ai_v/venv/Lib/site-packages/boto3/examples/s3.rst
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

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List objects in an Amazon S3 bucket
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The following example shows how to use an Amazon S3 bucket resource to list
the objects in the bucket.
.. code-block:: python
import boto3
s3 = boto3.resource('s3')
bucket = s3.Bucket('amzn-s3-demo-bucket')
for obj in bucket.objects.all():
print(obj.key)
List top-level common prefixes in Amazon S3 bucket
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example shows how to list all of the top-level common prefixes in an
Amazon S3 bucket:
.. code-block:: python
import boto3
client = boto3.client('s3')
paginator = client.get_paginator('list_objects')
result = paginator.paginate(Bucket='amzn-s3-demo-bucket', Delimiter='/')
for prefix in result.search('CommonPrefixes'):
print(prefix.get('Prefix'))
Restore Glacier objects in an Amazon S3 bucket
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The following example shows how to initiate restoration of glacier objects in
an Amazon S3 bucket, determine if a restoration is on-going, and determine if a
restoration is finished.
.. code-block:: python
import boto3
s3 = boto3.resource('s3')
bucket = s3.Bucket('amzn-s3-demo-bucket')
for obj_sum in bucket.objects.all():
obj = s3.Object(obj_sum.bucket_name, obj_sum.key)
if obj.storage_class == 'GLACIER':
# Try to restore the object if the storage class is glacier and
# the object does not have a completed or ongoing restoration
# request.
if obj.restore is None:
print('Submitting restoration request: %s' % obj.key)
obj.restore_object(RestoreRequest={'Days': 1})
# Print out objects whose restoration is on-going
elif 'ongoing-request="true"' in obj.restore:
print('Restoration in-progress: %s' % obj.key)
# Print out objects whose restoration is complete
elif 'ongoing-request="false"' in obj.restore:
print('Restoration complete: %s' % obj.key)
Uploading/downloading files using SSE KMS
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example shows how to use SSE-KMS to upload objects using
server side encryption with a key managed by KMS.
We can either use the default KMS master key, or create a
custom key in AWS and use it to encrypt the object by passing in its
key id.
With KMS, nothing else needs to be provided for getting the
object; S3 already knows how to decrypt the object.
.. code-block:: python
import boto3
import os
BUCKET = 'amzn-s3-demo-bucket'
s3 = boto3.client('s3')
keyid = '<the key id>'
print("Uploading S3 object with SSE-KMS")
s3.put_object(Bucket=BUCKET,
Key='encrypt-key',
Body=b'foobar',
ServerSideEncryption='aws:kms',
# Optional: SSEKMSKeyId
SSEKMSKeyId=keyid)
print("Done")
# Getting the object:
print("Getting S3 object...")
response = s3.get_object(Bucket=BUCKET,
Key='encrypt-key')
print("Done, response body:")
print(response['Body'].read())
Uploading/downloading files using SSE Customer Keys
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example shows how to use SSE-C to upload objects using
server side encryption with a customer provided key.
First, we'll need a 32 byte key. For this example, we'll
randomly generate a key but you can use any 32 byte key
you want. Remember, you must the same key to download
the object. If you lose the encryption key, you lose
the object.
Also note how we don't have to provide the SSECustomerKeyMD5.
Boto3 will automatically compute this value for us.
.. code-block:: python
import boto3
import os
BUCKET = 'amzn-s3-demo-bucket'
KEY = os.urandom(32)
s3 = boto3.client('s3')
print("Uploading S3 object with SSE-C")
s3.put_object(Bucket=BUCKET,
Key='encrypt-key',
Body=b'foobar',
SSECustomerKey=KEY,
SSECustomerAlgorithm='AES256')
print("Done")
# Getting the object:
print("Getting S3 object...")
# Note how we're using the same ``KEY`` we
# created earlier.
response = s3.get_object(Bucket=BUCKET,
Key='encrypt-key',
SSECustomerKey=KEY,
SSECustomerAlgorithm='AES256')
print("Done, response body:")
print(response['Body'].read())
Downloading a specific version of an S3 object
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example shows how to download a specific version of an
S3 object.
.. code-block:: python
import boto3
s3 = boto3.client('s3')
s3.download_file(
"amzn-s3-demo-bucket", "key-name", "tmp.txt",
ExtraArgs={"VersionId": "my-version-id"}
)
Filter objects by last modified time using JMESPath
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
This example shows how to filter objects by last modified time
using JMESPath.
.. code-block:: python
import boto3
s3 = boto3.client("s3")
s3_paginator = s3.get_paginator('list_objects_v2')
s3_iterator = s3_paginator.paginate(Bucket='amzn-s3-demo-bucket')
filtered_iterator = s3_iterator.search(
"Contents[?to_string(LastModified)>='\"2022-01-05 08:05:37+00:00\"'].Key"
)
for key_data in filtered_iterator:
print(key_data)