class _ProductProjectionsBaseSchema(Schema, abstract.RemoveEmptyValuesMixin):
sort = helpers.OptionalList(fields.String())
limit = fields.Int()
offset = fields.Int()
staged = fields.Bool(data_key="staged", required=False, missing=False)
price_currency = fields.String(data_key="priceCurrency")
price_country = fields.String(data_key="priceCountry")
price_customer_group = fields.UUID(data_key="priceCustomerGroup")
price_channel = fields.UUID(data_key="priceChannel")
class ProductProjectionsSearchSchema(ProductProjectionsBaseSchema):
text = fields.Method("text_serialize")
fuzzy = fields.Bool()
fuzzy_level = fields.Integer(data_key="fuzzy.level")
filter = helpers.OptionalList(fields.String())
filter_query = helpers.OptionalList(fields.String(),
data_key="filter.query")
filter_facets = helpers.OptionalList(fields.String(),
data_key="filter.facets")
facet = helpers.OptionalList(fields.String())
mark_matching_variants = fields.Bool(data_key="markMatchingVariants")
def text_serialize(self, value):
result = {}
data = value.get("text") or {}
for k, v in data.items():
result[f"text.{k}"] = v
return result
@post_dump
def merge_text(self, data, **kwargs):
value = data.pop("text")
data.update(value)
return data
class Dummy(Schema):
items = helpers.OptionalList(fields.String())
class ProductProjectionsQuerySchema(_ProductProjectionsBaseSchema):
where = helpers.OptionalList(fields.String())
expand = helpers.OptionalList(fields.String())