11419: Read JSON files in binary mode.
[arvados.git] / sdk / cwl / arvados_cwl / executor.py
index 100096ab17df5f736b8de482b8c73f1af7f413c9..27774b2f7cf6bd1fbb9bd8474f5dde4e7e4d6d51 100644 (file)
@@ -559,7 +559,8 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
                                       uuid=existing_uuid,
                                       submit_runner_ram=runtimeContext.submit_runner_ram,
                                       name=runtimeContext.name,
-                                      merged_map=merged_map)
+                                      merged_map=merged_map,
+                                      loadingContext=loadingContext)
                 tmpl.save()
                 # cwltool.main will write our return value to stdout.
                 return (tmpl.uuid, "success")
@@ -618,11 +619,8 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
             if self.work_api == "containers":
                 if tool.tool["class"] == "CommandLineTool" and runtimeContext.wait and (not runtimeContext.always_submit_runner):
                     runtimeContext.runnerjob = tool.tool["id"]
-                    runnerjob = tool.job(job_order,
-                                         self.output_callback,
-                                         runtimeContext).next()
                 else:
-                    runnerjob = RunnerContainer(self, tool, job_order, runtimeContext.enable_reuse,
+                    tool = RunnerContainer(self, tool, loadingContext, runtimeContext.enable_reuse,
                                                 self.output_name,
                                                 self.output_tags,
                                                 submit_runner_ram=runtimeContext.submit_runner_ram,
@@ -636,7 +634,7 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
                                                 collection_cache_size=runtimeContext.collection_cache_size,
                                                 collection_cache_is_default=self.should_estimate_cache_size)
             elif self.work_api == "jobs":
-                runnerjob = RunnerJob(self, tool, job_order, runtimeContext.enable_reuse,
+                tool = RunnerJob(self, tool, loadingContext, runtimeContext.enable_reuse,
                                       self.output_name,
                                       self.output_tags,
                                       submit_runner_ram=runtimeContext.submit_runner_ram,
@@ -654,10 +652,16 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
                     "state": "RunningOnClient"}).execute(num_retries=self.num_retries)
             logger.info("Pipeline instance %s", self.pipeline["uuid"])
 
-        if runnerjob and not runtimeContext.wait:
-            submitargs = runtimeContext.copy()
-            submitargs.submit = False
-            runnerjob.run(submitargs)
+        if runtimeContext.cwl_runner_job is not None:
+            self.uuid = runtimeContext.cwl_runner_job.get('uuid')
+
+        jobiter = tool.job(job_order,
+                           self.output_callback,
+                           runtimeContext)
+
+        if runtimeContext.submit and not runtimeContext.wait:
+            runnerjob = jobiter.next()
+            runnerjob.run(runtimeContext)
             return (runnerjob.uuid, "success")
 
         current_container = arvados_cwl.util.get_current_container(self.api, self.num_retries, logger)
@@ -672,14 +676,6 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
 
         try:
             self.workflow_eval_lock.acquire()
-            if runnerjob:
-                jobiter = iter((runnerjob,))
-            else:
-                if runtimeContext.cwl_runner_job is not None:
-                    self.uuid = runtimeContext.cwl_runner_job.get('uuid')
-                jobiter = tool.job(job_order,
-                                   self.output_callback,
-                                   runtimeContext)
 
             # Holds the lock while this code runs and releases it when
             # it is safe to do so in self.workflow_eval_lock.wait(),
@@ -728,8 +724,10 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
             if self.pipeline:
                 self.api.pipeline_instances().update(uuid=self.pipeline["uuid"],
                                                      body={"state": "Failed"}).execute(num_retries=self.num_retries)
-            if runnerjob and runnerjob.uuid and self.work_api == "containers":
-                self.api.container_requests().update(uuid=runnerjob.uuid,
+            if runtimeContext.submit and isinstance(tool, Runner):
+                runnerjob = tool
+                if runnerjob.uuid and self.work_api == "containers":
+                    self.api.container_requests().update(uuid=runnerjob.uuid,
                                                      body={"priority": "0"}).execute(num_retries=self.num_retries)
         finally:
             self.workflow_eval_lock.release()
@@ -744,8 +742,8 @@ http://doc.arvados.org/install/install-api-server.html#disable_api_methods
         if self.final_output is None:
             raise WorkflowException("Workflow did not return a result.")
 
-        if runtimeContext.submit and isinstance(runnerjob, Runner):
-            logger.info("Final output collection %s", runnerjob.final_output)
+        if runtimeContext.submit and isinstance(tool, Runner):
+            logger.info("Final output collection %s", tool.final_output)
         else:
             if self.output_name is None:
                 self.output_name = "Output of %s" % (shortname(tool.tool["id"]))