Data Protective Transformer
Data Protective Transformer This process creates a structure that allows for read operations on data but prevents any modifications to it. You pass your data to a function, which then converts it into a dynamic structure. Within this…
Data Protective Transformer
This process creates a structure that allows for read operations on data but prevents any modifications to it. You pass your data to a function, which then converts it into a dynamic structure. Within this structure, if the data is an object or an array, each element of the data is processed to have the same protected and dynamic properties. Thus, at every level of the data hierarchy, the data can be accessed in a read-only manner.
For instance, consider you have a data structure containing a user and their message information. After processing this data structure, you can access user information but cannot alter it, whether accidentally or intentionally. This is particularly useful for preserving your data and preventing unintended modifications.
The process maintains the structure and content of your data while providing secure access to it. This protected access is crucial, especially in complex data structures with nested objects or arrays, to maintain data integrity. By preventing data modifications, this structure creates a more controlled and secure working environment for your data.
Example
```js { id: 1, from_user: { id: 2, name: “Qiyas” } }
You can call the desired data as follows:
DATA TO CLASS (JavaScript Version)
class DynamicDataClass { constructor(data) { return new Proxy(data, { get: (target, prop, receiver) => prop in target ? (typeof target[prop] === ‘object’ && target[prop] !== null ? new DynamicDataClass(target[prop]) : target[prop]) : undefined,
set: () => {
throw new Error("Read-only");
},
// Continue..
});
} }
🔗 Continue in the link: https://gist.github.com/qiyascc/cfc4ce298304b2b36bc130f790c755a3
DATA TO CLASS (Python Version)
class DynamicDataClass: slots = (‘_data’,)
def __init__(self, **data):
object.__setattr__(self, '_data', {})
for key, value in data.items():
if isinstance(value, dict):
value = DynamicDataClass(**value)
self._data[key] = value
def __getattr__(self, item):
try:
return self._data[item]
except KeyError:
# Continue ...
raise AttributeError(f"No attribute '{item}'")
def __setattr__(self, key, value):
raise TypeError("Read-only structure")
def __repr__(self):
return f"DynamicDataClass({self._data})"
🔗 Continue in the link: https://gist.github.com/qiyascc/f2b3ef896ab0218c7334fc4fdfc7dabd
İstəsən bunu da Medium formatına salım (başlıq, SEO description, tags, code highlight və s.), ya da “dev blog post v2” kimi daha professional yazıya çevirə bilərəm.
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