The main DSSClient class

The REST API Python client makes it easy to write client programs for the DSS REST API in Python. The REST API Python client is in the dataikuapi Python package.

The client is the entrypoint for many of the capabilities listed in this chapter.

For more details about the two Dataiku packages, see Python APIs, Using the APIs inside of DSS and Using the APIs outside of DSS.

Creating a client from inside DSS

To work with the API, a connection needs to be established with DSS, by creating a DSSClient object. Once the connection is established, the DSSClient object serves as the entry point to the other calls.

The Python client can be used from inside DSS. In that case:

  • It’s preinstalled, you don’t need to do anything

  • You don’t need to provide any API key, as the API client will automatically inherit connection credentials from the current context

import dataiku

client = dataiku.api_client()

# client is now a DSSClient and can perform all authorized actions.
# For example, list the project keys for which you have access
client.list_project_keys()

Creating a client from outside DSS

To work with the API, a connection needs to be established with DSS, by creating a DSSClient object. Once the connection is established, the DSSClient object serves as the entry point to the other calls.

When running outside of DSS, you’ll first need to install the client. For that, simply install it from pip

To use the Python client from outside DSS, simply install it from pip.

pip install dataiku-api-client

This installs the client in the system-wide Python installation, so if you are not using virtualenv, you may need to replace pip by sudo pip.

Note that this will always install the latest version of the API client. You might need to request a version compatible with your version of DSS.

When connecting from the outside world, you need an API key. See Public API Keys for more information on how to create an API key and the associated privileges.

You also need to connect using the base URL of your DSS instance.

import dataikuapi

host = "http://localhost:11200"
apiKey = "some_key"
client = dataikuapi.DSSClient(host, apiKey)

# client is now a DSSClient and can perform all authorized actions.
# For example, list the project keys for which the API key has access
client.list_project_keys()

Disabling SSL certificate check

If your DSS has SSL enabled, the package will verify the certificate. In order for this to work, you may need to add the root authority that signed the DSS SSL certificate to your local trust store. Please refer to your OS or Python manual for instructions.

If this is not possible, you can also disable checking the SSL certificate by setting client._session.verify = False

Reference API doc

Also see Reference API documentation of dataikuapi.

class dataikuapi.DSSClient(host, api_key=None, internal_ticket=None, extra_headers=None)

Entry point for the DSS API client

list_futures(as_objects=False, all_users=False)

List the currently-running long tasks (a.k.a futures)

Parameters
  • as_objects (boolean) – if True, each returned item will be a dataikuapi.dss.future.DSSFuture

  • all_users (boolean) – if True, returns futures for all users (requires admin privileges). Else, only returns futures for the user associated with the current authentication context (if any)

Returns

list of futures. if as_objects is True, each future in the list is a dataikuapi.dss.future.DSSFuture. Else, each future in the list is a dict. Each dict contains at least a ‘jobId’ field

Return type

list of dataikuapi.dss.future.DSSFuture or list of dict

list_running_scenarios(all_users=False)

List the running scenarios

Parameters

all_users (boolean) – if True, returns scenarios for all users (requires admin privileges). Else, only returns scenarios for the user associated with the current authentication context (if any)

Returns

list of running scenarios, each one as a dict containing at least a “jobId” field for the future hosting the scenario run, and a “payload” field with scenario identifiers

Return type

list of dicts

get_future(job_id)

Get a handle to interact with a specific long task (a.k.a future). This notably allows aborting this future.

Parameters

job_id (str) – the identifier of the desired future (which can be returned by list_futures() or list_running_scenarios())

Returns

A handle to interact the future

Return type

dataikuapi.dss.future.DSSFuture

list_running_notebooks(as_objects=True)

List the currently-running Jupyter notebooks

Parameters

as_objects (boolean) – if True, each returned item will be a dataikuapi.dss.notebook.DSSNotebook

Returns

list of notebooks. if as_objects is True, each entry in the list is a dataikuapi.dss.notebook.DSSNotebook. Else, each item in the list is a dict which contains at least a “name” field.

Return type

list of dataikuapi.dss.notebook.DSSNotebook or list of dict

get_root_project_folder()

Get a handle to interact with the root project folder.

Returns

A dataikuapi.dss.projectfolder.DSSProjectFolder to interact with this project folder

get_project_folder(project_folder_id)

Get a handle to interact with a project folder.

Parameters

project_folder_id (str) – the project folder ID of the desired project folder

Returns

A dataikuapi.dss.projectfolder.DSSProjectFolder to interact with this project folder

list_project_keys()

List the project keys (=project identifiers).

Returns

list of project keys identifiers, as strings

Return type

list of strings

list_projects()

List the projects

Returns

a list of projects, each as a dict. Each dictcontains at least a ‘projectKey’ field

Return type

list of dicts

get_project(project_key)

Get a handle to interact with a specific project.

Parameters

project_key (str) – the project key of the desired project

Returns

A dataikuapi.dss.project.DSSProject to interact with this project

get_default_project()

Get a handle to the current default project, if available (i.e. if dataiku.default_project_key() is valid)

create_project(project_key, name, owner, description=None, settings=None, project_folder_id=None)

Creates a new project, and return a project handle to interact with it.

Note: this call requires an API key with admin rights or the rights to create a project

Parameters
  • project_key (str) – the identifier to use for the project. Must be globally unique

  • name (str) – the display name for the project.

  • owner (str) – the login of the owner of the project.

  • description (str) – a description for the project.

  • settings (dict) – Initial settings for the project (can be modified later). The exact possible settings are not documented.

  • project_folder_id (str) – the project folder ID in which the project will be created (root project folder if not specified)

Returns

A dataikuapi.dss.project.DSSProject project handle to interact with this project

list_apps()

List the apps

Returns

a list of apps, each as a dict. Each dict contains at least a ‘appId’ field

Return type

list of dicts

get_app(app_id)

Get a handle to interact with a specific app.

Parameters

app_id (str) – the id of the desired app

Returns

A dataikuapi.dss.app.DSSApp to interact with this project

list_plugins()

List the installed plugins

Returns

list of dict. Each dict contains at least a ‘id’ field

download_plugin_stream(plugin_id)

Download a development plugin, as a binary stream :param str plugin_id: identifier of the plugin to download

Parameters

plugin_id

Returns

the binary stream

download_plugin_to_file(plugin_id, path)

Download a development plugin to a file

Parameters
  • plugin_id (str) – identifier of the plugin to download

  • path (str) – the path where to download the plugin

Returns

None

install_plugin_from_archive(fp)

Install a plugin from a plugin archive (as a file object)

Parameters

fp (object) – A file-like object pointing to a plugin archive zip

install_plugin_from_store(plugin_id)

Install a plugin from the Dataiku plugin store

Parameters

plugin_id (str) – identifier of the plugin to install

Returns

A DSSFuture representing the install process

install_plugin_from_git(repository_url, checkout='master', subpath=None)

Install a plugin from a Git repository. DSS must be setup to allow access to the repository.

Parameters
  • repository_url (str) – URL of a Git remote

  • checkout (str) – branch/tag/SHA1 to commit. For example “master”

  • subpath (str) – Optional, path within the repository to use as plugin. Should contain a ‘plugin.json’ file

Returns

A DSSFuture representing the install process

get_plugin(plugin_id)

Get a handle to interact with a specific plugin

Parameters

plugin_id (str) – the identifier of the desired plugin

Returns

A dataikuapi.dss.project.DSSPlugin

sql_query(query, connection=None, database=None, dataset_full_name=None, pre_queries=None, post_queries=None, type='sql', extra_conf=None, script_steps=None, script_input_schema=None, script_output_schema=None, script_report_location=None, read_timestamp_without_timezone_as_string=True, read_date_as_string=False, project_key=None)

Initiate a SQL, Hive or Impala query and get a handle to retrieve the results of the query. Internally, the query is run by DSS. The database to run the query on is specified either by passing a connection name, or by passing a database name, or by passing a dataset full name (whose connection is then used to retrieve the database)

Parameters
  • query (str) – the query to run

  • connection (str) – the connection on which the query should be run (exclusive of database and dataset_full_name)

  • database (str) – the database on which the query should be run (exclusive of connection and dataset_full_name)

  • dataset_full_name (str) – the dataset on the connection of which the query should be run (exclusive of connection and database)

  • pre_queries (list) – (optional) array of queries to run before the query

  • post_queries (list) – (optional) array of queries to run after the query

  • type (str) – the type of query : either ‘sql’, ‘hive’ or ‘impala’

  • project_key (str) – The project_key on which the query should be run (especially useful for user isolation/impersonation scenario)

Returns

A dataikuapi.dss.sqlquery.DSSSQLQuery query handle

list_users(as_objects=False)

List all users setup on the DSS instance

Note: this call requires an API key with admin rights

Returns

A list of users, as a list of dataikuapi.dss.admin.DSSUser if as_objects is True, else as a list of dicts

Return type

list of dataikuapi.dss.admin.DSSUser or list of dicts

get_user(login)

Get a handle to interact with a specific user

Parameters

login (str) – the login of the desired user

Returns

A dataikuapi.dss.admin.DSSUser user handle

create_user(login, password, display_name='', source_type='LOCAL', groups=None, profile='DATA_SCIENTIST')

Create a user, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • login (str) – the login of the new user

  • password (str) – the password of the new user

  • display_name (str) – the displayed name for the new user

  • source_type (str) – the type of new user. Admissible values are ‘LOCAL’ or ‘LDAP’

  • groups (list) – the names of the groups the new user belongs to (defaults to [])

  • profile (str) – The profile for the new user, can be one of READER, DATA_ANALYST or DATA_SCIENTIST

Returns

A dataikuapi.dss.admin.DSSUser user handle

get_own_user()
list_users_activity(enabled_users_only=False)

List all users activity

Note: this call requires an API key with admin rights

Returns

A list of user activity logs, as a list of dataikuapi.dss.admin.DSSUserActivity if as_objects is True, else as a list of dict

Return type

list of dataikuapi.dss.admin.DSSUserActivity or a list of dict

get_authorization_matrix()

Get the authorization matrix for all enabled users and groups

Note: this call requires an API key with admin rights

Returns

The authorization matrix

Return type

A dataikuapi.dss.admin.DSSAuthorizationMatrix authorization matrix handle

list_groups()

List all groups setup on the DSS instance

Note: this call requires an API key with admin rights

Returns

A list of groups, as an list of dicts

Return type

list of dicts

get_group(name)

Get a handle to interact with a specific group

Parameters

name (str) – the name of the desired group

Returns

A dataikuapi.dss.admin.DSSGroup group handle

create_group(name, description=None, source_type='LOCAL')

Create a group, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • name (str) – the name of the new group

  • description (str) – (optional) a description of the new group

  • source_type – the type of the new group. Admissible values are ‘LOCAL’ and ‘LDAP’

Returns

A dataikuapi.dss.admin.DSSGroup group handle

list_connections()

List all connections setup on the DSS instance

Note: this call requires an API key with admin rights

Returns

All connections, as a dict of connection name to connection definition

Return type

:dict

get_connection(name)

Get a handle to interact with a specific connection

Parameters

name (str) – the name of the desired connection

Returns

A dataikuapi.dss.admin.DSSConnection connection handle

create_connection(name, type, params=None, usable_by='ALL', allowed_groups=None)

Create a connection, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • name – the name of the new connection

  • type – the type of the new connection

  • params (dict) – the parameters of the new connection, as a JSON object (defaults to {})

  • usable_by – the type of access control for the connection. Either ‘ALL’ (=no access control) or ‘ALLOWED’ (=access restricted to users of a list of groups)

  • allowed_groups (list) – when using access control (that is, setting usable_by=’ALLOWED’), the list of names of the groups whose users are allowed to use the new connection (defaults to [])

Returns

A dataikuapi.dss.admin.DSSConnection connection handle

list_code_envs(as_objects=False)

List all code envs setup on the DSS instance

Note: this call requires an API key with admin rights

Parameters

as_objects (boolean) – if True, each returned item will be a dataikuapi.dss.future.DSSCodeEnv

Returns

a list of code envs. Each code env is a dict containing at least “name”, “type” and “language”

get_code_env(env_lang, env_name)

Get a handle to interact with a specific code env

Parameters
  • env_lang – the language (PYTHON or R) of the new code env

  • env_name – the name of the new code env

Returns

A dataikuapi.dss.admin.DSSCodeEnv code env handle

create_code_env(env_lang, env_name, deployment_mode, params=None)

Create a code env, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • env_lang – the language (PYTHON or R) of the new code env

  • env_name – the name of the new code env

  • deployment_mode – the type of the new code env

  • params – the parameters of the new code env, as a JSON object

Returns

A dataikuapi.dss.admin.DSSCodeEnv code env handle

list_code_env_usages()

List all usages of a code env in the instance

Returns

a list of objects where the code env is used

list_clusters()

List all clusters setup on the DSS instance

Returns:

List clusters (name, type, state)

get_cluster(cluster_id)

Get a handle to interact with a specific cluster

Args:

name: the name of the desired cluster

Returns:

A dataikuapi.dss.admin.DSSCluster cluster handle

create_cluster(cluster_name, cluster_type='manual', params=None, cluster_architecture='HADOOP')

Create a cluster, and return a handle to interact with it

Parameters
  • cluster_name – the name of the new cluster

  • cluster_type – the type of the new cluster

  • params – the parameters of the new cluster, as a JSON object

  • cluster_architecture – the architecture of the new cluster. ‘HADOOP’ or ‘KUBERNETES’

Returns

A dataikuapi.dss.admin.DSSCluster cluster handle

list_code_studio_templates(as_type='listitems')

List all code studio templates on the DSS instance

Returns

List of templates (name, type)

get_code_studio_template(template_id)

Get a handle to interact with a specific code studio template

Parameters

template_id (str) – the template id of the desired code studio template

Returns

A dataikuapi.dss.admin.DSSCodeStudioTemplate code studio template handle

list_global_api_keys()

List all global API keys set up on the DSS instance

Note: this call requires an API key with admin rights

Returns

All global API keys, as a list of dicts

get_global_api_key(key)

Get a handle to interact with a specific Global API key

Parameters

key (str) – the secret key of the desired API key

Returns

A dataikuapi.dss.admin.DSSGlobalApiKey API key handle

create_global_api_key(label=None, description=None, admin=False)

Create a Global API key, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • label (str) – the label of the new API key

  • description (str) – the description of the new API key

  • admin (str) – has the new API key admin rights (True or False)

Returns

A dataikuapi.dss.admin.DSSGlobalApiKey API key handle

list_personal_api_keys(as_type='listitems')

List all your personal API keys.

Parameters

as_type (str) – How to return the personal API keys. Possible values are “listitems” and “objects”

Returns

if as_type=listitems, each key as a dataikuapi.dss.admin.DSSPersonalApiKeyListItem. if as_type=objects, each key is returned as a dataikuapi.dss.admin.DSSPersonalApiKey.

get_personal_api_key(id)

Get a handle to interact with a specific Personal API key.

Parameters

id (str) – the id of the desired API key

Returns

A dataikuapi.dss.admin.DSSPersonalApiKey API key handle

create_personal_api_key(label='', description='', as_type='dict')

Create a Personal API key associated with your user.

Parameters
  • label (str) – the label of the new API key

  • description (str) – the description of the new API key

  • as_type (str) – How to return the personal API keys. Possible values are “dict” and “object”

Returns

if as_type=dict, the new personal API key is returned as a dict. if as_type=object, the new personal API key is returned as a dataikuapi.dss.admin.DSSPersonalApiKey.

list_all_personal_api_keys(as_type='listitems')

List all personal API keys. Only admin can list all the keys.

Parameters

as_type (str) – How to return the personal API keys. Possible values are “listitems” and “objects”

Returns

if as_type=listitems, each key as a dataikuapi.dss.admin.DSSPersonalApiKeyListItem. if as_type=objects, each key is returned as a dataikuapi.dss.admin.DSSPersonalApiKey.

create_personal_api_key_for_user(user, label='', description='', as_type='object')

Create a Personal API key associated on behalf of a user. Only admin can create a key for another user.

Parameters
  • label (str) – the label of the new API key

  • description (str) – the description of the new API key

  • user (str) – the id of the user to impersonate

  • as_type (str) – How to return the personal API keys. Possible values are “dict” and “object”

Returns

if as_type=dict, the new personal API key is returned as a dict. if as_type=object, the new personal API key is returned as a dataikuapi.dss.admin.DSSPersonalApiKey.

list_meanings()

List all user-defined meanings on the DSS instance

Note: this call requires an API key with admin rights

Returns

A list of meanings. Each meaning is a dict

Return type

list of dicts

get_meaning(id)

Get a handle to interact with a specific user-defined meaning

Note: this call requires an API key with admin rights

Parameters

id (str) – the ID of the desired meaning

Returns

A dataikuapi.dss.meaning.DSSMeaning meaning handle

create_meaning(id, label, type, description=None, values=None, mappings=None, pattern=None, normalizationMode=None, detectable=False)

Create a meaning, and return a handle to interact with it

Note: this call requires an API key with admin rights

Parameters
  • id – the ID of the new meaning

  • type – the type of the new meaning. Admissible values are ‘DECLARATIVE’, ‘VALUES_LIST’, ‘VALUES_MAPPING’ and ‘PATTERN’

  • (optional) (detectable) – the description of the new meaning

  • (optional) – when type is ‘VALUES_LIST’, the list of values, or a list of {‘value’:’the value’, ‘color’:’an optional color’}

  • (optional) – when type is ‘VALUES_MAPPING’, the mapping, as a list of objects with this structure: {‘from’: ‘value_1’, ‘to’: ‘value_a’}

  • (optional) – when type is ‘PATTERN’, the pattern

  • (optional) – when type is ‘VALUES_LIST’, ‘VALUES_MAPPING’ or ‘PATTERN’, the normalization mode to use for value matching. One of ‘EXACT’, ‘LOWERCASE’, or ‘NORMALIZED’ (not available for ‘PATTERN’ type). Defaults to ‘EXACT’.

  • (optional) – whether DSS should consider assigning the meaning to columns set to ‘Auto-detect’. Defaults to False.

Returns

A dataikuapi.dss.meaning.DSSMeaning meaning handle

list_logs()

List all available log files on the DSS instance This call requires an API key with admin rights

Returns

A list of log file names

get_log(name)

Get the contents of a specific log file This call requires an API key with admin rights

Parameters

name (str) – the name of the desired log file (obtained with list_logs())

Returns

The full content of the log file, as a string

log_custom_audit(custom_type, custom_params=None)

Log a custom entry to the audit trail

Parameters
  • custom_type (str) – value for customMsgType in audit trail item

  • custom_params (dict) – value for customMsgParams in audit trail item (defaults to {})

get_global_usage_summary(with_per_project=False)

Gets a summary of the global usage of this DSS instance (number of projects, datasets, …) :returns: a summary object

get_variables()

Deprecated. Use get_global_variables()

get_global_variables()

Get the DSS instance’s variables, as a Python dictionary

This call requires an API key with admin rights

Returns

A dataikuapi.dss.admin.DSSInstanceVariables handle

set_variables(variables)

Deprecated. Use get_global_variables() and dataikuapi.dss.admin.DSSInstanceVariables.save()

Updates the DSS instance’s variables

This call requires an API key with admin rights

It is not possible to update a single variable, you must set all of them at once. Thus, you should only use a variables parameter that has been obtained using get_variables().

Parameters

variables (dict) – the new dictionary of all variables of the instance

get_resolved_variables(project_key=None, typed=False)

Get a dictionary of resolved variables of the project.

Parameters
  • project_key (str) – the project key, defaults to the current project if any

  • typed (bool) – if True, the variable values will be typed in the returned dict, defaults to False

Returns

a dictionary with instance and project variables merged

get_general_settings()

Gets a handle to interact with the general settings.

This call requires an API key with admin rights

Returns

a dataikuapi.dss.admin.DSSGeneralSettings handle

create_project_from_bundle_local_archive(archive_path, project_folder=None)

Create a project from a bundle archive. Warning: this method can only be used on an automation node.

Parameters
  • archive_path (string) – Path on the local machine where the archive is

  • project_folder (A dataikuapi.dss.projectfolder.DSSProjectFolder) – the project folder in which the project will be created or None for root project folder

create_project_from_bundle_archive(fp, project_folder=None)

Create a project from a bundle archive (as a file object) Warning: this method can only be used on an automation node.

Parameters
  • fp (string) – A file-like object pointing to a bundle archive zip

  • project_folder (A dataikuapi.dss.projectfolder.DSSProjectFolder) – the project folder in which the project will be created or None for root project folder

prepare_project_import(f)

Prepares import of a project archive. Warning: this method can only be used on a design node.

Parameters

fp (file-like) – the input stream, as a file-like object

Returns

a TemporaryImportHandle to interact with the prepared import

get_apideployer()

Gets a handle to work with the API Deployer

Return type

DSSAPIDeployer

get_projectdeployer()

Gets a handle to work with the Project Deployer

Return type

DSSProjectDeployer

catalog_index_connections(connection_names=None, all_connections=False, indexing_mode='FULL')

Triggers an indexing of multiple connections in the data catalog

Parameters
  • connection_names (list) – list of connections to index, ignored if all_connections=True (defaults to [])

  • all_connections (bool) – index all connections (defaults to False)

get_scoring_libs_stream()

Get the scoring libraries jar required for scoring with model jars that don’t include libraries. You need to close the stream after download. Failure to do so will result in the DSSClient becoming unusable.

Returns

a jar file, as a stream

Return type

file-like

get_auth_info(with_secrets=False)

Returns various information about the user currently authenticated using this instance of the API client.

This method returns a dict that may contain the following keys (may also contain others):

  • authIdentifier: login for a user, id for an API key

  • groups: list of group names (if context is an user)

  • secrets: list of dicts containing user secrets (if context is an user)

Param

with_secrets boolean: Return user secrets

Returns

a dict

Return type

dict

get_auth_info_from_browser_headers(headers_dict, with_secrets=False)

Returns various information about the DSS user authenticated by the dictionary of HTTP headers provided in headers_dict.

This is generally only used in webapp backends

This method returns a dict that may contain the following keys (may also contain others):

  • authIdentifier: login for a user, id for an API key

  • groups: list of group names (if context is an user)

  • secrets: list of dicts containing user secrets (if context is an user)

Param

headers_dict dict: Dictionary of HTTP headers

Param

with_secrets boolean: Return user secrets

Returns

a dict

Return type

dict

get_ticket_from_browser_headers(headers_dict)

Returns a ticket for the DSS user authenticated by the dictionary of HTTP headers provided in headers_dict.

This is only used in webapp backends

This method returns a ticket to use as a X-DKU-APITicket header

Param

headers_dict dict: Dictionary of HTTP headers

Returns

a string

Return type

string

push_base_images()

Push base images for Kubernetes container-execution and Spark-on-Kubernetes

apply_kubernetes_namespaces_policies()

Apply Kubernetes namespaces policies defined in the general settings

get_instance_info()

Get global information about the DSS instance

Returns

a DSSInstanceInfo

perform_instance_sanity_check(exclusion_list=[], wait=True)

Run an Instance Sanity Check.

This call requires an API key with admin rights.

Parameters

exclusion_list – a string list of codes to exclude in the sanity check, as returned by get_sanity_check_codes()

Returns

a dataikuapi.dss.utils.DSSInfoMessages if wait is True, or a dataikuapi.dss.future.DSSFuture handle otherwise

Return type

dataikuapi.dss.utils.DSSInfoMessages or dataikuapi.dss.future.DSSFuture

get_sanity_check_codes()

Return the list of codes that can be generated by the sanity check.

This call requires an API key with admin rights.

Return type

list[str]

get_licensing_status()

Returns a dictionary with information about licensing status of this DSS instance

Return type

dict

set_license(license)

Sets a new licence for DSS

Parameters

license – license (content of license file)

Returns

None

get_object_discussions(project_key, object_type, object_id)

Get a handle to manage discussions on any object

Parameters
  • project_key (str) – identifier of the project to access

  • object_type (str) – DSS object type

  • object_id (str) – DSS object ID

Returns

the handle to manage discussions

Return type

dataikuapi.discussion.DSSObjectDiscussions

get_feature_store()

Get a handle to interact with the Feature Store.

Returns

a handle on the feature store

Return type

dataikuapi.feature_store.DSSFeatureStore

list_workspaces(as_objects=False)

List the workspaces

Returns

The list of workspaces.

get_workspace(workspace_key)

Get a handle to interact with a specific workspace

Parameters

workspace_key (str) – the workspace key of the desired workspace

Returns

A dataikuapi.dss.workspace.DSSWorkspace to interact with this workspace

create_workspace(workspace_key, name, permissions=None, description=None, color=None)

Create a new workspace and return a workspace handle to interact with it

Parameters
  • workspace_key (str) – the identifier to use for the workspace. Must be globally unique

  • name (str) – the display name for the workspace.

  • permissions ([dataikuapi.dss.workspace.DSSWorkspacePermissionItem]) – Initial permissions for the workspace (can be modified later).

  • description (str) – a description for the workspace.

  • color (str) – The color to use (#RRGGBB format). A random color will be assigned if not specified

Returns

A dataikuapi.dss.workspace.DSSWorkspace workspace handle to interact with this workspace

class dataikuapi.dssclient.TemporaryImportHandle(client, import_id)
execute(settings=None)

Executes the import with provided settings.

Parameters

settings (dict) –

Dict of import settings (defaults to {}). The following settings are available:

  • targetProjectKey (string): Key to import under. Defaults to the original project key

  • remapping (dict): Dictionary of connection and code env remapping settings.

    See example of remapping dict:

    "remapping" : {
      "connections": [
        { "source": "src_conn1", "target": "target_conn1" },
        { "source": "src_conn2", "target": "target_conn2" }
      ],
      "codeEnvs" : [
        { "source": "src_codeenv1", "target": "target_codeenv1" },
        { "source": "src_codeenv2", "target": "target_codeenv2" }
      ]
    }
    

@warning: You must check the ‘success’ flag