معرفی شرکت ها
datalad-next-1.0.0b2
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
What is next in DataLad
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | datalad-next-1.0.0b2 |
| نام | datalad-next |
| نسخه کتابخانه | 1.0.0b2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | The DataLad Team and Contributors |
| ایمیل نویسنده | team@datalad.org |
| آدرس صفحه اصلی | https://github.com/datalad/datalad-next |
| آدرس اینترنتی | https://pypi.org/project/datalad-next/ |
| مجوز | MIT |
# DataLad NEXT extension
[](https://ci.appveyor.com/project/mih/datalad-next/branch/main)
[](https://codecov.io/github/datalad/datalad-next?branch=main)
[](https://github.com/datalad/datalad-next/actions?query=workflow%3Acrippled-filesystems)
[](https://github.com/datalad/datalad-next/actions?query=workflow%3Adocs)
[](http://docs.datalad.org/projects/next/en/latest/?badge=latest)
[](https://opensource.org/licenses/MIT)
[](https://GitHub.com/datalad/datalad-next/releases/)
[](https://pypi.python.org/pypi/datalad-next/)
[](https://doi.org/10.5281/zenodo.6833099)
This DataLad extension can be thought of as a staging area for additional
functionality, or for improved performance and user experience. Unlike other
topical or more experimental extensions, the focus here is on functionality
with broad applicability. This extension is a suitable dependency for other
software packages that intend to build on this improved set of functionality.
## Installation
```
# create and enter a new virtual environment (optional)
$ virtualenv --python=python3 ~/env/dl-next
$ . ~/env/dl-next/bin/activate
# install from PyPi
$ python -m pip install datalad-next
```
## How to use
Additional commands provided by this extension are immediately available
after installation. However, in order to fully benefit from all improvements,
the extension has to be enabled for auto-loading by executing:
git config --global --add datalad.extensions.load next
Doing so will enable the extension to also alter the behavior the core DataLad
package and its commands.
## Summary of functionality provided by this extension
- A replacement sub-system for credential handling that is able to handle arbitrary
properties for annotating a secret, and facilitates determining suitable
credentials while minimizing avoidable user interaction, without compromising
configurability.
- A user-facing `credentials` command to set, remove, and query credentials.
- The `create-sibling-...` commands for the platforms GitHub, GIN, GOGS, Gitea
are equipped with improved credential handling that, for example, only stores
entered credentials after they were confirmed to work, or auto-selects the
most recently used, matching credentials, when none are specified.
- A `create-sibling-webdav` command for hosting datasets on a WebDAV server via
a sibling tandem for Git history and file storage. Datasets hosted on WebDAV
in this fashion are cloneable with `datalad-clone`. A full annex setup
for storing complete datasets with historical file content version, and an
additional mode for depositing single-version dataset snapshot are supported.
The latter enables convenient collaboration with audiences that are not using
DataLad, because all files are browsable via a WebDAV server's point-and-click
user interface.
- Enhance `datalad-push` to automatically export files to git-annex special
remotes configured with `exporttree=yes`.
- Speed-up `datalad-push` when processing non-git special remotes. This particularly
benefits less efficient hosting scenarios like WebDAV.
- Enhance `datalad-siblings enable` (`AnnexRepo.enable_remote()` to automatically
deploy credentials for git-annex special remotes that require them.
- `git-remote-datalad-annex` is a Git remote helper to push/fetch to any
location accessible by any git-annex special remote.
- `git-annex-backend-XDLRA` (originally available from the `mihextras` extension)
is a custom external git-annex backend used by `git-remote-datalad-annex`. A base
class to facilitate development of external backends in Python is also provided.
- Enhance `datalad-configuration` to support getting configuration from "global"
scope without a dataset being present.
## Summary of additional features for DataLad extension development
- `serve_path_via_webdav` test decorator that automatically deploys a local WebDAV
server.
- `with_credential` test decorator that temporarily deploys a credential to the
local credential system.
- Utilities for HTTP handling
- `probe_url()` discovers redirects and authentication requirements for an HTTP
URL
- `get_auth_realm()` returns a label for an authentication realm that can be used
to query for matching credentials
- Utilities for special remote credential management:
- `get_specialremote_credential_properties()` inspects a special remote and returns
properties for querying a credential store for matching credentials
- `update_specialremote_credential()` updates a credential in a store after
successful use
- `get_specialremote_credential_envpatch()` returns a suitable environment "patch"
from a credential for a particular special remote type
## Acknowledgements
This DataLad extension was developed with funding from the Deutsche
Forschungsgemeinschaft (DFG, German Research Foundation) under grant SFB 1451
([431549029](https://gepris.dfg.de/gepris/projekt/431549029), INF project).
نیازمندی
| مقدار | نام |
|---|---|
| >=0.17.0 | datalad |
| - | www-authenticate |
| - | cheroot |
| - | coverage |
| - | pytest |
| - | pytest-cov |
| - | webdavclient3 |
| - | wsgidav |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl datalad-next-1.0.0b2:
pip install datalad-next-1.0.0b2.whl
نصب پکیج tar.gz datalad-next-1.0.0b2:
pip install datalad-next-1.0.0b2.tar.gz