anonymizer-data 0.1.1

The Anonymize library provides functionality to anonymize sensitive data in different formats, such as strings, lists, and dictionaries. This library is useful for developers who need to ensure data privacy in their applications.

anonymize-data

The anonymize-data library provides functionality to anonymize sensitive data in different formats, such as strings, lists, and dictionaries. This library is useful for developers who need to ensure data privacy in their applications.

Quickstart

Installation

pip

pip install anonymize-data

uv

uv add anonymize-data

Anonymize strings

To anonymize strings in your project you can use the MaskStr class.

Example:

from anonymizer_data import MaskStr
string = MaskStr("Hello Word")
string.anonymize()
print(string)  # result: *******ord

You can control how much percent the string will be anonymized relative to its length via the size_anonymization parameter. You can pass a value from 0 to 1.
You can also pass a negative value to reverse the anonymization.

Example:

from anonymizer_data import MaskStr
string = MaskStr("Hello Word", size_anonymization=0.5)
string.anonymize()
print(string)  # result: ***** Word
MaskStr("Hello Word", size_anonymization=0.5).anonymize()  # result: Hello*****

Anonymize lists

List anonymization is done by the MaskList class.

Example:

from anonymizer_data import MaskList
list_data = MaskList(['1234435', '98765432', '24295294', 'Jhon Doe'])
list_data.anonymize()
print(list_data)  # result: ['****435', '*****432', '*****294', '*****Doe']

Anonymize dict

Dictionary's anonymization is done by the MaskList class.

Example:

from anonymizer_data import MaskDict
dict_data = MaskDict(
    {
        "username": "JhonDoe",
        "password": "123Change",
        "roles": ['Admin', 'developer'],
        "contact": {
            "number": "[phone]"
        }
    }
)
dict_data.anonymize()
print(dict_data)  # result: {'username': '****Doe', 'password': '******nge', 'roles': ['***in', '******per'], 'contact': {'number': '*************9-9999'}}

Note: Dictionary anonymization brings with it other advantages such as: choosing which keys in the dictionary should be anonymized; enabling exclusive anonymization based on the key. For example, [e-mail] would become ******[e-mail].

cli

You can anonymize strings from the command line. For this you need to have uv installed.

Exemple:

uv run anonymize "Hello Word"
*******ord

uv run anonymmize --help
Usage: anonymize [OPTIONS] VALUE [TYPE_MASK] [SIZE_ANONYMIZATION]                                                                                            

 cli anonymization string                                                                                                                                     

╭─ Arguments ───────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ *    value                   TEXT                  The string you want to anonymize [default: None] [required]    │
│      type_mask               [TYPE_MASK]           The type mask to use [default: string]                         │
│      size_anonymization      [SIZE_ANONYMIZATION]  The size anonymization factor [default: 0.7]                   │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Options ─────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --install-completion          Install completion for the current shell.                                           │
│ --show-completion             Show completion for the current shell, to copy it or customize the installation.    │
│ --help                        Show this message and exit.                                                         │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯