Returns the contents of a tracked file.
def read(path: str, repo: str = None, rev: str = None, remote: str = None, mode: str = "r", encoding: str = None)
import dvc.api modelpkl = dvc.api.read( 'model.pkl', repo='https://github.com/example/project.git', mode='rb')
This function wraps
dvc.api.open(), for a simple way to return the complete
contents of a file tracked in a DVC project. The file can be
tracked by DVC or by Git.
This is similar to the
dvc getcommand in our CLI.
The type returned depends on the
modeused. For more details, please refer to Python's
open()built-in, which is used under the hood.
path- location and file name of the file in
repo, relative to the project's root.
repo- specifies the location of the DVC project. It can be a URL or a file system path. Both HTTP and SSH protocols are supported for online Git repos (e.g.
[user@]server:project.git). Default: The current project is used (the current working directory tree is walked up to find it).
rev- Git commit (any revision such as a branch or tag name, or a commit hash). If
repois not a Git repo, this option is ignored. Default:
remote- name of the DVC remote to look for the target data. Default: The default remote of
repois used if a
remoteargument is not given. For local projects, the cache is tied before the default remote.
mode- specifies the mode in which the file is opened. Defaults to
"r"(read). Mirrors the namesake parameter in builtin
encoding- codec used to decode the file contents to a string. This should only be used in text mode. Defaults to
"utf-8". Mirrors the namesake parameter in builtin
dvc.exceptions.FileMissingError- file in
pathis missing from
pathcannot be found in
Any data artifact hosted online can be loaded directly in your Python code with this API. For example, let's say that you want to load and unserialize a binary model from a repo on GitHub:
import pickle import dvc.api model = pickle.loads( dvc.api.read( 'model.pkl', repo='https://github.com/example/project.git' mode='rb' ) )
'rb'mode here for compatibility with