pyhOn/pyhon/parameter.py

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from typing import Dict, Any, List, TYPE_CHECKING
if TYPE_CHECKING:
from pyhon.commands import HonCommand
def str_to_float(string: str | float) -> float:
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try:
return int(string)
except ValueError:
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return float(str(string).replace(",", "."))
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class HonParameter:
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def __init__(self, key: str, attributes: Dict[str, Any]) -> None:
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self._key = key
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self._category: str = attributes.get("category", "")
self._typology: str = attributes.get("typology", "")
self._mandatory: int = attributes.get("mandatory", 0)
self._value: str | float = ""
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@property
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def key(self) -> str:
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return self._key
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@property
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def value(self) -> str | float:
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return self._value if self._value is not None else "0"
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@property
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def category(self) -> str:
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return self._category
@property
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def typology(self) -> str:
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return self._typology
@property
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def mandatory(self) -> int:
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return self._mandatory
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class HonParameterFixed(HonParameter):
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def __init__(self, key: str, attributes: Dict[str, Any]) -> None:
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super().__init__(key, attributes)
self._value = attributes.get("fixedValue", None)
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def __repr__(self) -> str:
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return f"{self.__class__} (<{self.key}> fixed)"
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@property
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def value(self) -> str | float:
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return self._value if self._value is not None else "0"
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@value.setter
def value(self, value):
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if not value == self._value:
raise ValueError("Can't change fixed value")
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class HonParameterRange(HonParameter):
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def __init__(self, key: str, attributes: Dict[str, Any]) -> None:
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super().__init__(key, attributes)
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self._min: float = str_to_float(attributes["minimumValue"])
self._max: float = str_to_float(attributes["maximumValue"])
self._step: float = str_to_float(attributes["incrementValue"])
self._default: float = str_to_float(attributes.get("defaultValue", self._min))
self._value: float = self._default
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def __repr__(self):
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return f"{self.__class__} (<{self.key}> [{self._min} - {self._max}])"
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@property
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def min(self) -> float:
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return self._min
@property
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def max(self) -> float:
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return self._max
@property
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def step(self) -> float:
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return self._step
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@property
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def value(self) -> float:
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return self._value if self._value is not None else self._min
@value.setter
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def value(self, value: float) -> None:
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value = str_to_float(value)
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if self._min <= value <= self._max and not value % self._step:
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self._value = value
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else:
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raise ValueError(
f"Allowed: min {self._min} max {self._max} step {self._step}"
)
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class HonParameterEnum(HonParameter):
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def __init__(self, key: str, attributes: Dict[str, Any]) -> None:
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super().__init__(key, attributes)
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self._default = attributes.get("defaultValue")
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self._value = self._default or "0"
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self._values: List[str] = attributes.get("enumValues", [])
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def __repr__(self) -> str:
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return f"{self.__class__} (<{self.key}> {self.values})"
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@property
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def values(self) -> List[str]:
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return [str(value) for value in self._values]
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@property
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def value(self) -> str | float:
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return self._value if self._value is not None else self.values[0]
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@value.setter
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def value(self, value: str) -> None:
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if value in self.values:
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self._value = value
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else:
raise ValueError(f"Allowed values {self._value}")
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class HonParameterProgram(HonParameterEnum):
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_FILTER = ["iot_recipe", "iot_guided"]
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def __init__(self, key: str, command: "HonCommand") -> None:
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super().__init__(key, {})
self._command = command
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self._value: str = command.program
self._values: List[str] = list(command.programs)
self._typology: str = "enum"
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@property
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def value(self) -> str | float:
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return self._value
@value.setter
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def value(self, value: str) -> None:
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if value in self.values:
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self._command.program = value
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else:
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raise ValueError(f"Allowed values {self._values}")
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@property
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def values(self) -> List[str]:
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values = [v for v in self._values if all(f not in v for f in self._FILTER)]
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return sorted(values)