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| 1 | +# Copyright (C) 2024 Intel Corporation |
| 2 | +# SPDX-License-Identifier: Apache-2.0 |
| 3 | + |
| 4 | +"""A module to process optional context parameters""" |
| 5 | + |
| 6 | +from abc import ABC, abstractmethod |
| 7 | + |
| 8 | + |
| 9 | +class OptionalContext(ABC): |
| 10 | + """Abstract class to hold optional parameters for context""" |
| 11 | + |
| 12 | + op_name: str = "" |
| 13 | + op_value = None |
| 14 | + |
| 15 | + @abstractmethod |
| 16 | + def validate(self, value): |
| 17 | + """Abstract method, which defines how to valudate a value""" |
| 18 | + |
| 19 | + |
| 20 | +class OptionalInt(OptionalContext): |
| 21 | + """Holds a key/value pair for optional context parameters of type Int""" |
| 22 | + |
| 23 | + def __init__(self, name: str, min_val: int, max_val: int): |
| 24 | + self.min_val = min_val |
| 25 | + self.max_val = max_val |
| 26 | + self._op_name = name |
| 27 | + |
| 28 | + def validate(self, value: int): |
| 29 | + """Validate numeric options with min/max range""" |
| 30 | + if self.min_val < value < self.max_val: |
| 31 | + return True |
| 32 | + return False |
| 33 | + |
| 34 | + @property |
| 35 | + def op_value(self): |
| 36 | + """Get op_value""" |
| 37 | + return self._op_value |
| 38 | + |
| 39 | + @op_value.setter |
| 40 | + def op_value(self, value: int): |
| 41 | + """Set op_value""" |
| 42 | + if self.validate(value): |
| 43 | + self._op_value = int(value) |
| 44 | + else: |
| 45 | + raise ValueError( |
| 46 | + "{self.op_name} must be in range ({self.min_val}, {self.max_val}): {self.op_name}={self.op_value}" |
| 47 | + ) |
| 48 | + |
| 49 | + |
| 50 | +class OptionalIntMinMax: |
| 51 | + """Holds min/max values for optional context parameters for type Int""" |
| 52 | + |
| 53 | + int_min: int |
| 54 | + int_max: int |
| 55 | + default: int | None |
| 56 | + |
| 57 | + def __init__(self, int_min: int, int_max: int, default: int | None): |
| 58 | + self.int_min = int_min |
| 59 | + self.int_max = int_max |
| 60 | + self.default = default |
| 61 | + |
| 62 | + |
| 63 | +class OptionalFactory(ABC): |
| 64 | + """Abstract class that creates OptionaContext objects""" |
| 65 | + |
| 66 | + MAX_KRNS_DELTA = 128 |
| 67 | + MAX_DIGIT = 3 |
| 68 | + MIN_KRNS_DELTA = MIN_DIGIT = 0 |
| 69 | + optionals = { |
| 70 | + "krns_delta": OptionalIntMinMax(MIN_KRNS_DELTA, MAX_KRNS_DELTA, 0), |
| 71 | + "num_digits": OptionalIntMinMax(MIN_DIGIT, MAX_DIGIT, None), |
| 72 | + } |
| 73 | + |
| 74 | + @staticmethod |
| 75 | + @abstractmethod |
| 76 | + def create(name: str, value) -> OptionalContext: |
| 77 | + """Abstract method, to define how to create an OptionalContext""" |
| 78 | + |
| 79 | + |
| 80 | +class OptionalIntFactory(OptionalFactory): |
| 81 | + """Optional context parameter factory for Int types""" |
| 82 | + |
| 83 | + @staticmethod |
| 84 | + def create(name: str, value: int) -> OptionalInt: |
| 85 | + """Create a OptionalInt object based on key/value pair""" |
| 86 | + if name in OptionalIntFactory.optionals: |
| 87 | + if isinstance(OptionalIntFactory.optionals[name], OptionalIntMinMax): |
| 88 | + optional_int = OptionalInt( |
| 89 | + name, |
| 90 | + OptionalIntFactory.optionals[name].int_min, |
| 91 | + OptionalIntFactory.optionals[name].int_max, |
| 92 | + ) |
| 93 | + optional_int.op_value = value |
| 94 | + # add other optional types here |
| 95 | + else: |
| 96 | + raise KeyError(f"Invalid optional name for Context: '{name}'") |
| 97 | + return optional_int |
| 98 | + |
| 99 | + |
| 100 | +class OptionalFactoryDispatcher: |
| 101 | + """An object dispatcher based on key/value pair for comptional context parameters""" |
| 102 | + |
| 103 | + @staticmethod |
| 104 | + def create(name: str, value) -> OptionalContext: |
| 105 | + """Creat an OptionalContext object based on the type of value passed in""" |
| 106 | + if value.isnumeric(): |
| 107 | + value = int(value) |
| 108 | + match value: |
| 109 | + case int(): |
| 110 | + return OptionalIntFactory.create(name, value) |
| 111 | + case _: |
| 112 | + raise ValueError(f"Current type '{type(value)}' is not supported.") |
| 113 | + |
| 114 | + |
| 115 | +class OptionalsParser: |
| 116 | + """Parses key/value pairs and returns a dictionary of optiona parameters""" |
| 117 | + |
| 118 | + @staticmethod |
| 119 | + def __default_values(): |
| 120 | + default_dict = {} |
| 121 | + for key, val in OptionalFactory.optionals.items(): |
| 122 | + default_dict[key] = val.default |
| 123 | + return default_dict |
| 124 | + |
| 125 | + @staticmethod |
| 126 | + def parse(optionals: list[str]): |
| 127 | + """Parse the optional parameter list and return a dictionary with values""" |
| 128 | + output_dict = OptionalsParser.__default_values() |
| 129 | + for option in optionals: |
| 130 | + try: |
| 131 | + key, value = option.split("=") |
| 132 | + output_dict[key] = OptionalFactoryDispatcher.create(key, value).op_value |
| 133 | + except ValueError as err: |
| 134 | + raise ValueError( |
| 135 | + f"Optional variables must be key/value pairs (e.g. krns_delta=1, num_digits=3): '{option}'" |
| 136 | + ) from err |
| 137 | + return output_dict |
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