- 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
215 lines
7.9 KiB
Python
215 lines
7.9 KiB
Python
# Copyright 2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"). You
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# may not use this file except in compliance with the License. A copy of
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# the License is located at
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#
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# https://aws.amazon.com/apache2.0/
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#
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# or in the "license" file accompanying this file. This file is
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# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
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# ANY KIND, either express or implied. See the License for the specific
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# language governing permissions and limitations under the License.
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import os
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from botocore import xform_name
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from botocore.docs.bcdoc.restdoc import DocumentStructure
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from botocore.docs.method import (
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document_custom_method,
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document_model_driven_method,
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)
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from botocore.model import OperationModel
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from botocore.utils import get_service_module_name
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from boto3.docs.base import NestedDocumenter
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from boto3.docs.method import document_model_driven_resource_method
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from boto3.docs.utils import (
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add_resource_type_overview,
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get_resource_ignore_params,
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get_resource_public_actions,
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)
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PUT_DATA_WARNING_MESSAGE = """
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.. warning::
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It is recommended to use the :py:meth:`put_metric_data`
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:doc:`client method <../../cloudwatch/client/put_metric_data>`
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instead. If you would still like to use this resource method,
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please make sure that ``MetricData[].MetricName`` is equal to
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the metric resource's ``name`` attribute.
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"""
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WARNING_MESSAGES = {
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"Metric": {"put_data": PUT_DATA_WARNING_MESSAGE},
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}
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IGNORE_PARAMS = {"Metric": {"put_data": ["Namespace"]}}
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class ActionDocumenter(NestedDocumenter):
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def document_actions(self, section):
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modeled_actions_list = self._resource_model.actions
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modeled_actions = {}
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for modeled_action in modeled_actions_list:
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modeled_actions[modeled_action.name] = modeled_action
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resource_actions = get_resource_public_actions(
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self._resource.__class__
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)
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self.member_map['actions'] = sorted(resource_actions)
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add_resource_type_overview(
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section=section,
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resource_type='Actions',
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description=(
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'Actions call operations on resources. They may '
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'automatically handle the passing in of arguments set '
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'from identifiers and some attributes.'
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),
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intro_link='actions_intro',
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)
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resource_warnings = WARNING_MESSAGES.get(self._resource_name, {})
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for action_name in sorted(resource_actions):
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# Create a new DocumentStructure for each action and add contents.
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action_doc = DocumentStructure(action_name, target='html')
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breadcrumb_section = action_doc.add_new_section('breadcrumb')
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breadcrumb_section.style.ref(self._resource_class_name, 'index')
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breadcrumb_section.write(f' / Action / {action_name}')
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action_doc.add_title_section(action_name)
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warning_message = resource_warnings.get(action_name)
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if warning_message is not None:
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action_doc.add_new_section("warning").write(warning_message)
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action_section = action_doc.add_new_section(
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action_name,
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context={'qualifier': f'{self.class_name}.'},
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)
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if action_name in ['load', 'reload'] and self._resource_model.load:
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document_load_reload_action(
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section=action_section,
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action_name=action_name,
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resource_name=self._resource_name,
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event_emitter=self._resource.meta.client.meta.events,
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load_model=self._resource_model.load,
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service_model=self._service_model,
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)
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elif action_name in modeled_actions:
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document_action(
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section=action_section,
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resource_name=self._resource_name,
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event_emitter=self._resource.meta.client.meta.events,
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action_model=modeled_actions[action_name],
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service_model=self._service_model,
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)
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else:
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document_custom_method(
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action_section, action_name, resource_actions[action_name]
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)
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# Write actions in individual/nested files.
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# Path: <root>/reference/services/<service>/<resource_name>/<action_name>.rst
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actions_dir_path = os.path.join(
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self._root_docs_path,
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f'{self._service_name}',
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f'{self._resource_sub_path}',
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)
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action_doc.write_to_file(actions_dir_path, action_name)
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def document_action(
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section,
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resource_name,
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event_emitter,
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action_model,
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service_model,
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include_signature=True,
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):
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"""Documents a resource action
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:param section: The section to write to
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:param resource_name: The name of the resource
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:param event_emitter: The event emitter to use to emit events
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:param action_model: The model of the action
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:param service_model: The model of the service
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:param include_signature: Whether or not to include the signature.
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It is useful for generating docstrings.
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"""
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operation_model = service_model.operation_model(
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action_model.request.operation
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)
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ignore_params = IGNORE_PARAMS.get(resource_name, {}).get(
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action_model.name,
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get_resource_ignore_params(action_model.request.params),
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)
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example_return_value = 'response'
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if action_model.resource:
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example_return_value = xform_name(action_model.resource.type)
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example_resource_name = xform_name(resource_name)
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if service_model.service_name == resource_name:
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example_resource_name = resource_name
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example_prefix = (
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f'{example_return_value} = {example_resource_name}.{action_model.name}'
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)
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full_action_name = (
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f"{section.context.get('qualifier', '')}{action_model.name}"
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)
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document_model_driven_resource_method(
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section=section,
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method_name=full_action_name,
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operation_model=operation_model,
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event_emitter=event_emitter,
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method_description=operation_model.documentation,
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example_prefix=example_prefix,
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exclude_input=ignore_params,
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resource_action_model=action_model,
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include_signature=include_signature,
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)
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def document_load_reload_action(
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section,
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action_name,
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resource_name,
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event_emitter,
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load_model,
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service_model,
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include_signature=True,
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):
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"""Documents the resource load action
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:param section: The section to write to
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:param action_name: The name of the loading action should be load or reload
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:param resource_name: The name of the resource
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:param event_emitter: The event emitter to use to emit events
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:param load_model: The model of the load action
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:param service_model: The model of the service
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:param include_signature: Whether or not to include the signature.
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It is useful for generating docstrings.
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"""
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description = (
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f'Calls :py:meth:`{get_service_module_name(service_model)}.Client.'
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f'{xform_name(load_model.request.operation)}` to update the attributes of the '
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f'{resource_name} resource. Note that the load and reload methods are '
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'the same method and can be used interchangeably.'
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)
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example_resource_name = xform_name(resource_name)
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if service_model.service_name == resource_name:
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example_resource_name = resource_name
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example_prefix = f'{example_resource_name}.{action_name}'
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full_action_name = f"{section.context.get('qualifier', '')}{action_name}"
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document_model_driven_method(
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section=section,
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method_name=full_action_name,
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operation_model=OperationModel({}, service_model),
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event_emitter=event_emitter,
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method_description=description,
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example_prefix=example_prefix,
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include_signature=include_signature,
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)
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