datahub/metadata-ingestion/examples/library/glossary_term_create.py

32 lines
1.1 KiB
Python

import os
from datahub.emitter.mce_builder import make_term_urn
from datahub.emitter.mcp import MetadataChangeProposalWrapper
from datahub.emitter.rest_emitter import DatahubRestEmitter
from datahub.metadata.schema_classes import GlossaryTermInfoClass
# Get DataHub connection details from environment
gms_server = os.getenv("DATAHUB_GMS_URL", "http://localhost:8080")
token = os.getenv("DATAHUB_GMS_TOKEN")
# Create a term URN - the unique identifier for the glossary term
term_urn = make_term_urn("CustomerLifetimeValue")
# Define the term's core information
term_info = GlossaryTermInfoClass(
name="Customer Lifetime Value",
definition="The total revenue a business can expect from a single customer account throughout the business relationship. This metric helps prioritize customer retention efforts and marketing spend.",
termSource="INTERNAL",
)
# Create a metadata change proposal
event = MetadataChangeProposalWrapper(
entityUrn=term_urn,
aspect=term_info,
)
# Emit the metadata
rest_emitter = DatahubRestEmitter(gms_server=gms_server, token=token)
rest_emitter.emit(event)
print(f"Created glossary term: {term_urn}")