Multidimensional properties can be found on certain classes.

These operate as a collection of values much like a Python dictionary.

Examples of properties that might be encountered:

Class Property Description
%Net.HttpRequest Params Name value pair of form parameters
%Net.HttpResponse Headers

HTTP Headers returned with web content returned:

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Article
· Apr 16, 2023 4m read
Tuples ahead

Overview

Cross-Skilling from IRIS objectScript to Python it becomes clear there are some fascinating differences in syntax.

One of these areas was how Python returns Tuples from a method with automatic unpacking.

Effectively this presents as a method that returns multiple values. What an awesome invention :)

out1, out2 = some_function(in1, in2)

ObjectScript has an alternative approach with ByRef and Output parameters.

Do ##class(some_class).SomeMethod(.inAndOut1, in2, .out2)

Where:

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Article
· Mar 29, 2023 1m read
Named Parameter In SQL with Python

Quick Tips: Total Productive Maintenance

Named parameters can be achieved with SQLAlchemy :

from sqlalchemy import create_engine, text,types,engine

_engine = create_engine('iris+emb:///')

with _engine.connect() as conn:
    rs = conn.execute(text("select :some_private_name"), {"some_private_name": 1})
    print(rs.all())

or with native api

from sqlalchemy import create_engine, text,types,engine

# set URL for SQLAlchemy
url = engine.url.URL.create('iris', username='SuperUser', password='SYS', host='localhost', port=33782, database='FHIRSERVER')

_engine = create_engine(url)

with _engine.connect() as conn:
    rs = conn.execute(text("select :some_private_name"), {"some_private_name": 1})
    print(rs.all())

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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"

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Hi Community,

In this article I will demonstrate below steps to add Interactive map and visualize geographic data to web application:

  • Step1 : Install Application
  • Step2 : Create CSP Page
  • Step3 : Extend dc.IrisGeoMap.Folium class
  • Step4 : Invoke DrawGeoDetails() Method

So Let us start.

Step1 : Install Application

First of all we need to install iris-geo-map application by using ZPM

zpm "install iris-geo-map"

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So, I know that I can return a SQL Error message from my SQL Procedure written in ObjectScript, with code like this

$ cat <<EOF | irissqlcli iris://_SYSTEM:SYS@localhost:1972/USER
CREATE or REPLACE PROCEDURE test()
LANGUAGE OBJECTSCRIPT
{
 SET %sqlcontext.%SQLCODE = 400
 SET %sqlcontext.%ROWCOUNT = -1
 SET %sqlcontext.%Message = "test error message"
};

CALL test();

EOF
[SQLCODE: <-400>:<Fatal error occurred>]
[Location: <SPFunction>]
[%msg: <test error message>]

But I did not find how to do it with Python. I can't find %sqlcontext variable available there

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I copied a 5 MB messages.log file to AWS where I have iris-log-viewer app deployed. I ran the test to see how it takes in IRIS code to import the lines into a persistent table:

IRISAPP>set m5mb="/home/irisowner/irisdev/messages.old_20221231.log"

IRISAPP>

IRISAPP>do ##class(otw.log.irislogreader).Test1(m5mb)
Test1 begins at 02/05/2023 12:49:30
ReadLogLines
/home/irisowner/irisdev/messages.old_20221231.log
Open
Test1 ends at 02/05/2023 12:49:34
Test1 execution time: 3.500789

select count(*) from otw_log.Log

63239

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Python has become the most used programming language in the world (source: https://www.tiobe.com/tiobe-index/) and SQL continues to lead the way as a database language. Wouldn't it be great for Python and SQL to work together to deliver new functionality that SQL alone cannot? After all, Python has more than 380,000 published libraries (source: https://pypi.org/) with very interesting capabilities to extend your SQL queries within Python.

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Applications that work with bill payments and receipts, as well as the delivery and inventory of items, generally require the use of barcodes or QR Codes. The latter is used in even broader scenarios since the QR Code can store more information than a simple bar code. Thus, it is important to have the ability to generate barcodes and QR Codes or read the data stored in them from an image or a PDF. This article will show you how to do this using Python and some of its free libraries.

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What is Web Scraping:

In simple terms, Web scraping, web harvesting, or web data extraction is an automated process of collecting large data(unstructured) from websites. The user can extract all the data on particular sites or the specific data as per the requirement. The data collected can be stored in a structured format for further analysis.

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Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Using Python with InterSystems IRIS @ Global Summit 2022

https://www.youtube.com/embed/CQqXkuWkHiY
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Hey Developers,

Watch this video to learn how InterSystems IRIS users are deploying Embedded Python to speed their application development:

Embedded Python Use Cases @ Global Summit 2022

https://www.youtube.com/embed/JMqpV-pgyDU
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Overview

We started to use Azure Service Bus (ASB) as an enterprise messaging solution 3 years ago. It is being used to publish and consume data between many applications in the organization. Since the data flow is complex, and one application’s data is usually needed in multi applications the “publisher” ---> ”multiple subscribers” model was a great fit. The ASB usage in the organization is dozens of millions of messages per day, while IRIS platform is having around 2-3 million messages/day.

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