Workspace

Summary

This class represents a Workspace. The Workspace class is used to fetch Tecton Objects, which are stored in a Workspace.

Examples

Examples of using the Workspace methods for accessing Tecton first class objects:

import tecton


workspace = tecton.get_workspace("my_workspace")

# For a specified workspace, list high-level registered Objects
print(f" Entities            : {workspace.list_entities()}")
print(f" Feature Data Sources: {workspace.list_data_sources()}")
print(f" Feature Views       : {workspace.list_feature_views()}")
print(f" Feature Services    : {workspace.list_feature_services()}")
print(f" Transformations     : {workspace.list_transformations()}")
print(f" Feature Tables      : {workspace.list_feature_tables()}")
print(f" Datasets            : {workspace.list_datasets()}")
print(f" List of Workspaces  : {tecton.list_workspaces()}")

Output:

Entities            : ['ad', 'auction', 'content', 'ContentKeyword', 'ads_user', 'fraud_user']
Feature Data Sources: ['ad_impressions_stream', 'ad_impressions_batch', 'transactions_stream', 'transactions_batch',
                        'users_batch', 'credit_scores_batch']
Feature Views       : ['user_has_great_credit', 'user_age', 'transaction_amount_is_high',
                       'transaction_amount_is_higher_than_average', 'transaction_bucketing', 'user_ctr_7d_2',
                       ...
                       'user_ad_impression_counts', 'content_keyword_click_counts']
Feature Services    : ['ad_ctr_feature_service', 'fraud_detection_feature_service',
                        'fraud_detection_feature_service:v2', 'minimal_fs', 'continuous_feature_service']
Transformations     : ['content_keyword_click_counts', 'user_ad_impression_counts', 'user_click_counts',
                       'user_impression_counts', 'user_ctr_7d', 'user_ctr_7d_2', 'user_distinct_ad_count_7d',
                       ...
                       'weekend_transaction_count_n_days', 'user_has_good_credit_sql']
Feature Tables      : ['user_login_counts', 'user_page_click_feature_table']
Datasets            : ['fraud_detection_training_data', 'ad_ctr_training_data']
List of Workspaces  : ['jsd_tecton_wksp, 'kafka_streaming_staging, 'kafka_streaming_production',
                       ...
                       'on_demand_streaming_aggregation_pipeline']

Methods

Name	Description
__init__(...)	Fetch an existing tecton.Workspace by name.
delete_dataset(...)	Deletes a Dataset that has been saved to this workspace.
get(...)	Returns a tecton.Workspace instance for the workspace with the provided name.
get_data_source(...)	Returns a Data Source that has been applied to a workspace.
get_dataset(...)	Returns a Dataset that has been saved to this workspace.
get_entity(...)	Returns an Entity that has been applied to a workspace.
get_feature_freshness()	Returns feature freshness status for Feature Views and Tables.
get_feature_service(...)	Returns a Feature Service that has been applied to a workspace.
get_feature_table(...)	Returns a Feature Table that has been applied to a workspace.
get_feature_view(...)	Returns a Feature View that has been applied to a workspace.
get_prompt(...)	Returns a Prompt that has been applied to a workspace.
get_transformation(...)	Returns a Transformation that has been applied to a workspace.
list_data_sources()	Returns a list of all registered Data Sources within a workspace.
list_datasets()	Returns a list of all saved Datasets within a workspace.
list_entities()	Returns a list of all registered Entities within a workspace.
list_feature_services()	Returns a list of all registered Feature Services within a workspace.
list_feature_tables()	Returns a list of all registered Feature Tables within a workspace.
list_feature_views()	Returns a list of all registered Feature Views within a workspace.
list_prompts()	Returns a list of all registered Prompts within a workspace.
list_transformations()	Returns a list of all registered Transformations within a workspace.
summary()	Returns workspace metadata.

__init__(...)

Fetch an existing tecton.Workspace by name.

Parameters

• workspace (str) - Workspace name.


• _is_live (Optional[bool]) - True if this workspace is live. Live workspaces materialize data for real-time endpoints, accessible in the production environment. Default: None


• _validate (bool) - If True, Tecton runs validation on object creation. Default: true

delete_dataset(...)

Deletes a Dataset that has been saved to this workspace.

Parameters

• name (str) - The name of the Dataset to delete.

get(...)

Returns a tecton.Workspace instance for the workspace with the provided name.

Parameters

• name () - The name of the workspace to retrieve.

Returns

Workspace

get_data_source(...)

Returns a Data Source that has been applied to a workspace.

Parameters

• name (str) - The name of the Data Source to retrieve.

Returns

Union[BatchSource, StreamSource]

get_dataset(...)

Returns a Dataset that has been saved to this workspace.

Parameters

• name (str) - The name of the Dataset to retrieve.

Returns

Dataset

get_entity(...)

Returns an Entity that has been applied to a workspace.

Parameters

• name (str) - The name of the Entity to retrieve.

Returns

Entity

get_feature_freshness()

Returns feature freshness status for Feature Views and Tables.

Returns

Union[, str]: Displayable containing freshness statuses for all features. Use to_dict() for a parseable representation.

get_feature_service(...)

Returns a Feature Service that has been applied to a workspace.

Parameters

• name (str) - The name of the Feature Service to retrieve.

Returns

FeatureService

get_feature_table(...)

Returns a Feature Table that has been applied to a workspace.

Parameters

• name (str) - The name of the Feature Table to retrieve.

Returns

FeatureTable

get_feature_view(...)

Returns a Feature View that has been applied to a workspace.

Parameters

• name (str) - The name of the Feature View to retrieve.

Returns

FeatureView

get_prompt(...)

Returns a Prompt that has been applied to a workspace.

Parameters

• name (str) - The name of the Prompt to retrieve.

Returns

Prompt

get_transformation(...)

Returns a Transformation that has been applied to a workspace.

Parameters

• name (str) - The name of the Transformation to retrieve.

Returns

Transformation

list_data_sources()

Returns a list of all registered Data Sources within a workspace.

Returns

List[str]: List of strings of data source names

list_datasets()

Returns a list of all saved Datasets within a workspace.

Returns

List[str]: List of strings of dataset names

list_entities()

Returns a list of all registered Entities within a workspace.

Returns

List[str]: List of strings of entity names

list_feature_services()

Returns a list of all registered Feature Services within a workspace.

Returns

List[str]: List of strings of feature service names

list_feature_tables()

Returns a list of all registered Feature Tables within a workspace.

Returns

List[str]: List of strings of feature table names

list_feature_views()

Returns a list of all registered Feature Views within a workspace.

Returns

List[str]: List of strings of feature view names

list_prompts()

Returns a list of all registered Prompts within a workspace.

Returns

List[str]: List of strings of prompt names

list_transformations()

Returns a list of all registered Transformations within a workspace.

Returns

List[str]: List of strings of transformation names

summary()

Returns workspace metadata.

Returns

Displayable of metadata for this workspace. Use to_dict() for a parseable representation.