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توضیحات

Backend.AI Client SDK

ویژگی	مقدار
سیستم عامل	-
نام فایل	backend.ai-client-23.3.1
نام	backend.ai-client
نسخه کتابخانه	23.3.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Lablup Inc. and contributors
ایمیل نویسنده	-
آدرس صفحه اصلی	https://github.com/lablup/backend.ai
آدرس اینترنتی	https://pypi.org/project/backend.ai-client/
مجوز	MIT

Backend.AI Client ================= .. image:: https://badge.fury.io/py/backend.ai-client.svg :target: https://badge.fury.io/py/backend.ai-client :alt: PyPI version .. image:: https://img.shields.io/pypi/pyversions/backend.ai-client.svg :target: https://pypi.org/project/backend.ai-client/ :alt: Python Versions .. image:: https://readthedocs.org/projects/backendai-client-sdk-for-python/badge/?version=latest :target: https://client-py.docs.backend.ai/en/latest/?badge=latest :alt: SDK Documentation .. image:: https://travis-ci.com/lablup/backend.ai-client-py.svg?branch=master :target: https://travis-ci.com/lablup/backend.ai-client-py :alt: Build Status (Linux) .. image:: https://ci.appveyor.com/api/projects/status/5h6r1cmbx2965yn1/branch/master?svg=true :target: https://ci.appveyor.com/project/lablup/backend.ai-client-py/branch/master :alt: Build Status (Windows) .. image:: https://codecov.io/gh/lablup/backend.ai-client-py/branch/master/graph/badge.svg :target: https://codecov.io/gh/lablup/backend.ai-client-py :alt: Code Coverage The official client SDK for `Backend.AI <https://backend.ai>`_ Usage (KeyPair mode) -------------------- You should set the access key and secret key as environment variables to use the API. Grab your keypair from `cloud.backend.ai <https://cloud.backend.ai>`_ or your cluster admin. On Linux/macOS, create a shell script as ``my-backend-ai.sh`` and run it before using the ``backend.ai`` command: .. code-block:: sh export BACKEND_ACCESS_KEY=... export BACKEND_SECRET_KEY=... export BACKEND_ENDPOINT=https://my-precious-cluster export BACKEND_ENDPOINT_TYPE=api On Windows, create a batch file as ``my-backend-ai.bat`` and run it before using the ``backend.ai`` command: .. code-block:: bat chcp 65001 set PYTHONIOENCODING=UTF-8 set BACKEND_ACCESS_KEY=... set BACKEND_SECRET_KEY=... set BACKEND_ENDPOINT=https://my-precious-cluster set BACKEND_ENDPOINT_TYPE=api Note that you need to switch to the UTF-8 codepage for correct display of special characters used in the console logs. Usage (Session mode) -------------------- Change ``BACKEND_ENDPOINT_TYPE`` to "session" and set the endpoint to the URL of your console server. .. code-block:: sh export BACKEND_ENDPOINT=https://my-precious-cluster export BACKEND_ENDPOINT_TYPE=session .. code-block:: console $ backend.ai login User ID: myid@mydomain.com Password: ✔ Login succeeded! $ backend.ai ... # run any command $ backend.ai logout ✔ Logout done. The session expiration timeout is set by the console server. Command-line Interface ---------------------- ``backend.ai`` command is the entry point of all sub commands. (Alternatively you can use a verbosely long version: ``python -m ai.backend.client.cli``) Highlight: ``run`` command ~~~~~~~~~~~~~~~~~~~~~~~~~~ The ``run`` command execute a code snippet or code source files on a Backend.AI compute session created on-the-fly. To run the code specified in the command line directly, use ``-c`` option to pass the code string (like a shell). .. code-block:: console $ backend.ai run python:3.6-ubuntu18.04 -c "print('hello world')" ∙ Client session token: d3694dda6e5a9f1e5c718e07bba291a9 ✔ Kernel (ID: zuF1OzMIhFknyjUl7Apbvg) is ready. hello world By default, you need to specify language with full version tag like ``python:3.6-ubuntu18.04``. Depending on the Backend.AI admin's language alias settings, this can be shortened just as ``python``. If you want to know defined language aliases, contact the admin of Backend.AI server. For more complicated programs, you may upload multiple files and then build & execute them. The below is a simple example to run `a sample C program <https://gist.github.com/achimnol/df464c6a3fe05b21e9b06d5b80e986c5>`_. .. code-block:: console $ git clone https://gist.github.com/achimnol/df464c6a3fe05b21e9b06d5b80e986c5 c-example Cloning into 'c-example'... Unpacking objects: 100% (5/5), done. $ cd c-example $ backend.ai run gcc:gcc6.4-alpine3.8 main.c mylib.c mylib.h ∙ Client session token: 1c352a572bc751a81d1f812186093c47 ✔ Kernel (ID: kJ6CgWR7Tz3_v2WsDHOwLQ) is ready. ✔ Uploading done. ✔ Build finished. myvalue is 42 your name? LABLUP hello, LABLUP! Please refer the ``--help`` manual provided by the ``run`` command. Highlight: ``start`` and ``app`` command ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ``backend.ai start`` is simliar to the ``run`` command in that it creates a new compute session, but it does not execute anything there. You can subsequently call ``backend.ai run -t <sessionId> ...`` to execute codes snippets or use ``backend.ai app`` command to start a local proxy to a container service such as Jupyter which runs inside the compute session. .. code-block:: console $ backend.ai start -t mysess -r cpu=1 -r mem=2g lablup/python:3.6-ubuntu18.04 ∙ Session ID mysess is created and ready. ∙ This session provides the following app services: ipython, jupyter, jupyterlab $ backend.ai app mysess jupyter ∙ A local proxy to the application "jupyter" provided by the session "mysess" is available at: http://127.0.0.1:8080 Highlight: ``ps`` and ``rm`` command ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can see the list of currently running sessions using your API keypair. .. code-block:: console $ backend.ai ps Session ID Lang/runtime Tag Created At Terminated At Status CPU Cores CPU Used (ms) Total Memory (MiB) Used Memory (MiB) GPU Cores ------------ ------------------------ ----- -------------------------------- --------------- -------- ----------- --------------- -------------------- ------------------- ----------- 88ee10a027 lablup/python:3.6-ubuntu 2018-12-11T03:53:14.802206+00:00 RUNNING 1 16314 1024 39.2 0 fce7830826 lablup/python:3.6-ubuntu 2018-12-11T03:50:10.150740+00:00 RUNNING 1 15391 1024 39.2 0 If you set ``-t`` option in the ``run`` command, it will be used as the session ID—you may use it to assign a human-readable, easy-to-type alias for your sessions. These session IDs can be reused after the current session using the same ID terminates. To terminate a session, you can use ``terminate`` or ``rm`` command. .. code-block:: console $ backend.ai rm 5baafb2136029228ca9d873e1f2b4f6a ✔ Done. Highlight: ``proxy`` command ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ To use API development tools such as GraphiQL for the admin API, run an insecure local API proxy. This will attach all the necessary authorization headers to your vanilla HTTP API requests. .. code-block:: console $ backend.ai proxy ∙ Starting an insecure API proxy at http://localhost:8084 More commands? ~~~~~~~~~~~~~~ Please run ``backend.ai --help`` to see more commands. Troubleshooting (FAQ) --------------------- * There are error reports related to ``simplejson`` with Anaconda on Windows. This package no longer depends on simplejson since v1.0.5, so you may uninstall it safely since Python 3.5+ offers almost identical ``json`` module in the standard library. If you really need to keep the ``simplejson`` package, uninstall the existing simplejson package manually and try reinstallation of it by downloading `a pre-built binary wheel from here <https://www.lfd.uci.edu/%7Egohlke/pythonlibs/#simplejson>`_.

نیازمندی

مقدار	نام
~=3.8.1	aiohttp
~=0.1.4	aiotusclient
~=1.4.4	appdirs
~=4.0	async-timeout
>=20.3	attrs
==23.03.1	backend.ai-cli
==23.03.1	backend.ai-common
==23.03.1	backend.ai-plugin
>=7.1.2	click
~=13.12.0	faker
>=3.1.0	humanize
~=2.9.2	inquirer
~=1.0.0	janus
>=6.0	multidict
>=2.8	python-dateutil
~=0.20.0	python-dotenv
~=12.2	rich
~=0.8.9	tabulate
>=8.0	tenacity
>=4.61	tqdm
>=1.7	yarl

زبان مورد نیاز

مقدار	نام
>=3.11,<3.12	Python

نحوه نصب

نصب پکیج whl backend.ai-client-23.3.1:

pip install backend.ai-client-23.3.1.whl

نصب پکیج tar.gz backend.ai-client-23.3.1:

pip install backend.ai-client-23.3.1.tar.gz