Article
· Jun 13, 2023 2m read
OEX mapping #2

Technology Strategy

When I started this project I had set myself limits:
Though there is a wide range of almost ready-to-use modules in various languages
and though IRIS has excellent facilities and interfaces to make use of them
I decided to solve the challenge "totally internal" just with embedded Python, SQL, ObjectScript
Neither Java, nor Nodes, nor Angular, PEX, ... you name it.
The combination of embedded Python and SQL is preferred. ObjectScript is just my last chance.

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Written in reply to community post for can Python create HL7 Message dynamically.

Pre-requisites and setup

Use an integration enabled namespace.
Note: USER namespace is not enabled for interoperability by default.
If following suggest create a new interoperatibility namespace to explore functionality.

# Switch to
ZN "[Interoperability Namespace Name]"

# Launch interactive Python shell:
Do $SYSTEM.Python.Shell()

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I'm proud to announce the new release of iris-pex-embedded-python (v2.3.1) with a new command line interface.

This command line is called iop for Interoperability On Python.

First I would like to present in few words the project the main changes since the version 1.

A breif history of the project

Version 1.0 was a proof of concept to show how the interoperability framework of IRIS can be used with a python first approach while remaining compatible with any existing ObjectScript code.

What does it mean? It means that any python developer can use the IRIS interoperability framework without any knowledge of ObjectScript.

Example :

from grongier.pex import BusinessOperation

class MyBusinessOperation(BusinessOperation):

    def on_message(self, request):
        self.log.info("Received request")

Great, isn't it?

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Methods written in ObjectScript can use pass-by-reference arguments to return information to the caller. Python doesn’t support pass-by-reference arguments, so Embedded Python in IRIS doesn’t support them either. That's it, that's the end of the post, hope you liked it. 😉 But wait, what about the Classic Rock & Roll?

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cover

In this article, I will show you how one can easily create and read Microsoft Word documents using InterSystems IRIS with the leverage power of embedded Python.

Setup

First things first, let’s install the Python module called python-docx. There are a lot of modules to write MS Word files in Python. However, this one is the easiest one to use.

Just execute the following command on the terminal:

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Let me introduce my new project, which is irissqlcli, REPL (Read-Eval-Print Loop) for InterSystems IRIS SQL

  • Syntax Highlighting
  • Suggestions (tables, functions)
  • 20+ output formats
  • stdin support
  • Output to files

Install it with pip

pip install irissqlcli

Or run with docker

docker run -it caretdev/irissqlcli irissqlcli iris://_SYSTEM:SYS@host.docker.internal:1972/USER

Connect to IRIS

$ irissqlcli iris://_SYSTEM@localhost:1972/USER -W
Password for _SYSTEM:
Server:  InterSystems IRIS Version 2022.3.0.606 xDBC Protocol Version 65
Version: 0.1.0
[SQL]_SYSTEM@localhost:USER> select $ZVERSION
+---------------------------------------------------------------------------------------------------------+
| Expression_1                                                                                            |
+---------------------------------------------------------------------------------------------------------+
| IRIS for UNIX (Ubuntu Server LTS for ARM64 Containers) 2022.3 (Build 606U) Mon Jan 30 2023 09:05:12 EST |
+---------------------------------------------------------------------------------------------------------+
1 row in set
Time: 0.063s
[SQL]_SYSTEM@localhost:USER> help
+----------+-------------------+------------------------------------------------------------+
| Command  | Shortcut          | Description                                                |
+----------+-------------------+------------------------------------------------------------+
| .exit    | \q                | Exit.                                                      |
| .mode    | \T                | Change the table format used to output results.            |
| .once    | \o [-o] filename  | Append next result to an output file (overwrite using -o). |
| .schemas | \ds               | List schemas.                                              |
| .tables  | \dt [schema]      | List tables.                                               |
| \e       | \e                | Edit command with editor (uses $EDITOR).                   |
| help     | \?                | Show this help.                                            |
| nopager  | \n                | Disable pager, print to stdout.                            |
| notee    | notee             | Stop writing results to an output file.                    |
| pager    | \P [command]      | Set PAGER. Print the query results via PAGER.              |
| prompt   | \R                | Change prompt format.                                      |
| quit     | \q                | Quit.                                                      |
| tee      | tee [-o] filename | Append all results to an output file (overwrite using -o). |
+----------+-------------------+------------------------------------------------------------+
Time: 0.012s
[SQL]_SYSTEM@localhost:USER>

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Welcome, dear members of the community!

In this article we are going to demonstrate the great potential that IRIS/HealthConnect makes available to all its users with the use of Embedded Python and we are going to do it by developing a small production that will allow us to recognize and identify the faces present in a JPG file from some images that we will use as a reference.

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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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