JobConfiguration type

python/hsfs/core/deltastreamer_jobconf.py

@@ -16,15 +16,25 @@
 from __future__ import annotations
 
 import json
+from typing import Dict, Optional, Union
 
 from hsfs import util
 from hsfs.core.job_configuration import JobConfiguration
 
 
 class DeltaStreamerJobConf:
-    def __init__(self, options, spark_options, **kwargs):
+    def __init__(
+            self,
+            options,
+            spark_options: Optional[Union[JobConfiguration, Dict]],
+            **kwargs
+    ):
         self._options = options
-        self._spark_options = JobConfiguration(**spark_options if spark_options else {}).to_dict()
+
+        if isinstance(spark_options, JobConfiguration):
+            self._spark_options = spark_options
+        elif isinstance(spark_options, dict):
+            self._spark_options = JobConfiguration(**spark_options if spark_options else {}).to_dict()
 
     def to_dict(self):
         return {

python/hsfs/core/ingestion_job_conf.py

@@ -16,20 +16,28 @@
 from __future__ import annotations
 
 import json
+from typing import Dict, Optional, Union
 
 from hsfs import util
 from hsfs.core.job_configuration import JobConfiguration
 
 
 class IngestionJobConf:
     def __init__(
-        self, data_format, data_options, write_options, spark_job_configuration
+        self,
+        data_format,
+        data_options,
+        write_options,
+        spark_job_configuration: Optional[Union[JobConfiguration, Dict]]
     ):
         self._data_format = data_format
         self._data_options = data_options
         self._write_options = write_options
 
-        self._spark_job_configuration = JobConfiguration(**spark_job_configuration if spark_job_configuration else {}).to_dict(),
+        if isinstance(spark_job_configuration, JobConfiguration):
+            self._spark_job_configuration = spark_job_configuration
+        elif isinstance(spark_job_configuration, dict):
+            self._spark_job_configuration = JobConfiguration(**spark_job_configuration if spark_job_configuration else {}).to_dict()
 
     @property
     def data_format(self):

python/hsfs/core/training_dataset_job_conf.py

@@ -16,18 +16,28 @@
 from __future__ import annotations
 
 import json
+from typing import Dict, Optional, Union
 
 from hsfs import util
 from hsfs.core.job_configuration import JobConfiguration
 
 
 class TrainingDatasetJobConf:
-    def __init__(self, query, overwrite, write_options, spark_job_configuration):
+    def __init__(
+            self,
+            query,
+            overwrite,
+            write_options,
+            spark_job_configuration: Optional[Union[JobConfiguration, Dict]]
+    ):
         self._query = query
         self._overwrite = overwrite
         self._write_options = write_options
 
-        self._spark_job_configuration = JobConfiguration(**spark_job_configuration if spark_job_configuration else {}).to_dict(),
+        if isinstance(spark_job_configuration, JobConfiguration):
+            self._spark_job_configuration = spark_job_configuration
+        elif isinstance(spark_job_configuration, dict):
+            self._spark_job_configuration = JobConfiguration(**spark_job_configuration if spark_job_configuration else {}).to_dict()
 
     @property
     def query(self):