ntt-json-model
Library with model object which is observable and can be serialize and deserialize from json file
Example
With primitive data
from ntt_json_model import *
class TestModel(ModelBase):
def __init__(self,
nValue: int = 3,
strName: str = "Hello",
fTemp: float = 3.1,
lstScores: List[int] = []) -> None:
super().__init__()
IntegerProperty(self, nValue, "_nValue")
FloatProperty(self, fTemp, "_fTemp")
StrProperty(self, strName, "_strName")
ListProperty(self, lstScores, "_lstScores")
@property
def Value(self) -> int:
return self._nValue.GetValue()
@Value.setter
def Value(self, nValue: int) -> None:
self._nValue.SetValue(nValue)
@property
def Temp(self) -> str:
return self._fTemp.GetValue()
@Temp.setter
def Temp(self, fTemp: float) -> None:
self._fTemp.SetValue(fTemp)
@property
def Name(self) -> str:
return self._strName.GetValue()
@Name.setter
def Name(self, strName: str) -> None:
self._strName.SetValue(strName)
@property
def Scores(self) -> List[int]:
return self._lstScores.GetValue()
ModelBase.mSubModels[TestModel.__name__] = TestModel
def PrintIfChanged() -> None:
print("Model has changed")
model = TestModel()
model.Connect(PrintIfChanged)
model.Temp = 3 # ---> "Model has changed"
print(model.ToDict())
# Output:
# {
# "__class__": "TestModel",
# "_nValue": 3,
# "_fTemp": 3.0,
# "_strName": "Hello",
# "_lstScores": []
# }
model.FromDict({
"__class__": "TestModel",
"_nValue": 3,
"_fTemp": 3.0,
"_strName": "Hello",
"_lstScores": [4, 3]
})
Model Data
class TestModelClass(ModelBase):
def __init__(self, nScore: int = 4, *args, **kwargs) -> None:
super().__init__()
IntegerProperty(self, nScore, "_nScore")
ModelProperty(self, TestModel(*args, **kwargs), "_mTestModel")
@property
def Score(self) -> int:
return self._nScore.GetValue()
@Score.setter
def Score(self, nNewScore: int) -> None:
self._nScore.SetValue(nNewScore)
@property
def TestModel(self) -> TestModel:
return self._mTestModel.GetValue()
ModelBase.mSubModels[TestModelClass.__name__] = TestModelClass
Model List Data
class TestModelListClass(ModelBase):
def __init__(self, fScore: float = 8.5) -> None:
super().__init__()
FloatProperty(self, fScore, "_fScore")
ModelListProperty(self, [], "_mModels")
@property
def Score(self) -> float:
return self._fScore.GetValue()
@Score.setter
def Score(self, fNewScore: float) -> None:
self._fScore.SetValue(fNewScore)
@property
def Models(self) -> List[TestModelClass]:
return self._mModels.GetValue()
ModelBase.mSubModels[TestModelListClass.__name__] = TestModelListClass
Metadata
Release files for ntt-json-model 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| ntt-json-model-1.0.2.tar.gz | 8.6 kB | Without provenance | Details for ntt-json-model-1.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ntt_json_model-1.0.2-py3-none-any.whl | Python 3 | none | any | Details for ntt_json_model-1.0.2-py3-none-any.whl |
Total release size: 21.5 kB
Release files / ntt-json-model-1.0.2.tar.gz
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| Size | 12.9 kB |
| Tags | Python 3 |
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| Uploaded via |
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