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全部 > AI技術(shù) > AI編程 > AI代碼生成 > 生成跨語(yǔ)言RPC接口定義文件

生成跨語(yǔ)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(jié)果 ## Interface Definition Overview 1. 服務(wù)名稱(chēng)：`UserService` 2. 包含方法： - `CreateUser`: 創(chuàng)建用戶(hù)接口 - `GetUser`: 獲取用戶(hù)信息接口 3. 協(xié)議版本：`proto3` 4. 主要數(shù)據(jù)結(jié)構(gòu)： - 請(qǐng)求結(jié)構(gòu)體：`CreateUserRequest`, `GetUserRequest` - 響應(yīng)結(jié)構(gòu)體：`CreateUserResponse`, `GetUserResponse` ## IDL Source Code (proto3) ```proto syntax = "proto3"; package userservice; option go_package = ".;userservice"; // 用戶(hù)服務(wù) service UserService { // 創(chuàng)建用戶(hù) rpc CreateUser (CreateUserRequest) returns (CreateUserResponse); // 獲取用戶(hù)信息 rpc GetUser (GetUserRequest) returns (GetUserResponse); } // 創(chuàng)建用戶(hù)請(qǐng)求 message CreateUserRequest { string user_id = 1; // 用戶(hù)ID string user_name = 2; // 用戶(hù)名 string email = 3; // 電子郵箱 string password = 4; // 密碼 } // 創(chuàng)建用戶(hù)響應(yīng) message CreateUserResponse { string status = 1; // 狀態(tài)碼 string message = 2; // 返回消息 } // 獲取用戶(hù)請(qǐng)求 message GetUserRequest { string user_id = 1; // 用戶(hù)ID } // 獲取用戶(hù)響應(yīng) message GetUserResponse { string user_id = 1; // 用戶(hù)ID string user_name = 2; // 用戶(hù)名 string email = 3; // 電子郵箱 string status = 4; // 賬戶(hù)狀態(tài) } ``` ## Type Mapping Explanation 1. 基礎(chǔ)類(lèi)型映射： - `string` → proto3 `string` 2. 字段編號(hào)規(guī)則： - 從1開(kāi)始順序編號(hào) - 建議預(yù)留5-15號(hào)字段用于未來(lái)擴(kuò)展 3. 命名規(guī)范： - 服務(wù)名：PascalCase - 方法名：PascalCase - 消息類(lèi)型：PascalCase + Request/Response - 字段名：snake_case ## 使用建議 1. 生成對(duì)應(yīng)語(yǔ)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(wèn)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(chēng) 模型提供商 響應(yīng)總時(shí)長(zhǎng)（s） 生成 token 數(shù) 首 token 延遲（s） 生成速率（tokens/s）
claude3.5 sonnet 20241022
claude3.5 sonnet 20241022
Anthropic
10.38
響應(yīng)最快
0
2.08
0
DeepSeek V3
DeepSeek V3
Deepseek
32.85
607
內(nèi)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(wèn)2.5-Coder-32B
通義千問(wèn)2.5-Coder-32B
阿里云百煉
43.72
505
0.48
延遲最小
11.55
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AI深度推理
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AI數(shù)學(xué)模型
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