import re
import sys
from pathlib import Path
TRANSLATIONS = {
"V2统一客户端 - 下一代LLM客户端接口": "V2 Unified Client - Next-generation LLM client interface",
"这个模块提供统一的客户端接口，支持所有LLM服务提供商": "This module provides a unified client interface supporting all LLM service providers",
"统一LLM客户端": "Unified LLM Client",
"这个客户端提供统一的接口来访问各种LLM服务": "This client provides a unified interface to access various LLM services",
"使用V2架构的清晰抽象层": "using V2 architecture's clean abstraction layer",
"示例": "Example",
"参数": "Parameters",
"返回": "Returns",
"错误": "Errors",
"阿里云DashScope": "Aliyun DashScope",
"智谱GLM": "Zhipu GLM",
"火山引擎": "Volcengine",
"腾讯云混元": "Tencent Hunyuan",
"月之暗面": "Moonshot",
"从任何Provider创建客户端": "Create client from any Provider",
"创建OpenAI客户端": "Create OpenAI client",
"创建带有自定义基础URL的OpenAI客户端": "Create OpenAI client with custom base URL",
"创建Azure OpenAI客户端": "Create Azure OpenAI client",
"创建阿里云DashScope客户端": "Create Aliyun DashScope client",
"创建Anthropic Claude客户端": "Create Anthropic Claude client",
"创建智谱GLM客户端": "Create Zhipu GLM client",
"创建智谱GLM客户端 (OpenAI兼容模式)": "Create Zhipu GLM client (OpenAI compatible mode)",
"创建Ollama客户端 (默认本地地址)": "Create Ollama client (default local address)",
"创建带有自定义URL的Ollama客户端": "Create Ollama client with custom URL",
"创建OpenAI兼容服务客户端": "Create OpenAI-compatible service client",
"创建LongCat Anthropic格式客户端": "Create LongCat Anthropic format client",
"创建带有自定义配置的LongCat Anthropic客户端": "Create LongCat Anthropic client with custom configuration",
"创建火山引擎（Volcengine）客户端": "Create Volcengine client",
"创建带有自定义配置的火山引擎客户端": "Create Volcengine client with custom configuration",
"创建腾讯云混元（Tencent Hunyuan）客户端": "Create Tencent Hunyuan client",
"创建带有自定义配置的腾讯云混元客户端": "Create Tencent Hunyuan client with custom configuration",
"创建 Moonshot（月之暗面）客户端": "Create Moonshot client",
"创建带有自定义配置的 Moonshot 客户端": "Create Moonshot client with custom configuration",
"创建 DeepSeek 客户端": "Create DeepSeek client",
"创建带有自定义配置的 DeepSeek 客户端": "Create DeepSeek client with custom configuration",
"高级构造函数 - 自定义配置": "Advanced Constructors - Custom Configuration",
"创建带有自定义配置的OpenAI客户端": "Create OpenAI client with custom configuration",
"创建带有自定义配置的Aliyun客户端": "Create Aliyun client with custom configuration",
"创建Aliyun国际版客户端": "Create Aliyun international client",
"创建Aliyun专有云客户端": "Create Aliyun private cloud client",
"创建带有自定义超时的Aliyun客户端": "Create Aliyun client with custom timeout",
"创建带有自定义配置的Anthropic客户端": "Create Anthropic client with custom configuration",
"创建Anthropic Vertex AI客户端": "Create Anthropic Vertex AI client",
"创建Anthropic AWS Bedrock客户端": "Create Anthropic AWS Bedrock client",
"创建带有自定义超时的Anthropic客户端": "Create Anthropic client with custom timeout",
"创建带有自定义配置的Zhipu客户端": "Create Zhipu client with custom configuration",
"创建带有自定义超时的Zhipu客户端": "Create Zhipu client with custom timeout",
"创建Zhipu企业版客户端": "Create Zhipu enterprise client",
"创建带有自定义配置的Ollama客户端": "Create Ollama client with custom configuration",
"获取提供商名称": "Get provider name",
"发送聊天完成请求": "Send chat completion request",
"发送流式聊天完成请求": "Send streaming chat completion request",
"获取可用模型列表": "Get available models list",
"获取底层提供商的引用 (用于特殊功能访问)": "Get reference to underlying provider (for special feature access)",
"类型安全的Provider转换方法": "Type-safe Provider conversion methods",
"尝试将客户端转换为OllamaProvider": "Try to convert client to OllamaProvider",
"OpenAI API密钥": "OpenAI API key",
"API密钥": "API key",
"自定义基础URL": "Custom base URL",
"Azure OpenAI API密钥": "Azure OpenAI API key",
"Azure OpenAI端点": "Azure OpenAI endpoint",
"API版本": "API version",
"Anthropic API密钥 (格式: sk-ant-...)": "Anthropic API key (format: sk-ant-...)",
"服务基础URL": "Service base URL",
"服务名称": "Service name",
"Ollama服务的URL": "Ollama service URL",
"聊天请求": "Chat request",
"聊天响应": "Chat response",
"聊天流": "Chat stream",
"模型名称列表": "List of model names",
"如果底层Provider是OllamaProvider，返回Some引用，否则返回None": "Returns Some reference if underlying Provider is OllamaProvider, otherwise None",
"可以进行类型转换以访问特定提供商的功能": "Can perform type conversion to access provider-specific features",
"创建请求": "Create request",
"发送请求": "Send request",
"创建": "Create",
"获取": "Get",
"设置": "Set",
"检查": "Check",
"验证": "Validate",
"转换": "Convert",
"解析": "Parse",
"构建": "Build",
"初始化": "Initialize",
"火山引擎使用 OpenAI 兼容的 API 格式，但端点路径不同": "Volcengine uses OpenAI-compatible API format, but with different endpoint paths",
"腾讯云混元使用 OpenAI 兼容的 API 格式": "Tencent Hunyuan uses OpenAI-compatible API format",
"Moonshot 使用 OpenAI 兼容的 API 格式": "Moonshot uses OpenAI-compatible API format",
"DeepSeek 使用 OpenAI 兼容的 API 格式，支持推理模型": "DeepSeek uses OpenAI-compatible API format, supports reasoning models",
"LongCat的Anthropic端点使用Bearer认证而不是标准的x-api-key认证": "LongCat's Anthropic endpoint uses Bearer authentication instead of standard x-api-key authentication",
"支持多模态内容，包括文本、图片等": "Supports multi-modal content including text, images, etc.",
"一条消息可以包含多个内容块，支持文本、图片等多模态内容": "A message can contain multiple content blocks, supporting multi-modal content like text, images, etc.",
"可配置的协议适配器 - 配置驱动的抽象": "Configurable Protocol Adapter - Configuration-driven abstraction",
"这个模块提供了一个通用的协议适配器，通过配置来定制行为，": "This module provides a generic protocol adapter that customizes behavior through configuration,",
"可配置的协议适配器": "Configurable Protocol Adapter",
"包装一个基础协议，通过配置来修改其行为（端点路径、认证方式等）。": "Wraps a base protocol and modifies its behavior through configuration (endpoint paths, authentication methods, etc.).",
"协议配置": "Protocol Configuration",
"定义协议的静态配置，包括名称、端点、认证方式等。": "Defines static configuration for the protocol, including name, endpoints, authentication methods, etc.",
"端点配置": "Endpoint Configuration",
"定义 API 端点的路径模板，支持 `{base_url}` 变量替换。": "Defines API endpoint path templates, supporting `{base_url}` variable substitution.",
"支持变量: `{base_url}`": "Supports variable: `{base_url}`",
"认证配置": "Authentication Configuration",
"定义如何处理 API 认证。": "Defines how to handle API authentication.",
"Create新的可配置协议适配器": "Create new configurable protocol adapter",
"Create一个使用标准 OpenAI 端点和 Bearer 认证的配置。": "Create a configuration using standard OpenAI endpoints and Bearer authentication.",
"提供统一的HTTP通信层，支持标准请求和流式请求。": "Provides unified HTTP communication layer, supporting standard and streaming requests.",
"封装了HTTP通信的所有细节，包括认证、超时、代理等配置。": "Encapsulates all HTTP communication details, including authentication, timeout, proxy configuration, etc.",
"支持": "Support",
"包含": "Contains",
"定义": "Define",
"提供": "Provide",
"使用": "Use",
"通过": "Through",
"包括": "Including",
"等": "etc.",
"协议名称": "Protocol name",
"模型列表端点模板（可选）": "Model list endpoint template (optional)",
"基础协议实例": "Base protocol instance",
"便捷构造器 - OpenAI 兼容协议": "Convenience constructor - OpenAI compatible protocol",
"从内部协议提取 token": "Extract token from internal protocol",
"这是一个辅助方法，用于从内部协议的认证头中提取 token。": "This is a helper method to extract token from the internal protocol's authentication headers.",
"HTTP客户端实现 - V2架构": "HTTP Client Implementation - V2 Architecture",
"HTTP客户端": "HTTP Client",
"Create新的HTTP客户端": "Create new HTTP client",
"Create带有自Define配置的HTTP客户端": "Create HTTP client with custom configuration",
"添加请求头": "Add request headers",
"添加单个请求头": "Add single request header",
"发送GET请求": "Send GET request",
"添加所有配置的请求头": "Add all configured request headers",
"发送POST请求": "Send POST request",
"发送流式POST请求": "Send streaming POST request",
"发送带有自Define头的POST请求": "Send POST request with custom headers",
"再添加配置的请求头 (可能会覆盖自Define头)": "Then add configured headers (may override custom headers)",
"HTTP客户端实现": "HTTP client implementation",
"协议trait - Define纯API规范": "Protocol trait - Defines pure API specification",
"这个trait代表一个LLM API的协议规范，如OpenAI API、Anthropic APIetc.。": "This trait represents an LLM API protocol specification, such as OpenAI API, Anthropic API, etc.",
"协议特定的请求类型": "Protocol-specific request type",
"协议特定的响应类型": "Protocol-specific response type",
"协议名称 (如 \"openai\", \"anthropic\")": "Protocol name (e.g., \"openai\", \"anthropic\")",
"Get模型列表的端点URL (可选)": "Get model list endpoint URL (optional)",
"Build协议特定的请求": "Build protocol-specific request",
"Parse协议特定的响应": "Parse protocol-specific response",
"Parse模型列表响应": "Parse model list response",
"Parse流式响应 (可选)": "Parse streaming response (optional)",
"流式聊天完成": "Streaming chat completion",
"Get协议引用": "Get protocol reference",
"Get客户端引用": "Get client reference",
"Parse响应": "Parse response",
"Provide链式调用的 API 来Build Provider，统一处理所有配置项。": "Provides fluent API to build Provider, handling all configuration items uniformly.",
"协议实例": "Protocol instance",
"注意：这些头部会与协议的认证头部合并。": "Note: These headers will be merged with the protocol's authentication headers.",
"配置好的 GenericProvider 实例": "Configured GenericProvider instance",
"如果 HTTP 客户端Create失败，ReturnsErrors": "Returns error if HTTP client creation fails",
"Create HTTP 客户端": "Create HTTP client",
"CreateAliyun DashScope客户端": "Create Aliyun DashScope client",
"CreateZhipu GLM客户端": "Create Zhipu GLM client",
"CreateZhipu GLM客户端 (OpenAI兼容模式)": "Create Zhipu GLM client (OpenAI compatible mode)",
"CreateVolcengine（Volcengine）客户端": "Create Volcengine client",
"Create带有自Define配置的Volcengine客户端": "Create Volcengine client with custom configuration",
"CreateTencent Hunyuan（Tencent Hunyuan）客户端": "Create Tencent Hunyuan client",
"模型": "model",
"配置": "configuration",
"客户端": "client",
"协议": "protocol",
"适配器": "adapter",
"提供商": "provider",
"请求": "request",
"响应": "response",
"流式": "streaming",
"工具": "tool",
"函数": "function",
"调用": "call",
"端点": "endpoint",
"认证": "authentication",
"头部": "headers",
"实例": "instance",
"方法": "method",
"辅助": "helper",
"构造器": "constructor",
"便捷": "convenience",
"自Define": "custom",
"自定义": "custom",
"可选": "optional",
"注意": "Note",
"如果": "if",
"失败": "fails",
"成功": "success",
"错误": "error",
"返回": "return",
"等。": "etc.",
"如": "such as",
"例如": "e.g.",
"或": "or",
"和": "and",
"的": "",
"了": "",
"与": "with",
"为": "as",
"是": "is",
"在": "in",
"从": "from",
"到": "to",
"会": "will",
"可能": "may",
"所有": "all",
"这个": "this",
"这些": "these",
"一个": "a",
"用于": "for",
"来": "to",
"消息内容块Define": "Message Content Block Definition",
"消息内容块": "Message Content Block",
"文本块": "Text block",
"图片块（Base64）": "Image block (Base64)",
"图片块（URL）": "Image block (URL)",
"图片块（Anthropic 格式）": "Image block (Anthropic format)",
"图片 URL 块（OpenAI 格式）": "Image URL block (OpenAI format)",
"Create文本块": "Create text block",
"Create Base64 图片块（Anthropic 格式）": "Create Base64 image block (Anthropic format)",
"媒体类型，such as \"image/jpeg\", \"image/png\"": "Media type, such as \"image/jpeg\", \"image/png\"",
"Base64 编码图片数据": "Base64 encoded image data",
"Create图片 URL 块（Anthropic 格式）": "Create image URL block (Anthropic format)",
"Create图片 URL 块（OpenAI 格式）": "Create image URL block (OpenAI format)",
"Create图片 URL 块（OpenAI 格式，带 detail Parameters）": "Create image URL block (OpenAI format, with detail parameter)",
"图片 URL": "Image URL",
"图片细节级别，optional值: \"auto\", \"low\", \"high\"": "Image detail level, optional values: \"auto\", \"low\", \"high\"",
"Get文本内容（ifis文本块）": "Get text content (if is text block)",
"判断is否as文本块": "Check if is text block",
"判断is否as图片块": "Check if is image block",
"图片to源（Anthropic 格式）": "Image source (Anthropic format)",
"Base64 编码图片": "Base64 encoded image",
"媒体类型，such as \"image/jpeg\", \"image/png\"": "Media type, such as \"image/jpeg\", \"image/png\"",
"图片 URL": "Image URL",
"图片细节级别": "Image detail level",
"optional值: \"auto\", \"low\", \"high\"": "Optional values: \"auto\", \"low\", \"high\"",
"Provider-specific reasoning content (GLM 风格)": "Provider-specific reasoning content (GLM style)",
"Provider-specific reasoning (Qwen/DeepSeek/OpenAI o1 通用键)": "Provider-specific reasoning (Qwen/DeepSeek/OpenAI o1 common key)",
"Provider-specific thought (OpenAI o1 键)": "Provider-specific thought (OpenAI o1 key)",
"Provider-specific thinking (Anthropic 键)": "Provider-specific thinking (Anthropic key)",
"Reasoning (Qwen/DeepSeek/OpenAI o1 通用键)": "Reasoning (Qwen/DeepSeek/OpenAI o1 common key)",
"Thought (OpenAI o1 键)": "Thought (OpenAI o1 key)",
"Thinking (Anthropic 键)": "Thinking (Anthropic key)",
"避免as每个 Provider 编写重复样板代码。": "Avoids writing repetitive boilerplate code for each Provider.",
"额外静态headers": "Additional static headers",
"聊天endpoint模板": "Chat endpoint template",
"例such as: `\"{base_url}/v1/chat/completions\"`": "Example: `\"{base_url}/v1/chat/completions\"`",
"例such as: `\"{base_url}/v1/models\"`": "Example: `\"{base_url}/v1/models\"`",
"生成: `Authorization: Bearer {token}`": "Generates: `Authorization: Bearer {token}`",
"生成: `{header_name}: {token}`": "Generates: `{header_name}: {token}`",
"Header 名称": "Header name",
"无authentication": "No authentication",
"customauthentication（Through闭包）": "Custom authentication (through closure)",
"闭包接收 token，Returnsheaders列表": "Closure receives token, returns headers list",
"我is豆包": "I am Doubao",
"风格": "style",
"通用键": "common key",
"键": "key",
"as": "as",
"is": "is",
"if": "if",
"to": "to",
"such as": "such as",
"例": "Example",
"such as": "such as",
"编码": "encoded",
"数据": "data",
"内容": "content",
"判断": "Check",
"否": "if",
"源": "source",
"级别": "level",
"值": "values",
"额外": "Additional",
"静态": "static",
"模板": "template",
"生成": "Generates",
"名称": "name",
"无": "No",
"接收": "receives",
"列表": "list",
"避免": "Avoids",
"每个": "each",
"编写": "writing",
"重复": "repetitive",
"样板": "boilerplate",
"代码": "code",
}
def translate_line(line):
for chinese, english in TRANSLATIONS.items():
if chinese in line:
line = line.replace(chinese, english)
return line
def translate_file(filepath):
with open(filepath, 'r', encoding='utf-8') as f:
content = f.read()
lines = content.split('\n')
translated_lines = [translate_line(line) for line in lines]
translated_content = '\n'.join(translated_lines)
if translated_content != content:
with open(filepath, 'w', encoding='utf-8') as f:
f.write(translated_content)
return True
return False
def main():
src_dir = Path('src')
rust_files = list(src_dir.rglob('*.rs'))
translated_count = 0
for filepath in rust_files:
if translate_file(filepath):
print(f"Translated: {filepath}")
translated_count += 1
print(f"\nTotal files translated: {translated_count}/{len(rust_files)}")
if __name__ == '__main__':
main()