renamed the pcakage

renamed the package to be compatible to pypi

csv_utilite/__init__.py

@@ -0,0 +1,7 @@
+from .reader import Reader
+from .writer import Writer
+from .validation import validate_rows, validate_headers
+from .conversion import csv_to_json, json_to_csv
+from .manipulation import filter_rows, sort_rows, merge_files
+from .generation import generate_from_db, generate_from_dict
+from .formating import quote_fields, remove_quotes, handle_newlines

readme.md

@@ -1,24 +1,24 @@
-# CSV-UTILS DOCUMENTATION
+# CSV-UTILITE DOCUMENTATION
 
-csv-util is a Python package designed to facilitate working with CSV files in a more convenient and Pythonic manner compared to the built-in csv module. It provides a set of modules with classes and functions to perform various tasks related to CSV file handling.
+csv-utilite is a Python package designed to facilitate working with CSV files in a more convenient and Pythonic manner compared to the built-in csv module. It provides a set of modules with classes and functions to perform various tasks related to CSV file handling.
 
 ## Installation
 
-You can install csv-util via pip:
+You can install csv-utilite via pip:
 
-```pip install csv-utils ```
+```pip install csv_utilite ```
 
 ## CORE MODULES
 
 ### Reader
 
 This module contains the Reader class, which extends the functionality of csv.reader. It offers additional features such as automatic type casting, handling missing values, and support for different dialects.
 
-``` from csv_util.reader import Reader ```
+``` from csv_utilite.reader import Reader ```
 
 ### Example usage
 ```python
-from csv_utils.reader import Reader 
+from csv_utilite.reader import Reader 
 
 with open('kano.csv', 'r') as file:
   reader = Reader(file, dialect='excel', type_cast=True, na_values=['', 'NULL'])
@@ -32,11 +32,11 @@ with open('kano.csv', 'r') as file:
 
 The writer.py module includes the Writer class, a subclass of csv.writer, enhanced with features like automatic type casting and support for different dialects.
 
-``` from csv_util.writer import Writer ```
+``` from csv_utilite.writer import Writer ```
 
 ### Example usage
 ```python
-from csv_utils.writer import Writer
+from csv_utilite.writer import Writer
 with open('output.csv', 'w', newline='') as file:
     writer = Writer(file, dialect='excel', na_rep='NA')
     writer.writerow([1, 2.5, True, None, 'abc'])
@@ -50,11 +50,11 @@ with open('output.csv', 'w', newline='') as file:
 This module provides functions for common operations on CSV data, such as filtering rows, sorting, merging multiple files, and handling headers.
 
 
-``` from csv_util.manipulation import filter_rows, sort_rows ```
+``` from csv_utilite.manipulation import filter_rows, sort_rows ```
 
 ### Example usage
 ```python
-from csv_utils.manipulation import filter_rows, sort_rows, merge_files  
+from csv_utilite.manipulation import filter_rows, sort_rows, merge_files  
 # Filter rows
 data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
 filtered_data = filter_rows(data, lambda row: sum(row) > 10)
@@ -76,13 +76,13 @@ merge_files(file_paths, output_path, dialect='excel', has_header=True)
 formatting.py includes functions for formatting CSV data, such as adding or removing quotes, handling newlines within fields, and customizing delimiters.
 
 
-``` from csv_util.formatting import add_quotes, remove_quotes ```
+``` from csv_utilite.formatting import add_quotes, remove_quotes ```
 
 ### Example usage
 
 ```python
 import csv
-from csv_utils.formating import quote_fields, remove_quotes, handle_newlines
+from csv_utilite.formating import quote_fields, remove_quotes, handle_newlines
 
 # Quote fields
 data = [['Name', 'Age', 'City'], ['John', 25, 'New York'], ['Jane', 30, 'London, UK']]
@@ -106,12 +106,12 @@ print(formatted_data)  # Output: [['Name', 'Address'], ['John', '123 Main St. Ne
 
 The validation.py module provides functions to validate CSV data against predefined rules or schemas, ensuring data integrity and consistency.
 
-``` from csv_util.validation import validate_schema ```
+``` from csv_utilite.validation import validate_schema ```
 
 ### Example usage
 
 ```python
-from csv_utils.validation import validate_rows, validate_headers
+from csv_utilite.validation import validate_rows, validate_headers
 # Validate rows
 data = [[1, 2, 3], [4, 'five', 6], [7, 8, 'nine']]
 validators = {
@@ -136,12 +136,13 @@ print(is_valid)  # Output: True
 This module contains functions to convert CSV data to and from other formats like JSON, Excel, SQL tables, etc.
 
 
-``` from csv_util.conversion import csv_to_json, json_to_csv ```
+``` from csv_utilite.conversion import csv_to_json, json_to_csv ```
 
 ### Example usage
 
-```pyhton 
-from csv_utils.conversion import csv_to_json, json_to_csv
+```python
+
+from csv_utilite.conversion import csv_to_json, json_to_csv
 # CSV to JSON
 data = [['Name', 'Age', 'City'], ['John', 25, 'New York'], ['Jane', 30, 'London']]
 json_data = csv_to_json(data[1:], headers=data[0], orient='records')
@@ -159,15 +160,15 @@ print(csv_data)  # Output: [['Name', 'Age', 'City'], ['John', 25, 'New York'], [
 The generation.py module includes functions to generate CSV files from various data sources, such as dictionaries, databases, or APIs.
 
 
-from csv_util.generation import generate_from_dict
+from csv_utilite.generation import generate_from_dict
 
 # Example usage
 
-``` from csv_utils.generation import generate_from_db, generate_from_dict ```
+``` from csv_utilite.generation import generate_from_db, generate_from_dict ```
 
 ```python
 
-from csv_utils.generation import generate_from_db, generate_from_dict
+from csv_utilite.generation import generate_from_db, generate_from_dict
 
 # Generate CSV from a dictionary
 data = {'Name': 'John', 'Age': 25, 'City': 'New York'}
@@ -194,4 +195,4 @@ All meaningful contributions are welcome.
 We appreciate any improvements, bug fixes, or new features you can contribute to this project. Feel free to fork this repository, make your changes, and submit a pull request.
 
 # Conclusion
-csv-util simplifies CSV file handling in Python by providing a comprehensive set of classes and functions for reading, writing, manipulating, formatting, validating, converting, and generating CSV data. With its intuitive API and enhanced features, csv-util is a valuable tool for data processing tasks involving CSV files.
+csv-utilite simplifies CSV file handling in Python by providing a comprehensive set of classes and functions for reading, writing, manipulating, formatting, validating, converting, and generating CSV data. With its intuitive API and enhanced features, csv-util is a valuable tool for data processing tasks involving CSV files.

setup.py

@@ -0,0 +1,26 @@
+from setuptools import setup, find_packages 
+
+setup(
+    name='csv_utilite',
+    version='1.0.0',
+    description='csv-util is a Python package designed to facilitate working with CSV files in a more convenient and Pythonic manner compared to the built-in csv module.',
+    long_description=open('README.md').read(),
+    long_description_content_type='text/markdown',
+    author='Khalil Habib Shariff',
+    author_email='[email protected]',
+    packages=find_packages(),
+    install_requires=[
+
+    ],
+    classifiers=[
+        'Development Status :: 3 - Alpha',
+        'Intended Audience :: Developers',
+        'Topic :: Software Development :: Build Tools',
+        'License :: OSI Approved :: MIT License',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7',
+        'Programming Language :: Python :: 3.8',
+        'Programming Language :: Python :: 3.9',
+    ],
+)

test/test_conversion.py

@@ -3,7 +3,7 @@
 from typing import Iterable, Any, Union, List, Dict, Optional
 import csv
 import json
-from csv_utils.conversion import csv_to_json, json_to_csv
+from csv_utilite.conversion import csv_to_json, json_to_csv
 
 class CSVUtilsTest(unittest.TestCase):
 

test/test_formating.py

@@ -2,7 +2,7 @@
 from unittest.mock import patch
 from typing import Iterable, Any, List, Optional
 import csv
-from csv_utils.formating import quote_fields, remove_quotes, handle_newlines
+from csv_utilite.formating import quote_fields, remove_quotes, handle_newlines
 
 
 class CSVUtilsTest(unittest.TestCase):

test/test_generation.py

@@ -2,7 +2,7 @@
 import os
 import tempfile
 from unittest.mock import patch, MagicMock
-from csv_utils.generation import generate_from_dict, generate_from_db
+from csv_utilities.generation import generate_from_dict, generate_from_db
 
 class TestGenerationModule(unittest.TestCase):
     def setUp(self):

test/test_manipulation.py

@@ -2,7 +2,7 @@
 import csv
 from unittest.mock import patch, MagicMock
 from typing import Iterable, Any, Callable, List, Dict, Optional
-from csv_utils.manipulation import filter_rows, sort_rows, merge_files 
+from csv_utilities.manipulation import filter_rows, sort_rows, merge_files 
 
 class CSVUtilsTest(unittest.TestCase):
 

test/test_reader.py

@@ -2,7 +2,7 @@
 from unittest.mock import patch, MagicMock
 import csv
 from typing import Iterator, Optional, Any, Union, List, Dict
-from reader import Reader
+from csv_utilities.reader import Reader
 
 class Reader(Reader):
     """

test/test_validation.py

@@ -1,7 +1,7 @@
 import unittest
 from unittest.mock import patch, MagicMock
 from typing import Iterable, Any, Callable, List, Dict, Optional
-from csv_utils.validation import validate_rows, validate_headers
+from csv_utilities.validation import validate_rows, validate_headers
 
 class CSVUtilsTest(unittest.TestCase):
 

test/test_writer.py

@@ -2,7 +2,7 @@
 from unittest.mock import patch, MagicMock
 import csv
 from typing import Iterable, Any, Union, Optional
-from csv_utils.writer import Writer
+from csv_utilities.writer import Writer
 
 
 class Writer(Writer):