I am brand new to using AI. I downloaded some medical visit progress notes from my Patient Portal. I extracted text from PDF files. I found a YouTube video that showed how to extract metadata using an OpenAI query / prompt such as this one:
I'm trying to create an indexed table with an vector field so I can search by the vector value. I've been investigating and found that to get the vector value based on the text (token), use a Python method like the following:
i am building a new container with Docker-Compose with a --volume ./:/irisdev/app:rw to mount a host volume (UBUNTU).
If i try to create some data in /irisdev/app i have no write permission
If i open a bash host session i see all mounted files of my ./ directory. But with ls -l only UID 100 has write permission. The UID for "iris owner" is 52773.
Is there a way to set the UID and Group to "iris owner" ?
When setting up a new web app in iris (iris is in a container) iris complains that a WSGI framework is not installed. I have installed python into the container as well as both flask and django via the python virtual environment (see second screenshot) and the python language server is running
Is this the wrong way to install flask? How do I get the container version to recoginize that flask is installed?
Hi, I'm trying to use the iris python package to create a connection to and Iris Health instance (Docker Container), but getting and error. I can login to the instance using the UI with the same uname/password but unable to create the python connection. Any suggestions?
Just curious what the process is for debugging either a .py file that is uploaded to a specific namespace/location or a python classmethod defined in a .cls file.
My method can be run via the "Debug" breadcrumb but it doesnt hit breakpoints it just runs without a debugger. Also objectscript methods debug correctly
I’m currently experimenting with the SQL Gateway Connection, CREATE FOREIGN SERVER, and the THROUGH command (IRIS Documentation). To speed up my tests, I’ve combined several DemoDataSets in a Docker container and would like to automate the creation of SQL Gateway Connections using code.
I'm trying to get the python external language server started up in a container I am starting. The container is up and running but I cannot get the python language server to start.
This is the error that is coming back when trying to start the language server. I have tried creating a custom image with that package installed but it still does not work. Is there something specific that needs to be done to to get this working? (FYI, I have the dotnet version working but creating a custom image and installing the dotnet runtimes via a docker file)
I'm trying to create a custom IRIS4Health docker container utilizing CPF Merge but getting an error below. The merge file has been copied to the container within the docker file. Anybody know what would cause this error?
ERROR: failed to solve: process "/bin/sh -c iris start IRIS && iris merge IRIS mergefile.cpf" did not complete successfully: exit code: 133
I want to try out iris-DataViz app to visualize my own data. I cloned the repo and docker-compose up -d in AWS. IRIS portal works, but on port 8051 I get nothing. I checked my AWS security groups. I reversed IRIS webserver port and 8051 and I can connect to Management portal using port 8051. I don't understand what is refusing connection on port 8051 running in iris-DataViz container.
I'm discovering IRIS and I need to POC the solution, with a constraint: containerization. I'm used to deploy my apps in a Swarm cluster, and all my bind volumes are written on a GlusterFS volume.
The problem here, when I start my stack, the first log is:
[WARN] ISC_DATA_DIRECTORY is located on a mount of type 'fuse.glusterfs' which is not supported, consider a named volume for '/iris_conf'
Hi there, I'm wondering if anyone has run into an issue with <FILEFULL> when building an image from the ISC image? Specifically what's happening in our build is we are pre-loading our codebase into the image to make deployments faster and setting up source control, etc. When loading our libraries however we get hit with a <FILEFULL>. The resource limits on docker are pretty beefy and when observing resources on both the machine and container level we don't hit any issues. Oddly, this only happens when using the ARM64 version.
Depuis ce matin j'arrive pas à compiler ou lancer mes programmes qui tourne en local sur docker avec l'image : intersystemsdc/irishealth-community:2024.1-zpm
J'ai toujours cette erreur sur le terminal ou le portal de management : request to http://localhost:52773/api/atelier/ failed, reason: socket hang up
Dans mes logs docker aussi j'ai des erreurs en conitnu , voici un extrait ...
I am fairly new to using Docker, and instead of trying to get IIS, a Web Gateway, and Docker desktop working within my Windows environment, I thought I would try running it in a WSL2 Ubuntu environment since this is similar to how use it on my server. I have installed Apache and the Web Gateway on my WSL2 Ubuntu.
iris-1 | [INFO] Starting InterSystems IRIS instance IRIS...
iris-1 | [INFO] Starting Control Process
iris-1 | Global buffer setting requires attention. Auto-selected 25% of total memory.
iris-1 | Allocated 1508MB shared memory
iris-1 | 953MB global buffers, 95MB routine buffers
iris-1 | This copy of InterSystems IRIS has been licensed for use exclusively by:
iris-1 | ISC RE Build Community Key
iris-1 | Copyright (c) 1986-2024 by InterSystems Corporation
iris-1 | Any other use is a violation of your license agreement
iris-1 | Starting IRIS
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