I need connect to cache2016 database by python to get some data, but   I don' t know how to connect by python, did anyone know how to create connection？

If you can provide any python code, that will be better! 

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'

Hi Community,

This article is a continuation of my article about  Getting to know Python Flask Web Framework

In this article, we will cover the basics of topics listed below:

1. Routing in Flask Framework
2. Folder structure for a Flask app (Static and Template)
3. Getting and displaying data in the Flask application from IRIS.

So, let's begin.

Schematron is a rule-based validation language for making assertions about the presence or absence of certain patterns in XML documents. A schematron refers to a collection of one or more rules containing tests. Schematrons are written in a form of XML, making them relatively easy for everyone, even non-programmers, to inspect, understand, and write

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

Iris-python-template

Template project with various Python code to be used with InterSystems IRIS Community Edition with container.

Featuring :

• Notebooks
  • Embedded Python Kernel
  • ObjectScript Kernel
  • Vanilla Python Kernel
• Embedded Python
  • Code example
  • Flask demo
• IRIS Python Native APIs
  • Code example

2. Table of Contents

• 1. iris-python-template
• 2. Table of Contents
• 3. Installation
  • 3.1. Docker
• 4. How to start coding
  • 4.1. Prerequisites
    • 4.1.1. Start coding in ObjectScript
    • 4.1.2. Start coding with Embedded Python
    • 4.1.3. Start coding with Notebooks
• 5. What's inside the repository
  • 5.1. Dockerfile

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. This article details how to create new SQL Stored Procedures in InterSystems IRIS Database using Embedded Python.

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:

I'm trying to get started with IRIS for Health but every time I got to a step that asks me to install a .whl-package I cant continue. I'm getting an error that the file does not exist.

Here is the complete error message:

PS C:\Users\x\GIT\quickstarts-multimodel-python> pip install nativeAPI_wheel\irisnative-1.0.0-cp39-cp39m-win_amd64.whl    
WARNING: Requirement 'nativeAPI_wheel\\irisnative-1.0.0-cp39-cp39m-win_amd64.whl' looks like a filename, but the file does not exist
ERROR: irisnative-1.0.0-cp39-cp39m-win_amd64.whl is not a supported wheel on this platform.

Am I doing something wrong?

OCR DEMO

This is a demo of the OCR functionality of the pero-ocr library.

It used in the iris application server in python.

Demo

This is an example of input data :

This is the result of the OCR :

In this example you have the following information:

• The text is in the TextEquiv tag
• The confidence is in the conf attribute of the TextEquiv tag
• The coordinates of the text are in the Coords tag

<PcGts xmlns="http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15/pagecontent.xsd">
  <Metadata>
    <Creator>Pero OCR</Creator>
    <Created>2022-12-13T08:47:12.207893+00:00</Created>
    <LastChange>2022-12-13T08:47:12.207893+00:00</LastChange>
  </Metadata>
  <Page imageFilename="/irisdev/app/misc/in/United_States_Declaration_of_Independence.jpg" imageWidth="3923" imageHeight="4656">
    <TextRegion id="r004">
      <Coords points="977,121 932,121 932,283 1189,277 1178,114 977,121"/>
      <TextLine id="r004-l002" index="0" custom="heights_v2:[123.7,39.0]">
        <Coords points="932,121 932,283 1189,277 1178,114 1130,118 1100,117 1048,121 1019,121 977,121 932,121"/>
        <Baseline points="932,244 977,244 1019,244 1058,244 1100,241 1138,241 1186,238"/>
        <TextEquiv conf="1.000">
          <Unicode>IN</Unicode>
        </TextEquiv>
      </TextLine>
    </TextRegion>
    <TextRegion id="r008">
      <Coords points="1461,107 1241,107 1241,287 2116,290 2549,281 2986,287 3211,277 3203,98 2978,107 2552,101 2114,111 1461,107"/>
      <TextLine id="r008-l001" index="0" custom="heights_v2:[133.8,45.8]">
        <Coords points="1241,107 1241,287 1464,287 1681,284 1896,287 2116,290 2549,281 2986,287 3211,277 3203,98 2978,107 2552,101 2327,107 2114,111 1461,107 1241,107"/>
        <Baseline points="1241,241 1463,241 1682,238 1897,241 2116,244 2331,241 2550,235 2765,238 2984,241 3209,231"/>
        <TextEquiv conf="0.910">
          <Unicode>CONGRESS, JULY 4, 1776.</Unicode>
        </TextEquiv>
      </TextLine>
    </TextRegion>
    <TextRegion id="r001">
      <Coords points="591,452 208,455 209,611 1723,602 2100,608 2855,595 3617,598 3618,442 2855,439 2098,452 1725,446 591,452"/>
      <TextLine id="r001-l003" index="0" custom="heights_v2:[113.8,42.1]">
        <Coords points="208,455 209,611 592,608 968,605 1218,605 1723,602 2100,608 2855,595 3231,595 3617,598 3618,442 2855,439 2477,446 2098,452 1725,446 1346,449 1159,449 591,452 208,455"/>
        <Baseline points="209,569 592,566 968,563 1347,563 1723,559 2100,566 2479,559 2855,553 3231,553 3617,556"/>
        <TextEquiv conf="0.289">
          <Unicode>Dhe unaniwons Declaratton of te Heten maiss States of TNmerica</Unicode>
        </TextEquiv>
      </TextLine>
    </TextRegion>
    <TextRegion id="r000">
      <Coords points="161,3474 161,3539 423,3539 633,3536 958,3468 1354,3472 1764,3581 1944,3571 2246,3730 2653,3718 2718,3633 2855,3608 3238,3557 3514,3554 3739,3462 3762,3397 3761,3333 3735,3139 3743,2696 3730,2177 3735,1920 3723,1727 3736,1341 3717,1014 3724,943 3719,818 3697,693 1012,712 795,776 421,776 183,786 173,848 168,1032 173,2392 160,2713 161,3474"/>
      <TextLine id="r000-l004" index="0" custom="heights_v2:[40.2,18.4]">
        <Coords points="2796,699 2501,703 2205,706 1909,709 1611,709 1460,709 1012,712 1013,771 1315,768 1611,768 1910,768 2206,764 2502,761 2800,758 3096,758 3392,755 3698,752 3697,693 3392,696 3096,699 2802,699 2796,699"/>
        <Baseline points="1013,752 1315,749 1611,749 1910,749 2206,746 2501,743 2800,739 3096,739 3392,736 3697,733"/>
        <TextEquiv conf="0.281">
          <Unicode>hen n lí loune z human venl, i kemu nematy k mpeopě toíohohhehttcal bandí uhích have connechdí tem vith ancthet, andíl</Unicode>
        </TextEquiv>
      </TextLine>
      <TextLine id="r000-l005" index="1" custom="heights_v2:[40.4,19.2]">
        <Coords points="421,776 421,836 794,836 1157,839 1521,839 1884,836 2244,833 2608,829 2971,826 3335,823 3704,813 3703,754 3333,763 2970,767 2607,770 2244,773 1884,776 1520,779 1157,779 795,776 421,776"/>
        <Baseline points="421,817 794,817 1157,820 1521,820 1884,817 2244,813 2608,810 2971,807 3334,804 3704,794"/>
        <TextEquiv conf="0.211">
          <Unicode>o hi ſhwes f he eail, fie rehatal andequal flohon &amp; ufch lhe laav  . kalut and   Aloil ped entilt ttem, a dant rafech to the ofunin o manknd tequies fhat thep</Unicode>
        </TextEquiv>
      </TextLine>
     <!-- Truncated for readme-->
      <TextLine id="r019-l105" index="9" custom="heights_v2:[47.5,21.7]">
        <Coords points="3209,4269 3214,4336 3257,4333 3296,4333 3332,4333 3373,4337 3411,4337 3452,4336 3488,4333 3527,4333 3575,4333 3575,4264 3527,4264 3488,4264 3446,4267 3411,4267 3373,4267 3338,4264 3296,4264 3257,4264 3209,4267 3209,4269"/>
        <Baseline points="3212,4315 3257,4312 3296,4312 3334,4312 3373,4315 3411,4315 3450,4315 3488,4312 3527,4312 3575,4312"/>
        <TextEquiv conf="0.283">
          <Unicode>imuiaa</Unicode>
        </TextEquiv>
      </TextLine>
      <TextLine id="r019-l108" index="10" custom="heights_v2:[40.9,20.2]">
        <Coords points="3198,4406 3251,4409 3294,4409 3339,4412 3394,4415 3398,4354 3343,4351 3298,4348 3251,4348 3202,4345 3198,4406"/>
        <Baseline points="3199,4386 3251,4389 3296,4389 3341,4392 3395,4395"/>
        <TextEquiv conf="0.370">
          <Unicode>Qlver</Unicode>
        </TextEquiv>
      </TextLine>
      <TextLine id="r019-l114" index="11" custom="heights_v2:[39.2,19.1]">
        <Coords points="3181,4469 3225,4466 3263,4466 3305,4466 3327,4466 3352,4465 3386,4462 3424,4462 3472,4462 3472,4404 3424,4404 3386,4404 3341,4407 3305,4407 3263,4407 3225,4407 3177,4411 3181,4469"/>
        <Baseline points="3180,4450 3225,4447 3263,4447 3305,4447 3344,4447 3386,4443 3424,4443 3472,4443"/>
        <TextEquiv conf="0.312">
          <Unicode>Vbalřew/</Unicode>
        </TextEquiv>
      </TextLine>
    </TextRegion>
    <TextRegion id="r020">
      <Coords points="3685,4399 3607,4399 3607,4465 3685,4465 3685,4399"/>
      <TextLine id="r020-l112" index="0" custom="heights_v2:[44.3,21.4]">
        <Coords points="3607,4399 3607,4465 3685,4465 3685,4399 3607,4399"/>
        <Baseline points="3607,4443 3685,4443"/>
        <TextEquiv conf="0.486">
          <Unicode>17.</Unicode>
        </TextEquiv>
      </TextLine>
    </TextRegion>
  </Page>
</PcGts>

ipython-iris-magic

%%iris magic for IPython, can run ObjectScript command in Notebooks

It can be run in any Notebook and does not require any special setup on IRIS or the Notebook.

Demo

Native Api

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>]

Hi Community, 

Let's meet virtually at our Third Community Roundtable! This will be a 60-min discussion on a given topic: Developing with Python. 

Register through >> this Global Masters challenge << 

UPDATE: the roundtable recording is available here.

I have a table, with autoincremented id

CREATE TABLE users (
    id SERIAL NOT NULL,
    name VARCHAR(30) NOT NULL,
    PRIMARY KEY (id)
)

I can add a new item there with an explicit id 

INSERT INTO users (id, name) VALUES (2, 'fred')

And while my id is autoincremented, I can omit it

INSERT INTO users (name) VALUES ('ed')

So, this time, I don't know the id, and I want to somehow get it.

I could do it with LAST_IDENTITY() function, but it just uses %RowID, and have no relation to the primary id

Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Using Python with InterSystems IRIS @ Global Summit 2022

Hello everyone, this is with great pleasure that I announce the V2 of my application 'Contest-FHIR'.

In this new version, I used new tools and techniques I discovered at the EUROPEAN HEALTHCARE HACKATHON in which I was invited by InterSystems as a guest and as a mentor to display the multiple projects I did in my intership back in April 2022.

Today I present to you the V2 of my application, it can now transform CSV to FHIR to SQL to JUPYTER notebook.

This is for me a really huge step in InterSystems technologies and I think this tool will be used for many other purpuse and cases.

Hello everyone, I’m a French student in academical exchange for my fifth year of engineering school and here is my participation in the FHIR for Women's Health contest.

This project is supposed to be seen as the backend of a bigger application. It can be plugged into a Front End app and help you gather information from your patients. It will read your data in local and use a Data Transformation to make it into a FHIR object before sending it to the included local FHIR server.

I wanted to participate because Women's Health is a really important topic that must be discussed more.

This is not an issue in ObjectScript, due to its typeless nature. But it's essential for external programming languages that care a bit more about types of variables.

And in any case, it's still reproducible in ObjectScript. I have table

CREATE TABLE some_table (
        id INTEGER NOT NULL, 
        x INTEGER, 
        y INTEGER, 
        z VARCHAR(50), 
        PRIMARY KEY (id)
)

And data

INSERT INTO some_table (id, x, y, z) VALUES (1, 1, 2, 'z1');
INSERT INTO some_table (id, x, y, z) VALUES (2, 2, 3, 'z2');
INSERT INTO some_table (id, x, y, z) VALUES (3, 3, 4, 'z3');
INSERT INTO some_table (id, x, y, z) VALUES (4, 4, 5, 'z4');

I am demonstrating a use case of how we can create an IRIS Interoperability Production for special use in an external language. InterSystems IRIS, within Interoperability has a framework called Production Extension (PEX), using which we can create productions and program them as per their purpose using external languages like Java, Python etc, and also develop custom inbound and outbound adapters to communicate with other applications. Here in this demo, I will demonstrate a PEX framework-based production created by @Guillaume.

In this GitHub based on this InterSystems community rest api template Guillaume and I have created this example of all the import CRUD operations usable using ONLY Python on IRIS and using Flask.

Using the IRIS ORM or by simply doing SQL requests as both methods are seen in the GitHub.

1. intersystems-iris-docker-rest-template

This is a template of a REST API application built in python in InterSystems IRIS. It also has OPEN API spec, can be developed with Docker and VSCode.

• 1. intersystems-iris-docker-rest-template
• 2. Prerequisites
• 3. Installation
  • 3.1. Installation for development
  • 3.2. Management Portal and VSCode

Easy, easy, I'm not promoting a war against the machines in the best sci-fi way to avoid world domination of Ultron or Skynet. Not yet, not yet 🤔

I invite you to challenge the machines through the creation of a very simple game using ObjectScript with embedded Python.

I have to say that I got super excited with the feature of Embedded Python on InterSystems IRIS, it's incredible the bunch of possibilities that opens to create fantastic apps.

Let's build a tic tac toe, the rules are quite simple and I believe that everyone knows how to play.

grpc-iris-interop

The aim of this proof of concept is to show how the gRPC protocl can be implemented with the IRIS ineroperabilty module.

architecture

On this schema, we can see that the gRPC Service is hosted by IRIS.

This service must invoke the IRIS interoperability module. For that it transforms the protobuf messages to IRIS messages.

The gRPC client is host by a Flask server for demo purpose, the gRPC client can also be invoke by the python script.

definition of each file

users.proto

syntax = "proto3";
package users;

service Users {
  rpc CreateUser (users.CreateUserRequest) returns (users.CreateUserResponse);
  rpc GetUser (users.GetUserRequest) returns (users.GetUserResponse);
}

message User {
  uint32 id = 1;
  string name = 2;
  string dob = 3;
  string company = 4;
  string phone = 5;
  string title = 6;

}

message CreateUserRequest {
  User user = 1;
}

message CreateUserResponse {
  User user = 1;
}

message GetUserRequest {
  uint32 id = 1;
}

message GetUserResponse {
  User user = 1;
}

Hi Community,
In this article, I will introduce Python Flask Web Framework. Together we will create a minimal web application to connect to IRIS and get data from it.
Below you can find the steps we will need to follow:

• Step 1 : Introduction to Python Flask Web Framework
• Step 2 : Installation of Flask module
• Step 3 : Creation of web application using Flask
• Step 4 : Use of HTML Templates 
• Step 5 : Installation of IRIS Python Native module
• Step 6 : Establishment of a connection with IRIS 
• Step 7 : Transferring data from IRIS to Flask and displaying it

So Let's start with step 1

Step1-Introduction to Python Flask Web Framework 

Flask is a small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier. It gives developers flexibility and is a more accessible framework for new developers since it allows to build a web application quickly using only a single Python file. Flask is also extensible and doesn’t requires a particular directory structure or complicated boilerplate code before getting started.

For more details please view Flask Documentations

In my Python script I import intersys2.pythonbind3 to create the connection and define a database object as db

I execute the method 

     res = self.db.run_class_method("%Library.GlobalEdit", "GetGlobalSize",[<db>, allocated,used])

This executes correctly as I loop through a list of databases.

Upon success I see that the return arg of "res" contains the string "status(0,)" which I interpret as successful. This is verified by the returned values of allocated and used being accurate.

Hi all. Today we are going to install Jupyter Notebook and connect it to Apache Spark and InterSystems IRIS.

Note: I have done the following on Ubuntu 18.04,  Python 3.6.5.

Introduction

If you are looking for well-known, widely-spread and mainly popular among Python users notebook instead of Apache Zeppelin, you should choose Jupyter notebook. Jupyter notebook is a very powerful and great data science tool. it has a big community and a lot of additional software and integrations.

Hello everyone, I’m a French student that just arrived in Prague for an academical exchange for my fifth year of engineering school and here is my participation in the interop contest.

I hadn’t much time to code since I was moving from France to Prague and I’m participating alone, so I decided to make a project that’s more like a template rather than an application.

I wanted to participate since my field (Data Science and AI) is not often linked with sustainability and the contest was a way for me to express myself in this important subject that is sustainability and Environnement.

I'm after some more in-depth information about how the embedded python is implemented with regards to how it works when a python method is called from a CSP page. Will it run in the same Windows process? Will there be any issues with multitasking (considering python doesn't seem very good at this)?

Also, is there a performance penalty to pay for running embedded python vs "using IRIS APIs from Python". 

Another question is what python interpreter the embedded python is using? Is it an Intersystems one or the regular c.python? Version?

Excited to go Python!

1. Integrated ML Demonstration

This repository is a demonstration of IntegratedML and Embedded Python.

• 1. Integrated ML Demonstration
• 2. Building the demo
  • 2.1. Architecture
  • 2.2. Building the nginx container
• 3. Running the demo
• 4. Python back-end
  • 4.1. Embedded Python
    • 4.1.1. Setting up the container
    • 4.1.2. Using Embedded Python
    • 4.1.3. Side By Side Comparaison
  • 4.2. Launching the server
• 5. IntegratedML
  • 5.1. Exploring both datasets
  • 5.2. Managing models
    • 5.2.1. Creating a model
    • 5.2.2. Training a model
    • 5.2.3. Validating a model
    • 5.2.4. Making predictions
• 6. Using COS
• 7. More explainability with DataRobot
• 8. Conclusion

Hi everyone!

I am recruiting on a fully remote Intersystems Developer.  This role will be a long term contract to begin with high likelihood of extensions or conversion permanent.  Please check out the job description down below and feel free to send me an email with your resume: Spencer.Frey@insightglobal.com 

The Healthcare Integration Developer is responsible for designing, developing, and deploying the complex near real-time and real-time data interoperability solutions using Healthcare industry-standard data formats/specifications (HL7, FHIR, EDI, etc.).

In the previous articles, we learned the basics of using IMAP protocol to handle messages from mailboxes in an e-mail server. That was cool and interesting, but you could take advantage of implementations created by other ones, available in libraries ready to use.

One of the improvements to the IRIS data platform is the ability to write Python code alongside ObjectScript in the same IRIS process. This new feature is called Embedded Python. Embedded Python lets us bring to our ObjectScript code the power of the huge Python ecosystem’s libraries.