14198: Set fake 'class' so _init_job is happy
[arvados.git] / sdk / cwl / arvados_cwl / arvworkflow.py
1 # Copyright (C) The Arvados Authors. All rights reserved.
2 #
3 # SPDX-License-Identifier: Apache-2.0
4
5 import os
6 import json
7 import copy
8 import logging
9
10 from schema_salad.sourceline import SourceLine, cmap
11
12 from cwltool.pack import pack
13 from cwltool.load_tool import fetch_document
14 from cwltool.process import shortname
15 from cwltool.workflow import Workflow, WorkflowException, WorkflowStep
16 from cwltool.pathmapper import adjustFileObjs, adjustDirObjs, visit_class
17 from cwltool.builder import Builder
18 from cwltool.context import LoadingContext
19
20 import ruamel.yaml as yaml
21
22 from .runner import (upload_dependencies, packed_workflow, upload_workflow_collection,
23                      trim_anonymous_location, remove_redundant_fields, discover_secondary_files)
24 from .pathmapper import ArvPathMapper, trim_listing
25 from .arvtool import ArvadosCommandTool, check_cluster_target
26 from .perf import Perf
27
28 logger = logging.getLogger('arvados.cwl-runner')
29 metrics = logging.getLogger('arvados.cwl-runner.metrics')
30
31 max_res_pars = ("coresMin", "coresMax", "ramMin", "ramMax", "tmpdirMin", "tmpdirMax")
32 sum_res_pars = ("outdirMin", "outdirMax")
33
34 def upload_workflow(arvRunner, tool, job_order, project_uuid, uuid=None,
35                     submit_runner_ram=0, name=None, merged_map=None):
36
37     packed = packed_workflow(arvRunner, tool, merged_map)
38
39     adjustDirObjs(job_order, trim_listing)
40     adjustFileObjs(job_order, trim_anonymous_location)
41     adjustDirObjs(job_order, trim_anonymous_location)
42
43     main = [p for p in packed["$graph"] if p["id"] == "#main"][0]
44     for inp in main["inputs"]:
45         sn = shortname(inp["id"])
46         if sn in job_order:
47             inp["default"] = job_order[sn]
48
49     if not name:
50         name = tool.tool.get("label", os.path.basename(tool.tool["id"]))
51
52     upload_dependencies(arvRunner, name, tool.doc_loader,
53                         packed, tool.tool["id"], False)
54
55     if submit_runner_ram:
56         hints = main.get("hints", [])
57         found = False
58         for h in hints:
59             if h["class"] == "http://arvados.org/cwl#WorkflowRunnerResources":
60                 h["ramMin"] = submit_runner_ram
61                 found = True
62                 break
63         if not found:
64             hints.append({"class": "http://arvados.org/cwl#WorkflowRunnerResources",
65                           "ramMin": submit_runner_ram})
66         main["hints"] = hints
67
68     body = {
69         "workflow": {
70             "name": name,
71             "description": tool.tool.get("doc", ""),
72             "definition":json.dumps(packed, sort_keys=True, indent=4, separators=(',',': '))
73         }}
74     if project_uuid:
75         body["workflow"]["owner_uuid"] = project_uuid
76
77     if uuid:
78         call = arvRunner.api.workflows().update(uuid=uuid, body=body)
79     else:
80         call = arvRunner.api.workflows().create(body=body)
81     return call.execute(num_retries=arvRunner.num_retries)["uuid"]
82
83 def dedup_reqs(reqs):
84     dedup = {}
85     for r in reversed(reqs):
86         if r["class"] not in dedup and not r["class"].startswith("http://arvados.org/cwl#"):
87             dedup[r["class"]] = r
88     return [dedup[r] for r in sorted(dedup.keys())]
89
90 def get_overall_res_req(res_reqs):
91     """Take the overall of a list of ResourceRequirement,
92     i.e., the max of coresMin, coresMax, ramMin, ramMax, tmpdirMin, tmpdirMax
93     and the sum of outdirMin, outdirMax."""
94
95     all_res_req = {}
96     exception_msgs = []
97     for a in max_res_pars + sum_res_pars:
98         all_res_req[a] = []
99         for res_req in res_reqs:
100             if a in res_req:
101                 if isinstance(res_req[a], int): # integer check
102                     all_res_req[a].append(res_req[a])
103                 else:
104                     msg = SourceLine(res_req, a).makeError(
105                     "Non-top-level ResourceRequirement in single container cannot have expressions")
106                     exception_msgs.append(msg)
107     if exception_msgs:
108         raise WorkflowException("\n".join(exception_msgs))
109     else:
110         overall_res_req = {}
111         for a in all_res_req:
112             if all_res_req[a]:
113                 if a in max_res_pars:
114                     overall_res_req[a] = max(all_res_req[a])
115                 elif a in sum_res_pars:
116                     overall_res_req[a] = sum(all_res_req[a])
117         if overall_res_req:
118             overall_res_req["class"] = "ResourceRequirement"
119         return cmap(overall_res_req)
120
121 class ArvadosWorkflowStep(WorkflowStep):
122     def __init__(self,
123                  toolpath_object,      # type: Dict[Text, Any]
124                  pos,                  # type: int
125                  loadingContext,       # type: LoadingContext
126                  *argc,
127                  **argv
128                 ):  # type: (...) -> None
129
130         super(ArvadosWorkflowStep, self).__init__(toolpath_object, pos, loadingContext, *argc, **argv)
131         self.tool["class"] = "WorkflowStep"
132
133     def job(self, joborder, output_callback, runtimeContext):
134         builder = self._init_job({shortname(k): v for k,v in joborder.items()}, runtimeContext)
135         check_cluster_target(self, builder, runtimeContext)
136         return super(ArvadosWorkflowStep, self).job(joborder, output_callback, runtimeContext)
137
138 class ArvadosWorkflow(Workflow):
139     """Wrap cwltool Workflow to override selected methods."""
140
141     def __init__(self, arvrunner, toolpath_object, loadingContext):
142         super(ArvadosWorkflow, self).__init__(toolpath_object, loadingContext)
143         self.arvrunner = arvrunner
144         self.wf_pdh = None
145         self.dynamic_resource_req = []
146         self.static_resource_req = []
147         self.wf_reffiles = []
148         self.loadingContext = loadingContext
149
150     def job(self, joborder, output_callback, runtimeContext):
151
152         builder = self._init_job(joborder, runtimeContext)
153         check_cluster_target(self, builder, runtimeContext)
154
155         req, _ = self.get_requirement("http://arvados.org/cwl#RunInSingleContainer")
156         if not req:
157             return super(ArvadosWorkflow, self).job(joborder, output_callback, runtimeContext)
158
159         # RunInSingleContainer is true
160
161         with SourceLine(self.tool, None, WorkflowException, logger.isEnabledFor(logging.DEBUG)):
162             if "id" not in self.tool:
163                 raise WorkflowException("%s object must have 'id'" % (self.tool["class"]))
164         document_loader, workflowobj, uri = (self.doc_loader, self.doc_loader.fetch(self.tool["id"]), self.tool["id"])
165
166         discover_secondary_files(self.tool["inputs"], joborder)
167
168         with Perf(metrics, "subworkflow upload_deps"):
169             upload_dependencies(self.arvrunner,
170                                 os.path.basename(joborder.get("id", "#")),
171                                 document_loader,
172                                 joborder,
173                                 joborder.get("id", "#"),
174                                 False)
175
176             if self.wf_pdh is None:
177                 workflowobj["requirements"] = dedup_reqs(self.requirements)
178                 workflowobj["hints"] = dedup_reqs(self.hints)
179
180                 packed = pack(document_loader, workflowobj, uri, self.metadata)
181
182                 def visit(item):
183                     for t in ("hints", "requirements"):
184                         if t not in item:
185                             continue
186                         for req in item[t]:
187                             if req["class"] == "ResourceRequirement":
188                                 dyn = False
189                                 for k in max_res_pars + sum_res_pars:
190                                     if k in req:
191                                         if isinstance(req[k], basestring):
192                                             if item["id"] == "#main":
193                                                 # only the top-level requirements/hints may contain expressions
194                                                 self.dynamic_resource_req.append(req)
195                                                 dyn = True
196                                                 break
197                                             else:
198                                                 with SourceLine(req, k, WorkflowException):
199                                                     raise WorkflowException("Non-top-level ResourceRequirement in single container cannot have expressions")
200                                 if not dyn:
201                                     self.static_resource_req.append(req)
202
203                 visit_class(packed["$graph"], ("Workflow", "CommandLineTool"), visit)
204
205                 if self.static_resource_req:
206                     self.static_resource_req = [get_overall_res_req(self.static_resource_req)]
207
208                 upload_dependencies(self.arvrunner,
209                                     runtimeContext.name,
210                                     document_loader,
211                                     packed,
212                                     uri,
213                                     False)
214
215                 # Discover files/directories referenced by the
216                 # workflow (mainly "default" values)
217                 visit_class(packed, ("File", "Directory"), self.wf_reffiles.append)
218
219
220         if self.dynamic_resource_req:
221             # Evaluate dynamic resource requirements using current builder
222             rs = copy.copy(self.static_resource_req)
223             for dyn_rs in self.dynamic_resource_req:
224                 eval_req = {"class": "ResourceRequirement"}
225                 for a in max_res_pars + sum_res_pars:
226                     if a in dyn_rs:
227                         eval_req[a] = builder.do_eval(dyn_rs[a])
228                 rs.append(eval_req)
229             job_res_reqs = [get_overall_res_req(rs)]
230         else:
231             job_res_reqs = self.static_resource_req
232
233         with Perf(metrics, "subworkflow adjust"):
234             joborder_resolved = copy.deepcopy(joborder)
235             joborder_keepmount = copy.deepcopy(joborder)
236
237             reffiles = []
238             visit_class(joborder_keepmount, ("File", "Directory"), reffiles.append)
239
240             mapper = ArvPathMapper(self.arvrunner, reffiles+self.wf_reffiles, runtimeContext.basedir,
241                                    "/keep/%s",
242                                    "/keep/%s/%s")
243
244             # For containers API, we need to make sure any extra
245             # referenced files (ie referenced by the workflow but
246             # not in the inputs) are included in the mounts.
247             if self.wf_reffiles:
248                 runtimeContext = runtimeContext.copy()
249                 runtimeContext.extra_reffiles = copy.deepcopy(self.wf_reffiles)
250
251             def keepmount(obj):
252                 remove_redundant_fields(obj)
253                 with SourceLine(obj, None, WorkflowException, logger.isEnabledFor(logging.DEBUG)):
254                     if "location" not in obj:
255                         raise WorkflowException("%s object is missing required 'location' field: %s" % (obj["class"], obj))
256                 with SourceLine(obj, "location", WorkflowException, logger.isEnabledFor(logging.DEBUG)):
257                     if obj["location"].startswith("keep:"):
258                         obj["location"] = mapper.mapper(obj["location"]).target
259                         if "listing" in obj:
260                             del obj["listing"]
261                     elif obj["location"].startswith("_:"):
262                         del obj["location"]
263                     else:
264                         raise WorkflowException("Location is not a keep reference or a literal: '%s'" % obj["location"])
265
266             visit_class(joborder_keepmount, ("File", "Directory"), keepmount)
267
268             def resolved(obj):
269                 if obj["location"].startswith("keep:"):
270                     obj["location"] = mapper.mapper(obj["location"]).resolved
271
272             visit_class(joborder_resolved, ("File", "Directory"), resolved)
273
274             if self.wf_pdh is None:
275                 adjustFileObjs(packed, keepmount)
276                 adjustDirObjs(packed, keepmount)
277                 self.wf_pdh = upload_workflow_collection(self.arvrunner, shortname(self.tool["id"]), packed)
278
279         wf_runner = cmap({
280             "class": "CommandLineTool",
281             "baseCommand": "cwltool",
282             "inputs": self.tool["inputs"],
283             "outputs": self.tool["outputs"],
284             "stdout": "cwl.output.json",
285             "requirements": self.requirements+job_res_reqs+[
286                 {"class": "InlineJavascriptRequirement"},
287                 {
288                 "class": "InitialWorkDirRequirement",
289                 "listing": [{
290                         "entryname": "workflow.cwl",
291                         "entry": '$({"class": "File", "location": "keep:%s/workflow.cwl"})' % self.wf_pdh
292                     }, {
293                         "entryname": "cwl.input.yml",
294                         "entry": json.dumps(joborder_keepmount, indent=2, sort_keys=True, separators=(',',': ')).replace("\\", "\\\\").replace('$(', '\$(').replace('${', '\${')
295                     }]
296             }],
297             "hints": self.hints,
298             "arguments": ["--no-container", "--move-outputs", "--preserve-entire-environment", "workflow.cwl#main", "cwl.input.yml"],
299             "id": "#"
300         })
301         return ArvadosCommandTool(self.arvrunner, wf_runner, self.loadingContext).job(joborder_resolved, output_callback, runtimeContext)
302
303     def make_workflow_step(self,
304                            toolpath_object,      # type: Dict[Text, Any]
305                            pos,                  # type: int
306                            loadingContext,       # type: LoadingContext
307                            *argc,
308                            **argv
309     ):
310         # (...) -> WorkflowStep
311         return ArvadosWorkflowStep(toolpath_object, pos, loadingContext, *argc, **argv)