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
-
class
(**kwargs)TimingMetricTask
A Task that computes a wall-clock time using metadata produced by the `lsst.pipe.base.timeMethod` decorator
...
-
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 runningTimingMetricTask
or aMetricsControllerTask
that contains it.
Output datasets¶
measurement
- The value of the metric.
The dataset type should not be configured directly, but should be set
changing the
package
andmetric
template 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 Deprecated: This field has been replaced by connections.package and connections.metric.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