ai_v/venv/Lib/site-packages/boto3/resources/base.py
24024 af7c11d7f9 feat(api): 实现图像生成及后台同步功能
- 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
2026-01-12 00:53:31 +08:00

150 lines
4.8 KiB
Python

# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# https://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
import logging
import boto3
logger = logging.getLogger(__name__)
class ResourceMeta:
"""
An object containing metadata about a resource.
"""
def __init__(
self,
service_name,
identifiers=None,
client=None,
data=None,
resource_model=None,
):
#: (``string``) The service name, e.g. 's3'
self.service_name = service_name
if identifiers is None:
identifiers = []
#: (``list``) List of identifier names
self.identifiers = identifiers
#: (:py:class:`~botocore.client.BaseClient`) Low-level Botocore client
self.client = client
#: (``dict``) Loaded resource data attributes
self.data = data
# The resource model for that resource
self.resource_model = resource_model
def __repr__(self):
return f'ResourceMeta(\'{self.service_name}\', identifiers={self.identifiers})'
def __eq__(self, other):
# Two metas are equal if their components are all equal
if other.__class__.__name__ != self.__class__.__name__:
return False
return self.__dict__ == other.__dict__
def copy(self):
"""
Create a copy of this metadata object.
"""
params = self.__dict__.copy()
service_name = params.pop('service_name')
return ResourceMeta(service_name, **params)
class ServiceResource:
"""
A base class for resources.
:type client: botocore.client
:param client: A low-level Botocore client instance
"""
meta = None
"""
Stores metadata about this resource instance, such as the
``service_name``, the low-level ``client`` and any cached ``data``
from when the instance was hydrated. For example::
# Get a low-level client from a resource instance
client = resource.meta.client
response = client.operation(Param='foo')
# Print the resource instance's service short name
print(resource.meta.service_name)
See :py:class:`ResourceMeta` for more information.
"""
def __init__(self, *args, **kwargs):
# Always work on a copy of meta, otherwise we would affect other
# instances of the same subclass.
self.meta = self.meta.copy()
# Create a default client if none was passed
if kwargs.get('client') is not None:
self.meta.client = kwargs.get('client')
else:
self.meta.client = boto3.client(self.meta.service_name)
# Allow setting identifiers as positional arguments in the order
# in which they were defined in the ResourceJSON.
for i, value in enumerate(args):
setattr(self, f"_{self.meta.identifiers[i]}", value)
# Allow setting identifiers via keyword arguments. Here we need
# extra logic to ignore other keyword arguments like ``client``.
for name, value in kwargs.items():
if name == 'client':
continue
if name not in self.meta.identifiers:
raise ValueError(f'Unknown keyword argument: {name}')
setattr(self, f"_{name}", value)
# Validate that all identifiers have been set.
for identifier in self.meta.identifiers:
if getattr(self, identifier) is None:
raise ValueError(f'Required parameter {identifier} not set')
def __repr__(self):
identifiers = [
f'{identifier}={repr(getattr(self, identifier))}'
for identifier in self.meta.identifiers
]
return f"{self.__class__.__name__}({', '.join(identifiers)})"
def __eq__(self, other):
# Should be instances of the same resource class
if other.__class__.__name__ != self.__class__.__name__:
return False
# Each of the identifiers should have the same value in both
# instances, e.g. two buckets need the same name to be equal.
for identifier in self.meta.identifiers:
if getattr(self, identifier) != getattr(other, identifier):
return False
return True
def __hash__(self):
identifiers = []
for identifier in self.meta.identifiers:
identifiers.append(getattr(self, identifier))
return hash((self.__class__.__name__, tuple(identifiers)))