#Python

Hi, I need to use some pythonic library from cos.
To use them I need a python dict with some python object in it
Ex in python:

obj = pythonObject("value1")
dict = {object : obj  ,key : "value2"}
result = pythonFunc(dict)

To do that I first tried to pass by dynamic object, to later convert them in dict from Json. But unfortunately the dynamic object doesn't accept python object inside it. And my pythonic function need to have an instance of my python object.

Hi, I'm trying to use the iris python package to create a connection to and Iris Health instance (Docker Container), but getting and error. I can login to the instance using the UI with the same uname/password but unable to create the python connection. Any suggestions?

conn = iris.connect("testserver",52222,"%SYS","username","password")

After executing this I get an exception trap
An error occurred: Invalid Message Count: expected: 1 got: 825110831

If anyone has experience debugging Embedded Python or has insight into why an ObjectScript method when called from a Python method would not work but would work when called directly via ObjectScript or in a Python shell, your help would be appreciated! 

We have an ObjectScript ClassMethod called GetTemplateString() which takes in a templateName of String type and uses the template name to get the template object, access the Code, and read the code into a templateString. The string version of the Code is returned.

I am brand new to using AI. I downloaded some medical visit progress notes from my Patient Portal. I extracted text from PDF files. I found a YouTube video that showed how to extract metadata using an OpenAI query / prompt such as this one:

ollama-ai-iris/data/prompts/medical_progress_notes_prompt.txt at main · oliverwilms/ollama-ai-iris
 

I combined @Rodolfo Pscheidt Jr https://github.com/RodolfoPscheidtJr/ollama-ai-iris with some files from @Guillaume Rongier https://openexchange.intersystems.com/package/iris-rag-demo.

I attempted to run

python3 query_data.

I read the article by @Rodolfo Pscheidt Jr:

https://community.intersystems.com/post/ollama-ai-iris

I forked his app and copied selected files from @Guillaume Rongier iris-rag-demo to make it containerized:

ollama-ai-iris/test_conn.py at 3da62770a90e34eff92241abbfc4f2c2a7027898 · oliverwilms/ollama-ai-iris
 

I struggle to understand what each element is or I do not understand why the code does not work:

url = f"iris://teste:teste@localhost:51774/TESTE"
 

Is teste:teste refer to username / password? I tried _SYSTEM:SYS

Is 51774 webserver port? Is TESTE namespace?

When registering the components: I used this command:
"Utils.migrate("/external/src/CoreModel/Python/settings.py)" ;
The error appears: "An error has occurred: iris.cls: error finding class",
I changed with these two lines:
result = subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True)
subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.DEVNULL, stderr=subprocess.

Hence the question: is there a way to do that?
The goal is to get data (from half a thousand to 3-4 thousands lines) from DB, calculate standart deviation  then use it as logical condition in analyzer. 
For example IF std > custom_value = show_the_result ELSE null
There is a STDDEV(MDX) method  used in Analyzer but it is a measure and it can not be used as logical condition (correct me if i am wrong)

And there is a Embedded Python with numpy, but logic behind STDDEV(MDX) and numpy.

Or can I change namespaces within one connection object?

I combined @Rodolfo Pscheidt https://github.com/RodolfoPscheidtJr/ollama-ai-iris with some files from @Guillaume Rongier https://openexchange.intersystems.com/package/iris-rag-demo.

My own project is https://github.com/oliverwilms/ollama-ai-iris

I can run load_data.py and it connects to IRIS (same container).

When I try to run query_data.py https://github.com/oliverwilms/ollama-ai-iris/blob/main/query_data.py , it cannot connect to ollama:

ConnectionError: Failed to connect to Ollama. Please check that Ollama is downloaded, running and accessible.

I wonder if I need to add in query_data.

I have a flask application, its working locally. I also have a iris for health 2024.3 docker container front-ended with the iris nginx container.

I can configure the WSGI application with iris for health, give it a "url" (/flask or /csp/flask) but I cannot access the flask application. It looks like the url is not found within the nginx configuration. Is there any documentation or suggestion for configuration/enabling a flask app with a IRIS container front ended with the nginx container (provided by intersystems container registry) 

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?

Hi all.

I'm trying to create an indexed table with an vector field so I can search by the vector value.
I've been investigating and found that to get the vector value based on the text (token), use a Python method like the following:

ClassMethod TokenizeData(desc As%String) As%String [ Language = python ]
{
    import iris
    # Step 2: Generate Document Embeddings
    from sentence_transformers import SentenceTransformer

    model = SentenceTransformer('/opt/irisbuild/all-MiniLM-L6-v2')

    # Generate embeddings for each document
    document_embeddings = model.

Hello,

I'm trying to connect a Python backend application to an InterSystems IRIS Community Edition instance running in a Docker container on an AWS EC2 instance. I'm facing persistent connection issues and an SSL Error despite the Superserver apparently having SSL disabled. I'm hoping for some insight into what might be causing this contradictory behavior.

My Setup:

• InterSystems IRIS: Community Edition (Docker image intersystems/iris-community:2025.1)
• Deployment: AWS EC2 (Ubuntu) instance.
• Port Mapping: Host port 9091 mapped to container port 1972 (Superserver).

I’ve been exploring options for connecting Google Cloud Pub/Sub with InterSystems IRIS/HealthShare, but I noticed that IRIS doesn’t seem to ship with any native inbound/outbound adapters for Pub/Sub. Out of the box, IRIS offers adapters for technologies like Kafka, HTTP, FTP, and JDBC, which are great for many use cases, but Pub/Sub appears to be missing from the list.

Has anyone here implemented such an integration successfully?

For example:

• Would it make sense to leverage IRIS’s Business Service + REST API adapter to connect to Google’s Pub/Sub REST endpoints?

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.

I was wondering what best practice was for using macros in Embedded Python, i.e. iris.execute('$$$MACRO()') or something else. Does anyone have insight into this?

I am trying to add Plotly Bar graph in a div to a CSPpage. I am working in IRIS 2022.1. I created persistent class.

I copied relevant code into github repo:

oliverwilms/iris-python-plotly
 

iris-python-plotly/csp/otwPlotly.csp at master · oliverwilms/iris-python-plotly
 

Set tPlotlyDiv = ##class(dc.python.test).PlotlyDiv(trnYear,trnMonth)

ClassMethod PlotlyDiv(pTrnYear = 2025, pTrnMonth = 8) As %String
{
    Set importlib = ##class(%SYS.Python).Import("importlib")
    Set plotdiv = ##class(%SYS.Python).Import("plotdiv")
    Do importlib.reload(plotdiv)
    Set div = plotdiv.

I have a custom Buffer class which is designed to capture written/printed statements to the device, to be able to transform the captured text to string or stream type. I have used this in ObjectScript to capture ObjectScript write statements and return a string. I would like to try to use this with a [ Language = python ] method as follows. This class will be called by a scheduled task.

/// ObjectScript code which initializes buffer to capture statements written in nested method callClassMethod CollectStringFromBuffer() 
{
    set buffer = ##class(CustomClass.Buffer).%New()
    do buffer.