smith-utils 0.1.0

A utility library for data cleaning and parsing.

smith-utils

Smith Utils is a central hub for data cleaning and parsing scripts. This package consolidates distributed utility functions to improve code reuse and maintenance efficiency across all yeiichi projects.

Key Features

📅 Datetime Utilities (smith_utils.datetime)

Robust date parsing and formatting.

• ensure_date: Flexible conversion of strings, datetime.date objects, or None (returns today) into a date object.
• parse_strict_date: Strict parsing for YYYYMMDD or YYYY-MM-DD formats, rejecting ambiguous inputs.
• format_ordinal: Converts integers to ordinal strings (e.g., 1 → "1st", 22 → "22nd").

🔢 Numeric Refinement (smith_utils.numeric)

Clean and parse messy numeric data.

• parse_numeric_value: Handles custom separators, decimals, and negative formats like (1,234.56).
• parse_currency_value: Alias for numeric parsing, specifically for currency strings.

📝 Text Normalization & Metrics (smith_utils.text)

Standardize text and compare string similarity.

• normalize_text: Unicode NFKC normalization, case folding, and whitespace handling.
• StringDistance: Implementation of Damerau-Levenshtein and Jaro-Winkler algorithms for fuzzy matching.

Installation

Install via pip:

pip install smith-utils

Quick Start

from smith_utils.datetime.date_utils import ensure_date
from smith_utils.numeric.refinement import parse_numeric_value
from smith_utils.text.normalization import normalize_text

# Datetime
date = ensure_date("20231225") # datetime.date(2023, 12, 25)

# Numeric
value = parse_numeric_value("(1,250.50)") # -1250.5

# Text
clean_text = normalize_text("  Ｓｍｉｔｈ  Ｕｔｉｌｓ  ") # "smith utils"

Directory Structure

• src/smith_utils/: Main package source.
• legacy/: Legacy scripts and templates (not included in distribution).
• tests/: Comprehensive test suite.

License

This project is licensed under the MIT License - see the LICENSE file for details.