module artifact.py

function calculate_artifact_size

Tells about the size of the artifact

Args:

• artifact_dir (str): directory in which artifact is there.

Returns:
total size of the artifact

class ArtifactPath

ArtifactPath(src, dest)

class ArtifactVersion

property artifact_fqn

Get fqn of the artifact

property created_at

Get the time at which artifact was created

property created_by

Get the information about who created the artifact

property description

Get description of the artifact

property fqn

Get fqn of the current artifact version

property metadata

Get metadata for the current artifact

property name

Get the name of the artifact

property step

Get the step in which artifact was created

property updated_at

Get the information about the when the artifact was updated

property version

Get version information of the artifact

function delete

Deletes the current instance of the ArtifactVersion hence deleting the current version.

Returns:
True if artifact was deleted successfully

Examples:

import mlfoundry

client = mlfoundry.get_client()
artifact_version = client.get_artifact_version_by_fqn(fqn="<your-artifact-fqn>")
artifact_version.delete()
    

function download

Download an artifact file or directory to a local directory if applicable, and return a local path for it.

Args:

• path (str): Absolute path of the local filesystem destination directory to which to download the specified artifacts. This directory must already exist. If unspecified, the artifacts will either be downloaded to a new uniquely-named directory on the local filesystem or will be returned directly in the case of the Local ArtifactRepository.
• overwrite (bool): If True it will overwrite the file if it is already present in the download directory else it will throw an error

Returns:

• path: Absolute path of the local filesystem location containing the desired artifacts.

Examples:

import mlfoundry

client = mlfoundry.get_client()
artifact_version = client.get_artifact_version_by_fqn(fqn="<your-artifact-fqn>")
artifact_version.download(path="<your-desired-download-path>")
    

classmethod from_fqn

Get the version of a Artifact to download contents or load them in memory

Args:

• fqn (str): Fully qualified name of the artifact version.

Returns:

• ArtifactVersion: An ArtifactVersion instance of the artifact

Examples:

import mlfoundry

client = mlfoundry.get_client()
artifact_version = mlfoundry.ArtifactVersion.from_fqn(fqn="<artifact-fqn>")
    

function raw_download

Download an artifact file or directory to a local directory if applicable, and return a local path for it.

Args:

• path (str): Absolute path of the local filesystem destination directory to which to download the specified artifacts. This directory must already exist. If unspecified, the artifacts will either be downloaded to a new uniquely-named directory on the local filesystem or will be returned directly in the case of the Local ArtifactRepository.
• overwrite (bool): If True it will overwrite the file if it is already present in the download directory else it will throw an error

Returns:

• path: Absolute path of the local filesystem location containing the desired artifacts.

Examples:

import mlfoundry

client = mlfoundry.get_client()
artifact_version = client.get_artifact_version_by_fqn(fqn="<your-artifact-fqn>")
artifact_version.raw_download(path="<your-desired-download-path>")
    

function update

Updates the current instance of the ArtifactVersion hence updating the current version.

Examples:

import mlfoundry

client = mlfoundry.get_client()
artifact_version = client.get_artifact_version_by_fqn(fqn="<your-artifact-fqn>")
artifact_version.description = 'This is the new description'
artifact_version.update()