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password-tool: 一个创新密码管理器与密码生成器

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密码管理器是一种软件工具,其主要目的是帮助用户生成和存储强密码,从而提高账户安全性。用户只需记住一个主密码,就可以通过密码管理器来访问所有其他强密码。密码生成器则是密码管理器的一部分,用于创建难以猜测的、安全的密码。本文档提到的password-tool是一个密码管理器和密码生成器结合的程序。 首先,让我们详细讨论密码管理器的核心功能。密码管理器能够为每个用户账户生成独一无二且复杂的密码。这种密码生成通常基于加密哈希函数,它接受主密码和域名作为输入,并输出一个加密哈希值,这个哈希值将被用作生成密码的种子。这样,即便两个不同服务的域名相似,最终生成的密码也将是截然不同的。这种方法极大地增强了安全性,因为攻击者即使获取了哈希值,也难以逆向推出原始的主密码,尤其是当使用强主密码时。 密码管理器的安装过程对用户非常友好。根据提供的描述,此项目提供了两种安装方式,一种是通过Rust编程语言的工具链安装,另一种是通过构建项目源代码。具体步骤如下: 1. 使用curl命令行工具安装Rust工具链。这一步是必须的,因为password-tool是用Rust语言编写的。Rust是一种现代的系统编程语言,其特点是注重安全、并发和性能。 2. cargo是Rust的包管理工具,类似于Python中的pip或Node.js中的npm。通过执行cargo install命令,可以安装名为trunk和wasm-bindgen-cli的两个Rust工具。trunk是Rust项目的一个简单、快速的Web服务器,可用于Web开发和前端工具链的封装。wasm-bindgen-cli是WebAssembly (Wasm) 绑定生成器的命令行工具,它在WebAssembly与JavaScript之间提供了简洁的接口。 3. 接下来,克隆项目源代码到本地。通过git clone命令获取password-tool的源代码,然后切换到项目目录中。 4. 使用trunk serve命令启动本地开发服务器,这样用户就可以测试和体验password-tool的功能。 从项目描述中还透露了一个未来的发展路线图,即增加两因素认证(2FA)的支持。两因素认证是指除了要求用户提供密码(知道的因素)之外,还要求用户提供第二种形式的验证,这可以是短信验证码、邮件验证码、或物理令牌等(拥有或生物识别因素)。这种认证方式进一步增强了账户安全性,因为即使攻击者获取了用户的密码,他们仍然需要第二种形式的验证才能访问账户。 最后,关于密码管理器的安全性问题,描述中提到了键盘记录程序作为潜在的安全威胁。键盘记录程序是一种恶意软件,它记录用户键盘上的按键,并可能将其发送给攻击者。由于键盘记录程序直接监控用户的输入,因此即使密码管理器再安全,用户在输入密码时也可能被记录下来。这是当前操作系统安全防御的盲点,需要操作系统提供更好的保护措施。同时,密码管理器的开发者也在考虑如何改进自己的工具,例如提供密码复制到剪贴板前的警报功能,以提示用户检查键盘记录程序,或尝试与杀毒软件厂商合作,将键盘记录程序识别为恶意行为并进行处理。 综上所述,password-tool是一个利用现代Web技术和Rust语言的高效、安全的密码管理器。它通过集成密码生成和管理功能,简化了用户在互联网上使用安全密码的过程。同时,该项目未来的发展方向和安全性的考量也符合当前安全趋势,旨在为用户提供更加可靠和易用的密码保护方案。

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PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\AI_System PS E:\AI_System> .\venv\Scripts\activate (venv) PS E:\AI_System> python agent\environment_interface.py 2025-08-27 23:27:30,799 - CoreConfig - INFO - 📂 从 E:\AI_System\config\default.json 加载配置: { "LOG_DIR": "E:/AI_System/logs", "CONFIG_DIR": "E:/AI_System/config", "MODEL_CACHE_DIR": "E:/AI_System/model_cache", "AGENT_NAME": "\u5c0f\u84dd", "DEFAULT_USER": "\u7ba1\u7406\u5458", "MAX_WORKERS": 4, "AGENT_RESPONSE_TIMEOUT": 30.0, "MODEL_BASE_PATH": "E:/AI_Models", "MODEL_PATHS": { "TEXT_BASE": "E:/AI_Models/Qwen2-7B", "TEXT_CHAT": "E:/AI_Models/deepseek-7b-chat", "MULTIMODAL": "E:/AI_Models/deepseek-vl2", "IMAGE_GEN": "E:/AI_Models/sdxl", "YI_VL": "E:/AI_Models/yi-vl", "STABLE_DIFFUSION": "E:/AI_Models/stable-diffusion-xl-base-1.0" }, "NETWORK": { "HOST": "0.0.0.0", "FLASK_PORT": 8000, "GRADIO_PORT": 7860 }, "DATABASE": { "DB_HOST": "localhost", "DB_PORT": 5432, "DB_NAME": "ai_system", "DB_USER": "ai_user", "DB_PASSWORD": "secure_password_here" }, "SECURITY": { "SECRET_KEY": "generated-secret-key-here" }, "ENVIRONMENT": { "ENV": "dev", "LOG_LEVEL": "DEBUG", "USE_GPU": true }, "DIRECTORIES": { "DEFAULT_MODEL": "E:/AI_Models/Qwen2-7B", "WEB_UI_DIR": "E:/AI_System/web_ui", "AGENT_DIR": "E:/AI_System/agent", "PROJECT_ROOT": "E:/AI_System" } } 2025-08-27 23:27:30,799 - CoreConfig - INFO - 📂 从 E:\AI_System\config\local.json 加载配置: {} 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🌐 从 E:\AI_System\.env 加载环境变量 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_ROOT=E:\AI_System 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__PROJECT_ROOT=E:\AI_System 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__AGENT_DIR=E:\AI_System\agent 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__WEB_UI_DIR=E:\AI_System\web_ui 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__DEFAULT_MODEL=E:\AI_Models\Qwen2-7B 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_ENVIRONMENT__LOG_LEVEL=DEBUG 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_HOST=localhost 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_PORT=5432 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_NAME=ai_system 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_USER=ai_user 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_PASSWORD=****** 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_SECURITY__SECRET_KEY=****** 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__TEXT_BASE=E:\AI_Models\Qwen2-7B 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__TEXT_CHAT=E:\AI_Models\deepseek-7b-chat 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__MULTIMODAL=E:\AI_Models\deepseek-vl2 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__IMAGE_GEN=E:\AI_Models\sdxl 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__YI_VL=E:\AI_Models\yi-vl 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__STABLE_DIFFUSION=E:\AI_Models\stable-diffusion-xl-base-1.0 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__HOST=0.0.0.0 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__FLASK_PORT=8000 2025-08-27 23:27:30,799 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__GRADIO_PORT=7860 2025-08-27 23:27:30,799 - CoreConfig - WARNING - ⚠️ 模型路径不存在: STABLE_DIFFUSION = E:/AI_Models/stable-diffusion-xl-base-1.0 2025-08-27 23:27:30,799 - CoreConfig - INFO - ✅ 配置系统初始化完成 2025-08-27 23:27:31,074 - EnvironmentInterface - INFO - ✅ 初始化环境模块: EnvironmentInterface 2025-08-27 23:27:31,074 - EnvironmentInterface - INFO - ✅ 初始化环境模块: EnvironmentInterface 2025-08-27 23:27:31,074 - EnvironmentInterface - INFO - 环境路径配置完成 2025-08-27 23:27:31,074 - EnvironmentInterface - INFO - 环境路径配置完成 2025-08-27 23:27:31,098 - EnvironmentInterface - INFO - ✅ 数据库初始化完成: E:\AI_System\02_核心代码\environment.db 2025-08-27 23:27:31,098 - EnvironmentInterface - INFO - ✅ 数据库初始化完成: E:\AI_System\02_核心代码\environment.db 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - 系统监控线程启动 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - 系统监控线程启动 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - ✅ 环境接口初始化完成 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - ✅ 环境接口初始化完成 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - ✅ 环境接口连接到核心系统 2025-08-27 23:27:31,099 - EnvironmentInterface - INFO - ✅ 环境接口连接到核心系统 ===== 环境接口测试 ===== 工作区信息: { "workspace_root": "E:\\AI_System", "models_dir": "E:\\AI_System\\01_模型存储", "cache_dir": "E:\\AI_System\\01_模型存储/下载缓存", "system_dir": "E:\\AI_System\\02_核心代码", "temp_dir": "E:\\AI_System\\04_环境工具/临时补丁", "python_dir": "E:\\AI_System\\04_环境工具/Python环境" } 系统信息: { "os": "Windows 10", "cpu": "14 cores, 20 threads", "memory": "31.84 GB", "disk": "3815.43 GB", "python_version": "3.10.10" } 工作区内容: { "error": "[WinError 2] 系统找不到指定的文件。: 'E:\\\\AI_System\\\\main_agent.py'" } VIP系统测试: 2025-08-27 23:27:31,102 - EnvironmentInterface - INFO - Agent agent-001 请求访问 GPU 资源 2025-08-27 23:27:31,102 - EnvironmentInterface - INFO - Agent agent-001 请求访问 GPU 资源 请求访问权限: True VIP状态: { "GPU": { "available": true, "locked_by": null }, "HighMemory": { "available": true, "locked_by": null } } 2025-08-27 23:27:31,102 - EnvironmentInterface - INFO - Agent agent-001 释放 GPU 资源 2025-08-27 23:27:31,102 - EnvironmentInterface - INFO - Agent agent-001 释放 GPU 资源 释放后VIP状态: { "GPU": { "available": true, "locked_by": null }, "HighMemory": { "available": true, "locked_by": null } } 资源管理测试: 当前资源: [ { "id": 1, "name": "Theme-Dark", "type": "skin", "path": "/themes/dark", "is_active": false }, { "id": 2, "name": "Toolkit-AI", "type": "tool", "path": "/tools/ai_toolkit", "is_active": false } ] 激活资源: 激活结果: True 激活后资源状态: [ { "id": 1, "name": "Theme-Dark", "type": "skin", "path": "/themes/dark", "is_active": true }, { "id": 2, "name": "Toolkit-AI", "type": "tool", "path": "/tools/ai_toolkit", "is_active": false } ] 系统状态: { "initialized": true, "running": true, "last_updated": 1756308451.099932, "errors": [], "warnings": [] } 健康状态: 健康 - 系统运行正常 关闭系统... 2025-08-27 23:27:31,115 - EnvironmentInterface - INFO - 🛑 关闭环境接口... 2025-08-27 23:27:31,115 - EnvironmentInterface - INFO - 🛑 关闭环境接口... 2025-08-27 23:27:36,130 - EnvironmentInterface - INFO - ✅ 环境接口已关闭 2025-08-27 23:27:36,130 - EnvironmentInterface - INFO - ✅ 环境接口已关闭 ✅ 测试完成 (venv) PS E:\AI_System>

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PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> # 1. 导航到项目目录 PS C:\Users\Administrator\Desktop> cd E:\AI_System PS E:\AI_System> PS E:\AI_System> # 2. 激活虚拟环境(只需执行一次) PS E:\AI_System> venv\Scripts\activate (venv) PS E:\AI_System> (venv) PS E:\AI_System> # 3. 运行环境接口测试 (venv) PS E:\AI_System> python agent\environment_interface.py 2025-08-27 23:21:48,031 - CoreConfig - INFO - 📂 从 E:\AI_System\config\default.json 加载配置: { "LOG_DIR": "E:/AI_System/logs", "CONFIG_DIR": "E:/AI_System/config", "MODEL_CACHE_DIR": "E:/AI_System/model_cache", "AGENT_NAME": "\u5c0f\u84dd", "DEFAULT_USER": "\u7ba1\u7406\u5458", "MAX_WORKERS": 4, "AGENT_RESPONSE_TIMEOUT": 30.0, "MODEL_BASE_PATH": "E:/AI_Models", "MODEL_PATHS": { "TEXT_BASE": "E:/AI_Models/Qwen2-7B", "TEXT_CHAT": "E:/AI_Models/deepseek-7b-chat", "MULTIMODAL": "E:/AI_Models/deepseek-vl2", "IMAGE_GEN": "E:/AI_Models/sdxl", "YI_VL": "E:/AI_Models/yi-vl", "STABLE_DIFFUSION": "E:/AI_Models/stable-diffusion-xl-base-1.0" }, "NETWORK": { "HOST": "0.0.0.0", "FLASK_PORT": 8000, "GRADIO_PORT": 7860 }, "DATABASE": { "DB_HOST": "localhost", "DB_PORT": 5432, "DB_NAME": "ai_system", "DB_USER": "ai_user", "DB_PASSWORD": "secure_password_here" }, "SECURITY": { "SECRET_KEY": "generated-secret-key-here" }, "ENVIRONMENT": { "ENV": "dev", "LOG_LEVEL": "DEBUG", "USE_GPU": true }, "DIRECTORIES": { "DEFAULT_MODEL": "E:/AI_Models/Qwen2-7B", "WEB_UI_DIR": "E:/AI_System/web_ui", "AGENT_DIR": "E:/AI_System/agent", "PROJECT_ROOT": "E:/AI_System" } } 2025-08-27 23:21:48,031 - CoreConfig - INFO - 📂 从 E:\AI_System\config\local.json 加载配置: {} 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🌐 从 E:\AI_System\.env 加载环境变量 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_ROOT=E:\AI_System 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__PROJECT_ROOT=E:\AI_System 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__AGENT_DIR=E:\AI_System\agent 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__WEB_UI_DIR=E:\AI_System\web_ui 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DIRECTORIES__DEFAULT_MODEL=E:\AI_Models\Qwen2-7B 2025-08-27 23:21:48,032 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_ENVIRONMENT__LOG_LEVEL=DEBUG 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_HOST=localhost 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_PORT=5432 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_NAME=ai_system 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_USER=ai_user 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_DATABASE__DB_PASSWORD=****** 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_SECURITY__SECRET_KEY=****** 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__TEXT_BASE=E:\AI_Models\Qwen2-7B 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__TEXT_CHAT=E:\AI_Models\deepseek-7b-chat 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__MULTIMODAL=E:\AI_Models\deepseek-vl2 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__IMAGE_GEN=E:\AI_Models\sdxl 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__YI_VL=E:\AI_Models\yi-vl 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_MODEL_PATHS__STABLE_DIFFUSION=E:\AI_Models\stable-diffusion-xl-base-1.0 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__HOST=0.0.0.0 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__FLASK_PORT=8000 2025-08-27 23:21:48,033 - CoreConfig - INFO - 🔄 环境变量覆盖: AI_SYSTEM_NETWORK__GRADIO_PORT=7860 2025-08-27 23:21:48,034 - CoreConfig - WARNING - ⚠️ 模型路径不存在: STABLE_DIFFUSION = E:/AI_Models/stable-diffusion-xl-base-1.0 2025-08-27 23:21:48,034 - CoreConfig - INFO - ✅ 配置系统初始化完成 2025-08-27 23:21:48,416 - EnvironmentInterface - INFO - ✅ 初始化环境模块: EnvironmentInterface 2025-08-27 23:21:48,416 - EnvironmentInterface - INFO - ✅ 初始化环境模块: EnvironmentInterface Traceback (most recent call last): File "E:\AI_System\agent\environment_interface.py", line 198, in <module> env = EnvironmentInterface(config=config) File "E:\AI_System\agent\environment_interface.py", line 78, in __init__ self.workspace_root = self._resolve_workspace_path(self.base_dir) AttributeError: 'EnvironmentInterface' object has no attribute '_resolve_workspace_path' (venv) PS E:\AI_System> (venv) PS E:\AI_System> # 确认文件存在 (venv) PS E:\AI_System> dir agent\environment_interface.py Directory: E:\AI_System\agent Mode LastWriteTime Length Name ---- ------------- ------ ---- -a--- 2025/8/27 23:18 6972 environment_interface.py (venv) PS E:\AI_System> (venv) PS E:\AI_System> python --version Python 3.10.10 (venv) PS E:\AI_System> # 应该显示 Python 3.x (venv) PS E:\AI_System> # 检查虚拟环境中的包 (venv) PS E:\AI_System> pip list Package Version ------------------------- ------------ accelerate 0.27.2 aiofiles 23.2.1 aiohttp 3.9.3 aiosignal 1.4.0 altair 5.5.0 annotated-types 0.7.0 ansicon 1.89.0 anyio 4.10.0 async-timeout 4.0.3 attrs 25.3.0 bidict 0.23.1 blessed 1.21.0 blinker 1.9.0 Brotli 1.1.0 certifi 2025.8.3 cffi 1.17.1 charset-normalizer 3.4.3 click 8.2.1 colorama 0.4.6 coloredlogs 15.0.1 contourpy 1.3.2 cryptography 42.0.4 cycler 0.12.1 diffusers 0.26.3 diskcache 5.6.3 distro 1.9.0 exceptiongroup 1.3.0 fastapi 0.116.1 ffmpy 0.6.1 filelock 3.19.1 Flask 3.0.2 Flask-SocketIO 5.3.6 flatbuffers 25.2.10 fonttools 4.59.1 frozenlist 1.7.0 fsspec 2025.7.0 gpustat 1.1 gradio 4.19.2 gradio_client 0.10.1 groovy 0.1.2 h11 0.16.0 httpcore 1.0.9 httpx 0.28.1 huggingface-hub 0.21.3 humanfriendly 10.0 idna 3.10 importlib_metadata 8.7.0 importlib_resources 6.5.2 itsdangerous 2.2.0 Jinja2 3.1.6 jinxed 1.3.0 jsonschema 4.25.1 jsonschema-specifications 2025.4.1 kiwisolver 1.4.9 loguru 0.7.2 markdown-it-py 4.0.0 MarkupSafe 2.1.5 matplotlib 3.10.5 mdurl 0.1.2 mpmath 1.3.0 multidict 6.6.4 narwhals 2.1.2 networkx 3.4.2 numpy 1.26.3 nvidia-ml-py 13.580.65 onnxruntime 1.17.1 openai 1.13.3 orjson 3.11.2 packaging 25.0 pandas 2.1.4 pillow 10.4.0 pip 22.3.1 prettytable 3.16.0 propcache 0.3.2 protobuf 6.32.0 psutil 5.9.7 pycparser 2.22 pydantic 2.11.7 pydantic_core 2.33.2 pydub 0.25.1 Pygments 2.19.2 pyparsing 3.2.3 pyreadline3 3.5.4 python-dateutil 2.9.0.post0 python-dotenv 1.0.1 python-engineio 4.12.2 python-multipart 0.0.20 python-socketio 5.13.0 pytz 2025.2 pywin32 306 PyYAML 6.0.2 redis 5.0.3 referencing 0.36.2 regex 2025.7.34 requests 2.31.0 rich 14.1.0 rpds-py 0.27.0 ruff 0.12.10 safehttpx 0.1.6 safetensors 0.4.2 semantic-version 2.10.0 setuptools 65.5.0 shellingham 1.5.4 simple-websocket 1.1.0 six 1.17.0 sniffio 1.3.1 starlette 0.47.2 sympy 1.14.0 tomlkit 0.12.0 torch 2.1.2 torchaudio 2.5.1+cu118 torchvision 0.20.1+cu118 tqdm 4.67.1 transformers 4.37.0 typer 0.16.1 typing_extensions 4.14.1 typing-inspection 0.4.1 tzdata 2025.2 urllib3 2.5.0 uvicorn 0.35.0 waitress 2.1.2 wcwidth 0.2.13 websockets 11.0.3 Werkzeug 3.1.3 win32_setctime 1.2.0 wsproto 1.2.0 yarl 1.20.1 zipp 3.23.0 [notice] A new release of pip available: 22.3.1 -> 25.2 [notice] To update, run: python.exe -m pip install --upgrade pip (venv) PS E:\AI_System> # 应该包含 transformers, diskcache 等 (venv) PS E:\AI_System> # 进入Python交互模式 (venv) PS E:\AI_System> python Python 3.10.10 (tags/v3.10.10:aad5f6a, Feb 7 2023, 17:20:36) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>>

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import configparser import execjs import requests import time import json import os import sys import random import uuid import base64 from datetime import datetime from http.cookiejar import LWPCookieJar # 设备信息生成器(内置) class DeviceSimulator: @staticmethod def generate_device_info(): """生成模拟设备信息""" brands = ["Xiaomi", "Huawei", "OPPO", "vivo", "Apple", "Samsung"] models = { "Xiaomi": ["Mi 11", "Redmi Note 10", "Mi 10 Pro", "Redmi K40"], "Huawei": ["P40 Pro", "Mate 40", "Nova 8", "P30"], "OPPO": ["Reno 5", "Find X3", "A74", "A94"], "vivo": ["X60", "V21", "Y72", "Y20s"], "Apple": ["iPhone 13", "iPhone 12", "iPhone 11", "iPhone SE"], "Samsung": ["Galaxy S21", "Galaxy Note20", "Galaxy A52", "Galaxy Z Fold2"] } brand = random.choice(brands) model = random.choice(models[brand]) return { "device_id": str(uuid.uuid4()).replace('-', ''), "device_brand": brand, "device_model": model, "device_os": "Android" if brand != "Apple" else "iOS", "os_version": f"{random.randint(10, 13)}.{random.randint(0, 6)}.{random.randint(0, 9)}", "app_version": f"{random.randint(9, 12)}.{random.randint(0, 5)}.{random.randint(0, 50)}", "network_type": random.choice(["WIFI", "4G", "5G"]), "screen_width": str(random.randint(1080, 1440)), "screen_height": str(random.randint(1920, 3120)), "carrier": random.choice(["China Mobile", "China Telecom", "China Unicom"]), "language": "zh_CN", "timezone": "Asia/Shanghai" } # 快手登录工具(完整实现) class KuaishouLogin: def __init__(self, config_path='config.ini'): self.config = configparser.ConfigParser() self.config_path = config_path # 如果配置文件不存在,创建默认配置 if not os.path.exists(config_path): self.create_default_config() self.config.read(config_path) self.session = requests.Session() # 设置Cookie存储 self.session.cookies = LWPCookieJar('kuaishou_cookies.txt') if os.path.exists('kuaishou_cookies.txt'): try: self.session.cookies.load(ignore_discard=True) print("检测到已保存的Cookie") except: pass # 一次性生成设备信息并保持一致性 self.device_info = DeviceSimulator.generate_device_info() # 正确格式化设备信息头 self.headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36", "X-Device-Info": json.dumps(self.device_info, separators=(',', ':'), "Content-Type": "application/json" } # 加载JS加密环境 self.js_ctx = self.create_js_context() def create_default_config(self): """创建默认配置文件""" config = configparser.ConfigParser() config['API'] = { 'token_url': 'https://www.kuaishou.com/rest/rpc/login/getToken', 'login_url': 'https://www.kuaishou.com/rest/rpc/login/loginWithPassword', 'profile_url': 'https://www.kuaishou.com/graphql' } config['ACCOUNT'] = { 'username': 'your_phone_number', 'password': 'your_password' } with open(self.config_path, 'w', encoding='utf-8') as configfile: config.write(configfile) print(f"已创建默认配置文件 {self.config_path},请填写您的账号信息") def create_js_context(self): """创建JS执行环境(内置加密函数)""" js_code = """ // 基础加密函数(实际项目中应替换为真实算法) function encryptPassword(password) { // 简单示例:Base64编码 + 反转 return btoa(password.split('').reverse().join('')); } // 签名生成函数(实际项目中应替换为真实算法) function generateSignature(url, dataString, timestamp) { // 简单示例:组合数据并计算简单哈希 const rawString = url + dataString + timestamp; let hash = 0; for (let i = 0; i < rawString.length; i++) { const char = rawString.charCodeAt(i); hash = (hash << 5) - hash + char; hash |= 0; // 转换为32位整数 } return { "X-Signature": "sign_" + (hash >>> 0).toString(16), "X-Timestamp": timestamp.toString(), "X-Request-ID": "req_" + Math.random().toString(36).substr(2, 10) }; } """ return execjs.compile(js_code) def get_token(self): """获取动态令牌""" try: print("正在获取登录令牌...") resp = self.session.get( self.config['API']['token_url'], headers=self.headers, timeout=10 ) resp.raise_for_status() # 检查HTTP错误 token_data = resp.json() if token_data.get('result') == 1: token = token_data['token'] print(f"获取Token成功: {token[:10]}...") return token else: error_msg = token_data.get('error_msg', '未知错误') raise ValueError(f"Token API错误: {error_msg}") except Exception as e: print(f"获取Token失败: {str(e)}") return None def encrypt_password(self, pwd): """JS加密密码""" try: return self.js_ctx.call("encryptPassword", pwd) except Exception as e: print(f"密码加密失败: {str(e)}") return pwd # 失败时使用原始密码(实际不可行) def generate_headers(self, url, data): """生成签名请求头""" # 获取当前时间戳 timestamp = int(time.time() * 1000) # 毫秒级时间戳 try: # 调用JS生成签名 signature_headers = self.js_ctx.call( "generateSignature", url, json.dumps(data, separators=(',', ':')), # 保持JSON紧凑格式 timestamp ) # 合并基础头 return {**self.headers, **signature_headers} except Exception as e: print(f"生成签名失败: {str(e)}") return self.headers def login(self): """执行登录流程""" # 获取token(失败时退出) token = self.get_token() if not token: print("无法获取Token,登录终止") return False # 准备登录数据 username = self.config['ACCOUNT']['username'] password = self.config['ACCOUNT']['password'] login_data = { "mobile": username, "password": self.encrypt_password(password), "token": token, "device_id": self.device_info['device_id'] # 使用初始化时的设备ID } print(f"使用账号 {username} 尝试登录...") # 生成带签名的请求头 signed_headers = self.generate_headers( self.config['API']['login_url'], login_data ) try: # 发送登录请求 print("正在发送登录请求...") response = self.session.post( self.config['API']['login_url'], json=login_data, headers=signed_headers, timeout=15 ) response.raise_for_status() # 解析响应 login_result = response.json() if login_result.get('result') == 1: user_id = login_result.get('user_id', '未知') print(f"登录成功! 用户ID: {user_id}") # 保存Cookie self.session.cookies.save(ignore_discard=True) return True else: error_msg = login_result.get('error_msg', '未知错误') error_code = login_result.get('error_code', '未知') print(f"登录失败: {error_msg} (代码: {error_code})") return False except Exception as e: print(f"登录请求异常: {str(e)}") return False def get_user_profile(self): """获取用户资料""" if not self.is_logged_in(): print("需要先登录...") if not self.login(): return None try: print("正在获取用户资料...") profile_url = self.config['API']['profile_url'] # 构造用户资料查询 query = { "operationName": "userProfileQuery", "variables": {"userId": ""}, "query": "query userProfileQuery($userId: String) { userProfile(userId: $userId) { userId userName avatar userBio followerCount followingCount } }" } response = self.session.post( profile_url, json=query, headers=self.headers, timeout=10 ) response.raise_for_status() profile_data = response.json() if 'data' in profile_data and 'userProfile' in profile_data['data']: return profile_data['data']['userProfile'] else: errors = profile_data.get('errors', [{'message': '未知错误'}]) print(f"获取用户资料失败: {errors[0]['message']}") return None except Exception as e: print(f"获取用户资料异常: {str(e)}") return None def is_logged_in(self): """检查是否已登录""" # 检查Cookie是否有效 return any(cookie.name == 'sessionid' for cookie in self.session.cookies) def clear_session(self): """清除会话""" if os.path.exists('kuaishou_cookies.txt'): os.remove('kuaishou_cookies.txt') self.session.cookies = LWPCookieJar() print("会话已清除") # 用户界面 class KuaishouLoginApp: def __init__(self): self.login_tool = KuaishouLogin() self.current_user = None def print_banner(self): """打印欢迎横幅""" print("\n" + "=" * 50) print("快手登录工具 v1.0") print("=" * 50) print(f"设备ID: {self.login_tool.device_info['device_id']}") print(f"设备型号: {self.login_tool.device_info['device_brand']} {self.login_tool.device_info['device_model']}") print("=" * 50) def edit_config(self): """编辑配置文件""" try: # 读取当前配置 username = self.login_tool.config['ACCOUNT']['username'] password = self.login_tool.config['ACCOUNT']['password'] print("\n当前账号配置:") print(f"1. 用户名: {username}") print(f"2. 密码: {'*' * len(password)}") print("3. 返回主菜单") choice = input("请选择要修改的项 (1-3): ").strip() if choice == '1': new_username = input("请输入新用户名 (手机号): ").strip() if new_username: self.login_tool.config['ACCOUNT']['username'] = new_username with open(self.login_tool.config_path, 'w') as configfile: self.login_tool.config.write(configfile) print("用户名已更新!") else: print("用户名不能为空") elif choice == '2': new_password = input("请输入新密码: ").strip() if new_password: self.login_tool.config['ACCOUNT']['password'] = new_password with open(self.login_tool.config_path, 'w') as configfile: self.login_tool.config.write(configfile) print("密码已更新!") else: print("密码不能为空") except Exception as e: print(f"配置更新失败: {str(e)}") def run(self): """运行主程序""" self.print_banner() # 主菜单 while True: print("\n主菜单:") print("1. 登录账号") print("2. 获取用户资料") print("3. 账号设置") print("4. 清除会话") print("5. 退出程序") choice = input("请输入选项 (1-5): ").strip() if choice == '1': if self.login_tool.login(): self.current_user = self.login_tool.config['ACCOUNT']['username'] else: self.current_user = None elif choice == '2': profile = self.login_tool.get_user_profile() if profile: print("\n用户资料:") print(f"用户ID: {profile.get('userId', '未知')}") print(f"用户名: {profile.get('userName', '未知')}") print(f"头像: {profile.get('avatar', '无')[:30]}...") print(f"简介: {profile.get('userBio', '无')}") print(f"粉丝数: {profile.get('followerCount', '未知')}") print(f"关注数: {profile.get('followingCount', '未知')}") else: print("获取用户资料失败") elif choice == '3': self.edit_config() elif choice == '4': self.login_tool.clear_session() self.current_user = None print("会话已清除") elif choice == '5': print("感谢使用,再见!") break else: print("无效的选项,请重新输入") # 程序入口 if __name__ == "__main__": try: app = KuaishouLoginApp() app.run() except KeyboardInterrupt: print("\n程序已中断") sys.exit(0) except Exception as e: print(f"程序发生错误: {str(e)}") sys.exit(1) 帮我用以上的代码生成软件