My usecase is sorting and removing duplicates and getting count from a file that has json messages as a individual rows.

I am currently planning to use pandas for this purpose as its really fast. Below are the steps i am following

1) call a python function (called function) from IRIS classmethod(calling function)

2) the call python function will read the json file in a dataframe

3) perform sorting, dup removal, count in the dataframe

4) convert the dataframe into iris stream

5) return back the stream to iris calling function class method

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Is it possible to get the length of queue for a production using Python code?

I'm using embedded Python at the moment.

I'd like to use the Python external language server later - the Python external server will not start in my environment.

If it is possible to query the production queue length programmically, please advise how?

It would also be nice to show the number of messages processed per second, if IRIS keeps track of this.

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Hello,

When setting up a new web app in iris (iris is in a container) iris complains that a WSGI framework is not installed. I have installed python into the container as well as both flask and django via the python virtual environment (see second screenshot) and the python language server is running

Is this the wrong way to install flask? How do I get the container version to recoginize that flask is installed?

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