PhotodiodeIngestTask¶
-
class
lsst.obs.lsst.PhotodiodeIngestTask(butler, instrument, config=None, **kwargs)¶ Bases:
lsst.pipe.base.TaskTask to ingest photodiode data into a butler repository.
Parameters: - config :
PhotodiodeIngestConfig Configuration for the task.
- instrument :
Instrument The instrument these photodiode datasets are from.
- butler :
Butler Writable butler instance, with
butler.runset to the appropriateRUNcollection for these datasets.- **kwargs
Additional keyword arguments.
Methods Summary
emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. getAllSchemaCatalogs()Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict. getDatasetType()Return the DatasetType of the photodiode datasets. getFullMetadata()Get metadata for all tasks. getFullName()Get the task name as a hierarchical name including parent task names. getName()Get the name of the task. getSchemaCatalogs()Get the schemas generated by this task. getTaskDict()Get a dictionary of all tasks as a shallow copy. 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(locations[, run, file_filter, …])Ingest photodiode data into a Butler data repository. timer(name[, logLevel])Context manager to log performance data for an arbitrary block of code. Methods Documentation
-
emptyMetadata()¶ Empty (clear) the metadata for this Task and all sub-Tasks.
-
getAllSchemaCatalogs()¶ Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.
Returns: - schemacatalogs :
dict Keys are butler dataset type, values are a empty catalog (an instance of the appropriate
lsst.afw.tableCatalog type) for all tasks in the hierarchy, from the top-level task down through all subtasks.
Notes
This method may be called on any task in the hierarchy; it will return the same answer, regardless.
The default implementation should always suffice. If your subtask uses schemas the override
Task.getSchemaCatalogs, not this method.- schemacatalogs :
-
getDatasetType()¶ Return the DatasetType of the photodiode datasets.
-
getFullMetadata()¶ 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.
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.- metadata :
-
getFullName()¶ 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 :
-
getSchemaCatalogs()¶ Get the schemas generated by this task.
Returns: - schemaCatalogs :
dict Keys are butler dataset type, values are an empty catalog (an instance of the appropriate
lsst.afw.tableCatalog type) for this task.
See also
Task.getAllSchemaCatalogsNotes
Warning
Subclasses that use schemas must override this method. The default implementation returns an empty dict.
This method may be called at any time after the Task is constructed, which means that all task schemas should be computed at construction time, not when data is actually processed. This reflects the philosophy that the schema should not depend on the data.
Returning catalogs rather than just schemas allows us to save e.g. slots for SourceCatalog as well.
- schemaCatalogs :
-
getTaskDict()¶ 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 :
-
classmethod
makeField(doc)¶ Make a
lsst.pex.config.ConfigurableFieldfor this task.Parameters: - doc :
str Help text for the field.
Returns: - configurableField :
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor this task.
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")
- doc :
-
makeSubtask(name, **keyArgs)¶ 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”.
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.- name :
-
run(locations, run=None, file_filter='.*Photodiode_Readings.*txt', track_file_attrs=None)¶ Ingest photodiode data into a Butler data repository.
Parameters: - files : iterable over
lsst.resources.ResourcePath URIs to the files to be ingested.
- run :
str, optional Name of the RUN-type collection to write to, overriding the default derived from the instrument name.
- skip_existing_exposures :
bool, optional If
True, skip photodiodes that have already been ingested (i.e. raws for which we already have a dataset with the same data ID in the target collection).- track_file_attrs :
bool, optional Control whether file attributes such as the size or checksum should be tracked by the datastore. Whether this parameter is honored depends on the specific datastore implementation.
Returns: - refs :
list[lsst.daf.butler.DatasetRef] Dataset references for ingested raws.
Raises: - RuntimeError
Raised if the number of exposures found for a photodiode file is not one
- files : iterable over
-
timer(name, logLevel=10)¶ Context manager to log performance data for an arbitrary block of code.
Parameters: See also
timer.logInfoExamples
Creating a timer context:
with self.timer("someCodeToTime"): pass # code to time
- config :