ai_v/venv/Lib/site-packages/boto3/docs/action.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

215 lines
7.9 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 os
from botocore import xform_name
from botocore.docs.bcdoc.restdoc import DocumentStructure
from botocore.docs.method import (
document_custom_method,
document_model_driven_method,
)
from botocore.model import OperationModel
from botocore.utils import get_service_module_name
from boto3.docs.base import NestedDocumenter
from boto3.docs.method import document_model_driven_resource_method
from boto3.docs.utils import (
add_resource_type_overview,
get_resource_ignore_params,
get_resource_public_actions,
)
PUT_DATA_WARNING_MESSAGE = """
.. warning::
It is recommended to use the :py:meth:`put_metric_data`
:doc:`client method <../../cloudwatch/client/put_metric_data>`
instead. If you would still like to use this resource method,
please make sure that ``MetricData[].MetricName`` is equal to
the metric resource's ``name`` attribute.
"""
WARNING_MESSAGES = {
"Metric": {"put_data": PUT_DATA_WARNING_MESSAGE},
}
IGNORE_PARAMS = {"Metric": {"put_data": ["Namespace"]}}
class ActionDocumenter(NestedDocumenter):
def document_actions(self, section):
modeled_actions_list = self._resource_model.actions
modeled_actions = {}
for modeled_action in modeled_actions_list:
modeled_actions[modeled_action.name] = modeled_action
resource_actions = get_resource_public_actions(
self._resource.__class__
)
self.member_map['actions'] = sorted(resource_actions)
add_resource_type_overview(
section=section,
resource_type='Actions',
description=(
'Actions call operations on resources. They may '
'automatically handle the passing in of arguments set '
'from identifiers and some attributes.'
),
intro_link='actions_intro',
)
resource_warnings = WARNING_MESSAGES.get(self._resource_name, {})
for action_name in sorted(resource_actions):
# Create a new DocumentStructure for each action and add contents.
action_doc = DocumentStructure(action_name, target='html')
breadcrumb_section = action_doc.add_new_section('breadcrumb')
breadcrumb_section.style.ref(self._resource_class_name, 'index')
breadcrumb_section.write(f' / Action / {action_name}')
action_doc.add_title_section(action_name)
warning_message = resource_warnings.get(action_name)
if warning_message is not None:
action_doc.add_new_section("warning").write(warning_message)
action_section = action_doc.add_new_section(
action_name,
context={'qualifier': f'{self.class_name}.'},
)
if action_name in ['load', 'reload'] and self._resource_model.load:
document_load_reload_action(
section=action_section,
action_name=action_name,
resource_name=self._resource_name,
event_emitter=self._resource.meta.client.meta.events,
load_model=self._resource_model.load,
service_model=self._service_model,
)
elif action_name in modeled_actions:
document_action(
section=action_section,
resource_name=self._resource_name,
event_emitter=self._resource.meta.client.meta.events,
action_model=modeled_actions[action_name],
service_model=self._service_model,
)
else:
document_custom_method(
action_section, action_name, resource_actions[action_name]
)
# Write actions in individual/nested files.
# Path: <root>/reference/services/<service>/<resource_name>/<action_name>.rst
actions_dir_path = os.path.join(
self._root_docs_path,
f'{self._service_name}',
f'{self._resource_sub_path}',
)
action_doc.write_to_file(actions_dir_path, action_name)
def document_action(
section,
resource_name,
event_emitter,
action_model,
service_model,
include_signature=True,
):
"""Documents a resource action
:param section: The section to write to
:param resource_name: The name of the resource
:param event_emitter: The event emitter to use to emit events
:param action_model: The model of the action
:param service_model: The model of the service
:param include_signature: Whether or not to include the signature.
It is useful for generating docstrings.
"""
operation_model = service_model.operation_model(
action_model.request.operation
)
ignore_params = IGNORE_PARAMS.get(resource_name, {}).get(
action_model.name,
get_resource_ignore_params(action_model.request.params),
)
example_return_value = 'response'
if action_model.resource:
example_return_value = xform_name(action_model.resource.type)
example_resource_name = xform_name(resource_name)
if service_model.service_name == resource_name:
example_resource_name = resource_name
example_prefix = (
f'{example_return_value} = {example_resource_name}.{action_model.name}'
)
full_action_name = (
f"{section.context.get('qualifier', '')}{action_model.name}"
)
document_model_driven_resource_method(
section=section,
method_name=full_action_name,
operation_model=operation_model,
event_emitter=event_emitter,
method_description=operation_model.documentation,
example_prefix=example_prefix,
exclude_input=ignore_params,
resource_action_model=action_model,
include_signature=include_signature,
)
def document_load_reload_action(
section,
action_name,
resource_name,
event_emitter,
load_model,
service_model,
include_signature=True,
):
"""Documents the resource load action
:param section: The section to write to
:param action_name: The name of the loading action should be load or reload
:param resource_name: The name of the resource
:param event_emitter: The event emitter to use to emit events
:param load_model: The model of the load action
:param service_model: The model of the service
:param include_signature: Whether or not to include the signature.
It is useful for generating docstrings.
"""
description = (
f'Calls :py:meth:`{get_service_module_name(service_model)}.Client.'
f'{xform_name(load_model.request.operation)}` to update the attributes of the '
f'{resource_name} resource. Note that the load and reload methods are '
'the same method and can be used interchangeably.'
)
example_resource_name = xform_name(resource_name)
if service_model.service_name == resource_name:
example_resource_name = resource_name
example_prefix = f'{example_resource_name}.{action_name}'
full_action_name = f"{section.context.get('qualifier', '')}{action_name}"
document_model_driven_method(
section=section,
method_name=full_action_name,
operation_model=OperationModel({}, service_model),
event_emitter=event_emitter,
method_description=description,
example_prefix=example_prefix,
include_signature=include_signature,
)