FgcmCalibrateTractRunner

class lsst.fgcmcal.FgcmCalibrateTractRunner(TaskClass, parsedCmd, doReturnResults=False)

Bases: lsst.pipe.base.ButlerInitializedTaskRunner

Subclass of TaskRunner for FgcmCalibrateTractTask

fgcmCalibrateTractTask.run() takes a number of arguments, one of which is the butler (for persistence and mapper data), and a list of dataRefs extracted from the command line. This task runs on a constrained set of dataRefs, typically a single tract. This class transforms the process arguments generated by the ArgumentParser into the arguments expected by FgcmCalibrateTractTask.run(). This runner does not use any parallelization.

Attributes Summary

TIMEOUT

Methods Summary

__call__(args)	Parameters:
getTargetList(parsedCmd)	Return a list with one element: a tuple with the butler and list of dataRefs
makeTask([parsedCmd, args])	A variant of the base version that passes a butler argument to the task’s constructor.
precall(parsedCmd)	Hook for code that should run exactly once, before multiprocessing.
prepareForMultiProcessing()	Prepare this instance for multiprocessing
run(parsedCmd)	Run the task, with no multiprocessing
runTask(task, dataRef, kwargs)	Make the actual call to runDataRef for this task.

Attributes Documentation

TIMEOUT = 2592000

Methods Documentation

__call__(args)

Parameters:

args: `tuple` with (butler, dataRefList)

Returns:

exitStatus: `list` with `lsst.pipe.base.Struct`

exitStatus (0: success; 1: failure)

static getTargetList(parsedCmd)

Return a list with one element: a tuple with the butler and list of dataRefs

makeTask(parsedCmd=None, args=None)

A variant of the base version that passes a butler argument to the task’s constructor.

Parameters:

parsedCmd : argparse.Namespace

Parsed command-line options, as returned by the ArgumentParser; if specified then args is ignored.

args

Other arguments; if parsedCmd is None then this must be specified.

Raises:

RuntimeError

Raised if parsedCmd and args are both None.

precall(parsedCmd)

Hook for code that should run exactly once, before multiprocessing.

Notes

Must return True if TaskRunner.__call__ should subsequently be called.

Warning

Implementations must take care to ensure that no unpicklable attributes are added to the TaskRunner itself, for compatibility with multiprocessing.

The default implementation writes package versions, schemas and configs, or compares them to existing files on disk if present.

prepareForMultiProcessing()

Prepare this instance for multiprocessing

Optional non-picklable elements are removed.

This is only called if the task is run under multiprocessing.

run(parsedCmd)

Run the task, with no multiprocessing

Parameters:

parsedCmd: `lsst.pipe.base.ArgumentParser` parsed command line

runTask(task, dataRef, kwargs)

Make the actual call to runDataRef for this task.

Parameters:

task : lsst.pipe.base.CmdLineTask class

The class of the task to run.

dataRef

Butler data reference that contains the data the task will process.

kwargs

Any additional keyword arguments. See TaskRunner.getTargetList above.

Notes

The default implementation of TaskRunner.runTask works for any command-line task which has a runDataRef method that takes a data reference and an optional set of additional keyword arguments. This method returns the results generated by the task’s runDataRef method.