diff --git a/docker_scripts/parallelrunner.py b/docker_scripts/parallelrunner.py
index 76365ba..868bbfb 100755
--- a/docker_scripts/parallelrunner.py
+++ b/docker_scripts/parallelrunner.py
@@ -174,7 +174,7 @@ def run_input_tasks(self, input_tasks, tasks_uuid):
         )
 
         for output_batch in output_batches:
-            output_batch_tasks = output_batch['tasks']
+            output_batch_tasks = output_batch["tasks"]
 
             for output_task_i, output_task in output_batch_tasks:
                 output_tasks[output_task_i] = output_task
@@ -189,15 +189,14 @@ def run_input_tasks(self, input_tasks, tasks_uuid):
         logger.debug(f"Finished a set of tasks: {output_tasks_content}")
 
     def batch_input_tasks(self, input_tasks, n_of_batches):
-        batches = [{'batch_i': None,'tasks':[]} for _ in range(n_of_batches)]
+        batches = [{"batch_i": None, "tasks": []} for _ in range(n_of_batches)]
 
         for task_i, input_task in enumerate(input_tasks):
             batch_id = task_i % n_of_batches
-            batches[batch_id]['batch_i'] = batch_id
-            batches[batch_id]['tasks'].append((task_i, input_task))
+            batches[batch_id]["batch_i"] = batch_id
+            batches[batch_id]["tasks"].append((task_i, input_task))
         return batches
 
-
     def create_job_inputs(self, input):
         """Create job inputs"""
 
@@ -208,21 +207,21 @@ def create_job_inputs(self, input):
             param_value = param_input["value"]
             if param_type == "FileJSON":
                 param_filename = param_input["filename"]
-                tmp_dir = tempfile.TemporaryDirectory()
-                tmp_dir_path = pl.Path(tmp_dir.name)
-                tmp_input_file_path = tmp_dir_path / param_filename
-                tmp_input_file_path.write_text(json.dumps(param_value))
+                with tempfile.TemporaryDirectory() as tmp_dir:
+                    tmp_dir_path = pl.Path(tmp_dir)
+                    tmp_input_file_path = tmp_dir_path / param_filename
+                    tmp_input_file_path.write_text(json.dumps(param_value))
 
-                if self.test_mode:
-                    processed_param_value = f"File json: {param_value}"
-                else:
-                    logger.info("Calling upload file api for job input")
-                    with self.lock:
-                        input_data_file = osparc.FilesApi(
-                            self.api_client
-                        ).upload_file(file=tmp_input_file_path)
-                    logger.info("File upload for job input done")
-                    processed_param_value = input_data_file
+                    if self.test_mode:
+                        processed_param_value = f"File json: {param_value}"
+                    else:
+                        logger.info("Calling upload file api for job input")
+                        with self.lock:
+                            input_data_file = osparc.FilesApi(
+                                self.api_client
+                            ).upload_file(file=tmp_input_file_path)
+                        logger.info("File upload for job input done")
+                        processed_param_value = input_data_file
             elif param_type == "file":
                 file_info = json.loads(param_value)
                 if self.test_mode:
@@ -247,9 +246,11 @@ def create_job_inputs(self, input):
 
         return job_inputs
 
-    async def run_job(self, job_inputs, input_batch):
+    async def run_job(self, task_input, input_batch):
         """Run a job with given inputs"""
 
+        job_inputs = self.create_job_inputs(task_input)
+
         logger.debug(f"Sending inputs: {job_inputs}")
         if self.test_mode:
             import datetime
@@ -466,7 +467,8 @@ async def async_map_func(batch_with_uuid, trial_number=1):
             batch_uuid, batch = batch_with_uuid
             try:
                 logger.info(
-                    "Running worker for a batch of " f"{len(batch)} tasks"
+                    "Running worker for a batch of "
+                    f"{len(batch["tasks"])} tasks"
                 )
                 logger.debug(f"Running worker for batch: {batch}")
                 self.jobs_file_write_status_change(
@@ -476,8 +478,6 @@ async def async_map_func(batch_with_uuid, trial_number=1):
 
                 task_input = self.transform_batch_to_task_input(batch)
 
-                job_inputs = self.create_job_inputs(task_input)
-
                 job_timeout = (
                     self.settings.job_timeout
                     if self.settings.job_timeout > 0
@@ -485,7 +485,7 @@ async def async_map_func(batch_with_uuid, trial_number=1):
                 )
 
                 output_batch = await asyncio.wait_for(
-                    self.run_job(job_inputs, batch), timeout=job_timeout
+                    self.run_job(task_input, batch), timeout=job_timeout
                 )
 
                 self.jobs_file_write_status_change(
@@ -529,6 +529,8 @@ async def async_map_func(batch_with_uuid, trial_number=1):
                         f"Batch {batch} failed with error ("
                         f"{traceback.format_exc()}) in "
                         f"trial {trial_number}, retrying "
+                        f"{self.settings.max_job_trials-trial_number}" 
+                        " more times."
                     )
                     output_batch = map_func(
                         batch_with_uuid, trial_number=trial_number + 1