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全部 > AI技術 > AI編程 > AI代碼生成 > 生成跨語言RPC接口定義文件

生成跨語言RPC接口定義文件

claude3.5 sonnet 20241022（Anthropic）

## Interface Definition Overview This document outlines the gRPC interface definitions for the `UserService`, which includes methods for creating and retrieving user information. The definitions are structured to facilitate cross-language and cross-platform RPC service interactions. ## IDL Source Code ```proto syntax = "proto3"; package user; // CreateUserRequest represents the request structure for creating a user. message CreateUserRequest { string userId = 1; // Unique identifier for the user string userName = 2; // Name of the user string email = 3; // Email address of the user string password = 4; // Password for the user account } // CreateUserResponse represents the response structure for creating a user. message CreateUserResponse { string status = 1; // Status of the user creation string message = 2; // Additional message regarding the creation } // GetUserRequest represents the request structure for retrieving a user. message GetUserRequest { string userId = 1; // Unique identifier for the user to retrieve } // GetUserResponse represents the response structure for retrieving a user. message GetUserResponse { string userId = 1; // Unique identifier for the user string userName = 2; // Name of the user string email = 3; // Email address of the user string status = 4; // Status of the user } // UserService defines the RPC service for user management. service UserService { rpc CreateUser(CreateUserRequest) returns (CreateUserResponse); // Method to create a user rpc GetUser(GetUserRequest) returns (GetUserResponse); // Method to retrieve a user } ``` ## Type Mapping Explanation (Optional) - **Basic Types**: - `string` in proto maps to `string` in languages like Java, Go, Python, Node.js, and C#. - **Message Structures**: - Each message defined in the proto file corresponds to a structured object in the respective programming languages, facilitating easy serialization and deserialization of data. This interface definition adheres to the official gRPC standards and provides clear comments for each field to enhance usability and maintainability.

DeepSeek V3（Deepseek）

```markdown # gRPC 接口定義文件生成結果 ## Interface Definition Overview 1. 服務名稱：`UserService` 2. 包含方法： - `CreateUser`: 創建用戶接口 - `GetUser`: 獲取用戶信息接口 3. 協議版本：`proto3` 4. 主要數據結構： - 請求結構體：`CreateUserRequest`, `GetUserRequest` - 響應結構體：`CreateUserResponse`, `GetUserResponse` ## IDL Source Code (proto3) ```proto syntax = "proto3"; package userservice; option go_package = ".;userservice"; // 用戶服務 service UserService { // 創建用戶 rpc CreateUser (CreateUserRequest) returns (CreateUserResponse); // 獲取用戶信息 rpc GetUser (GetUserRequest) returns (GetUserResponse); } // 創建用戶請求 message CreateUserRequest { string user_id = 1; // 用戶ID string user_name = 2; // 用戶名 string email = 3; // 電子郵箱 string password = 4; // 密碼 } // 創建用戶響應 message CreateUserResponse { string status = 1; // 狀態碼 string message = 2; // 返回消息 } // 獲取用戶請求 message GetUserRequest { string user_id = 1; // 用戶ID } // 獲取用戶響應 message GetUserResponse { string user_id = 1; // 用戶ID string user_name = 2; // 用戶名 string email = 3; // 電子郵箱 string status = 4; // 賬戶狀態 } ``` ## Type Mapping Explanation 1. 基礎類型映射： - `string` → proto3 `string` 2. 字段編號規則： - 從1開始順序編號 - 建議預留5-15號字段用于未來擴展 3. 命名規范： - 服務名：PascalCase - 方法名：PascalCase - 消息類型：PascalCase + Request/Response - 字段名：snake_case ## 使用建議 1. 生成對應語言代碼： ```sh # 生成Go代碼 protoc --go_out=. --go_opt=paths=source_relative \ --go-grpc_out=. --go-grpc_opt=paths=source_relative \ user_service.proto ``` 2. 建議添加的元信息： ```proto option java_multiple_files = true; option java_package = "com.example.userservice"; option java_outer_classname = "UserServiceProto"; ``` ```

gpt-4o（OpenAI）

# Interface Definition Overview This document provides a gRPC interface definition for a user service named `UserService`. The service supports two methods: `CreateUser` and `GetUser`. Each method specifies both request and response message structures. The interface is defined using Protocol Buffers (`.proto`), which is the IDL (Interface Definition Language) used by gRPC to auto-generate service stubs in various programming languages. # IDL Source Code ```proto syntax = "proto3"; package user; // The UserService definition service UserService { // CreateUser method rpc CreateUser (CreateUserRequest) returns (CreateUserResponse); // GetUser method rpc GetUser (GetUserRequest) returns (GetUserResponse); } // Message structure for CreateUserRequest message CreateUserRequest { string userId = 1; string userName = 2; string email = 3; string password = 4; } // Message structure for CreateUserResponse message CreateUserResponse { string status = 1; string message = 2; } // Message structure for GetUserRequest message GetUserRequest { string userId = 1; } // Message structure for GetUserResponse message GetUserResponse { string userId = 1; string userName = 2; string email = 3; string status = 4; } ``` # Type Mapping Explanation - **string**: In Protocol Buffers (proto3), the `string` type represents a sequence of UTF-8 characters. This type is commonly used for fields like `userId`, `userName`, `email`, and `password`. - **message**: This construct is used to define a complex data structure that can contain multiple fields. Each message represents either a request or a response in gRPC method calls. The numeric tag (e.g., `1`, `2`, etc.) after each field definition denotes a unique identifier for a field within a message. Fields are identified by these tags when they are serialized or deserialized, which is essential for backward compatibility in Protocol Buffers. The gRPC framework will use this `.proto` file to generate client and server code in supported languages, allowing for cross-platform compatibility and efficient communication between services.

通義千問2.5-Coder-32B（阿里云百煉）

## Interface Definition Overview This document provides the interface definition for the `UserService` using the gRPC framework. The service includes two methods: `CreateUser` and `GetUser`. Each method has clearly defined request and response parameters. ## IDL Source Code ```proto syntax = "proto3"; package UserService; // Request message for creating a user. message CreateUserRequest { string userId = 1; // Unique identifier for the user. string userName = 2; // Name of the user. string email = 3; // Email address of the user. string password = 4; // Password for the user account. } // Response message for creating a user. message CreateUserResponse { string status = 1; // Status of the operation (e.g., "success", "failure"). string message = 2; // Additional message related to the operation. } // Request message for getting a user. message GetUserRequest { string userId = 1; // Unique identifier for the user. } // Response message for getting a user. message GetUserResponse { string userId = 1; // Unique identifier for the user. string userName = 2; // Name of the user. string email = 3; // Email address of the user. string status = 4; // Status of the user (e.g., "active", "inactive"). } // Service definition for User operations. service UserService { // Method to create a new user. rpc CreateUser (CreateUserRequest) returns (CreateUserResponse); // Method to get an existing user. rpc GetUser (GetUserRequest) returns (GetUserResponse); } ``` ## Type Mapping Explanation - **string**: Maps to `string` in gRPC, which is used for textual data. - **int32, int64**: Maps to `int32` and `int64` respectively in gRPC, used for integer values. - **bool**: Maps to `bool` in gRPC, used for boolean values. - **double, float**: Maps to `double` and `float` respectively in gRPC, used for floating-point numbers. - **bytes**: Maps to `bytes` in gRPC, used for binary data. In this specific example, all fields are of type `string`, which is commonly used for textual data such as identifiers, names, and messages.

模型名稱 模型提供商 響應總時長（s） 生成 token 數 首 token 延遲（s） 生成速率（tokens/s）
claude3.5 sonnet 20241022
claude3.5 sonnet 20241022
Anthropic
10.38
響應最快
0
2.08
0
DeepSeek V3
DeepSeek V3
Deepseek
32.85
607
內容最多
3.63
18.48
gpt-4o
gpt-4o
OpenAI
17.21
471
1.86
27.37
速度最快
通義千問2.5-Coder-32B
通義千問2.5-Coder-32B
阿里云百煉
43.72
505
0.48
延遲最小
11.55
AI文本生成
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AI深度推理
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AI數學模型
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