lsst.pipe.base

The lsst.pipe.base module provides base classes for the task framework. Tasks package the algorithmic units of the LSST Science Pipelines. You can create, configure, and run tasks with their Python APIs. Some tasks, called command-line tasks, are also packaged into data processing pipelines that you can run from the command line.

Contributing

lsst.pipe.base is developed at https://github.com/lsst/pipe_base. You can find Jira issues for this module under the pipe_base component.

Python API reference

lsst.pipe.base Package

Functions

iterConnections(connections, connectionType, …) Creates an iterator over the selected connections type which yields all the defined connections of that type.
logInfo(obj, prefix[, logLevel]) Log timer information to obj.metadata and obj.log.
timeMethod(func) Decorator to measure duration of a task method.

Classes

ArgumentParser(name[, usage]) Argument parser for command-line tasks that is based on argparse.ArgumentParser.
ButlerInitializedTaskRunner(TaskClass, parsedCmd) A TaskRunner for CmdLineTasks that require a butler keyword argument to be passed to their constructor.
ButlerQuantumContext(butler, quantum) A Butler-like class specialized for a single quantum
CmdLineTask([config, name, parentTask, log]) Base class for command-line tasks: tasks that may be executed from the command-line.
ConfigDatasetType(name) Dataset type specified by a config parameter.
ConfigFileAction(option_strings, dest[, …]) argparse action to load config overrides from one or more files.
ConfigValueAction(option_strings, dest[, …]) argparse action callback to override config parameters using name=value pairs from the command-line.
DataIdContainer([level]) Container for data IDs and associated data references.
DatasetArgument([name, help, default]) Dataset type specified by a command-line argument.
DeferredDatasetRef Class which denotes that a datasetRef should be treated as deferred when interacting with the butler
GraphBuilder(registry[, skipExisting]) GraphBuilder class is responsible for building task execution graph from a Pipeline.
IncompatibleGraphError Exception class to indicate that a lookup by NodeId is impossible due to incompatibilities
InputOnlyArgumentParser(name[, usage]) ArgumentParser for command-line tasks that don’t write any output.
InputQuantizedConnection(**kwargs)
LabelSpecifier(labels, begin, end) A structure to specify a subset of labels to load
LegacyTaskRunner(TaskClass, parsedCmd[, …]) A TaskRunner for CmdLineTasks which calls the Task’s run method on a dataRef rather than the runDataRef method.
NodeId(number, buildId) This represents an unique identifier of a node within an individual construction of a QuantumGraph.
OutputQuantizedConnection(**kwargs)
Pipeline(description) A Pipeline is a representation of a series of tasks to run, and the configuration for those tasks.
PipelineDatasetTypes(initInputs, …) An immutable struct that classifies the dataset types used in a Pipeline.
PipelineTask(*[, config, log, initInputs]) Base class for all pipeline tasks.
PipelineTaskConfig Configuration class for PipelineTask
PipelineTaskConnections(*, config) PipelineTaskConnections is a class used to declare desired IO when a PipelineTask is run by an activator
QuantumGraph(quanta, …) QuantumGraph is a directed acyclic graph of QuantumNode objects
QuantumNode(quantum, taskDef, nodeId) This class represents a node in the quantum graph.
ResourceConfig Configuration for resource requirements.
Struct(**keyArgs) A container to which you can add fields as attributes.
Task([config, name, parentTask, log]) Base class for data processing tasks.
TaskDatasetTypes(initInputs, initOutputs, …) An immutable struct that extracts and classifies the dataset types used by a PipelineTask
TaskDef(taskName, config[, taskClass, label]) TaskDef is a collection of information about task needed by Pipeline.
TaskError Use to report errors for which a traceback is not useful.
TaskFactory Abstract base class for task factory.
TaskRunner(TaskClass, parsedCmd[, …]) Run a command-line task, using multiprocessing if requested.

Class Inheritance Diagram

Inheritance diagram of lsst.pipe.base.argumentParser.ArgumentParser, lsst.pipe.base.cmdLineTask.ButlerInitializedTaskRunner, lsst.pipe.base.butlerQuantumContext.ButlerQuantumContext, lsst.pipe.base.cmdLineTask.CmdLineTask, lsst.pipe.base.argumentParser.ConfigDatasetType, lsst.pipe.base.argumentParser.ConfigFileAction, lsst.pipe.base.argumentParser.ConfigValueAction, lsst.pipe.base.argumentParser.DataIdContainer, lsst.pipe.base.argumentParser.DatasetArgument, lsst.pipe.base.connections.DeferredDatasetRef, lsst.pipe.base.graphBuilder.GraphBuilder, lsst.pipe.base.graph.graph.IncompatibleGraphError, lsst.pipe.base.argumentParser.InputOnlyArgumentParser, lsst.pipe.base.connections.InputQuantizedConnection, lsst.pipe.base.pipeline.LabelSpecifier, lsst.pipe.base.cmdLineTask.LegacyTaskRunner, lsst.pipe.base.graph.quantumNode.NodeId, lsst.pipe.base.connections.OutputQuantizedConnection, lsst.pipe.base.pipeline.Pipeline, lsst.pipe.base.pipeline.PipelineDatasetTypes, lsst.pipe.base.pipelineTask.PipelineTask, lsst.pipe.base.config.PipelineTaskConfig, lsst.pipe.base.connections.PipelineTaskConnections, lsst.pipe.base.graph.graph.QuantumGraph, lsst.pipe.base.graph.quantumNode.QuantumNode, lsst.pipe.base.config.ResourceConfig, lsst.pipe.base.struct.Struct, lsst.pipe.base.task.Task, lsst.pipe.base.pipeline.TaskDatasetTypes, lsst.pipe.base.pipeline.TaskDef, lsst.pipe.base.task.TaskError, lsst.pipe.base.taskFactory.TaskFactory, lsst.pipe.base.cmdLineTask.TaskRunner

lsst.pipe.base.testUtils Module

Functions

makeQuantum(task, butler, dataId, ioDataIds) Create a Quantum for a particular data ID(s).
runTestQuantum(task, butler, quantum[, mockRun]) Run a PipelineTask on a Quantum.
assertValidOutput(task, result) Test that the output of a call to run conforms to its own connections.

lsst.pipe.base.connectionTypes Module

Classes

InitInput(name, storageClass, doc, multiple)
InitOutput(name, storageClass, doc, multiple)
Input(name, storageClass, doc, multiple, …)
PrerequisiteInput(name, storageClass, doc, …) Class used for declaring PipelineTask prerequisite connections
Output(name, storageClass, doc, multiple, …)
BaseConnection(name, storageClass, doc, multiple) Base class used for declaring PipelineTask connections

Class Inheritance Diagram

Inheritance diagram of lsst.pipe.base.connectionTypes.InitInput, lsst.pipe.base.connectionTypes.InitOutput, lsst.pipe.base.connectionTypes.Input, lsst.pipe.base.connectionTypes.PrerequisiteInput, lsst.pipe.base.connectionTypes.Output, lsst.pipe.base.connectionTypes.BaseConnection

lsst.pipe.base.pipelineIR Module

Classes

ConfigIR(python, dataId, file, rest) Intermediate representation of configurations read from a pipeline yaml file.
ContractError An exception that is raised when a pipeline contract is not satisfied
ContractIR(contract, msg) Intermediate representation of contracts read from a pipeline yaml file.
ImportIR(location, include, exclude, …) An intermediate representation of imported pipelines
PipelineIR(loaded_yaml) Intermediate representation of a pipeline definition
TaskIR(label, klass, config) Intermediate representation of tasks read from a pipeline yaml file.
LabeledSubset(label, subset, description) Intermediate representation of named subset of task labels read from a pipeline yaml file.

Class Inheritance Diagram

Inheritance diagram of lsst.pipe.base.pipelineIR.ConfigIR, lsst.pipe.base.pipelineIR.ContractError, lsst.pipe.base.pipelineIR.ContractIR, lsst.pipe.base.pipelineIR.ImportIR, lsst.pipe.base.pipelineIR.PipelineIR, lsst.pipe.base.pipelineIR.TaskIR, lsst.pipe.base.pipelineIR.LabeledSubset