TimingMetricTask¶
TimingMetricTask creates a wall-clock timing Measurement based on data collected by @timeMethod.
It reads the raw timing data from the top-level CmdLineTask’s metadata, which is identified by the task configuration.
Processing summary¶
TimingMetricTask searches the metadata for @timeMethod-generated keys corresponding to the method of interest.
If it finds matching keys, it stores the elapsed time as a Measurement.
Python API summary¶
from lsst.verify.tasks.commonMetrics import TimingMetricTask
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class
(**kwargs)TimingMetricTask A Task that computes a wall-clock time using metadata produced by the `lsst.pipe.base.timeMethod` decorator
...
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attribute
config Access configuration fields and retargetable subtasks.
See also
See the TimingMetricTask API reference for complete details.
Butler datasets¶
Input datasets¶
metadata- The metadata of the top-level command-line task (e.g.,
ProcessCcdTask,ApPipeTask) being instrumented. Because the metadata produced by each top-level task is a different Butler dataset type, this dataset must be explicitly configured when runningTimingMetricTaskor aMetricsControllerTaskthat contains it.
Output datasets¶
measurement- The value of the metric.
The dataset type should not be configured directly, but should be set
changing the
packageandmetrictemplate variables to the metric’s namespace (package, by convention) and in-package name, respectively. Subclasses that only support one metric should set these variables automatically.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
connections¶
- Data type
lsst.pipe.base.config.Connections- Field type
ConfigField
Configurations describing the connections of the PipelineTask to datatypes
metric¶
The fully qualified name of the metric to store the profiling information. Deprecated: This field has been replaced by connections.package and connections.metric. It will be removed along with daf_persistence.
saveMetadata¶
Flag to enable/disable metadata saving for a task, enabled by default.
target¶
The method to profile, optionally prefixed by one or more tasks in the format of
lsst.pipe.base.Task.getFullMetadata().Examples¶
from lsst.verify.tasks import TimingMetricTask
config = TimingMetricTask.ConfigClass()
config.connections.metadata = "apPipe_metadata"
config.connections.package = "pipe_tasks"
cofig.connections.metric = "ProcessCcdTime"
config.target = "apPipe:ccdProcessor.runDataRef"
task = TimingMetricTask(config=config)
# config.connections provided for benefit of MetricsControllerTask/Pipeline
# but since we've defined it we might as well use it
metadata = butler.get(config.connections.metadata)
processCcdTime = task.run(metadata).measurement