ai_v/venv/Lib/site-packages/boto3/dynamodb/table.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

168 lines
6.2 KiB
Python

# Copyright 2015 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
logger = logging.getLogger(__name__)
def register_table_methods(base_classes, **kwargs):
base_classes.insert(0, TableResource)
# This class can be used to add any additional methods we want
# onto a table resource. Ideally to avoid creating a new
# base class for every method we can just update this
# class instead. Just be sure to move the bulk of the
# actual method implementation to another class.
class TableResource:
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def batch_writer(self, overwrite_by_pkeys=None):
"""Create a batch writer object.
This method creates a context manager for writing
objects to Amazon DynamoDB in batch.
The batch writer will automatically handle buffering and sending items
in batches. In addition, the batch writer will also automatically
handle any unprocessed items and resend them as needed. All you need
to do is call ``put_item`` for any items you want to add, and
``delete_item`` for any items you want to delete.
Example usage::
with table.batch_writer() as batch:
for _ in range(1000000):
batch.put_item(Item={'HashKey': '...',
'Otherstuff': '...'})
# You can also delete_items in a batch.
batch.delete_item(Key={'HashKey': 'SomeHashKey'})
:type overwrite_by_pkeys: list(string)
:param overwrite_by_pkeys: De-duplicate request items in buffer
if match new request item on specified primary keys. i.e
``["partition_key1", "sort_key2", "sort_key3"]``
"""
return BatchWriter(
self.name, self.meta.client, overwrite_by_pkeys=overwrite_by_pkeys
)
class BatchWriter:
"""Automatically handle batch writes to DynamoDB for a single table."""
def __init__(
self, table_name, client, flush_amount=25, overwrite_by_pkeys=None
):
"""
:type table_name: str
:param table_name: The name of the table. The class handles
batch writes to a single table.
:type client: ``botocore.client.Client``
:param client: A botocore client. Note this client
**must** have the dynamodb customizations applied
to it for transforming AttributeValues into the
wire protocol. What this means in practice is that
you need to use a client that comes from a DynamoDB
resource if you're going to instantiate this class
directly, i.e
``boto3.resource('dynamodb').Table('foo').meta.client``.
:type flush_amount: int
:param flush_amount: The number of items to keep in
a local buffer before sending a batch_write_item
request to DynamoDB.
:type overwrite_by_pkeys: list(string)
:param overwrite_by_pkeys: De-duplicate request items in buffer
if match new request item on specified primary keys. i.e
``["partition_key1", "sort_key2", "sort_key3"]``
"""
self._table_name = table_name
self._client = client
self._items_buffer = []
self._flush_amount = flush_amount
self._overwrite_by_pkeys = overwrite_by_pkeys
def put_item(self, Item):
self._add_request_and_process({'PutRequest': {'Item': Item}})
def delete_item(self, Key):
self._add_request_and_process({'DeleteRequest': {'Key': Key}})
def _add_request_and_process(self, request):
if self._overwrite_by_pkeys:
self._remove_dup_pkeys_request_if_any(request)
self._items_buffer.append(request)
self._flush_if_needed()
def _remove_dup_pkeys_request_if_any(self, request):
pkey_values_new = self._extract_pkey_values(request)
for item in self._items_buffer:
if self._extract_pkey_values(item) == pkey_values_new:
self._items_buffer.remove(item)
logger.debug(
"With overwrite_by_pkeys enabled, skipping request:%s",
item,
)
def _extract_pkey_values(self, request):
if request.get('PutRequest'):
return [
request['PutRequest']['Item'][key]
for key in self._overwrite_by_pkeys
]
elif request.get('DeleteRequest'):
return [
request['DeleteRequest']['Key'][key]
for key in self._overwrite_by_pkeys
]
return None
def _flush_if_needed(self):
if len(self._items_buffer) >= self._flush_amount:
self._flush()
def _flush(self):
items_to_send = self._items_buffer[: self._flush_amount]
self._items_buffer = self._items_buffer[self._flush_amount :]
response = self._client.batch_write_item(
RequestItems={self._table_name: items_to_send}
)
unprocessed_items = response['UnprocessedItems']
if not unprocessed_items:
unprocessed_items = {}
item_list = unprocessed_items.get(self._table_name, [])
# Any unprocessed_items are immediately added to the
# next batch we send.
self._items_buffer.extend(item_list)
logger.debug(
"Batch write sent %s, unprocessed: %s",
len(items_to_send),
len(self._items_buffer),
)
def __enter__(self):
return self
def __exit__(self, exc_type, exc_value, tb):
# When we exit, we need to keep flushing whatever's left
# until there's nothing left in our items buffer.
while self._items_buffer:
self._flush()