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linux-wang / ks3-python-sdk

SDK for ksyun, Python version

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KS3 SDK for python使用指南

开发前准备

安装依赖模块

pip install six

安装python sdk

1、通过git下载SDK到本地

git clone https://github.com/ks3sdk/ks3-python-sdk.git

2、进入ks3-python-sdk目录

cd ks3-python-sdk

3、安装SDK

python setup.py install

初始化connection

from ks3.connection import Connection
ak = 'YOUR_ACCESS_KEY'
sk = 'YOUR_SECRET_KEY'
c = Connection(ak, sk, host='YOUR_REGION_ENDPOINT', is_secure=False, domain_mode=False)

常用参数说明

  • ak：金山云提供的ACCESS KEY ID
  • sk：金山云提供的SECRET KEY ID
  • host：金山云提供的各个Region的域名（例 ks3-cn-beijing.ksyun.com）,具体定义可参考 API接口文档-Region(区域)
  • is_secure：是否通过HTTPS协议访问Ks3，True:启用 False:关闭
  • domain_mode：是否使用自定义域名访问Ks3（host填写自定义域名），True:是 False:否

运行环境

适用于2.6、2.7的Python版本

SDK介绍及使用

资源管理操作

Service操作

List Buckets：

列出客户所有的 Bucket 信息

buckets = c.get_all_buckets()
for b in buckets:
    print b.name

Bucket操作

Create Bucket：

创建一个新的Bucket

在建立了连接后，可以创建一个bucket。bucket在s3中是一个用于储存key/value的容器。用户可以将所有的数据存储在一个bucket里，也可以为不同种类数据创建相应的bucket。

bucket_name = "YOUR_BUCKET_NAME"
b = c.create_bucket(bucket_name)

注：这里如果出现409 conflict错误，说明请求的bucket name有冲突，因为bucket name是全局唯一的

Delete Bucket:

删除指定Bucket

删除一个bucket可以通过delete_bucket方法实现。

c.delete_bucket(bucket_name)

如果bucket下面存在key，那么需要首先删除所有key

b = c.get_bucket(bucket_name)
for k in b.list():
    k.delete()
c.delete_bucket(bucket_name)

Get Bucket ACL:

获取Bucket的ACL

acp = b.get_acl()
>>> acp
<Policy: MTM1OTk4ODE= (owner) = FULL_CONTROL>
>>> acp.acl
<ks3.acl.ACL object at 0x23cf750>
>>> acp.acl.grants
[<ks3.acl.Grant object at 0xf63810>]
>>> for grant in acp.acl.grants:
...   print grant.permission, grant.display_name, grant.email_address, grant.id
...

Put Bucket ACL:

设置Bucket的ACL

#设置bucket的权限, private or public-read or public-read-write
b.set_acl("public-read")

Object操作

Head Object:

获取Object元信息

获取Object元数据信息（大小、最后更新时间等）

from ks3.connection import Connection

bucket_name = "YOUR_BUCKET_NAME"
key_name = "YOUR_KEY_NAME"
b = c.get_bucket(bucket_name)
try:
    k = b.get_key(key_name)
    if k:
    	print k.name, k.size, k.last_modified
    	#print k.__dict__
except:
	pass # 异常处理

Get Object：

下载该Object数据

下载object，并且作为字符串返回

from ks3.connection import Connection
 
bucket_name = "YOUR_BUCKET_NAME"
key_name = "YOUR_KEY_NAME"
b = c.get_bucket(bucket_name)
try:
    k = b.get_key(key_name)
    s = k.get_contents_as_string()
	print s
except:
    pass # 异常处理

下载object，并且保存到文件中

#保存到文件
k.get_contents_to_filename("/tmp/KS3SDK_download_test")
#保存到文件句柄
f=open("/tmp/test_file","rb")
k.get_contents_from_file(f)

Put Object

上传Object数据

将指定目录的文件上传，同时可以指定文件ACL

bucket_name = "YOUR_BUCKET_NAME"
key_name = "YOUR_KEY_NAME"
try: 
    b = c.get_bucket(bucket_name)
    k = b.new_key(key_name)
    #object policy : 'private' or 'public-read'
    ret=k.set_contents_from_filename("/root/KS3SDK_upload_test", policy="private")
    if ret and ret.status == 200:
    	print "上传成功"
 except:
 	pass #异常处理

将字符串所谓value上传

k.set_contents_from_string('This is a test of S3')

Delete Object

删除Object数据

try: 
	b=conn.get_bucket(YOUR_BUCKET_NAME)
	b.delete_key(YOUR_KEY_NAME)
except:
	pass #异常处理

List Objects

列举Bucket内的文件或者目录

from ks3.prefix import Prefix
from ks3.key import Key

b = c.get_bucket(bucket_name)
keys = b.list(delimiter='/')
for k in keys:
    if isinstance(k,Key):
        print 'file:%s' % k.name
    elif isinstance(k,Prefix):
        print 'dir:%s' % k.name

列举Bucket内指定前缀的文件

keys = b.list(prefix="PREFIX")

Get Object ACL

获得Object的acl

b = c.get_bucket(bucket_name)
policy = b.get_acl(key_name)
print policy.to_xml()

Put Object ACL

#object policy : 'private' or 'public-read'
b.set_acl("public-read", test_key)

Upload Part：

分块上传

如果你想上传一个大文件，你可以将它分成几个小份，逐个上传，s3会按照顺序把它们合成一个最终的object。整个过程需要几步来完成，下面的demo程序是通过python的FileChunkIO模块来实现的。所以可能需要首先运行pip install FileChunkIO来安装。

>>> import math, os
>>> from ks3.connection import Connection
>>> from filechunkio import FileChunkIO
 
# Connect to S3
>>> bucket_name = "YOUR_BUCKET_NAME"
>>> c = Connection(ak, sk)
>>> b = c.get_bucket(bucket_name)
 
# Get file info
>>> source_path = 'path/to/your/file.ext'
>>> source_size = os.stat(source_path).st_size
 
# Create a multipart upload request
>>> mp = b.initiate_multipart_upload(os.path.basename(source_path))
 
# Use a chunk size of 50 MiB (feel free to change this)
>>> chunk_size = 52428800
>>> chunk_count = int(math.ceil(source_size / chunk_size))
 
# Send the file parts, using FileChunkIO to create a file-like object
# that points to a certain byte range within the original file. We
# set bytes to never exceed the original file size.
>>> for i in range(chunk_count + 1):
>>>     offset = chunk_size * i
>>>     bytes = min(chunk_size, source_size - offset)
>>>     with FileChunkIO(source_path, 'r', offset=offset,
                         bytes=bytes) as fp:
>>>         mp.upload_part_from_file(fp, part_num=i + 1)
 
# Finish the upload
>>> mp.complete_upload()

获取已上传分块列表

bucket = conn.get_bucket(bucket_name)
for p in bucket.list_multipart_uploads():
	print 'uploadId:%s,key:%s' % (p.id, p.key_name)
	for i in p:
		print i.part_number, i.size, i.etag, i.last_modified

Generate URL

生成下载外链地址

对私密属性的文件生成下载外链（该链接具有时效性）

b = conn.get_bucket(bucket_name)
k = b.get_key(obj_key)
if k:
    url = k.generate_url(60) # 60s 后该链接过期
    print url

指定时间过期

k.generate_url(1492073594,expires_in_absolute=True) # 1492073594为Unix Time

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SDK for ksyun, Python version

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