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# This file is part of pipe_base. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (http://www.lsst.org). 

# See the COPYRIGHT file at the top-level directory of this distribution 

# for details of code ownership. 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the GNU General Public License 

# along with this program. If not, see <http://www.gnu.org/licenses/>. 

 

"""Simple unit test for GraphBuilder class. 

""" 

 

import unittest 

 

import lsst.utils.tests 

from lsst.daf.butler import (Registry, RegistryConfig, SchemaConfig, 

DatasetOriginInfoDef) 

from lsst.pipe.base import (Struct, PipelineTask, PipelineTaskConfig, 

InputDatasetField, OutputDatasetField, 

InitInputDatasetField, InitOutputDatasetField, 

GraphBuilder, Pipeline, TaskDef, TaskFactory) 

from lsst.pipe.base.graphBuilder import _TaskDatasetTypes 

 

 

class OneToOneTaskConfig(PipelineTaskConfig): 

input = InputDatasetField(name="input", 

dimensions=["Instrument", "Visit"], 

storageClass="example", 

scalar=True, 

doc="Input dataset type for this task") 

output = OutputDatasetField(name="output", 

dimensions=["Instrument", "Visit"], 

storageClass="example", 

scalar=True, 

doc="Output dataset type for this task") 

initInput = InitInputDatasetField(name="initInput", 

storageClass="example", 

doc="InitInput test") 

initOutput = InitOutputDatasetField(name="initOutput", 

storageClass="example", 

doc="InitOutput test") 

 

def setDefaults(self): 

# set dimensions of a quantum, this task uses per-visit quanta and it 

# expects dataset dimensions to be the same 

self.quantum.dimensions = ["Instrument", "Visit"] 

 

 

class VisitToPatchTaskConfig(PipelineTaskConfig): 

input = InputDatasetField(name="input", 

dimensions=["Instrument", "Visit"], 

storageClass="example", 

scalar=False, 

doc="Input dataset type for this task") 

output = OutputDatasetField(name="output", 

dimensions=["SkyMap", "Tract", "Patch"], 

storageClass="example", 

scalar=True, 

doc="Output dataset type for this task") 

 

def setDefaults(self): 

# set dimensions of a quantum, this task uses per-visit quanta and it 

# expects dataset dimensions to be the same 

self.quantum.dimensions = ["SkyMap", "Tract", "Patch"] 

 

 

class TaskOne(PipelineTask): 

ConfigClass = OneToOneTaskConfig 

_DefaultName = "task_one" 

 

def run(self, input): 

output = [] 

return Struct(output=output) 

 

 

class TaskTwo(PipelineTask): 

ConfigClass = VisitToPatchTaskConfig 

_DefaultName = "task_two" 

 

def run(self, input): 

output = [] 

return Struct(output=output) 

 

 

class TaskFactoryMock(TaskFactory): 

def loadTaskClass(self, taskName): 

if taskName == "TaskOne": 

return TaskOne, "TaskOne" 

elif taskName == "TaskTwo": 

return TaskTwo, "TaskTwo" 

 

def makeTask(self, taskClass, config, overrides, butler): 

if config is None: 

config = taskClass.ConfigClass() 

if overrides: 

overrides.applyTo(config) 

return taskClass(config=config) 

 

 

@unittest.skip("Registry missing, Will be fixed in DM-16833") 

class GraphBuilderTestCase(unittest.TestCase): 

"""A test case for GraphBuilder class 

""" 

 

def _makePipeline(self): 

config1 = OneToOneTaskConfig() 

config2 = VisitToPatchTaskConfig() 

config2.input.name = config1.output.name 

config2.output.name = "output2" 

 

tasks = [TaskDef("TaskOne", config1, TaskOne), 

TaskDef("TaskTwo", config2, TaskTwo)] 

return Pipeline(tasks) 

 

def _checkQuantum(self, datasets, DSClass, expectedValues): 

self.assertEqual(len(datasets), 1) 

for key, values in datasets.items(): 

self.assertIs(key, DSClass) 

self.assertEqual(len(values), 1) 

for val in values: 

self.assertTrue(val.number.value in expectedValues) 

 

def test_makeFullIODatasetTypes(self): 

"""Test for _makeFullIODatasetTypes() implementation. 

""" 

taskFactory = TaskFactoryMock() 

reg = Registry.fromConfig(RegistryConfig(), SchemaConfig()) 

gbuilder = GraphBuilder(taskFactory, reg) 

 

# build a pipeline 

tasks = self._makePipeline() 

 

# collect inputs/outputs from each task 

taskDatasets = [] 

for taskDef in tasks: 

taskClass = taskDef.taskClass 

taskInputs = taskClass.getInputDatasetTypes(taskDef.config) or {} 

taskInputs = [dsTypeDescr.datasetType for dsTypeDescr in taskInputs.values()] 

taskOutputs = taskClass.getOutputDatasetTypes(taskDef.config) or {} 

taskOutputs = [dsTypeDescr.datasetType for dsTypeDescr in taskOutputs.values()] 

 

taskInitInputs = taskClass.getInitInputDatasetTypes(taskDef.config) or {} 

taskInitInputs = [dsTypeDescr.datasetType for dsTypeDescr in taskInitInputs.values()] 

 

taskInitOutputs = taskClass.getInitOutputDatasetTypes(taskDef.config) or {} 

taskInitOutputs = [dsTypeDescr.datasetType for dsTypeDescr in taskInitOutputs.values()] 

taskDatasets.append(_TaskDatasetTypes(taskDef=taskDef, 

inputs=taskInputs, 

outputs=taskOutputs, 

initInputs=taskInitInputs, 

initOutputs=taskInitOutputs)) 

 

# make inputs and outputs from per-task dataset types 

inputs, outputs, initInputs, initOutputs = gbuilder._makeFullIODatasetTypes(taskDatasets) 

 

self.assertIsInstance(inputs, set) 

self.assertIsInstance(outputs, set) 

self.assertIsInstance(initInputs, set) 

self.assertIsInstance(initOutputs, set) 

self.assertEqual([x.name for x in inputs], ["input"]) 

self.assertEqual(set(x.name for x in outputs), set(["output", "output2"])) 

self.assertEqual([x.name for x in initInputs], ['initInput']) 

self.assertEqual([x.name for x in initOutputs], ['initOutputs']) 

 

def test_makeGraph(self): 

"""Test for makeGraph() implementation. 

""" 

taskFactory = TaskFactoryMock() 

reg = Registry.fromConfig(RegistryConfig(), SchemaConfig()) 

gbuilder = GraphBuilder(taskFactory, reg) 

 

pipeline = self._makePipeline() 

collection = "" 

userQuery = None 

coll = DatasetOriginInfoDef([collection], collection) 

graph = gbuilder.makeGraph(pipeline, coll, userQuery) 

 

self.assertEqual(len(graph), 2) 

taskDef = graph[0].taskDef 

self.assertEqual(taskDef.taskName, "TaskOne") 

self.assertEqual(taskDef.taskClass, TaskOne) 

# TODO: temporary until we add some content to regitry 

# quanta = graph[0].quanta 

# self.assertEqual(len(quanta), 10) 

# for quantum in quanta: 

# self._checkQuantum(quantum.inputs, Dataset1, range(10)) 

# self._checkQuantum(quantum.outputs, Dataset2, range(10)) 

 

taskDef = graph[1].taskDef 

self.assertEqual(taskDef.taskName, "TaskTwo") 

self.assertEqual(taskDef.taskClass, TaskTwo) 

# TODO: temporary until we add some content to regitry 

# quanta = graph[1].quanta 

# self.assertEqual(len(quanta), 10) 

# for quantum in quanta: 

# self._checkQuantum(quantum.inputs, Dataset2, range(10)) 

# self._checkQuantum(quantum.outputs, Dataset3, range(10)) 

 

def test_makeGraphSelect(self): 

"""Test for makeGraph() implementation with subset of data. 

""" 

taskFactory = TaskFactoryMock() 

reg = Registry.fromConfig(RegistryConfig(), SchemaConfig()) 

gbuilder = GraphBuilder(taskFactory, reg) 

 

pipeline = self._makePipeline() 

collection = "" 

userQuery = "1 = 1" 

coll = DatasetOriginInfoDef([collection], collection) 

graph = gbuilder.makeGraph(pipeline, coll, userQuery) 

 

self.assertEqual(len(graph), 2) 

taskDef = graph[0].taskDef 

self.assertEqual(taskDef.taskName, "TaskOne") 

self.assertEqual(taskDef.taskClass, TaskOne) 

# TODO: temporary until we implement makeGraph() 

# quanta = graph[0].quanta 

# self.assertEqual(len(quanta), 3) 

# for quantum in quanta: 

# self._checkQuantum(quantum.inputs, Dataset1, [1, 5, 9]) 

# self._checkQuantum(quantum.outputs, Dataset2, [1, 5, 9]) 

 

taskDef = graph[1].taskDef 

self.assertEqual(taskDef.taskName, "TaskTwo") 

self.assertEqual(taskDef.taskClass, TaskTwo) 

# TODO: temporary until we implement makeGraph() 

# quanta = graph[1].quanta 

# self.assertEqual(len(quanta), 3) 

# for quantum in quanta: 

# self._checkQuantum(quantum.inputs, Dataset2, [1, 5, 9]) 

# self._checkQuantum(quantum.outputs, Dataset3, [1, 5, 9]) 

 

 

class MyMemoryTestCase(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

254 ↛ 255line 254 didn't jump to line 255, because the condition on line 254 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()