Add support for OAR Scheduler

pydra/engine/tests/utils.py

@@ -37,6 +37,10 @@
     not (bool(shutil.which("qsub")) and bool(shutil.which("qacct"))),
     reason="sge not available",
 )
+need_oar = pytest.mark.skipif(
+    not (bool(shutil.which("oarsub")) and bool(shutil.which("oarstat"))),
+    reason="oar not available",
+)
 
 
 def num_python_cache_roots(cache_path: Path) -> int:

pydra/workers/oar.py

@@ -0,0 +1,175 @@
+import asyncio
+import os
+import sys
+import json
+import re
+import typing as ty
+from tempfile import gettempdir
+from pathlib import Path
+from shutil import copyfile
+import logging
+import attrs
+from pydra.engine.job import Job, save
+from pydra.workers import base
+
+
+logger = logging.getLogger("pydra.worker")
+
+if ty.TYPE_CHECKING:
+    from pydra.engine.result import Result
+
+
+@attrs.define
+class OarWorker(base.Worker):
+    """A worker to execute tasks on OAR systems."""
+
+    _cmd = "oarsub"
+
+    poll_delay: int = attrs.field(default=1, converter=base.ensure_non_negative)
+    oarsub_args: str = ""
+    error: dict[str, ty.Any] = attrs.field(factory=dict)
+
+    def __getstate__(self) -> dict[str, ty.Any]:
+        """Return state for pickling."""
+        state = super().__getstate__()
+        del state["error"]
+        return state
+
+    def __setstate__(self, state: dict[str, ty.Any]):
+        """Set state for unpickling."""
+        state["error"] = {}
+        super().__setstate__(state)
+
+    def _prepare_runscripts(self, job, interpreter="/bin/sh", rerun=False):
+        if isinstance(job, Job):
+            cache_root = job.cache_root
+            ind = None
+            uid = job.uid
+        else:
+            assert isinstance(job, tuple), f"Expecting a job or a tuple, not {job!r}"
+            assert len(job) == 2, f"Expecting a tuple of length 2, not {job!r}"
+            ind = job[0]
+            cache_root = job[-1].cache_root
+            uid = f"{job[-1].uid}_{ind}"
+
+        script_dir = cache_root / f"{self.plugin_name()}_scripts" / uid
+        script_dir.mkdir(parents=True, exist_ok=True)
+        if ind is None:
+            if not (script_dir / "_job.pklz").exists():
+                save(script_dir, job=job)
+        else:
+            copyfile(job[1], script_dir / "_job.pklz")
+
+        job_pkl = script_dir / "_job.pklz"
+        if not job_pkl.exists() or not job_pkl.stat().st_size:
+            raise Exception("Missing or empty job!")
+
+        batchscript = script_dir / f"batchscript_{uid}.sh"
+        python_string = (
+            f"""'from pydra.engine.job import load_and_run; """
+            f"""load_and_run("{job_pkl}", rerun={rerun}) '"""
+        )
+        bcmd = "\n".join(
+            (
+                f"#!{interpreter}",
+                f"{sys.executable} -c " + python_string,
+            )
+        )
+        with batchscript.open("wt") as fp:
+            fp.writelines(bcmd)
+        os.chmod(batchscript, 0o544)
+        return script_dir, batchscript
+
+    async def run(self, job: "Job[base.TaskType]", rerun: bool = False) -> "Result":
+        """Worker submission API."""
+        script_dir, batch_script = self._prepare_runscripts(job, rerun=rerun)
+        if (script_dir / script_dir.parts[1]) == gettempdir():
+            logger.warning("Temporary directories may not be shared across computers")
+        script_dir = job.cache_root / f"{self.plugin_name()}_scripts" / job.uid
+        sargs = self.oarsub_args.split()
+        jobname = re.search(r"(?<=-n )\S+|(?<=--name=)\S+", self.oarsub_args)
+        if not jobname:
+            jobname = ".".join((job.name, job.uid))
+            sargs.append(f"--name={jobname}")
+        output = re.search(r"(?<=-O )\S+|(?<=--stdout=)\S+", self.oarsub_args)
+        if not output:
+            output_file = str(script_dir / "oar-%jobid%.out")
+            sargs.append(f"--stdout={output_file}")
+        error = re.search(r"(?<=-e )\S+|(?<=--error=)\S+", self.oarsub_args)
+        if not error:
+            error_file = str(script_dir / "oar-%jobid%.err")
+            sargs.append(f"--stderr={error_file}")
+        else:
+            error_file = None
+        sargs.append(str(batch_script))
+        # TO CONSIDER: add random sleep to avoid overloading calls
+        rc, stdout, stderr = await base.read_and_display_async(
+            self._cmd, *sargs, hide_display=True
+        )
+        jobid = re.search(r"OAR_JOB_ID=(\d+)", stdout)
+        if rc:
+            raise RuntimeError(f"Error returned from oarsub: {stderr}")
+        elif not jobid:
+            raise RuntimeError("Could not extract job ID")
+        jobid = jobid.group(1)
+        if error_file:
+            error_file = error_file.replace("%jobid%", jobid)
+        self.error[jobid] = error_file.replace("%jobid%", jobid)
+        # intermittent polling
+        while True:
+            # 4 possibilities
+            # False: job is still pending/working
+            # Terminated: job is complete
+            # Error + idempotent: job has been stopped and resubmited with another jobid
+            # Error: Job failure
+            done = await self._poll_job(jobid)
+            if not done:
+                await asyncio.sleep(self.poll_delay)
+            elif done == "Terminated":
+                return True
+            elif done == "Error" and "idempotent" in self.oarsub_args:
+                logger.debug(
+                    f"Job {jobid} has been stopped. Looking for its resubmission..."
+                )
+                # loading info about task with a specific uid
+                info_file = job.cache_root / f"{job.uid}_info.json"
+                if info_file.exists():
+                    checksum = json.loads(info_file.read_text())["checksum"]
+                    if (job.cache_root / f"{checksum}.lock").exists():
+                        # for pyt3.8 we could you missing_ok=True
+                        (job.cache_root / f"{checksum}.lock").unlink()
+                cmd_re = ("oarstat", "-J", "--sql", f"resubmit_job_id='{jobid}'")
+                _, stdout, _ = await base.read_and_display_async(
+                    *cmd_re, hide_display=True
+                )
+                if not stdout:
+                    raise RuntimeError(
+                        "Job information about resubmission of job {jobid} not found"
+                    )
+                jobid = next(iter(json.loads(stdout).keys()), None)
+            else:
+                error_file = self.error[jobid]
+                error_line = Path(error_file).read_text().split("\n")[-2]
+                if "Exception" in error_line:
+                    error_message = error_line.replace("Exception: ", "")
+                elif "Error" in error_line:
+                    error_message = error_line.replace("Error: ", "")
+                else:
+                    error_message = "Job failed (unknown reason - TODO)"
+                raise Exception(error_message)
+                return True
+
+    async def _poll_job(self, jobid):
+        cmd = ("oarstat", "-J", "-s", "-j", jobid)
+        logger.debug(f"Polling job {jobid}")
+        _, stdout, _ = await base.read_and_display_async(*cmd, hide_display=True)
+        if not stdout:
+            raise RuntimeError("Job information not found")
+        status = json.loads(stdout)[jobid]
+        if status in ["Waiting", "Launching", "Running", "Finishing"]:
+            return False
+        return status
+
+
+# Alias so it can be referred to as oar.Worker
+Worker = OarWorker

pydra/workers/tests/test_worker.py

@@ -22,6 +22,7 @@
     need_sge,
     need_slurm,
     need_singularity,
+    need_oar,
     BasicWorkflow,
     BasicWorkflowWithThreadCount,
     BasicWorkflowWithThreadCountConcurrent,
@@ -602,6 +603,81 @@
     assert job_1_endtime > job_2_starttime
 
 
+@need_oar
+def test_oar_wf(tmpdir):
+    wf = BasicWorkflow(x=1)
+    wf.cache_dir = tmpdir
+    # submit workflow and every task as oar job
+    with Submitter(worker="oar", cache_root=tmpdir) as sub:
+        res = sub(wf)
+
+    outputs = res.outputs
+    assert outputs.out == 9
+    script_dir = tmpdir / "oar_scripts"
+    assert script_dir.exists()
+    # ensure each task was executed with oar
+    assert len([sd for sd in script_dir.listdir() if sd.isdir()]) == 2
+
+
+@need_oar
+def test_oar_wf_cf(tmpdir):
+    # submit entire workflow as single job executing with cf worker
+    wf = BasicWorkflow(x=1)
+    wf.plugin = "cf"
+    with Submitter(worker="oar", cache_root=tmpdir) as sub:
+        res = sub(wf)
+
+    outputs = res.outputs
+    assert outputs.out == 9
+    script_dir = tmpdir / "oar_scripts"
+    assert script_dir.exists()
+    # ensure only workflow was executed with oar
+    sdirs = [sd for sd in script_dir.listdir() if sd.isdir()]
+    assert len(sdirs) == 1
+    # oar scripts should be in the dirs that are using uid in the name
+    assert sdirs[0].basename == wf.uid
+
+
+@need_oar
+def test_oar_wf_state(tmpdir):
+    wf = BasicWorkflow().split(x=[5, 6])
+    with Submitter(worker="oar", cache_root=tmpdir) as sub:
+        res = sub(wf)
+
+    assert res.outputs.out == [9, 10]
+    script_dir = tmpdir / "OarWorker_scripts"
+    assert script_dir.exists()
+    sdirs = [sd for sd in script_dir.listdir() if sd.isdir()]
+    assert len(sdirs) == 2 * len(wf.x)
+
+
+@need_oar
+def test_oar_args_1(tmpdir):
+    """testing sbatch_args provided to the submitter"""
+    task = SleepAddOne(x=1)
+    # submit workflow and every task as oar job
+    with Submitter(worker="oar", cache_root=tmpdir, oarsub_args="-l nodes=2") as sub:
+        res = sub(task)
+
+    assert res.outputs.out == 2
+    script_dir = tmpdir / "oar_scripts"
+    assert script_dir.exists()
+
+
+@need_oar
+def test_oar_args_2(tmpdir):
+    """testing oarsub_args provided to the submitter
+    exception should be raised for invalid options
+    """
+    task = SleepAddOne(x=1)
+    # submit workflow and every task as oar job
+    with pytest.raises(RuntimeError, match="Error returned from oarsub:"):
+        with Submitter(
+            worker="oar", cache_root=tmpdir, oarsub_args="-l nodes=2 --invalid"
+        ) as sub:
+            sub(task)
+
+
 def test_hash_changes_in_task_inputs_file(tmp_path):
     @python.define
     def cache_dir_as_input(out_dir: Directory) -> Directory: