POC write parquet files with specific filenames

focus_converter_base/focus_converter/converter.py

@@ -65,7 +65,9 @@ class FocusConverter:
     # converted column prefix to be added to converted columns
     __converted_column_prefix__: Optional[str] = None
 
-    def __init__(self, column_prefix=None, converted_column_prefix=None):
+    __basename_template__: Optional[str] = None
+
+    def __init__(self, column_prefix=None, converted_column_prefix=None, basename_template=None):
         self.__temporary_columns__ = []
         self.__column_prefix__ = column_prefix
         self.__converted_column_prefix__ = converted_column_prefix
@@ -77,6 +79,9 @@ def __init__(self, column_prefix=None, converted_column_prefix=None):
         # deferred column plans, these plans are applied after lazyframe is loaded
         self.__deferred_column_plans__ = DeferredColumnFunctions()
 
+        self.__basename_template__ = basename_template
+
+
     def load_provider_conversion_configs(self):
         plans = {}
 

focus_converter_base/focus_converter/data_loaders/data_exporter.py

@@ -6,7 +6,7 @@
 import pyarrow.parquet as pq
 
 
-def __writer_process__(export_path, queue: multiprocessing.Queue):
+def __writer_process__(export_path, queue: multiprocessing.Queue, basename_template: str):
     while True:
         try:
             df = queue.get(timeout=0.1)
@@ -17,7 +17,9 @@ def __writer_process__(export_path, queue: multiprocessing.Queue):
             break
 
         pq.write_to_dataset(
-            root_path=export_path, compression="snappy", table=df.to_arrow()
+            root_path=export_path,
+            compression="snappy", table=df.to_arrow(),
+            basename_template=basename_template
         )
 
 
@@ -26,18 +28,23 @@ def __init__(
         self,
         export_path,
         export_include_source_columns: bool,
+        basename_template: str = None,
         process_count: int = multiprocessing.cpu_count(),
     ):
         self.__export_path__ = export_path
         self.__export_include_source_columns__ = export_include_source_columns
-
+        self.__basename_template__ = basename_template
         self.__queue__ = queue = multiprocessing.Queue(maxsize=process_count)
 
         self.__processes__ = processes = []
         for _ in range(process_count):
             p = multiprocessing.Process(
                 target=__writer_process__,
-                kwargs={"queue": queue, "export_path": self.__export_path__},
+                kwargs={
+                    "queue": queue,
+                    "export_path": self.__export_path__,
+                    "basename_template": self.__basename_template__
+                },
             )
             processes.append(p)
 

focus_converter_base/focus_converter/main.py

@@ -54,6 +54,13 @@ def main_auto(
             rich_help_panel="Validation",
         ),
     ] = False,
+    basename_template: Annotated[
+        str,
+        typer.Option(
+            help="Specify a template string for output filename as opposed to `guid-{i}`.",
+            rich_help_panel="Data Export",
+        ),
+    ] = None,
 ):
     provider_sensor = ProviderSensor(base_path=data_path)
     provider_sensor.load()
@@ -70,6 +77,7 @@ def main_auto(
     converter.configure_data_export(
         export_path=export_path,
         export_include_source_columns=export_include_source_columns,
+        basename_template=basename_template,
     )
     converter.prepare_horizontal_conversion_plan(provider=provider_sensor.provider)
     converter.convert()
@@ -116,6 +124,13 @@ def main(
             rich_help_panel="Validation",
         ),
     ] = False,
+    basename_template: Annotated[
+        str,
+        typer.Option(
+            help="Specify a template string for output filename as opposed to `guid-{i}`.",
+            rich_help_panel="Data Export",
+        ),
+    ] = None,
 ):
     # compute function for conversion
 
@@ -134,6 +149,7 @@ def main(
     converter.configure_data_export(
         export_path=export_path,
         export_include_source_columns=export_include_source_columns,
+        basename_template=basename_template,
     )
     converter.prepare_horizontal_conversion_plan(provider=provider)
     converter.convert()