mirror of
https://github.com/Andre0512/pyhOn.git
synced 2024-01-19 02:50:44 +00:00
Split up parameters
This commit is contained in:
parent
461a247ad3
commit
03187745bf
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@ -5,7 +5,7 @@ from typing import TYPE_CHECKING
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from pyhon import helper
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from pyhon.commands import HonCommand
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from pyhon.parameter import HonParameterFixed
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from pyhon.parameter.fixed import HonParameterFixed
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if TYPE_CHECKING:
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from pyhon import HonAPI
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@ -1,12 +1,10 @@
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from typing import Optional, Dict, Any, List, TYPE_CHECKING
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from pyhon.parameter import (
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HonParameterFixed,
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HonParameterEnum,
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HonParameterRange,
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HonParameterProgram,
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HonParameter,
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)
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from pyhon.parameter.base import HonParameter
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from pyhon.parameter.enum import HonParameterEnum
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from pyhon.parameter.fixed import HonParameterFixed
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from pyhon.parameter.program import HonParameterProgram
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from pyhon.parameter.range import HonParameterRange
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if TYPE_CHECKING:
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from pyhon import HonAPI
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@ -1,150 +0,0 @@
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from typing import Dict, Any, List, TYPE_CHECKING
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if TYPE_CHECKING:
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from pyhon.commands import HonCommand
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def str_to_float(string: str | float) -> float:
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try:
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return int(string)
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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", "")
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self._typology: str = attributes.get("typology", "")
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self._mandatory: int = attributes.get("mandatory", 0)
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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
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@property
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def typology(self) -> str:
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return self._typology
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@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)
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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
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def value(self, value):
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if not value == self._value:
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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"])
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self._max: float = str_to_float(attributes["maximumValue"])
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self._step: float = str_to_float(attributes["incrementValue"])
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self._default: float = str_to_float(attributes.get("defaultValue", self._min))
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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
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@property
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def max(self) -> float:
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return self._max
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@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
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@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(
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f"Allowed: min {self._min} max {self._max} step {self._step}"
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)
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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:
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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, {})
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self._command = command
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self._value: str = command.program
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self._values: List[str] = list(command.programs)
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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
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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._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)
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0
pyhon/parameter/__init__.py
Normal file
0
pyhon/parameter/__init__.py
Normal file
30
pyhon/parameter/base.py
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30
pyhon/parameter/base.py
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@ -0,0 +1,30 @@
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from typing import Dict, Any
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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", "")
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self._typology: str = attributes.get("typology", "")
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self._mandatory: int = attributes.get("mandatory", 0)
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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
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@property
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def typology(self) -> str:
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return self._typology
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@property
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def mandatory(self) -> int:
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return self._mandatory
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29
pyhon/parameter/enum.py
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29
pyhon/parameter/enum.py
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from typing import Dict, Any, List
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from pyhon.parameter.base import HonParameter
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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:
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raise ValueError(f"Allowed values {self._value}")
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21
pyhon/parameter/fixed.py
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21
pyhon/parameter/fixed.py
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from typing import Dict, Any
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from pyhon.parameter.base import HonParameter
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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)
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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
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def value(self, value):
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if not value == self._value:
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raise ValueError("Can't change fixed value")
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33
pyhon/parameter/program.py
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33
pyhon/parameter/program.py
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from typing import List, TYPE_CHECKING
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from pyhon.parameter.enum import HonParameterEnum
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if TYPE_CHECKING:
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from pyhon.commands import HonCommand
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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, {})
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self._command = command
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self._value: str = command.program
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self._values: List[str] = list(command.programs)
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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
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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._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)
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49
pyhon/parameter/range.py
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49
pyhon/parameter/range.py
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from typing import Dict, Any
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from pyhon.parameter.base import HonParameter
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def str_to_float(string: str | float) -> float:
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try:
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return int(string)
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except ValueError:
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return float(str(string).replace(",", "."))
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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"])
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self._max: float = str_to_float(attributes["maximumValue"])
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self._step: float = str_to_float(attributes["incrementValue"])
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self._default: float = str_to_float(attributes.get("defaultValue", self._min))
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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
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@property
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def max(self) -> float:
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return self._max
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@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
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@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(
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f"Allowed: min {self._min} max {self._max} step {self._step}"
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)
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