feat: add privacy level enum [SD-781] (#25)

* feat: add privacy level enum

* fix: lint error

* feat: move privacy level enum

* feat: add documentation

* feat: move privacy level enum to new data science package

Author: ricardodcpereira

src/datascience/VERSION

@@ -0,0 +1 @@
+0.0.0

src/datascience/setup.py

@@ -0,0 +1,25 @@
+from pathlib import Path
+from setuptools import setup, find_packages
+
+here = Path(__file__).parent.resolve()
+root = here.parent.parent.resolve()
+
+long_description = (root / 'README.md').read_text(encoding='utf-8')
+version = (root / 'VERSION').read_text().rstrip("\n")
+
+setup(name='ydata-datascience',
+      version=version,
+      description='Data science functionalities for all python packages at YData',
+      long_description=long_description,
+      long_description_content_type='text/markdown',
+      author='YData',
+      author_email='[email protected]',
+      classifiers=[
+        'Intended Audience :: Developers',
+        'Programming Language :: Python :: 3 :: Only',
+        'Topic :: Software Development :: Libraries :: Python Modules'
+      ],
+      url='https://github.com/ydataai/python-core',
+      packages=find_packages(exclude=['ydata', 'tests']),
+      include_package_data=True,
+      options={"bdist_wheel": {"universal": True}})

src/datascience/ydata/__init__.py

@@ -0,0 +1 @@
+__path__ = __import__('pkgutil').extend_path(__path__, __name__)

src/datascience/ydata/datascience/__init__.py

@@ -0,0 +1,6 @@
+from .privacy import PrivacyLevel
+
+
+__all__ = [
+  "PrivacyLevel"
+]

src/datascience/ydata/datascience/common/__init__.py

@@ -0,0 +1,20 @@
+from enum import Enum, auto
+
+
+class PrivacyLevel(Enum):
+    """Privacy level exposed to the end-user."""
+    HIGH_FIDELITY = auto()
+    """High fidelity"""
+    HIGH_PRIVACY = auto()
+    """High privacy"""
+    BALANCED_PRIVACY_FIDELITY = auto()
+    """Balanced privacy/fidelity"""
+
+    def __str__(self):
+        if self.value == self.HIGH_FIDELITY.value:
+            return "High Fidelity"
+        if self.value == self.HIGH_PRIVACY.value:
+            return "High Privacy"
+        if self.value == self.BALANCED_PRIVACY_FIDELITY.value:
+            return "Balanced Privacy/Fidelity"
+        return "N/D"