In my previous articles, I described my Command Line Extension to NativeAPI.
Of course, this is also available for any other NativeAPI package.
So I created this example in Python as a demo.

Pyodbc supports calling stored procedure , but if the IRIS Stored Procedure ROWSPEC has a column with datatype specified as %Date or %Time, Pyodbc fails to fetch it and throws this error.

"

pyodbc.Error: (' 2201', '[ 2201] [Cache ODBC][State : 22018 ][Native Code 22005]\r\nERROR #388: Unknown error, code 22005 (22005) (SQLGetData)')

"

on printing the cursor execute description, pyodbc reads the column as <int>.

I implemented a Python Flask application for the 2024 Python Contest with a page that provides common form fields for an outgoing email such as the To and CC fields. And it lets you input a message as well as uploading text based attachments.

Then using LlamaIndex in Python, the app analyzes the content you put in and returns to you in a result box if there is anything that should stop you from sending that email.

Take a look at the Github repo here.

If you are using Python, you can use the built-in venv module to create a virtual environment. This module is the recommended way to create and manage virtual environments.

A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. It solves the “Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keeps your global site-packages directory clean and manageable.

So if like me you work a lot with Python, you can use the venv module to create a virtual environment for your project. This will allow you to install packages without affecting the global Python installation.

You will find here two neat alias to create and activate a virtual environment.

Python aliases

alias venv="python3 -m venv .venv; source .venv/bin/activate"
alias irisvenv="python3 -m venv .venv; source .venv/bin/activate; pip install https://github.com/grongierisc/iris-embedded-python-wrapper/releases/download/v0.0.3/iris-0.0.3-py3-none-any.whl"

We're having a problem with the way Python modules are being cached in Iris. If we modify some code and then reimport a module it is still processing the old code.

E.g. Create a python file:

helloWorld.py

def helloWorld() :
return "Hello world"

The run the following in the Iris terminal:

who has tried "python gateway" in OpenExchange, could you please tell me how to execute code in a local .py file? a cusotmer engineer ask me the question while I don't have time to study it yet. Thank you very much.

Hey Community!

Here are the bonuses for participants' articles that take part in InterSystems Tech Article Contest: Python Edition:

We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

This is a benchmark built in python and objectscript in InterSystems IRIS.

The objective is to compare the speed for sending back and forth a thousand request/message from a BP to a BO in python and in objectscript.

See https://github.com/LucasEnard/benchmark-python-objectscript for more information.

In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.

In this post, we will:

• Compare REST and GraphQL.
• Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
• Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
• Explore how to deploy your GraphQL server as a WSGI application in IRIS.

I have just created a new Global Master Topic, "IRIS Cheatsheets". IRIS has introduced a lot of new functionality, especially in scripting languages, FHIR R4 support, enhanced Interoperability Tools, and IRIS Analytics. Having spent 35 years working on Windows-based PC's and Laptops, I have surprisingly little knowledge of Linux, Docker and Git. Furthermore, I have written almost every application and Interface in ObjectScript with splatterings of SQL, .Net, and Java Gateways and the most basic knowledge of WinSCP, Putty, SSH. All that changed when I received my first Raspberry Pi.

Frontend development can be a daunting, even nightmarish, task for backend-focused developers. Early in my career, the lines between frontend and backend were blurred, and everyone was expected to handle both. CSS, in particular, was a constant struggle; it felt like an impossible mission.

New to Python. Attempting to use pypyodbc to select data from a table in one Cache database, and inserting into a similarly configured table in another. Process works fine except for tables containing Date types. NULL values in date columns are handled without issue, but when data is present, insert fails with:

An error occurred: argument 7: TypeError: 'NoneType' object cannot be interpreted as an integer.

Source table:

Is there a way to automatically transform Object Script arrays to Python lists? This code results in a list of arrays

Iter0 =  dbnative.iterator("HS.Data.OIDMapD")
for subscript, value in Iter0.items():
    print(f"subscript={subscript}, value={value}")

Here is the result:

subscript=1, value=2.16.840.1.113883.3.86ISCInterSystems Corporation

I suppose it would be too hard to parse this into a list, I was just wondering if there was a function provided to make it convenient and proper.

Thanks,

Marlin Mixon