<script><code>
<![CDATA[
-import numpy
-print "Entering in CreateAssimilationStudy"
-print "Name is", Name
-print "Algorithm is", Algorithm
-print "Debug is set to", Debug
+import numpy, logging
+logging.debug("CREATE Entering in CreateAssimilationStudy")
+print "Entering in the assimilation study"
+print "Name is set to........:", Name
+print "Algorithm is set to...:", Algorithm
+print "Debug is set to.......:", Debug
# Create Assimilation study
from daYacsIntegration.daStudy import *
assim_study.setAlgorithmParameters(AlgorithmParameters)
# Data
-print "Data entered are:"
+# print "Data entered are:"
+
# Background
try:
Background
except NameError:
pass
else:
- #print "Background is", Background
- #print "BackgroundType is", BackgroundType
+ logging.debug("CREATE Background is %s"%Background)
+ logging.debug("CREATE BackgroundType is %s"%BackgroundType)
assim_study.setBackgroundType(BackgroundType)
assim_study.setBackground(Background)
+# CheckingPoint
+try:
+ CheckingPoint
+except NameError:
+ pass
+else:
+ logging.debug("CREATE CheckingPoint is %s"%CheckingPoint)
+ logging.debug("CREATE CheckingPointType is %s"%CheckingPointType)
+ assim_study.setCheckingPointType(CheckingPointType)
+ assim_study.setCheckingPoint(CheckingPoint)
+
# BackgroundError
try:
BackgroundError
except NameError:
pass
else:
- #print "BackgroundError is", BackgroundError
- #print "BackgroundErrorType is", BackgroundErrorType
+ logging.debug("CREATE BackgroundError is %s"%BackgroundError)
+ logging.debug("CREATE BackgroundErrorType is %s"%BackgroundErrorType)
assim_study.setBackgroundError(BackgroundError)
# Observation
except NameError:
pass
else:
- #print "Observation is", Observation
- #print "ObservationType is", ObservationType
+ logging.debug("CREATE Observation is %s"%Observation)
+ logging.debug("CREATE ObservationType is %s"%ObservationType)
assim_study.setObservationType(ObservationType)
assim_study.setObservation(Observation)
except NameError:
pass
else:
- #print "ObservationError is", ObservationError
- #print "ObservationErrorType is", ObservationErrorType
+ logging.debug("CREATE ObservationError is %s"%ObservationError)
+ logging.debug("CREATE ObservationErrorType is %s"%ObservationErrorType)
assim_study.setObservationError(ObservationError)
# ObservationOperator
except NameError:
pass
else:
- #print "ObservationOperator is", ObservationOperator
- #print "ObservationOperatorType is", ObservationOperatorType
+ logging.debug("CREATE ObservationOperator is %s"%ObservationOperator)
+ logging.debug("CREATE ObservationOperatorType is %s"%ObservationOperatorType)
assim_study.setObservationOperatorType("Matrix", ObservationOperatorType)
assim_study.setObservationOperator("Matrix", ObservationOperator)
ObservationOperatorOk = 1
except NameError:
pass
else:
- #print "ObservationOperatorDirect is", ObservationOperatorDirect
+ logging.debug("CREATE ObservationOperatorDirect is %s"%ObservationOperatorDirect)
assim_study.setObservationOperatorType("Direct", "Function")
assim_study.setObservationOperator("Direct", ObservationOperatorDirect)
try:
except NameError:
pass
else:
- #print "ObservationOperatorTangent is", ObservationOperatorTangent
+ logging.debug("CREATE ObservationOperatorTangent is %s"%ObservationOperatorTangent)
assim_study.setObservationOperatorType("Tangent", "Function")
assim_study.setObservationOperator("Tangent", ObservationOperatorTangent)
try:
except NameError:
pass
else:
- #print "ObservationOperatorAdjoint is", ObservationOperatorAdjoint
+ logging.debug("CREATE ObservationOperatorAdjoint is %s"%ObservationOperatorAdjoint)
assim_study.setObservationOperatorType("Adjoint", "Function")
assim_study.setObservationOperator("Adjoint", ObservationOperatorAdjoint)
for name, size in zip(OutputVariablesNames, OutputVariablesSizes):
assim_study.setOutputVariable(name, size)
+if has_observers:
+ logging.debug("CREATE Observers is %s"%observers.keys())
+ # Adding observers to the study
+ for observer_name in observers.keys():
+ scheduler = ""
+ info = ""
+ number = str(observers[observer_name]["number"])
+ if "scheduler" in observers[observer_name].keys():
+ scheduler = observers[observer_name]["scheduler"]
+ if "info" in observers[observer_name].keys():
+ info = observers[observer_name]["info"]
+ assim_study.addObserver(observer_name, scheduler, info, number)
Study = assim_study
]]>
<inport name="InputVariablesSizes" type="intvec"/>
<inport name="OutputVariablesNames" type="stringvec"/>
<inport name="OutputVariablesSizes" type="intvec"/>
+ <inport name="has_observers" type="bool"/>
+ <inport name="observers" type="pyobj"/>
<outport name="Study" type="pyobj"/>
</inline>
<inline name="CreateNumpyMatrixFromString">
<script><code><![CDATA[
-print "Entering in CreateNumpyMatrixFromString"
-import numpy
+import numpy, logging
+logging.debug("CREATE Entering in CreateNumpyMatrixFromString")
matrix = numpy.matrix(matrix_in_string)
type = "Matrix"
-print "Matrix is", matrix
+logging.debug("CREATE Matrix is %s"%matrix)
]]></code></script>
<inport name="matrix_in_string" type="string"/>
<outport name="matrix" type="pyobj"/>
<inline name="CreateNumpyMatrixFromScript">
<script><code><![CDATA[
-print "Entering in CreateNumpyMatrixFromScript"
+import logging
+logging.debug("CREATE Entering in CreateNumpyMatrixFromScript")
type = "Matrix"
# Get file path and filename
<inline name="CreateNumpyVectorFromString">
<script><code><![CDATA[
-print "Entering in CreateNumpyVectorFromString"
-import numpy
+import numpy, logging
+logging.debug("CREATE Entering in CreateNumpyVectorFromString")
vector = numpy.matrix(vector_in_string)
type = "Vector"
-print "Vector is", vector
+logging.debug("Vector is %s"%vector)
]]></code></script>
<inport name="vector_in_string" type="string"/>
<outport name="vector" type="pyobj"/>
<inline name="CreateNumpyVectorFromScript">
<script><code><![CDATA[
-print "Entering in CreateNumpyVectorFromScript"
+import logging
+logging.debug("CREATE Entering in CreateNumpyVectorFromScript")
type = "Vector"
# Get file path and filename
<inline name="SimpleExecuteDirectAlgorithm">
<script><code><![CDATA[
-print "Entering in SimpleExecuteDirectAlgorithm"
+import logging
+logging.debug("EXECUTE Entering in SimpleExecuteDirectAlgorithm")
from daYacsIntegration.daStudy import *
ADD = Study.getAssimilationStudy()
ADD.analyze()
<inline name="SimpleUserAnalysis">
<script><code><![CDATA[
#-*-coding:iso-8859-1-*-
-print "Entering in SimpleUserAnalysis"
+import logging
+logging.debug("TERMINATE Entering in SimpleUserAnalysis")
from daYacsIntegration.daStudy import *
ADD = Study.getAssimilationStudy()
# User code is below
<inline name="FakeOptimizerLoopNode">
<script><code><![CDATA[
-print "Entering in FakeOptimizerLoopNode"
+import logging
+logging.debug("EXECUTE Entering in FakeOptimizerLoopNode")
result = None
]]></code></script>
<inport name="computation" type="SALOME_TYPES/ParametricInput"/>
<inline name="CreateDictFromScript">
<script><code><![CDATA[
-print "Entering in CreateDictFromScript"
+import logging
+logging.debug("CREATE Entering in CreateDictFromScript")
# Get file path and filename
import sys
<inline name="UserDataInitFromScript">
<script><code><![CDATA[
-print "Entering in UserDataInitFromScript"
+import logging
+logging.debug("CREATE Entering in UserDataInitFromScript")
# Get file path and filename
import sys
<outport name="init_data" type="pyobj"/>
</inline>
+ <inline name="ReadForSwitchNode">
+ <script><code><![CDATA[
+import logging
+logging.debug("CREATE Entering in ReadForSwitchNode")
+switch_value = -1
+for param in data["specificParameters"]:
+ if param["name"] == "switch_value":
+ switch_value = int(param["value"])
+]]></code></script>
+ <inport name="data" type="SALOME_TYPES/ParametricInput"/>
+ <outport name="data" type="SALOME_TYPES/ParametricInput"/>
+ <outport name="switch_value" type="int"/>
+ </inline>
+
+ <inline name="ExtractDataNode">
+ <script><code><![CDATA[
+import logging
+logging.debug("TERMINATE Entering in ExtractDataNode")
+import pickle
+from daCore.AssimilationStudy import AssimilationStudy
+var = None
+info = None
+for param in data["specificParameters"]:
+ if param["name"] == "var":
+ var = pickle.loads(param["value"])
+ if param["name"] == "info":
+ info = param["value"]
+]]></code></script>
+ <inport name="data" type="SALOME_TYPES/ParametricInput"/>
+ <outport name="var" type="pyobj"/>
+ <outport name="info" type="pyobj"/>
+ </inline>
+
+ <inline name="ObservationNodeString">
+ <script><code><![CDATA[
+#print "Entering in Observation"
+
+]]></code></script>
+ <inport name="var" type="pyobj"/>
+ <inport name="info" type="pyobj"/>
+ </inline>
+
+ <inline name="ObservationNodeFile">
+ <script><code><![CDATA[
+#print "Entering in Observation"
+execfile(script)
+
+]]></code></script>
+ <inport name="var" type="pyobj"/>
+ <inport name="info" type="pyobj"/>
+ <inport name="script" type="string"/>
+ </inline>
+
+ <inline name="EndObservationNode">
+ <script><code><![CDATA[
+# Create a fake output object.
+# An observer is always successful.
+output = {}
+output["outputValues"] = [[[[]]]]
+output["specificOutputInfos"] = []
+output["returnCode"] = 0
+output["errorMessage"] = ""
+]]></code></script>
+ <outport name="output" type="SALOME_TYPES/ParametricOutput"/>
+ </inline>
+
+ <inline name="SetObserversNode">
+ <script><code><![CDATA[
+#print "Setting observers"
+]]></code></script>
+ <outport name="has_observers" type="bool"/>
+ <outport name="observers" type="pyobj"/>
+ </inline>
</proc>
