Пример #1
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 def test_boolean_type_validation(self):
     pyjsonschema.validate(False, {"type": "boolean"})
     pyjsonschema.validate(True, {"type": "boolean"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("true", {"type": "boolean"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(0, {"type": "boolean"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1, {"type": "boolean"})
Пример #2
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 def test_null_type_validation(self):
     pyjsonschema.validate(None, {"type": "null"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1, {"type": "null"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.2, {"type": "null"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("foo", {"type": "null"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate({}, {"type": "null"})
Пример #3
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 def test_instance_fields_not_declared_at_schema(self):
     instance = {"name": "Eggs", "alias": "huevos"}
     schema = {
         "type": "object",
         "properties": {
             "price": {
                 "type": "number"
             },
             "name": {
                 "type": "string"
             },
         },
     }
     pyjsonschema.validate(instance, schema)
Пример #4
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 def test_simple_success(self):
     instance = {"name": "Eggs", "price": 34.99}
     schema = {
         "type": "object",
         "properties": {
             "price": {
                 "type": "number"
             },
             "name": {
                 "type": "string"
             },
         },
     }
     pyjsonschema.validate(instance, schema)
Пример #5
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 def test_instance_fields_less_than_schema(self):
     instance = {"name": "Eggs"}
     schema = {
         "type": "object",
         "properties": {
             "price": {
                 "type": "number"
             },
             "name": {
                 "type": "string"
             },
         },
     }
     pyjsonschema.validate(instance, schema)
Пример #6
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 def test_product_validate_price_min(self):
     schema = {
         "$schema": "http://json-schema.org/draft-07/schema#",
         "$id": "http://example.com/product.schema.json",
         "title": "Product",
         "description": "A product from Acme's catalog",
         "type": "object",
         "properties": {
             "productId": {
                 "description": "The unique identifier for a product",
                 "type": "integer"
             },
             "productName": {
                 "description": "Name of the product",
                 "type": "string"
             },
             "price": {
                 "description": "The price of the product",
                 "type": "number",
                 "exclusiveMinimum": 0
             }
         },
         "required": ["productId", "productName", "price"]
     }
     try:
         pyjsonschema.validate(
             {
                 "productId": 1,
                 "productName": "A green door",
                 "price": -1,
                 "tags": ["home", "green"]
             }, schema)
     except pyjsonschema.ValidationError as ve:
         self.assertEqual('-1 should be bigger than 0', ve.message)
     else:
         self.fail('Price is not bigger than 0')
     try:
         pyjsonschema.validate(
             {
                 "productId": 1,
                 "productName": "A green door",
                 "price": 0,
                 "tags": ["home", "green"]
             }, schema)
     except pyjsonschema.ValidationError as ve:
         self.assertEqual('0 should be bigger than 0', ve.message)
     else:
         self.fail('Price is not bigger than 0')
Пример #7
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 def test_simple_failure(self):
     instance = {"name": "Eggs", "price": "Invalid"}
     schema = {
         "type": "object",
         "properties": {
             "price": {
                 "type": "number"
             },
             "name": {
                 "type": "string"
             },
         },
     }
     try:
         pyjsonschema.validate(instance, schema)
     except pyjsonschema.ValidationError as ve:
         self.assertEqual("Invalid is not of type 'number'", ve.message)
     else:
         self.fail("Price value is not a number")
Пример #8
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    def test_product_validate(self):
        instance = {
            "productId": 1,
            "productName": "A green door",
            "price": 12.50,
            "free_ship": True,
            "tags": ["home", "green"]
        }
        pyjsonschema.validate(
            instance, {
                "$schema": "http://json-schema.org/draft-07/schema#",
                "$id": "http://example.com/product.schema.json",
                "title": "Product",
                "description": "A product in the catalog",
                "type": "object"
            })

        pyjsonschema.validate(
            instance, {
                "$schema": "http://json-schema.org/draft-07/schema#",
                "$id": "http://example.com/product.schema.json",
                "title": "Product",
                "description": "A product from Acme's catalog",
                "type": "object",
                "properties": {
                    "productId": {
                        "description": "The unique identifier for a product",
                        "type": "integer"
                    }
                },
                "required": ["productId"]
            })

        pyjsonschema.validate(
            instance, {
                "$schema": "http://json-schema.org/draft-07/schema#",
                "$id": "http://example.com/product.schema.json",
                "title": "Product",
                "description": "A product from Acme's catalog",
                "type": "object",
                "properties": {
                    "productId": {
                        "description": "The unique identifier for a product",
                        "type": "integer"
                    },
                    "productName": {
                        "description": "Name of the product",
                        "type": "string"
                    }
                },
                "required": ["productId", "productName"]
            })
Пример #9
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 def test_number_type_validation(self):
     pyjsonschema.validate(2, {"type": "number"})
     pyjsonschema.validate(-38, {"type": "number"})
     pyjsonschema.validate(1.5, {"type": "number"})
     pyjsonschema.validate(-4.5, {"type": "number"})
     pyjsonschema.validate(1.0, {"type": "number", "multipleOf": 1.0})
     pyjsonschema.validate(1.5, {"type": "number", "minimum": 1.1})
     pyjsonschema.validate(1.1, {"type": "number", "minimum": 1.1})
     pyjsonschema.validate(1.5, {"type": "number", "exclusiveMinimum": 1.1})
     pyjsonschema.validate(2.4, {"type": "number", "maximum": 2.5})
     pyjsonschema.validate(2.5, {"type": "number", "maximum": 2.5})
     pyjsonschema.validate(2.4, {"type": "number", "exclusiveMaximum": 2.5})
     # FIXME this is a bug
     # with self.assertRaises(pyjsonschema.ValidationError):
     #   pyjsonschema.validate([], {"type": "number"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate({}, {"type": "number"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(True, {"type": "number"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(None, {"type": "number"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("1.5", {"type": "number"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.5, {"type": "number", "multipleOf": 1.0})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.0, {"type": "number", "minimum": 1.1})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.0, {
             "type": "number",
             "exclusiveMinimum": 1.1
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.1, {
             "type": "number",
             "exclusiveMinimum": 1.1
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(2.6, {"type": "number", "maximum": 2.5})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(2.5, {
             "type": "number",
             "exclusiveMaximum": 2.5
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(2.6, {
             "type": "number",
             "exclusiveMaximum": 2.5
         })
Пример #10
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 def test_failure_types_validation(self):
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(True, {"type": "object"})
Пример #11
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 def test_successful_types_validation(self):
     pyjsonschema.validate({}, {"type": "object"})
     pyjsonschema.validate([], {"type": "array"})
Пример #12
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 def test_multiple_types_validation(self):
     pyjsonschema.validate(42, {"type": ["number", "string"]})
     pyjsonschema.validate("Life, the universe, and everything",
                           {"type": ["number", "string"]})
Пример #13
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 def test_string_type_validation(self):
     pyjsonschema.validate("", {"type": "string"})
     pyjsonschema.validate("Déjà vu", {"type": "string"})
     pyjsonschema.validate("(888)555-1212", {
         "type": "string",
         "pattern": "^(\\([0-9]{3}\\))?[0-9]{3}-[0-9]{4}$"
     })
     pyjsonschema.validate(
         "2019-11-30", {
             "type": "string",
             "pattern": "^(\d+)-(0[1-9]|1[012])-(0[1-9]|[12]\d|3[01])$"
         })
     pyjsonschema.validate(
         "2019-11-22T19:05:12.000+0000", {
             "type":
             "string",
             "pattern":
             "^(\d+)-(0[1-9]|1[012])-(0[1-9]|[12]\d|3[01])[\s,T]([01]\d|2[0-3]):([0-5]\d):([0-5]\d|60)(\.\d+)?(([Zz])|([\+|\-]([01]\d\d\d|2[0-3])))$"
         })
     pyjsonschema.validate(
         "2019-11-22T19:05:12.000z", {
             "type":
             "string",
             "pattern":
             "^(\d+)-(0[1-9]|1[012])-(0[1-9]|[12]\d|3[01])[\s,T]([01]\d|2[0-3]):([0-5]\d):([0-5]\d|60)(\.\d+)?(([Zz])|([\+|\-]([01]\d\d\d|2[0-3])))$"
         })
     pyjsonschema.validate("42", {"type": "string"})
     pyjsonschema.validate("hi", {"type": "string"})
     pyjsonschema.validate("hi", {"type": "string", "minLength": 2})
     pyjsonschema.validate("Hello, World", {
         "type": "string",
         "minLength": 2
     })
     pyjsonschema.validate("hi", {"type": "string", "maxLength": 5})
     pyjsonschema.validate("Hello", {"type": "string", "maxLength": 5})
     pyjsonschema.validate("Hello", {
         "type": "string",
         "minLength": 2,
         "maxLength": 5
     })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate({}, {"type": "string"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(
             "(800)FLOWERS", {
                 "type": "string",
                 "pattern": "^(\\([0-9]{3}\\))?[0-9]{3}-[0-9]{4}$"
             })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(
             "2019/30/30", {
                 "type": "string",
                 "pattern": "^(\d+)-(0[1-9]|1[012])-(0[1-9]|[12]\d|3[01])$"
             })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(
             "2019-11-22T19:05:12.000+0000Z", {
                 "type":
                 "string",
                 "pattern":
                 "^(\d+)-(0[1-9]|1[012])-(0[1-9]|[12]\d|3[01])[\s,T]([01]\d|2[0-3]):([0-5]\d):([0-5]\d|60)(\.\d+)?(([Zz])|([\+|\-]([01]\d\d\d|2[0-3])))$"
             })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(42, {"type": "string"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(None, {"type": "string"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("H", {"type": "string", "minLength": 2})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("Hello, World", {
             "type": "string",
             "maxLength": 2
         })
Пример #14
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 def test_integer_type_validation(self):
     pyjsonschema.validate(2, {"type": "integer"})
     pyjsonschema.validate(-38, {"type": "integer"})
     pyjsonschema.validate(40, {"type": "integer", "multipleOf": 4})
     pyjsonschema.validate(1, {"type": "integer", "minimum": 1})
     pyjsonschema.validate(11, {"type": "integer", "minimum": 1})
     pyjsonschema.validate(5, {"type": "integer", "exclusiveMinimum": 1})
     pyjsonschema.validate(4, {"type": "integer", "maximum": 5})
     pyjsonschema.validate(5, {"type": "integer", "maximum": 5})
     pyjsonschema.validate(4, {"type": "integer", "exclusiveMaximum": 5})
     # FIXME this is a bug
     # with self.assertRaises(pyjsonschema.ValidationError):
     #   pyjsonschema.validate([], {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate({}, {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(True, {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(None, {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate("1.5", {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1.5, {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(-6.5, {"type": "integer"})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(5, {"type": "integer", "multipleOf": 2})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(-1, {"type": "integer", "minimum": 0})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(0, {
             "type": "integer",
             "exclusiveMinimum": 0
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(1, {
             "type": "integer",
             "exclusiveMinimum": 1
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(6, {"type": "integer", "maximum": 5})
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(5, {
             "type": "integer",
             "exclusiveMaximum": 5
         })
     with self.assertRaises(pyjsonschema.ValidationError):
         pyjsonschema.validate(6, {
             "type": "integer",
             "exclusiveMaximum": 5
         })