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# 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.
"""
ElasticSearch reindex DAG function builder
"""
from airflow import DAG
from openmetadata_managed_apis.workflows.ingestion.common import (
ClientInitializationError,
build_dag,
metadata_ingestion_workflow,
)
from metadata.generated.schema.entity.services.connections.metadata.metadataESConnection import (
MetadataESConnection,
)
from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
IngestionPipeline,
)
from metadata.generated.schema.entity.services.metadataService import (
MetadataConnection,
MetadataService,
)
from metadata.generated.schema.metadataIngestion.workflow import (
LogLevels,
OpenMetadataWorkflowConfig,
Sink,
)
from metadata.generated.schema.metadataIngestion.workflow import (
Source as WorkflowSource,
)
from metadata.generated.schema.metadataIngestion.workflow import (
SourceConfig,
WorkflowConfig,
)
from metadata.generated.schema.type.basic import ComponentConfig
from metadata.ingestion.ometa.ometa_api import OpenMetadata
def build_es_reindex_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: MetadataService = metadata.get_by_name(
entity=MetadataService, fqn=ingestion_pipeline.service.fullyQualifiedName
)
if not openmetadata_service:
raise ValueError(
"Could not retrieve the OpenMetadata service! This should not happen."
)
om_service_elasticsearch_dict = {
key: value
for key, value in openmetadata_service.connection.config.elasticsSearch.config.dict().items()
if value
}
ingestion_pipeline_elasticsearch_source_config = {
key: value
for key, value in ingestion_pipeline.sourceConfig.config.dict().items()
if value and key != "type"
}
workflow_config = OpenMetadataWorkflowConfig(
source=WorkflowSource(
type="metadata_elasticsearch",
serviceName=ingestion_pipeline.service.fullyQualifiedName,
serviceConnection=MetadataConnection(config=MetadataESConnection()),
sourceConfig=SourceConfig(),
),
sink=Sink(
type="elasticsearch",
config=ComponentConfig(
**om_service_elasticsearch_dict,
**ingestion_pipeline_elasticsearch_source_config,
),
),
workflowConfig=WorkflowConfig(
loggerLevel=ingestion_pipeline.loggerLevel or LogLevels.INFO,
openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection,
),
ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.__root__,
)
return workflow_config
def build_es_reindex_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
"""Build a simple Data Insight DAG"""
workflow_config = build_es_reindex_workflow_config(ingestion_pipeline)
dag = build_dag(
task_name="elasticsearch_reindex_task",
ingestion_pipeline=ingestion_pipeline,
workflow_config=workflow_config,
workflow_fn=metadata_ingestion_workflow,
)
return dag