netbox-community-netbox/netbox/extras/conditions.py

import functools
import re

__all__ = (
    'Condition',
    'ConditionSet',
)


AND = 'and'
OR = 'or'


def is_ruleset(data):
    """
    Determine whether the given dictionary looks like a rule set.
    """
    return type(data) is dict and len(data) == 1 and list(data.keys())[0] in (AND, OR)


class Condition:
    """
    An individual conditional rule that evaluates a single attribute and its value.

    :param attr: The name of the attribute being evaluated
    :param value: The value being compared
    :param op: The logical operation to use when evaluating the value (default: 'eq')
    """
    EQ = 'eq'
    GT = 'gt'
    GTE = 'gte'
    LT = 'lt'
    LTE = 'lte'
    IN = 'in'
    CONTAINS = 'contains'
    REGEX = 'regex'

    OPERATORS = (
        EQ, GT, GTE, LT, LTE, IN, CONTAINS, REGEX
    )

    TYPES = {
        str: (EQ, CONTAINS, REGEX),
        bool: (EQ, CONTAINS),
        int: (EQ, GT, GTE, LT, LTE, CONTAINS),
        float: (EQ, GT, GTE, LT, LTE, CONTAINS),
        list: (EQ, IN, CONTAINS)
    }

    def __init__(self, attr, value, op=EQ, negate=False):
        if op not in self.OPERATORS:
            raise ValueError(f"Unknown operator: {op}. Must be one of: {', '.join(self.OPERATORS)}")
        if type(value) not in self.TYPES:
            raise ValueError(f"Unsupported value type: {type(value)}")
        if op not in self.TYPES[type(value)]:
            raise ValueError(f"Invalid type for {op} operation: {type(value)}")

        self.attr = attr
        self.value = value
        self.eval_func = getattr(self, f'eval_{op}')
        self.negate = negate

    def eval(self, data):
        """
        Evaluate the provided data to determine whether it matches the condition.
        """
        try:
            value = functools.reduce(dict.get, self.attr.split('.'), data)
        except TypeError:
            # Invalid key path
            value = None
        result = self.eval_func(value)

        if self.negate:
            return not result
        return result

    # Equivalency

    def eval_eq(self, value):
        return value == self.value

    def eval_neq(self, value):
        return value != self.value

    # Numeric comparisons

    def eval_gt(self, value):
        return value > self.value

    def eval_gte(self, value):
        return value >= self.value

    def eval_lt(self, value):
        return value < self.value

    def eval_lte(self, value):
        return value <= self.value

    # Membership

    def eval_in(self, value):
        return value in self.value

    def eval_contains(self, value):
        return self.value in value

    # Regular expressions

    def eval_regex(self, value):
        return re.match(self.value, value) is not None


class ConditionSet:
    """
    A set of one or more Condition to be evaluated per the prescribed logic (AND or OR). Example:

    {"and": [
        {"attr": "foo", "op": "eq", "value": 1},
        {"attr": "bar", "op": "eq", "value": 2, "negate": true}
    ]}

    :param ruleset: A dictionary mapping a logical operator to a list of conditional rules
    """
    def __init__(self, ruleset):
        if type(ruleset) is not dict:
            raise ValueError(f"Ruleset must be a dictionary, not {type(ruleset)}.")
        if len(ruleset) != 1:
            raise ValueError(f"Ruleset must have exactly one logical operator (found {len(ruleset)})")

        # Determine the logic type
        logic = list(ruleset.keys())[0]
        if type(logic) is not str or logic.lower() not in (AND, OR):
            raise ValueError(f"Invalid logic type: {logic} (must be '{AND}' or '{OR}')")
        self.logic = logic.lower()

        # Compile the set of Conditions
        self.conditions = [
            ConditionSet(rule) if is_ruleset(rule) else Condition(**rule)
            for rule in ruleset[self.logic]
        ]

    def eval(self, data):
        """
        Evaluate the provided data to determine whether it matches this set of conditions.
        """
        func = any if self.logic == 'or' else all
        return func(d.eval(data) for d in self.conditions)