- 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
158 lines
5.2 KiB
Python
158 lines
5.2 KiB
Python
# dialects/sqlite/pysqlcipher.py
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# Copyright (C) 2005-2025 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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"""
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.. dialect:: sqlite+pysqlcipher
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:name: pysqlcipher
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:dbapi: sqlcipher 3 or pysqlcipher
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:connectstring: sqlite+pysqlcipher://:passphrase@/file_path[?kdf_iter=<iter>]
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Dialect for support of DBAPIs that make use of the
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`SQLCipher <https://www.zetetic.net/sqlcipher>`_ backend.
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Driver
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------
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Current dialect selection logic is:
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* If the :paramref:`_sa.create_engine.module` parameter supplies a DBAPI module,
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that module is used.
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* Otherwise for Python 3, choose https://pypi.org/project/sqlcipher3/
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* If not available, fall back to https://pypi.org/project/pysqlcipher3/
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* For Python 2, https://pypi.org/project/pysqlcipher/ is used.
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.. warning:: The ``pysqlcipher3`` and ``pysqlcipher`` DBAPI drivers are no
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longer maintained; the ``sqlcipher3`` driver as of this writing appears
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to be current. For future compatibility, any pysqlcipher-compatible DBAPI
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may be used as follows::
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import sqlcipher_compatible_driver
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from sqlalchemy import create_engine
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e = create_engine(
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"sqlite+pysqlcipher://:password@/dbname.db",
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module=sqlcipher_compatible_driver,
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)
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These drivers make use of the SQLCipher engine. This system essentially
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introduces new PRAGMA commands to SQLite which allows the setting of a
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passphrase and other encryption parameters, allowing the database file to be
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encrypted.
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Connect Strings
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---------------
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The format of the connect string is in every way the same as that
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of the :mod:`~sqlalchemy.dialects.sqlite.pysqlite` driver, except that the
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"password" field is now accepted, which should contain a passphrase::
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e = create_engine("sqlite+pysqlcipher://:testing@/foo.db")
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For an absolute file path, two leading slashes should be used for the
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database name::
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e = create_engine("sqlite+pysqlcipher://:testing@//path/to/foo.db")
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A selection of additional encryption-related pragmas supported by SQLCipher
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as documented at https://www.zetetic.net/sqlcipher/sqlcipher-api/ can be passed
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in the query string, and will result in that PRAGMA being called for each
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new connection. Currently, ``cipher``, ``kdf_iter``
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``cipher_page_size`` and ``cipher_use_hmac`` are supported::
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e = create_engine(
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"sqlite+pysqlcipher://:testing@/foo.db?cipher=aes-256-cfb&kdf_iter=64000"
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)
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.. warning:: Previous versions of sqlalchemy did not take into consideration
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the encryption-related pragmas passed in the url string, that were silently
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ignored. This may cause errors when opening files saved by a
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previous sqlalchemy version if the encryption options do not match.
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Pooling Behavior
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----------------
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The driver makes a change to the default pool behavior of pysqlite
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as described in :ref:`pysqlite_threading_pooling`. The pysqlcipher driver
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has been observed to be significantly slower on connection than the
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pysqlite driver, most likely due to the encryption overhead, so the
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dialect here defaults to using the :class:`.SingletonThreadPool`
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implementation,
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instead of the :class:`.NullPool` pool used by pysqlite. As always, the pool
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implementation is entirely configurable using the
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:paramref:`_sa.create_engine.poolclass` parameter; the :class:`.
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StaticPool` may
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be more feasible for single-threaded use, or :class:`.NullPool` may be used
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to prevent unencrypted connections from being held open for long periods of
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time, at the expense of slower startup time for new connections.
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""" # noqa
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from .pysqlite import SQLiteDialect_pysqlite
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from ... import pool
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class SQLiteDialect_pysqlcipher(SQLiteDialect_pysqlite):
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driver = "pysqlcipher"
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supports_statement_cache = True
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pragmas = ("kdf_iter", "cipher", "cipher_page_size", "cipher_use_hmac")
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@classmethod
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def import_dbapi(cls):
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try:
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import sqlcipher3 as sqlcipher
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except ImportError:
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pass
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else:
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return sqlcipher
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from pysqlcipher3 import dbapi2 as sqlcipher
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return sqlcipher
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@classmethod
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def get_pool_class(cls, url):
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return pool.SingletonThreadPool
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def on_connect_url(self, url):
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super_on_connect = super().on_connect_url(url)
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# pull the info we need from the URL early. Even though URL
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# is immutable, we don't want any in-place changes to the URL
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# to affect things
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passphrase = url.password or ""
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url_query = dict(url.query)
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def on_connect(conn):
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cursor = conn.cursor()
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cursor.execute('pragma key="%s"' % passphrase)
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for prag in self.pragmas:
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value = url_query.get(prag, None)
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if value is not None:
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cursor.execute('pragma %s="%s"' % (prag, value))
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cursor.close()
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if super_on_connect:
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super_on_connect(conn)
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return on_connect
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def create_connect_args(self, url):
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plain_url = url._replace(password=None)
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plain_url = plain_url.difference_update_query(self.pragmas)
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return super().create_connect_args(plain_url)
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dialect = SQLiteDialect_pysqlcipher
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