pyhscodes 2.0.1

Harmonized System (HS) codes from the World Customs Organization with hierarchical structure and search capabilities

pyhscodes

A Python package for working with Harmonized System (HS) codes from the World Customs Organization. Built on the foundation of the popular pycountry package, pyhscodes provides a similar API for HS codes with hierarchical structure and search capabilities.

Features

• Complete HS Code Database: Contains 6,940+ HS codes with full hierarchical structure
• Regulatory Standards: Built-in support for EUDR, EUTR, and CBAM with extensible standards framework
• Section Support: All 21 HS code sections with descriptions
• Hierarchical Navigation: Navigate from chapters (2-digit) to headings (4-digit) to subheadings (6-digit)
• Fuzzy Search: Find codes by description text
• Fast Lookups: Optimized indexing for quick code retrieval
• Pythonic API: Clean, intuitive interface similar to pycountry

Installation

pip install pyhscodes

Quick Start

import pyhscodes

# Basic statistics
print(f"Total HS codes: {len(pyhscodes.hscodes)}")
print(f"Total sections: {len(pyhscodes.sections)}")

# Get a specific code
animals = pyhscodes.hscodes.get(hscode="01")
print(f"{animals.hscode}: {animals.description}")

# Get children of a code
children = pyhscodes.hscodes.get_children("01")
for child in children:
    print(f"  {child.hscode}: {child.description}")

# Get full hierarchy
hierarchy = pyhscodes.hscodes.get_hierarchy("010121")
for code in hierarchy:
    print(f"{code.hscode}: {code.description} (Level {code.level})")

# Fuzzy search
results = pyhscodes.hscodes.search_fuzzy("dairy")
for result in results[:3]:
    print(f"{result.hscode}: {result.description}")

# Check regulatory standards
timber = pyhscodes.hscodes.get(hscode="4401")
print(f"Standards: {timber.standards}")  # e.g., ["EUDR", "EUTR"]
print(f"EUDR applicable: {timber.EUDR}")

API Reference

HS Codes

pyhscodes.hscodes

The main database of HS codes.

Properties:

• hscode: The HS code (e.g., "010121")
• description: Description of the code
• section: Which section this code belongs to
• parent: Parent code in the hierarchy
• level: Code level ("2", "4", or "6")
• standards: List of applicable regulatory standards (e.g., ["EUDR", "CBAM"])
• EUDR: Boolean indicating EU Deforestation Regulation applicability
• EUTR: Boolean indicating EU Timber Regulation applicability
• CBAM: Boolean indicating Carbon Border Adjustment Mechanism applicability
• is_chapter: True if this is a 2-digit chapter
• is_heading: True if this is a 4-digit heading
• is_subheading: True if this is a 6-digit subheading

Methods:

• get(hscode="01"): Get a specific code
• lookup("01"): Lookup by code or description
• search_fuzzy("horses"): Fuzzy search by description
• get_by_level("2"): Get all codes at a specific level
• get_children("01"): Get child codes
• get_hierarchy("010121"): Get full hierarchy path

Sections

pyhscodes.sections

Database of HS code sections.

Properties:

• section: Section identifier (e.g., "I", "II")
• name: Section name/description

Methods:

• get(section="I"): Get a specific section

Data Structure

HS codes follow a hierarchical structure:

• Sections: 21 major groupings (I through XXI)
• Chapters: 97 two-digit codes (01, 02, ..., 97)
• Headings: 1,229+ four-digit codes (0101, 0102, ...)
• Subheadings: 5,613+ six-digit codes (010121, 010122, ...)

Example hierarchy:

Section I: Live animals; animal products
├── 01: Animals; live
    ├── 0101: Horses, asses, mules and hinnies; live
        ├── 010121: Horses; live, pure-bred breeding animals
        └── 010129: Horses; live, other than pure-bred breeding animals

Examples

See example.py for a comprehensive demonstration of the package features.

Development

Setting up for development

git clone https://github.com/yourusername/pyhscodes.git
cd pyhscodes
pip install -e .

Running tests

pytest src/pyhscodes/tests/

Data Updates

To update the HS codes database:

1. Place your CSV files in the project root:

   • harmonized-system-with-standards.csv (columns: section, hscode, description, parent, level, EUDR, EUTR, CBAM)
   • sections.csv (columns: section, name)

2. Run the conversion script:

   python convert_csv_to_json.py
   

Changelog

2.0.0 (Breaking Change)

• Added standards array: Each HS code now includes a standards list containing the names of applicable regulatory standards (e.g., ["EUDR", "CBAM"])
• Added regulatory standard flags: Each HS code now includes boolean fields for EU regulatory standards:
  • EUDR: EU Deforestation Regulation applicability
  • EUTR: EU Timber Regulation applicability
  • CBAM: Carbon Border Adjustment Mechanism applicability
• Extensible standards: New standards can be added by including uppercase columns in the CSV source
• Data source changed: Now uses harmonized-system-with-standards.csv instead of harmonized-system.csv
• Breaking: HS code entries now have additional fields that may affect serialization or data processing

1.0.x

• Initial release with core HS code database
• Hierarchical navigation and fuzzy search
• Section support

License

This project is licensed under the LGPL-2.1 License - see the LICENSE file for details.

Acknowledgments

• Built on the foundation of pycountry
• HS codes from the World Customs Organization
• Inspired by the need for a Python package similar to pycountry but for trade classification codes