DiaObjectCalculationTask¶
- class lsst.meas.base.DiaObjectCalculationTask(plugMetadata=None, **kwargs)¶
Bases:
CatalogCalculationTaskRun plugins which operate on a catalog of DIA sources.
This task facilitates running plugins which will operate on a source catalog. These plugins may do things such as classifying an object based on source record entries inserted during a measurement task.
This task differs from CatalogCaculationTask in the following ways:
- -No multi mode is available for plugins. All plugins are assumed to run
in single mode.
- -Input and output catalog types are assumed to be
pandas.DataFrameswith columns following those used in the Apdb.
- -No schema argument is passed to the plugins. Each plugin specifies
output columns and required inputs.
- Parameters:
Notes
Plugins may either take an entire catalog to work on at a time, or work on individual records.
Methods Summary
callCompute(diaObjectCat, diaSourceCat, ...)Run each of the plugins on the catalog.
Empty (clear) the metadata for this Task and all sub-Tasks.
Get metadata for all tasks.
Get the task name as a hierarchical name including parent task names.
getName()Get the name of the task.
Get a dictionary of all tasks as a shallow copy.
Initialize the plugins according to the configuration.
makeField(doc)Make a
lsst.pex.config.ConfigurableFieldfor this task.makeSubtask(name, **keyArgs)Create a subtask as a new instance as the
nameattribute of this task.run(diaObjectCat, diaSourceCat, ...)The entry point for the DIA catalog calculation task.
timer(name[, logLevel])Context manager to log performance data for an arbitrary block of code.
Methods Documentation
- callCompute(diaObjectCat, diaSourceCat, updatedDiaObjectIds, filterNames)¶
Run each of the plugins on the catalog.
For catalog column names see the lsst.cat schema definitions for the DiaObject and DiaSource tables (http://github.com/lsst/cat).
- Parameters:
- diaObjectCat
pandas.DataFrame DiaObjects to update values of and append new objects to. DataFrame should be indexed on “diaObjectId”
- diaSourceCat
pandas.DataFrame DiaSources associated with the DiaObjects in diaObjectCat. DataFrame must be indexed on [“diaObjectId”, “band”, “diaSourceId”]`
- updatedDiaObjectIds
numpy.ndarray Integer ids of the DiaObjects to update and create.
- filterNames
listofstr List of string names of filters to be being processed.
- diaObjectCat
- Returns:
- returnStruct
lsst.pipe.base.Struct Struct containing:
diaObjectCatFull set of DiaObjects including both un-updated and updated/new DiaObjects (
pandas.DataFrame).updatedDiaObjectsCatalog of DiaObjects that were updated or created by this task (
pandas.DataFrame).
- returnStruct
- Raises:
- KeyError
Raises if
pandas.DataFrameindexing is not properly set.
- getFullMetadata() TaskMetadata¶
Get metadata for all tasks.
- Returns:
- metadata
TaskMetadata The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.
- metadata
Notes
The returned metadata includes timing information (if
@timer.timeMethodis used) and any metadata set by the task. The name of each item consists of the full task name with.replaced by:, followed by.and the name of the item, e.g.:topLevelTaskName:subtaskName:subsubtaskName.itemName
using
:in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.
- getFullName() str¶
Get the task name as a hierarchical name including parent task names.
- Returns:
- fullName
str The full name consists of the name of the parent task and each subtask separated by periods. For example:
The full name of top-level task “top” is simply “top”.
The full name of subtask “sub” of top-level task “top” is “top.sub”.
The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.
- fullName
- getName() str¶
Get the name of the task.
- Returns:
- taskName
str Name of the task.
- taskName
See also
getFullNameGet the full name of the task.
- getTaskDict() dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]¶
Get a dictionary of all tasks as a shallow copy.
- Returns:
- taskDict
dict Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.
- taskDict
- initializePlugins()¶
Initialize the plugins according to the configuration.
- classmethod makeField(doc: str) ConfigurableField¶
Make a
lsst.pex.config.ConfigurableFieldfor this task.- Parameters:
- doc
str Help text for the field.
- doc
- Returns:
- configurableField
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor this task.
- configurableField
Examples
Provides a convenient way to specify this task is a subtask of another task.
Here is an example of use:
class OtherTaskConfig(lsst.pex.config.Config): aSubtask = ATaskClass.makeField("brief description of task")
- makeSubtask(name: str, **keyArgs: Any) None¶
Create a subtask as a new instance as the
nameattribute of this task.- Parameters:
- name
str Brief name of the subtask.
- **keyArgs
Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden:
config.parentTask.
- name
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.
- run(diaObjectCat, diaSourceCat, updatedDiaObjectIds, filterNames)¶
The entry point for the DIA catalog calculation task.
Run method both updates the values in the diaObjectCat and appends newly created DiaObjects to the catalog. For catalog column names see the lsst.cat schema definitions for the DiaObject and DiaSource tables (http://github.com/lsst/cat).
- Parameters:
- diaObjectCat
pandas.DataFrame DiaObjects to update values of and append new objects to. DataFrame should be indexed on “diaObjectId”
- diaSourceCat
pandas.DataFrame DiaSources associated with the DiaObjects in diaObjectCat. DataFrame should be indexed on
["diaObjectId", "band", "diaSourceId"]- updatedDiaObjectIds
numpy.ndarray Integer ids of the DiaObjects to update and create.
- filterNames
listofstr List of string names of filters to be being processed.
- diaObjectCat
- Returns:
- returnStruct
lsst.pipe.base.Struct Struct containing:
diaObjectCatFull set of DiaObjects including both un-updated and updated/new DiaObjects (
pandas.DataFrame).updatedDiaObjectsCatalog of DiaObjects that were updated or created by this task (
pandas.DataFrame).
- returnStruct