mirror of
https://github.com/datahub-project/datahub.git
synced 2025-07-13 12:10:23 +00:00
30 lines
961 B
Python
30 lines
961 B
Python
|
import datahub.emitter.mce_builder as builder
|
||
|
|
import datahub.metadata.schema_classes as models
|
||
|
|
from datahub.emitter.mcp import MetadataChangeProposalWrapper
|
||
|
|
from datahub.emitter.rest_emitter import DatahubRestEmitter
|
||
|
|
|
||
|
|
# Create an emitter to DataHub over REST
|
||
|
|
emitter = DatahubRestEmitter(gms_server="http://localhost:8080", extra_headers={})
|
||
|
|
|
||
|
|
dataset_urn = builder.make_dataset_urn(
|
||
|
|
name="fct_users_deleted", platform="hive", env="PROD"
|
||
|
|
)
|
||
|
|
feature_urn = builder.make_ml_feature_urn(
|
||
|
|
feature_table_name="my-feature-table",
|
||
|
|
feature_name="my-feature",
|
||
|
|
)
|
||
|
|
|
||
|
|
# Create feature
|
||
|
|
metadata_change_proposal = MetadataChangeProposalWrapper(
|
||
|
|
entityType="mlFeature",
|
||
|
|
changeType=models.ChangeTypeClass.UPSERT,
|
||
|
|
entityUrn=feature_urn,
|
||
|
|
aspectName="mlFeatureProperties",
|
||
|
|
aspect=models.MLFeaturePropertiesClass(
|
||
|
|
description="my feature", sources=[dataset_urn], dataType="TEXT"
|
||
|
|
),
|
||
|
|
)
|
||
|
|
|
||
|
|
# Emit metadata!
|
||
|
|
emitter.emit(metadata_change_proposal)
|