feat(workflows): use PreprocessOutputs dataclass

Signed-off-by: Cameron Smith <[email protected]>

src/pyrovelocity/workflows/main_workflow.py

@@ -26,6 +26,7 @@
     PYROVELOCITY_DATA_SUBSET,
     PostprocessConfiguration,
     PostprocessOutputs,
+    PreprocessOutputs,
     ResourcesJSON,
     SummarizeOutputs,
     TrainingOutputs,
@@ -78,7 +79,7 @@ def download_data(download_dataset_args: DownloadDatasetInterface) -> FlyteFile:
     """
     dataset_path = download_dataset(**asdict(download_dataset_args))
     print(f"\nFlyte download data path: {dataset_path}\n")
-    return FlyteFile(path=dataset_path)
+    return FlyteFile(path=str(dataset_path))
 
 
 @task(
@@ -93,19 +94,22 @@ def download_data(download_dataset_args: DownloadDatasetInterface) -> FlyteFile:
 )
 def preprocess_data(
     data: FlyteFile, preprocess_data_args: PreprocessDataInterface
-) -> FlyteFile:
+) -> PreprocessOutputs:
     """
     Download external data.
     """
     data_path = data.download()
     print(f"\nFlyte preprocess input data path: {data_path}\n")
     preprocess_data_args.adata = str(data_path)
-    _, processed_dataset_path = preprocess_dataset(
+    _, processed_dataset_path, processed_reports_path = preprocess_dataset(
         **asdict(preprocess_data_args),
     )
 
     print(f"\nFlyte preprocess output data path: {processed_dataset_path}\n")
-    return FlyteFile(path=processed_dataset_path)
+    return PreprocessOutputs(
+        processed_data=FlyteFile(path=str(processed_dataset_path)),
+        processed_reports=FlyteDirectory(path=str(processed_reports_path)),
+    )
 
 
 @task(
@@ -121,13 +125,13 @@ def preprocess_data(
     enable_deck=False,
 )
 def train_model(
-    processed_data: FlyteFile,
+    preprocess_outputs: PreprocessOutputs,
     train_model_configuration: PyroVelocityTrainInterface,
 ) -> TrainingOutputs:
     """
     Train model.
     """
-    processed_data_path = processed_data.download()
+    processed_data_path = preprocess_outputs.processed_data.download()
     print(f"\nFlyte train model input data path: {processed_data_path}\n")
     train_model_configuration.adata = str(processed_data_path)
     (
@@ -158,12 +162,12 @@ def train_model(
     return TrainingOutputs(
         data_model=data_model,
         data_model_path=data_model_path,
-        trained_data_path=FlyteFile(path=trained_data_path),
-        model_path=FlyteDirectory(path=model_path),
-        posterior_samples_path=FlyteFile(path=posterior_samples_path),
-        metrics_path=FlyteFile(path=metrics_path),
-        run_info_path=FlyteFile(path=run_info_path),
-        loss_plot_path=FlyteFile(path=loss_plot_path),
+        trained_data_path=FlyteFile(path=str(trained_data_path)),
+        model_path=FlyteDirectory(path=str(model_path)),
+        posterior_samples_path=FlyteFile(path=str(posterior_samples_path)),
+        metrics_path=FlyteFile(path=str(metrics_path)),
+        run_info_path=FlyteFile(path=str(run_info_path)),
+        loss_plot_path=FlyteFile(path=str(loss_plot_path)),
     )
 
 
@@ -203,8 +207,8 @@ def postprocess_data(
     )
 
     return PostprocessOutputs(
-        pyrovelocity_data=FlyteFile(path=pyrovelocity_data_path),
-        postprocessed_data=FlyteFile(path=postprocessed_data_path),
+        pyrovelocity_data=FlyteFile(path=str(pyrovelocity_data_path)),
+        postprocessed_data=FlyteFile(path=str(postprocessed_data_path)),
     )
 
 
@@ -249,8 +253,8 @@ def summarize_data(
         f"\ndataframe_path: {dataframe_path}\n\n",
     )
     return SummarizeOutputs(
-        data_model_reports=FlyteDirectory(path=data_model_reports_path),
-        dataframe=FlyteFile(path=dataframe_path),
+        data_model_reports=FlyteDirectory(path=str(data_model_reports_path)),
+        dataframe=FlyteFile(path=str(dataframe_path)),
     )
 
 
@@ -347,7 +351,7 @@ def map_model_configurations_over_data_set(
         list[FlyteFile]: Workflow outputs as flytekit.types.file.FlyteFile objects.
     """
     data = download_data(download_dataset_args=download_dataset_args)
-    processed_data = preprocess_data(
+    processed_outputs = preprocess_data(
         data=data, preprocess_data_args=preprocess_data_args
     )
 
@@ -360,7 +364,7 @@ def map_model_configurations_over_data_set(
     dataset_summaries: list[SummarizeOutputs] = []
     for train_model_configuration in train_model_configurations:
         model_output = train_model(
-            processed_data=processed_data,
+            preprocess_outputs=processed_outputs,
             train_model_configuration=train_model_configuration,
         ).with_overrides(
             requests=Resources(**asdict(train_model_resource_requests)),