Metadata-Version: 2.4
Name: japanese-address-parser-py
Version: 0.2.3
Classifier: Topic :: Text Processing
Classifier: Programming Language :: Rust
Classifier: Typing :: Typed
Summary: A library for processing addresses of Japan
Keywords: converter,utility,geo,rust
Author: Yuuki Toriyama <github@toriyama.dev>
Author-email: Yuuki Toriyama <github@toriyama.dev>
License: MIT
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Project-URL: Source Code, https://github.com/YuukiToriyama/japanese-address-parser

# japanese-address-parser-py

A Python toolkit for processing Japanese addresses

[![PyPI - Version](https://img.shields.io/pypi/v/japanese-address-parser-py)](https://pypi.org/project/japanese-address-parser-py/)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/japanese-address-parser-py)](https://pypi.org/project/japanese-address-parser-py/#history)
[![Unit test & Integration test](https://github.com/YuukiToriyama/japanese-address-parser/actions/workflows/run-test.yaml/badge.svg?branch=main)](https://github.com/YuukiToriyama/japanese-address-parser/actions/workflows/run-test.yaml)

## What is it?

**japanese-address-parser-py** is a Python package for parsing Japanese addresses.
Any address can be parsed into structured data.

## Installation from PyPI

```bash
pip install japanese-address-parser-py
```

## Usage

```python
from japanese_address_parser_py import Parser

address_list = [
    "埼玉県さいたま市浦和区高砂3-15-1",
    "千葉県千葉市中央区市場町1-1",
    "東京都新宿区西新宿2-8-1",
    "神奈川県横浜市中区日本大通1"
]
parser = Parser()
for address in address_list:
    parse_result = parser.parse(address)
    print(parse_result.address)
```

```text
{'prefecture': '埼玉県', 'town': '高砂三丁目', 'rest': '15-1', 'city': 'さいたま市浦和区'}
{'rest': '1-1', 'town': '市場町', 'prefecture': '千葉県', 'city': '千葉市中央区'}
{'prefecture': '東京都', 'rest': '8-1', 'town': '西新宿二丁目', 'city': '新宿区'}
{'town': '日本大通', 'city': '横浜市中区', 'prefecture': '神奈川県', 'rest': '1'}
```

```python
from japanese_address_parser_py import Parser

parser = Parser()
address = "神奈川県横浜市中区本町6丁目50-10"
parse_result = parser.parse(address)
print(parse_result.address["prefecture"])
print(parse_result.address["city"])
print(parse_result.address["town"])
print(parse_result.address["rest"])
```

```text
神奈川県
横浜市中区
本町六丁目
50-10
```

## Development

This library is written in Rust. You need to set up a Rust development environment to build this library.
Also, you need to install `maturin` as this library uses it in order to generate Python bindings.

```bash
# Install maturin
cargo install --locked maturin
# Clone repository
git clone https://github.com/YuukiToriyama/japanese-address-parser.git
# Build python module
cd japanse-address-parser/python
maturin build --release --out dist --find-interpreter
# Install the built library
python3 -m venv .venv
pip3 install dist/japanese_address_parser_py-[version]-cp37-abi3-[arch].whl
```

## Support

This software is maintained by [YuukiToriyama](https://github.com/yuukitoriyama).
If you have any questions, please create a new issue.

## Where to get source code

The source code is hosted on GitHub at:
https://github.com/YuukiToriyama/japanese-address-parser

## Acknowledgements

This software was inspired
by [@geolonia/normalize-japanese-addresses](https://github.com/geolonia/normalize-japanese-addresses).  
In addition, the parsing process uses [Geolonia 住所データ](https://github.com/geolonia/japanese-addresses) which is
provided by [株式会社Geolonia](https://www.geolonia.com/company/).

## License

This crate is distributed under the terms of the MIT license.

