Hi Guys,

I'm a newbie running IRIS in a container (IRIS for UNIX (Ubuntu Server LTS for x86-64 Containers) 2024.3 (Build 217U) Thu Nov 14 2024 17:30:43 EST) and trying to setup Python so I can start working on ML & Autosklearn,my understanding is that IRIS already comes with embedded Python but unable to do something like "import pandas as pd" in VSCode which looks like I need install a more complete version of Python or packages, so what I'm missing?

Hello community,

How to install the iris package installer for Python (pip) in python and import iris package in python source code.

import iris
class Solution():
    iris.connection()

thanks!

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It is possible to update Cache object property from Python using the following Python code, with import of intersys.pythonbind3:

my_object.set("my_property",["A","B","C"])

However, I am unable to save 2D %List with 2D Python array like the following:

my_object.set("my_property",[["A","B","C"],["1","2","3"]])

I am not sure whether this is Python-Cache bind flaw or design issue. Is there any alternative/ workaround to do the same for above?

I'm looking into finding ways to fetch data from cache efficiently and work with it with python - specially pandas.

i tried the following but i'm wondering if this is the most efficient way?

to run the stored procedure as %ResultSet inside cache in a classmethod and serialize the data to JSON

and then call that class method from python

I have table

CREATE TABLE nodes (
        name VARCHAR(50) NOT NULL, 
        parent VARCHAR(50), 
        PRIMARY KEY (name), 
        FOREIGN KEY(parent) REFERENCES nodes (name) ON UPDATE cascade
);

I put some data

INSERT INTO nodes (name, parent) VALUES ('n1', NULL);
INSERT INTO nodes (name, parent) VALUES ('n11', 'n1');
INSERT INTO nodes (name, parent) VALUES ('n12', 'n1');
INSERT INTO nodes (name, parent) VALUES ('n13', 'n1');

Let's delete all

DELETE FROM nodes;

Nope, no way.

SQL Error [124] [S1000]: [SQLCODE: <-124>:<FOREIGN KEY constraint failed referential check upon DELETE of row in referenced table>]
[Location: <ServerLoop>]
[%msg: <At least 1 Row exists in table 'SQLUser.nodes' which references key 'NODESPKey2' - Foreign Key Constraint 'NODESFKey3', Field(s) 'parent' failed on referential action of NO ACTION>]

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.DEVNULL, check=True)

I have a simple python script to pull table information from cache 2018.1.2 which is on a windows 10 machine. I get no results though the same query in the management portal works correctly:

import os
import sys
import intersys.pythonbind3 as ipyb
import numpy as np

# Connect to the Cache' database
url = "localhost[1972]:%SYS"
user = "xxxx"
password = "zzzzz"

accessKey = (url, user, password)

def main(accessKey):

Hi, I am trying to use embedded python in a cache class, but I can only get it to work in the source code namespace.

In article

https://community.intersystems.com/print/518106

Traceback (most recent call last):
File "c:\Users\rochesterd\PythonScripts\fhir_stuff\fhir-client-python-main\fhir-client-python-main\src\client.py", line 57, in <module>
patient0 = Patient.parse_obj(patients_resources.search(
AttributeError: 'NoneType' object has no attribute 'serialize'

Hello,

I've recently updated the python version of a linux server running Red Hat Enterprise Linux 8.10 (Ootpa). We have an instance 2023.1 running there, and whenever I run the $System.Pyhthon.Shell() I can see it's still pointing to the old version. From within linux, it runs the latest one (we've change all the links to the new 3.11, so no scripts are broken).

So I guess the problem comes from the fact irispython is still compiled using old python version. So, how can I do to force IRIS to use the current version on the server, or update the irispython file?

I'm exploring this right now: given a bunch of types defined as Pydantic models, how can I come up with an equivalent %RegisteredObject/%SerialObject and convert to/from (e.g., to support persistence and match validation as much as possible)?

People who know Python better than I do (e.g., your average undergraduate from this decade): is this a stupid idea or a cool idea? Has anyone else done this before?

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