prepare usage config (#4279)

openmetadata-airflow-apis/src/openmetadata/workflows/ingestion/usage.py

@@ -12,26 +12,52 @@
 Metadata DAG function builder
 """
 
-from typing import Any, Dict
 
 from airflow import DAG
 from openmetadata.workflows.ingestion.common import build_ingestion_dag
 
+from metadata.generated.schema.metadataIngestion.workflow import (
+    BulkSink,
+    OpenMetadataWorkflowConfig,
+    Processor,
+    Stage,
+    WorkflowConfig,
+)
+
 try:
     from airflow.operators.python import PythonOperator
 except ModuleNotFoundError:
     from airflow.operators.python_operator import PythonOperator
 
+import tempfile
+
 from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
     IngestionPipeline,
 )
 
 
-def build_usage_workflow_config(airflow_pipeline: IngestionPipeline) -> Dict[str, Any]:
+def build_usage_workflow_config(
+    ingestion_pipeline: IngestionPipeline,
+) -> OpenMetadataWorkflowConfig:
     """
     Given an airflow_pipeline, prepare the workflow config JSON
     """
-    ...
+
+    with tempfile.NamedTemporaryFile() as tmp_file:
+
+        workflow_config = OpenMetadataWorkflowConfig(
+            source=ingestion_pipeline.source,
+            processor=Processor(type="query-parser", config={"filter": ""}),
+            stage=Stage(type="table-usage", config={"filename": tmp_file.name}),
+            bulkSink=BulkSink(
+                type="metadata-usage", config={"filename": tmp_file.name}
+            ),
+            workflowConfig=WorkflowConfig(
+                openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection
+            ),
+        )
+
+    return workflow_config
 
 
 def build_usage_dag(airflow_pipeline: IngestionPipeline) -> DAG: