Module aws_lambda_powertools.utilities.feature_flags.schema

Classes

class ConditionsValidator (rule: Dict[str, Any], rule_name: str, logger: Optional[Union[logging.Logger, Logger]] = None)

Helper class that provides a standard way to create an ABC using inheritance.

Expand source code

class ConditionsValidator(BaseValidator):
    def __init__(self, rule: Dict[str, Any], rule_name: str, logger: Optional[Union[logging.Logger, Logger]] = None):
        self.conditions: List[Dict[str, Any]] = rule.get(CONDITIONS_KEY, {})
        self.rule_name = rule_name
        self.logger = logger or LOGGER

    def validate(self):
        if not self.conditions or not isinstance(self.conditions, list):
            self.logger.debug(f"Condition is empty or invalid for rule={self.rule_name}")
            raise SchemaValidationError(f"Invalid condition, rule={self.rule_name}")

        for condition in self.conditions:
            # Condition can contain PII data; do not log condition value
            self.logger.debug(f"Attempting to validate condition for {self.rule_name}")
            self.validate_condition(rule_name=self.rule_name, condition=condition)

    @staticmethod
    def validate_condition(rule_name: str, condition: Dict[str, str]) -> None:
        if not condition or not isinstance(condition, dict):
            raise SchemaValidationError(f"Feature rule condition must be a dictionary, rule={rule_name}")

        ConditionsValidator.validate_condition_action(condition=condition, rule_name=rule_name)
        ConditionsValidator.validate_condition_key(condition=condition, rule_name=rule_name)
        ConditionsValidator.validate_condition_value(condition=condition, rule_name=rule_name)

    @staticmethod
    def validate_condition_action(condition: Dict[str, Any], rule_name: str):
        action = condition.get(CONDITION_ACTION, "")
        if action not in RuleAction.__members__:
            allowed_values = [_action.value for _action in RuleAction]
            raise SchemaValidationError(
                f"'action' value must be either {allowed_values}, rule_name={rule_name}, action={action}",
            )

    @staticmethod
    def validate_condition_key(condition: Dict[str, Any], rule_name: str):
        key = condition.get(CONDITION_KEY, "")
        if not key or not isinstance(key, str):
            raise SchemaValidationError(f"'key' value must be a non empty string, rule={rule_name}")

        action = condition.get(CONDITION_ACTION, "")

        # To allow for growth and prevent if/elif chains, we align extra validators based on the action name.
        # for example:
        #
        # SCHEDULE_BETWEEN_DAYS_OF_WEEK_KEY
        # - extra validation: `_validate_schedule_between_days_of_week_key`
        #
        # maintenance: we should split to separate file/classes for better organization, e.g., visitor pattern.

        custom_validator = getattr(ConditionsValidator, f"_validate_{action.lower()}_key", None)

        # ~90% of actions available don't require a custom validator
        # logging a debug statement for no-match will increase CPU cycles for most customers
        # for that reason only, we invert and log only when extra validation is found.
        if custom_validator is None:
            return

        LOGGER.debug(f"{action} requires key validation. Running '{custom_validator}' validator.")
        custom_validator(key, rule_name)

    @staticmethod
    def validate_condition_value(condition: Dict[str, Any], rule_name: str):
        value = condition.get(CONDITION_VALUE)
        if value is None:
            raise SchemaValidationError(f"'value' key must not be null, rule={rule_name}")
        action = condition.get(CONDITION_ACTION, "")

        # To allow for growth and prevent if/elif chains, we align extra validators based on the action name.
        # for example:
        #
        # SCHEDULE_BETWEEN_DAYS_OF_WEEK_KEY
        # - extra validation: `_validate_schedule_between_days_of_week_value`
        #
        # maintenance: we should split to separate file/classes for better organization, e.g., visitor pattern.

        custom_validator = getattr(ConditionsValidator, f"_validate_{action.lower()}_value", None)

        # ~90% of actions available don't require a custom validator
        # logging a debug statement for no-match will increase CPU cycles for most customers
        # for that reason only, we invert and log only when extra validation is found.
        if custom_validator is None:
            return

        LOGGER.debug(f"{action} requires value validation. Running '{custom_validator}' validator.")

        custom_validator(value, rule_name)

    @staticmethod
    def _validate_schedule_between_days_of_week_key(key: str, rule_name: str):
        if key != TimeKeys.CURRENT_DAY_OF_WEEK.value:
            raise SchemaValidationError(
                f"'condition with a 'SCHEDULE_BETWEEN_DAYS_OF_WEEK' action must have a 'CURRENT_DAY_OF_WEEK' condition key, rule={rule_name}",  # noqa: E501
            )

    @staticmethod
    def _validate_schedule_between_days_of_week_value(value: dict, rule_name: str):
        error_str = f"condition with a CURRENT_DAY_OF_WEEK action must have a condition value dictionary with 'DAYS' and 'TIMEZONE' (optional) keys, rule={rule_name}"  # noqa: E501
        if not isinstance(value, dict):
            raise SchemaValidationError(error_str)

        days = value.get(TimeValues.DAYS.value)
        if not isinstance(days, list) or not value:
            raise SchemaValidationError(error_str)

        valid_days = TimeValues.days()
        for day in days:
            if not isinstance(day, str) or day not in valid_days:
                raise SchemaValidationError(
                    f"condition value DAYS must represent a day of the week in 'TimeValues' enum, rule={rule_name}",
                )

        ConditionsValidator._validate_timezone(timezone=value.get(TimeValues.TIMEZONE.value), rule=rule_name)

    @staticmethod
    def _validate_schedule_between_time_range_key(key: str, rule_name: str):
        if key != TimeKeys.CURRENT_TIME.value:
            raise SchemaValidationError(
                f"'condition with a 'SCHEDULE_BETWEEN_TIME_RANGE' action must have a 'CURRENT_TIME' condition key, rule={rule_name}",  # noqa: E501
            )

    @staticmethod
    def _validate_schedule_between_time_range_value(value: Dict, rule_name: str):
        if not isinstance(value, dict):
            raise SchemaValidationError(
                f"{RuleAction.SCHEDULE_BETWEEN_TIME_RANGE.value} action must have a dictionary with 'START' and 'END' keys, rule={rule_name}",  # noqa: E501
            )

        start_time = value.get(TimeValues.START.value, "")
        end_time = value.get(TimeValues.END.value, "")

        if not isinstance(start_time, str) or not isinstance(end_time, str):
            raise SchemaValidationError(f"'START' and 'END' must be a non empty string, rule={rule_name}")

        # Using a regex instead of strptime because it's several orders of magnitude faster
        if not TIME_RANGE_PATTERN.match(start_time) or not TIME_RANGE_PATTERN.match(end_time):
            raise SchemaValidationError(
                f"'START' and 'END' must be a valid time format, time_format={TIME_RANGE_FORMAT}, rule={rule_name}",
            )

        ConditionsValidator._validate_timezone(timezone=value.get(TimeValues.TIMEZONE.value), rule=rule_name)

    @staticmethod
    def _validate_schedule_between_datetime_range_key(key: str, rule_name: str):
        if key != TimeKeys.CURRENT_DATETIME.value:
            raise SchemaValidationError(
                f"'condition with a 'SCHEDULE_BETWEEN_DATETIME_RANGE' action must have a 'CURRENT_DATETIME' condition key, rule={rule_name}",  # noqa: E501
            )

    @staticmethod
    def _validate_schedule_between_datetime_range_value(value: dict, rule_name: str):
        if not isinstance(value, dict):
            raise SchemaValidationError(
                f"{RuleAction.SCHEDULE_BETWEEN_DATETIME_RANGE.value} action must have a dictionary with 'START' and 'END' keys, rule={rule_name}",  # noqa: E501
            )

        start_time = value.get(TimeValues.START.value, "")
        end_time = value.get(TimeValues.END.value, "")

        if not isinstance(start_time, str) or not isinstance(end_time, str):
            raise SchemaValidationError(f"'START' and 'END' must be a non empty string, rule={rule_name}")

        ConditionsValidator._validate_datetime(start_time, rule_name)
        ConditionsValidator._validate_datetime(end_time, rule_name)
        ConditionsValidator._validate_timezone(timezone=value.get(TimeValues.TIMEZONE.value), rule=rule_name)

    @staticmethod
    def _validate_modulo_range_value(value: dict, rule_name: str):
        error_str = f"condition with a 'MODULO_RANGE' action must have a condition value type dictionary with 'BASE', 'START' and 'END' keys, rule={rule_name}"  # noqa: E501
        if not isinstance(value, dict):
            raise SchemaValidationError(error_str)

        base = value.get(ModuloRangeValues.BASE.value)
        start = value.get(ModuloRangeValues.START.value)
        end = value.get(ModuloRangeValues.END.value)

        if base is None or start is None or end is None:
            raise SchemaValidationError(error_str)

        if not isinstance(base, int) or not isinstance(start, int) or not isinstance(end, int):
            raise SchemaValidationError(f"'BASE', 'START' and 'END' must be integers, rule={rule_name}")

        if not 0 <= start <= end <= base - 1:
            raise SchemaValidationError(
                f"condition with 'MODULO_RANGE' action must satisfy 0 <= START <= END <= BASE-1, rule={rule_name}",
            )

    @staticmethod
    def _validate_all_in_value_value(value: list, rule_name: str):
        if not (isinstance(value, list)):
            raise SchemaValidationError(f"ALL_IN_VALUE action must have a list value, rule={rule_name}")

    @staticmethod
    def _validate_any_in_value_value(value: list, rule_name: str):
        if not (isinstance(value, list)):
            raise SchemaValidationError(f"ANY_IN_VALUE action must have a list value, rule={rule_name}")

    @staticmethod
    def _validate_none_in_value_value(value: list, rule_name: str):
        if not (isinstance(value, list)):
            raise SchemaValidationError(f"NONE_IN_VALUE action must have a list value, rule={rule_name}")

    @staticmethod
    def _validate_datetime(datetime_str: str, rule_name: str):
        date = None

        # We try to parse first with timezone information in order to return the correct error messages
        # when a timestamp with timezone is used. Otherwise, the user would get the first error "must be a valid
        # ISO8601 time format" which is misleading

        try:
            # python < 3.11 don't support the Z timezone on datetime.fromisoformat,
            # so we replace any Z with the equivalent "+00:00"
            # datetime.fromisoformat is orders of magnitude faster than datetime.strptime
            date = datetime.fromisoformat(datetime_str.replace("Z", "+00:00"))
        except Exception:
            raise SchemaValidationError(f"'START' and 'END' must be a valid ISO8601 time format, rule={rule_name}")

        # we only allow timezone information to be set via the TIMEZONE field
        # this way we can encode DST into the calculation. For instance, Copenhagen is
        # UTC+2 during winter, and UTC+1 during summer, which would be impossible to define
        # using a single ISO datetime string
        if date.tzinfo is not None:
            raise SchemaValidationError(
                "'START' and 'END' must not include timezone information. Set the timezone using the 'TIMEZONE' "
                f"field, rule={rule_name} ",
            )

    @staticmethod
    def _validate_timezone(rule: str, timezone: str | None = None):
        timezone = timezone or "UTC"

        if not isinstance(timezone, str):
            raise SchemaValidationError(f"'TIMEZONE' must be a string, rule={str}")

        # try to see if the timezone string corresponds to any known timezone
        if not tz.gettz(timezone):
            raise SchemaValidationError(f"'TIMEZONE' value must represent a valid IANA timezone, rule={rule}")

Ancestors

• BaseValidator
• abc.ABC

Static methods

def validate_condition(rule_name: str, condition: Dict[str, str]) ‑> None

def validate_condition_action(condition: Dict[str, Any], rule_name: str)

def validate_condition_key(condition: Dict[str, Any], rule_name: str)

def validate_condition_value(condition: Dict[str, Any], rule_name: str)

Methods

def validate(self)

class FeaturesValidator (schema: Dict, logger: Optional[Union[logging.Logger, Logger]] = None)

Validates each feature and calls RulesValidator to validate its rules

Expand source code

class FeaturesValidator(BaseValidator):
    """Validates each feature and calls RulesValidator to validate its rules"""

    def __init__(self, schema: Dict, logger: Optional[Union[logging.Logger, Logger]] = None):
        self.schema = schema
        self.logger = logger or LOGGER

    def validate(self):
        for name, feature in self.schema.items():
            self.logger.debug(f"Attempting to validate feature '{name}'")
            boolean_feature: bool = self.validate_feature(name, feature)
            rules = RulesValidator(feature=feature, boolean_feature=boolean_feature, logger=self.logger)
            rules.validate()

    # returns True in case the feature is a regular feature flag with a  boolean default value
    @staticmethod
    def validate_feature(name, feature) -> bool:
        if not feature or not isinstance(feature, dict):
            raise SchemaValidationError(f"Feature must be a non-empty dictionary, feature={name}")

        default_value: Any = feature.get(FEATURE_DEFAULT_VAL_KEY)
        boolean_feature: bool = feature.get(FEATURE_DEFAULT_VAL_TYPE_KEY, True)
        # if feature is boolean_feature, default_value must be a boolean type.
        # default_value must exist
        # Maintenance: Revisit before going GA. We might to simplify customers on-boarding by not requiring it
        # for non-boolean flags.
        if default_value is None or (not isinstance(default_value, bool) and boolean_feature):
            raise SchemaValidationError(f"feature 'default' boolean key must be present, feature={name}")
        return boolean_feature

Ancestors

• BaseValidator
• abc.ABC

Static methods

def validate_feature(name, feature) ‑> bool

Methods

def validate(self)

class ModuloRangeValues (*args, **kwds)

Possible values when using modulo range rule

Expand source code

class ModuloRangeValues(Enum):
    """
    Possible values when using modulo range rule
    """

    BASE = "BASE"
    START = "START"
    END = "END"

Ancestors

• enum.Enum

Class variables

var BASE

var END

var START

class RuleAction (*args, **kwds)

str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the result of object.str() (if defined) or repr(object). encoding defaults to sys.getdefaultencoding(). errors defaults to 'strict'.

Expand source code

class RuleAction(str, Enum):
    EQUALS = "EQUALS"
    NOT_EQUALS = "NOT_EQUALS"
    KEY_GREATER_THAN_VALUE = "KEY_GREATER_THAN_VALUE"
    KEY_GREATER_THAN_OR_EQUAL_VALUE = "KEY_GREATER_THAN_OR_EQUAL_VALUE"
    KEY_LESS_THAN_VALUE = "KEY_LESS_THAN_VALUE"
    KEY_LESS_THAN_OR_EQUAL_VALUE = "KEY_LESS_THAN_OR_EQUAL_VALUE"
    STARTSWITH = "STARTSWITH"
    ENDSWITH = "ENDSWITH"
    IN = "IN"
    NOT_IN = "NOT_IN"
    KEY_IN_VALUE = "KEY_IN_VALUE"
    KEY_NOT_IN_VALUE = "KEY_NOT_IN_VALUE"
    VALUE_IN_KEY = "VALUE_IN_KEY"
    VALUE_NOT_IN_KEY = "VALUE_NOT_IN_KEY"
    ALL_IN_VALUE = "ALL_IN_VALUE"
    ANY_IN_VALUE = "ANY_IN_VALUE"
    NONE_IN_VALUE = "NONE_IN_VALUE"
    SCHEDULE_BETWEEN_TIME_RANGE = "SCHEDULE_BETWEEN_TIME_RANGE"  # hour:min 24 hours clock
    SCHEDULE_BETWEEN_DATETIME_RANGE = "SCHEDULE_BETWEEN_DATETIME_RANGE"  # full datetime format, excluding timezone
    SCHEDULE_BETWEEN_DAYS_OF_WEEK = "SCHEDULE_BETWEEN_DAYS_OF_WEEK"  # MONDAY, TUESDAY, .... see TimeValues enum
    MODULO_RANGE = "MODULO_RANGE"

Ancestors

• builtins.str
• enum.Enum

Class variables

var ALL_IN_VALUE

var ANY_IN_VALUE

var ENDSWITH

var EQUALS

var IN

var KEY_GREATER_THAN_OR_EQUAL_VALUE

var KEY_GREATER_THAN_VALUE

var KEY_IN_VALUE

var KEY_LESS_THAN_OR_EQUAL_VALUE

var KEY_LESS_THAN_VALUE

var KEY_NOT_IN_VALUE

var MODULO_RANGE

var NONE_IN_VALUE

var NOT_EQUALS

var NOT_IN

var SCHEDULE_BETWEEN_DATETIME_RANGE

var SCHEDULE_BETWEEN_DAYS_OF_WEEK

var SCHEDULE_BETWEEN_TIME_RANGE

var STARTSWITH

var VALUE_IN_KEY

var VALUE_NOT_IN_KEY

class RulesValidator (feature: Dict[str, Any], boolean_feature: bool, logger: Optional[Union[logging.Logger, Logger]] = None)

Validates each rule and calls ConditionsValidator to validate each rule's conditions

Expand source code

class RulesValidator(BaseValidator):
    """Validates each rule and calls ConditionsValidator to validate each rule's conditions"""

    def __init__(
        self,
        feature: Dict[str, Any],
        boolean_feature: bool,
        logger: Optional[Union[logging.Logger, Logger]] = None,
    ):
        self.feature = feature
        self.feature_name = next(iter(self.feature))
        self.rules: Optional[Dict] = self.feature.get(RULES_KEY)
        self.logger = logger or LOGGER
        self.boolean_feature = boolean_feature

    def validate(self):
        if not self.rules:
            self.logger.debug("Rules are empty, ignoring validation")
            return

        if not isinstance(self.rules, dict):
            self.logger.debug(f"Feature rules must be a dictionary, feature={self.feature_name}")
            raise SchemaValidationError(f"Feature rules must be a dictionary, feature={self.feature_name}")

        for rule_name, rule in self.rules.items():
            self.logger.debug(f"Attempting to validate rule={rule_name} and feature={self.feature_name}")
            self.validate_rule(
                rule=rule,
                rule_name=rule_name,
                feature_name=self.feature_name,
                boolean_feature=self.boolean_feature,
            )
            conditions = ConditionsValidator(rule=rule, rule_name=rule_name, logger=self.logger)
            conditions.validate()

    @staticmethod
    def validate_rule(rule: Dict, rule_name: str, feature_name: str, boolean_feature: bool = True):
        if not rule or not isinstance(rule, dict):
            raise SchemaValidationError(f"Feature rule must be a dictionary, feature={feature_name}")

        RulesValidator.validate_rule_name(rule_name=rule_name, feature_name=feature_name)
        RulesValidator.validate_rule_default_value(rule=rule, rule_name=rule_name, boolean_feature=boolean_feature)

    @staticmethod
    def validate_rule_name(rule_name: str, feature_name: str):
        if not rule_name or not isinstance(rule_name, str):
            raise SchemaValidationError(f"Rule name key must have a non-empty string, feature={feature_name}")

    @staticmethod
    def validate_rule_default_value(rule: Dict, rule_name: str, boolean_feature: bool):
        rule_default_value = rule.get(RULE_MATCH_VALUE)
        if boolean_feature and not isinstance(rule_default_value, bool):
            raise SchemaValidationError(f"'rule_default_value' key must have be bool, rule={rule_name}")

Ancestors

• BaseValidator
• abc.ABC

Static methods

def validate_rule(rule: Dict, rule_name: str, feature_name: str, boolean_feature: bool = True)

def validate_rule_default_value(rule: Dict, rule_name: str, boolean_feature: bool)

def validate_rule_name(rule_name: str, feature_name: str)

Methods

def validate(self)

class SchemaValidator (schema: Dict[str, Any], logger: Optional[Union[logging.Logger, Logger]] = None)

Validates feature flag schema configuration

Raises

SchemaValidationError

When schema doesn't conform with feature flag schema

Schema

Feature object

A dictionary containing default value and rules for matching. The value MUST be an object and MIGHT contain the following members:

• default: Union[bool, JSONType]. Defines default feature value. This MUST be present
• boolean_type: bool. Defines whether feature has non-boolean value (JSONType). This MIGHT be present
• rules: Dict[str, Dict]. Rules object. This MIGHT be present

JSONType being any JSON primitive value: Union[str, int, float, bool, None, Dict[str, Any], List[Any]]

{
    "my_feature": {
        "default": true,
        "rules": {}
    },
    "my_non_boolean_feature": {
        "default": {"group": "read-only"},
        "boolean_type": false,
        "rules": {}
    }
}

Rules object

A dictionary with each rule and their conditions that a feature might have. The value MIGHT be present, and when defined it MUST contain the following members:

• when_match: Union[bool, JSONType]. Defines value to return when context matches conditions
• conditions: List[Dict]. Conditions object. This MUST be present

{
    "my_feature": {
        "default": true,
        "rules": {
            "tenant id equals 345345435": {
                "when_match": false,
                "conditions": []
            }
        }
    },
    "my_non_boolean_feature": {
        "default": {"group": "read-only"},
        "boolean_type": false,
        "rules": {
            "tenant id equals 345345435": {
                "when_match": {"group": "admin"},
                "conditions": []
            }
        }
    }
}

Conditions object

A list of dictionaries containing conditions for a given rule. The value MUST contain the following members:

• action: str. Operation to perform to match a key and value. The value MUST be either EQUALS, STARTSWITH, ENDSWITH, KEY_IN_VALUE KEY_NOT_IN_VALUE VALUE_IN_KEY VALUE_NOT_IN_KEY

• key: str. Key in given context to perform operation

• value: Any. Value in given context that should match action operation.

{
    "my_feature": {
        "default": true,
        "rules": {
            "tenant id equals 345345435": {
                "when_match": false,
                "conditions": [
                    {
                        "action": "EQUALS",
                        "key": "tenant_id",
                        "value": "345345435",
                    }
                ]
            }
        }
    }
}

Expand source code

class SchemaValidator(BaseValidator):
    """Validates feature flag schema configuration

    Raises
    ------
    SchemaValidationError
        When schema doesn't conform with feature flag schema

    Schema
    ------

    **Feature object**

    A dictionary containing default value and rules for matching.
    The value MUST be an object and MIGHT contain the following members:

    * **default**: `Union[bool, JSONType]`. Defines default feature value. This MUST be present
    * **boolean_type**: bool. Defines whether feature has non-boolean value (`JSONType`). This MIGHT be present
    * **rules**: `Dict[str, Dict]`. Rules object. This MIGHT be present

    `JSONType` being any JSON primitive value: `Union[str, int, float, bool, None, Dict[str, Any], List[Any]]`

    ```json
    {
        "my_feature": {
            "default": true,
            "rules": {}
        },
        "my_non_boolean_feature": {
            "default": {"group": "read-only"},
            "boolean_type": false,
            "rules": {}
        }
    }
    ```

    **Rules object**

    A dictionary with each rule and their conditions that a feature might have.
    The value MIGHT be present, and when defined it MUST contain the following members:

    * **when_match**: `Union[bool, JSONType]`. Defines value to return when context matches conditions
    * **conditions**: `List[Dict]`. Conditions object. This MUST be present

    ```json
    {
        "my_feature": {
            "default": true,
            "rules": {
                "tenant id equals 345345435": {
                    "when_match": false,
                    "conditions": []
                }
            }
        },
        "my_non_boolean_feature": {
            "default": {"group": "read-only"},
            "boolean_type": false,
            "rules": {
                "tenant id equals 345345435": {
                    "when_match": {"group": "admin"},
                    "conditions": []
                }
            }
        }
    }
    ```

    **Conditions object**

    A list of dictionaries containing conditions for a given rule.
    The value MUST contain the following members:

    * **action**: `str`. Operation to perform to match a key and value.
    The value MUST be either EQUALS, STARTSWITH, ENDSWITH,
    KEY_IN_VALUE KEY_NOT_IN_VALUE VALUE_IN_KEY VALUE_NOT_IN_KEY

    * **key**: `str`. Key in given context to perform operation
    * **value**: `Any`. Value in given context that should match action operation.

    ```json
    {
        "my_feature": {
            "default": true,
            "rules": {
                "tenant id equals 345345435": {
                    "when_match": false,
                    "conditions": [
                        {
                            "action": "EQUALS",
                            "key": "tenant_id",
                            "value": "345345435",
                        }
                    ]
                }
            }
        }
    }
    ```
    """

    def __init__(self, schema: Dict[str, Any], logger: Optional[Union[logging.Logger, Logger]] = None):
        self.schema = schema
        self.logger = logger or LOGGER

        # Validators are designed for modular testing
        # therefore we link the custom logger with global LOGGER
        # so custom validators can use them when necessary
        SchemaValidator._link_global_logger(self.logger)

    def validate(self) -> None:
        self.logger.debug("Validating schema")
        if not isinstance(self.schema, dict):
            raise SchemaValidationError(f"Features must be a dictionary, schema={str(self.schema)}")

        features = FeaturesValidator(schema=self.schema, logger=self.logger)
        features.validate()

    @staticmethod
    def _link_global_logger(logger: logging.Logger | Logger):
        global LOGGER
        LOGGER = logger

Ancestors

• BaseValidator
• abc.ABC

Methods

def validate(self) ‑> None

class TimeKeys (*args, **kwds)

Possible keys when using time rules

Expand source code

class TimeKeys(Enum):
    """
    Possible keys when using time rules
    """

    CURRENT_TIME = "CURRENT_TIME"
    CURRENT_DAY_OF_WEEK = "CURRENT_DAY_OF_WEEK"
    CURRENT_DATETIME = "CURRENT_DATETIME"

Ancestors

• enum.Enum

Class variables

var CURRENT_DATETIME

var CURRENT_DAY_OF_WEEK

var CURRENT_TIME

class TimeValues (*args, **kwds)

Possible values when using time rules

Expand source code

class TimeValues(Enum):
    """
    Possible values when using time rules
    """

    START = "START"
    END = "END"
    TIMEZONE = "TIMEZONE"
    DAYS = "DAYS"
    SUNDAY = "SUNDAY"
    MONDAY = "MONDAY"
    TUESDAY = "TUESDAY"
    WEDNESDAY = "WEDNESDAY"
    THURSDAY = "THURSDAY"
    FRIDAY = "FRIDAY"
    SATURDAY = "SATURDAY"

    @classmethod
    @lru_cache(maxsize=1)
    def days(cls) -> list[str]:
        return [day.value for day in cls if day.value not in ["START", "END", "TIMEZONE"]]

Ancestors

• enum.Enum

Class variables

var DAYS

var END

var FRIDAY

var MONDAY

var SATURDAY

var START

var SUNDAY

var THURSDAY

var TIMEZONE

var TUESDAY

var WEDNESDAY

Static methods

def days(cls) ‑> list[str]