Merge master into dependabot/pip/mypy-1.10.0

docs/appendices/architecture.rst

@@ -36,7 +36,7 @@ These components are described below:
         If the job defines successor jobs the worker may choose to immediately run them
         (see `Job Chaining`_ below).
     * the batch-system:
-        Responsible for scheduling the jobs given to it by the leader, creating
+        Responsible for scheduling the jobs given to it by the leader, running
         a worker command for each job. The batch-system is defined by the
         :class:`~toil.batchSystems.abstractBatchSystem.AbstractBatchSystem` class.
         Toil uses multiple existing batch systems to schedule jobs, including
@@ -63,7 +63,7 @@ and un-pickled by the worker when they are scheduled to run.
 During scheduling, Toil does not work with the actual Job objects. Instead,
 :class:`~toil.job.JobDescription` objects are used to store all the information
 that the Toil Leader ever needs to know about the Job. This includes requirements
-information, dependency information, commands to issue, etc.
+information, dependency information, body object to run, worker command to issue, etc.
 
 Internally, the JobDescription object is referenced by its jobStoreID, which is
 often not human readable. However, the Job and JobDescription objects contain

docs/running/cliOptions.rst

@@ -431,7 +431,7 @@ from the batch system.
 The options for jobs that either run too long/fail or get lost (some batch
 systems have issues!).
 
-  --retryCount RETRYCOUNT
+  --retryCount INT
                         Number of times to retry a failing job before giving
                         up and labeling job failed. default=1
   --enableUnlimitedPreemptibleRetries
@@ -443,14 +443,17 @@ systems have issues!).
 			doubled and they will be retried. The remaining
 			retry count will be reduced by 1. Currently only
 			supported by LSF. default=False.
-  --maxJobDuration MAXJOBDURATION
+  --maxJobDuration INT
                         Maximum runtime of a job (in seconds) before we kill
                         it (this is a lower bound, and the actual time before
                         killing the job may be longer).
-  --rescueJobsFrequency RESCUEJOBSFREQUENCY
+  --rescueJobsFrequency INT
                         Period of time to wait (in seconds) between checking
                         for missing/overlong jobs, that is jobs which get lost
                         by the batch system. Expert parameter.
+  --jobStoreTimeout FLOAT
+                        Maximum time (in seconds) to wait for a job's update to
+                        the job store before declaring it failed. 
 
 **Log Management Options**
 

src/toil/batchSystems/abstractBatchSystem.py

@@ -58,6 +58,13 @@ class BatchJobExitReason(enum.IntEnum):
     """Internal error."""
     MEMLIMIT: int = 6
     """Job hit batch system imposed memory limit."""
+    MISSING: int = 7
+    """Job disappeared from the scheduler without actually stopping, so Toil killed it."""
+    MAXJOBDURATION: int = 8
+    """Job ran longer than --maxJobDuration, so Toil killed it."""
+    PARTITION: int = 9
+    """Job was not able to talk to the leader via the job store, so Toil declared it failed."""
+
 
     @classmethod
     def to_string(cls, value: int) -> str:
@@ -156,17 +163,19 @@ def set_message_bus(self, message_bus: MessageBus) -> None:
         """
 
     @abstractmethod
-    def issueBatchJob(self, jobDesc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
+    def issueBatchJob(self, command: str, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
         """
         Issues a job with the specified command to the batch system and returns
-        a unique jobID.
+        a unique job ID number.
 
-        :param jobDesc: a toil.job.JobDescription
+        :param command: the command to execute somewhere to run the Toil
+            worker process
+        :param job_desc: the JobDescription for the job being run
         :param job_environment: a collection of job-specific environment
-                                variables to be set on the worker.
+            variables to be set on the worker.
 
-        :return: a unique jobID that can be used to reference the newly issued
-                 job
+        :return: a unique job ID number that can be used to reference the newly
+            issued job
         """
         raise NotImplementedError()
 
@@ -188,20 +197,20 @@ def getIssuedBatchJobIDs(self) -> List[int]:
         """
         Gets all currently issued jobs
 
-        :return: A list of jobs (as jobIDs) currently issued (may be running, or may be
-                 waiting to be run). Despite the result being a list, the ordering should not
-                 be depended upon.
+        :return: A list of jobs (as job ID numbers) currently issued (may be
+            running, or may be waiting to be run). Despite the result being a
+            list, the ordering should not be depended upon.
         """
         raise NotImplementedError()
 
     @abstractmethod
     def getRunningBatchJobIDs(self) -> Dict[int, float]:
         """
-        Gets a map of jobs as jobIDs that are currently running (not just waiting)
-        and how long they have been running, in seconds.
+        Gets a map of jobs as job ID numbers that are currently running (not
+        just waiting) and how long they have been running, in seconds.
 
-        :return: dictionary with currently running jobID keys and how many seconds they have
-                 been running as the value
+        :return: dictionary with currently running job ID number keys and how
+            many seconds they have been running as the value
         """
         raise NotImplementedError()
 

src/toil/batchSystems/abstractGridEngineBatchSystem.py

@@ -394,9 +394,9 @@ def supportsWorkerCleanup(cls):
     def supportsAutoDeployment(cls):
         return False
 
-    def issueBatchJob(self, jobDesc, job_environment: Optional[Dict[str, str]] = None):
+    def issueBatchJob(self, command: str, jobDesc, job_environment: Optional[Dict[str, str]] = None):
         # Avoid submitting internal jobs to the batch queue, handle locally
-        localID = self.handleLocalJob(jobDesc)
+        localID = self.handleLocalJob(command, jobDesc)
         if localID is not None:
             return localID
         else:
@@ -410,10 +410,10 @@ def issueBatchJob(self, jobDesc, job_environment: Optional[Dict[str, str]] = Non
                         gpus = accelerator['count']
             else:
                 gpus = jobDesc.accelerators
-
-            self.newJobsQueue.put((jobID, jobDesc.cores, jobDesc.memory, jobDesc.command, get_job_kind(jobDesc.get_names()),
+            
+            self.newJobsQueue.put((jobID, jobDesc.cores, jobDesc.memory, command, get_job_kind(jobDesc.get_names()),
                                    job_environment, gpus))
-            logger.debug("Issued the job command: %s with job id: %s and job name %s", jobDesc.command, str(jobID),
+            logger.debug("Issued the job command: %s with job id: %s and job name %s", command, str(jobID),
                          get_job_kind(jobDesc.get_names()))
         return jobID
 

src/toil/batchSystems/awsBatch.py

@@ -156,9 +156,9 @@ def _check_accelerator_request(self, requirer: Requirer) -> None:
                     'AWS Batch can only provide nvidia gpu accelerators.'
                 ])
 
-    def issueBatchJob(self, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
+    def issueBatchJob(self, command: str, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
         # Try the job as local
-        local_id = self.handleLocalJob(job_desc)
+        local_id = self.handleLocalJob(command, job_desc)
         if local_id is not None:
             # It is a local job
             return local_id
@@ -184,7 +184,7 @@ def issueBatchJob(self, job_desc: JobDescription, job_environment: Optional[Dict
                 environment.update(job_environment)
 
             # Make a command to run it in the executor
-            command_list = pack_job(job_desc, self.user_script)
+            command_list = pack_job(command, self.user_script)
 
             # Compose a job spec to submit
             job_spec = {

src/toil/batchSystems/contained_executor.py

@@ -25,18 +25,17 @@
 from typing import Any, Dict, List, Optional
 
 from toil.batchSystems.abstractBatchSystem import EXIT_STATUS_UNAVAILABLE_VALUE
-from toil.job import JobDescription
 from toil.resource import Resource
 from toil.statsAndLogging import configure_root_logger, set_log_level
 
 logger = logging.getLogger(__name__)
 
 
-def pack_job(job_desc: JobDescription, user_script: Optional[Resource] = None, environment: Optional[Dict[str, str]] = None) -> List[str]:
+def pack_job(command: str, user_script: Optional[Resource] = None, environment: Optional[Dict[str, str]] = None) -> List[str]:
     """
-    Create a command that, when run, will execute the given job.
+    Create a command that runs the given command in an environment. 
 
-    :param job_desc: Job description for the job to run.
+    :param command: Worker command to run to run the job.
     :param user_script: User script that will be loaded before the job is run.
     :param environment: Environment variable dict that will be applied before
         the job is run.
@@ -46,7 +45,7 @@ def pack_job(job_desc: JobDescription, user_script: Optional[Resource] = None, e
     """
     # Make a job dict to send to the executor.
     # TODO: Factor out executor setup from here and Kubernetes and TES
-    job: Dict[str, Any] = {"command": job_desc.command}
+    job: Dict[str, Any] = {"command": command}
     if user_script is not None:
         # If there's a user script resource be sure to send it along
         job['userScript'] = user_script

src/toil/batchSystems/htcondor.py

@@ -387,9 +387,9 @@ def getEnvString(self, overrides: Dict[str, str]) -> str:
             return '"' + ' '.join(env_items) + '"'
 
     # Override the issueBatchJob method so HTCondor can be given the disk request
-    def issueBatchJob(self, jobNode, job_environment: Optional[Dict[str, str]] = None):
+    def issueBatchJob(self, command: str, jobNode, job_environment: Optional[Dict[str, str]] = None):
         # Avoid submitting internal jobs to the batch queue, handle locally
-        localID = self.handleLocalJob(jobNode)
+        localID = self.handleLocalJob(command, jobNode)
         if localID is not None:
             return localID
         else:
@@ -398,7 +398,7 @@ def issueBatchJob(self, jobNode, job_environment: Optional[Dict[str, str]] = Non
             self.currentJobs.add(jobID)
 
             # Construct our style of job tuple
-            self.newJobsQueue.put((jobID, jobNode.cores, jobNode.memory, jobNode.disk, jobNode.jobName, jobNode.command,
+            self.newJobsQueue.put((jobID, jobNode.cores, jobNode.memory, jobNode.disk, jobNode.jobName, command,
                                    job_environment or {}, jobNode.accelerators))
-            logger.debug("Issued the job command: %s with job id: %s ", jobNode.command, str(jobID))
+            logger.debug("Issued the job command: %s with job id: %s ", command, str(jobID))
         return jobID

src/toil/batchSystems/kubernetes.py

@@ -758,6 +758,7 @@ def _check_accelerator_request(self, requirer: Requirer) -> None:
 
     def _create_pod_spec(
             self,
+            command: str,
             job_desc: JobDescription,
             job_environment: Optional[Dict[str, str]] = None
     ) -> V1PodSpec:
@@ -770,7 +771,7 @@ def _create_pod_spec(
             environment.update(job_environment)
 
         # Make a command to run it in the executor
-        command_list = pack_job(job_desc, self.user_script, environment=environment)
+        command_list = pack_job(command, self.user_script, environment=environment)
 
         # The Kubernetes API makes sense only in terms of the YAML format. Objects
         # represent sections of the YAML files. Except from our point of view, all
@@ -1005,9 +1006,9 @@ def _delete_job(
             self._release_acquired_resources(resources, notify=resource_notify)
             del self._acquired_resources[job_name]
 
-    def issueBatchJob(self, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
+    def issueBatchJob(self, command: str, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
         # Try the job as local
-        localID = self.handleLocalJob(job_desc)
+        localID = self.handleLocalJob(command, job_desc)
         if localID is not None:
             # It is a local job
             return localID
@@ -1018,7 +1019,7 @@ def issueBatchJob(self, job_desc: JobDescription, job_environment: Optional[Dict
         self.check_resource_request(job_desc)
 
         # Make a pod that describes running the job
-        pod_spec = self._create_pod_spec(job_desc, job_environment=job_environment)
+        pod_spec = self._create_pod_spec(command, job_desc, job_environment=job_environment)
 
         # Make a batch system scope job ID
         job_id = self.getNextJobID()

src/toil/batchSystems/local_support.py

@@ -34,9 +34,9 @@ def __init__(self, config: Config, maxCores: float, maxMemory: int, maxDisk: int
             config, maxCores, maxMemory, maxDisk, max_jobs=max_local_jobs
         )
 
-    def handleLocalJob(self, jobDesc: JobDescription) -> Optional[int]:
+    def handleLocalJob(self, command: str, jobDesc: JobDescription) -> Optional[int]:
         """
-        To be called by issueBatchJobs.
+        To be called by issueBatchJob.
 
         Returns the jobID if the jobDesc has been submitted to the local queue,
         otherwise returns None
@@ -50,7 +50,7 @@ def handleLocalJob(self, jobDesc: JobDescription) -> Optional[int]:
             # somehow doesn't error whereas just returning the value complains
             # we're returning an Any. TODO: When singleMachine.py typechecks,
             # remove all these extra variables.
-            local_id: int = self.localBatch.issueBatchJob(jobDesc)
+            local_id: int = self.localBatch.issueBatchJob(command, jobDesc)
             return local_id
         else:
             return None

src/toil/batchSystems/mesos/batchSystem.py

@@ -174,13 +174,13 @@ def ignoreNode(self, nodeAddress):
     def unignoreNode(self, nodeAddress):
         self.ignoredNodes.remove(nodeAddress)
 
-    def issueBatchJob(self, jobNode: JobDescription, job_environment: Optional[Dict[str, str]] = None):
+    def issueBatchJob(self, command: str, jobNode: JobDescription, job_environment: Optional[Dict[str, str]] = None):
         """
         Issues the following command returning a unique jobID. Command is the string to run, memory
         is an int giving the number of bytes the job needs to run in and cores is the number of cpus
         needed for the job and error-file is the path of the file to place any std-err/std-out in.
         """
-        localID = self.handleLocalJob(jobNode)
+        localID = self.handleLocalJob(command, jobNode)
         if localID is not None:
             return localID
 
@@ -200,12 +200,12 @@ def issueBatchJob(self, jobNode: JobDescription, job_environment: Optional[Dict[
         job = ToilJob(jobID=jobID,
                       name=str(jobNode),
                       resources=MesosShape(wallTime=0, **mesos_resources),
-                      command=jobNode.command,
+                      command=command,
                       userScript=self.userScript,
                       environment=environment,
                       workerCleanupInfo=self.workerCleanupInfo)
         jobType = job.resources
-        log.debug("Queueing the job command: %s with job id: %s ...", jobNode.command, str(jobID))
+        log.debug("Queueing the job %s with job id: %s ...", jobNode, str(jobID))
 
         # TODO: round all elements of resources
 

src/toil/batchSystems/mesos/executor.py

@@ -196,12 +196,13 @@ def runJob(job):
             """
             if job.userScript:
                 job.userScript.register()
-            log.debug("Invoking command: '%s'", job.command)
+            command = job.command
+            log.debug("Invoking command: '%s'", command)
             # Construct the job's environment
             jobEnv = dict(os.environ, **job.environment)
             log.debug('Using environment variables: %s', jobEnv.keys())
             with self.popenLock:
-                return subprocess.Popen(job.command,
+                return subprocess.Popen(command,
                                         preexec_fn=lambda: os.setpgrp(),
                                         shell=True, env=jobEnv)
 

src/toil/batchSystems/singleMachine.py

@@ -743,24 +743,24 @@ def _handleChild(self, pid: int) -> None:
 
         logger.debug('Child %d for job %s succeeded', pid, jobID)
 
-    def issueBatchJob(self, jobDesc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
+    def issueBatchJob(self, command: str, job_desc: JobDescription, job_environment: Optional[Dict[str, str]] = None) -> int:
         """Adds the command and resources to a queue to be run."""
 
         self._checkOnDaddy()
 
         # Apply scale in cores
-        scaled_desc = jobDesc.scale('cores', self.scale)
+        scaled_desc = job_desc.scale('cores', self.scale)
         # Round cores up to multiples of minCores
         scaled_desc.cores = max(math.ceil(scaled_desc.cores / self.minCores) * self.minCores, self.minCores)
 
         # Don't do our own assertions about job size vs. our configured size.
         # The abstract batch system can handle it.
         self.check_resource_request(scaled_desc)
-        logger.debug(f"Issuing the command: {jobDesc.command} with {scaled_desc.requirements_string()}")
+        logger.debug(f"Issuing the command: {command} with {scaled_desc.requirements_string()}")
         with self.jobIndexLock:
             jobID = self.jobIndex
             self.jobIndex += 1
-        self.jobs[jobID] = jobDesc.command
+        self.jobs[jobID] = command
 
         environment = self.environment.copy()
         if job_environment:
@@ -769,10 +769,10 @@ def issueBatchJob(self, jobDesc: JobDescription, job_environment: Optional[Dict[
         if self.debugWorker:
             # Run immediately, blocking for return.
             # Ignore resource requirements; we run one job at a time
-            self._runDebugJob(jobDesc.command, jobID, environment)
+            self._runDebugJob(command, jobID, environment)
         else:
             # Queue the job for later
-            self.inputQueue.put((jobDesc.command, jobID, scaled_desc.cores, scaled_desc.memory,
+            self.inputQueue.put((command, jobID, scaled_desc.cores, scaled_desc.memory,
                                 scaled_desc.disk, scaled_desc.accelerators, environment))
 
         return jobID

src/toil/common.py

@@ -208,6 +208,7 @@ class Config:
     doubleMem: bool
     maxJobDuration: int
     rescueJobsFrequency: int
+    job_store_timeout: float
 
     # Log management
     maxLogFileSize: int
@@ -373,6 +374,7 @@ def set_option(option_name: str,
         set_option("doubleMem")
         set_option("maxJobDuration")
         set_option("rescueJobsFrequency")
+        set_option("job_store_timeout")
 
         # Log management
         set_option("maxLogFileSize")

src/toil/fileStores/abstractFileStore.py

@@ -113,9 +113,7 @@ def __init__(
         assert self.jobStore.config.workflowID is not None
         self.workflow_dir: str = Toil.getLocalWorkflowDir(self.jobStore.config.workflowID, self.jobStore.config.workDir)
         self.coordination_dir: str =Toil.get_local_workflow_coordination_dir(self.jobStore.config.workflowID, self.jobStore.config.workDir, self.jobStore.config.coordination_dir)
-        self.jobName: str = (
-            self.jobDesc.command.split()[1] if self.jobDesc.command else ""
-        )
+        self.jobName: str = str(self.jobDesc)
         self.waitForPreviousCommit = waitForPreviousCommit
         self.logging_messages: List[Dict[str, Union[int, str]]] = []
         self.logging_user_streams: List[dict[str, str]] = []

src/toil/fileStores/cachingFileStore.py

@@ -1859,7 +1859,7 @@ def startCommit(self, jobState=False):
             logger.debug('Starting commit of %s forked from %s', state_to_commit, self.jobDesc)
             # Make sure the deep copy isn't summoning ghosts of old job
             # versions. It must be as new or newer at this point.
-            self.jobDesc.check_new_version(state_to_commit)
+            self.jobDesc.assert_is_not_newer_than(state_to_commit)
 
             # Bump the original's version since saving will do that too and we
             # don't want duplicate versions.