
else:
if round(vnmax(features), 15) > max_sum:
raise ValidationError(
"Sum of max value of all features should be "
"less then or equal to {:.0f}%".format(max_sum * 100))
