From 2b6a375563a41788536f70552bde1d93b056ed01 Mon Sep 17 00:00:00 2001
From: Paul Gierz <pgierz@awi.de>
Date: Thu, 9 Jan 2025 15:07:41 +0100
Subject: [PATCH] wip

---
 src/pymorize/cmorizer.py | 38 +++++++++++++++++++-------------------
 1 file changed, 19 insertions(+), 19 deletions(-)

diff --git a/src/pymorize/cmorizer.py b/src/pymorize/cmorizer.py
index 2648632..7f1bb46 100644
--- a/src/pymorize/cmorizer.py
+++ b/src/pymorize/cmorizer.py
@@ -554,20 +554,24 @@ def check_rules_for_output_dir(self, output_dir):
                     logger.warning(filepath)
 
     def process(self, parallel=None):
-        logger.debug("Process start!")
-        self._match_pipelines_in_rules()
-        if parallel is None:
-            parallel = self._pymorize_cfg.get("parallel", True)
-        if parallel:
-            logger.debug("Parallel processing...")
-            # FIXME(PG): This is mixed up, hard-coding to prefect for now...
-            workflow_backend = self._pymorize_cfg.get(
-                "pipeline_orchestrator", "prefect"
-            )
-            logger.debug(f"...with {workflow_backend}...")
-            return self.parallel_process(backend=workflow_backend)
-        else:
-            return self.serial_process()
+        with DaskContext(self._cluster):
+            # We encapsulate the flow in a context manager to ensure that the
+            # Dask cluster is available in the singleton, which could be used
+            # during unpickling to reattach it to a Pipeline.
+            logger.debug("Process start!")
+            self._match_pipelines_in_rules()
+            if parallel is None:
+                parallel = self._pymorize_cfg.get("parallel", True)
+            if parallel:
+                logger.debug("Parallel processing...")
+                # FIXME(PG): This is mixed up, hard-coding to prefect for now...
+                workflow_backend = self._pymorize_cfg.get(
+                    "pipeline_orchestrator", "prefect"
+                )
+                logger.debug(f"...with {workflow_backend}...")
+                return self.parallel_process(backend=workflow_backend)
+            else:
+                return self.serial_process()
 
     def parallel_process(self, backend="prefect"):
         if backend == "prefect":
@@ -595,11 +599,7 @@ def dynamic_flow():
         logger.debug("...done!")
 
         logger.debug("About to return dynamic_flow()...")
-        with DaskContext(self._cluster):
-            # We encapsulate the flow in a context manager to ensure that the
-            # Dask cluster is available in the singleton, which could be used
-            # during unpickling to reattach it to a Pipeline.
-            return dynamic_flow()
+        return dynamic_flow()
 
     def _parallel_process_dask(self, external_client=None):
         if external_client: