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aiohttp-s3-client-0.7.1
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مشاهده بیشترتوضیحات
The simple module for putting and getting object from Amazon S3 compatible endpoints
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aiohttp-s3-client-0.7.1 |
| نام | aiohttp-s3-client |
| نسخه کتابخانه | 0.7.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Dmitry Orlov <me@mosquito.su>, Yuri Shikanov <dizballanze@gmail.com>, Alexander Vasin <hi@alvass.in> |
| ایمیل نویسنده | me@mosquito.su |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/aiohttp-s3-client/ |
| مجوز | Apache Software License |
aiohttp-s3-client
================
[](https://pypi.org/project/aiohttp-s3-client) [](https://pypi.org/project/aiohttp-s3-client) []() [](https://pypi.org/project/aiohttp-s3-client) [](https://pypi.org/project/aiohttp-s3-client) [](https://coveralls.io/github/mosquito/aiohttp-s3-client?branch=master) 
The simple module for putting and getting object from Amazon S3 compatible endpoints
## Installation
```bash
pip install aiohttp-s3-client
```
## Usage
```python
from http import HTTPStatus
from aiohttp import ClientSession
from aiohttp_s3_client import S3Client
async with ClientSession(raise_for_status=True) as session:
client = S3Client(
url="http://s3-url",
session=session,
access_key_id="key-id",
secret_access_key="hackme",
region="us-east-1"
)
# Upload str object to bucket "bucket" and key "str"
async with client.put("bucket/str", "hello, world") as resp:
assert resp.status == HTTPStatus.OK
# Upload bytes object to bucket "bucket" and key "bytes"
resp = await client.put("bucket/bytes", b"hello, world")
assert resp.status == HTTPStatus.OK
# Upload AsyncIterable to bucket "bucket" and key "iterable"
async def gen():
yield b'some bytes'
resp = await client.put("bucket/file", gen())
assert resp.status == HTTPStatus.OK
# Upload file to bucket "bucket" and key "file"
resp = await client.put_file("bucket/file", "/path_to_file")
assert resp.status == HTTPStatus.OK
# Check object exists using bucket+key
resp = await client.head("bucket/key")
assert resp == HTTPStatus.OK
# Get object by bucket+key
resp = await client.get("bucket/key")
data = await resp.read()
# Delete object using bucket+key
resp = await client.delete("bucket/key")
assert resp == HTTPStatus.NO_CONTENT
# List objects by prefix
async for result in client.list_objects_v2("bucket/", prefix="prefix"):
# Each result is a list of metadata objects representing an object
# stored in the bucket.
do_work(result)
```
Bucket may be specified as subdomain or in object name:
```python
client = S3Client(url="http://bucket.your-s3-host", ...)
resp = await client.put("key", gen())
client = S3Client(url="http://your-s3-host", ...)
resp = await client.put("bucket/key", gen())
client = S3Client(url="http://your-s3-host/bucket", ...)
resp = await client.put("key", gen())
```
Auth may be specified with keywords or in URL:
```python
client = S3Client(url="http://your-s3-host", access_key_id="key_id",
secret_access_key="access_key", ...)
client = S3Client(url="http://key_id:access_key@your-s3-host", ...)
```
## Multipart upload
For uploading large files [multipart uploading](https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html)
can be used. It allows you to asynchronously upload multiple parts of a file
to S3.
S3Client handles retries of part uploads and calculates part hash for integrity checks.
```python
client = S3Client()
await client.put_file_multipart(
"test/bigfile.csv",
headers={
"Content-Type": "text/csv",
},
workers_count=8,
)
```
## Parallel download to file
S3 supports `GET` requests with `Range` header. It's possible to download
objects in parallel with multiple connections for speedup.
S3Client handles retries of partial requests and makes sure that file won't
changed during download with `ETag` header.
If your system supports `pwrite` syscall (linux, macos, etc) it will be used to
write simultaneously to a single file. Otherwise, each worker will have own file
which will be concatenated after downloading.
```python
client = S3Client()
await client.get_file_parallel(
"dump/bigfile.csv",
"/home/user/bigfile.csv",
workers_count=8,
)
```
نیازمندی
| مقدار | نام |
|---|---|
| <17,>=14 | aiomisc |
| <4 | aiohttp |
| ==1.0.0 | aws-request-signer |
| !=4.3 | coverage |
| - | coveralls |
| - | mypy |
| - | pylava |
| - | pytest |
| - | pytest-aiohttp |
| - | pytest-cov |
| - | pytest-timeout |
| >=2.4 | tox |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >3.7.*, <4 | Python |
نحوه نصب
نصب پکیج whl aiohttp-s3-client-0.7.1:
pip install aiohttp-s3-client-0.7.1.whl
نصب پکیج tar.gz aiohttp-s3-client-0.7.1:
pip install aiohttp-s3-client-0.7.1.tar.gz