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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I am aware that we have 5 License Units on Community Edition. But I have issues figuring out how it's working.

I have Community Edition

USER>write $system.License.KeyCustomerName()
InterSystems IRIS Community

Freshly started system, only terminal session open, so, only one license units used, and 4 left. As expected

USER>write $system.License.LUConsumed()
1
USER>write $system.License.LUAvailable()
4

Quote from documentation - $SYSTEM.License.MaxConnections() returns the maximum number of connections a user can make while consuming one license unit.

USER>write $system.License.MaxConnections()
25

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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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image

Hi Community

In this article, I will introduce my application irisChatGPT which is built on LangChain Framework.

First of all, let us have a brief overview of the framework.

The entire world is talking about ChatGPT and how Large Language Models(LLMs) have become so powerful and has been performing beyond expectations, giving human-like conversations. This is just the beginning of how this can be applied to every enterprise and every domain!

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Question
· Jul 28, 2023
IRISPIP Cryptodome C++ Error

Hello,

I need AES ECB with PKSC7 padding for an interface.
Unfortunately, the %SYSTEM.Encryption.AESEncode cannot do this.

Therefore I wanted to include the following python lib.
PyCrptydome -> https://pycryptodome.readthedocs.io/en/latest/index.html

We need to install the package offline on the system. So I downloaded it and put it in the MGR/Python/ directory.

However, when I try to install it, I get the following error message:

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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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Article
· Sep 18, 2023 7m read
Vectors support, well almost

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

  • Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
  • Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
  • Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.

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Introduction

Data analytics is a crucial aspect of business decision-making in today's fast-paced world. Organizations rely heavily on data analysis to make informed decisions and stay ahead of the competition. In this article, we will explore how data analytics can be performed using Pandas and Intersystems Embedded Python. We will discuss the basics of Pandas, the benefits of using Intersystems Embedded Python, and how they can be used together to perform efficient data analytics.

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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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For my Embedded Python ONLY demo package I need some user input.
Similar to ObjectScript

read "say somthing",reply

I use the Python equivalent

reply = input("say something")

And this works excellent without problems from Terminal or Doker console

BAD SURPRISE:
with WebTermnial ObjectSscript works fine, but embedded Python fails badly.

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Hi developers!

Those who code IRIS solutions in VSCode using Docker often use the convenient ObjectScript menu, which contains links to Management Portal, Class Reference, Unittest portal, Productions, etc.

While drilling down to a Dev Container to code Embedded Python there is no such option, at least within my settings:

So I don't know how to connect to it.

Thoughts?

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   _________ ___ ____  
  |__  /  _ \_ _|  _ \ 
    / /| |_) | || |_) |
   / /_|  __/| ||  __/ 
  /____|_|  |___|_|    

Starting in version 2021.1, InterSystems IRIS began shipping with a python runtime in the engine's kernel. However, there was no way to install packages from within the instance. The main draw of python is its enormous package ecosystem. With that in mind, I introduce my side project zpip, a pip wrapper that is callable from the iris terminal.

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Hi folks!

How can I refer to a classmethod of the same class while coding another classmethod with Embedded python?

I know that I can call it with iris.cls(classname).MethodName(), but it's more cumbersome even comparing with ObjectScript, where I can call ..MethodName().

Compare ObjectScript:

do ..SetupGame()

and the same call in EmbeddedPython:

    iris.cls('eshvarov.sample.SeaBattle.GamePython').SetupGame()

Thoughts?

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