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57 lines
2.0 KiB
Python
57 lines
2.0 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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from airflow import DAG
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# these are params only used in the DAG factory, not in the tasks
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from openmetadata_managed_apis.utils.logger import workflow_logger
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from openmetadata_managed_apis.workflows.ingestion.registry import build_registry
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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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logger = workflow_logger()
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class WorkflowBuilder:
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"""
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Generates tasks and a DAG from a config.
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:param workflow_config: configuration for the DAG
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"""
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def __init__(self, ingestion_pipeline: IngestionPipeline) -> None:
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self.airflow_pipeline = ingestion_pipeline
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self.dag_name: str = self.airflow_pipeline.name.__root__
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def build(self) -> DAG:
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"""
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Generates a DAG from the DAG parameters.
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:returns: dict with dag_id and DAG object
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:type: Dict[str, Union[str, DAG]]
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"""
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dag_type = self.airflow_pipeline.pipelineType.value
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build_fn = build_registry.registry.get(dag_type)
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if not build_fn:
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msg = f"Cannot find build function for {dag_type} in {build_registry.registry}"
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logger.error(msg)
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raise ValueError(msg)
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dag = build_fn(self.airflow_pipeline)
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if not isinstance(dag, DAG):
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msg = f"Invalid return type from {build_fn.__name__} when building {dag_type}."
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logger.error(msg)
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raise ValueError(msg)
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return dag
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