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RoboSmart RPA document #1

Open Savill16 opened 3 months ago

Savill16 commented 3 months ago

当然可以,我会将文档翻译成中文,方便您与朋友分享。

智能RPA应用程序文档

1. 简介

本文档的目的是提供智能RPA(机器人流程自动化)应用程序的全面概述。该应用程序旨在通过智能推断网页内容和结构中最可能的用户操作,实现网站上用户任务的自动化。其主要目标是最大限度地减少用户的工作量,提供用户友好的界面,并确保与各种网站的兼容性。

2. 系统概览

智能RPA应用程序由以下主要模块组成:

  1. 网页分析模块:负责解析和分析网页,以理解其结构和内容。
  2. 操作推断引擎:使用网页分析模块的输出来推断最可能的用户操作。
  3. 用户界面模块:处理用户与RPA应用程序之间的交互,包括图形用户界面(GUI)和命令行界面(CLI)。
  4. 自动化执行模块:通过模拟用户交互在网页上执行推断的操作。
  5. 配置和设置模块:允许用户自定义RPA应用程序的行为。
+-------------------+          +------------------+          +--------------------+
|                   |          |                  |          |                    |
|    网页分析模块    |  ---->   |   操作推断引擎    |  ---->   |   自动化执行模块    |
|                   |          |                  |          |                    |
+-------------------+          +---------+--------+          +---------+----------+
                                         |                             |
                                         |                             |
                                         v                             v
                               +---------+--------+          +---------+----------+
                               |                  |          |                    |
                               |   用户界面模块    |          |   配置和设置模块    |
                               |                  |          |                    |
                               +------------------+          +--------------------+

3. 功能需求

3.1 网页分析模块

3.2 操作推断引擎

3.3 用户界面模块

3.4 自动化执行模块

3.5 配置和设置模块

4. 非功能性需求

5. 用户界面

该应用程序将有两个主要的用户界面:

  1. 图形用户界面(GUI):

    • 简洁直观的设计
    • 清晰地呈现推断的操作和解释
    • 易于使用的控件,用于批准、修改或拒绝操作
    • 可从网络浏览器访问,也可作为独立的桌面应用程序
  2. 命令行界面(CLI):

    • 为高级用户提供强大灵活的控制选项
    • 可编写脚本和自动化
    • 一致且有据可查的命令语法

将与UX/UI设计团队合作创建线框图和详细的UI设计。

6. 技术栈

以下技术将用于开发智能RPA应用程序:

确切的版本和其他库将在开发过程中确定。

7. 开发计划

该应用程序将使用敏捷方法开发,每2周一个冲刺阶段,并定期召开利益相关者会议。关键里程碑包括:

  1. 网页分析模块和操作推断引擎的原型(冲刺1-2)
  2. 基本GUI和CLI功能(冲刺3-4)
  3. 集成自动化执行模块(冲刺5-6)
  4. 机器学习模型训练和集成(冲刺7-8)
  5. 与选定的用户群进行Beta测试(冲刺9-10)
  6. 根据Beta反馈进行改进(冲刺11-12)
  7. 最终测试和发布(冲刺13-14)

项目经理将创建和维护包含具体任务和交付成果的详细冲刺计划。

8. 项目管理

项目团队将由以下成员组成:

定期的团队会议、进度报告和利益相关者更新将确保在整个项目过程中保持清晰的沟通和一致性。将建立风险管理计划和变更管理流程,以处理出现的任何问题或变更。

9. 术语表

10. 附录

根据项目需要添加。


这个首版文档提供了智能RPA应用程序的高级概述,涵盖了关键的功能和非功能需求、提议的技术栈、开发计划和项目管理方法。

请审阅本文档,并就任何需要澄清或调整的地方提供反馈。我们将在项目进行过程中对文档进行迭代,以确保其保持准确和最新。

ryan-zheng-teki commented 3 months ago

English Version

Intelligent RPA Application Documentation

1. Introduction

The purpose of this document is to provide a comprehensive overview of the Intelligent RPA (Robotic Process Automation) application. This application aims to automate user tasks on websites by intelligently inferring the most probable actions based on the webpage content and structure. The key objectives are to minimize user effort, provide a user-friendly interface, and ensure compatibility with a wide range of websites.

2. System Overview

The Intelligent RPA application consists of the following main modules:

  1. Web Page Analysis Module: Responsible for parsing and analyzing web pages to understand their structure and content.
  2. Action Inference Engine: Uses the output from the Web Page Analysis Module to infer the most probable user action.
  3. User Interface Module: Handles the interaction between the user and the RPA application, including both a graphical user interface (GUI) and a command-line interface (CLI).
  4. Automation Execution Module: Performs the inferred actions on the web pages by simulating user interactions.
  5. Configuration and Settings Module: Allows users to customize the behavior of the RPA application.
+-------------------+          +------------------+          +--------------------+
|                   |          |                  |          |                    |
|  Web Page Analysis|  ---->   | Action Inference |  ---->   | Automation Execution|
|     Module        |          |     Engine       |          |      Module        |
|                   |          |                  |          |                    |
+-------------------+          +---------+--------+          +---------+----------+
                                         |                             |
                                         |                             |
                                         v                             v
                               +---------+--------+          +---------+----------+
                               |                  |          |                    |
                               |  User Interface  |          | Configuration and  |
                               |     Module       |          |  Settings Module   |
                               |                  |          |                    |
                               +------------------+          +--------------------+

3. Functional Requirements

3.1 Web Page Analysis Module

3.2 Action Inference Engine

3.3 User Interface Module

3.4 Automation Execution Module

3.5 Configuration and Settings Module

4. Non-Functional Requirements

5. User Interface

The application will have two main user interfaces:

  1. Graphical User Interface (GUI):

    • Clean and intuitive design
    • Clear presentation of inferred actions and explanations
    • Easy-to-use controls for approving, modifying, or rejecting actions
    • Accessible from web browsers and as a standalone desktop application
  2. Command-Line Interface (CLI):

    • Powerful and flexible control options for advanced users
    • Scriptable and automatable
    • Consistent and well-documented command syntax

Wireframes and detailed UI designs will be created in collaboration with the UX/UI design team.

6. Technology Stack

The following technologies will be used to develop the Intelligent RPA application:

The exact versions and additional libraries will be finalized during the development process.

7. Development Plan

The application will be developed using an Agile methodology, with 2-week sprints and regular stakeholder meetings. The key milestones are:

  1. Prototype of the Web Page Analysis Module and Action Inference Engine (Sprint 1-2)
  2. Basic GUI and CLI functionality (Sprint 3-4)
  3. Integration of the Automation Execution Module (Sprint 5-6)
  4. Machine learning model training and integration (Sprint 7-8)
  5. Beta testing with a select group of users (Sprint 9-10)
  6. Refinement based on beta feedback (Sprint 11-12)
  7. Final testing and launch (Sprint 13-14)

A detailed sprint plan with specific tasks and deliverables will be created and maintained by the project manager.

8. Project Management

The project team will consist of:

Regular team meetings, progress reports, and stakeholder updates will ensure clear communication and alignment throughout the project. A risk management plan and change management process will be established to handle any issues or changes that arise.

9. Glossary

10. Appendices

To be added as needed during the project.