Merge branch '11369-log-sizes' refs #11369
[arvados.git] / sdk / cwl / arvados_cwl / arvcontainer.py
1 import logging
2 import json
3 import os
4 import urllib
5
6 import ruamel.yaml as yaml
7
8 from cwltool.errors import WorkflowException
9 from cwltool.process import get_feature, UnsupportedRequirement, shortname
10 from cwltool.pathmapper import adjustFileObjs, adjustDirObjs
11 from cwltool.utils import aslist
12
13 import arvados.collection
14
15 from .arvdocker import arv_docker_get_image
16 from . import done
17 from .runner import Runner, arvados_jobs_image, packed_workflow, trim_anonymous_location
18 from .fsaccess import CollectionFetcher
19 from .pathmapper import NoFollowPathMapper, trim_listing
20 from .perf import Perf
21
22 logger = logging.getLogger('arvados.cwl-runner')
23 metrics = logging.getLogger('arvados.cwl-runner.metrics')
24
25 class ArvadosContainer(object):
26     """Submit and manage a Crunch container request for executing a CWL CommandLineTool."""
27
28     def __init__(self, runner):
29         self.arvrunner = runner
30         self.running = False
31         self.uuid = None
32
33     def update_pipeline_component(self, r):
34         pass
35
36     def run(self, dry_run=False, pull_image=True, **kwargs):
37         container_request = {
38             "command": self.command_line,
39             "owner_uuid": self.arvrunner.project_uuid,
40             "name": self.name,
41             "output_path": self.outdir,
42             "cwd": self.outdir,
43             "priority": 1,
44             "state": "Committed",
45             "properties": {}
46         }
47         runtime_constraints = {}
48
49         resources = self.builder.resources
50         if resources is not None:
51             runtime_constraints["vcpus"] = resources.get("cores", 1)
52             runtime_constraints["ram"] = resources.get("ram") * 2**20
53
54         mounts = {
55             self.outdir: {
56                 "kind": "tmp",
57                 "capacity": resources.get("outdirSize", 0) * 2**20
58             },
59             self.tmpdir: {
60                 "kind": "tmp",
61                 "capacity": resources.get("tmpdirSize", 0) * 2**20
62             }
63         }
64         scheduling_parameters = {}
65
66         rf = [self.pathmapper.mapper(f) for f in self.pathmapper.referenced_files]
67         rf.sort(key=lambda k: k.resolved)
68         prevdir = None
69         for resolved, target, tp, stg in rf:
70             if not stg:
71                 continue
72             if prevdir and target.startswith(prevdir):
73                 continue
74             if tp == "Directory":
75                 targetdir = target
76             else:
77                 targetdir = os.path.dirname(target)
78             sp = resolved.split("/", 1)
79             pdh = sp[0][5:]   # remove "keep:"
80             mounts[targetdir] = {
81                 "kind": "collection",
82                 "portable_data_hash": pdh
83             }
84             if len(sp) == 2:
85                 if tp == "Directory":
86                     path = sp[1]
87                 else:
88                     path = os.path.dirname(sp[1])
89                 if path and path != "/":
90                     mounts[targetdir]["path"] = path
91             prevdir = targetdir + "/"
92
93         with Perf(metrics, "generatefiles %s" % self.name):
94             if self.generatefiles["listing"]:
95                 vwd = arvados.collection.Collection(api_client=self.arvrunner.api,
96                                                     keep_client=self.arvrunner.keep_client,
97                                                     num_retries=self.arvrunner.num_retries)
98                 generatemapper = NoFollowPathMapper([self.generatefiles], "", "",
99                                                     separateDirs=False)
100
101                 with Perf(metrics, "createfiles %s" % self.name):
102                     for f, p in generatemapper.items():
103                         if not p.target:
104                             pass
105                         elif p.type in ("File", "Directory"):
106                             source, path = self.arvrunner.fs_access.get_collection(p.resolved)
107                             vwd.copy(path, p.target, source_collection=source)
108                         elif p.type == "CreateFile":
109                             with vwd.open(p.target, "w") as n:
110                                 n.write(p.resolved.encode("utf-8"))
111
112                 with Perf(metrics, "generatefiles.save_new %s" % self.name):
113                     vwd.save_new()
114
115                 for f, p in generatemapper.items():
116                     if not p.target:
117                         continue
118                     mountpoint = "%s/%s" % (self.outdir, p.target)
119                     mounts[mountpoint] = {"kind": "collection",
120                                           "portable_data_hash": vwd.portable_data_hash(),
121                                           "path": p.target}
122
123         container_request["environment"] = {"TMPDIR": self.tmpdir, "HOME": self.outdir}
124         if self.environment:
125             container_request["environment"].update(self.environment)
126
127         if self.stdin:
128             sp = self.stdin[6:].split("/", 1)
129             mounts["stdin"] = {"kind": "collection",
130                                 "portable_data_hash": sp[0],
131                                 "path": sp[1]}
132
133         if self.stderr:
134             mounts["stderr"] = {"kind": "file",
135                                 "path": "%s/%s" % (self.outdir, self.stderr)}
136
137         if self.stdout:
138             mounts["stdout"] = {"kind": "file",
139                                 "path": "%s/%s" % (self.outdir, self.stdout)}
140
141         (docker_req, docker_is_req) = get_feature(self, "DockerRequirement")
142         if not docker_req:
143             docker_req = {"dockerImageId": "arvados/jobs"}
144
145         container_request["container_image"] = arv_docker_get_image(self.arvrunner.api,
146                                                                      docker_req,
147                                                                      pull_image,
148                                                                      self.arvrunner.project_uuid)
149
150         api_req, _ = get_feature(self, "http://arvados.org/cwl#APIRequirement")
151         if api_req:
152             runtime_constraints["API"] = True
153
154         runtime_req, _ = get_feature(self, "http://arvados.org/cwl#RuntimeConstraints")
155         if runtime_req:
156             if "keep_cache" in runtime_req:
157                 runtime_constraints["keep_cache_ram"] = runtime_req["keep_cache"] * 2**20
158             if "outputDirType" in runtime_req:
159                 if runtime_req["outputDirType"] == "local_output_dir":
160                     # Currently the default behavior.
161                     pass
162                 elif runtime_req["outputDirType"] == "keep_output_dir":
163                     mounts[self.outdir]= {
164                         "kind": "collection",
165                         "writable": True
166                     }
167
168         partition_req, _ = get_feature(self, "http://arvados.org/cwl#PartitionRequirement")
169         if partition_req:
170             scheduling_parameters["partitions"] = aslist(partition_req["partition"])
171
172         container_request["mounts"] = mounts
173         container_request["runtime_constraints"] = runtime_constraints
174         container_request["use_existing"] = kwargs.get("enable_reuse", True)
175         container_request["scheduling_parameters"] = scheduling_parameters
176
177         if kwargs.get("runnerjob", "").startswith("arvwf:"):
178             wfuuid = kwargs["runnerjob"][6:kwargs["runnerjob"].index("#")]
179             wfrecord = self.arvrunner.api.workflows().get(uuid=wfuuid).execute(num_retries=self.arvrunner.num_retries)
180             if container_request["name"] == "main":
181                 container_request["name"] = wfrecord["name"]
182             container_request["properties"]["template_uuid"] = wfuuid
183
184         try:
185             response = self.arvrunner.api.container_requests().create(
186                 body=container_request
187             ).execute(num_retries=self.arvrunner.num_retries)
188
189             self.uuid = response["uuid"]
190             self.arvrunner.processes[self.uuid] = self
191
192             if response["state"] == "Final":
193                 logger.info("%s reused container %s", self.arvrunner.label(self), response["container_uuid"])
194                 self.done(response)
195             else:
196                 logger.info("%s %s state is %s", self.arvrunner.label(self), response["uuid"], response["state"])
197         except Exception as e:
198             logger.error("%s got error %s" % (self.arvrunner.label(self), str(e)))
199             self.output_callback({}, "permanentFail")
200
201     def done(self, record):
202         try:
203             container = self.arvrunner.api.containers().get(
204                 uuid=record["container_uuid"]
205             ).execute(num_retries=self.arvrunner.num_retries)
206             if container["state"] == "Complete":
207                 rcode = container["exit_code"]
208                 if self.successCodes and rcode in self.successCodes:
209                     processStatus = "success"
210                 elif self.temporaryFailCodes and rcode in self.temporaryFailCodes:
211                     processStatus = "temporaryFail"
212                 elif self.permanentFailCodes and rcode in self.permanentFailCodes:
213                     processStatus = "permanentFail"
214                 elif rcode == 0:
215                     processStatus = "success"
216                 else:
217                     processStatus = "permanentFail"
218             else:
219                 processStatus = "permanentFail"
220
221             if processStatus == "permanentFail":
222                 logc = arvados.collection.CollectionReader(container["log"],
223                                                            api_client=self.arvrunner.api,
224                                                            keep_client=self.arvrunner.keep_client,
225                                                            num_retries=self.arvrunner.num_retries)
226                 done.logtail(logc, logger, "%s error log:" % self.arvrunner.label(self))
227
228             outputs = {}
229             if container["output"]:
230                 outputs = done.done_outputs(self, container, "/tmp", self.outdir, "/keep")
231         except WorkflowException as e:
232             logger.error("%s unable to collect output from %s:\n%s",
233                          self.arvrunner.label(self), container["output"], e, exc_info=(e if self.arvrunner.debug else False))
234             processStatus = "permanentFail"
235         except Exception as e:
236             logger.exception("%s while getting output object: %s", self.arvrunner.label(self), e)
237             processStatus = "permanentFail"
238         finally:
239             self.output_callback(outputs, processStatus)
240             if record["uuid"] in self.arvrunner.processes:
241                 del self.arvrunner.processes[record["uuid"]]
242
243
244 class RunnerContainer(Runner):
245     """Submit and manage a container that runs arvados-cwl-runner."""
246
247     def arvados_job_spec(self, dry_run=False, pull_image=True, **kwargs):
248         """Create an Arvados container request for this workflow.
249
250         The returned dict can be used to create a container passed as
251         the +body+ argument to container_requests().create().
252         """
253
254         adjustDirObjs(self.job_order, trim_listing)
255         adjustFileObjs(self.job_order, trim_anonymous_location)
256         adjustDirObjs(self.job_order, trim_anonymous_location)
257
258         container_req = {
259             "owner_uuid": self.arvrunner.project_uuid,
260             "name": self.name,
261             "output_path": "/var/spool/cwl",
262             "cwd": "/var/spool/cwl",
263             "priority": 1,
264             "state": "Committed",
265             "container_image": arvados_jobs_image(self.arvrunner, self.jobs_image),
266             "mounts": {
267                 "/var/lib/cwl/cwl.input.json": {
268                     "kind": "json",
269                     "content": self.job_order
270                 },
271                 "stdout": {
272                     "kind": "file",
273                     "path": "/var/spool/cwl/cwl.output.json"
274                 },
275                 "/var/spool/cwl": {
276                     "kind": "collection",
277                     "writable": True
278                 }
279             },
280             "runtime_constraints": {
281                 "vcpus": 1,
282                 "ram": 1024*1024 * self.submit_runner_ram,
283                 "API": True
284             },
285             "properties": {}
286         }
287
288         if self.tool.tool.get("id", "").startswith("keep:"):
289             sp = self.tool.tool["id"].split('/')
290             workflowcollection = sp[0][5:]
291             workflowname = "/".join(sp[1:])
292             workflowpath = "/var/lib/cwl/workflow/%s" % workflowname
293             container_req["mounts"]["/var/lib/cwl/workflow"] = {
294                 "kind": "collection",
295                 "portable_data_hash": "%s" % workflowcollection
296             }
297         else:
298             packed = packed_workflow(self.arvrunner, self.tool)
299             workflowpath = "/var/lib/cwl/workflow.json#main"
300             container_req["mounts"]["/var/lib/cwl/workflow.json"] = {
301                 "kind": "json",
302                 "content": packed
303             }
304             if self.tool.tool.get("id", "").startswith("arvwf:"):
305                 container_req["properties"]["template_uuid"] = self.tool.tool["id"][6:33]
306
307         command = ["arvados-cwl-runner", "--local", "--api=containers", "--no-log-timestamps"]
308         if self.output_name:
309             command.append("--output-name=" + self.output_name)
310             container_req["output_name"] = self.output_name
311
312         if self.output_tags:
313             command.append("--output-tags=" + self.output_tags)
314
315         if kwargs.get("debug"):
316             command.append("--debug")
317
318         if self.enable_reuse:
319             command.append("--enable-reuse")
320         else:
321             command.append("--disable-reuse")
322
323         if self.on_error:
324             command.append("--on-error=" + self.on_error)
325
326         command.extend([workflowpath, "/var/lib/cwl/cwl.input.json"])
327
328         container_req["command"] = command
329
330         return container_req
331
332
333     def run(self, *args, **kwargs):
334         kwargs["keepprefix"] = "keep:"
335         job_spec = self.arvados_job_spec(*args, **kwargs)
336         job_spec.setdefault("owner_uuid", self.arvrunner.project_uuid)
337
338         response = self.arvrunner.api.container_requests().create(
339             body=job_spec
340         ).execute(num_retries=self.arvrunner.num_retries)
341
342         self.uuid = response["uuid"]
343         self.arvrunner.processes[self.uuid] = self
344
345         logger.info("%s submitted container %s", self.arvrunner.label(self), response["uuid"])
346
347         if response["state"] == "Final":
348             self.done(response)
349
350     def done(self, record):
351         try:
352             container = self.arvrunner.api.containers().get(
353                 uuid=record["container_uuid"]
354             ).execute(num_retries=self.arvrunner.num_retries)
355         except Exception as e:
356             logger.exception("%s while getting runner container: %s", self.arvrunner.label(self), e)
357             self.arvrunner.output_callback({}, "permanentFail")
358         else:
359             super(RunnerContainer, self).done(container)
360         finally:
361             if record["uuid"] in self.arvrunner.processes:
362                 del self.arvrunner.processes[record["uuid"]]