mirror of
https://github.com/open-metadata/OpenMetadata.git
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116 lines
3.8 KiB
Python
116 lines
3.8 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Data Insights DAG function builder
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"""
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from typing import cast
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from airflow import DAG
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from openmetadata_managed_apis.workflows.ingestion.common import (
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ClientInitializationError,
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build_dag,
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data_insight_workflow,
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)
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from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
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IngestionPipeline,
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)
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from metadata.generated.schema.entity.services.metadataService import MetadataService
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from metadata.generated.schema.metadataIngestion.workflow import (
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LogLevels,
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OpenMetadataWorkflowConfig,
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Processor,
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Sink,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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Source as WorkflowSource,
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)
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from metadata.generated.schema.metadataIngestion.workflow import WorkflowConfig
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from metadata.generated.schema.type.basic import ComponentConfig
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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from metadata.utils.constants import ES_SOURCE_TO_ES_OBJ_ARGS
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def build_data_insight_workflow_config(
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ingestion_pipeline: IngestionPipeline,
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) -> OpenMetadataWorkflowConfig:
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"""
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Given an airflow_pipeline, prepare the workflow config JSON
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"""
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try:
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metadata = OpenMetadata(config=ingestion_pipeline.openMetadataServerConnection)
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except Exception as exc:
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raise ClientInitializationError(f"Failed to initialize the client: {exc}")
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openmetadata_service = metadata.get_by_name(
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entity=MetadataService, fqn=ingestion_pipeline.service.fullyQualifiedName
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)
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if not openmetadata_service:
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raise ValueError(
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"Could not retrieve the OpenMetadata service! This should not happen."
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)
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elasticsearch_service_config_dict = (
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openmetadata_service.connection.config.elasticsSearch.config.dict()
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)
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elasticsearch_source_config_dict = {
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ES_SOURCE_TO_ES_OBJ_ARGS[key]: value
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for key, value in ingestion_pipeline.sourceConfig.config.dict().items()
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if value and key != "type"
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}
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sink = Sink(
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type="elasticsearch",
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config=ComponentConfig(
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**elasticsearch_service_config_dict,
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**elasticsearch_source_config_dict,
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),
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)
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openmetadata_service = cast(MetadataService, openmetadata_service)
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workflow_config = OpenMetadataWorkflowConfig(
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source=WorkflowSource(
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type="dataInsight",
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serviceName=ingestion_pipeline.service.name,
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sourceConfig=ingestion_pipeline.sourceConfig,
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),
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sink=sink,
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processor=Processor(
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type="data-insight-processor",
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config={},
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),
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workflowConfig=WorkflowConfig(
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loggerLevel=ingestion_pipeline.loggerLevel or LogLevels.INFO,
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openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection,
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),
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ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.__root__,
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)
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return workflow_config
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def build_data_insight_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
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"""Build a simple Data Insight DAG"""
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workflow_config = build_data_insight_workflow_config(ingestion_pipeline)
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dag = build_dag(
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task_name="data_insight_task",
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ingestion_pipeline=ingestion_pipeline,
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workflow_config=workflow_config,
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workflow_fn=data_insight_workflow,
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)
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return dag
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