Possible to get list of states, enumerate variables, get results? #1128
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I am trying to find a periodic steady state for a model, i.e. where the solution is fully periodic in time, see here. As available OM optimisation facilities are not appropriate for such a problem, I'm currently trying to attack this (scripted in Python) by
I am wondering if it is possible/feasible in OMSimulator to :
Or is this not something OMSimulator is intended to provide, and I should rather turn towards PyFMI of FMPy? |
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Replies: 1 comment 4 replies
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@bilderbuchi we are planning to implement such features and it will be available quite soon. |
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@bilderbuchi The following example shows how to query a list of all variables with type and kind attributes. import OMSimulator as oms
import xml.etree.ElementTree as ET
import pprint
[...]
model = oms.newModel("myModel")
[...]
# extract all variables with type and kind attributes
_signals = {}
signalFilter = model.exportSnapshot(':resources/signalFilter.xml')
root = ET.fromstring(signalFilter)
for var in root[0][0]:
name = var.attrib['name']
type_ = var.attrib['type']
kind = var.attrib['kind']
_signals[name] = {'type': type_, 'kind': kind}
pprint.pprint(_signals, width=120)And this is an example output produced with the code above: Everything else you requested will be available soon as mentioned by @arun3688 😃 |
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That helps, thanks! |
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@lochel that was useful, although it does not seem to be possible to identify states based e.g. on the |
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Right, this approach also came to our mind but it is unfortunately not sufficient. Even though it will work in most cases I suppose. Another idea was to put “state” instead for “unknown” into the signalFilter. But that is also not sufficient since, e.g., a variable could be output and state at the same time. |
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@bilderbuchi we are planning to implement such features and it will be available quite soon.