Project Deployer#
- class dataikuapi.dss.projectdeployer.DSSProjectDeployer(client)#
Handle to interact with the Project Deployer.
Important
Do not instantiate directly, use
dataikuapi.DSSClient.get_projectdeployer()
- list_deployments(as_objects=True)#
List deployments on the Project Deployer.
Usage example:
# list all deployments with their current state for deployment in deployer.list_deployments(): status = deployment.get_status() print("Deployment %s is %s" % (deployment.id, status.get_health()))
- Parameters:
as_objects (boolean) – if True, returns a list of
DSSProjectDeployerDeployment
, else returns a list of dict.- Returns:
list of deployments, either as
DSSProjectDeployerDeployment
or as dict (with fields as inDSSProjectDeployerDeploymentStatus.get_light()
)- Return type:
list
- get_deployment(deployment_id)#
Get a handle to interact with a deployment.
- Parameters:
deployment_id (string) – identifier of a deployment
- Return type:
- create_deployment(deployment_id, project_key, infra_id, bundle_id, deployed_project_key=None, project_folder_id=None, ignore_warnings=False)#
Create a deployment and return the handle to interact with it.
The returned deployment is not yet started and you need to call
start_update()
Usage example:
# create and deploy a bundle project = 'my-project' infra = 'my-infra' bundle = 'my-bundle' deployment_id = '%s-%s-on-%s' % (project, bundle, infra) deployment = deployer.create_deployment(deployment_id, project, infra, bundle) update = deployment.start_update() update.wait_for_result()
- Parameters:
deployment_id (string) – identifier of the deployment to create
project_key (string) – key of the published project
bundle_id (string) – identifier of the bundle to deploy
infra_id (string) – identifier of the infrastructure to use
deployed_project_key (string) – The project key to use when deploying this project to the automation node. If not set, the project will be created with the same project key as the published project
project_folder_id (string) – The automation node project folder id to deploy this project into. If not set, the project will be created in the root folder
ignore_warnings (boolean) – ignore warnings concerning the governance status of the bundle to deploy
- Returns:
a new deployment
- Return type:
- list_stages()#
List the possible stages for infrastructures.
- Returns:
list of stages. Each stage is returned as a dict with fields:
id : identifier of the stage
desc : description of the stage
- Return type:
list[dict]
- list_infras(as_objects=True)#
List the infrastructures on the Project Deployer.
Usage example:
# list infrastructures that the user can deploy to for infrastructure in deployer.list_infras(as_objects=False): if infrastructure.get("canDeploy", False): print("User can deploy to %s" % infrastructure["infraBasicInfo"]["id"])
- Parameters:
as_objects (boolean) – if True, returns a list of
DSSProjectDeployerInfra
, else returns a list of dict.- Returns:
list of infrastructures, either as
DSSProjectDeployerInfra
or as dict (with fields as inDSSProjectDeployerInfraStatus.get_raw()
)- Return type:
list
- create_infra(infra_id, stage, govern_check_policy='NO_CHECK')#
Create a new infrastructure and returns the handle to interact with it.
- Parameters:
infra_id (string) – unique identifier of the infrastructure to create
stage (string) – stage of the infrastructure to create
govern_check_policy (string) – what actions with Govern the the deployer will take whe bundles are deployed on this infrastructure. Possible values: PREVENT, WARN, or NO_CHECK
- Returns:
a new infrastructure
- Return type:
- get_infra(infra_id)#
Get a handle to interact with an infrastructure.
- Parameters:
infra_id (string) – identifier of the infrastructure to get
- Return type:
- list_projects(as_objects=True)#
List published projects on the Project Deployer.
Usage example:
# list project that the user can deploy bundles from for project in deployer.list_projects(as_objects=False): if project.get("canDeploy", False): print("User can deploy to %s" % project["projectBasicInfo"]["id"])
- Parameters:
as_objects (boolean) – if True, returns a list of
DSSProjectDeployerProject
, else returns a list of dict.- Returns:
list of published projects, either as
DSSProjectDeployerProject
or as dict (with fields as inDSSProjectDeployerProjectStatus.get_raw()
)- Return type:
list
- create_project(project_key)#
Create a new published project on the Project Deployer and return the handle to interact with it.
- Parameters:
project_key (string) – key of the project to create
- Return type:
- get_project(project_key)#
Get a handle to interact with a published project.
- Parameters:
project_key (string) – key of the project to get
- Return type:
- upload_bundle(fp, project_key=None)#
Upload a bundle archive for a project.
- Parameters:
fp (file-like) – a bundle archive (should be a zip)
project_key (string) – key of the published project where the bundle will be uploaded. If the project does not exist, it is created. If not set, the key of the bundle’s source project is used.
Infrastructures#
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerInfra(client, infra_id)#
An Automation infrastructure on the Project Deployer.
Important
Do not instantiate directly, use
DSSProjectDeployer.get_infra()
.- property id#
Get the unique identifier of the infrastructure.
- Return type:
string
- get_status()#
Get status information about this infrastructure.
- Returns:
the current status
- Return type:
- get_settings()#
Get the settings of this infrastructure.
- Return type:
- delete()#
Delete this infra.
Note
You may only delete an infra if there are no deployments using it.
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerInfraSettings(client, infra_id, settings)#
The settings of an Automation infrastructure.
Important
Do not instantiate directly, use
DSSProjectDeployerInfra.get_settings()
To modify the settings, modify them in the dict returned by
get_raw()
then callsave()
.- get_raw()#
Get the raw settings of this infrastructure.
This returns a reference to the raw settings, not a copy, so changes made to the returned object will be reflected when saving.
- Returns:
the settings, as a dict.
- Return type:
dict
- save()#
Save back these settings to the infrastracture.
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerInfraStatus(client, infra_id, light_status)#
The status of an Automation infrastructure.
Important
Do not instantiage directly, use
DSSProjectDeployerInfra.get_status()
- get_deployments()#
Get the deployments that are deployed on this infrastructure.
- Returns:
a list of deployments
- Return type:
list of
DSSProjectDeployerDeployment
- get_raw()#
Get the raw status information.
- Returns:
the status, as a dict. The dict contains a list of the bundles currently deployed on the infrastructure as a deployments field.
- Return type:
dict
Published projects#
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerProject(client, project_key)#
A published project on the Project Deployer.
Important
Do not instantiate directly, use
DSSProjectDeployer.get_project()
- property id#
Get the key of the published project.
- Return type:
string
- get_status()#
Get status information about this published project.
This is used mostly to get information about which versions are available and which deployments are exposing this project
- Return type:
- get_settings()#
Get the settings of this published project.
The main things that can be modified in a project settings are permissions
- Return type:
- delete_bundle(bundle_id)#
Delete a bundle from this published project.
- Parameters:
bundle_id (string) – identifier of the bundle to delete
- delete()#
Delete this published project.
Note
You may only delete a published project if there are no deployments using it.
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerProjectSettings(client, project_key, settings)#
The settings of a published project.
Important
Do not instantiate directly, use
DSSProjectDeployerProject.get_settings()
To modify the settings, modify them in the dict returned by
get_raw()
then callsave()
.- get_raw()#
Get the raw settings of this published project.
This returns a reference to the raw settings, not a copy, so changes made to the returned object will be reflected when saving.
- Returns:
the settings, as a dict.
- Return type:
dict
- save()#
Save back these settings to the published project.
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerProjectStatus(client, project_key, light_status)#
The status of a published project.
Important
Do not instantiate directly, use
DSSProjectDeployerProject.get_status()
- get_deployments(infra_id=None)#
Get the deployments that have been created from this published project.
- Parameters:
infra_id (string) – (optional) identifier of an infrastructure. When set, only get the deployments deployed on this infrastructure. When not set, the list contains all the deployments using this published project, across every infrastructure of the Project Deployer.
- Returns:
a list of deployments, each a
DSSProjectDeployerDeployment
- Return type:
list
- get_bundles()#
Get the bundles that have been published on this project.
Each bundle is a dict that contains at least a “id” field, which is the version identifier
- Returns:
a list of bundles, each one a dict. Each bundle has an id field holding its identifier.
- Return type:
list[dict]
- get_infras()#
Get the infrastructures that deployments of this project use.
- Returns:
list of summaries of infrastructures, each a dict.
- Return type:
list[dict]
- get_raw()#
Gets the raw status information.
- Returns:
the status, as a dict. A deployments sub-field contains a list of the deployments of bundles of this projects.
- Return type:
dict
Deployments#
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerDeployment(client, deployment_id)#
A deployment on the Project Deployer.
Important
Do not instantiate directly, use
DSSProjectDeployer.get_deployment()
- property id#
Get the identifier of the deployment.
- Return type:
string
- get_status()#
Get status information about this deployment.
- Return type:
dataikuapi.dss.apideployer.DSSProjectDeployerDeploymentStatus
- get_governance_status(bundle_id='')#
Get the governance status about this deployment.
The infrastructure on which this deployment is running needs to have a Govern check policy of PREVENT or WARN.
- Parameters:
bundle_id (string) – (Optional) The ID of a specific bundle of the published project to get status from. If empty, the bundle currently used in the deployment.
- Returns:
messages about the governance status, as a dict with a messages field, itself a list of meassage information, each one a dict of:
severity : severity of the error in the message. Possible values are SUCCESS, INFO, WARNING, ERROR
isFatal : for ERROR severity, whether the error is considered fatal to the operation
code : a string with a well-known code documented in DSS doc
title : short message
message : the error message
details : a more detailed error description
- Return type:
dict
- get_settings()#
Get the settings of this deployment.
- Return type:
- start_update()#
Start an asynchronous update of this deployment.
After the update, the deployment should be matching the actual state to the current settings.
- Returns:
a handle on the update operation
- Return type:
- delete()#
Deletes this deployment
Note
You may only delete a deployment if it is disabled and has been updated after disabling it.
- get_testing_status(bundle_id=None, automation_node_id=None)#
Get the testing status of a project deployment.
- Parameters:
bundle_id ((optional) string) – filters the scenario runs done on a specific bundle
automation_node_id ((optional)) – for multi-node deployments only, you need to specify the automation node id on which you want to retrieve
the testing status
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerDeploymentSettings(client, deployment_id, settings)#
The settings of a Project Deployer deployment.
Important
Do not instantiate directly, use
DSSProjectDeployerDeployment.get_settings()
To modify the settings, modify them in the dict returned by
get_raw()
, or change the value ofbundle_id()
, then callsave()
.- get_raw()#
Get the raw settings of this deployment.
This returns a reference to the raw settings, not a copy, so changes made to the returned object will be reflected when saving.
- Returns:
the settings, as a dict. Notable fields are:
id : identifier of the deployment
infraId : identifier of the infrastructure on which the deployment is done
bundleId : identifier of the bundle of the published project being deployed
- Return type:
dict
- property bundle_id#
Get or set the identifier of the bundle currently used by this deployment.
If setting the value, you need to call
save()
afterward for the change to be effective.
- save(ignore_warnings=False)#
Save back these settings to the deployment.
- Parameters:
ignore_warnings (boolean) – whether to ignore warnings concerning the governance status of the bundle to deploy
- class dataikuapi.dss.projectdeployer.DSSProjectDeployerDeploymentStatus(client, deployment_id, light_status, heavy_status)#
The status of a deployment on the Project Deployer.
Important
Do not instantiate directly, use
DSSProjectDeployerDeployment.get_status()
- get_light()#
Get the ‘light’ (summary) status.
This returns a dictionary with various information about the deployment, but not the actual health of the deployment
- Returns:
a summary, as a dict, with summary information on the deployment, the project from which the deployed bundle originates, and the infrastructure on which it’s deployed.
- Return type:
dict
- get_heavy()#
Get the ‘heavy’ (full) status.
This returns various information about the deployment, notably its health.
- Returns:
a status, as a dict. The overall status of the deployment is in a health field (possible values: UNKNOWN, ERROR, WARNING, HEALTHY, UNHEALTHY, OUT_OF_SYNC).
- Return type:
dict
- get_health()#
Get the health of this deployment.
- Returns:
possible values are UNKNOWN, ERROR, WARNING, HEALTHY, UNHEALTHY, OUT_OF_SYNC
- Return type:
string
- get_health_messages()#
Get messages about the health of this deployment
- Returns:
a dict with a messages field, which is a list of meassage information, each one a dict of:
severity : severity of the error in the message. Possible values are SUCCESS, INFO, WARNING, ERROR
isFatal : for ERROR severity, whether the error is considered fatal to the operation
code : a string with a well-known code documented in DSS doc
title : short message
message : the error message
details : a more detailed error description
- Return type:
dict