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如何使用 url 访问 Python 中的 s3 文件?

[英]How can I access s3 files in Python using urls?

I want to write a Python script that will read and write files from s3 using their url's, eg:'s3:/mybucket/file'.我想编写一个 Python 脚本,该脚本将使用 s3 的 url 读取和写入文件,例如:'s3:/mybucket/file'。 It would need to run locally and in the cloud without any code changes.它需要在本地和云端运行,无需任何代码更改。 Is there a way to do this?有没有办法做到这一点?

Edit: There are some good suggestions here but what I really want is something that allows me to do this:编辑:这里有一些很好的建议,但我真正想要的是允许我这样做的东西:

 myfile = open("s3://mybucket/file", "r")

and then use that file object like any other file object.然后像使用任何其他文件对象一样使用该文件对象。 That would be really cool.那真的很酷。 I might just write something like this for myself if it doesn't exist.如果它不存在,我可能只是为自己写这样的东西。 I could build that abstraction layer on simples3 or boto.我可以在 simples3 或 boto 上构建抽象层。

For opening, it should be as simple as:对于打开,它应该像这样简单:

import urllib
opener = urllib.URLopener()
myurl = "https://s3.amazonaws.com/skyl/fake.xyz"
myfile = opener.open(myurl)

This will work with s3 if the file is public.如果文件是公开的,这将适用于 s3。

To write a file using boto, it goes a little something like this:要使用 boto 编写文件,它有点像这样:

from boto.s3.connection import S3Connection
conn = S3Connection(AWS_KEY, AWS_SECRET)
bucket = conn.get_bucket(BUCKET)
destination = bucket.new_key()
destination.name = filename
destination.set_contents_from_file(myfile)
destination.make_public()

lemme know if this works for you :)让我知道这是否适合你:)

Here's how they do it in awscli : 以下是他们awscli中的做法

def find_bucket_key(s3_path):
    """
    This is a helper function that given an s3 path such that the path is of
    the form: bucket/key
    It will return the bucket and the key represented by the s3 path
    """
    s3_components = s3_path.split('/')
    bucket = s3_components[0]
    s3_key = ""
    if len(s3_components) > 1:
        s3_key = '/'.join(s3_components[1:])
    return bucket, s3_key


def split_s3_bucket_key(s3_path):
    """Split s3 path into bucket and key prefix.
    This will also handle the s3:// prefix.
    :return: Tuple of ('bucketname', 'keyname')
    """
    if s3_path.startswith('s3://'):
        s3_path = s3_path[5:]
    return find_bucket_key(s3_path)

Which you could just use with code like this您可以将其与这样的代码一起使用

from awscli.customizations.s3.utils import split_s3_bucket_key
import boto3
client = boto3.client('s3')
bucket_name, key_name = split_s3_bucket_key(
    's3://example-bucket-name/path/to/example.txt')
response = client.get_object(Bucket=bucket_name, Key=key_name)

This doesn't address the goal of interacting with an s3 key as a file like object but it's a step in that direction.这并没有解决将 s3 密钥作为类似文件的对象进行交互的目标,但这是朝着这个方向迈出的一步。

I haven't seen something that would work directly with S3 urls, but you could use an S3 access library ( simples3 looks decent) and some simple string manipulation:我还没有看到可以直接使用 S3 url 的东西,但是您可以使用S3 访问库simples3看起来不错)和一些简单的字符串操作:

>>> url = "s3:/bucket/path/"
>>> _, path = url.split(":", 1)
>>> path = path.lstrip("/")
>>> bucket, path = path.split("/", 1)
>>> print bucket
'bucket'
>>> print path
'path/'

Try s3fs试试s3fs

First example on the docs:文档上的第一个示例:

>>> import s3fs
>>> fs = s3fs.S3FileSystem(anon=True)
>>> fs.ls('my-bucket')
['my-file.txt']
>>> with fs.open('my-bucket/my-file.txt', 'rb') as f:
...     print(f.read())
b'Hello, world'

You can use Boto Python API for accessing S3 by python.您可以使用Boto Python API通过 python 访问 S3。 Its a good library.它是一个很好的图书馆。 After you do the installation of Boto, following sample programe will work for you安装 Boto 后,以下示例程序将为您工作

>>> k = Key(b)
>>> k.key = 'yourfile'
>>> k.set_contents_from_filename('yourfile.txt')

You can find more information here http://boto.cloudhackers.com/s3_tut.html#storing-data您可以在此处找到更多信息http://boto.cloudhackers.com/s3_tut.html#storing-data

http://s3tools.org/s3cmd works pretty well and support the s3:// form of the URL structure you want. http://s3tools.org/s3cmd运行良好,并支持您想要的 URL 结构的 s3:// 形式。 It does the business on Linux and Windows.它在 Linux 和 Windows 上开展业务。 If you need a native API to call from within a python program then http://code.google.com/p/boto/ is a better choice.如果您需要从 Python 程序中调用本机 API,那么http://code.google.com/p/boto/是更好的选择。

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