6 from cwltool.pack import pack
7 from cwltool.load_tool import fetch_document
8 from cwltool.process import shortname
9 from cwltool.workflow import Workflow, WorkflowException
10 from cwltool.pathmapper import adjustFileObjs, adjustDirObjs
12 import ruamel.yaml as yaml
14 from .runner import upload_docker, upload_dependencies, trim_listing
15 from .arvtool import ArvadosCommandTool
16 from .perf import Perf
18 logger = logging.getLogger('arvados.cwl-runner')
19 metrics = logging.getLogger('arvados.cwl-runner.metrics')
21 def upload_workflow(arvRunner, tool, job_order, project_uuid, update_uuid):
22 upload_docker(arvRunner, tool)
24 document_loader, workflowobj, uri = (tool.doc_loader, tool.doc_loader.fetch(tool.tool["id"]), tool.tool["id"])
26 packed = pack(document_loader, workflowobj, uri, tool.metadata)
28 adjustDirObjs(job_order, trim_listing)
30 main = [p for p in packed["$graph"] if p["id"] == "#main"][0]
31 for inp in main["inputs"]:
32 sn = shortname(inp["id"])
34 inp["default"] = job_order[sn]
36 name = os.path.basename(tool.tool["id"])
37 upload_dependencies(arvRunner, name, document_loader,
42 "owner_uuid": project_uuid,
43 "name": tool.tool.get("label", name),
44 "description": tool.tool.get("doc", ""),
45 "definition":yaml.safe_dump(packed)
49 return arvRunner.api.workflows().update(uuid=update_uuid, body=body).execute(num_retries=arvRunner.num_retries)["uuid"]
51 return arvRunner.api.workflows().create(body=body).execute(num_retries=arvRunner.num_retries)["uuid"]
53 class ArvadosWorkflow(Workflow):
54 """Wrap cwltool Workflow to override selected methods."""
56 def __init__(self, arvrunner, toolpath_object, **kwargs):
57 super(ArvadosWorkflow, self).__init__(toolpath_object, **kwargs)
58 self.arvrunner = arvrunner
59 self.work_api = kwargs["work_api"]
61 def job(self, joborder, output_callback, **kwargs):
62 kwargs["work_api"] = self.work_api
63 req, _ = self.get_requirement("http://arvados.org/cwl#RunInSingleContainer")
65 document_loader, workflowobj, uri = (self.doc_loader, self.doc_loader.fetch(self.tool["id"]), self.tool["id"])
67 with Perf(metrics, "subworkflow upload_deps"):
68 workflowobj["requirements"] = self.requirements + workflowobj.get("requirements", [])
69 workflowobj["hints"] = self.hints + workflowobj.get("hints", [])
70 packed = pack(document_loader, workflowobj, uri, self.metadata)
72 upload_dependencies(self.arvrunner,
73 kwargs.get("name", ""),
79 upload_dependencies(self.arvrunner,
80 os.path.basename(joborder.get("id", "#")),
83 joborder.get("id", "#"),
86 with Perf(metrics, "subworkflow adjust"):
87 joborder_keepmount = copy.deepcopy(joborder)
90 if "location" not in obj:
91 raise WorkflowException("%s object is missing required 'location' field: %s" % (obj["class"], obj))
92 if obj["location"].startswith("keep:"):
93 obj["location"] = "/keep/" + obj["location"][5:]
96 elif obj["location"].startswith("_:"):
99 raise WorkflowException("Location is not a keep reference or a literal: '%s'" % obj["location"])
101 adjustFileObjs(joborder_keepmount, keepmount)
102 adjustDirObjs(joborder_keepmount, keepmount)
103 adjustFileObjs(packed, keepmount)
104 adjustDirObjs(packed, keepmount)
107 "class": "CommandLineTool",
108 "baseCommand": "cwltool",
109 "inputs": self.tool["inputs"],
110 "outputs": self.tool["outputs"],
111 "stdout": "cwl.output.json",
112 "requirements": workflowobj["requirements"]+[
114 "class": "InitialWorkDirRequirement",
116 "entryname": "workflow.cwl",
117 "entry": yaml.safe_dump(packed).replace("\\", "\\\\").replace('$(', '\$(').replace('${', '\${')
119 "entryname": "cwl.input.yml",
120 "entry": yaml.safe_dump(joborder_keepmount).replace("\\", "\\\\").replace('$(', '\$(').replace('${', '\${')
123 "hints": workflowobj["hints"],
124 "arguments": ["--no-container", "--move-outputs", "--preserve-entire-environment", "workflow.cwl#main", "cwl.input.yml"]
126 kwargs["loader"] = self.doc_loader
127 kwargs["avsc_names"] = self.doc_schema
128 return ArvadosCommandTool(self.arvrunner, wf_runner, **kwargs).job(joborder, output_callback, **kwargs)
130 return super(ArvadosWorkflow, self).job(joborder, output_callback, **kwargs)