aumiao 2.7.0

赋能编程猫社区脚本开发 - https://aumiao.aurzex.top

Aumiao

一个为编程猫社区开发的 API 收集项目和工具集合，旨在赋能脚本开发并提升社区管理效率。

A powerful API collection project and toolset for CodeMao community development, empowering script development and enhancing community management efficiency.

主要功能 | Main Features

账户与认证 | Account & Authentication

• 多方式登录：支持 password（三种方法）与 cookie 登录
  Multiple Login Methods: Support for password (both old and new formats) and cookie login
• 状态查询：检查禁言状态和社区公约签署情况
  Status Query: Check mute status and community convention signing status
• 身份切换：支持 average、edu、judgement 三种身份模式切换
  Identity Switching: Support switching between average, edu, and judgement identity modes
• 教育账号登录：专用教育账号登录接口，支持密码重置
  Edu Account Login: Dedicated educational account login interface with password reset support

消息管理 | Message Management

• 一键清理：支持一键清除邮箱未读消息
  One-click Cleanup: Clear all unread messages in mailbox with one click
• 多端清理：支持 web 端和 nemo 客户端消息清理
  Multi-platform Cleanup: Support message cleanup for both web and nemo client
• 分页处理：智能分页处理大量未读消息，避免请求超时
  Pagination: Smart pagination for large volumes of unread messages to prevent request timeout
• 类型过滤：按消息类型（点赞、评论、系统通知）分别处理
  Type Filtering: Process messages by type (likes, comments, system notifications)
• 状态验证：实时验证消息清理状态，确保彻底清除
  Status Verification: Real-time verification of message cleanup status to ensure complete removal

内容管理 | Content Management

• 评论管理：基于关键词和用户 ID 删除作品/帖子评论，自动监测并删除刷屏评论
  Comment Management: Delete work/post comments based on keywords and user IDs, automatically monitor and remove spam comments
  • 策略模式检测：使用策略模式检测广告、黑名单、重复评论
    Strategy Pattern Detection: Use strategy pattern to detect ads, blacklisted users, and duplicate comments
  • 批量删除确认：删除前显示检测结果，支持选择性批量删除
    Batch Deletion Confirmation: Show detection results before deletion, support selective batch deletion
  • 多维分析：评论内容、用户行为、时间频率多维度分析
    Multi-dimensional Analysis: Analyze comment content, user behavior, and time frequency
• 智能回复：支持关键词回复和随机回复双模式，支持表情包和多样化回复内容
  Smart Reply: Support keyword-based reply and random reply modes, includes emoji support and diverse reply content, built-in work analysis commands for Bot usage
  • 动态格式化：回复内容支持动态变量替换（用户名、作品名等）
    Dynamic Formatting: Reply content supports dynamic variable replacement (username, work name, etc.)
  • CDN链接保护：自动保护回复中的CDN链接，防止被平台过滤
    CDN Link Protection: Automatically protect CDN links in replies to prevent platform filtering
  • 多类型通知处理：支持作品评论、帖子回复、工作室讨论等多种通知类型
    Multi-type Notification: Support multiple notification types including work comments, post replies, studio discussions
• 内容置顶：通过修改工作室和小说信息实现内容常驻首页
  Content Pinning: Keep content on homepage by modifying studio and novel information
  • 定时更新：支持定时更新工作室详情，保持新鲜度
    Scheduled Updates: Support scheduled updates of studio details to maintain freshness
  • 自动发布：定时自动发布小说章节，保持内容活跃
    Auto Publishing: Automatically publish novel chapters on schedule to keep content active

作品处理 | Work Processing

• 作品反编译：支持 KITTEN N、KITTEN、NEMO、COCO 格式，自动识别文件类型并下载资源文件，生成可编辑的源码文件
  Work Decompilation: Support for KITTEN N, KITTEN, NEMO, COCO formats, automatically identify file types and download resource files, generate editable source code files
• 作品解析与编辑：解析 Kitten N 和 Kitten4 作品文件，支持添加角色、变量等编辑操作，统计作品积木使用情况
  Work Analysis & Editing: Parse Kitten N and Kitten4 work files, support editing operations like adding characters and variables, count work block usage

数据与文件操作 | Data & File Operations

• 云数据管理：支持云列表和云变量的调取、修改和创建，提供交互式界面
  Cloud Data Management: Support for querying, modifying, and creating cloud lists and cloud variables with interactive interface
• 文件上传：支持 codemao、codegame、pgaot 平台的文件上传，支持批量操作和历史查看
  File Upload: Support file upload to codemao, codegame, pgaot platforms, supports batch operations and history viewing
  • 智能文件检测：自动检测文件类型和大小，跳过超限文件
    Smart File Detection: Automatically detect file type and size, skip oversized files
  • 目录递归上传：支持整个目录递归上传，保持目录结构
    Directory Recursive Upload: Support recursive upload of entire directories while preserving structure
  • 上传历史管理：记录上传历史，支持链接有效性验证
    Upload History: Record upload history with link validity verification
  • 统一上传接口：抽象上传器协议，支持多种上传方法切换
    Unified Upload Interface: Abstract uploader protocol supporting multiple upload methods
• 分享功能：生成 NEMO 作品分享喵口令
  Sharing Function: Generate sharing codes for NEMO works
  • 作品类型检测：自动检测作品类型，仅NEMO作品可生成喵口令
    Work Type Detection: Automatically detect work type, only NEMO works can generate sharing codes
  • URL解析：解析作品BCM链接，生成带token的喵口令
    URL Parsing: Parse work BCM links to generate sharing codes with tokens

内容获取 | Content Retrieval

• 小说下载：下载图书馆小说并自动转换 HTML 为 TXT 格式
  Novel Download: Download library novels and automatically convert HTML to TXT format
  • 章节批量下载：自动下载小说所有章节，保持章节顺序
    Chapter Batch Download: Automatically download all novel chapters while maintaining order
  • 元数据保存：保存小说作者、简介、字数等元数据
    Metadata Preservation: Save novel metadata including author, introduction, word count
  • 格式转换：HTML到TXT智能转换，合并空行优化阅读体验
    Format Conversion: Smart HTML to TXT conversion with empty line merging for better reading
• 数据分析：分析社区发言活跃用户，作品在线人数排行榜，获取最热作品
  Data Analysis: Analyze active community users, filter posts by time, obtain follower statistics
  • 多源数据聚合：从多个数据源聚合作品信息
    Multi-source Aggregation: Aggregate work information from multiple data sources
  • 在线人数监测：实时监测作品在线用户数
    Online User Monitoring: Real-time monitoring of online users for works
  • 用户评论统计：分析用户评论行为，按阈值筛选活跃用户
    User Comment Statistics: Analyze user comment behavior, filter active users by threshold
  • 粉丝数据分析：获取粉丝获赞数、作品数等统计数据
    Follower Data Analysis: Get follower statistics including likes received, work count, etc.

AI 功能 | AI Features

• AI 调用：支持 KN 编辑器 AI 调用，包含流式调用和交互式界面
  AI Calling: Support KN editor AI calling, includes streaming calls and interactive interface
• 多 Token 轮询：优化 AI 服务使用体验
  Multi-Token Polling: Optimize AI service usage experience

EDU 用户功能 | EDU User Features

账户管理 | Account Management

• 批量账户操作：支持 EDU 账户的批量生成和删除
  Batch Account Operations: Support batch generation and deletion of EDU accounts
  • 班级管理：自动创建班级，按班级容量分配学生
    Class Management: Automatically create classes and allocate students by class capacity
  • 名称生成器：智能生成班级和学生名称
    Name Generator: Intelligently generate class and student names
  • 容量优化：智能计算班级数量，最大化利用容量
    Capacity Optimization: Intelligently calculate number of classes to maximize capacity usage
• 凭证管理：生成 token 或 password 配置文件
  Credential Management: Generate token or password configuration files
  • 格式适配：自动适配不同格式（仅token或账号:密码）
    Format Adaptation: Automatically adapt to different formats (token only or account:password)
  • 登录验证：生成token时自动登录验证有效性
    Login Verification: Automatically login to verify token validity during generation

批量操作 | Batch Operations

• 批量举报：针对作品进行批量举报操作
  Batch Reporting: Perform batch reporting operations for works
  • 账号轮换：自动切换账号避免单账号举报次数过多
    Account Rotation: Automatically rotate accounts to avoid excessive reports per account
  • 频率控制：智能延迟控制举报频率
    Frequency Control: Intelligent delay control for report frequency
  • 失败处理：自动处理失效账号，继续使用可用账号
    Failure Handling: Automatically handle failed accounts and continue with available ones
• 批量评论：支持回帖、工作室讨论区和作品评论的批量创建
  Batch Commenting: Support batch creation of replies, studio discussions, and work comments
  • 多类型支持：支持作品、工作室、帖子三种来源类型
    Multi-type Support: Support three source types: work, studio, post
  • 重复次数控制：支持单个账号多次评论
    Repeat Control: Support multiple comments from single account
  • 内容统一管理：统一管理评论内容格式
    Content Management: Unified management of comment content format
• 批量点赞收藏：批量点赞作品和收藏小说
  Batch Like & Collect: Batch like works and collect novels
  • 用户作品遍历：自动获取用户所有作品进行批量操作
    User Works Traversal: Automatically get all user works for batch operations
  • 关注联动：点赞时自动关注作者
    Follow Linkage: Automatically follow author when liking works

风纪委员功能 | Moderator Features

举报处理 | Report Handling

• 全类型支持：处理 work、discussion、post、comment 所有举报类型
  Full Type Support: Handle all report types including work, discussion, post, comment
  • 类型注册表：统一管理所有举报类型配置
    Type Registry: Unified management of all report type configurations
  • 字段映射：每种类型有独立的字段映射关系
    Field Mapping: Each type has independent field mapping relationships
  • 处理动作自定义：不同类型支持不同的处理动作
    Action Customization: Different types support different processing actions
• 批量处理：一键处理全部待处理项
  Batch Processing: Process all pending items with one click
  • 一键全部通过：一键通过所有待处理举报
    One-click Pass All: Pass all pending reports with one click
  • 智能分组：自动识别相同内容或相同ID的批量举报
    Smart Grouping: Automatically identify batch reports with same content or same ID
  • 历史动作复用：对相同违规项自动复用历史处理动作
    History Action Reuse: Automatically reuse historical processing actions for same violations
• 智能分块：支持分块处理和详情查看
  Smart Chunking: Support chunked processing and detail viewing
  • 管道处理模式：使用管道模式组织处理流程
    Pipeline Processing: Use pipeline pattern to organize processing flow
  • 官方账号识别：自动识别官方账号内容并特殊处理
    Official Account Recognition: Automatically recognize official account content for special handling
  • 详情格式化显示：按举报类型格式化显示详情信息
    Formatted Detail Display: Format display details according to report type

违规检测 | Violation Detection

• 自动检测：识别评论和帖子刷屏行为
  Auto Detection: Identify comment and post spamming behaviors
  • 阈值配置：可配置刷屏检测阈值
    Threshold Configuration: Configurable spamming detection threshold
  • 内容相似度分析：分析评论内容相似度
    Content Similarity Analysis: Analyze comment content similarity
  • 用户行为分析：分析用户评论频率和模式
    User Behavior Analysis: Analyze user comment frequency and patterns
• 关键词侦测：自动检测预设违规关键词
  Keyword Detection: Automatically detect preset violation keywords
  • 多关键词支持：支持广告词、敏感词等多类关键词
    Multi-keyword Support: Support multiple keyword categories including ads and sensitive words
  • 内容忽略：自动忽略置顶评论
    Content Ignoring: Automatically ignore pinned comments
  • 层级检测：同时检测主评论和回复评论
    Hierarchical Detection: Detect both main comments and reply comments
• 一键举报：自动举报所有检测到的违规内容
  One-click Reporting: Automatically report all detected violation content
  • 多账号自动切换：使用学生账号自动切换进行举报
    Multi-account Auto-switch: Use student accounts with automatic switching for reporting
  • 账号使用计数：跟踪每个账号的使用次数，自动切换
    Account Usage Counting: Track usage count per account, auto-switch when limit reached
  • 失败重试：失败时自动使用备用账号重试
    Failure Retry: Automatically retry with backup accounts on failure

历史应用 | History Application

• 批量应用：支持对同一违规项批量应用历史操作
  Batch Application: Support batch application of historical operations for same violation
  • 分组键识别：基于内容和类型识别分组键
    Group Key Identification: Identify group keys based on content and type
  • 动作持久化：保存批量处理动作供后续块使用
    Action Persistence: Save batch processing actions for subsequent chunks
  • 跨会话保持：处理动作在同一会话中保持有效
    Cross-session Persistence: Processing actions remain valid within same session
• 操作复用：自动参考之前的处理决策
  Operation Reuse: Automatically reference previous processing decisions
  • 决策缓存：缓存处理决策提高效率
    Decision Caching: Cache processing decisions to improve efficiency
  • 上下文感知：根据上下文智能选择处理动作
    Context Awareness: Intelligently select processing actions based on context

快速开始 | Quick Start

环境要求 | Requirements

• Python 3.13 或更高版本 | Python 3.13 or higher

安装方式 | Installation Methods

通过 PyPI 安装（推荐）| Via PyPI (Recommended)

# 安装最新版本
pip install aumiao

# 或安装特定版本
pip install aumiao==2.7.0

从源代码安装 | From Source

# 克隆项目 | Clone the repository
git clone https://github.com/aurzex/Aumiao.git
cd Aumiao/Aumiao-py

# 使用 uv 包管理器（推荐）| Using uv package manager (recommended)
pip install uv
uv sync

# 或使用传统方式 | Or using traditional method
pip install -r requirements.txt

配置文件 | Configuration Files

项目使用以下配置文件： | The project uses the following configuration files:

• data.json - 用户认证和数据配置文件 | User authentication and data configuration
• setting.json - 程序运行设置和选项 | Program runtime settings and options

二进制版本 | Binary Versions

从 Release 页面 下载预编译版本，无需配置即可直接运行。
Download precompiled versions from the Release page, ready to run without configuration.

开发者指南 | Developer Guide

核心模块结构

• api/ - 编程猫社区 API 接口封装，涵盖社区大部分可用 API
• core/ - 核心功能模块
  • base/ - 基础 API 协调器，提供编程猫基础 API 调用
  • retrieve/ - 数据获取功能
  • process/ - 数据处理功能
  • service/ - 高级服务封装，提供封装好的功能调用
• utils/ - 实用工具和辅助函数

基本用法示例

from aumiao import base, services

# 初始化基础设施协调器和服务管理器
coordinator = base.InfrastructureCoordinator()
manager = services.ServiceManager()

# 登录认证
coordinator.auth_manager.login(
    identity="identity",  # 用户身份标识(用户名/邮箱/手机号)
    password="password",  # 登录密码
    prefer_method="password_v2"  # 推荐认证方式: password_v2 或 password_v1
)

# 获取社区消息(Nemo 消息系统)
coordinator.community_obtain.fetch_nemo_messages()

# 取消点赞操作(可用于帖子、回复等)
coordinator.forum_motion.execute_toggle_like(
    action="unlike",  # 操作类型: 'like' 点赞 / 'unlike' 取消点赞
    item_id=123456,  # 目标项目ID(帖子ID、回复ID等)
    item_type="REPLY"  # 项目类型: 'REPLY' 回复 / 'COMMENT' 评论
)

# 处理工作室加入申请
coordinator.shop_motion.execute_review_join_application(
    workshop_id=123456,  # 工作室ID
    status="UNACCEPTED",  # 审核状态: 'ACCEPTED' 通过 / 'UNACCEPTED' 拒绝
    user_id=123456  # 申请用户ID
)

# 生成喵码(用于社区分享)
manager.community.generate_miao_code(
    work_id=123456  # 作品ID
)

# 标记通知为已读
manager.community.mark_notifications_as_read(
    method="nemo"  # 通知系统类型: 'nemo' Nemo系统通知
)

# 处理回复(可筛选有效回复类型)
manager.reply.process_replies(
    valid_reply_types=None  # 有效回复类型列表, None表示处理所有类型
)

# 文件上传功能
manager.file_upload.upload_file(
    file_path="path",  # 本地文件路径
    save_path="aumiao",  # 云端保存路径
    method="codemao"  # 上传方式: 'codemao' 编程猫云存储
)

设计特性

• 单例模式：核心功能采用单例设计，优化资源使用
• 动态导入：模块按需加载，提升启动速度
• 配置管理：自动同步配置文件，无需手动保存
• 多账户支持：支持普通用户、教育账户、风纪委员等多种账户类型
• 请求功能：内置丰富的请求功能，支持分页信息获取、WebSockets、HTTP 和文件上传客户端
• 数据转换：数据文件自动从 JSON 字典转换为 dataclass
• 错误处理：完善的异常处理机制和日志记录

贡献指南 | Contribution Guidelines

我们欢迎所有形式的贡献。请遵循以下流程： | We welcome all forms of contributions. Please follow the process below:

1. Fork 仓库：点击右上角的 Fork 按钮 | Fork Repository: Click the Fork button in the upper right corner
2. 创建分支：基于 main 分支创建功能分支 | Create Branch: Create a feature branch based on the main branch
3. 开发功能：在分支上实现您的改进 | Develop Feature: Implement your improvements on the branch
4. 提交测试：确保代码通过现有测试 | Run Tests: Ensure code passes existing tests
5. 发起 PR：向主仓库提交 Pull Request | Submit PR: Submit a Pull Request to the main repository

请确保： | Please ensure:

• 代码风格与现有代码保持一致 | Code style is consistent with existing code
• 添加必要的文档和注释 | Add necessary documentation and comments
• 更新相关的测试用例 | Update relevant test cases

联系我们 | Contact Us

• 官方网站：https://aumiao.aurzex.top
  Official Website: https://aumiao.aurzex.top
• 问题反馈：GitHub Issues
  Issue Reporting: GitHub Issues
• 联系邮箱：[e-mail]
  Contact Email: [e-mail]
• 开发团队：Aurzex, DontLoveby, Moonleeeaf, Nomen
  Development Team: Aurzex, DontLoveby, Moonleeeaf, Nomen

许可证 | License

本项目采用 AGPL-3.0 开源协议。详细条款请参阅 LICENSE 文件。
This project is licensed under the AGPL-3.0 license. See the LICENSE file for details.

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感谢使用 Aumiao。如果本项目对您有帮助，请考虑在 GitHub 上为我们点亮星标。
Thank you for using Aumiao. If this project helps you, please consider giving it a star on GitHub.