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CRUD

The CRUD methods are used to create, read, update and delete workflows. 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 workflows 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. In any case, you need to first import the SDK and instantiate a Project object that will be the context in which you can manage entities.

Example:

import digitalhub as dh

project = dh.get_or_create_project("my-project")

# Use CRUD method on project

workflow = project.new_workflow(name="my-workflow",
                                kind="kfp",
                                code_src="pipeline.py",
                                handler="pipeline-handler")

# Use CRUD method from SDK

workflow = dh.new_workflow(project="my-project",
                           name="my-function",
                           kind="kfp",
                           code_src="pipeline.py",
                           handler="pipeline-handler")

A workflow entity can be managed with the following methods.

Create:

Read:

Update:

Delete:

Create

You can create a workflow with the new_workflow(). The kwargs parameters are determined by the kind of the object, and are described in the kinds section.

New

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

new_workflow

Parameters:

Name Type Description Default
project str

Project name.

required
name str

Object name.

required
uuid str

ID of the object.

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.

False
**kwargs dict

Spec keyword arguments.

{}

Returns:

Type Description
Workflow

Object instance.

Examples:

>>> obj = new_function(project="my-project",
>>>                    name="my-workflow",
>>>                    kind="kfp",
>>>                    code_src="pipeline.py",
>>>                    handler="pipeline-handler")

Read

To read workflows you can use the get_workflow(), get_workflow_versions(), list_workflows() or import_workflow() workflows.

Get

This function searches for a single workflow into the backend. If you want to collect a workflow from the backend using get_workflow(), 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_workflow

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
Workflow

Object instance.

Examples:

Using entity key:

>>> obj = get_workflow("store://my-workflow-key")

Using entity name:

>>> obj = get_workflow("my-workflow-name"
>>>                    project="my-project",
>>>                    entity_id="my-workflow-id")

Get versions

This function returns all the versions of a workflow from the backend.

get_workflow_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[Workflow]

List of object instances.

Examples:

Using entity key:

>>> obj = get_workflow_versions("store://my-workflow-key")

Using entity name:

>>> obj = get_workflow_versions("my-workflow-name"
>>>                             project="my-project")

List

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

list_workflows

Parameters:

Name Type Description Default
project str

Project name.

required
**kwargs dict

Parameters to pass to the API call.

{}

Returns:

Type Description
list[Workflow]

List of object instances.

Examples:

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

Import

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

import_workflow

Parameters:

Name Type Description Default
file str

Path to YAML file.

required

Returns:

Type Description
Workflow

Object instance.

Examples:

>>> obj = import_workflow("my-workflow.yaml")

Update

To update a workflow you can use the update_workflow() method.

update_workflow

Parameters:

Name Type Description Default
entity Workflow

Object to update.

required

Returns:

Type Description
Workflow

Entity updated.

Examples:

>>> obj = update_workflow(obj)

Delete

To delete a workflow you can use the delete_workflow() method.

delete_workflow

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
cascade bool

Cascade delete.

True
**kwargs dict

Parameters to pass to the API call.

{}

Returns:

Type Description
dict

Response from backend.

Examples:

If delete_all_versions is False:

>>> obj = delete_workflow("store://my-workflow-key")

Otherwise:

>>> obj = delete_workflow("workflow-name",
>>>                       project="my-project",
>>>                       delete_all_versions=True)