- 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
291 lines
11 KiB
Python
291 lines
11 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 get_instance_public_methods
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from botocore.docs.utils import DocumentedShape
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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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)
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class CollectionDocumenter(NestedDocumenter):
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def document_collections(self, section):
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collections = self._resource.meta.resource_model.collections
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collections_list = []
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add_resource_type_overview(
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section=section,
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resource_type='Collections',
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description=(
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'Collections provide an interface to iterate over and '
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'manipulate groups of resources. '
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),
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intro_link='guide_collections',
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)
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self.member_map['collections'] = collections_list
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for collection in collections:
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collections_list.append(collection.name)
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# Create a new DocumentStructure for each collection and add contents.
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collection_doc = DocumentStructure(collection.name, target='html')
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breadcrumb_section = collection_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' / Collection / {collection.name}')
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collection_doc.add_title_section(collection.name)
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collection_section = collection_doc.add_new_section(
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collection.name,
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context={'qualifier': f'{self.class_name}.'},
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)
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self._document_collection(collection_section, collection)
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# Write collections in individual/nested files.
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# Path: <root>/reference/services/<service>/<resource_name>/<collection_name>.rst
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collections_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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collection_doc.write_to_file(collections_dir_path, collection.name)
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def _document_collection(self, section, collection):
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methods = get_instance_public_methods(
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getattr(self._resource, collection.name)
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)
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document_collection_object(section, collection)
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batch_actions = {}
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for batch_action in collection.batch_actions:
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batch_actions[batch_action.name] = batch_action
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for method in sorted(methods):
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method_section = section.add_new_section(method)
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if method in batch_actions:
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document_batch_action(
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section=method_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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batch_action_model=batch_actions[method],
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collection_model=collection,
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service_model=self._resource.meta.client.meta.service_model,
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)
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else:
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document_collection_method(
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section=method_section,
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resource_name=self._resource_name,
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action_name=method,
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event_emitter=self._resource.meta.client.meta.events,
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collection_model=collection,
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service_model=self._resource.meta.client.meta.service_model,
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)
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def document_collection_object(
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section,
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collection_model,
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include_signature=True,
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):
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"""Documents a collection resource object
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:param section: The section to write to
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:param collection_model: The model of the collection
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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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if include_signature:
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full_collection_name = (
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f"{section.context.get('qualifier', '')}{collection_model.name}"
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)
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section.style.start_sphinx_py_attr(full_collection_name)
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section.include_doc_string(
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f'A collection of {collection_model.resource.type} resources.'
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)
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section.include_doc_string(
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f'A {collection_model.resource.type} Collection will include all '
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f'resources by default, and extreme caution should be taken when '
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f'performing actions on all resources.'
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)
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def document_batch_action(
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section,
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resource_name,
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event_emitter,
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batch_action_model,
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service_model,
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collection_model,
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include_signature=True,
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):
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"""Documents a collection's batch 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 action_name: The name of collection action. Currently only
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can be all, filter, limit, or page_size
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:param event_emitter: The event emitter to use to emit events
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:param batch_action_model: The model of the batch action
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:param collection_model: The model of the collection
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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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batch_action_model.request.operation
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)
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ignore_params = get_resource_ignore_params(
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batch_action_model.request.params
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)
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example_return_value = 'response'
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if batch_action_model.resource:
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example_return_value = xform_name(batch_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 = f'{example_return_value} = {example_resource_name}.{collection_model.name}.{batch_action_model.name}'
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document_model_driven_resource_method(
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section=section,
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method_name=batch_action_model.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=batch_action_model,
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include_signature=include_signature,
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)
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def document_collection_method(
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section,
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resource_name,
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action_name,
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event_emitter,
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collection_model,
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service_model,
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include_signature=True,
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):
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"""Documents a collection method
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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 action_name: The name of collection action. Currently only
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can be all, filter, limit, or page_size
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:param event_emitter: The event emitter to use to emit events
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:param collection_model: The model of the collection
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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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collection_model.request.operation
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)
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underlying_operation_members = []
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if operation_model.input_shape:
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underlying_operation_members = operation_model.input_shape.members
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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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custom_action_info_dict = {
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'all': {
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'method_description': (
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f'Creates an iterable of all {collection_model.resource.type} '
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f'resources in the collection.'
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),
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'example_prefix': f'{xform_name(collection_model.resource.type)}_iterator = {example_resource_name}.{collection_model.name}.all',
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'exclude_input': underlying_operation_members,
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},
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'filter': {
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'method_description': (
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f'Creates an iterable of all {collection_model.resource.type} '
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f'resources in the collection filtered by kwargs passed to '
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f'method. A {collection_model.resource.type} collection will '
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f'include all resources by default if no filters are provided, '
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f'and extreme caution should be taken when performing actions '
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f'on all resources.'
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),
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'example_prefix': f'{xform_name(collection_model.resource.type)}_iterator = {example_resource_name}.{collection_model.name}.filter',
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'exclude_input': get_resource_ignore_params(
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collection_model.request.params
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),
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},
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'limit': {
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'method_description': (
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f'Creates an iterable up to a specified amount of '
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f'{collection_model.resource.type} resources in the collection.'
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),
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'example_prefix': f'{xform_name(collection_model.resource.type)}_iterator = {example_resource_name}.{collection_model.name}.limit',
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'include_input': [
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DocumentedShape(
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name='count',
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type_name='integer',
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documentation=(
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'The limit to the number of resources in the iterable.'
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),
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)
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],
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'exclude_input': underlying_operation_members,
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},
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'page_size': {
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'method_description': (
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f'Creates an iterable of all {collection_model.resource.type} '
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f'resources in the collection, but limits the number of '
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f'items returned by each service call by the specified amount.'
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),
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'example_prefix': f'{xform_name(collection_model.resource.type)}_iterator = {example_resource_name}.{collection_model.name}.page_size',
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'include_input': [
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DocumentedShape(
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name='count',
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type_name='integer',
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documentation=(
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'The number of items returned by each service call'
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),
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)
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],
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'exclude_input': underlying_operation_members,
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},
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}
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if action_name in custom_action_info_dict:
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action_info = custom_action_info_dict[action_name]
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document_model_driven_resource_method(
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section=section,
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method_name=action_name,
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operation_model=operation_model,
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event_emitter=event_emitter,
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resource_action_model=collection_model,
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include_signature=include_signature,
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**action_info,
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)
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