CRUD

The CRUD methods are used to create, read, update and delete artifacts. There are two ways to use them. The first is through the SDK and the second is through the Project object. The syntax is the same for all CRUD methods. If you want to manage artifacts from the project, you can use the Project object and avoid to specify the project parameter. In this last case, you need to specify every parameter as keyword argument.

An artifact entity can be managed with the following methods.

Create:

new_artifact
log_artifact

Read:

get_artifact
get_artifact_versions
import_artifact
list_artifacts

Update:

update_artifact

Delete:

delete_artifact

Create

You can create an artifact with the new_artifact() or with log_artifact() method. The kwargs parameters are determined by the kind of the object, and are described in the kinds section. The kwargs parameters are the same for both new and log methods.

New

This function create a new entity and saves it into the backend.

`new_artifact`

Parameters:

Name	Type	Description	Default
`project`	`str`	Project name.	required
`name`	`str`	Object name.	required
`kind`	`str`	Kind the object.	required
`uuid`	`str`	ID of the object (UUID4, e.g. 40f25c4b-d26b-4221-b048-9527aff291e2).	`None`
`description`	`str`	Description of the object (human readable).	`None`
`labels`	`list[str]`	List of labels.	`None`
`embedded`	`bool`	Flag to determine if object spec must be embedded in project spec.	`True`
`path`	`str`	Object path on local file system or remote storage. It is also the destination path of upload() method.	`None`
`**kwargs`	`dict`	Spec keyword arguments.	`{}`

Returns:

Type	Description
`Artifact`	Object instance.

Examples:

>>> obj = new_artifact(project="my-project",
>>>                    name="my-artifact",
>>>                    kind="artifact",
>>>                    path="s3://my-bucket/my-key")

Log

This function create a new entity into the backend and also upload a local file into an artifact store (eg. S3).

`log_artifact`

Parameters:

Name	Type	Description	Default
`project`	`str`	Project name.	required
`name`	`str`	Object name.	required
`kind`	`str`	Kind the object.	required
`source`	`str`	Artifact location on local path.	required
`path`	`str`	Destination path of the artifact. If not provided, it's generated.	`None`
`**kwargs`	`dict`	New artifact spec parameters.	`{}`

Returns:

Type	Description
`Artifact`	Object instance.

Examples:

>>> obj = log_artifact(project="my-project",
>>>                    name="my-artifact",
>>>                    kind="artifact",
>>>                    source="./local-path")

Read

To read artifacts you can use the get_artifact(), get_artifact_versions(), list_artifacts() or import_artifact() functions.

Get

This function searches for a single artifact into the backend. If you want to collect an artifact from the backend using get_artifact(), you have two options:

The first one is to use the key parameter which has the pattern store://<project-name>/<entity-type>/<entity-kind>/<entity-name>:<entity-id>.
The second one is to use the entity name as identifier, the project name as project and the entity id as entity_id parameters. If you do not specify the entity id, you will get the latest version.

`get_artifact`

Parameters:

Name	Type	Description	Default
`identifier`	`str`	Entity key (store://...) or entity name.	required
`project`	`str`	Project name.	`None`
`entity_id`	`str`	Entity ID.	`None`
`**kwargs`	`dict`	Parameters to pass to the API call.	`{}`

Returns:

Type	Description
`Artifact`	Object instance.

Examples:

Using entity key:

>>> obj = get_artifact("store://my-artifact-key")

Using entity name:

>>> obj = get_artifact("my-artifact-name"
>>>                    project="my-project",
>>>                    entity_id="my-artifact-id")

Get versions

This function returns all the versions of an artifact from the backend.

`get_artifact_versions`

Parameters:

Name	Type	Description	Default
`identifier`	`str`	Entity key (store://...) or entity name.	required
`project`	`str`	Project name.	`None`
`**kwargs`	`dict`	Parameters to pass to the API call.	`{}`

Returns:

Type	Description
`list[Artifact]`	List of object instances.

Examples:

Using entity key:

>>> obj = get_artifact_versions("store://my-artifact-key")

Using entity name:

>>> obj = get_artifact_versions("my-artifact-name"
>>>                             project="my-project")

List

This function returns all the latest artifacts from the backend related to a project.

`list_artifacts`

Parameters:

Name	Type	Description	Default
`project`	`str`	Project name.	required
`**kwargs`	`dict`	Parameters to pass to the API call.	`{}`

Returns:

Type	Description
`list[Artifact]`	List of object instances.

Examples:

>>> objs = list_artifacts(project="my-project")

Import

This function load the artifact from a local yaml file descriptor.

`import_artifact`

Parameters:

Name	Type	Description	Default
`file`	`str`	Path to YAML file.	required

Returns:

Type	Description
`Artifact`	Object instance.

Examples:

>>> obj = import_artifact("my-artifact.yaml")

Update

To update an artifact you can use the update_artifact() method.

`update_artifact`

Parameters:

Name	Type	Description	Default
`entity`	`Artifact`	Object to update.	required

Returns:

Type	Description
`Artifact`	Entity updated.

Examples:

>>> obj = update_artifact(obj)

Delete

To delete an artifact you can use the delete_artifact() method.

`delete_artifact`

Parameters:

Name	Type	Description	Default
`identifier`	`str`	Entity key (store://...) or entity name.	required
`project`	`str`	Project name.	`None`
`entity_id`	`str`	Entity ID.	`None`
`delete_all_versions`	`bool`	Delete all versions of the named entity. If True, use entity name instead of entity key as identifier.	`False`
`**kwargs`	`dict`	Parameters to pass to the API call.	`{}`

Returns:

Type	Description
`dict`	Response from backend.

Examples:

If delete_all_versions is False:

>>> delete_artifact("store://my-artifact-key")

Otherwise:

>>> delete_artifact("my-artifact-name",
>>>                  project="my-project",
>>>                  delete_all_versions=True)