目前,我正在使用棉花糖模式来验证请求, 我有一个列表,我需要验证它的内容。
class PostValidationSchema(Schema):
checks = fields.List(
fields.String(required=True)
)
checks字段是一个列表,它仅应包含以下特定值["booking", "reservation", "flight"]
答案 0 :(得分:3)
如果您要检查列表中只有该三个元素的顺序,请使用Equal
验证程序。
from marshmallow import Schema, fields, validate
class PostValidationSchema(Schema):
checks = fields.List(
fields.String(required=True),
validate=validate.Equal(["booking", "reservation", "flight"])
)
schema = PostValidationSchema()
schema.load({"checks": ["booking", "reservation", "flight"]}) # OK
schema.load({"checks": ["booking", "reservation"]}) # ValidationError
如果列表可以包含任意数量的元素,而这些元素只能是这三个特定值之一,则使用OneOf
验证器。
from marshmallow import Schema, fields, validate
class PostValidationSchema(Schema):
checks = fields.List(
fields.String(
required=True,
validate=validate.OneOf(["booking", "reservation", "flight"])
),
)
schema = PostValidationSchema()
schema.load({"checks": ["booking", "reservation", "flight"]}) # OK
schema.load({"checks": ["booking", "reservation"]}) # OK
schema.load({"checks": ["booking", "dummy"]}) # ValidationError
答案 1 :(得分:1)
除了Jerome的答案,我还发现,如果您需要做一些需要更多逻辑的事情,那么您可以这样做:
def validate_check(check: str):
return check in ["booking", "reservation", "flight"]
class PostValidationSchema(Schema):
checks = fields.List(
fields.String(required=True, validate=validate_check)
)
或使用lambda:
class PostValidationSchema(Schema):
checks = fields.List(
fields.String(required=True, validate=lambda check: check in ["booking", "reservation", "flight"])
)