1 # Copyright (C) The Arvados Authors. All rights reserved.
3 # SPDX-License-Identifier: Apache-2.0
5 from past.builtins import basestring
6 from future.utils import viewitems
13 from schema_salad.sourceline import SourceLine, cmap
14 import schema_salad.ref_resolver
16 from cwltool.pack import pack
17 from cwltool.load_tool import fetch_document, resolve_and_validate_document
18 from cwltool.process import shortname
19 from cwltool.workflow import Workflow, WorkflowException, WorkflowStep
20 from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, visit_class
21 from cwltool.context import LoadingContext
23 import ruamel.yaml as yaml
25 from .runner import (upload_dependencies, packed_workflow, upload_workflow_collection,
26 trim_anonymous_location, remove_redundant_fields, discover_secondary_files,
28 from .pathmapper import ArvPathMapper, trim_listing
29 from .arvtool import ArvadosCommandTool, set_cluster_target
31 from .perf import Perf
33 logger = logging.getLogger('arvados.cwl-runner')
34 metrics = logging.getLogger('arvados.cwl-runner.metrics')
36 max_res_pars = ("coresMin", "coresMax", "ramMin", "ramMax", "tmpdirMin", "tmpdirMax")
37 sum_res_pars = ("outdirMin", "outdirMax")
39 def upload_workflow(arvRunner, tool, job_order, project_uuid, uuid=None,
40 submit_runner_ram=0, name=None, merged_map=None):
42 packed = packed_workflow(arvRunner, tool, merged_map)
44 adjustDirObjs(job_order, trim_listing)
45 adjustFileObjs(job_order, trim_anonymous_location)
46 adjustDirObjs(job_order, trim_anonymous_location)
48 main = [p for p in packed["$graph"] if p["id"] == "#main"][0]
49 for inp in main["inputs"]:
50 sn = shortname(inp["id"])
52 inp["default"] = job_order[sn]
55 name = tool.tool.get("label", os.path.basename(tool.tool["id"]))
57 upload_dependencies(arvRunner, name, tool.doc_loader,
58 packed, tool.tool["id"], False)
61 hints = main.get("hints", [])
64 if h["class"] == "http://arvados.org/cwl#WorkflowRunnerResources":
65 h["ramMin"] = submit_runner_ram
69 hints.append({"class": "http://arvados.org/cwl#WorkflowRunnerResources",
70 "ramMin": submit_runner_ram})
76 "description": tool.tool.get("doc", ""),
77 "definition":json.dumps(packed, sort_keys=True, indent=4, separators=(',',': '))
80 body["workflow"]["owner_uuid"] = project_uuid
83 call = arvRunner.api.workflows().update(uuid=uuid, body=body)
85 call = arvRunner.api.workflows().create(body=body)
86 return call.execute(num_retries=arvRunner.num_retries)["uuid"]
90 for r in reversed(reqs):
91 if r["class"] not in dedup and not r["class"].startswith("http://arvados.org/cwl#"):
93 return [dedup[r] for r in sorted(dedup.keys())]
95 def get_overall_res_req(res_reqs):
96 """Take the overall of a list of ResourceRequirement,
97 i.e., the max of coresMin, coresMax, ramMin, ramMax, tmpdirMin, tmpdirMax
98 and the sum of outdirMin, outdirMax."""
102 for a in max_res_pars + sum_res_pars:
104 for res_req in res_reqs:
106 if isinstance(res_req[a], int): # integer check
107 all_res_req[a].append(res_req[a])
109 msg = SourceLine(res_req, a).makeError(
110 "Non-top-level ResourceRequirement in single container cannot have expressions")
111 exception_msgs.append(msg)
113 raise WorkflowException("\n".join(exception_msgs))
116 for a in all_res_req:
118 if a in max_res_pars:
119 overall_res_req[a] = max(all_res_req[a])
120 elif a in sum_res_pars:
121 overall_res_req[a] = sum(all_res_req[a])
123 overall_res_req["class"] = "ResourceRequirement"
124 return cmap(overall_res_req)
126 class ArvadosWorkflowStep(WorkflowStep):
128 toolpath_object, # type: Dict[Text, Any]
130 loadingContext, # type: LoadingContext
134 ): # type: (...) -> None
136 super(ArvadosWorkflowStep, self).__init__(toolpath_object, pos, loadingContext, *argc, **argv)
137 self.tool["class"] = "WorkflowStep"
138 self.arvrunner = arvrunner
140 def job(self, joborder, output_callback, runtimeContext):
141 runtimeContext = runtimeContext.copy()
142 runtimeContext.toplevel = True # Preserve behavior for #13365
144 builder = make_builder({shortname(k): v for k,v in viewitems(joborder)}, self.hints, self.requirements, runtimeContext)
145 runtimeContext = set_cluster_target(self.tool, self.arvrunner, builder, runtimeContext)
146 return super(ArvadosWorkflowStep, self).job(joborder, output_callback, runtimeContext)
149 class ArvadosWorkflow(Workflow):
150 """Wrap cwltool Workflow to override selected methods."""
152 def __init__(self, arvrunner, toolpath_object, loadingContext):
153 self.arvrunner = arvrunner
155 self.dynamic_resource_req = []
156 self.static_resource_req = []
157 self.wf_reffiles = []
158 self.loadingContext = loadingContext
159 super(ArvadosWorkflow, self).__init__(toolpath_object, loadingContext)
160 self.cluster_target_req, _ = self.get_requirement("http://arvados.org/cwl#ClusterTarget")
162 def job(self, joborder, output_callback, runtimeContext):
164 builder = make_builder(joborder, self.hints, self.requirements, runtimeContext)
165 runtimeContext = set_cluster_target(self.tool, self.arvrunner, builder, runtimeContext)
167 req, _ = self.get_requirement("http://arvados.org/cwl#RunInSingleContainer")
169 return super(ArvadosWorkflow, self).job(joborder, output_callback, runtimeContext)
171 # RunInSingleContainer is true
173 with SourceLine(self.tool, None, WorkflowException, logger.isEnabledFor(logging.DEBUG)):
174 if "id" not in self.tool:
175 raise WorkflowException("%s object must have 'id'" % (self.tool["class"]))
177 discover_secondary_files(self.arvrunner.fs_access, builder,
178 self.tool["inputs"], joborder)
180 with Perf(metrics, "subworkflow upload_deps"):
181 upload_dependencies(self.arvrunner,
182 os.path.basename(joborder.get("id", "#")),
185 joborder.get("id", "#"),
188 if self.wf_pdh is None:
189 ### We have to reload the document to get the original version.
191 # The workflow document we have in memory right now was
192 # updated to the internal CWL version. We need to reload the
193 # document to go back to its original version, because the
194 # version of cwltool installed in the user's container is
195 # likely to reject our internal version, and we don't want to
196 # break existing workflows.
198 # What's going on here is that the updater replaces the
199 # documents/fragments in the index with updated ones, the
200 # index is also used as a cache, so we need to go through the
201 # loading process with an empty index and updating turned off
202 # so we have the original un-updated documents.
204 loadingContext = self.loadingContext.copy()
205 loadingContext.do_update = False
206 document_loader = schema_salad.ref_resolver.SubLoader(loadingContext.loader)
207 loadingContext.loader = document_loader
208 loadingContext.loader.idx = {}
209 uri = self.tool["id"]
210 loadingContext, workflowobj, uri = fetch_document(uri, loadingContext)
211 loadingContext, uri = resolve_and_validate_document(
212 loadingContext, workflowobj, uri
214 workflowobj, metadata = loadingContext.loader.resolve_ref(uri)
217 workflowobj["requirements"] = dedup_reqs(self.requirements)
218 workflowobj["hints"] = dedup_reqs(self.hints)
220 packed = pack(document_loader, workflowobj, uri, metadata)
223 for t in ("hints", "requirements"):
227 if req["class"] == "ResourceRequirement":
229 for k in max_res_pars + sum_res_pars:
231 if isinstance(req[k], basestring):
232 if item["id"] == "#main":
233 # only the top-level requirements/hints may contain expressions
234 self.dynamic_resource_req.append(req)
238 with SourceLine(req, k, WorkflowException):
239 raise WorkflowException("Non-top-level ResourceRequirement in single container cannot have expressions")
241 self.static_resource_req.append(req)
242 if req["class"] == "DockerRequirement":
243 if "http://arvados.org/cwl#dockerCollectionPDH" in req:
244 del req["http://arvados.org/cwl#dockerCollectionPDH"]
246 visit_class(packed["$graph"], ("Workflow", "CommandLineTool"), visit)
248 if self.static_resource_req:
249 self.static_resource_req = [get_overall_res_req(self.static_resource_req)]
251 upload_dependencies(self.arvrunner,
258 # Discover files/directories referenced by the
259 # workflow (mainly "default" values)
260 visit_class(packed, ("File", "Directory"), self.wf_reffiles.append)
263 if self.dynamic_resource_req:
264 # Evaluate dynamic resource requirements using current builder
265 rs = copy.copy(self.static_resource_req)
266 for dyn_rs in self.dynamic_resource_req:
267 eval_req = {"class": "ResourceRequirement"}
268 for a in max_res_pars + sum_res_pars:
270 eval_req[a] = builder.do_eval(dyn_rs[a])
272 job_res_reqs = [get_overall_res_req(rs)]
274 job_res_reqs = self.static_resource_req
276 with Perf(metrics, "subworkflow adjust"):
277 joborder_resolved = copy.deepcopy(joborder)
278 joborder_keepmount = copy.deepcopy(joborder)
281 visit_class(joborder_keepmount, ("File", "Directory"), reffiles.append)
283 mapper = ArvPathMapper(self.arvrunner, reffiles+self.wf_reffiles, runtimeContext.basedir,
287 # For containers API, we need to make sure any extra
288 # referenced files (ie referenced by the workflow but
289 # not in the inputs) are included in the mounts.
291 runtimeContext = runtimeContext.copy()
292 runtimeContext.extra_reffiles = copy.deepcopy(self.wf_reffiles)
295 remove_redundant_fields(obj)
296 with SourceLine(obj, None, WorkflowException, logger.isEnabledFor(logging.DEBUG)):
297 if "location" not in obj:
298 raise WorkflowException("%s object is missing required 'location' field: %s" % (obj["class"], obj))
299 with SourceLine(obj, "location", WorkflowException, logger.isEnabledFor(logging.DEBUG)):
300 if obj["location"].startswith("keep:"):
301 obj["location"] = mapper.mapper(obj["location"]).target
304 elif obj["location"].startswith("_:"):
307 raise WorkflowException("Location is not a keep reference or a literal: '%s'" % obj["location"])
309 visit_class(joborder_keepmount, ("File", "Directory"), keepmount)
312 if obj["location"].startswith("keep:"):
313 obj["location"] = mapper.mapper(obj["location"]).resolved
315 visit_class(joborder_resolved, ("File", "Directory"), resolved)
317 if self.wf_pdh is None:
318 adjustFileObjs(packed, keepmount)
319 adjustDirObjs(packed, keepmount)
320 self.wf_pdh = upload_workflow_collection(self.arvrunner, shortname(self.tool["id"]), packed)
322 self.loadingContext = self.loadingContext.copy()
323 self.loadingContext.metadata = self.loadingContext.metadata.copy()
324 self.loadingContext.metadata["http://commonwl.org/cwltool#original_cwlVersion"] = "v1.0"
326 if len(job_res_reqs) == 1:
327 # RAM request needs to be at least 128 MiB or the workflow
328 # runner itself won't run reliably.
329 if job_res_reqs[0].get("ramMin", 1024) < 128:
330 job_res_reqs[0]["ramMin"] = 128
333 "class": "CommandLineTool",
334 "baseCommand": "cwltool",
335 "inputs": self.tool["inputs"],
336 "outputs": self.tool["outputs"],
337 "stdout": "cwl.output.json",
338 "requirements": self.requirements+job_res_reqs+[
339 {"class": "InlineJavascriptRequirement"},
341 "class": "InitialWorkDirRequirement",
343 "entryname": "workflow.cwl",
344 "entry": '$({"class": "File", "location": "keep:%s/workflow.cwl"})' % self.wf_pdh
346 "entryname": "cwl.input.yml",
347 "entry": json.dumps(joborder_keepmount, indent=2, sort_keys=True, separators=(',',': ')).replace("\\", "\\\\").replace('$(', '\$(').replace('${', '\${')
351 "arguments": ["--no-container", "--move-outputs", "--preserve-entire-environment", "workflow.cwl#main", "cwl.input.yml"],
354 return ArvadosCommandTool(self.arvrunner, wf_runner, self.loadingContext).job(joborder_resolved, output_callback, runtimeContext)
356 def make_workflow_step(self,
357 toolpath_object, # type: Dict[Text, Any]
359 loadingContext, # type: LoadingContext
363 # (...) -> WorkflowStep
364 return ArvadosWorkflowStep(toolpath_object, pos, loadingContext, self.arvrunner, *argc, **argv)