chore: Fixing release README

Author: fgmacedo

README.rst

@@ -127,9 +127,7 @@ Generators
 The generatos clause depends of the library you choose to provide fake data.
 
 
-You can use any generator available at the generic API from
-`Faker <https://faker.readthedocs.io/en/stable/providers.html>`_ or
-`mimesis <https://mimesis.name/api.html>`_ .
+You can use any generator available at the generic API from Faker or mimesis.
 
 
 For example, if you wanna mimic data with company names:

datanonymizer/__main__.py

@@ -41,7 +41,7 @@ def main():
     parser.add_argument(
         "-i",
         "--ignore_errors",
-        action='store_true',
+        action="store_true",
         default=False,
         help="Continue on errors",
     )
@@ -51,8 +51,11 @@ def main():
 
     gen_choices = Generators.choices()
     parser.add_argument(
-        "-g", "--generator", default=gen_choices[0], choices=gen_choices,
-        help="Generator library to be used for fake data"
+        "-g",
+        "--generator",
+        default=gen_choices[0],
+        choices=gen_choices,
+        help="Generator library to be used for fake data",
     )
     parser.add_argument(
         "--seed",
@@ -72,7 +75,9 @@ def main():
         with open(args.config) as f:
             args.config = yaml.load(f, Loader=yaml.FullLoader)
 
-    args.generic = Generators.get(args.generator, language=args.language, seed=args.seed)
+    args.generic = Generators.get(
+        args.generator, language=args.language, seed=args.seed
+    )
 
     reader = csv.reader(sys.stdin, delimiter=args.delimiter_input)
     writer = csv.writer(sys.stdout, delimiter=args.delimiter_output)

datanonymizer/generators.py

@@ -1,5 +1,3 @@
-
-
 class Generators:
     _available_generators = {}
 
@@ -18,17 +16,18 @@ def choices(cls):
         return list(cls._available_generators.keys())
 
 
-
 @Generators.register
 def faker(language, seed):
     from faker import Faker
+
     Faker.seed(seed)
     return Faker(language).unique
 
 
 @Generators.register
 def mimesis(language, seed):
     from mimesis import Generic
+
     return Generic(language, seed)
 
 
@@ -54,5 +53,3 @@ def __call__(self, value):
             self.already_seen[value] = result
 
         return self.already_seen[value]
-
-

datanonymizer/parser.py

@@ -38,8 +38,12 @@ def parse_file(reader, writer, args):
 
 def get_line_generator(field_names, config, generic):
     config_fields = config and config.get("fields", {}) or {}
-    fill_empty_names = ((name or f"Field#{col}") for col, name in enumerate(field_names))
-    fields = [Field(name, config_fields.get(name), generic) for name in fill_empty_names]
+    fill_empty_names = (
+        (name or f"Field#{col}") for col, name in enumerate(field_names)
+    )
+    fields = [
+        Field(name, config_fields.get(name), generic) for name in fill_empty_names
+    ]
     values = [field.dest_name for field in fields if field.omit is False]
     return Generator(fields), values
 

setup.py

@@ -2,7 +2,7 @@
 from setuptools import setup
 
 
-with io.open('README.rst', encoding='utf-8') as readme_file:
+with io.open("README.rst", encoding="utf-8") as readme_file:
     readme = readme_file.read()
 
 long_description = readme
@@ -12,37 +12,38 @@
     version="0.2",
     description="Anonymizer tool for datasets such CSV files",
     long_description=long_description,
+    long_description_content_type="text/x-rst",
     url="http://github.com/fgmacedo/datanonymizer",
     author="Fernando Macedo",
     author_email="fgmacedo@gmail.com",
     license="MIT",
     packages=["datanonymizer"],
     entry_points={
-        'console_scripts': [
-            'datanonymizer=datanonymizer:main',
+        "console_scripts": [
+            "datanonymizer=datanonymizer:main",
         ],
     },
     install_requires=[
-        'h3>=3,<4',
-        'PyYAML>=5,<6',
+        "h3>=3,<4",
+        "PyYAML>=5,<6",
         "faker>=8,<9",
     ],
     extras_require={
         "mimesis": ["mimesis>=4,<5"],
     },
     zip_safe=False,
-    keywords='data anonymizer',
+    keywords="data anonymizer",
     classifiers=[
-        'Development Status :: 4 - Beta',
-        'Intended Audience :: Developers',
-        'Intended Audience :: System Administrators',
-        'License :: OSI Approved :: MIT License',
-        'Natural Language :: English',
-        'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.7',
-        'Programming Language :: Python :: 3.8',
-        'Programming Language :: Python :: 3.9',
-        'Topic :: Software Development :: Libraries',
-        'Topic :: Security',
+        "Development Status :: 4 - Beta",
+        "Intended Audience :: Developers",
+        "Intended Audience :: System Administrators",
+        "License :: OSI Approved :: MIT License",
+        "Natural Language :: English",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Topic :: Software Development :: Libraries",
+        "Topic :: Security",
     ],
 )