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.

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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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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

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image

Hi Community,

In this article I will demonstrate the functionality of my app iris-energy-isodata .
Application is accessing energy data (production, demand and supply) from the major Independent System Operators (ISOs) in the United States to ensure sustainable consumption and production patterns (SDG's 12)

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Hi Community,

This post is a introduction of my open exchange iris-fhir-client application.

iris-fhir-client can connect to any open FHIR Server by using embedded python with the help of fhirpy Library.
Get Resource information by terminal and by using CSP web application.

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Hi Community,

This post is a introduction of my openexchange iris-python-apps application. Build by using Embedded Python and Python Flask Web Framework.
Application also demonstrates some of the Python functionalities like Data Science, Data Plotting, Data Visualization and QR Code generation.

image

Features

  • Responsive bootstrap IRIS Dashboard

  • View dashboard details along with interoperability events log and messages.

  • Use of Python plotting from IRIS

  • Use of Jupyter Notebook

  • Introduction to Data Science, Data Plotting and Data Visualization.

  • QR Code generator from python.

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With the release of InterSystems IRIS 2021.2 Preview and all-new LOAD DATA functionality dataset can by added with Objectscript Package Manager (ZPM)

Medical Datasets contains following 12 datasets. For dataset tables and data details please visit ONLINE DEMO by using SuperUser | SYS

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In this article I will explain the usage of %SQL_Diag.Result and %SQL_Diag.Message table along with all-new LOAD DATA functionality.

It is recommended to go through LOAD DATA documentation first.

After successful operation LOAD DATA insert one record in %SQL_Diag.Result table and details are inserted in %SQL_Diag.Message table


Below is the basic command when table is already created and source file does not contain header row.

LOAD DATA FROM FILE 'C://TEMP/mydata.txt' 
INTO MyTable

The file name must include a .txt or .csv (comma-separated values) suffix and both source and target have the same sequence of data columns.

Loading from File Source: Header

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