LSSTApplications  17.0+124,17.0+14,17.0+73,18.0.0+37,18.0.0+80,18.0.0-4-g68ffd23+4,18.1.0-1-g0001055+12,18.1.0-1-g03d53ef+5,18.1.0-1-g1349e88+55,18.1.0-1-g2505f39+44,18.1.0-1-g5315e5e+4,18.1.0-1-g5e4b7ea+14,18.1.0-1-g7e8fceb+4,18.1.0-1-g85f8cd4+48,18.1.0-1-g8ff0b9f+4,18.1.0-1-ga2c679d+1,18.1.0-1-gd55f500+35,18.1.0-10-gb58edde+2,18.1.0-11-g0997b02+4,18.1.0-13-gfe4edf0b+12,18.1.0-14-g259bd21+21,18.1.0-19-gdb69f3f+2,18.1.0-2-g5f9922c+24,18.1.0-2-gd3b74e5+11,18.1.0-2-gfbf3545+32,18.1.0-26-g728bddb4+5,18.1.0-27-g6ff7ca9+2,18.1.0-3-g52aa583+25,18.1.0-3-g8ea57af+9,18.1.0-3-gb69f684+42,18.1.0-3-gfcaddf3+6,18.1.0-32-gd8786685a,18.1.0-4-gf3f9b77+6,18.1.0-5-g1dd662b+2,18.1.0-5-g6dbcb01+41,18.1.0-6-gae77429+3,18.1.0-7-g9d75d83+9,18.1.0-7-gae09a6d+30,18.1.0-9-gc381ef5+4,w.2019.45
LSSTDataManagementBasePackage
demoTask.py
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1 import math
2 import collections
3 import operator
4 from lsst.ctrl.pool.parallel import BatchPoolTask
5 from lsst.ctrl.pool.pool import Pool
6 from lsst.pipe.base import ArgumentParser
7 from lsst.pex.config import Config
8 
9 __all__ = ["DemoTask", ]
10 
11 
13  """Task for demonstrating the BatchPoolTask functionality"""
14  ConfigClass = Config
15  _DefaultName = "demo"
16 
17  @classmethod
18  def _makeArgumentParser(cls, *args, **kwargs):
19  kwargs.pop('doBatch', False) # Unused
20  parser = ArgumentParser(name="demo", *args, **kwargs)
21  parser.add_id_argument("--id", datasetType="raw", level="visit",
22  help="data ID, e.g. --id visit=12345")
23  return parser
24 
25  @classmethod
26  def batchWallTime(cls, time, parsedCmd, numCores):
27  """Return walltime request for batch job
28 
29  Subclasses should override if the walltime should be calculated
30  differently (e.g., addition of some serial time).
31 
32  @param time: Requested time per iteration
33  @param parsedCmd: Results of argument parsing
34  @param numCores: Number of cores
35  """
36  numTargets = [sum(1 for ccdRef in visitRef.subItems("ccd") if ccdRef.datasetExists("raw")) for
37  visitRef in parsedCmd.id.refList]
38  return time*sum(math.ceil(tt/numCores) for tt in numTargets)
39 
40  def runDataRef(self, visitRef):
41  """Main entry-point
42 
43  Only the master node runs this method. It will dispatch jobs to the
44  slave nodes.
45  """
46  pool = Pool("test")
47 
48  # Less overhead to transfer the butler once rather than in each dataRef
49  dataIdList = dict([(ccdRef.get("ccdExposureId"), ccdRef.dataId)
50  for ccdRef in visitRef.subItems("ccd") if ccdRef.datasetExists("raw")])
51  dataIdList = collections.OrderedDict(sorted(dataIdList.items()))
52 
53  with self.logOperation("master"):
54  total = pool.reduce(operator.add, self.run, list(dataIdList.values()),
55  butler=visitRef.getButler())
56  self.log.info("Total number of pixels read: %d" % (total,))
57 
58  def run(self, cache, dataId, butler=None):
59  """Read image and return number of pixels
60 
61  Only the slave nodes run this method.
62  """
63  assert butler is not None
64  with self.logOperation("read %s" % (dataId,)):
65  raw = butler.get("raw", dataId, immediate=True)
66  dims = raw.getDimensions()
67  num = dims.getX()*dims.getY()
68  self.log.info("Read %d pixels for %s" % (num, dataId,))
69  return num
70 
71  def _getConfigName(self):
72  return None
73 
74  def _getMetadataName(self):
75  return None
76 
77  def _getEupsVersionsName(self):
78  return None
def batchWallTime(cls, time, parsedCmd, numCores)
Definition: demoTask.py:26
def runDataRef(self, visitRef)
Definition: demoTask.py:40
def logOperation(self, operation, catch=False, trace=True)
Provide a context manager for logging an operation.
Definition: parallel.py:497
def run(self, cache, dataId, butler=None)
Definition: demoTask.py:58
daf::base::PropertyList * list
Definition: fits.cc:903