Christoph BerganskiandChristoph Berganski 2f48bb4089 tree,remote: add support for WebDAV (#4256)
* tree,remote: add support for webdav

Webdav support is based on https://pypi.org/project/webdavclient3/ and
supports basic download/upload operation, directory creation as well as
existence, file hash and isdir query. Copy, move and remove are also
implemented, though probably not used yet.

WebdavURLInfo is taken from https://github.com/shizacat/dvc/tree/remote-webdav

Fixes iterative#1153

* tree,remote: add further webdavclient3 options

Webdav token auth, certificate and key path and connection timeout are
configurable. Webdav username might be specified or extracted from URL.

Refs iterative#1153

* tree,remote: validate webdav client configuration

Refs iterative#1153

* tree,remote: WebDAV is written with capitalized 'DAV'...

Refs iterative#1153

* tree,remote: terminate WebDAV makedirs at self.path_info.path

This enables the WebDAV api location (e.g. '/public.php/webdav') to be
part of the remote 'url' configuration instead of beeing specified
separately via the 'root' option. The 'root' option may then be used to
specify real directories at the WebDAV storage, although using it to
set the api location is still possible.

Refs iterative#1153

* tree,remote: use >=3.14.5 for WebDAV dependency webdavclient3

Context: https://github.com/iterative/dvc/pull/4256#discussion_r458490609

Refs iterative#1153

* tree,remote: get rid of WebDAV 'root' option and add connection check

The WebDAV 'root' option was rather confusing and should be handled by
the initial 'path_info' from the config 'url' option.

Context: https://github.com/iterative/dvc/pull/4256#discussion_r458754500

While stripping the path/root from the hostname the port got lost, which
is fixed now by simply using the URLInfo 'replace' method as suggested.

Context: https://github.com/iterative/dvc/pull/4256#discussion_r458842853

The WebDAV client connection is tested by probing the existence of the
root (self.path_info.path).

Refs iterative#1153

* tree,remote: implement walk_files for WebDAV

Context: https://github.com/iterative/dvc/pull/4256#discussion_r458751391

Refs: iterative#1153

* tree,remote: let WebDAV client list query file info in walk_files

Context: https://github.com/iterative/dvc/pull/4256#discussion_r458751391

Refs iterative#1153

* tree,remote: add some unit tests for WebDAVTree

Refs iterative#1153

* tree,remote: use ConfigError for WebDAVTree and move Error to webdav.py

Context: https://github.com/iterative/dvc/pull/4256#discussion_r460591937

Refs iterative#1153

* tree,remote: remove/change some (unnecessary) comments

Context: https://github.com/iterative/dvc/pull/4256#discussion_r460592181

* tree,remote: uploading to WebDAV only create directories if not exist

* tree,remote: add BaseTree parameter use_dvcignore to WebDAVTree exists

Refs iterative/#1153

* tree,remote: remove WebDAVTree copy method as proposed

Context: https://github.com/iterative/dvc/pull/4256#discussion_r460892725

Refs iterative#1153

* tree,remote: add progress bar to WebDAV _download and _upload method

Context: https://github.com/iterative/dvc/pull/4256#discussion_r460593130

Refs iterative#1153

Co-authored-by: Christoph Berganski <[email protected]>
2020-07-29 23:58:41 +03:00
2020-07-17 05:41:11 +03:00
2018-01-08 12:19:34 +02:00
2020-06-19 04:54:20 +03:00
2018-12-26 23:00:33 +02:00
2018-08-14 03:45:34 +03:00
2020-02-12 22:10:48 +02:00
2019-08-14 01:11:17 +01:00
2019-01-31 16:51:01 -08:00
2017-03-04 00:16:33 -08:00
2020-07-14 12:52:46 +03:00

|Banner|

`Website <https://dvc.org>`_
• `Docs <https://dvc.org/doc>`_
• `Blog <http://blog.dataversioncontrol.com>`_
• `Twitter <https://twitter.com/DVCorg>`_
• `Chat (Community & Support) <https://dvc.org/chat>`_
• `Tutorial <https://dvc.org/doc/get-started>`_
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|Release| |CI| |Maintainability| |Coverage| |Donate| |DOI|

|PyPI| |Packages| |Brew| |Conda| |Choco| |Snap|

|

**Data Version Control** or **DVC** is an **open-source** tool for data science and machine
learning projects. Key features:

#. Simple **command line** Git-like experience. Does not require installing and maintaining
   any databases. Does not depend on any proprietary online services.

#. Management and versioning of **datasets** and **machine learning models**. Data is saved in
   S3, Google cloud, Azure, Alibaba cloud, SSH server, HDFS, or even local HDD RAID.

#. Makes projects **reproducible** and **shareable**; helping to answer questions about how
   a model was built.

#. Helps manage experiments with Git tags/branches and **metrics** tracking.

**DVC** aims to replace spreadsheet and document sharing tools (such as Excel or Google Docs)
which are being used frequently as both knowledge repositories and team ledgers.
DVC also replaces both ad-hoc scripts to track, move, and deploy different model versions;
as well as ad-hoc data file suffixes and prefixes.

.. contents:: **Contents**
  :backlinks: none

How DVC works
=============

We encourage you to read our `Get Started <https://dvc.org/doc/get-started>`_ guide to better understand what DVC
is and how it can fit your scenarios.

The easiest (but not perfect!) *analogy* to describe it: DVC is Git (or Git-LFS to be precise) & Makefiles
made right and tailored specifically for ML and Data Science scenarios.

#. ``Git/Git-LFS`` part - DVC helps store and share data artifacts and models, connecting them with a Git repository.
#. ``Makefile``\ s part - DVC describes how one data or model artifact was built from other data and code.

DVC usually runs along with Git. Git is used as usual to store and version code (including DVC meta-files). DVC helps
to store data and model files seamlessly out of Git, while preserving almost the same user experience as if they
were stored in Git itself. To store and share the data cache, DVC supports multiple remotes - any cloud (S3, Azure,
Google Cloud, etc) or any on-premise network storage (via SSH, for example).

|Flowchart|

The DVC pipelines (computational graph) feature connects code and data together. It is possible to explicitly
specify all steps required to produce a model: input dependencies including data, commands to run,
and output information to be saved. See the quick start section below or
the `Get Started <https://dvc.org/doc/get-started>`_ tutorial to learn more.

Quick start
===========

Please read `Get Started <https://dvc.org/doc/get-started>`_ guide for a full version. Common workflow commands include:

+-----------------------------------+-------------------------------------------------------------------+
| Step                              | Command                                                           |
+===================================+===================================================================+
| Track data                        | | ``$ git add train.py``                                          |
|                                   | | ``$ dvc add images.zip``                                        |
+-----------------------------------+-------------------------------------------------------------------+
| Connect code and data by commands | | ``$ dvc run -d images.zip -o images/ unzip -q images.zip``      |
|                                   | | ``$ dvc run -d images/ -d train.py -o model.p python train.py`` |
+-----------------------------------+-------------------------------------------------------------------+
| Make changes and reproduce        | | ``$ vi train.py``                                               |
|                                   | | ``$ dvc repro model.p.dvc``                                     |
+-----------------------------------+-------------------------------------------------------------------+
| Share code                        | | ``$ git add .``                                                 |
|                                   | | ``$ git commit -m 'The baseline model'``                        |
|                                   | | ``$ git push``                                                  |
+-----------------------------------+-------------------------------------------------------------------+
| Share data and ML models          | | ``$ dvc remote add myremote -d s3://mybucket/image_cnn``        |
|                                   | | ``$ dvc push``                                                  |
+-----------------------------------+-------------------------------------------------------------------+

Installation
============

There are four options to install DVC: ``pip``, Homebrew, Conda (Anaconda) or an OS-specific package.
Full instructions are `available here <https://dvc.org/doc/get-started/install>`_.

Snap (Snapcraft/Linux)
----------------------

|Snap|

.. code-block:: bash

   snap install dvc --classic

This corresponds to the latest tagged release.
Add ``--beta`` for the latest tagged release candidate,
or ``--edge`` for the latest ``master`` version.

Choco (Chocolatey/Windows)
--------------------------

|Choco|

.. code-block:: bash

   choco install dvc

Brew (Homebrew/Mac OS)
----------------------

|Brew|

.. code-block:: bash

   brew install dvc

Conda (Anaconda)
----------------

|Conda|

.. code-block:: bash

   conda install -c conda-forge dvc

pip (PyPI)
----------

|PyPI|

.. code-block:: bash

   pip install dvc

Depending on the remote storage type you plan to use to keep and share your data, you might need to specify
one of the optional dependencies: ``s3``, ``gs``, ``azure``, ``oss``, ``ssh``. Or ``all`` to include them all.
The command should look like this: ``pip install dvc[s3]`` (in this case AWS S3 dependencies such as ``boto3``
will be installed automatically).

To install the development version, run:

.. code-block:: bash

   pip install git+git://github.com/iterative/dvc

Package
-------

|Packages|

Self-contained packages for Linux, Windows, and Mac are available. The latest version of the packages
can be found on the GitHub `releases page <https://github.com/iterative/dvc/releases>`_.

Ubuntu / Debian (deb)
^^^^^^^^^^^^^^^^^^^^^
.. code-block:: bash

   sudo wget https://dvc.org/deb/dvc.list -O /etc/apt/sources.list.d/dvc.list
   sudo apt-get update
   sudo apt-get install dvc

Fedora / CentOS (rpm)
^^^^^^^^^^^^^^^^^^^^^
.. code-block:: bash

   sudo wget https://dvc.org/rpm/dvc.repo -O /etc/yum.repos.d/dvc.repo
   sudo yum update
   sudo yum install dvc

Comparison to related technologies
==================================

#. `Git-annex <https://git-annex.branchable.com/>`_ - DVC uses the idea of storing the content of large files (which should
   not be in a Git repository) in a local key-value store, and uses file hardlinks/symlinks instead of
   copying/duplicating files.

#. `Git-LFS <https://git-lfs.github.com/>`_ - DVC is compatible with any remote storage (S3, Google Cloud, Azure, SSH,
   etc). DVC also uses reflinks or hardlinks to avoid copy operations on checkouts; thus handling large data files
   much more efficiently.

#. *Makefile* (and analogues including ad-hoc scripts) - DVC tracks dependencies (in a directed acyclic graph).

#. `Workflow Management Systems <https://en.wikipedia.org/wiki/Workflow_management_system>`_ - DVC is a workflow
   management system designed specifically to manage machine learning experiments. DVC is built on top of Git.

#. `DAGsHub <https://dagshub.com/>`_ - This is a Github equivalent for DVC. Pushing Git+DVC based repositories to DAGsHub will produce in a high level project dashboard; including DVC pipelines and metrics visualizations, as well as links to any DVC-managed files present in cloud storage.

Contributing
============

|Maintainability| |Donate|

Contributions are welcome! Please see our `Contributing Guide <https://dvc.org/doc/user-guide/contributing/core>`_ for more
details.

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   :alt: 7

Mailing List
============

Want to stay up to date? Want to help improve DVC by participating in our occasional polls? Subscribe to our `mailing list <https://sweedom.us10.list-manage.com/subscribe/post?u=a08bf93caae4063c4e6a351f6&id=24c0ecc49a>`_. No spam, really low traffic.

Copyright
=========

This project is distributed under the Apache license version 2.0 (see the LICENSE file in the project root).

By submitting a pull request to this project, you agree to license your contribution under the Apache license version
2.0 to this project.

Citation
========

|DOI|

Iterative, *DVC: Data Version Control - Git for Data & Models* (2020)
`DOI:10.5281/zenodo.012345 <https://doi.org/10.5281/zenodo.3677553>`_.

.. |Banner| image:: https://dvc.org/img/logo-github-readme.png
   :target: https://dvc.org
   :alt: DVC logo

.. |Release| image:: https://img.shields.io/badge/release-ok-brightgreen
   :target: https://travis-ci.com/iterative/dvc/branches
   :alt: Release

.. |CI| image:: https://img.shields.io/travis/com/iterative/dvc/master?label=dev&logo=travis
   :target: https://travis-ci.com/iterative/dvc/builds
   :alt: Travis dev branch

.. |Maintainability| image:: https://codeclimate.com/github/iterative/dvc/badges/gpa.svg
   :target: https://codeclimate.com/github/iterative/dvc
   :alt: Code Climate

.. |Coverage| image:: https://codecov.io/gh/iterative/dvc/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/iterative/dvc
   :alt: Codecov

.. |Donate| image:: https://img.shields.io/badge/patreon-donate-green.svg?logo=patreon
   :target: https://www.patreon.com/DVCorg/overview
   :alt: Donate

.. |Snap| image:: https://img.shields.io/badge/snap-install-82BEA0.svg?logo=snapcraft
   :target: https://snapcraft.io/dvc
   :alt: Snapcraft

.. |Choco| image:: https://img.shields.io/chocolatey/v/dvc?label=choco
   :target: https://chocolatey.org/packages/dvc
   :alt: Chocolatey

.. |Brew| image:: https://img.shields.io/homebrew/v/dvc?label=brew
   :target: https://formulae.brew.sh/formula/dvc
   :alt: Homebrew

.. |Conda| image:: https://img.shields.io/conda/v/conda-forge/dvc.svg?label=conda&logo=conda-forge
   :target: https://anaconda.org/conda-forge/dvc
   :alt: Conda-forge

.. |PyPI| image:: https://img.shields.io/pypi/v/dvc.svg?label=pip&logo=PyPI&logoColor=white
   :target: https://pypi.org/project/dvc
   :alt: PyPI

.. |Packages| image:: https://img.shields.io/github/v/release/iterative/dvc?label=deb|pkg|rpm|exe&logo=GitHub
   :target: https://github.com/iterative/dvc/releases/latest
   :alt: deb|pkg|rpm|exe

.. |DOI| image:: https://img.shields.io/badge/DOI-10.5281/zenodo.3677553-blue.svg
   :target: https://doi.org/10.5281/zenodo.3677553
   :alt: DOI

.. |Flowchart| image:: https://dvc.org/img/flow.gif
   :target: https://dvc.org/img/flow.gif
   :alt: how_dvc_works
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