Skip to main content

Библиотека для Analytic Workspace

Получение токена

Перейдите по ссылке https://aw.example.ru/data-master/get-token (вместо https://aw.example.ru/ укажите адрес вашего сервера Analytic Workspace).

Значение токена лучше всего сохранить в отдельном файл или поместить в переменную окружения AW_DATA_TOKEN.

Пример использования

from aw_client import Session


with open('aw_token', 'rt') as f:
    aw_token = f.read()

session = Session(token=aw_token, aw_url='https://aw.example.ru')

# Если токен доступа указан в переменной окружения AW_DATA_TOKEN, то объект сессии можно создавать 
# без явного указания параметра token: session = Session(aw_url='https://aw.example.ru')

df = session.load(model_id=123)  # df: pandas.DataFrame

display(df)

Metadata

Release files for analytic_workspace_client 1.32.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for analytic_workspace_client 1.32.0
File Size Uploaded Provenance
analytic_workspace_client-1.32.0.tar.gz 19.1 kB Without provenance Details

Release files / analytic_workspace_client-1.32.0.tar.gz

Download URL analytic_workspace_client-1.32.0.tar.gz
Size 19.1 kB
Tags Source
SHA-256 checksum
How to use checksums
94d97ec9939c4af7bd22c14e17cb14c8113113a330d0bd753b88a1259bc9e245
BLAKE2b-256 checksum
How to use checksums
fa73e2c6bc8b046101114c9e176333d945ba1638f78c2b1348f2170b01095335
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.12.9

Security for analytic_workspace_client 1.32.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page