我想从已激活加速的S3存储桶将文件下载到Python文件对象中。我找到了一些资源，建议是否覆盖endpoint_url到＆＃34; s3-accelerate.amazonaws.com＆＃34;和/或使用use_accelerate_endpoint属性。
我已尝试过两种变体，但每次都会返回相同的错误。我试过的一个脚本是：
from botocore.config import Config
import boto3
from io import BytesIO
session = boto3.session.Session()
s3 = session.client(
service_name='s3',
aws_access_key_id=<MY_KEY_ID>,
aws_secret_access_key=<MY_KEY>,
region_name="us-west-2",
config=Config(s3={"use_accelerate_endpoint": True,
"addressing_style": "path"}))
input = BytesIO()
s3.download_fileobj(<MY_BUCKET>,<MY_KEY>, input)
返回以下错误：
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
<ipython-input-61-92b89b45f215> in <module>()
11 "addressing_style": "path"}))
12 input = BytesIO()
---> 13 s3.download_fileobj(bucket, filename, input)
14
15
~/Project/venv/lib/python3.5/site-packages/boto3/s3/inject.py in download_fileobj(self, Bucket, Key, Fileobj, ExtraArgs, Callback, Config)
568 bucket=Bucket, key=Key, fileobj=Fileobj,
569 extra_args=ExtraArgs, subscribers=subscribers)
--> 570 return future.result()
571
572
~/Project//venv/lib/python3.5/site-packages/s3transfer/futures.py in result(self)
71 # however if a KeyboardInterrupt is raised we want want to exit
72 # out of this and propogate the exception.
---> 73 return self._coordinator.result()
74 except KeyboardInterrupt as e:
75 self.cancel()
~/Project/venv/lib/python3.5/site-packages/s3transfer/futures.py in result(self)
231 # final result.
232 if self._exception:
--> 233 raise self._exception
234 return self._result
235
~/Project/venv/lib/python3.5/site-packages/s3transfer/tasks.py in _main(self, transfer_future, **kwargs)
253 # Call the submit method to start submitting tasks to execute the
254 # transfer.
--> 255 self._submit(transfer_future=transfer_future, **kwargs)
256 except BaseException as e:
257 # If there was an exception raised during the submission of task
~/Project/venv/lib/python3.5/site-packages/s3transfer/download.py in _submit(self, client, config, osutil, request_executor, io_executor, transfer_future)
347 Bucket=transfer_future.meta.call_args.bucket,
348 Key=transfer_future.meta.call_args.key,
--> 349 **transfer_future.meta.call_args.extra_args
350 )
351 transfer_future.meta.provide_transfer_size(
~/Project/venv/lib/python3.5/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)
310 "%s() only accepts keyword arguments." % py_operation_name)
311 # The "self" in this scope is referring to the BaseClient.
--> 312 return self._make_api_call(operation_name, kwargs)
313
314 _api_call.__name__ = str(py_operation_name)
~/Project/venv/lib/python3.5/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params)
603 error_code = parsed_response.get("Error", {}).get("Code")
604 error_class = self.exceptions.from_code(error_code)
--> 605 raise error_class(parsed_response, operation_name)
606 else:
607 return parsed_response
ClientError: An error occurred (403) when calling the HeadObject operation: Forbidden
当我使用"use_accelerate_endpoint": False运行相同的脚本时，它可以正常工作。
但是，它在以下情况下返回了相同的错误：
endpoint_url＆＃34; "addressing_style": "virtual" 跑步时
s3.get_bucket_accelerate_configuration(Bucket=<MY_BUCKET>)
我按预期得到{..., 'Status': 'Enabled'}。
知道该代码有什么问题以及我应该更改什么以正确查询该存储桶的加速端点？
在Ubuntu 17.04上使用python3.5和boto3 == 1.4.7，botocore == 1.7.43。
编辑： 我也尝试过类似的上传脚本：
from botocore.config import Config
import boto3
from io import BytesIO
session = boto3.session.Session()
s3 = session.client(
service_name='s3',
aws_access_key_id=<MY_KEY_ID>,
aws_secret_access_key=<MY_KEY>,
region_name="us-west-2",
config=Config(s3={"use_accelerate_endpoint": True,
"addressing_style": "virtual"}))
output = BytesIO()
output.seek(0)
s3.upload_fileobj(output, <MY_BUCKET>,<MY_KEY>)
哪个没有use_accelerate_endpoint选项（所以我的键很好），但在True时返回此错误：
ClientError: An error occurred (SignatureDoesNotMatch) when calling the PutObject operation: The request signature we calculated does not match the signature you provided. Check your key and signing method.
我在这里同时尝试了两个addressing_style选项（虚拟和路径）
答案 0 :(得分：0)
使用boto3==1.4.7和botocore==1.7.43。
这是在启用传输加速的情况下从存储桶中检索对象的一种方法。
import boto3
from botocore.config import Config
from io import BytesIO
config = Config(s3={"use_accelerate_endpoint": True})
s3_resource = boto3.resource("s3",
aws_access_key_id=<MY_KEY_ID>,
aws_secret_access_key=<MY_KEY>,
region_name="us-west-2",
config=config)
s3_client = s3_resource.meta.client
file_object = BytesIO()
s3_client.download_fileobj(<MY_BUCKET>, <MY_KEY>, file_object)
请注意：客户端在HEAD之前向加速端点发送GET请求。
其规范请求如下所示：
CanonicalRequest:
HEAD
/<MY_KEY>
host:<MY_BUCKET>.s3-accelerate.amazonaws.com
x-amz-content-sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
x-amz-date:20200520T204128Z
host;x-amz-content-sha256;x-amz-date
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
HEAD请求失败的某些原因包括：