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Schema validation

The simplest way to validate an instance under OAS schema is to use the validate function.

Validate

To validate an OpenAPI v3.1 schema:

from openapi_schema_validator import validate

# A sample schema
schema = {
    "type": "object",
    "required": [
       "name"
    ],
    "properties": {
        "name": {
            "type": "string"
        },
        "age": {
            "type": ["integer", "null"],
            "format": "int32",
            "minimum": 0,
        },
        "birth-date": {
            "type": "string",
            "format": "date",
        },
        "address": {
             "type": 'array',
             "prefixItems": [
                 { "type": "number" },
                 { "type": "string" },
                 { "enum": ["Street", "Avenue", "Boulevard"] },
                 { "enum": ["NW", "NE", "SW", "SE"] }
             ],
             "items": False,
         }
    },
    "additionalProperties": False,
}

# If no exception is raised by validate(), the instance is valid.
validate({"name": "John", "age": 23, "address": [1600, "Pennsylvania", "Avenue"]}, schema)

validate({"name": "John", "city": "London"}, schema)

Traceback (most recent call last):
    ...
ValidationError: Additional properties are not allowed ('city' was unexpected)

By default, the latest OpenAPI schema syntax is expected.

Validators

if you want to disambiguate the expected schema version, import and use OAS31Validator:

from openapi_schema_validator import OAS31Validator

validate({"name": "John", "age": 23}, schema, cls=OAS31Validator)

In order to validate OpenAPI 3.0 schema, import and use OAS30Validator instead of OAS31Validator.

from openapi_schema_validator import OAS30Validator

# A sample schema
schema = {
    "type": "object",
    "required": [
       "name"
    ],
    "properties": {
        "name": {
            "type": "string"
        },
        "age": {
            "type": "integer",
            "format": "int32",
            "minimum": 0,
            "nullable": True,
        },
        "birth-date": {
            "type": "string",
            "format": "date",
        }
    },
    "additionalProperties": False,
}

validate({"name": "John", "age": None}, schema, cls=OAS30Validator)

Read/write context

OpenAPI 3.0 schema comes with readOnly and writeOnly keywords. In order to validate read/write context in OpenAPI 3.0 schema, import and use OAS30ReadValidator or OAS30WriteValidator.

from openapi_schema_validator import OAS30WriteValidator

# A sample schema
schema = {
    "type": "object",
    "required": [
       "name"
    ],
    "properties": {
        "name": {
            "type": "string"
        },
        "age": {
            "type": "integer",
            "format": "int32",
            "minimum": 0,
            "readOnly": True,
        },
        "birth-date": {
            "type": "string",
            "format": "date",
        }
    },
    "additionalProperties": False,
}

validate({"name": "John", "age": 23}, schema, cls=OAS30WriteValidator)

Traceback (most recent call last):
    ...
ValidationError: Tried to write read-only property with 23

Strict vs Pragmatic Validators

OpenAPI 3.0 has two validator variants with different behaviors for binary format:

OAS30Validator (default - pragmatic)

  • Accepts Python bytes for type: string with format: binary
  • More lenient for Python use cases where binary data is common
  • Use when validating Python objects directly

OAS30StrictValidator

  • Follows OAS spec strictly: only accepts str for type: string
  • For format: binary, only accepts base64-encoded strings
  • Use when strict spec compliance is required

Comparison Matrix

Schema Value OAS30Validator (default) OAS30StrictValidator
type: string "test" (str) Pass Pass
type: string b"test" (bytes) Fail Fail
type: string, format: binary b"test" (bytes) Pass Fail
type: string, format: binary "dGVzdA==" (base64) Pass Pass
type: string, format: binary "test" (plain str) Pass Fail

Example usage:

from openapi_schema_validator import OAS30Validator, OAS30StrictValidator

# Pragmatic (default) - accepts bytes for binary format
validator = OAS30Validator({"type": "string", "format": "binary"})
validator.validate(b"binary data")  # passes

# Strict - follows spec precisely
validator = OAS30StrictValidator({"type": "string", "format": "binary"})
validator.validate(b"binary data")  # raises ValidationError