Python schema.validate函数代码示例

def _validate_runner(runner_schema, result):
    LOG.debug('Validating runner output: %s', runner_schema)

    runner_schema = {
        "type": "object",
        "properties": runner_schema,
        "additionalProperties": False
    }

    schema.validate(result, runner_schema, cls=schema.get_validator('custom'))

    def test_allow_default_explicit_none(self):
        # Explicitly pass None to arguments
        instance = {
            'arg_optional_default': None,
            'arg_optional_default_none': None,
            'arg_optional_no_default': None
        }

        validator = util_schema.get_validator()
        util_schema.validate(instance=instance, schema=TEST_SCHEMA_3, cls=validator,
                             use_default=True, allow_default_none=True)

def _validate_action(action_schema, result, output_key):
    LOG.debug('Validating action output: %s', action_schema)

    final_result = result[output_key]

    action_schema = {
        "type": "object",
        "properties": action_schema,
        "additionalProperties": False
    }

    schema.validate(final_result, action_schema, cls=schema.get_validator('custom'))

    def __init__(self, **kw):
        util_schema.validate(instance=kw, schema=self.schema, cls=util_schema.CustomValidator,
                             use_default=False, allow_default_none=True)

        for prop in six.iterkeys(self.schema.get('properties', [])):
            value = kw.get(prop, None)
            # special handling for chain property to create the Node object
            if prop == 'chain':
                nodes = []
                for node in value:
                    nodes.append(Node(**node))
                value = nodes
            setattr(self, prop, value)

def validate_config_against_schema(config_schema, config_object, config_path,
                                  pack_name=None):
    """
    Validate provided config dictionary against the provided config schema
    dictionary.
    """
    # NOTE: Lazy improt to avoid performance overhead of importing this module when it's not used
    import jsonschema

    pack_name = pack_name or 'unknown'

    schema = util_schema.get_schema_for_resource_parameters(parameters_schema=config_schema,
                                                            allow_additional_properties=True)
    instance = config_object

    try:
        cleaned = util_schema.validate(instance=instance, schema=schema,
                                       cls=util_schema.CustomValidator, use_default=True,
                                       allow_default_none=True)
    except jsonschema.ValidationError as e:
        attribute = getattr(e, 'path', [])

        if isinstance(attribute, (tuple, list, collections.Iterable)):
            attribute = [str(item) for item in attribute]
            attribute = '.'.join(attribute)
        else:
            attribute = str(attribute)

        msg = ('Failed validating attribute "%s" in config for pack "%s" (%s): %s' %
               (attribute, pack_name, config_path, six.text_type(e)))
        raise jsonschema.ValidationError(msg)

    return cleaned

    def _validate_config_values_against_schema(self):
        try:
            config_schema_db = ConfigSchema.get_by_pack(value=self.pack)
        except StackStormDBObjectNotFoundError:
            # Config schema is optional
            return

        # Note: We are doing optional validation so for now, we do allow additional properties
        instance = self.values or {}
        schema = config_schema_db.attributes
        schema = util_schema.get_schema_for_resource_parameters(parameters_schema=schema,
                                                                allow_additional_properties=True)

        try:
            cleaned = util_schema.validate(instance=instance, schema=schema,
                                           cls=util_schema.CustomValidator, use_default=True,
                                           allow_default_none=True)
        except jsonschema.ValidationError as e:
            attribute = getattr(e, 'path', [])
            attribute = '.'.join(attribute)
            configs_path = os.path.join(cfg.CONF.system.base_path, 'configs/')
            config_path = os.path.join(configs_path, '%s.yaml' % (self.pack))

            msg = ('Failed validating attribute "%s" in config for pack "%s" (%s): %s' %
                   (attribute, self.pack, config_path, str(e)))
            raise jsonschema.ValidationError(msg)

        return cleaned

def validate_trigger_parameters(trigger_type_ref, parameters):
    """
    This function validates parameters for system triggers (e.g. webhook and timers).

    Note: Eventually we should also validate parameters for user defined triggers which correctly
    specify JSON schema for the parameters.

    :param trigger_type_ref: Reference of a trigger type.
    :type trigger_type_ref: ``str``

    :param parameters: Trigger parameters.
    :type parameters: ``dict``
    """
    if not trigger_type_ref:
        return None

    if trigger_type_ref not in SYSTEM_TRIGGER_TYPES:
        # Not a system trigger, skip validation for now
        return None

    parameters_schema = SYSTEM_TRIGGER_TYPES[trigger_type_ref]['parameters_schema']
    cleaned = util_schema.validate(instance=parameters, schema=parameters_schema,
                                   cls=util_schema.CustomValidator, use_default=True,
                                   allow_default_none=True)

    # Additional validation for CronTimer trigger
    # TODO: If we need to add more checks like this we should consider abstracting this out.
    if trigger_type_ref == CRON_TIMER_TRIGGER_REF:
        # Validate that the user provided parameters are valid. This is required since JSON schema
        # allows arbitrary strings, but not any arbitrary string is a valid CronTrigger argument
        # Note: Constructor throws ValueError on invalid parameters
        CronTrigger(**parameters)

    return cleaned

def validate_trigger_parameters(trigger_type_ref, parameters):
    """
    This function validates parameters for system triggers (e.g. webhook and timers).

    Note: Eventually we should also validate parameters for user defined triggers which correctly
    specify JSON schema for the parameters.

    :param trigger_type_ref: Reference of a trigger type.
    :type trigger_type_ref: ``str``

    :param parameters: Trigger parameters.
    :type parameters: ``dict``
    """
    if not trigger_type_ref:
        return None

    if trigger_type_ref not in SYSTEM_TRIGGER_TYPES:
        # Not a system trigger, skip validation for now
        return None

    parameters_schema = SYSTEM_TRIGGER_TYPES[trigger_type_ref]['parameters_schema']
    cleaned = util_schema.validate(instance=parameters, schema=parameters_schema,
                                   cls=util_schema.CustomValidator, use_default=True,
                                   allow_default_none=True)
    return cleaned

def validate_response(inquiry, response):
    schema = inquiry.schema

    LOG.debug('Validating inquiry response: %s against schema: %s' % (response, schema))

    try:
        schema_utils.validate(
            instance=response,
            schema=schema,
            cls=schema_utils.CustomValidator,
            use_default=True,
            allow_default_none=True
        )
    except Exception as e:
        msg = 'Response for inquiry "%s" did not pass schema validation.'
        LOG.exception(msg % str(inquiry.id))
        raise inquiry_exceptions.InvalidInquiryResponse(str(inquiry.id), six.text_type(e))

    def _add_job_to_scheduler(self, trigger):
        trigger_type_ref = trigger['type']
        trigger_type = TIMER_TRIGGER_TYPES[trigger_type_ref]
        try:
            util_schema.validate(instance=trigger['parameters'],
                                 schema=trigger_type['parameters_schema'],
                                 cls=util_schema.CustomValidator,
                                 use_default=True,
                                 allow_default_none=True)
        except jsonschema.ValidationError as e:
            LOG.error('Exception scheduling timer: %s, %s',
                      trigger['parameters'], e, exc_info=True)
            raise  # Or should we just return?

        time_spec = trigger['parameters']
        time_zone = aps_utils.astimezone(trigger['parameters'].get('timezone'))

        time_type = None

        if trigger_type['name'] == 'st2.IntervalTimer':
            unit = time_spec.get('unit', None)
            value = time_spec.get('delta', None)
            time_type = IntervalTrigger(**{unit: value, 'timezone': time_zone})
        elif trigger_type['name'] == 'st2.DateTimer':
            # Raises an exception if date string isn't a valid one.
            dat = date_parser.parse(time_spec.get('date', None))
            time_type = DateTrigger(dat, timezone=time_zone)
        elif trigger_type['name'] == 'st2.CronTimer':
            cron = time_spec.copy()
            cron['timezone'] = time_zone

            time_type = CronTrigger(**cron)

        utc_now = date_utils.get_datetime_utc_now()
        if hasattr(time_type, 'run_date') and utc_now > time_type.run_date:
            LOG.warning('Not scheduling expired timer: %s : %s',
                        trigger['parameters'], time_type.run_date)
        else:
            self._add_job(trigger, time_type)
        return time_type

    def test_use_default_value(self):
        # No default, no value provided, should fail
        instance = {}
        validator = util_schema.get_validator()

        expected_msg = '\'cmd_no_default\' is a required property'
        self.assertRaisesRegexp(ValidationError, expected_msg, util_schema.validate,
                                instance=instance, schema=TEST_SCHEMA_1, cls=validator,
                                use_default=True)

        # No default, value provided
        instance = {'cmd_no_default': 'foo'}
        util_schema.validate(instance=instance, schema=TEST_SCHEMA_1, cls=validator,
                             use_default=True)

        # default value provided, no value, should pass
        instance = {}
        validator = util_schema.get_validator()
        util_schema.validate(instance=instance, schema=TEST_SCHEMA_2, cls=validator,
                             use_default=True)

        # default value provided, value provided, should pass
        instance = {'cmd_default': 'foo'}
        validator = util_schema.get_validator()
        util_schema.validate(instance=instance, schema=TEST_SCHEMA_2, cls=validator,
                             use_default=True)

def validate_trigger_parameters(trigger_type_ref, parameters):
    """
    This function validates parameters for system and user-defined triggers.

    :param trigger_type_ref: Reference of a trigger type.
    :type trigger_type_ref: ``str``

    :param parameters: Trigger parameters.
    :type parameters: ``dict``

    :return: Cleaned parameters on success, None if validation is not performed.
    """
    if not trigger_type_ref:
        return None

    is_system_trigger = trigger_type_ref in SYSTEM_TRIGGER_TYPES
    if is_system_trigger:
        # System trigger
        parameters_schema = SYSTEM_TRIGGER_TYPES[trigger_type_ref]['parameters_schema']
    else:
        trigger_type_db = triggers.get_trigger_type_db(trigger_type_ref)
        if not trigger_type_db:
            # Trigger doesn't exist in the database
            return None

        parameters_schema = getattr(trigger_type_db, 'parameters_schema', {})
        if not parameters_schema:
            # Parameters schema not defined for the this trigger
            return None

    # We only validate non-system triggers if config option is set (enabled)
    if not is_system_trigger and not cfg.CONF.system.validate_trigger_parameters:
        LOG.debug('Got non-system trigger "%s", but trigger parameter validation for non-system'
                  'triggers is disabled, skipping validation.' % (trigger_type_ref))
        return None

    cleaned = util_schema.validate(instance=parameters, schema=parameters_schema,
                                   cls=util_schema.CustomValidator, use_default=True,
                                   allow_default_none=True)

    # Additional validation for CronTimer trigger
    # TODO: If we need to add more checks like this we should consider abstracting this out.
    if trigger_type_ref == CRON_TIMER_TRIGGER_REF:
        # Validate that the user provided parameters are valid. This is required since JSON schema
        # allows arbitrary strings, but not any arbitrary string is a valid CronTrigger argument
        # Note: Constructor throws ValueError on invalid parameters
        CronTrigger(**parameters)

    return cleaned

    def validate(self):
        """
        Perform validation and return cleaned object on success.

        Note: This method doesn't mutate this object in place, but it returns a new one.

        :return: Cleaned / validated object.
        """
        schema = getattr(self, "schema", {})
        attributes = vars(self)

        cleaned = util_schema.validate(
            instance=attributes, schema=schema, cls=util_schema.CustomValidator, use_default=True
        )

        return self.__class__(**cleaned)

    def validate(self):
        """
        Perform validation and return cleaned object on success.

        Note: This method doesn't mutate this object in place, but it returns a new one.

        :return: Cleaned / validated object.
        """
        schema = getattr(self, 'schema', {})
        attributes = vars(self)

        cleaned = util_schema.validate(instance=attributes, schema=schema,
                                       cls=util_schema.CustomValidator, use_default=True,
                                       allow_default_none=True)

        # Note: We use type() instead of self.__class__ since self.__class__ confuses pylint
        return type(self)(**cleaned)

    def validate(self):
        # Validate policy itself
        cleaned = super(PolicyAPI, self).validate()

        # Validate policy parameters
        policy_type_db = PolicyType.get_by_ref(cleaned.policy_type)
        if not policy_type_db:
            raise ValueError('Referenced policy_type "%s" doesnt exist' % (cleaned.policy_type))

        parameters_schema = policy_type_db.parameters
        parameters = getattr(cleaned, 'parameters', {})
        schema = util_schema.get_schema_for_resource_parameters(
            parameters_schema=parameters_schema)
        validator = util_schema.get_validator()
        cleaned_parameters = util_schema.validate(parameters, schema, validator, use_default=True,
                                                  allow_default_none=True)

        cleaned.parameters = cleaned_parameters

        return cleaned