geothai 2.0.0

An python package that allows to access detailed geographic data on Thailand, including provinces, districts, subdistricts and postal codes. 🌟

GeoThai Python Library

Welcome to the GeoThai Python Library! This library provides a simple and efficient way to access detailed geographic data for Thailand, including provinces, districts, and subdistricts.

🌏 Overview

This Python library allows you to:

• Retrieve information about provinces, districts, and subdistricts in Thailand.
• Filter geographic data based on specific criteria.
• Integrate geographic data into your Python applications with ease.

🚀 Installation

You can install the GeoThai Python Library via pip:

pip install geothai

📚 Usage

Importing the Library

from geothai import (
    get_all_provinces,
    get_province_by_code,
    get_provinces_by_criterion,
    Province
)

Retrieving All Provinces

provinces = get_all_provinces()
print(provinces)

Getting a Province by ID

province = get_province_by_code(10)  # Replace 10 with the desired province_id
print(province)

Filtering Provinces by Criteria

criteria: Province = {"name_th": "กรุงเทพมหานคร"}
matching_provinces = get_provinces_by_criterion(criteria)
print(matching_provinces)

Similarly, You Can Access Districts, Subdistricts and Postal Codes

districts = get_all_districts()
subdistricts = get_all_subdistricts()
postal_codes = get_all_postal_codes()

📂 Project Structure

The project is structured as follows:

• geothai/data/: Contains the data files for provinces, districts, and subdistricts.
• geothai/services/: Contains the main services for accessing province, district, and subdistrict data.
• geothai/types/: Includes type definitions for provinces, districts, subdistricts, and postal codes.
• geothai/utils/: Includes utility functions like criteria matching for filtering data.

🛠 Development

To contribute to the development of this library:

1. Clone the repository:

git clone https://github.com/GeoThai/python-library.git

2. Install the required dependencies:

pip install -r requirements.txt

3. Run the tests:

pytest

🤝 Contributing

We welcome contributions to enhance the functionality of this library. Please check the CONTRIBUTING.md for guidelines on how to contribute.

📄 License

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

🙋‍♂️ Contact

If you have any questions, issues, or suggestions, feel free to reach out at [e-mail].