# ntt-json-model
Library with model object which is observable and can be serialize and deserialize from json file
## Example
### With `primitive` data
```python
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
``` python
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
```python
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
```
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"description": "# ntt-json-model\r\nLibrary with model object which is observable and can be serialize and deserialize from json file\r\n\r\n## Example\r\n\r\n### With `primitive` data\r\n\r\n```python\r\nfrom ntt_json_model import *\r\n\r\nclass TestModel(ModelBase):\r\n def __init__(self, \r\n nValue: int = 3, \r\n strName: str = \"Hello\",\r\n fTemp: float = 3.1,\r\n lstScores: List[int] = []) -> None:\r\n super().__init__()\r\n\r\n IntegerProperty(self, nValue, \"_nValue\")\r\n FloatProperty(self, fTemp, \"_fTemp\")\r\n StrProperty(self, strName, \"_strName\")\r\n ListProperty(self, lstScores, \"_lstScores\")\r\n\r\n @property\r\n def Value(self) -> int:\r\n return self._nValue.GetValue()\r\n\r\n @Value.setter\r\n def Value(self, nValue: int) -> None:\r\n self._nValue.SetValue(nValue)\r\n\r\n @property\r\n def Temp(self) -> str:\r\n return self._fTemp.GetValue()\r\n\r\n @Temp.setter\r\n def Temp(self, fTemp: float) -> None:\r\n self._fTemp.SetValue(fTemp)\r\n \r\n @property\r\n def Name(self) -> str:\r\n return self._strName.GetValue()\r\n\r\n @Name.setter\r\n def Name(self, strName: str) -> None:\r\n self._strName.SetValue(strName)\r\n\r\n @property\r\n def Scores(self) -> List[int]:\r\n return self._lstScores.GetValue()\r\n\r\nModelBase.mSubModels[TestModel.__name__] = TestModel\r\n\r\ndef PrintIfChanged() -> None:\r\n print(\"Model has changed\")\r\n\r\nmodel = TestModel()\r\nmodel.Connect(PrintIfChanged)\r\nmodel.Temp = 3 # ---> \"Model has changed\"\r\n\r\nprint(model.ToDict()) \r\n# Output:\r\n# {\r\n# \"__class__\": \"TestModel\",\r\n# \"_nValue\": 3,\r\n# \"_fTemp\": 3.0,\r\n# \"_strName\": \"Hello\",\r\n# \"_lstScores\": []\r\n# }\r\n\r\nmodel.FromDict({\r\n \"__class__\": \"TestModel\",\r\n \"_nValue\": 3,\r\n \"_fTemp\": 3.0,\r\n \"_strName\": \"Hello\",\r\n \"_lstScores\": [4, 3]\r\n})\r\n```\r\n\r\n### `Model` Data\r\n\r\n``` python\r\nclass TestModelClass(ModelBase):\r\n def __init__(self, nScore: int = 4, *args, **kwargs) -> None:\r\n super().__init__()\r\n\r\n IntegerProperty(self, nScore, \"_nScore\")\r\n ModelProperty(self, TestModel(*args, **kwargs), \"_mTestModel\")\r\n\r\n @property\r\n def Score(self) -> int:\r\n return self._nScore.GetValue()\r\n\r\n @Score.setter\r\n def Score(self, nNewScore: int) -> None:\r\n self._nScore.SetValue(nNewScore)\r\n\r\n @property\r\n def TestModel(self) -> TestModel:\r\n return self._mTestModel.GetValue()\r\n\r\nModelBase.mSubModels[TestModelClass.__name__] = TestModelClass\r\n```\r\n\r\n### `Model List` Data\r\n\r\n```python\r\nclass TestModelListClass(ModelBase):\r\n def __init__(self, fScore: float = 8.5) -> None:\r\n super().__init__()\r\n\r\n FloatProperty(self, fScore, \"_fScore\")\r\n ModelListProperty(self, [], \"_mModels\")\r\n \r\n @property\r\n def Score(self) -> float:\r\n return self._fScore.GetValue()\r\n\r\n @Score.setter\r\n def Score(self, fNewScore: float) -> None:\r\n self._fScore.SetValue(fNewScore)\r\n\r\n @property\r\n def Models(self) -> List[TestModelClass]:\r\n return self._mModels.GetValue()\r\n\r\nModelBase.mSubModels[TestModelListClass.__name__] = TestModelListClass\r\n```\r\n\r\n",
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