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- 新增图像生成接口，支持试用、积分和自定义API Key模式 - 实现生成图片结果异步上传至MinIO存储，带重试机制 - 优化积分预扣除和异常退还逻辑，保障用户积分准确 - 添加获取生成历史记录接口，支持时间范围和分页 - 提供本地字典配置接口，支持模型、比例、提示模板和尺寸 - 实现图片批量上传接口，支持S3兼容对象存储 feat(admin): 增加管理员角色管理与权限分配接口 - 实现角色列表查询、角色创建、更新及删除功能 - 增加权限列表查询接口 - 实现用户角色分配接口，便于统一管理用户权限 - 增加系统字典增删查改接口，支持分类过滤和排序 - 权限控制全面覆盖管理接口，保证安全访问 feat(auth): 完善用户登录注册及权限相关接口与页面 - 实现手机号验证码发送及校验功能，保障注册安全 - 支持手机号注册、登录及退出接口，集成日志记录 - 增加修改密码功能，验证原密码后更新 - 提供动态导航菜单接口，基于权限展示不同菜单 - 实现管理界面路由及日志、角色、字典管理页面访问权限控制 - 添加系统日志查询接口，支持关键词和等级筛选 feat(app): 初始化Flask应用并配置蓝图与数据库 - 创建应用程序工厂，加载配置，初始化数据库和Redis客户端 - 注册认证、API及管理员蓝图，整合路由 - 根路由渲染主页模板 - 应用上下文中自动创建数据库表，保证运行环境准备完毕 feat(database): 提供数据库创建与迁移支持脚本 - 新增数据库创建脚本，支持自动检测是否已存在 - 添加数据库表初始化脚本，支持创建和删除所有表 - 实现RBAC权限初始化，包含基础权限和角色创建 - 新增字段手动修复脚本，添加用户API Key和积分字段 - 强制迁移脚本支持清理连接和修复表结构，初始化默认数据及角色分配 feat(config): 新增系统配置参数 - 配置数据库、Redis、Session和MinIO相关参数 - 添加AI接口地址及试用Key配置 - 集成阿里云短信服务配置及开发模式相关参数 feat(extensions): 初始化数据库、Redis和MinIO客户端 - 创建全局SQLAlchemy数据库实例和Redis客户端 - 配置基于boto3的MinIO兼容S3客户端 chore(logs): 添加示例系统日志文件 - 记录用户请求、验证码发送成功与失败的日志信息
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118 lines
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Metadata-Version: 2.4
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Name: greenlet
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Version: 3.3.0
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Summary: Lightweight in-process concurrent programming
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Home-page: https://greenlet.readthedocs.io/
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Author: Alexey Borzenkov
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Author-email: snaury@gmail.com
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Maintainer: Jason Madden
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Maintainer-email: jason@seecoresoftware.com
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License: MIT AND Python-2.0
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Project-URL: Bug Tracker, https://github.com/python-greenlet/greenlet/issues
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Project-URL: Source Code, https://github.com/python-greenlet/greenlet/
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Project-URL: Documentation, https://greenlet.readthedocs.io/
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Project-URL: Changes, https://greenlet.readthedocs.io/en/latest/changes.html
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Keywords: greenlet coroutine concurrency threads cooperative
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Platform: any
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Natural Language :: English
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Classifier: Programming Language :: C
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Classifier: Operating System :: OS Independent
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Requires-Python: >=3.10
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Description-Content-Type: text/x-rst
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License-File: LICENSE
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License-File: LICENSE.PSF
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Provides-Extra: docs
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Requires-Dist: Sphinx; extra == "docs"
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Requires-Dist: furo; extra == "docs"
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Provides-Extra: test
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Requires-Dist: objgraph; extra == "test"
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Requires-Dist: psutil; extra == "test"
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Requires-Dist: setuptools; extra == "test"
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Dynamic: author
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Dynamic: description
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Dynamic: description-content-type
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Dynamic: home-page
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Dynamic: keywords
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Dynamic: license
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Dynamic: license-file
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Dynamic: maintainer
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Dynamic: summary
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.. This file is included into docs/history.rst
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Greenlets are lightweight coroutines for in-process concurrent
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programming.
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The "greenlet" package is a spin-off of `Stackless`_, a version of
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CPython that supports micro-threads called "tasklets". Tasklets run
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pseudo-concurrently (typically in a single or a few OS-level threads)
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and are synchronized with data exchanges on "channels".
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A "greenlet", on the other hand, is a still more primitive notion of
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micro-thread with no implicit scheduling; coroutines, in other words.
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This is useful when you want to control exactly when your code runs.
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You can build custom scheduled micro-threads on top of greenlet;
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however, it seems that greenlets are useful on their own as a way to
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make advanced control flow structures. For example, we can recreate
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generators; the difference with Python's own generators is that our
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generators can call nested functions and the nested functions can
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yield values too. (Additionally, you don't need a "yield" keyword. See
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the example in `test_generator.py
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<https://github.com/python-greenlet/greenlet/blob/adca19bf1f287b3395896a8f41f3f4fd1797fdc7/src/greenlet/tests/test_generator.py#L1>`_).
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Greenlets are provided as a C extension module for the regular unmodified
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interpreter.
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.. _`Stackless`: http://www.stackless.com
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Who is using Greenlet?
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======================
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There are several libraries that use Greenlet as a more flexible
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alternative to Python's built in coroutine support:
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- `Concurrence`_
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- `Eventlet`_
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- `Gevent`_
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.. _Concurrence: http://opensource.hyves.org/concurrence/
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.. _Eventlet: http://eventlet.net/
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.. _Gevent: http://www.gevent.org/
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Getting Greenlet
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================
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The easiest way to get Greenlet is to install it with pip::
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pip install greenlet
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Source code archives and binary distributions are available on the
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python package index at https://pypi.org/project/greenlet
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The source code repository is hosted on github:
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https://github.com/python-greenlet/greenlet
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Documentation is available on readthedocs.org:
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https://greenlet.readthedocs.io
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