json-trans 0.2.1

A tool for translating JSON files from English to Chinese using multiple translation APIs

json-trans

A Python tool for translating JSON files from English to Chinese, supporting multiple translation APIs.

一个支持多种翻译API的JSON文件英译中工具。

Features | 特性

• Translate JSON files while preserving structure
• Support for multiple translation services:
  • Baidu Translate API
  • Google Cloud Translation API
  • Google Gemini API
• Automatic handling of nested JSON structures
• Customizable fields for translation
• Type hints for better IDE support
• Comprehensive test coverage

---

• 在保持结构的同时翻译JSON文件
• 支持多种翻译服务：
  • 百度翻译API
  • 谷歌云翻译API
  • 谷歌 Gemini API
• 自动处理嵌套的JSON结构
• 支持自定义翻译字段
• 提供类型提示以获得更好的IDE支持
• 全面的测试覆盖

Installation | 安装

pip install json-trans

Quick Start | 快速开始

Using Baidu Translate API | 使用百度翻译API

from json_trans import translate_json_baidu

translate_json_baidu(
    input_file="input.json",
    output_file="output.json",
    app_id="your_baidu_app_id",
    secret_key="your_baidu_secret_key",
    fields_to_translate=["title", "content", "description"]  # Required | 必需
)

Using Google Cloud Translation API | 使用谷歌云翻译API

from json_trans import translate_json_google

translate_json_google(
    input_file="input.json",
    output_file="output.json",
    fields_to_translate=["summary", "details", "text"],  # Required | 必需
    credentials_path="path/to/google_credentials.json"  # Optional | 可选
)

Using Google Gemini API | 使用谷歌 Gemini API

from json_trans import translate_json_gemini

# Basic usage | 基本用法
translate_json_gemini(
    input_file="input.json",
    output_file="output.json",
    api_key="your_gemini_api_key",
    fields_to_translate=["title", "content", "description"]
)

# With custom model and role | 使用自定义模型和角色
translate_json_gemini(
    input_file="input.json",
    output_file="output.json",
    api_key="your_gemini_api_key",
    fields_to_translate=["title", "content", "description"],
    model="gemini-pro",  # Optional | 可选
    role="translator"    # Optional | 可选
)

Configuration | 配置

Environment Variables | 环境变量

You can set up environment variables for different environments: 可以为不同环境设置环境变量：

# Baidu Translate API credentials
BAIDU_APP_ID=your_baidu_app_id
BAIDU_SECRET_KEY=your_baidu_secret_key

# Google Gemini API configuration
GEMINI_API_KEY=your_gemini_api_key
GEMINI_MODEL=gemini-2.0-flash-exp

# Google Cloud Translation credentials path
GOOGLE_CREDENTIALS_PATH=path/to/your/credentials.json

API Configuration | API配置

1. Baidu Translate API:

   • Register at Baidu Translate
   • Get your APP ID and Secret Key

2. Google Cloud Translation API:

   • Create a project in Google Cloud Console
   • Enable the Cloud Translation API
   • Create a service account and download credentials

3. Google Gemini API:

   • Get API key from Google AI Studio
   • Choose appropriate model (default: gemini-2.0-flash-exp)

Development | 开发

Setup | 设置

# Clone the repository | 克隆仓库
git clone https://github.com/liyown/json-trans.git
cd json-trans

# Install dependencies | 安装依赖
poetry install

# Set up environment variables | 设置环境变量
cp .env.example .env
# Edit .env with your credentials | 编辑 .env 填入您的凭证

# Run tests | 运行测试
poetry run pytest

Testing | 测试

# Run all tests | 运行所有测试
poetry run pytest

# Run with coverage report | 运行并生成覆盖率报告
poetry run pytest --cov

# Run specific test | 运行特定测试
poetry run pytest tests/test_translator.py::test_json_translator_init

Contributing | 贡献

1. Fork the repository | 复刻仓库
2. Create your feature branch | 创建特性分支
3. Commit your changes | 提交更改
4. Push to the branch | 推送到分支
5. Open a Pull Request | 开启拉取请求

License | 许可证

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

本项目采用MIT许可证 - 查看LICENSE文件了解详情。

Authors | 作者

• CuiZhengPeng & Liuyaowen

Changelog | 更新日志

0.2.0

• Added Google Gemini API support
• Added environment variables support
• Improved test coverage
• Added custom model selection for Gemini API

0.1.1

• Initial release
• Support for Baidu and Google Cloud Translation APIs
• Basic JSON translation functionality

Acknowledgments | 致谢

• Thanks to Baidu Translate API, Google Cloud Translation API, and Google Gemini API for providing translation services
• Built with Poetry