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#Python

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Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace

Official site.

InterSystems Python Binding Documentation.

Hi, Community!

This article is an overview of SQLAlchemy, so let's begin!

SQLAlchemy is the Python SQL toolkit that serves as a bridge between your Python code and the relational database system of your choice. Created by Michael Bayer, it is currently available as an open-source library under the MIT License. SQLAlchemy supports a wide range of database systems, including PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server, making it versatile and adaptable to different project requirements.

The SQLAlchemy SQL Toolkit and Object Relational Mapper from a comprehensive set of tools for working with databases and Python. It has several distinct areas of functionality which you can use individually or in various combinations. The major components are illustrated below, with component dependencies organized into layers:

_images/sqla_arch_small.png

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I have a simple python script to pull table information from cache 2018.1.2 which is on a windows 10 machine. I get no results though the same query in the management portal works correctly:

import os
import sys
import intersys.pythonbind3 as ipyb
import numpy as np

# Connect to the Cache' database
url = "localhost[1972]:%SYS"
user = "xxxx"
password = "zzzzz"

accessKey = (url, user, password)

def main(accessKey):

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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'

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Announcement
· Sep 12, 2019
Python Gateway 0.8 release

I'm happy to announce the latest Python Gateway release.

This is not an InterSystems product, it is community supported open source project.

Download new release from GitHub.

Now for the new features.

Fast transfer. Pass globals, classes and tables from InterSystems IRIS to Python with ease and speed (10x faster than old QueryExecute). Documentation.

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After so many years of waiting, we finally got an official driver available on Pypi

Additionally, found JDBC driver finally available on Maven already for 3 months, and .Net driver on Nuget more than a month.

As an author of so many implementations of IRIS support for various Python libraries, I wanted to check it. Implementation of DB-API means that it should be replaceable and at least functions defined in the standard. The only difference should be in SQL.

And the beauty of using already existing libraries, that they already implemented other databases by using DB-API standard, and these libraries already expect how driver should work.

I decided to test InterSystems official driver by implementing its support in SQLAlchemy-iris library.

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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>]

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Article
· Jun 12, 2023 3m read
LangChain fixed the SQL for me

This article is a simple quick starter (what I did was) with SqlDatabaseChain.

Hope this ignites some interest.

Many thanks to:

sqlalchemy-iris author @Dmitry Maslennikov

Your project made this possible today.

The article script uses openai API so caution not to share table information and records externally, that you didn't intend to.

A local model could be plugged in , instead if needed.

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Article
· Dec 6, 2022 3m read
OCR DEMO

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 :

input

This is the result of the OCR :

In this example you have the following information:

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Hello,

I believe that the Perl and Python bindings that exist on Cache / Ensemble do not exist on IRIS for Health 2020.1 ... is that correct?

Is there any similar documentation and samples (like below) , that show an example of how to run a basic Perl or Python script that connects with ODBC or whatever the recommended way?

http://docs.intersystems.com/cache20102/csp/docbook/DocBook.UI.Page.cls?...

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I am writing a Python tool to query our cache instances for various information. I have set up the connection without issue:

import intersys.pythonbind3 as pyb

conn = pyb.connection()
conn.connect_now(.....)

db = pyb.database(conn)
qry = pyb.query(db)
obj = pyb.object(db)

I wanted to make the call:

execRes = qry.prepare_class("SYS.Database",'FreeSpace')

But fetching fails because of data mismatches ( as I understand from other posts) and my testing bears out this type of failure.

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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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My usecase is sorting and removing duplicates and getting count from a file that has json messages as a individual rows.

I am currently planning to use pandas for this purpose as its really fast. Below are the steps i am following

1) call a python function (called function) from IRIS classmethod(calling function)

2) the call python function will read the json file in a dataframe

3) perform sorting, dup removal, count in the dataframe

4) convert the dataframe into iris stream

5) return back the stream to iris calling function class method

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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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