mirror of
https://github.com/open-metadata/OpenMetadata.git
synced 2025-10-31 18:48:35 +00:00
125 lines
4.2 KiB
Python
125 lines
4.2 KiB
Python
# Copyright 2021 Collate
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""
|
|
Data Insights DAG function builder
|
|
"""
|
|
import json
|
|
|
|
from airflow import DAG
|
|
from openmetadata_managed_apis.utils.logger import set_operator_logger
|
|
from openmetadata_managed_apis.workflows.ingestion.common import (
|
|
ClientInitializationError,
|
|
GetServiceException,
|
|
build_dag,
|
|
)
|
|
from openmetadata_managed_apis.workflows.ingestion.elasticsearch_sink import (
|
|
build_elasticsearch_sink,
|
|
)
|
|
|
|
from metadata.data_insight.api.workflow import DataInsightWorkflow
|
|
from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
|
|
IngestionPipeline,
|
|
)
|
|
from metadata.generated.schema.entity.services.metadataService import MetadataService
|
|
from metadata.generated.schema.metadataIngestion.workflow import (
|
|
LogLevels,
|
|
OpenMetadataWorkflowConfig,
|
|
Processor,
|
|
)
|
|
from metadata.generated.schema.metadataIngestion.workflow import (
|
|
Source as WorkflowSource,
|
|
)
|
|
from metadata.generated.schema.metadataIngestion.workflow import (
|
|
SourceConfig,
|
|
WorkflowConfig,
|
|
)
|
|
from metadata.ingestion.models.encoders import show_secrets_encoder
|
|
from metadata.ingestion.ometa.ometa_api import OpenMetadata
|
|
|
|
|
|
def data_insight_workflow(workflow_config: OpenMetadataWorkflowConfig):
|
|
"""Task that creates and runs the data insight workflow.
|
|
|
|
The workflow_config gets created form the incoming
|
|
ingestionPipeline.
|
|
|
|
This is the callable used to create the PythonOperator
|
|
|
|
Args:
|
|
workflow_config (OpenMetadataWorkflowConfig): _description_
|
|
"""
|
|
set_operator_logger(workflow_config)
|
|
|
|
config = json.loads(workflow_config.json(encoder=show_secrets_encoder))
|
|
workflow = DataInsightWorkflow.create(config)
|
|
|
|
workflow.execute()
|
|
workflow.raise_from_status()
|
|
workflow.print_status()
|
|
workflow.stop()
|
|
|
|
|
|
def build_data_insight_workflow_config(
|
|
ingestion_pipeline: IngestionPipeline,
|
|
) -> OpenMetadataWorkflowConfig:
|
|
"""
|
|
Given an airflow_pipeline, prepare the workflow config JSON
|
|
"""
|
|
|
|
try:
|
|
metadata = OpenMetadata(config=ingestion_pipeline.openMetadataServerConnection)
|
|
except Exception as exc:
|
|
raise ClientInitializationError(f"Failed to initialize the client: {exc}")
|
|
|
|
openmetadata_service = metadata.get_by_name(
|
|
entity=MetadataService, fqn=ingestion_pipeline.service.fullyQualifiedName
|
|
)
|
|
|
|
if not openmetadata_service:
|
|
raise GetServiceException(service_type="metadata", service_name="OpenMetadata")
|
|
|
|
sink = build_elasticsearch_sink(
|
|
openmetadata_service.connection.config, ingestion_pipeline
|
|
)
|
|
|
|
workflow_config = OpenMetadataWorkflowConfig(
|
|
source=WorkflowSource(
|
|
type="dataInsight",
|
|
serviceName=ingestion_pipeline.service.name,
|
|
sourceConfig=SourceConfig(), # Source Config not needed here. Configs are passed to ES Sink.
|
|
),
|
|
sink=sink,
|
|
processor=Processor(
|
|
type="data-insight-processor",
|
|
config={},
|
|
),
|
|
workflowConfig=WorkflowConfig(
|
|
loggerLevel=ingestion_pipeline.loggerLevel or LogLevels.INFO,
|
|
openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection,
|
|
),
|
|
ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.__root__,
|
|
)
|
|
|
|
return workflow_config
|
|
|
|
|
|
def build_data_insight_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
|
|
"""Build a simple Data Insight DAG"""
|
|
workflow_config = build_data_insight_workflow_config(ingestion_pipeline)
|
|
dag = build_dag(
|
|
task_name="data_insight_task",
|
|
ingestion_pipeline=ingestion_pipeline,
|
|
workflow_config=workflow_config,
|
|
workflow_fn=data_insight_workflow,
|
|
)
|
|
|
|
return dag
|